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For: Klasnja P, Hekler EB, Shiffman S, Boruvka A, Almirall D, Tewari A, Murphy SA. Microrandomized trials: An experimental design for developing just-in-time adaptive interventions. Health Psychol 2015;34S:1220-8. [PMID: 26651463 DOI: 10.1037/hea0000305] [Cited by in Crossref: 307] [Cited by in F6Publishing: 341] [Article Influence: 51.2] [Reference Citation Analysis]
Number Citing Articles
1 Schulte-strathaus JCC, Rauschenberg C, Baumeister H, Reininghaus U. Ecological Momentary Interventions in Public Mental Health Provision. Studies in Neuroscience, Psychology and Behavioral Economics 2023. [DOI: 10.1007/978-3-030-98546-2_25] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Smith SN, Seewald NJ, Klasnja P. Design considerations for preparation, optimization, and evaluation of digital therapeutics. Digital Therapeutics for Mental Health and Addiction 2023. [DOI: 10.1016/b978-0-323-90045-4.00015-0] [Reference Citation Analysis]
3 Rabbi M, Klasnja P, Choudhury T, Tewari A, Murphy S. Optimizing mHealth Interventions with a Bandit. Studies in Neuroscience, Psychology and Behavioral Economics 2023. [DOI: 10.1007/978-3-030-98546-2_21] [Reference Citation Analysis]
4 Liu X, Deliu N, Chakraborty B. Microrandomized Trials: Developing Just-in-Time Adaptive Interventions for Better Public Health. Am J Public Health 2022. [DOI: 10.2105/ajph.2022.307150] [Reference Citation Analysis]
5 Onnink CM, Konstantinidou Y, Moskovich AA, Karekla MK, Merwin RM. Acceptance and commitment therapy (ACT) for eating disorders: A systematic review of intervention studies and call to action. Journal of Contextual Behavioral Science 2022;26:11-28. [DOI: 10.1016/j.jcbs.2022.08.005] [Reference Citation Analysis]
6 Dolgopolov IS, Rykov MY. Personalized medicine: current trends and prospects. Ross vestn perinatol pediatr 2022;67:14-21. [DOI: 10.21508/1027-4065-2022-67-4-14-21] [Reference Citation Analysis]
7 Ho SM, Liu X, Seraj MS, Dickey S. Social distance “nudge:” a context aware mHealth intervention in response to COVID pandemics. Comput Math Organ Theory. [DOI: 10.1007/s10588-022-09365-0] [Reference Citation Analysis]
8 Albers N, Neerincx MA, Penfornis KM, Brinkman W. Users’ needs for a digital smoking cessation application and how to address them: A mixed-methods study. PeerJ 2022;10:e13824. [DOI: 10.7717/peerj.13824] [Reference Citation Analysis]
9 Dolgopolov IS, Rykov MY. The evolution of personalized medicine: literature review. Issled prakt med (Print) 2022;9:117-128. [DOI: 10.17709/2410-1893-2022-9-3-9] [Reference Citation Analysis]
10 Kim MT, Heitkemper EM, Hébert ET, Hecht J, Crawford A, Nnaka T, Hutson TS, Rhee H, Radhakrishnan K. Redesigning culturally tailored intervention in the precision health era: Self-management science context. Nurs Outlook 2022:S0029-6554(22)00103-8. [PMID: 35933178 DOI: 10.1016/j.outlook.2022.05.015] [Reference Citation Analysis]
11 Coppersmith DDL, Dempsey W, Kleiman EM, Bentley KH, Murphy SA, Nock MK. Just-in-Time Adaptive Interventions for Suicide Prevention: Promise, Challenges, and Future Directions. Psychiatry 2022;:1-17. [PMID: 35848800 DOI: 10.1080/00332747.2022.2092828] [Reference Citation Analysis]
12 Belcher BR, Kang DW, Yunker AG, Dieli-Conwright CM. Interventions to Reduce Sedentary Behavior in Cancer Patients and Survivors: a Systematic Review. Curr Oncol Rep 2022. [PMID: 35829982 DOI: 10.1007/s11912-022-01313-0] [Reference Citation Analysis]
13 Cassidy S, Kroeger CM, Wang T, Mitra S, Liu C, Ribeiro R, Dai A, Lau J, Huang R, Masedunkas A, Jose S, Liu N, Avery L, Yang J, Mcgrady M, Lo SN, George J, Cistulli PA, Khor L, Kozor R, Ugander M, Wilcox I, Hunyor I, Fontana L. Impact of an intensive lifestyle program on low attenuation plaque and myocardial perfusion in coronary heart disease: A randomised clinical trial protocol. NHA 2022. [DOI: 10.3233/nha-210146] [Reference Citation Analysis]
14 Bertsimas D, Klasnja P, Murphy S, Na L. Data-driven Interpretable Policy Construction for Personalized Mobile Health. 2022 IEEE International Conference on Digital Health (ICDH) 2022. [DOI: 10.1109/icdh55609.2022.00010] [Reference Citation Analysis]
15 Kaurin A, Kolar DR. Ambulantes Assessment in der klinischen Kinder- und Jugendpsychologie. Psychotherapie 2022. [DOI: 10.1007/s00278-022-00605-x] [Reference Citation Analysis]
16 Kramer AC, Neubauer AB, Schmiedek F. The Effectiveness of A Slow-Paced Diaphragmatic Breathing Exercise in Children’s Daily Life: A Micro-Randomized Trial. Journal of Clinical Child & Adolescent Psychology 2022. [DOI: 10.1080/15374416.2022.2084743] [Reference Citation Analysis]
17 Domin A, Uslu A, Schulz A, Ouzzahra Y, Vögele C. A Theory-Informed, Personalized mHealth Intervention for Adolescents (Mobile App for Physical Activity): Development and Pilot Study. JMIR Form Res 2022;6:e35118. [DOI: 10.2196/35118] [Reference Citation Analysis]
18 Antle AN, Hourcade JP. Research in Child–Computer Interaction: Provocations and envisioning future directions. International Journal of Child-Computer Interaction 2022;32:100374. [DOI: 10.1016/j.ijcci.2021.100374] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
19 Jeganathan VS, Golbus JR, Gupta K, Luff E, Dempsey W, Boyden T, Rubenfire M, Mukherjee B, Klasnja P, Kheterpal S, Nallamothu BK. Virtual AppLication-supported Environment To INcrease Exercise (VALENTINE) during cardiac rehabilitation study: Rationale and design. Am Heart J 2022;248:53-62. [PMID: 35235834 DOI: 10.1016/j.ahj.2022.02.012] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
20 Weerdmeester J, van Rooij MM, Granic I. Visualization, Self-Efficacy, and Locus of Control in a Virtual Reality Biofeedback Video Game for Anxiety Regulation. Cyberpsychology, Behavior, and Social Networking 2022;25:360-368. [DOI: 10.1089/cyber.2022.0030] [Reference Citation Analysis]
21 Scheier LM, Hansen WB. Gamified Digital Apps and Their Utilization to Improve Health Behaviors in the 21st Century. Handbook of Research on Gamification Dynamics and User Experience Design 2022. [DOI: 10.4018/978-1-6684-4291-3.ch010] [Reference Citation Analysis]
22 Nordby ES, Gjestad R, Kenter RMF, Guribye F, Mukhiya SK, Lundervold AJ, Nordgreen T. The Effect of SMS Reminders on Adherence in a Self-Guided Internet-Delivered Intervention for Adults With ADHD. Front Digit Health 2022;4:821031. [DOI: 10.3389/fdgth.2022.821031] [Reference Citation Analysis]
23 Takeuchi H, Suwa K, Kishi A, Nakamura T, Yoshiuchi K, Yamamoto Y. The Effects of Personalized Sleep Feedback on Habitual Sleep Behavior and Momentary Symptoms in Daily Life: Mobile Health Intervention Trial using a Healthcare IoT System (Preprint).. [DOI: 10.2196/preprints.39150] [Reference Citation Analysis]
24 Takeuchi H, Suwa K, Kishi A, Nakamura T, Yoshiuchi K, Yamamoto Y. The Effects of Objective Push-type Sleep Feedback on Habitual Sleep Behavior and Momentary Symptoms in Daily Life: Mobile Health Intervention Trial using a Healthcare IoT System (Preprint). JMIR mHealth and uHealth 2022. [DOI: 10.2196/39150] [Reference Citation Analysis]
25 Steele R, Hillsgrove T, Khoshavi N, Jaimes LG. A survey of cyber-physical system implementations of real-time personalized interventions. J Ambient Intell Human Comput 2022;13:2325-2342. [DOI: 10.1007/s12652-021-03263-0] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
26 Perski O, Hébert ET, Naughton F, Hekler EB, Brown J, Businelle MS. Technology-mediated just-in-time adaptive interventions (JITAIs) to reduce harmful substance use: a systematic review. Addiction 2022;117:1220-41. [PMID: 34514668 DOI: 10.1111/add.15687] [Cited by in Crossref: 6] [Cited by in F6Publishing: 9] [Article Influence: 6.0] [Reference Citation Analysis]
27 Dowling NA, Merkouris SS, Youssef G, Lubman DI, Bagot K, Hawker C, Portogallo H, Thomas AC, Rodda SN. GAMBLINGLESS IN-THE-MOMENT: Protocol for a micro-randomised trial of a gambling Just-In-Time Adaptive Intervention (Preprint). JMIR Research Protocols. [DOI: 10.2196/38958] [Reference Citation Analysis]
28 Dowling N. GamblingLess In-The-Moment: Protocol for a micro-randomised trial of a gambling Just-In-Time Adaptive Intervention (Preprint).. [DOI: 10.2196/preprints.38958] [Reference Citation Analysis]
29 Rodda S, Bagot K, Merkouris S, Youssef G, Lubman D, Thomas A, Dowling N. Gambling Habit Hacker: Protocol for a micro-randomised trial of planning interventions delivered via a Just-In-Time Adaptive Intervention for adult gamblers (Preprint). JMIR Research Protocols. [DOI: 10.2196/38919] [Reference Citation Analysis]
30 Rodda S, Bagot K, Merkouris S, Youssef G, Lubman D, Thomas A, Dowling N. Gambling Habit Hacker: Protocol for a micro-randomised trial of planning interventions delivered via a Just-In-Time Adaptive Intervention for adult gamblers (Preprint).. [DOI: 10.2196/preprints.38919] [Reference Citation Analysis]
31 Dhinagaran DA, Martinengo L, Ho MR, Joty S, Kowatsch T, Atun R, Tudor Car L. Designing, developing, evaluating, and Implementing a Smartphone-delivered, rule-based COnVERsational agent (DISCOVER): a conceptual framework (Preprint).. [DOI: 10.2196/preprints.38740] [Reference Citation Analysis]
32 Dhinagaran DA, Martinengo L, Ho MR, Joty S, Kowatsch T, Atun R, Tudor Car L. Designing, developing, evaluating, and Implementing a Smartphone-delivered, rule-based COnVERsational agent (DISCOVER): development of a conceptual framework (Preprint). JMIR mHealth and uHealth 2022. [DOI: 10.2196/38740] [Reference Citation Analysis]
33 Bernstein EE, Weingarden H, Wolfe EC, Hall MD, Snorrason I, Wilhelm S. Human Support in App-Based Cognitive Behavioral Therapies for Emotional Disorders: Scoping Review. J Med Internet Res 2022;24:e33307. [PMID: 35394434 DOI: 10.2196/33307] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
34 Tarricone R, Petracca F, Cucciniello M, Ciani O. Recommendations for developing a lifecycle, multidimensional assessment framework for mobile medical apps. Health Econ 2022. [PMID: 35388585 DOI: 10.1002/hec.4505] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
35 Vandesande S, Bosmans G, Sterkenburg P, Schuengel C, Maes B. A Tailored Approach to Supporting Parent-Child Attachment in Families with Children with Severe Disabilities: Matching Interventions to Needs. International Journal of Disability, Development and Education. [DOI: 10.1080/1034912x.2022.2060950] [Reference Citation Analysis]
36 Kleiman EM, Bentley KH, Wacha-montes A, Taylor ME, Lozy O, Conti K, Reese Mayer W. A pilot implementation-effectiveness trial of a single-session telehealth workshop and smartphone-based cognitive behavioral intervention for managing emotions among college students. Behavior Therapy 2022. [DOI: 10.1016/j.beth.2022.04.008] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
37 Kornfield R, Mohr DC, Ranney R, Lattie EG, Meyerhoff J, Williams JJ, Reddy M. Involving Crowdworkers with Lived Experience in Content-Development for Push-Based Digital Mental Health Tools: Lessons Learned from Crowdsourcing Mental Health Messages. Proc ACM Hum -Comput Interact 2022;6:1-30. [DOI: 10.1145/3512946] [Reference Citation Analysis]
38 Marcu G, Ondersma SJ, Spiller AN, Broderick BM, Kadri R, Buis LR. The Perceived Benefits of Digital Interventions for Behavioral Health: Qualitative Interview Study. J Med Internet Res 2022;24:e34300. [PMID: 35353045 DOI: 10.2196/34300] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
39 Militello L, Sobolev M, Okeke F, Adler DA, Nahum-Shani I. Digital Prompts to Increase Engagement With the Headspace App and for Stress Regulation Among Parents: Feasibility Study. JMIR Form Res 2022;6:e30606. [PMID: 35311675 DOI: 10.2196/30606] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
40 Wang J, Fang Y, Frank E, Walton MA, Burmeister M, Tewari A, Dempsey W, Necamp T, Sen S, Wu Z. Effectiveness of gamified team competition in the context of mHealth intervention for medical interns: a micro-randomized trial.. [DOI: 10.1101/2022.03.11.22272278] [Reference Citation Analysis]
41 Beinema T, op den Akker H, Hurmuz M, Jansen-kosterink S, Hermens H. Automatic topic selection for long-term interaction with embodied conversational agents in health coaching: A micro-randomized trial. Internet Interventions 2022;27:100502. [DOI: 10.1016/j.invent.2022.100502] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
42 Chaudhari S, Ghanvatkar S, Kankanhalli A. Personalization of Intervention Timing for Physical Activity: Scoping Review. JMIR Mhealth Uhealth 2022;10:e31327. [DOI: 10.2196/31327] [Reference Citation Analysis]
43 Spruijt-Metz D, Marlin BM, Pavel M, Rivera DE, Hekler E, De La Torre S, El Mistiri M, Golaszweski NM, Li C, Braga De Braganca R, Tung K, Kha R, Klasnja P. Advancing Behavioral Intervention and Theory Development for Mobile Health: The HeartSteps II Protocol. Int J Environ Res Public Health 2022;19:2267. [PMID: 35206455 DOI: 10.3390/ijerph19042267] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
44 Wang L, Miller L. Assessment and Disruption of Ruminative Episodes to Enhance Mobile CBT Just-in-Time Adaptive Interventions in Clinical Depression: Pilot Randomized Controlled Trial (Preprint).. [DOI: 10.2196/preprints.37270] [Reference Citation Analysis]
45 Ponnada A, Wang S, Chu D, Do B, Dunton G, Intille S. Intensive Longitudinal Data Collection Using Microinteraction Ecological Momentary Assessment: Pilot and Preliminary Results. JMIR Form Res 2022;6:e32772. [PMID: 35138253 DOI: 10.2196/32772] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
46 Stuart A, Katz D, Stevenson C, Gooch D, Harkin L, Bennasar M, Sanderson L, Liddle J, Bennaceur A, Levine M, Mehta V, Wijesundara A, Talbot C, Bandara A, Price B, Nuseibeh B. Loneliness in older people and COVID-19: Applying the social identity approach to digital intervention design. Computers in Human Behavior Reports 2022. [DOI: 10.1016/j.chbr.2022.100179] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
47 Lattie EG, Stiles-shields C, Graham AK. An overview of and recommendations for more accessible digital mental health services. Nat Rev Psychol 2022;1:87-100. [DOI: 10.1038/s44159-021-00003-1] [Cited by in Crossref: 12] [Cited by in F6Publishing: 16] [Article Influence: 12.0] [Reference Citation Analysis]
48 Authors’ Biographies & Index. Applied Affective Computing 2022. [DOI: 10.1145/3502398.3502413] [Reference Citation Analysis]
49 Future of Affective Computing and Applied Affective Computing. Applied Affective Computing 2022. [DOI: 10.1145/3502398.3502411] [Reference Citation Analysis]
50 Addressing Ethical Issues of Affective Computing. Applied Affective Computing 2022. [DOI: 10.1145/3502398.3502410] [Reference Citation Analysis]
51 Machine Learning Approaches for Applied Affective Computing. Applied Affective Computing 2022. [DOI: 10.1145/3502398.3502402] [Reference Citation Analysis]
52 Synthesizing Natural and Believable Emotional Expressions. Applied Affective Computing 2022. [DOI: 10.1145/3502398.3502406] [Reference Citation Analysis]
53 Reinforcement Learning and Affective Computing. Applied Affective Computing 2022. [DOI: 10.1145/3502398.3502405] [Reference Citation Analysis]
54 Preface. Applied Affective Computing 2022. [DOI: 10.1145/3502398.3502399] [Reference Citation Analysis]
55 Tian L, Oviatt S, Muszynski M, Chamberlain BC, Healey J, Sano A. Applied Affective Computing. 2022. [DOI: 10.1145/3502398] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
56 Emotions as Studied in Psychology and Cognitive Science. Applied Affective Computing 2022. [DOI: 10.1145/3502398.3502401] [Reference Citation Analysis]
57 Introduction to Applied Affective Computing. Applied Affective Computing 2022. [DOI: 10.1145/3502398.3502400] [Reference Citation Analysis]
58 Emotion-aware Human–Robot Interaction and Social Robots. Applied Affective Computing 2022. [DOI: 10.1145/3502398.3502407] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
59 Multimodal Data Collection and Processing for Applied Affective Computing. Applied Affective Computing 2022. [DOI: 10.1145/3502398.3502403] [Reference Citation Analysis]
60 Emotion Recognition in the Wild. Applied Affective Computing 2022. [DOI: 10.1145/3502398.3502404] [Reference Citation Analysis]
61 Applied Affective Computing in Built Environments. Applied Affective Computing 2022. [DOI: 10.1145/3502398.3502409] [Reference Citation Analysis]
62 Bibliography. Applied Affective Computing 2022. [DOI: 10.1145/3502398.3502412] [Reference Citation Analysis]
63 Affective Computing for Enhancing Well-Being. Applied Affective Computing 2022. [DOI: 10.1145/3502398.3502408] [Reference Citation Analysis]
64 Coppersmith G. Digital Life Data in the Clinical Whitespace. Curr Dir Psychol Sci. [DOI: 10.1177/09637214211068839] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
65 Mariakakis A, Karkar R, Patel SN, Kientz JA, Fogarty J, Munson SA. Using Health Concept Surveying to Elicit Usable Evidence: Case Studies of a Novel Evaluation Methodology. JMIR Hum Factors 2022;9:e30474. [PMID: 34982038 DOI: 10.2196/30474] [Reference Citation Analysis]
66 Tong HL, Quiroz JC, Kocaballi AB, Ijaz K, Coiera E, Chow CK, Laranjo L. A personalized mobile app for physical activity: An experimental mixed-methods study. DIGITAL HEALTH 2022;8:205520762211150. [DOI: 10.1177/20552076221115017] [Reference Citation Analysis]
67 Gan DZQ, McGillivray L, Larsen ME, Christensen H, Torok M. Technology-supported strategies for promoting user engagement with digital mental health interventions: A systematic review. Digit Health 2022;8:20552076221098268. [PMID: 35677785 DOI: 10.1177/20552076221098268] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
68 Kim K, Kennedy EH, Naimi AI. Incremental intervention effects in studies with dropout and many timepoints #. Journal of Causal Inference 2021;9:302-44. [DOI: 10.1515/jci-2020-0031] [Reference Citation Analysis]
69 Bernstein SL, Carter PM, Meurer W, Walton MA, Kidwell KM, Cunningham RM, Dziura J, Collins LM. Advances in clinical trials methodology: Intervention optimization approaches in emergency medicine. Am J Emerg Med 2021;53:6-11. [PMID: 34968972 DOI: 10.1016/j.ajem.2021.12.028] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
70 Guastaferro K, Strayhorn JC, Collins LM. The multiphase optimization strategy (MOST) in child maltreatment prevention research. J Child Fam Stud 2021;30:2481-91. [PMID: 34887652 DOI: 10.1007/s10826-021-02062-7] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
71 Goldstein SP, Zhang F, Klasnja P, Hoover A, Wing RR, Thomas JG. Optimizing a Just-in-Time Adaptive Intervention to Improve Dietary Adherence in Behavioral Obesity Treatment: Protocol for a Microrandomized Trial. JMIR Res Protoc 2021;10:e33568. [PMID: 34874892 DOI: 10.2196/33568] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
72 Marques MM, Matos M, Mattila E, Encantado J, Duarte C, Teixeira PJ, Stubbs RJ, Sniehotta FF, Ermes M, Harjumaa M, Leppänen J, Välkkynen P, Silva MN, Ferreira C, Carvalho S, Palmeira L, Horgan G, Heitmann BL, Evans EH, Palmeira AL. A Theory- and Evidence-Based Digital Intervention Tool for Weight Loss Maintenance (NoHoW Toolkit): Systematic Development and Refinement Study. J Med Internet Res 2021;23:e25305. [PMID: 34870602 DOI: 10.2196/25305] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
73 Lauffenburger JC, Yom-Tov E, Keller PA, McDonnell ME, Bessette LG, Fontanet CP, Sears ES, Kim E, Hanken K, Buckley JJ, Barlev RA, Haff N, Choudhry NK. REinforcement learning to improve non-adherence for diabetes treatments by Optimising Response and Customising Engagement (REINFORCE): study protocol of a pragmatic randomised trial. BMJ Open 2021;11:e052091. [PMID: 34862289 DOI: 10.1136/bmjopen-2021-052091] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
74 Perski O. Scientific and ethical challenges to defining what constitutes 'proportionate evidence' for the regulation and accreditation of applications to treat addiction. Addiction 2021;116:3285-7. [PMID: 34231264 DOI: 10.1111/add.15619] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
75 Collins LM, Strayhorn JC, Vanness DJ. One view of the next decade of research on behavioral and biobehavioral approaches to cancer prevention and control: intervention optimization. Transl Behav Med 2021;11:1998-2008. [PMID: 34850927 DOI: 10.1093/tbm/ibab087] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
76 Hojjatinia S, Daly ER, Hnat T, Hossain SM, Kumar S, Lagoa CM, Nahum-Shani I, Samiei SA, Spring B, Conroy DE. Dynamic models of stress-smoking responses based on high-frequency sensor data. NPJ Digit Med 2021;4:162. [PMID: 34815538 DOI: 10.1038/s41746-021-00532-2] [Reference Citation Analysis]
77 Domin A, Uslu A, Schulz A, Ouzzahra Y, Vögele C. A Theory-Informed, Personalized mHealth Intervention for Adolescents (Mobile App for Physical Activity): Development and Pilot Study (Preprint).. [DOI: 10.2196/preprints.35118] [Reference Citation Analysis]
78 Kleiman EM, Bentley KH, Glenn CR, Liu RT, Rizvi SL. Building on the past 50 years, not starting over: A balanced interpretation of meta-analyses, reviews, and commentaries on treatments for suicide and self-injury. Gen Hosp Psychiatry 2021;74:18-21. [PMID: 34800775 DOI: 10.1016/j.genhosppsych.2021.11.002] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
79 Bentley KH, Maimone JS, Kilbury EN, Tate MS, Wisniewski H, Levine MT, Roberg R, Torous JB, Nock MK, Kleiman EM. Practices for monitoring and responding to incoming data on self-injurious thoughts and behaviors in intensive longitudinal studies: A systematic review. Clin Psychol Rev 2021;90:102098. [PMID: 34763126 DOI: 10.1016/j.cpr.2021.102098] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
80 Aguilera A, Hernandez-Ramos R, Haro-Ramos AY, Boone CE, Luo TC, Xu J, Chakraborty B, Karr C, Darrow S, Figueroa CA. A Text Messaging Intervention (StayWell at Home) to Counteract Depression and Anxiety During COVID-19 Social Distancing: Pre-Post Study. JMIR Ment Health 2021;8:e25298. [PMID: 34543230 DOI: 10.2196/25298] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
81 Marcu G, Ondersma SJ, Spiller AN, Broderick BM, Kadri R, Buis LR. The Perceived Benefits of Digital Interventions for Behavioral Health: Qualitative Interview Study (Preprint).. [DOI: 10.2196/preprints.34300] [Reference Citation Analysis]
82 Qian T, Yoo H, Klasnja P, Almirall D, Murphy SA. Estimating time-varying causal excursion effect in mobile health with binary outcomes. Biometrika 2021;108:507-27. [PMID: 34629476 DOI: 10.1093/biomet/asaa070] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 9.0] [Reference Citation Analysis]
83 Tomkins S, Liao P, Klasnja P, Murphy S. IntelligentPooling: Practical Thompson Sampling for mHealth. Mach Learn 2021;110:2685-727. [PMID: 34621105 DOI: 10.1007/s10994-021-05995-8] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
84 Hojjatinia S, Hojjatinia S, Lagoa CM, Brunke-Reese D, Conroy DE. Person-specific dose-finding for a digital messaging intervention to promote physical activity. Health Psychol 2021;40:502-12. [PMID: 34618498 DOI: 10.1037/hea0001117] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
85 Saghafian S, Murphy SA. Innovative Health Care Delivery: The Scientific and Regulatory Challenges in Designing mHealth Interventions. NAM Perspect 2021;2021. [PMID: 34611601 DOI: 10.31478/202108b] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
86 Palacz-poborczyk I, Idziak P, Januszewicz A, Luszczynska A, Quested E, Naughton F, Hagger MS, Pagoto S, Verboon P, Robinson S, Kwasnicka D. Developing the Choosing Health digital weight loss and maintenance intervention using an Intervention Mapping approach (Preprint).. [DOI: 10.2196/preprints.34089] [Reference Citation Analysis]
87 Cucciniello M, Petracca F, Ciani O, Tarricone R. Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials. NPJ Digit Med 2021;4:144. [PMID: 34611287 DOI: 10.1038/s41746-021-00517-1] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 10.0] [Reference Citation Analysis]
88 Palacz-poborczyk I, Idziak P, Januszewicz A, Luszczynska A, Quested E, Naughton F, Hagger MS, Pagoto S, Verboon P, Robinson S, Kwasnicka D. An Intervention Mapping Study: Developing the Choosing Health digital weight loss and maintenance intervention (Preprint). Journal of Medical Internet Research 2021. [DOI: 10.2196/34089] [Reference Citation Analysis]
89 Goldstein SP, Zhang F, Klasnja P, Hoover A, Wing RR, Thomas JG. Optimizing a Just-in-Time Adaptive Intervention to Improve Dietary Adherence in Behavioral Obesity Treatment: Protocol for a Microrandomized Trial (Preprint).. [DOI: 10.2196/preprints.33568] [Reference Citation Analysis]
90 Hekler E, Tiro JA, Hunter CM, Nebeker C. Precision Health: The Role of the Social and Behavioral Sciences in Advancing the Vision. Ann Behav Med 2020;54:805-26. [PMID: 32338719 DOI: 10.1093/abm/kaaa018] [Cited by in Crossref: 50] [Cited by in F6Publishing: 54] [Article Influence: 50.0] [Reference Citation Analysis]
91 Ester M, Eisele M, Wurz A, McDonough MH, McNeely M, Culos-Reed SN. Current Evidence and Directions for Future Research in eHealth Physical Activity Interventions for Adults Affected by Cancer: Systematic Review. JMIR Cancer 2021;7:e28852. [PMID: 34542415 DOI: 10.2196/28852] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
92 Mauriello ML, Tantivasadakarn N, Mora-Mendoza MA, Lincoln ET, Hon G, Nowruzi P, Simon D, Hansen L, Goenawan NH, Kim J, Gowda N, Jurafsky D, Paredes PE. A Suite of Mobile Conversational Agents for Daily Stress Management (Popbots): Mixed Methods Exploratory Study. JMIR Form Res 2021;5:e25294. [PMID: 34519655 DOI: 10.2196/25294] [Reference Citation Analysis]
93 Daryabeygi-Khotbehsara R, Shariful Islam SM, Dunstan D, McVicar J, Abdelrazek M, Maddison R. Smartphone-Based Interventions to Reduce Sedentary Behavior and Promote Physical Activity Using Integrated Dynamic Models: Systematic Review. J Med Internet Res 2021;23:e26315. [PMID: 34515637 DOI: 10.2196/26315] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
94 Coughlin LN, Nahum-Shani I, Bonar EE, Philyaw-Kotov ML, Rabbi M, Klasnja P, Walton MA. Toward a Just-in-Time Adaptive Intervention to Reduce Emerging Adult Alcohol Use: Testing Approaches for Identifying When to Intervene. Subst Use Misuse 2021;56:2115-25. [PMID: 34499570 DOI: 10.1080/10826084.2021.1972314] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
95 Meyerhoff J, Liu T, Kording KP, Ungar LH, Kaiser SM, Karr CJ, Mohr DC. Evaluation of Changes in Depression, Anxiety, and Social Anxiety Using Smartphone Sensor Features: Longitudinal Cohort Study. J Med Internet Res 2021;23:e22844. [PMID: 34477562 DOI: 10.2196/22844] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 15.0] [Reference Citation Analysis]
96 Bernstein EE, Weingarden H, Wolfe EC, Hall MD, Snorrason I, Wilhelm S. Human Support in App-Based Cognitive Behavioral Therapies for Emotional Disorders: Scoping Review (Preprint).. [DOI: 10.2196/preprints.33307] [Reference Citation Analysis]
97 Klasnja P, Rosenberg DE, Zhou J, Anau J, Gupta A, Arterburn DE. A quality-improvement optimization pilot of BariFit, a mobile health intervention to promote physical activity after bariatric surgery. Transl Behav Med 2021;11:530-9. [PMID: 32421187 DOI: 10.1093/tbm/ibaa040] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
98 Sucala M, Ezeanochie NP, Cole-Lewis H, Turgiss J. An iterative, interdisciplinary, collaborative framework for developing and evaluating digital behavior change interventions. Transl Behav Med 2020;10:1538-48. [PMID: 31328775 DOI: 10.1093/tbm/ibz109] [Cited by in Crossref: 11] [Cited by in F6Publishing: 15] [Article Influence: 11.0] [Reference Citation Analysis]
99 Chevance G, Perski O, Hekler EB. Innovative methods for observing and changing complex health behaviors: four propositions. Transl Behav Med 2021;11:676-85. [PMID: 32421196 DOI: 10.1093/tbm/ibaa026] [Cited by in Crossref: 16] [Cited by in F6Publishing: 19] [Article Influence: 16.0] [Reference Citation Analysis]
100 Berger VW, Bour LJ, Carter K, Chipman JJ, Everett CC, Heussen N, Hewitt C, Hilgers RD, Luo YA, Renteria J, Ryeznik Y, Sverdlov O, Uschner D; Randomization Innovative Design Scientific Working Group. A roadmap to using randomization in clinical trials. BMC Med Res Methodol 2021;21:168. [PMID: 34399696 DOI: 10.1186/s12874-021-01303-z] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
101 Kramer JN, Künzler F, Mishra V, Smith SN, Kotz D, Scholz U, Fleisch E, Kowatsch T. Which Components of a Smartphone Walking App Help Users to Reach Personalized Step Goals? Results From an Optimization Trial. Ann Behav Med 2020;54:518-28. [PMID: 32182353 DOI: 10.1093/abm/kaaa002] [Cited by in Crossref: 37] [Cited by in F6Publishing: 38] [Article Influence: 37.0] [Reference Citation Analysis]
102 Lloyd GR, Hoffman SA, Welch WA, Blanch-Hartigan D, Gavin KL, Cottrell A, Cadmus-Bertram L, Spring B, Penedo F, Courneya KS, Phillips SM. Breast cancer survivors' preferences for social support features in technology-supported physical activity interventions: findings from a mixed methods evaluation. Transl Behav Med 2020;10:423-34. [PMID: 30445595 DOI: 10.1093/tbm/iby112] [Cited by in Crossref: 11] [Cited by in F6Publishing: 14] [Article Influence: 11.0] [Reference Citation Analysis]
103 Reichert M, Gan G, Renz M, Braun U, Brüßler S, Timm I, Ma R, Berhe O, Benedyk A, Moldavski A, Schweiger JI, Hennig O, Zidda F, Heim C, Banaschewski T, Tost H, Ebner-Priemer UW, Meyer-Lindenberg A. Ambulatory assessment for precision psychiatry: Foundations, current developments and future avenues. Exp Neurol 2021;345:113807. [PMID: 34228998 DOI: 10.1016/j.expneurol.2021.113807] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
104 Smidt AM, Blake MJ, Latham MD, Allen NB. Effects of Automated Diurnal Variation in Electronic Screen Temperature on Sleep Quality in Young Adults: A Randomized Controlled Trial. Behav Sleep Med 2021;:1-17. [PMID: 34176370 DOI: 10.1080/15402002.2021.1940183] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
105 Chaudhari S, Ghanvatkar S, Kankanhalli A. Personalization of Intervention Timing for Physical Activity: Scoping Review (Preprint).. [DOI: 10.2196/preprints.31327] [Reference Citation Analysis]
106 Gordon EK, Roychowdhury S, Bhattacharjee T, Jamieson K, Srinivasa SS. Leveraging Post Hoc Context for Faster Learning in Bandit Settings with Applications in Robot-Assisted Feeding. 2021 IEEE International Conference on Robotics and Automation (ICRA) 2021. [DOI: 10.1109/icra48506.2021.9561520] [Reference Citation Analysis]
107 Militello L, Sobolev M, Okeke F, Adler DA, Nahum-shani I. Digital Prompts to Increase Engagement With the Headspace App and for Stress Regulation Among Parents: Feasibility Study (Preprint).. [DOI: 10.2196/preprints.30606] [Reference Citation Analysis]
108 Huffman JC, Millstein RA, Celano CM, Healy BC, Park ER, Collins LM. Developing a Psychological-Behavioral Intervention in Cardiac Patients Using the Multiphase Optimization Strategy: Lessons Learned From the Field. Ann Behav Med 2020;54:151-63. [PMID: 31586194 DOI: 10.1093/abm/kaz035] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
109 Mariakakis A, Karkar R, Patel SN, Kientz JA, Fogarty J, Munson SA. Using Health Concept Surveying to Elicit Usable Evidence: Case Studies of a Novel Evaluation Methodology (Preprint).. [DOI: 10.2196/preprints.30474] [Reference Citation Analysis]
110 Compernolle S, Van Dyck D, Cardon G, Brondeel R. Exploring Breaks in Sedentary Behavior of Older Adults Immediately After Receiving Personalized Haptic Feedback: Intervention Study. JMIR Mhealth Uhealth 2021;9:e26387. [PMID: 33970109 DOI: 10.2196/26387] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
111 Aguilera A, Hernandez-ramos R, Haro-ramos AY, Boone CE, Luo TC, Xu J, Chakraborty B, Karr C, Darrow S, Figueroa CA. A Text Messaging Intervention (StayWell at Home) to Counteract Depression and Anxiety During COVID-19 Social Distancing: Pre-Post Study (Preprint).. [DOI: 10.2196/preprints.25298] [Reference Citation Analysis]
112 Figueroa CA, Deliu N, Chakraborty B, Modiri A, Xu J, Aggarwal J, Jay Williams J, Lyles C, Aguilera A. Daily Motivational Text Messages to Promote Physical Activity in University Students: Results From a Microrandomized Trial. Ann Behav Med 2021:kaab028. [PMID: 33871015 DOI: 10.1093/abm/kaab028] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
113 Sverdlov O, Ryeznik Y, Wong WK. Opportunity for efficiency in clinical development: An overview of adaptive clinical trial designs and innovative machine learning tools, with examples from the cardiovascular field. Contemp Clin Trials 2021;105:106397. [PMID: 33845209 DOI: 10.1016/j.cct.2021.106397] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
114 Nebeker C. mHealth Research Applied to Regulated and Unregulated Behavioral Health Sciences. J Law Med Ethics 2020;48:49-59. [PMID: 32342758 DOI: 10.1177/1073110520917029] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 9.0] [Reference Citation Analysis]
115 Ravuri V, Paromita P, Mundnich K, Nadarajan A, Booth BM, Narayanan SS, Chaspari T. Investigating Group-Specific Models of Hospital Workers’ Well-Being: Implications for Algorithmic Bias. Int J Semantic Computing 2020;14:477-99. [DOI: 10.1142/s1793351x20500075] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
116 Montanaro EA, Magnan R. A latent profile analysis using the theory of planned behavior to predict alcohol use. Psychol Health 2021;:1-12. [PMID: 33775196 DOI: 10.1080/08870446.2021.1903462] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
117 Loo Gee B, Batterham PJ, Gulliver A, Reynolds J, Griffiths KM. An Ecological Momentary Intervention for people with social anxiety: A descriptive case study. Inform Health Soc Care 2021;:1-29. [PMID: 33779480 DOI: 10.1080/17538157.2021.1896525] [Reference Citation Analysis]
118 Ester M, Eisele M, Wurz A, Mcdonough MH, Mcneely M, Culos-reed SN. Current Evidence and Directions for Future Research in eHealth Physical Activity Interventions for Adults Affected by Cancer: Systematic Review (Preprint).. [DOI: 10.2196/preprints.28852] [Reference Citation Analysis]
119 Stubbs RJ, Duarte C, O'Driscoll R, Turicchi J, Kwasnicka D, Sniehotta FF, Marques MM, Horgan G, Larsen S, Palmeira A, Santos I, Teixeira PJ, Halford J, Heitmann BL; The EASO Obesity Management Task Force. The H2020 "NoHoW Project": A Position Statement on Behavioural Approaches to Longer-Term Weight Management. Obes Facts 2021;14:246-58. [PMID: 33662958 DOI: 10.1159/000513042] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
120 Pirolli P, Youngblood GM, Du H, Konrad A, Nelson L, Springer A. Scaffolding the Mastery of Healthy Behaviors with Fittle+ Systems: Evidence-Based Interventions and Theory. Human–Computer Interaction 2021;36:73-106. [DOI: 10.1080/07370024.2018.1512414] [Cited by in Crossref: 8] [Article Influence: 8.0] [Reference Citation Analysis]
121 Gensorowsky D, Lampe D, Hasemann L, Düvel J, Greiner W. ["Alternative study designs" for the evaluation of digital health applications - a real alternative?]. Z Evid Fortbild Qual Gesundhwes 2021;161:33-41. [PMID: 33642251 DOI: 10.1016/j.zefq.2021.01.006] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
122 Figueroa CA, Aguilera A, Chakraborty B, Modiri A, Aggarwal J, Deliu N, Sarkar U, Jay Williams J, Lyles CR. Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions. J Am Med Inform Assoc 2021;28:1225-34. [PMID: 33657217 DOI: 10.1093/jamia/ocab001] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
123 Hernandez LM, Wetter DW, Kumar S, Sutton SK, Vinci C. Smoking Cessation Using Wearable Sensors: Protocol for a Microrandomized Trial. JMIR Res Protoc 2021;10:e22877. [PMID: 33625366 DOI: 10.2196/22877] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
124 Baglione AN, Gong J, Boukhechba M, Wells KJ, Barnes LE. Leveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Medication Adherence. IEEE Pervasive Comput 2020;19:24-36. [PMID: 33510585 DOI: 10.1109/MPRV.2020.2993993] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
125 Lord SE, Campbell ANC, Brunette MF, Cubillos L, Bartels SM, Torrey WC, Olson AL, Chapman SH, Batsis JA, Polsky D, Nunes EV, Seavey KM, Marsch LA. Workshop on Implementation Science and Digital Therapeutics for Behavioral Health. JMIR Ment Health 2021;8:e17662. [PMID: 33507151 DOI: 10.2196/17662] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
126 Pogorskiy E. Taming randomized controlled trials in education: exploring key claims, issues and debates: by Keith Morrison, Abingdon, Routledge, 2021, xii + 238 pp., £96.00 (hbk), ISBN 9780367486518 / £19.99 (pbk), ISBN 9780367486525 / £19.99 (ebk), ISBN 9781003042112. Educational Research and Evaluation 2020;26:119-22. [DOI: 10.1080/13803611.2021.1874089] [Reference Citation Analysis]
127 Lord S, Seavey K, Budney A, Marsch L. Digitally Delivered Therapies. The American Psychiatric Association Publishing Textbook of Substance Use Disorder Treatment 2021. [DOI: 10.1176/appi.books.9781615373970.kb29] [Reference Citation Analysis]
128 Conroy DE, West AB, Brunke-Reese D, Thomaz E, Streeper NM. Just-in-time adaptive intervention to promote fluid consumption in patients with kidney stones. Health Psychol 2020;39:1062-9. [PMID: 33252930 DOI: 10.1037/hea0001032] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
129 Figueroa CA, Hernandez-Ramos R, Boone CE, Gómez-Pathak L, Yip V, Luo T, Sierra V, Xu J, Chakraborty B, Darrow S, Aguilera A. A Text Messaging Intervention for Coping With Social Distancing During COVID-19 (StayWell at Home): Protocol for a Randomized Controlled Trial. JMIR Res Protoc 2021;10:e23592. [PMID: 33370721 DOI: 10.2196/23592] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
130 Golbus JR, Dempsey W, Jackson EA, Nallamothu BK, Klasnja P. Microrandomized Trial Design for Evaluating Just-in-Time Adaptive Interventions Through Mobile Health Technologies for Cardiovascular Disease. Circ Cardiovasc Qual Outcomes 2021;14:e006760. [PMID: 33430608 DOI: 10.1161/CIRCOUTCOMES.120.006760] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
131 Lenze EJ, Nicol GE, Barbour DL, Kannampallil T, Wong AWK, Piccirillo J, Drysdale AT, Sylvester CM, Haddad R, Miller JP, Low CA, Lenze SN, Freedland KE, Rodebaugh TL. Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders. J Psychiatry Neurosci 2021;46:E97-E110. [PMID: 33206039 DOI: 10.1503/jpn.200042] [Cited by in Crossref: 11] [Cited by in F6Publishing: 10] [Article Influence: 11.0] [Reference Citation Analysis]
132 Wagle A, Isakadze N, Martin SS. Novel Research Designs. Precision Medicine in Cardiovascular Disease Prevention 2021. [DOI: 10.1007/978-3-030-75055-8_7] [Reference Citation Analysis]
133 Powell LH, Kaufmann PG, Freedland KE. Behavioral Treatment Development. Behavioral Clinical Trials for Chronic Diseases 2021. [DOI: 10.1007/978-3-030-39330-4_3] [Reference Citation Analysis]
134 Mattei A, Mealli F, Nodehi A. Design and Analysis of Experiments. Handbook of Labor, Human Resources and Population Economics 2021. [DOI: 10.1007/978-3-319-57365-6_40-1] [Reference Citation Analysis]
135 Gunter RG, Szeto EH, Suh S, Kim Y, Jeong SH, Waters AJ. Associations between affect, craving, and smoking in Korean smokers: An ecological momentary assessment study. Addict Behav Rep 2020;12:100301. [PMID: 33364310 DOI: 10.1016/j.abrep.2020.100301] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
136 Morris AS, Mackintosh KA, Dunstan D, Owen N, Dempsey P, Pennington T, McNarry MA. Rise and Recharge: Effects on Activity Outcomes of an e-Health Smartphone Intervention to Reduce Office Workers' Sitting Time. Int J Environ Res Public Health 2020;17:E9300. [PMID: 33322678 DOI: 10.3390/ijerph17249300] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
137 Daryabeygi-khotbehsara R, Shariful Islam SM, Dunstan D, Mcvicar J, Abdelrazek M, Maddison R. Smartphone-Based Interventions to Reduce Sedentary Behavior and Promote Physical Activity Using Integrated Dynamic Models: Systematic Review (Preprint).. [DOI: 10.2196/preprints.26315] [Reference Citation Analysis]
138 Sperger J, Freeman NLB, Jiang X, Bang D, Marchi D, Kosorok MR. The future of precision health is data‐driven decision support. Stat Anal Data Min: The ASA Data Sci Journal 2020;13:537-543. [DOI: 10.1002/sam.11475] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
139 Conroy DE, Lagoa CM, Hekler E, Rivera DE. Engineering Person-Specific Behavioral Interventions to Promote Physical Activity. Exerc Sport Sci Rev 2020;48:170-9. [PMID: 32658043 DOI: 10.1249/JES.0000000000000232] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 4.5] [Reference Citation Analysis]
140 Goldberg SB, Imhoff-Smith T, Bolt DM, Wilson-Mendenhall CD, Dahl CJ, Davidson RJ, Rosenkranz MA. Testing the Efficacy of a Multicomponent, Self-Guided, Smartphone-Based Meditation App: Three-Armed Randomized Controlled Trial. JMIR Ment Health 2020;7:e23825. [PMID: 33245288 DOI: 10.2196/23825] [Cited by in Crossref: 19] [Cited by in F6Publishing: 21] [Article Influence: 9.5] [Reference Citation Analysis]
141 Wakschlag LS, Tandon D, Krogh-Jespersen S, Petitclerc A, Nielsen A, Ghaffari R, Mithal L, Bass M, Ward E, Berken J, Fareedi E, Cummings P, Mestan K, Norton ES, Grobman W, Rogers J, Moskowitz J, Alshurafa N. Moving the dial on prenatal stress mechanisms of neurodevelopmental vulnerability to mental health problems: A personalized prevention proof of concept. Dev Psychobiol 2021;63:622-40. [PMID: 33225463 DOI: 10.1002/dev.22057] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]
142 Lau N, Waldbaum S, Parigoris R, O'Daffer A, Walsh C, Colt SF, Yi-Frazier JP, Palermo TM, McCauley E, Rosenberg AR. eHealth and mHealth Psychosocial Interventions for Youths With Chronic Illnesses: Systematic Review. JMIR Pediatr Parent 2020;3:e22329. [PMID: 33075743 DOI: 10.2196/22329] [Cited by in Crossref: 17] [Cited by in F6Publishing: 17] [Article Influence: 8.5] [Reference Citation Analysis]
143 Michel T, Tachtler F, Slovak P, Fitzpatrick G. Young People's Attitude Toward Positive Psychology Interventions: Thematic Analysis. JMIR Hum Factors 2020;7:e21145. [PMID: 33164908 DOI: 10.2196/21145] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
144 Shiffman S, Ferguson SG, Mao J, Scholl SM, Hedeker D, Tindle HA. Effectiveness of nicotine gum in preventing lapses in the face of temptation to smoke among non-daily smokers: a secondary analysis. Addiction 2020;115:2123-9. [PMID: 32285979 DOI: 10.1111/add.15083] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
145 Mauriello ML, Tantivasadakarn N, Mora-mendoza MA, Lincoln ET, Hon G, Nowruzi P, Simon D, Hansen L, Goenawan NH, Kim J, Gowda N, Jurafsky D, Paredes PE. A Suite of Mobile Conversational Agents for Daily Stress Management (Popbots): Mixed Methods Exploratory Study (Preprint).. [DOI: 10.2196/preprints.25294] [Reference Citation Analysis]
146 Marques MM, Matos M, Mattila E, Encantado J, Duarte C, Teixeira PJ, Stubbs RJ, Sniehotta FF, Ermes M, Harjumaa M, Leppänen J, Välkkynen P, Silva MN, Ferreira C, Carvalho S, Palmeira L, Horgan G, Heitmann BL, Evans EH, Palmeira AL. A Theory- and Evidence-Based Digital Intervention Tool for Weight Loss Maintenance (NoHoW Toolkit): Systematic Development and Refinement Study (Preprint).. [DOI: 10.2196/preprints.25305] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
147 Gordon EK, Meng X, Bhattacharjee T, Barnes M, Srinivasa SS. Adaptive Robot-Assisted Feeding: An Online Learning Framework for Acquiring Previously Unseen Food Items. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020. [DOI: 10.1109/iros45743.2020.9341359] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
148 Bai S, Babeva KN, Kim MI, Asarnow JR. Future Directions for Optimizing Clinical Science & Safety: Ecological Momentary Assessments in Suicide/Self-Harm Research. J Clin Child Adolesc Psychol 2021;50:141-53. [PMID: 33047987 DOI: 10.1080/15374416.2020.1815208] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
149 Liao P, Klasnja P, Murphy S. Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health. J Am Stat Assoc 2021;116:382-91. [PMID: 33814653 DOI: 10.1080/01621459.2020.1807993] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
150 Personality and Individual Differences. Smartphones within Psychological Science 2020. [DOI: 10.1017/9781108671408.006] [Reference Citation Analysis]
151 Preface. Smartphones within Psychological Science 2020. [DOI: 10.1017/9781108671408.001] [Reference Citation Analysis]
152 Social Interaction and Interpersonal Relationships. Smartphones within Psychological Science 2020. [DOI: 10.1017/9781108671408.005] [Reference Citation Analysis]
153 Index. Smartphones within Psychological Science 2020. [DOI: 10.1017/9781108671408.010] [Reference Citation Analysis]
154 Safety and Security. Smartphones within Psychological Science 2020. [DOI: 10.1017/9781108671408.008] [Reference Citation Analysis]
155 Ellis DA. Smartphones within Psychological Science. 2020. [DOI: 10.1017/9781108671408] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
156 Health and Behaviour Change. Smartphones within Psychological Science 2020. [DOI: 10.1017/9781108671408.004] [Reference Citation Analysis]
157 Smartphone Usage. Smartphones within Psychological Science 2020. [DOI: 10.1017/9781108671408.003] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
158 Introduction. Smartphones within Psychological Science 2020. [DOI: 10.1017/9781108671408.002] [Reference Citation Analysis]
159 Conclusion. Smartphones within Psychological Science 2020. [DOI: 10.1017/9781108671408.009] [Reference Citation Analysis]
160 Cognition. Smartphones within Psychological Science 2020. [DOI: 10.1017/9781108671408.007] [Reference Citation Analysis]
161 Kroska EB, Hoel S, Victory A, Murphy SA, McInnis MG, Stowe ZN, Cochran A. Optimizing an Acceptance and Commitment Therapy Microintervention Via a Mobile App With Two Cohorts: Protocol for Micro-Randomized Trials. JMIR Res Protoc 2020;9:e17086. [PMID: 32965227 DOI: 10.2196/17086] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
162 Goldberg SB, Imhoff-smith T, Bolt DM, Wilson-mendenhall CD, Dahl CJ, Davidson RJ, Rosenkranz MA. Testing the Efficacy of a Multicomponent, Self-Guided, Smartphone-Based Meditation App: Three-Armed Randomized Controlled Trial (Preprint).. [DOI: 10.2196/preprints.23825] [Reference Citation Analysis]
163 Doherty K, Balaskas A, Doherty G. The Design of Ecological Momentary Assessment Technologies. Interacting with Computers 2020;32:257-78. [DOI: 10.1093/iwcomp/iwaa019] [Cited by in Crossref: 26] [Cited by in F6Publishing: 27] [Article Influence: 13.0] [Reference Citation Analysis]
164 Guo C, Ashrafian H, Ghafur S, Fontana G, Gardner C, Prime M. Challenges for the evaluation of digital health solutions-A call for innovative evidence generation approaches. NPJ Digit Med 2020;3:110. [PMID: 32904379 DOI: 10.1038/s41746-020-00314-2] [Cited by in Crossref: 67] [Cited by in F6Publishing: 69] [Article Influence: 33.5] [Reference Citation Analysis]
165 Figueroa CA, Hernandez-ramos R, Boone CE, Gómez-pathak L, Yip V, Luo T, Sierra V, Xu J, Chakraborty B, Darrow S, Aguilera A. A Text Messaging Intervention for Coping With Social Distancing During COVID-19 (StayWell at Home): Protocol for a Randomized Controlled Trial (Preprint).. [DOI: 10.2196/preprints.23592] [Reference Citation Analysis]
166 Eaton C, Comer M, Pruette C, Psoter K, Riekert K. Text Messaging Adherence Intervention for Adolescents and Young Adults with Chronic Kidney Disease: Pilot Randomized Controlled Trial and Stakeholder Interviews. J Med Internet Res 2020;22:e19861. [PMID: 32795983 DOI: 10.2196/19861] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
167 Bonten TN, Rauwerdink A, Wyatt JC, Kasteleyn MJ, Witkamp L, Riper H, van Gemert-Pijnen LJ, Cresswell K, Sheikh A, Schijven MP, Chavannes NH; EHealth Evaluation Research Group. Online Guide for Electronic Health Evaluation Approaches: Systematic Scoping Review and Concept Mapping Study. J Med Internet Res 2020;22:e17774. [PMID: 32784173 DOI: 10.2196/17774] [Cited by in Crossref: 11] [Cited by in F6Publishing: 13] [Article Influence: 5.5] [Reference Citation Analysis]
168 Bell L, Garnett C, Qian T, Perski O, Williamson E, Potts HW. Engagement With a Behavior Change App for Alcohol Reduction: Data Visualization for Longitudinal Observational Study (Preprint).. [DOI: 10.2196/preprints.23369] [Reference Citation Analysis]
169 Bell L, Garnett C, Qian T, Perski O, Potts HWW, Williamson E. Notifications to Improve Engagement With an Alcohol Reduction App: Protocol for a Micro-Randomized Trial. JMIR Res Protoc 2020;9:e18690. [PMID: 32763878 DOI: 10.2196/18690] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 3.5] [Reference Citation Analysis]
170 Mousavi A, Schmidt M, Squires V, Wilson K. Assessing the Effectiveness of Student Advice Recommender Agent (SARA): the Case of Automated Personalized Feedback. Int J Artif Intell Educ 2021;31:603-21. [DOI: 10.1007/s40593-020-00210-6] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
171 Walch O. Putting it all together: Connecting mobile technology to systems biology. Current Opinion in Systems Biology 2020;22:16-21. [DOI: 10.1016/j.coisb.2020.07.012] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
172 Inan OT, Tenaerts P, Prindiville SA, Reynolds HR, Dizon DS, Cooper-Arnold K, Turakhia M, Pletcher MJ, Preston KL, Krumholz HM, Marlin BM, Mandl KD, Klasnja P, Spring B, Iturriaga E, Campo R, Desvigne-Nickens P, Rosenberg Y, Steinhubl SR, Califf RM. Digitizing clinical trials. NPJ Digit Med 2020;3:101. [PMID: 32821856 DOI: 10.1038/s41746-020-0302-y] [Cited by in Crossref: 95] [Cited by in F6Publishing: 102] [Article Influence: 47.5] [Reference Citation Analysis]
173 Hernandez LM, Wetter DW, Kumar S, Sutton SK, Vinci C. Smoking Cessation Using Wearable Sensors: Protocol for a Microrandomized Trial (Preprint).. [DOI: 10.2196/preprints.22877] [Reference Citation Analysis]
174 Meyerhoff J, Liu T, Kording KP, Ungar LH, Kaiser SM, Karr CJ, Mohr DC. Evaluation of Changes in Depression, Anxiety, and Social Anxiety Using Smartphone Sensor Features: Longitudinal Cohort Study (Preprint).. [DOI: 10.2196/preprints.22844] [Reference Citation Analysis]
175 Maher CA, Davis CR, Curtis RG, Short CE, Murphy KJ. A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study. JMIR Mhealth Uhealth 2020;8:e17558. [PMID: 32673246 DOI: 10.2196/17558] [Cited by in Crossref: 20] [Cited by in F6Publishing: 20] [Article Influence: 10.0] [Reference Citation Analysis]
176 Lau N, Waldbaum S, Parigoris R, O'daffer A, Walsh C, Colt SF, Yi-frazier JP, Palermo TM, Mccauley E, Rosenberg AR. eHealth and mHealth Psychosocial Interventions for Youths With Chronic Illnesses: Systematic Review (Preprint).. [DOI: 10.2196/preprints.22329] [Reference Citation Analysis]
177 Klasnja P, Smith S, Seewald NJ, Lee A, Hall K, Luers B, Hekler EB, Murphy SA. Efficacy of Contextually Tailored Suggestions for Physical Activity: A Micro-randomized Optimization Trial of HeartSteps. Ann Behav Med 2019;53:573-82. [PMID: 30192907 DOI: 10.1093/abm/kay067] [Cited by in Crossref: 78] [Cited by in F6Publishing: 83] [Article Influence: 39.0] [Reference Citation Analysis]
178 Dempsey W, Liao P, Kumar S, Murphy SA. THE STRATIFIED MICRO-RANDOMIZED TRIAL DESIGN: SAMPLE SIZE CONSIDERATIONS FOR TESTING NESTED CAUSAL EFFECTS OF TIME-VARYING TREATMENTS. Ann Appl Stat 2020;14:661-84. [PMID: 33868539 DOI: 10.1214/19-aoas1293] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 6.5] [Reference Citation Analysis]
179 Carpenter SM, Menictas M, Nahum-Shani I, Wetter DW, Murphy SA. Developments in Mobile Health Just-in-Time Adaptive Interventions for Addiction Science. Curr Addict Rep 2020;7:280-90. [PMID: 33747711 DOI: 10.1007/s40429-020-00322-y] [Cited by in Crossref: 19] [Cited by in F6Publishing: 20] [Article Influence: 9.5] [Reference Citation Analysis]
180 Liverpool S, Mota CP, Sales CMD, Čuš A, Carletto S, Hancheva C, Sousa S, Cerón SC, Moreno-Peral P, Pietrabissa G, Moltrecht B, Ulberg R, Ferreira N, Edbrooke-Childs J. Engaging Children and Young People in Digital Mental Health Interventions: Systematic Review of Modes of Delivery, Facilitators, and Barriers. J Med Internet Res 2020;22:e16317. [PMID: 32442160 DOI: 10.2196/16317] [Cited by in Crossref: 80] [Cited by in F6Publishing: 86] [Article Influence: 40.0] [Reference Citation Analysis]
181 Reichert M, Giurgiu M, Koch E, Wieland LM, Lautenbach S, Neubauer AB, von Haaren-Mack B, Schilling R, Timm I, Notthoff N, Marzi I, Hill H, Brüβler S, Eckert T, Fiedler J, Burchartz A, Anedda B, Wunsch K, Gerber M, Jekauc D, Woll A, Dunton GF, Kanning M, Nigg CR, Ebner-Priemer U, Liao Y. Ambulatory Assessment for Physical Activity Research: State of the Science, Best Practices and Future Directions. Psychol Sport Exerc 2020;50:101742. [PMID: 32831643 DOI: 10.1016/j.psychsport.2020.101742] [Cited by in Crossref: 27] [Cited by in F6Publishing: 26] [Article Influence: 13.5] [Reference Citation Analysis]
182 Pasipanodya EC, Kohli M, Fisher CB, Moore DJ, Curtis B. Perceived risks and amelioration of harm in research using mobile technology to support antiretroviral therapy adherence in the context of methamphetamine use: a focus group study among minorities living with HIV. Harm Reduct J 2020;17:41. [PMID: 32527276 DOI: 10.1186/s12954-020-00384-1] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 3.5] [Reference Citation Analysis]
183 Michel T, Tachtler F, Slovak P, Fitzpatrick G. Young People’s Attitude Toward Positive Psychology Interventions: Thematic Analysis (Preprint).. [DOI: 10.2196/preprints.21145] [Reference Citation Analysis]
184 Li S, Psihogios AM, Mckelvey ER, Ahmed A, Rabbi M, Murphy S. Microrandomized trials for promoting engagement in mobile health data collection: Adolescent/young adult oral chemotherapy adherence as an example. Current Opinion in Systems Biology 2020;21:1-8. [DOI: 10.1016/j.coisb.2020.07.002] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
185 Eaton C, Comer M, Pruette C, Psoter K, Riekert K. Text Messaging Adherence Intervention for Adolescents and Young Adults with Chronic Kidney Disease: Pilot Randomized Controlled Trial and Stakeholder Interviews (Preprint).. [DOI: 10.2196/preprints.19861] [Reference Citation Analysis]
186 Radhakrishnan K, Kim MT, Burgermaster M, Brown RA, Xie B, Bray MS, Fournier CA. The potential of digital phenotyping to advance the contributions of mobile health to self-management science. Nurs Outlook 2020;68:548-59. [PMID: 32402392 DOI: 10.1016/j.outlook.2020.03.007] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 3.5] [Reference Citation Analysis]
187 Pfammatter AF, Marchese SH, Pellegrini C, Daly E, Davidson M, Spring B. Using the Preparation Phase of the Multiphase Optimization Strategy to Develop a Messaging Component for Weight Loss: Formative and Pilot Research. JMIR Form Res 2020;4:e16297. [PMID: 32347804 DOI: 10.2196/16297] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
188 Goldberg SB, Hanley AW, Baldwin SA, Bernstein A, Garland EL. Does mindfulness practice promote psychological functioning or is it the other way around? A daily diary study. Psychotherapy (Chic) 2020;57:310-22. [PMID: 32352811 DOI: 10.1037/pst0000286] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
189 Shatte ABR, Teague SJ. schema: an open-source, distributed mobile platform for deploying mHealth research tools and interventions. BMC Med Res Methodol 2020;20:91. [PMID: 32334522 DOI: 10.1186/s12874-020-00973-5] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
190 Zulueta J, Leow AD, Ajilore O. Real-Time Monitoring: A Key Element in Personalized Health and Precision Health. Focus (Am Psychiatr Publ) 2020;18:175-80. [PMID: 33162855 DOI: 10.1176/appi.focus.20190042] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
191 Hurmuz MZM, Jansen-Kosterink SM, Op den Akker H, Hermens HJ. User Experience and Potential Health Effects of a Conversational Agent-Based Electronic Health Intervention: Protocol for an Observational Cohort Study. JMIR Res Protoc 2020;9:e16641. [PMID: 32242517 DOI: 10.2196/16641] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
192 Intensive Longitudinal Designs. The Cambridge Handbook of Research Methods in Clinical Psychology 2020. [DOI: 10.1017/9781316995808.028] [Reference Citation Analysis]
193 Ferguson SG, Jahnel T, Elliston K, Shiffman S. Ambulatory Assessment. The Cambridge Handbook of Research Methods in Clinical Psychology 2020. [DOI: 10.1017/9781316995808.029] [Reference Citation Analysis]
194 Direito A, Tooley M, Hinbarji M, Albatal R, Jiang Y, Whittaker R, Maddison R. Tailored Daily Activity: An Adaptive Physical Activity Smartphone Intervention. Telemedicine and e-Health 2020;26:426-37. [DOI: 10.1089/tmj.2019.0034] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]
195 NeCamp T, Sen S, Frank E, Walton MA, Ionides EL, Fang Y, Tewari A, Wu Z. Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns: Micro-Randomized Trial. J Med Internet Res 2020;22:e15033. [PMID: 32229469 DOI: 10.2196/15033] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 9.0] [Reference Citation Analysis]
196 Liao P, Greenewald K, Klasnja P, Murphy S. Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity. Proc ACM Interact Mob Wearable Ubiquitous Technol 2020;4:18. [PMID: 34527853 DOI: 10.1145/3381007] [Cited by in Crossref: 24] [Cited by in F6Publishing: 14] [Article Influence: 12.0] [Reference Citation Analysis]
197 Bell L, Garnett C, Qian T, Perski O, Potts HWW, Williamson E. Notifications to Improve Engagement With an Alcohol Reduction App: Protocol for a Micro-Randomized Trial (Preprint).. [DOI: 10.2196/preprints.18690] [Reference Citation Analysis]
198 Epstein DH, Tyburski M, Kowalczyk WJ, Burgess-Hull AJ, Phillips KA, Curtis BL, Preston KL. Prediction of stress and drug craving ninety minutes in the future with passively collected GPS data. NPJ Digit Med 2020;3:26. [PMID: 32195362 DOI: 10.1038/s41746-020-0234-6] [Cited by in Crossref: 21] [Cited by in F6Publishing: 23] [Article Influence: 10.5] [Reference Citation Analysis]
199 Salwen-deremer JK, Khan AS, Martin SS, Holloway BM, Coughlin JW. Incorporating Health Behavior Theory into mHealth: an Examination of Weight Loss, Dietary, and Physical Activity Interventions. J technol behav sci 2020;5:51-60. [DOI: 10.1007/s41347-019-00118-6] [Cited by in Crossref: 7] [Article Influence: 3.5] [Reference Citation Analysis]
200 Luers B, Klasnja P, Murphy S. Standardized Effect Sizes for Preventive Mobile Health Interventions in Micro-randomized Trials. Prev Sci 2019;20:100-9. [PMID: 29318443 DOI: 10.1007/s11121-017-0862-5] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 5.5] [Reference Citation Analysis]
201 Dugas M, Gao GG, Agarwal R. Unpacking mHealth interventions: A systematic review of behavior change techniques used in randomized controlled trials assessing mHealth effectiveness. Digit Health 2020;6:2055207620905411. [PMID: 32128233 DOI: 10.1177/2055207620905411] [Cited by in Crossref: 39] [Cited by in F6Publishing: 43] [Article Influence: 19.5] [Reference Citation Analysis]
202 Miller AL, Lo SL, Bauer KW, Fredericks EM. Developmentally informed behaviour change techniques to enhance self-regulation in a health promotion context: a conceptual review. Health Psychol Rev 2020;14:116-31. [PMID: 31957556 DOI: 10.1080/17437199.2020.1718530] [Cited by in Crossref: 14] [Cited by in F6Publishing: 12] [Article Influence: 7.0] [Reference Citation Analysis]
203 Dick S, O'Connor Y, Thompson MJ, O'Donoghue J, Hardy V, Wu TJ, O'Sullivan T, Chirambo GB, Heavin C. Considerations for Improved Mobile Health Evaluation: Retrospective Qualitative Investigation. JMIR Mhealth Uhealth 2020;8:e12424. [PMID: 32012085 DOI: 10.2196/12424] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 5.0] [Reference Citation Analysis]
204 Bonten TN, Rauwerdink A, Wyatt JC, Kasteleyn MJ, Witkamp L, Riper H, van Gemert-pijnen LJ, Cresswell K, Sheikh A, Schijven MP, Chavannes NH, EHealth Evaluation Research Group. Online Guide for Electronic Health Evaluation Approaches: Systematic Scoping Review and Concept Mapping Study (Preprint).. [DOI: 10.2196/preprints.17774] [Reference Citation Analysis]
205 Cottrell DJ, Wright-Hughes A, Eisler I, Fortune S, Green J, House AO, Kerfoot M, Owens DW, Simic M, McLellan V, Tubeuf S, Farrin AJ. Longer-term effectiveness of systemic family therapy compared with treatment as usual for young people after self-harm: An extended follow up of pragmatic randomised controlled trial. EClinicalMedicine 2020;18:100246. [PMID: 31956857 DOI: 10.1016/j.eclinm.2019.100246] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
206 El‐toukhy S, Nahum‐shani I. The JITAI Code: A Primer on Just‐In‐Time‐Adaptive Interventions. Wiley StatsRef: Statistics Reference Online 2020. [DOI: 10.1002/9781118445112.stat08192] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
207 Poznanski B, Silva K, Conroy K, Georgiadis C, Comer JS. Expanding the Reach of Evidence-Based Psychotherapy Through Remote Technologies. Issues in Clinical Child Psychology 2020. [DOI: 10.1007/978-3-030-44226-2_25] [Reference Citation Analysis]
208 Pirolli P. Challenges for a Computational Cognitive Psychology for the New Digital Ecosystem. Human–Computer Interaction Series 2020. [DOI: 10.1007/978-3-030-38825-6_2] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
209 Goldstein CM, Kugler KC. Multiphase Optimization Strategy (MOST). Encyclopedia of Behavioral Medicine 2020. [DOI: 10.1007/978-3-030-39903-0_101966] [Reference Citation Analysis]
210 Spring B, Fidler Pfammatter A, Hoffman SA, Warnick JL. Translational Behavioral Medicine. Encyclopedia of Behavioral Medicine 2020. [DOI: 10.1007/978-3-030-39903-0_221] [Reference Citation Analysis]
211 Bakken S, Koleck TA, Dreisbach C, Hickey KT. Enabling Precision Health Approaches for Symptom Science Through Big Data and Data Science. Genomics of Pain and Co-Morbid Symptoms 2020. [DOI: 10.1007/978-3-030-21657-3_17] [Reference Citation Analysis]
212 Lord SE, Campbell ANC, Brunette MF, Cubillos L, Bartels SM, Torrey WC, Olson AL, Chapman SH, Batsis JA, Polsky D, Nunes EV, Seavey KM, Marsch LA. Workshop on Implementation Science and Digital Therapeutics for Behavioral Health (Preprint).. [DOI: 10.2196/preprints.17662] [Reference Citation Analysis]
213 Hsueh PS, Hu X, Cheung YK, Wolff D, Marschollek M, Rogers J. Smart Learning Using Big and Small Data for Mobile and IOT e-Health. Intelligent Internet of Things 2020. [DOI: 10.1007/978-3-030-30367-9_13] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
214 Gonul S, Namli T, Huisman S, Laleci Erturkmen GB, Toroslu IH, Cosar A. An expandable approach for design and personalization of digital, just-in-time adaptive interventions. J Am Med Inform Assoc 2019;26:198-210. [PMID: 30590757 DOI: 10.1093/jamia/ocy160] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 5.0] [Reference Citation Analysis]
215 Maher CA, Davis CR, Curtis RG, Short CE, Murphy KJ. A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study (Preprint).. [DOI: 10.2196/preprints.17558] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
216 John D, Tang Q, Albinali F, Intille S. An Open-Source Monitor-Independent Movement Summary for Accelerometer Data Processing. J Meas Phys Behav 2019;2:268-81. [PMID: 34308270 DOI: 10.1123/jmpb.2018-0068] [Cited by in Crossref: 37] [Cited by in F6Publishing: 39] [Article Influence: 12.3] [Reference Citation Analysis]
217 Kroska EB, Hoel S, Victory A, Murphy SA, Mcinnis MG, Stowe ZN, Cochran A. Optimizing an Acceptance and Commitment Therapy Microintervention Via a Mobile App With Two Cohorts: Protocol for Micro-Randomized Trials (Preprint).. [DOI: 10.2196/preprints.17086] [Reference Citation Analysis]
218 Kowatsch T, Otto L, Harperink S, Cotti A, Schlieter H. A design and evaluation framework for digital health interventions. it - Information Technology 2019;61:253-63. [DOI: 10.1515/itit-2019-0019] [Cited by in Crossref: 34] [Cited by in F6Publishing: 36] [Article Influence: 11.3] [Reference Citation Analysis]
219 Kasari C, Sturm A, Shih W. SMARTer Approach to Personalizing Intervention for Children With Autism Spectrum Disorder. J Speech Lang Hear Res 2018;61:2629-40. [PMID: 30418492 DOI: 10.1044/2018_JSLHR-L-RSAUT-18-0029] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 4.7] [Reference Citation Analysis]
220 Priebe JA, Toelle TR. Is there a right control condition in mHealth trials? A critical view on pain medicine. NPJ Digit Med 2019;2:107. [PMID: 31701021 DOI: 10.1038/s41746-019-0184-z] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 2.3] [Reference Citation Analysis]
221 Bradway M, Gabarron E, Johansen M, Zanaboni P, Jardim P, Joakimsen R, Pape-haugaard L, Årsand E. Methods and Measures Used to Evaluate Patient-Operated Mobile Health Interventions: Scoping Literature Review (Preprint).. [DOI: 10.2196/preprints.16814] [Reference Citation Analysis]
222 Hiremath SV, Amiri AM, Thapa-Chhetry B, Snethen G, Schmidt-Read M, Ramos-Lamboy M, Coffman DL, Intille SS. Mobile health-based physical activity intervention for individuals with spinal cord injury in the community: A pilot study. PLoS One 2019;14:e0223762. [PMID: 31613909 DOI: 10.1371/journal.pone.0223762] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 3.0] [Reference Citation Analysis]
223 Liverpool S, Mota CP, Sales CMD, Čuš A, Carletto S, Hancheva C, Sousa S, Cerón SC, Moreno-peral P, Pietrabissa G, Moltrecht B, Ulberg R, Ferreira N, Edbrooke-childs J. Engaging Children and Young People in Digital Mental Health Interventions: Systematic Review of Modes of Delivery, Facilitators, and Barriers (Preprint).. [DOI: 10.2196/preprints.16317] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
224 [DOI: 10.1145/3300061.3345433] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]
225 Forman EM, Goldstein SP, Crochiere RJ, Butryn ML, Juarascio AS, Zhang F, Foster GD. Randomized controlled trial of OnTrack, a just-in-time adaptive intervention designed to enhance weight loss. Translational Behavioral Medicine 2019;9:989-1001. [DOI: 10.1093/tbm/ibz137] [Cited by in Crossref: 25] [Cited by in F6Publishing: 25] [Article Influence: 8.3] [Reference Citation Analysis]
226 Boutelle KN, Kang Sim DE, Manzano M, Rhee KE, Crow SJ, Strong DR. Role of appetitive phenotype trajectory groups on child body weight during a family-based treatment for children with overweight or obesity. Int J Obes (Lond) 2019;43:2302-8. [PMID: 31591483 DOI: 10.1038/s41366-019-0463-4] [Cited by in Crossref: 12] [Cited by in F6Publishing: 13] [Article Influence: 4.0] [Reference Citation Analysis]
227 Pfammatter AF, Marchese SH, Pellegrini C, Daly E, Davidson M, Spring B. Using the Preparation Phase of the Multiphase Optimization Strategy to Develop a Messaging Component for Weight Loss: Formative and Pilot Research (Preprint).. [DOI: 10.2196/preprints.16297] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
228 Linardon J, Cuijpers P, Carlbring P, Messer M, Fuller-Tyszkiewicz M. The efficacy of app-supported smartphone interventions for mental health problems: a meta-analysis of randomized controlled trials. World Psychiatry. 2019;18:325-336. [PMID: 31496095 DOI: 10.1002/wps.20673] [Cited by in Crossref: 261] [Cited by in F6Publishing: 271] [Article Influence: 87.0] [Reference Citation Analysis]
229 Chernick LS, Berrigan M, Gonzalez A, Konja A, Stockwell MS, Ehrhardt A, Bakken S, Westhoff CL, Santelli J, Dayan PS. Engaging Adolescents With Sexual Health Messaging: A Qualitative Analysis. J Adolesc Health 2019;65:660-6. [PMID: 31495641 DOI: 10.1016/j.jadohealth.2019.05.029] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
230 Yin AL, Hachuel D, Pollak JP, Scherl EJ, Estrin D. Digital Health Apps in the Clinical Care of Inflammatory Bowel Disease: Scoping Review. J Med Internet Res. 2019;21:e14630. [PMID: 31429410 DOI: 10.2196/14630] [Cited by in Crossref: 40] [Cited by in F6Publishing: 43] [Article Influence: 13.3] [Reference Citation Analysis]
231 Kim J, Marcusson-Clavertz D, Yoshiuchi K, Smyth JM. Potential benefits of integrating ecological momentary assessment data into mHealth care systems. Biopsychosoc Med 2019;13:19. [PMID: 31413726 DOI: 10.1186/s13030-019-0160-5] [Cited by in Crossref: 16] [Cited by in F6Publishing: 17] [Article Influence: 5.3] [Reference Citation Analysis]
232 Nielsen AM, Welch WA, Gavin KL, Cottrell AM, Solk P, Torre EA, Blanch-Hartigan D, Phillips SM. Preferences for mHealth physical activity interventions during chemotherapy for breast cancer: a qualitative evaluation. Support Care Cancer 2020;28:1919-28. [PMID: 31367917 DOI: 10.1007/s00520-019-05002-w] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 3.3] [Reference Citation Analysis]
233 Perrin C, Randriambelonoro M, Geissbuhler A. Navigating through digital health outcome evaluation methodologies: an algorithm based on a scoping review and emerging methodologies. (Preprint).. [DOI: 10.2196/preprints.15611] [Reference Citation Analysis]
234 Smith KE, Mason TB, Juarascio A, Schaefer LM, Crosby RD, Engel SG, Wonderlich SA. Moving beyond self-report data collection in the natural environment: A review of the past and future directions for ambulatory assessment in eating disorders. Int J Eat Disord 2019;52:1157-75. [PMID: 31313348 DOI: 10.1002/eat.23124] [Cited by in Crossref: 10] [Cited by in F6Publishing: 13] [Article Influence: 3.3] [Reference Citation Analysis]
235 Zeegers MAJ, Colonnesi C, Noom MJ, Polderman N, Stams GJM. Remediating Child Attachment Insecurity: Evaluating the Basic Trust Intervention in Adoptive Families. Research on Social Work Practice 2020;30:736-49. [DOI: 10.1177/1049731519863106] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
236 Blake MJ, Latham MD, Blake LM, Allen NB. Adolescent-Sleep-Intervention Research: Current State and Future Directions. Curr Dir Psychol Sci 2019;28:475-82. [DOI: 10.1177/0963721419850169] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 3.3] [Reference Citation Analysis]
237 Schmiedek F, Neubauer AB. Experiments in the Wild: Introducing the Within-Person Encouragement Design. Multivariate Behavioral Research 2020;55:256-76. [DOI: 10.1080/00273171.2019.1627660] [Cited by in Crossref: 18] [Cited by in F6Publishing: 17] [Article Influence: 6.0] [Reference Citation Analysis]
238 Murray LK, Haroz E, Dorsey S, Kane J, Bolton PA, Pullmann MD. Understanding mechanisms of change: An unpacking study of the evidence-based common-elements treatment approach (CETA) in low and middle income countries. Behav Res Ther 2020;130:103430. [PMID: 31780251 DOI: 10.1016/j.brat.2019.103430] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 4.0] [Reference Citation Analysis]
239 Fuller-tyszkiewicz M, Richardson B, Lewis V, Linardon J, Mills J, Juknaitis K, Lewis C, Coulson K, O'donnell R, Arulkadacham L, Ware A, Krug I. A randomized trial exploring mindfulness and gratitude exercises as eHealth-based micro-interventions for improving body satisfaction. Computers in Human Behavior 2019;95:58-65. [DOI: 10.1016/j.chb.2019.01.028] [Cited by in Crossref: 28] [Cited by in F6Publishing: 29] [Article Influence: 9.3] [Reference Citation Analysis]
240 Wilson ED, Helal S, Bull CN, Honary M. Persuasive Health. Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare 2019. [DOI: 10.1145/3329189.3329245] [Reference Citation Analysis]
241 Yin AL, Hachuel D, Pollak JP, Scherl EJ, Estrin D. Digital Health Apps in the Clinical Care of Inflammatory Bowel Disease: Scoping Review (Preprint).. [DOI: 10.2196/preprints.14630] [Reference Citation Analysis]
242 Wongvibulsin S, Martin SS, Saria S, Zeger SL, Murphy SA. An Individualized, Data-Driven Digital Approach for Precision Behavior Change. Am J Lifestyle Med 2020;14:289-93. [PMID: 32477031 DOI: 10.1177/1559827619843489] [Cited by in Crossref: 13] [Cited by in F6Publishing: 16] [Article Influence: 4.3] [Reference Citation Analysis]
243 Mofsen AM, Rodebaugh TL, Nicol GE, Depp CA, Miller JP, Lenze EJ. When All Else Fails, Listen to the Patient: A Viewpoint on the Use of Ecological Momentary Assessment in Clinical Trials. JMIR Ment Health 2019;6:e11845. [PMID: 31066701 DOI: 10.2196/11845] [Cited by in Crossref: 15] [Cited by in F6Publishing: 16] [Article Influence: 5.0] [Reference Citation Analysis]
244 Golbus JR, Klasna P, Nallamothu BK. The CHAT Trial:Time for a Heart to Heart Talk. Circ Cardiovasc Qual Outcomes 2019;12:e005643. [PMID: 31001994 DOI: 10.1161/CIRCOUTCOMES.119.005643] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
245 Psihogios AM, Li Y, Butler E, Hamilton J, Daniel LC, Barakat LP, Bonafide CP, Schwartz LA. Text Message Responsivity in a 2-Way Short Message Service Pilot Intervention With Adolescent and Young Adult Survivors of Cancer. JMIR Mhealth Uhealth 2019;7:e12547. [PMID: 30998225 DOI: 10.2196/12547] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 3.7] [Reference Citation Analysis]
246 Luckett DJ, Laber EB, Kahkoska AR, Maahs DM, Mayer-Davis E, Kosorok MR. Estimating Dynamic Treatment Regimes in Mobile Health Using V-learning. J Am Stat Assoc 2020;115:692-706. [PMID: 32952236 DOI: 10.1080/01621459.2018.1537919] [Cited by in Crossref: 26] [Cited by in F6Publishing: 18] [Article Influence: 8.7] [Reference Citation Analysis]
247 Forman EM, Goldstein SP, Zhang F, Evans BC, Manasse SM, Butryn ML, Juarascio AS, Abichandani P, Martin GJ, Foster GD. OnTrack: development and feasibility of a smartphone app designed to predict and prevent dietary lapses. Transl Behav Med 2019;9:236-45. [PMID: 29617911 DOI: 10.1093/tbm/iby016] [Cited by in Crossref: 27] [Cited by in F6Publishing: 29] [Article Influence: 9.0] [Reference Citation Analysis]
248 Rothman AJ. It's About Time: Answering the Call for Greater Precision in Research and Practice. Appl Psychol Health Well Being 2019;11:191-7. [PMID: 30972957 DOI: 10.1111/aphw.12158] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
249 Ford JA, Jones AP, Wong G, Barton G, Clark A, Sims E, Swart AM, Steel N. Improving primary care Access in Context and Theory (I-ACT trial): a theory-informed randomised cluster feasibility trial using a realist perspective. Trials 2019;20:193. [PMID: 30947737 DOI: 10.1186/s13063-019-3299-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
250 Phillips SM, Courneya KS, Welch WA, Gavin KL, Cottrell A, Nielsen A, Solk P, Blanch-Hartigan D, Cella D, Ackermann RT, Spring B, Penedo F. Breast cancer survivors' preferences for mHealth physical activity interventions: findings from a mixed methods study. J Cancer Surviv 2019;13:292-305. [PMID: 30912011 DOI: 10.1007/s11764-019-00751-3] [Cited by in Crossref: 26] [Cited by in F6Publishing: 15] [Article Influence: 8.7] [Reference Citation Analysis]
251 O'Cathain A, Croot L, Sworn K, Duncan E, Rousseau N, Turner K, Yardley L, Hoddinott P. Taxonomy of approaches to developing interventions to improve health: a systematic methods overview. Pilot Feasibility Stud 2019;5:41. [PMID: 30923626 DOI: 10.1186/s40814-019-0425-6] [Cited by in Crossref: 133] [Cited by in F6Publishing: 185] [Article Influence: 44.3] [Reference Citation Analysis]
252 Kosorok MR, Laber EB. Precision Medicine. Annu Rev Stat Appl 2019;6:263-86. [PMID: 31073534 DOI: 10.1146/annurev-statistics-030718-105251] [Cited by in Crossref: 65] [Cited by in F6Publishing: 69] [Article Influence: 21.7] [Reference Citation Analysis]
253 Biroscak BJ, Pantalon MV, Dziura JD, Hersey DP, Vaca FE. Use of non-face-to-face modalities for emergency department screening, brief intervention, and referral to treatment (ED-SBIRT) for high-risk alcohol use: A scoping review. Subst Abus 2019;40:20-32. [PMID: 30829126 DOI: 10.1080/08897077.2018.1550465] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
254 [DOI: 10.1145/3303772.3303812] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]
255 Candlish J, Teare MD, Cohen J, Bywater T. Statistical design and analysis in trials of proportionate interventions: a systematic review. Trials 2019;20:151. [PMID: 30819224 DOI: 10.1186/s13063-019-3206-x] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.7] [Reference Citation Analysis]
256 Liu N, Liu Y, Logan B, Xu Z, Tang J, Wang Y. Learning the Dynamic Treatment Regimes from Medical Registry Data through Deep Q-network. Sci Rep 2019;9:1495. [PMID: 30728403 DOI: 10.1038/s41598-018-37142-0] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
257 Kramer JN, Künzler F, Mishra V, Presset B, Kotz D, Smith S, Scholz U, Kowatsch T. Investigating Intervention Components and Exploring States of Receptivity for a Smartphone App to Promote Physical Activity: Protocol of a Microrandomized Trial. JMIR Res Protoc 2019;8:e11540. [PMID: 30702430 DOI: 10.2196/11540] [Cited by in Crossref: 44] [Cited by in F6Publishing: 44] [Article Influence: 14.7] [Reference Citation Analysis]
258 Goetz LH, Schork NJ. Personalized medicine: motivation, challenges, and progress. Fertil Steril. 2018;109:952-963. [PMID: 29935653 DOI: 10.1016/j.fertnstert.2018.05.006] [Cited by in Crossref: 111] [Cited by in F6Publishing: 131] [Article Influence: 37.0] [Reference Citation Analysis]
259 Warnick JL, Pfammatter A, Champion K, Galluzzi T, Spring B. Perceptions of Health Behaviors and Mobile Health Applications in an Academically Elite College Population to Inform a Targeted Health Promotion Program. Int J Behav Med 2019;26:165-74. [DOI: 10.1007/s12529-018-09767-y] [Cited by in Crossref: 11] [Cited by in F6Publishing: 14] [Article Influence: 3.7] [Reference Citation Analysis]
260 Seewald NJ, Smith SN, Lee AJ, Klasnja P, Murphy SA. Practical Considerations for Data Collection and Management in Mobile Health Micro-randomized Trials. Stat Biosci 2019;11:355-70. [PMID: 31462937 DOI: 10.1007/s12561-018-09228-w] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 3.3] [Reference Citation Analysis]
261 Rabbi M, Klasnja P, Choudhury T, Tewari A, Murphy S. Optimizing mHealth Interventions with a Bandit. Studies in Neuroscience, Psychology and Behavioral Economics 2019. [DOI: 10.1007/978-3-030-31620-4_18] [Cited by in Crossref: 12] [Article Influence: 4.0] [Reference Citation Analysis]
262 Goldstein CM, Kugler KC. Multiphase Optimization Strategy (MOST). Encyclopedia of Behavioral Medicine 2019. [DOI: 10.1007/978-1-4614-6439-6_101966-1] [Reference Citation Analysis]
263 Riley WT, Oh A, Aklin WM, Sherrill JT, Wolff-Hughes DL, Diana A, Griffin JA, Campo RA. Commentary: Pediatric Digital Health Supported by the National Institutes of Health. J Pediatr Psychol 2019;44:263-8. [PMID: 30597095 DOI: 10.1093/jpepsy/jsy108] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 1.5] [Reference Citation Analysis]
264 Liao P, Dempsey W, Sarker H, Hossain SM, Al'absi M, Klasnja P, Murphy S. Just-in-Time but Not Too Much: Determining Treatment Timing in Mobile Health. Proc ACM Interact Mob Wearable Ubiquitous Technol 2018;2:179. [PMID: 30801052 DOI: 10.1145/3287057] [Cited by in Crossref: 24] [Cited by in F6Publishing: 16] [Article Influence: 6.0] [Reference Citation Analysis]
265 Pham Q, Graham G, Lalloo C, Morita PP, Seto E, Stinson JN, Cafazzo JA. An Analytics Platform to Evaluate Effective Engagement With Pediatric Mobile Health Apps: Design, Development, and Formative Evaluation. JMIR Mhealth Uhealth 2018;6:e11447. [PMID: 30578179 DOI: 10.2196/11447] [Cited by in Crossref: 16] [Cited by in F6Publishing: 17] [Article Influence: 4.0] [Reference Citation Analysis]
266 Middelweerd A, Te Velde SJ, Mollee JS, Klein MC, Brug J. App-Based Intervention Combining Evidence-Based Behavior Change Techniques With a Model-Based Reasoning System to Promote Physical Activity Among Young Adults (Active2Gether): Descriptive Study of the Development and Content. JMIR Res Protoc 2018;7:e185. [PMID: 30578198 DOI: 10.2196/resprot.7169] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 2.8] [Reference Citation Analysis]
267 Bidargaddi N, Almirall D, Murphy S, Nahum-Shani I, Kovalcik M, Pituch T, Maaieh H, Strecher V. To Prompt or Not to Prompt? A Microrandomized Trial of Time-Varying Push Notifications to Increase Proximal Engagement With a Mobile Health App. JMIR Mhealth Uhealth 2018;6:e10123. [PMID: 30497999 DOI: 10.2196/10123] [Cited by in Crossref: 76] [Cited by in F6Publishing: 79] [Article Influence: 19.0] [Reference Citation Analysis]
268 Rabbi M, Aung MS, Gay G, Reid MC, Choudhury T. Feasibility and Acceptability of Mobile Phone-Based Auto-Personalized Physical Activity Recommendations for Chronic Pain Self-Management: Pilot Study on Adults. J Med Internet Res 2018;20:e10147. [PMID: 30368433 DOI: 10.2196/10147] [Cited by in Crossref: 28] [Cited by in F6Publishing: 28] [Article Influence: 7.0] [Reference Citation Analysis]
269 Psihogios AM, Li Y, Butler E, Hamilton J, Daniel LC, Barakat LP, Bonafide CP, Schwartz LA. Text Message Responsivity in a 2-Way Short Message Service Pilot Intervention With Adolescent and Young Adult Survivors of Cancer (Preprint).. [DOI: 10.2196/preprints.12547] [Reference Citation Analysis]
270 Nelson BW, Allen NB. Extending the Passive-Sensing Toolbox: Using Smart-Home Technology in Psychological Science. Perspect Psychol Sci 2018;13:718-33. [PMID: 30217132 DOI: 10.1177/1745691618776008] [Cited by in Crossref: 25] [Cited by in F6Publishing: 25] [Article Influence: 6.3] [Reference Citation Analysis]
271 Cheung YK, Hsueh PS, Ensari I, Willey JZ, Diaz KM. Quantile Coarsening Analysis of High-Volume Wearable Activity Data in a Longitudinal Observational Study. Sensors (Basel) 2018;18:E3056. [PMID: 30213093 DOI: 10.3390/s18093056] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 1.8] [Reference Citation Analysis]
272 Klasnja P, Hekler EB. Rethinking Evaluations Of mHealth Systems For Behavior Change. GetMobile 2018;22:11-4. [PMID: 30680312 DOI: 10.1145/3276145.3276149] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
273 Newton RL Jr, Carter LA, Johnson W, Zhang D, Larrivee S, Kennedy BM, Harris M, Hsia DS. A Church-Based Weight Loss Intervention in African American Adults using Text Messages (LEAN Study): Cluster Randomized Controlled Trial. J Med Internet Res 2018;20:e256. [PMID: 30143478 DOI: 10.2196/jmir.9816] [Cited by in Crossref: 20] [Cited by in F6Publishing: 21] [Article Influence: 5.0] [Reference Citation Analysis]
274 Birckhead B, Khalil C, Liu X, Conovitz S, Rizzo A, Danovitch I, Bullock K, Spiegel B. Recommendations for Methodology of Virtual Reality Clinical Trials in Health Care by an International Working Group: Iterative Study (Preprint).. [DOI: 10.2196/preprints.11973] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
275 Zhu F, Guo J, Li R, Huang J. Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions. Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics 2018. [DOI: 10.1145/3233547.3233554] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
276 Bertz JW, Epstein DH, Preston KL. Combining ecological momentary assessment with objective, ambulatory measures of behavior and physiology in substance-use research. Addict Behav 2018;83:5-17. [PMID: 29174666 DOI: 10.1016/j.addbeh.2017.11.027] [Cited by in Crossref: 37] [Cited by in F6Publishing: 40] [Article Influence: 9.3] [Reference Citation Analysis]
277 Rabbi M, Philyaw Kotov M, Cunningham R, Bonar EE, Nahum-Shani I, Klasnja P, Walton M, Murphy S. Toward Increasing Engagement in Substance Use Data Collection: Development of the Substance Abuse Research Assistant App and Protocol for a Microrandomized Trial Using Adolescents and Emerging Adults. JMIR Res Protoc 2018;7:e166. [PMID: 30021714 DOI: 10.2196/resprot.9850] [Cited by in Crossref: 24] [Cited by in F6Publishing: 25] [Article Influence: 6.0] [Reference Citation Analysis]
278 Kramer J, Künzler F, Mishra V, Presset B, Kotz D, Smith S, Scholz U, Kowatsch T. Investigating Intervention Components and Exploring States of Receptivity for a Smartphone App to Promote Physical Activity: Protocol of a Microrandomized Trial (Preprint).. [DOI: 10.2196/preprints.11540] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
279 Hekler EB, Rivera DE, Martin CA, Phatak SS, Freigoun MT, Korinek E, Klasnja P, Adams MA, Buman MP. Tutorial for Using Control Systems Engineering to Optimize Adaptive Mobile Health Interventions. J Med Internet Res 2018;20:e214. [PMID: 29954725 DOI: 10.2196/jmir.8622] [Cited by in Crossref: 43] [Cited by in F6Publishing: 91] [Article Influence: 10.8] [Reference Citation Analysis]
280 Pinder C, Vermeulen J, Cowan BR, Beale R. Digital Behaviour Change Interventions to Break and Form Habits. ACM Trans Comput -Hum Interact 2018;25:1-66. [DOI: 10.1145/3196830] [Cited by in Crossref: 58] [Cited by in F6Publishing: 24] [Article Influence: 14.5] [Reference Citation Analysis]
281 Conroy DE, Hojjatinia S, Lagoa CM, Yang CH, Lanza ST, Smyth JM. Personalized models of physical activity responses to text message micro-interventions: A proof-of-concept application of control systems engineering methods. Psychol Sport Exerc 2019;41:172-80. [PMID: 30853855 DOI: 10.1016/j.psychsport.2018.06.011] [Cited by in Crossref: 22] [Cited by in F6Publishing: 18] [Article Influence: 5.5] [Reference Citation Analysis]
282 Kowalczyk WJ, Bertz JW, Moran LM, Phillips KA, Ghitza UE, Epstein DH, Preston KL. Clonidine Increases the Likelihood That Abstinence Can Withstand Unstructured Time in Buprenorphine-maintained Outpatients. J Addict Med 2017;11:454-60. [PMID: 28759482 DOI: 10.1097/ADM.0000000000000345] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 1.5] [Reference Citation Analysis]
283 Hopp WJ, Li J, Wang G. Big Data and the Precision Medicine Revolution. Prod Oper Manag 2018;27:1647-64. [DOI: 10.1111/poms.12891] [Cited by in Crossref: 28] [Cited by in F6Publishing: 29] [Article Influence: 7.0] [Reference Citation Analysis]
284 Xu G, Wu Z, Murphy SA. Micro‐Randomized Trial. Wiley StatsRef: Statistics Reference Online 2018. [DOI: 10.1002/9781118445112.stat08050] [Reference Citation Analysis]
285 Cerrada CJ, Dzubur E, Blackman KCA, Mays V, Shoptaw S, Huh J. Development of a Just-in-Time Adaptive Intervention for Smoking Cessation Among Korean American Emerging Adults. Int J Behav Med 2017;24:665-72. [PMID: 28070868 DOI: 10.1007/s12529-016-9628-x] [Cited by in Crossref: 19] [Cited by in F6Publishing: 19] [Article Influence: 4.8] [Reference Citation Analysis]
286 Davis AK, Arterberry BJ, Bonar EE, Chermack ST, Blow FC, Cunningham RM, Walton MA. Predictors of positive drinking outcomes among youth receiving an alcohol brief intervention in the emergency department. Drug Alcohol Depend 2018;188:102-8. [PMID: 29758380 DOI: 10.1016/j.drugalcdep.2018.03.044] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 2.0] [Reference Citation Analysis]
287 Walton A, Nahum-Shani I, Crosby L, Klasnja P, Murphy S. Optimizing Digital Integrated Care via Micro-Randomized Trials. Clin Pharmacol Ther 2018;104:53-8. [PMID: 29604043 DOI: 10.1002/cpt.1079] [Cited by in Crossref: 33] [Cited by in F6Publishing: 33] [Article Influence: 8.3] [Reference Citation Analysis]
288 Hamaker EL, Asparouhov T, Brose A, Schmiedek F, Muthén B. At the Frontiers of Modeling Intensive Longitudinal Data: Dynamic Structural Equation Models for the Affective Measurements from the COGITO Study. Multivariate Behavioral Research 2018;53:820-41. [DOI: 10.1080/00273171.2018.1446819] [Cited by in Crossref: 127] [Cited by in F6Publishing: 108] [Article Influence: 31.8] [Reference Citation Analysis]
289 Daza EJ. Causal Analysis of Self-tracked Time Series Data Using a Counterfactual Framework for N-of-1 Trials. Methods Inf Med 2018;57:e10-21. [PMID: 29621835 DOI: 10.3414/ME16-02-0044] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 1.5] [Reference Citation Analysis]
290 Walton MA, Ngo QM, Chermack ST, Blow FC, Ehrlich PF, Bonar EE, Cunningham RM. Understanding Mechanisms of Change for Brief Alcohol Interventions Among Youth: Examination of Within-Session Interactions. J Stud Alcohol Drugs 2017;78:725-34. [PMID: 28930060 DOI: 10.15288/jsad.2017.78.725] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
291 Laber EB, Rose EJ, Davidian M, Tsiatis AA. Q‐Learning. Wiley StatsRef: Statistics Reference Online 2018. [DOI: 10.1002/9781118445112.stat07998] [Reference Citation Analysis]
292 Rabbi M, Aung MS, Gay G, Reid MC, Choudhury T. Feasibility and Acceptability of Mobile Phone–Based Auto-Personalized Physical Activity Recommendations for Chronic Pain Self-Management: Pilot Study on Adults (Preprint).. [DOI: 10.2196/preprints.10147] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
293 Keadle SK, Conroy DE, Buman MP, Dunstan DW, Matthews CE. Targeting Reductions in Sitting Time to Increase Physical Activity and Improve Health. Med Sci Sports Exerc 2017;49:1572-82. [PMID: 28272267 DOI: 10.1249/MSS.0000000000001257] [Cited by in Crossref: 70] [Cited by in F6Publishing: 73] [Article Influence: 17.5] [Reference Citation Analysis]
294 Rabbi M, Philyaw Kotov M, Cunningham R, Bonar EE, Nahum-shani I, Klasnja P, Walton M, Murphy S. Toward Increasing Engagement in Substance Use Data Collection: Development of the Substance Abuse Research Assistant App and Protocol for a Microrandomized Trial Using Adolescents and Emerging Adults (Preprint).. [DOI: 10.2196/preprints.9850] [Reference Citation Analysis]
295 Hekler EB, Michie S, Pavel M, Rivera DE, Collins LM, Jimison HB, Garnett C, Parral S, Spruijt-Metz D. Advancing Models and Theories for Digital Behavior Change Interventions. Am J Prev Med 2016;51:825-32. [PMID: 27745682 DOI: 10.1016/j.amepre.2016.06.013] [Cited by in Crossref: 103] [Cited by in F6Publishing: 74] [Article Influence: 25.8] [Reference Citation Analysis]
296 Patrick K, Hekler EB, Estrin D, Mohr DC, Riper H, Crane D, Godino J, Riley WT. The Pace of Technologic Change: Implications for Digital Health Behavior Intervention Research. Am J Prev Med 2016;51:816-24. [PMID: 27745681 DOI: 10.1016/j.amepre.2016.05.001] [Cited by in Crossref: 113] [Cited by in F6Publishing: 118] [Article Influence: 28.3] [Reference Citation Analysis]
297 Rivera DE, Hekler EB, Savage JS, Downs DS. Intensively Adaptive Interventions Using Control Systems Engineering: Two Illustrative Examples. Optimization of Behavioral, Biobehavioral, and Biomedical Interventions 2018. [DOI: 10.1007/978-3-319-91776-4_5] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 2.3] [Reference Citation Analysis]
298 Spring B, Pfammatter AF, Hoffman SA, Warnick JL. Translational Behavioral Medicine. Encyclopedia of Behavioral Medicine 2018. [DOI: 10.1007/978-1-4614-6439-6_221-2] [Reference Citation Analysis]
299 Hopp WJ, Li J, Wang G. Big Data and the Precision Medicine Revolution. SSRN Journal. [DOI: 10.2139/ssrn.3178772] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
300 Collins LM. Introduction to Adaptive Interventions. Optimization of Behavioral, Biobehavioral, and Biomedical Interventions 2018. [DOI: 10.1007/978-3-319-72206-1_8] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
301 Trujillo A, Senette C, Buzzi MC. Persona Design for Just-in-Time Adaptive and Persuasive Interfaces in Menopause Self-care. Design, User Experience, and Usability: Users, Contexts and Case Studies 2018. [DOI: 10.1007/978-3-319-91806-8_8] [Cited by in Crossref: 2] [Article Influence: 0.5] [Reference Citation Analysis]
302 Collins LM. Introduction to the Factorial Optimization Trial. Optimization of Behavioral, Biobehavioral, and Biomedical Interventions 2018. [DOI: 10.1007/978-3-319-72206-1_3] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
303 Cook CR, Kilgus SP, Burns MK. Advancing the science and practice of precision education to enhance student outcomes. J Sch Psychol 2018;66:4-10. [PMID: 29429494 DOI: 10.1016/j.jsp.2017.11.004] [Cited by in Crossref: 22] [Cited by in F6Publishing: 16] [Article Influence: 4.4] [Reference Citation Analysis]
304 Garcia-Huidobro D, Doty JL, Davis L, Borowsky IW, Allen ML. For Whom Do Parenting Interventions to Prevent Adolescent Substance Use Work? Prev Sci 2018;19:570-8. [PMID: 29150747 DOI: 10.1007/s11121-017-0853-6] [Cited by in Crossref: 18] [Cited by in F6Publishing: 13] [Article Influence: 3.6] [Reference Citation Analysis]
305 Beintner I, Jacobi C. Impact of telephone prompts on the adherence to an Internet-based aftercare program for women with bulimia nervosa: A secondary analysis of data from a randomized controlled trial. Internet Interv 2019;15:100-4. [PMID: 30792960 DOI: 10.1016/j.invent.2017.11.001] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.2] [Reference Citation Analysis]
306 Yom-Tov E, Feraru G, Kozdoba M, Mannor S, Tennenholtz M, Hochberg I. Encouraging Physical Activity in Patients With Diabetes: Intervention Using a Reinforcement Learning System. J Med Internet Res. 2017;19:e338. [PMID: 29017988 DOI: 10.2196/jmir.7994] [Cited by in Crossref: 77] [Cited by in F6Publishing: 78] [Article Influence: 15.4] [Reference Citation Analysis]
307 Hekler EB, Klasnja P, Riley WT, Buman MP, Huberty J, Rivera DE, Martin CA. Agile science: creating useful products for behavior change in the real world. Transl Behav Med 2016;6:317-28. [PMID: 27357001 DOI: 10.1007/s13142-016-0395-7] [Cited by in Crossref: 131] [Cited by in F6Publishing: 96] [Article Influence: 26.2] [Reference Citation Analysis]
308 Rabbi M, Philyaw-Kotov M, Lee J, Mansour A, Dent L, Wang X, Cunningham R, Bonar E, Nahum-Shani I, Klasnja P, Walton M, Murphy S. SARA: A Mobile App to Engage Users in Health Data Collection. Proc ACM Int Conf Ubiquitous Comput 2017;2017:781-9. [PMID: 29503985 DOI: 10.1145/3123024.3125611] [Cited by in Crossref: 22] [Cited by in F6Publishing: 11] [Article Influence: 4.4] [Reference Citation Analysis]
309 Schembre SM, Liao Y, Robertson MC, Dunton GF, Kerr J, Haffey ME, Burnett T, Basen-engquist K, Hicklen RS. Just-in-Time Feedback in Diet and Physical Activity Interventions: Systematic Review and Practical Design Framework (Preprint).. [DOI: 10.2196/preprints.8701] [Reference Citation Analysis]
310 Tewari A, Murphy SA. From Ads to Interventions: Contextual Bandits in Mobile Health. In: Rehg JM, Murphy SA, Kumar S, editors. Mobile Health. Cham: Springer International Publishing; 2017. pp. 495-517. [DOI: 10.1007/978-3-319-51394-2_25] [Cited by in Crossref: 26] [Cited by in F6Publishing: 2] [Article Influence: 5.2] [Reference Citation Analysis]
311 Rivera DE, Martín CA, Timms KP, Deshpande S, Nandola NN, Hekler EB. Control Systems Engineering for Optimizing Behavioral mHealth Interventions. In: Rehg JM, Murphy SA, Kumar S, editors. Mobile Health. Cham: Springer International Publishing; 2017. pp. 455-93. [DOI: 10.1007/978-3-319-51394-2_24] [Cited by in Crossref: 7] [Cited by in F6Publishing: 1] [Article Influence: 1.4] [Reference Citation Analysis]
312 Vieira R, Mcdonald S, Araújo-soares V, Sniehotta FF, Henderson R. Dynamic modelling of n-of-1 data: powerful and flexible data analytics applied to individualised studies. Health Psychology Review 2017;11:222-34. [DOI: 10.1080/17437199.2017.1343680] [Cited by in Crossref: 38] [Cited by in F6Publishing: 39] [Article Influence: 7.6] [Reference Citation Analysis]
313 Schueller SM, Aguilera A, Mohr DC. Ecological momentary interventions for depression and anxiety. Depress Anxiety 2017;34:540-5. [PMID: 28494123 DOI: 10.1002/da.22649] [Cited by in Crossref: 79] [Cited by in F6Publishing: 94] [Article Influence: 15.8] [Reference Citation Analysis]
314 Consolvo S, Bentley FR, Hekler EB, Phatak SS. Mobile User Research: A Practical Guide. Synthesis Lectures on Mobile and Pervasive Computing 2017;9:i-195. [DOI: 10.2200/s00763ed1v01y201703mpc012] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
315 Phillips SM, Conroy DE, Keadle SK, Pellegrini CA, Lloyd GR, Penedo FJ, Spring B. Breast cancer survivors' preferences for technology-supported exercise interventions. Support Care Cancer 2017;25:3243-52. [PMID: 28470368 DOI: 10.1007/s00520-017-3735-3] [Cited by in Crossref: 45] [Cited by in F6Publishing: 49] [Article Influence: 9.0] [Reference Citation Analysis]
316 Klasnja P, Hekler EB, Korinek EV, Harlow J, Mishra SR. Toward Usable Evidence: Optimizing Knowledge Accumulation in HCI Research on Health Behavior Change. Proc SIGCHI Conf Hum Factor Comput Syst 2017;2017:3071-82. [PMID: 30272059 DOI: 10.1145/3025453.3026013] [Cited by in Crossref: 19] [Cited by in F6Publishing: 9] [Article Influence: 3.8] [Reference Citation Analysis]
317 Bhattacharya A, Vilardaga R, Kientz JA, Munson SA. Lessons from Practice: Designing Tools to Facilitate Individualized Support for Quitting Smoking. ACM Trans Comput Hum Interact 2017;2017:3057-70. [PMID: 29123362 DOI: 10.1145/3025453.3025725] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 1.6] [Reference Citation Analysis]
318 Eccleston C, Crombez G. Advancing psychological therapies for chronic pain. F1000Res 2017;6:461. [PMID: 28413627 DOI: 10.12688/f1000research.10612.1] [Cited by in Crossref: 35] [Cited by in F6Publishing: 37] [Article Influence: 7.0] [Reference Citation Analysis]
319 Boruvka A, Almirall D, Witkiewitz K, Murphy SA. Assessing Time-Varying Causal Effect Moderation in Mobile Health. J Am Stat Assoc 2018;113:1112-21. [PMID: 30467446 DOI: 10.1080/01621459.2017.1305274] [Cited by in Crossref: 50] [Cited by in F6Publishing: 31] [Article Influence: 10.0] [Reference Citation Analysis]
320 Nicholas J, Huckvale K, Larsen ME, Basu A, Batterham PJ, Shaw F, Sendi S. Issues for eHealth in Psychiatry: Results of an Expert Survey. J Med Internet Res 2017;19:e55. [PMID: 28246068 DOI: 10.2196/jmir.6957] [Cited by in Crossref: 24] [Cited by in F6Publishing: 26] [Article Influence: 4.8] [Reference Citation Analysis]
321 Smith SN, Lee AJ, Hall K, Seewald NJ, Boruvka A, Murphy SA, Klasnja P. Design Lessons from a Micro-Randomized Pilot Study in Mobile Health. Mobile Health 2017. [DOI: 10.1007/978-3-319-51394-2_4] [Cited by in Crossref: 6] [Article Influence: 1.2] [Reference Citation Analysis]
322 Nilsen W, Ertin E, Hekler EB, Kumar S, Lee I, Mangharam R, Pavel M, Rehg JM, Riley W, Rivera DE, Spruijt-metz D. Modeling Opportunities in mHealth Cyber-Physical Systems. Mobile Health 2017. [DOI: 10.1007/978-3-319-51394-2_23] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.8] [Reference Citation Analysis]
323 Kozak AT, Buscemi J, Hawkins MA, Wang ML, Breland JY, Ross KM, Kommu A. Technology-based interventions for weight management: current randomized controlled trial evidence and future directions. J Behav Med 2017;40:99-111. [PMID: 27783259 DOI: 10.1007/s10865-016-9805-z] [Cited by in Crossref: 58] [Cited by in F6Publishing: 62] [Article Influence: 9.7] [Reference Citation Analysis]
324 Businelle MS, Ma P, Kendzor DE, Frank SG, Wetter DW, Vidrine DJ. Using Intensive Longitudinal Data Collected via Mobile Phone to Detect Imminent Lapse in Smokers Undergoing a Scheduled Quit Attempt. J Med Internet Res 2016;18:e275. [PMID: 27751985 DOI: 10.2196/jmir.6307] [Cited by in Crossref: 35] [Cited by in F6Publishing: 42] [Article Influence: 5.8] [Reference Citation Analysis]
325 Pham Q, Wiljer D, Cafazzo JA. Beyond the Randomized Controlled Trial: A Review of Alternatives in mHealth Clinical Trial Methods. JMIR Mhealth Uhealth 2016;4:e107. [PMID: 27613084 DOI: 10.2196/mhealth.5720] [Cited by in Crossref: 124] [Cited by in F6Publishing: 127] [Article Influence: 20.7] [Reference Citation Analysis]
326 Almirall D, Chronis-Tuscano A. Adaptive Interventions in Child and Adolescent Mental Health. J Clin Child Adolesc Psychol 2016;45:383-95. [PMID: 27310565 DOI: 10.1080/15374416.2016.1152555] [Cited by in Crossref: 54] [Cited by in F6Publishing: 47] [Article Influence: 9.0] [Reference Citation Analysis]
327 Hesse BW, Greenberg AJ, Rutten LJF. The role of Internet resources in clinical oncology: promises and challenges. Nat Rev Clin Oncol 2016;13:767-76. [DOI: 10.1038/nrclinonc.2016.78] [Cited by in Crossref: 42] [Cited by in F6Publishing: 43] [Article Influence: 7.0] [Reference Citation Analysis]
328 Wilbur J, Kolanowski AM, Collins LM. Utilizing MOST frameworks and SMART designs for intervention research. Nurs Outlook 2016;64:287-9. [PMID: 27262738 DOI: 10.1016/j.outlook.2016.04.005] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 1.5] [Reference Citation Analysis]
329 Berman AH, Gajecki M, Sinadinovic K, Andersson C. Mobile Interventions Targeting Risky Drinking Among University Students: A Review. Curr Addict Rep 2016;3:166-74. [PMID: 27226948 DOI: 10.1007/s40429-016-0099-6] [Cited by in Crossref: 40] [Cited by in F6Publishing: 43] [Article Influence: 6.7] [Reference Citation Analysis]
330 Schwarzer R. Coping planning as an intervention component: A commentary. Psychol Health 2016;31:903-6. [PMID: 26923503 DOI: 10.1080/08870446.2016.1158260] [Cited by in Crossref: 12] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]