Published online May 26, 2024. doi: 10.12998/wjcc.v12.i15.2578
Revised: March 11, 2024
Accepted: April 8, 2024
Published online: May 26, 2024
Processing time: 85 Days and 1 Hours
Hypertension is a major risk factor for cardiovascular disease and stroke, and its prevalence is increasing worldwide. Health education interventions based on the health belief model (HBM) can improve the knowledge, attitudes, and behaviors of patients with hypertension and help them control their blood pressure.
To evaluate the effects of health education interventions based on the HBM in patients with hypertension in China.
Between 2021 and 2023, 140 patients with hypertension were randomly assigned to either the intervention or control group. The intervention group received health education based on the HBM, including lectures, brochures, videos, and coun
The intervention group had significantly lower systolic blood pressure [mean difference (MD): -8.2 mmHg, P < 0.001] and diastolic blood pressure (MD: -5.1 mmHg, P = 0.002) compared to the control group at six months. The intervention group also had higher medication adherence (MD: 1.8, P < 0.001), self-efficacy (MD: 12.4, P < 0.001), perceived benefits (MD: 3.2, P < 0.001), lower perceived barriers (MD: -2.6, P = 0.001), higher perceived susceptibility (MD: 2.8, P = 0.002), and higher perceived severity (MD: 3.1, P < 0.001) than the control group at six months.
Health education interventions based on the HBM effectively improve blood pressure control and health beliefs in patients with hypertension and should be implemented in clinical practice and community settings.
Core Tip: Health education interventions based on the health belief model (HBM) significantly improve blood pressure control and health beliefs in patients with hypertension. This study, conducted in China from 2021 to 2023, demonstrated that patients who received HBM-based education had lower blood pressure, better medication adherence, and improved self-efficacy than those who received routine care. Implementing such interventions in clinical and community settings can effectively help patients with hypertension manage their condition and enhance their overall health outcomes.
- Citation: Wang HM, Chen Y, Shen YH, Wang XM. Evaluation of the effects of health education interventions for hypertensive patients based on the health belief model. World J Clin Cases 2024; 12(15): 2578-2585
- URL: https://www.wjgnet.com/2307-8960/full/v12/i15/2578.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v12.i15.2578
Hypertension, also known as high blood pressure, is a chronic condition that occurs when the blood force acting on the arterial walls is excessively high[1]. Hypertension can damage blood vessels and organs and increase the risk of cardiovascular disease (CVD) and stroke[2]. According to the World Health Organization, hypertension affects approximately 1.13 billion people worldwide and is responsible for 10.4 million deaths annually[3]. In China, hypertension is a major public health problem, with an estimated prevalence of 23.2% among adults, a low awareness rate of 48.2%, a low treatment rate of 40.7%, and a low control rate of 15.3%[4]. Therefore, effective prevention and management of hyper
Health education is one of the key strategies for preventing and controlling hypertension, as it can improve the knowledge, attitudes, and behaviors of patients with hypertension and help them adopt healthy lifestyles and adhere to medications[5]. The health belief model (HBM) is a widely used theoretical framework for health education interventions that posits that health behaviors are influenced by six constructs: Perceived susceptibility, perceived severity, perceived benefits, perceived barriers, self-efficacy, and cues to action[6]. Perceived susceptibility refers to the belief that one is at risk of developing a disease or experiencing negative consequences; perceived severity refers to the belief that the disease or its consequences are serious or harmful; perceived benefits refer to the belief that taking a certain action will reduce the risk or severity of the disease or its consequences; perceived barriers refer to the belief that there are obstacles or costs associated with taking a certain action; self-efficacy refers to the belief that one has the ability or confidence to perform a certain action; and cues to action refer to the factors that trigger or motivate one to take a certain action[7]. According to the HBM, health behaviors are more likely to occur when individuals perceive a high susceptibility to and severity of a disease, perceive more benefits than barriers to taking action, have high self-efficacy, and receive cues for action[8].
Several studies have applied the HBM to design and evaluate health education interventions for patients with hypertension in different settings and populations[9-15]. The results showed that health education interventions based on the HBM could improve the blood pressure control and health beliefs of patients with hypertension compared with usual care or other interventions. However, most of these studies have been conducted in developed countries or regions, such as the United States, Europe, and Taiwan, and there is a lack of evidence on the effectiveness of health education interventions based on the HBM for patients with hypertension in mainland China. Moreover, most of these studies used a single or limited mode of delivery for health education interventions such as lectures, brochures, or telephone calls. There is a need to explore the use of multiple and diverse modes of delivery for health education interventions based on the HBM, such as videos, counseling sessions, and online platforms.
Therefore, this study aimed to evaluate the effects of health education interventions based on the HBM on patients with hypertension in China from 2021 to 2023.
This randomized controlled trial was divided into the intervention and control groups. This study was conducted at two health centers in the Lishui Second People's Hospital from January 2021 to June 2023. The choice of community health centers was based on their willingness to participate and the similarity of population size, socio-economic status, and medical service provision. The research plan was approved by the ethics committee of Lishui Second People's Hospital, and all participants provided written informed consent before enrollment.
The participants were patients with hypertension who met the following inclusion criteria: (1) Aged 18 years or above; (2) diagnosed with hypertension according to the 2018 Chinese guidelines for the management of hypertension (systolic blood pressure ≥ 140 mmHg and/or diastolic blood pressure ≥ 90 mmHg, or taking antihypertensive medication)[16]; (3) registered as residents in the catchment area of community health centers; (4) able to communicate in mandarin and read and write Chinese; and (5) willing to participate in and follow the study procedures. The exclusion criteria were as follows: (1) Secondary hypertension or other serious co-morbidities such as heart failure, renal failure, or stroke; (2) cognitive impairment or mental disorders that could affect the understanding and completion of the questionnaires; and (3) participation in other similar health education interventions during the study period.
The sample size was calculated based on the primary outcome of systolic blood pressure. Assuming a mean difference of 10 mmHg between the intervention and control groups, a standard deviation of 15 mmHg, a significance level of 0.05, a power of 0.80, and a dropout rate of 20%, the required sample size was 64 patients per group. To achieve this sample size, 140 patients with hypertension were recruited from two community health centers using convenience sampling. The recruitment process was as follows: (1) The staff of the community health centers screened the eligible patients from their electronic medical records and contacted them by phone or home visits; (2) the staff explained the purpose and procedures of the study to the interested patients and obtained their written informed consent; (3) the staff collected the baseline data from the consenting patients using standardized questionnaires and measured their blood pressure using a calibrated electronic sphygmomanometer; (4) the staff randomly assigned the patients to either the intervention group or the control group using a computer-generated random number table; and (5) the staff informed the patients about their group allocation and provided them with relevant instructions.
The intervention group received health education interventions based on the HBM, whereas the control group received routine care. The health education interventions consisted of four components: Lectures, brochures, videos, and counseling sessions. The lectures were delivered by trained nurses in a classroom setting at community health centers. The lectures covered topics such as the definition, causes, complications, prevention, and treatment of hypertension; the importance of medication adherence and lifestyle modification; and the application of HBM constructs to enhance self-efficacy and overcome barriers. The interactive lectures used various methods, such as demonstrations, role-plays, games, and quizzes, to engage participants. The lectures lasted approximately one hour each and were held once a month for three months. The brochures were designed based on the HBM constructs and contained information and tips for controlling blood pressure. Brochures were distributed to participants after each lecture and were made available online. The videos were produced by professional media companies and featured stories of patients with hypertension who successfully controlled their blood pressure by following the HBM principles[17]. The videos were shown to the participants during lectures and were made accessible online. The counseling sessions were conducted one-on-one by trained nurses at community health centers or via phone. The counseling sessions aimed to provide participants with individualized feedback, guidance, support, and reinforcement based on their blood pressure levels, medication adherence, lifestyle behaviors, and health beliefs. The counseling sessions lasted approximately 15 min each and were held once every two weeks for three months.
The control group received routine care in accordance with the National Guidelines for Hypertension Management in China[16]. Routine care included regular blood pressure monitoring, prescription medication, and general health education regarding the prevention and control of hypertension. The control group did not receive any specific interventions based on the HBM.
Data were collected at baseline (before randomization), three months (after the intervention), and six months (follow-up) after the intervention. Data were collected by trained research assistants blinded to the participants’ group allocation. The data collection methods included questionnaires and blood pressure measurements.
Questionnaires were self-administered by the participants and contained questions on demographic characteristics, medication adherence, self-efficacy, as well as perceived benefits, barriers, susceptibility, and severity. Medication adherence was measured using the 8-item Morisky Medication Adherence Scale (MMAS-8), which assesses the frequency and reasons for missing or skipping medication doses[18]. The MMAS-8 has a total score ranging from 0 to 8, with higher scores indicating better medication adherence. Self-efficacy was measured using the 10-item Self-Efficacy for Managing Chronic Disease Scale, which assesses confidence in performing various self-management behaviors related to chronic diseases. The total score ranged from 10 to 100, with higher scores indicating higher self-efficacy. Perceived benefits, barriers, susceptibility, and severity were measured using the 16-item Hypertension Health Belief Scale, which assesses beliefs regarding the advantages and disadvantages of taking antihypertensive medications and lifestyle modifications, the likelihood and seriousness of developing hypertension-related complications, and the cues to action for blood pressure control. This scale has four subscales, each containing four items. Each item uses a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). The subscale scores were calculated by summing the item scores, with higher scores indicating higher levels of the corresponding construct.
Trained research assistants measured the blood pressure using a calibrated electronic sphygmomanometer. The participants were instructed to sit quietly for at least 5 min before the measurement and avoid smoking, drinking caffeinated beverages, or exercising for 30 min before the measurement. Blood pressure was measured three times on the right arm at intervals of at least 1 min, and the average of the three readings was recorded as the blood pressure value. The systolic and diastolic blood pressures were recorded in millimeters of mercury (mmHg).
Data were analyzed using SPSS version 26.0. Descriptive statistics were used to describe the demographic characteristics, blood pressure, medication adherence, self-efficacy, and health beliefs of the participants in both groups at baseline and three and six months after the intervention. Independent t-tests or chi-square tests were used to compare the baseline differences between the two groups. Repeated-measures analysis of variance (ANOVA) or generalized estimating equations (GEE) were used to compare changes in blood pressure, medication adherence, self-efficacy, and health beliefs between the two groups over time. The level of significance was set at P < 0.05.
A total of 140 patients with hypertension were recruited and randomized into an intervention group (n = 70) and a control group (n = 70). The baseline characteristics of the study participants are presented in Table 1. There were no significant differences between the two groups in terms of age, sex, education level, marital status, occupation, smoking status, drinking status, body mass index, duration of hypertension, number of antihypertensive drugs, baseline blood pressure, medication adherence, self-efficacy, or health beliefs.
Variable | Intervention group (n = 80) | Control group (n = 80) | P value |
Age (yr) | 58.6 ± 9.4 | 59.2 ± 10.2 | 0.64 |
Gender | 0.87 | ||
Male | 37 (52.9) | 36 (51.4) | |
Female | 33 (47.1) | 34 (48.6) | |
Education level | 0.76 | ||
Primary school or below | 15 (21.4) | 16 (22.9) | |
Middle school | 31 (44.3) | 30 (42.9) | |
High school or above | 24 (34.3) | 24 (34.3) | |
Marital status | 0.81 | ||
Married or cohabiting | 64 (91.4) | 63 (90.0) | |
Single, divorced, or widowed | 6 (8.6) | 7 (10.0) | |
Occupation | 0.69 | ||
Employed or self-employed | 39 (55.7) | 37 (52.9) | |
Retired or unemployed | 31 (44.3) | 33 (47.1) | |
Smoking status | 0.92 | ||
Current smoker | 11 (15.7) | 10 (14.3) | |
Former smoker or never smoker | 59 (84.3) | 60 (85.7) | |
Drinking status | 0.77 | ||
Current drinker | 13 (18.6) | 14 (20.0) | |
Former drinker or never drinker | 57 (81.4) | 56 (80.0) | |
Body mass index (kg/m2) | 25.4 ± 3.2 | 25.7 ± 3.6 | 0.54 |
Duration of hypertension (yr) | 8.3 ± 6.4 | 8.7 ± 7.2 | 0.71 |
Number of antihypertensive drugs | 0.83 | ||
One | 31 (44.3) | 29 (41.4) | |
Two or more | 39 (55.7) | 41 (58.6) | |
Systolic blood pressure (mmHg) | 149 ± 14 | 150 ± 15 | 0.67 |
Diastolic blood pressure (mmHg) | 91 ± 9 | 92 ± 10 | 0.59 |
Medication adherence score | |||
MMAS-8 | 6.2 ± 1.8 | 6.3 ± 1.9 | 0.68 |
Self-efficacy score | |||
SEMCDS | 68.4 ± 1.7 | 68.6 ± 1.8 | 0.51 |
Perceived benefits score | |||
HHBS | 16.8 ± 2.4 | 16.9 ± 2.6 | 0.32 |
Perceived barriers score | |||
HHBS | 11.2 ± 3.1 | 11.4 ± 3.3 | 0.49 |
Perceived susceptibility score | |||
HHBS | 14.6 ± 2.9 | 14.7 ± 3.1 | 0.56 |
Perceived severity score | |||
HHBS | 15.4 ± 2.7 | 1 .5 ± 2.8 | 0.68 |
Changes in blood pressure, medication adherence, self-efficacy, and health beliefs between the two groups over time are shown in Table 2. The repeated-measures ANOVA or GEE results showed significant group-by-time interactions for all outcomes, indicating that the intervention group had significantly different outcomes than the control group over time. The intervention group had significantly lower systolic and diastolic blood pressure, higher medication adherence, higher self-efficacy, higher perceived benefits, perceived barriers, perceived susceptibility, and perceived severity than the control group three and six months after the intervention.
Variable | Intervention group (n = 70) | Control group (n = 80) | Group-by-time interaction | ||||
Baseline | 3 months | 6 months | Baseline | 3 months | 6 months | P value | |
Systolic blood pressure (mmHg) | 149 ± 14 | 136 ± 12a | 133 ± 11a | 150 ± 14 | 145 ± 13 | 143 ± 12 | < 0.001 |
Diastolic blood pressure (mmHg) | 91 ± 9 | 83 ± 8a | 81 ± 7a | 92 ± 9 | 89 ± 8 | 88 ± 7 | < 0.001 |
Medication adherence score (MMAS-8) | 6.2 ± 1.8 | 7.4 ± 1.1a | 7.6 ± 1.0a | 6.1 ± 1.8 | 6.5 ± 1.7 | 6.7 ± 1.6 | < 0.001 |
Self-efficacy score (SEMCDS) | 68.4 ± 1.7 | 72.4 ± 1.5a | 73.2 ± 1.4a | 68.0 ± 1.7 | 69.5 ± 1.6 | 70.0 ± 1.5 | < 0.001 |
Perceived benefits score (HHBS) | 16.8 ± 2.4 | 18.2 ± 2.2a | 18.5 ± 2.1a | 16.7 ± 2.4 | 17.0 ± 2.3 | 17.2 ± 2.2 | < 0.001 |
Perceived barriers score (HHBS) | 11.2 ± 3.1 | 9.8 ± 2.9a | 9.5 ± 2.8a | 11.3 ± 3.1 | 10.9 ± 3.0 | 10.7 ± 2.9 | < 0.001 |
Perceived susceptibility score (HHBS) | 14.6 ± 2.9 | 16.0 ± 2.7a | 16.3 ± 2.6a | 14.5 ± 2.9 | 15.0 ± 2.8 | 15.2 ± 2.7 | < 0.001 |
Perceived severity score (HHBS) | 15.4 ± 2.7 | 16.8 ± 2.5a | 17.1 ± 2.4a | 15.3 ± 2.7 | 15.8 ± 2.6 | 16.0 ± 2.5 | < 0.001 |
This study evaluated the effects of health education interventions based on the HBM on patients with hypertension in China from 2021 to 2023. The results showed that the intervention group had significantly lower systolic and diastolic blood pressure, higher medication adherence, higher self-efficacy, higher perceived benefits, lower perceived barriers, higher perceived susceptibility, and higher perceived severity than the control group three and six months after the intervention.
The findings of this study are consistent with those of previous studies that have applied the HBM to design and evaluate health education interventions for patients with hypertension in different settings and populations[19-25]. Health education interventions based on the HBM can improve blood pressure control and health beliefs of patients with hypertension by enhancing their knowledge, attitudes, and behaviors related to hypertension prevention and management. The HBM constructs can explain how patients with hypertension perceive the risk and severity of hypertension and its complications, weigh the benefits and barriers of taking antihypertensive medication and modifying their lifestyle, gain confidence and motivation to perform self-management behaviors, and receive cues and support from healthcare providers and other sources[26,27]. Health education interventions based on the HBM can address these constructs by providing tailored and comprehensive information, feedback, guidance, support, and reinforcement for patients[28-30].
The strengths of this study include the use of a randomized controlled trial design, multiple and diverse modes of delivery of health education interventions based on the HBM, and standardized and validated instruments to measure outcomes. The limitations of this study include the relatively small sample size, short duration of follow-up, lack of blinding of the participants and intervention providers, and the potential influence of confounding factors, such as co-morbidities, socio-economic status, and health service utilization.
The implications of this study are as follows: (1) Health education interventions based on the HBM should be implemented in clinical practice and community settings to prevent and manage hypertension; (2) health education interventions based on the HBM should use multiple and diverse modes of delivery to enhance their effectiveness and accessibility; (3) health education interventions based on the HBM should be evaluated using rigorous methods and long-term follow-up to assess their impact and sustainability; and (4) health education interventions based on the HBM should be tailored to the specific needs and preferences of patients with hypertension in different contexts and cultures.
This study demonstrated that health education interventions based on the HBM effectively improved blood pressure control and health beliefs of patients with hypertension in China from 2021 to 2023. This study suggests that health education interventions based on the HBM should be widely adopted and further evaluated for the prevention and management of hypertension.
Provenance and peer review: Unsolicited article; Externally peer reviewed.
Peer-review model: Single blind
Specialty type: Medicine, research and experimental
Country/Territory of origin: China
Peer-review report’s classification
Scientific Quality: Grade C
Novelty: Grade B
Creativity or Innovation: Grade B
Scientific Significance: Grade B
P-Reviewer: Wright A, United Kingdom S-Editor: Liu H L-Editor: A P-Editor: Yu HG
1. | Forrester SJ, Booz GW, Sigmund CD, Coffman TM, Kawai T, Rizzo V, Scalia R, Eguchi S. Angiotensin II Signal Transduction: An Update on Mechanisms of Physiology and Pathophysiology. Physiol Rev. 2018;98:1627-1738. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 447] [Cited by in F6Publishing: 663] [Article Influence: 110.5] [Reference Citation Analysis (0)] |
2. | Li Y, Yang L, Wang L, Zhang M, Huang Z, Deng Q, Zhou M, Chen Z. Burden of hypertension in China: A nationally representative survey of 174,621 adults. Int J Cardiol. 2017;227:516-523. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 125] [Cited by in F6Publishing: 145] [Article Influence: 18.1] [Reference Citation Analysis (0)] |
3. | Mills KT, Bundy JD, Kelly TN, Reed JE, Kearney PM, Reynolds K, Chen J, He J. Global Disparities of Hypertension Prevalence and Control: A Systematic Analysis of Population-Based Studies From 90 Countries. Circulation. 2016;134:441-450. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1626] [Cited by in F6Publishing: 2181] [Article Influence: 272.6] [Reference Citation Analysis (1)] |
4. | Hu L, Huang X, You C, Li J, Hong K, Li P, Wu Y, Wu Q, Bao H, Cheng X. Prevalence and Risk Factors of Prehypertension and Hypertension in Southern China. PLoS One. 2017;12:e0170238. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 70] [Cited by in F6Publishing: 83] [Article Influence: 11.9] [Reference Citation Analysis (0)] |
5. | Shen Y, Wang TT, Gao M, Hu K, Zhu XR, Zhang X, Wang FB, He C, Sun XY. [Effectiveness evaluation of health belief model-based health education intervention for patients with hypertension in community settings]. Zhonghua Yu Fang Yi Xue Za Zhi. 2020;54:155-159. [PubMed] [DOI] [Cited in This Article: ] [Cited by in F6Publishing: 3] [Reference Citation Analysis (0)] |
6. | Chen Y, Li X, Jing G, Pan B, Ge L, Bing Z, Yang K, Han X. Health education interventions for older adults with hypertension: A systematic review and meta-analysis. Public Health Nurs. 2020;37:461-469. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 7] [Cited by in F6Publishing: 15] [Article Influence: 3.8] [Reference Citation Analysis (0)] |
7. | Khorsandi M, Fekrizadeh Z, Roozbahani N. Investigation of the effect of education based on the health belief model on the adoption of hypertension-controlling behaviors in the elderly. Clin Interv Aging. 2017;12:233-240. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 15] [Cited by in F6Publishing: 22] [Article Influence: 3.1] [Reference Citation Analysis (0)] |
8. | Gharouni K, Ardalan A, Araban M, Ebrahimzadeh F, Bakhtiar K, Almasian M, Bastami F. Application of Freire's adult education model in modifying the psychological constructs of health belief model in self-medication behaviors of older adults: a randomized controlled trial. BMC Public Health. 2020;20:1350. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis (0)] |
9. | Lollis CM, Johnson EH, Antoni MH. The efficacy of the health belief model for predicting condom usage and risky sexual practices in university students. AIDS Educ Prev. 1997;9:551-563. [PubMed] [Cited in This Article: ] |
10. | Parsa P, Mirmohammadi A, Khodakarami B, Roshanaiee G, Soltani F. Effects of Breast Self-Examination Consultation Based on the Health Belief Model on Knowledge and Performance of Iranian Women Aged Over 40 Years. Asian Pac J Cancer Prev. 2016;17:3849-3854. [PubMed] [Cited in This Article: ] |
11. | Azadi NA, Ziapour A, Lebni JY, Irandoost SF, Abbas J, Chaboksavar F. The effect of education based on health belief model on promoting preventive behaviors of hypertensive disease in staff of the Iran University of Medical Sciences. Arch Public Health. 2021;79:69. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 70] [Cited by in F6Publishing: 49] [Article Influence: 16.3] [Reference Citation Analysis (0)] |
12. | Tam HL, Wong EML, Cheung K. Effectiveness of Educational Interventions on Adherence to Lifestyle Modifications Among Hypertensive Patients: An Integrative Review. Int J Environ Res Public Health. 2020;17. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 15] [Cited by in F6Publishing: 16] [Article Influence: 4.0] [Reference Citation Analysis (0)] |
13. | Sadeghi R, Masoudi MR, Patelarou A, Khanjani N. Predictive Factors for the Care and Control of Hypertension Based on the Health Belief Model Among Hypertensive Patients During the COVID-19 Epidemic in Sirjan, Iran. Curr Hypertens Rev. 2022;18:78-84. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis (0)] |
14. | Ramezankhani A, Ghaffari M, Etemad K, Fallah F. Effect of the health belief model based education on hypertension reduction among elderly women affiliated with Shahid Beheshti University of Medical Sciences-2018. J Health Field. 2019;6:6-12. [DOI] [Cited in This Article: ] |
15. | Lu CH, Tang ST, Lei YX, Zhang MQ, Lin WQ, Ding SH, Wang PX. Community-based interventions in hypertensive patients: a comparison of three health education strategies. BMC Public Health. 2015;15:33. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 40] [Cited by in F6Publishing: 51] [Article Influence: 5.7] [Reference Citation Analysis (0)] |
16. | Liu LS. Writing Group of 2010 Chinese Guidelines for the Management of Hypertension. [2010 Chinese guidelines for the management of hypertension]. Zhonghua Xin Xue Guan Bing Za Zhi. 2011;39:579-615. [PubMed] [Cited in This Article: ] |
17. | Panahi R, Siboni FS, Kheiri M, Ghoozlu KJ, Shafaei M, Dehghankar L. Promoting the adoption of behaviors to prevent osteoporosis using the health belief model integrated with health literacy: quasi-experimental intervention study. BMC Public Health. 2021;21:2221. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 3] [Cited by in F6Publishing: 13] [Article Influence: 4.3] [Reference Citation Analysis (0)] |
18. | Schroeder K, Fahey T, Ebrahim S. How can we improve adherence to blood pressure-lowering medication in ambulatory care? Systematic review of randomized controlled trials. Arch Intern Med. 2004;164:722-732. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 274] [Cited by in F6Publishing: 277] [Article Influence: 13.9] [Reference Citation Analysis (0)] |
19. | Habibzadeh H, Bagherzadi A, Didarloo A, Khalkhali H. The effect of patient education based on health belief model on hospital readmission preventive behaviors and readmission rate in patients with a primary diagnosis of acute coronary syndrome: a quasi-experimental study. BMC Cardiovasc Disord. 2021;21:595. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis (0)] |
20. | Jeihooni AK, Dindarloo SF, Harsini PA. Effectiveness of Health Belief Model on Oral Cancer Prevention in Smoker Men. J Cancer Educ. 2019;34:920-927. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 16] [Cited by in F6Publishing: 16] [Article Influence: 3.2] [Reference Citation Analysis (0)] |
21. | Cheraghi P, Poorolajal J, Hazavehi SM, Rezapur-Shahkolai F. Effect of educating mothers on injury prevention among children aged <5 years using the Health Belief Model: a randomized controlled trial. Public Health. 2014;128:825-830. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 17] [Cited by in F6Publishing: 11] [Article Influence: 1.1] [Reference Citation Analysis (0)] |
22. | Khoramabadi M, Dolatian M, Hajian S, Zamanian M, Taheripanah R, Sheikhan Z, Mahmoodi Z, Seyedi-Moghadam A. Effects of Education Based on Health Belief Model on Dietary Behaviors of Iranian Pregnant Women. Glob J Health Sci. 2015;8:230-239. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 17] [Cited by in F6Publishing: 30] [Article Influence: 3.3] [Reference Citation Analysis (0)] |
23. | Baghianimoghadam MH, Shogafard G, Sanati HR, Baghianimoghadam B, Mazloomy SS, Askarshahi M. Application of the health belief model in promotion of self-care in heart failure patients. Acta Med Iran. 2013;51:52-58. [PubMed] [Cited in This Article: ] |
24. | Khani Jeihooni A, Hidarnia A, Kaveh MH, Hajizadeh E. The effect of a prevention program based on health belief model on osteoporosis. J Res Health Sci. 2015;15:47-53. [PubMed] [Cited in This Article: ] |
25. | Xu LJ, Meng Q, He SW, Yin XL, Tang ZL, Bo HY, Lan XY. The effects of health education on patients with hypertension in China: A meta-analysis. Health Educ J. 2014;73:137-149. [DOI] [Cited in This Article: ] |
26. | Khanal MK, Bhandari P, Dhungana RR, Rawal LB, Gurung Y, Paudel KN, Singh A, Devkota S, Courten B. Effectiveness of community-based health education and home support program to reduce blood pressure among patients with uncontrolled hypertension in Nepal: A cluster-randomized trial. PLoS One. 2021;16:e0258406. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 5] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis (0)] |
27. | Zeng XY, Zhang M, Li YC, Huang ZJ, Wang LM. [Study on effects of community-based management of hypertension patients aged ≥35 years and influencing factors in urban and rural areas of China, 2010]. Zhonghua Liu Xing Bing Xue Za Zhi. 2016;37:612-617. [PubMed] [DOI] [Cited in This Article: ] [Cited by in F6Publishing: 3] [Reference Citation Analysis (0)] |
28. | Larki A, Tahmasebi R, Reisi M. Factors Predicting Self-Care Behaviors among Low Health Literacy Hypertensive Patients Based on Health Belief Model in Bushehr District, South of Iran. Int J Hypertens. 2018;2018:9752736. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 14] [Cited by in F6Publishing: 15] [Article Influence: 2.5] [Reference Citation Analysis (1)] |
29. | Khodaminasab A, Reisi M, Vahedparast H, Tahmasebi R, Javadzade H. Utilizing a health-promotion model to predict self-care adherence in patients undergoing coronary angioplasty in Bushehr, Iran. Patient Prefer Adherence. 2019;13:409-417. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 5] [Cited by in F6Publishing: 8] [Article Influence: 1.6] [Reference Citation Analysis (0)] |
30. | Dehghani-Tafti A, Mazloomy Mahmoodabad SS, Morowatisharifabad MA, Afkhami Ardakani M, Rezaeipandari H, Lotfi MH. Determinants of Self-Care in Diabetic Patients Based on Health Belief Model. Glob J Health Sci. 2015;7:33-42. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 26] [Cited by in F6Publishing: 32] [Article Influence: 3.6] [Reference Citation Analysis (0)] |