Retrospective Study
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Oct 6, 2023; 11(28): 6707-6714
Published online Oct 6, 2023. doi: 10.12998/wjcc.v11.i28.6707
Research on the intelligent internet nursing model based on the child respiratory and asthma control test scale for asthma management of preschool children
Chuan-Feng Pei, Li Zhang, Xi-Yan Xu, Zhen Qin, Hong-Mei Liang
Chuan-Feng Pei, Li Zhang, Xi-Yan Xu, Hong-Mei Liang, Department of Nursing, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 201620, China
Zhen Qin, Department of Pediatrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 201620, China
Author contributions: The concept of this study was proposed by Pei CF; Zhang L contributed to data collection; Xu XY contributed to the formal analysis; Qin Z and Pei CF participated in the survey; Pei CF and Liang HM contributed to these methods; Qin Z guided the research; Pei CF, Zhang L, and Qin Z validated this study; Pei CF contributed to the visualization of this study; and Pei CF and Xu XY reviewed and edited the manuscript.
Supported by Science and Technology Research Project of Songjiang District, No. 2020SJ340.
Institutional review board statement: This study has been approved by the Ethics Committee of the First Affiliated People's Hospital of Shanghai Jiao Tong University School of Medicine.
Informed consent statement: All study participants, or their legal guardian, provided informed written consent prior to study enrollment.
Conflict-of-interest statement: All authors declare that there are no conflicts of interest.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Hong-Mei Liang, BSc, Nurse, Department of Nursing, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 650 Xinsongjiang Road, Songjiang District, Shanghai 201620, China. lll20230614@126.com
Received: July 6, 2023
Peer-review started: July 6, 2023
First decision: July 27, 2023
Revised: August 9, 2023
Accepted: September 5, 2023
Article in press: September 5, 2023
Published online: October 6, 2023
Processing time: 81 Days and 2.2 Hours
Core Tip

Core Tip: Childhood asthma is a common respiratory disease that affects preschoolers. Asthma management in this population can be challenging due to limited communication and the need for involvement of a caregiver. This study explored the impact of an intelligent Internet care model based on the child respiratory and asthma control test (TRACK) on asthma management in preschoolers. Two hundred preschoolers were randomly divided into observation and control groups. The observation group received an intelligent Internet nursing model based on the TRACK scale. The results showed that the observation group had fewer asthma attacks and emergency visits, higher lung function, and better quality of life scores than the control group. Asthma control rate was also higher in the observation group in comparison to the control group. The present study suggests that a TRACK based intelligent internet nursing model can be an effective approach for asthma management in preschoolers.