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
ARTICLE HIGHLIGHTS
Research background

Childhood asthma is a common respiratory illness that significantly affects preschoolers. Managing asthma in this demographic is challenging because of the limited communication abilities and the need for continuous caregiver involvement. The advent of digital healthcare tools has enabled the potential use of Internet-based models to deliver more efficient and personalized care to young patients with asthma.

Research motivation

Childhood asthma presents significant challenges for effective management, especially among preschoolers with limited communication skills and reliance on caregivers. With the advancement in digital healthcare tools and the need for innovative interventions, there is a motivation to explore Internet-based models for more efficient and personalized care of young patients with asthma.

Research objectives

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. By leveraging Internet-based models and innovative interventions, tailored and efficient care may be provided to young patients with asthma.

Research methods

This study enrolled preschoolers, below five years of age, that attended the pediatric outpatient and emergency departments of a hospital between January 2021 and January 2022. A total of 200 children were randomly divided into observation and control groups. The control group received standard treatment, whereas the observation group was introduced to an intelligent Internet nursing model that focused on the TRACK scale.

Research results

The results showed that the observation group, treated with the intelligent Internet nursing model, experienced fewer asthma attacks and emergency department visits than the control group. Moreover, both groups exhibited improved lung function after six months of treatment.

Research conclusions

This study revealed a new finding: The TRACK-based intelligent Internet nursing model offers significant benefits in asthma management for preschoolers. This study provides an appropriate summary of current knowledge and offers implications for future clinical practice, highlighting that the use of this Internet-based model could enhance asthma management.

Research perspectives

The experiences and lessons learned from this study indicate the potential of a TRACK-based intelligent Internet care model for asthma management in preschoolers. Future directions include conducting long-term follow-up studies to assess the sustainability and durability of the observed effects and exploring the cost-effectiveness and feasibility of implementing the model in various healthcare settings.