Qualitative studies on the experience of digital health technology among stroke patients: a Meta-synthesis
10.3760/cma.j.cn115682-20240704-03725
- VernacularTitle:脑卒中患者数字健康技术使用体验质性研究的Meta整合
- Author:
Jiawei YANG
1
;
Fangfang SUN
;
Ruicai XU
Author Information
1. 山东中医药大学护理学院，济南 250355
- Publication Type:Journal Article
- Keywords:
Stroke;
Digital health;
Experience;
Qualitative research;
Meta-synthesis
- From:
Chinese Journal of Modern Nursing
2024;30(35):4783-4789
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To systematically evaluate and integrate qualitative studies on the experiences and needs of stroke patients using digital health technology, providing insights for improving clinical implementation of digital health technology.Methods:A computer-based search was conducted in PubMed, Web of Science, Embase, Cochrane Library, CINAHL, Medline, PsycINFO, China National Knowledge Infrastructure, Wanfang Data, VIP, and SinoMed for articles on the experiences and needs of stroke patients using digital health technology, with a search timeframe up to June 30, 2024. The quality of the included studies was assessed using the Joanna Briggs Institute's quality assessment criteria for qualitative research, and the results were integrated using an aggregative synthesis approach.Results:A total of 18 studies were included, yielding 57 primary findings, which were categorized into 10 new categories and synthesized into three integrated findings: the intertwined benefits for physical, mental, and social well-being highlighting the multi-dimensional value of use; multiple barriers with a desire for support from healthcare professionals; and patients' preferences and expectations for digital health technology.Conclusions:Stroke patients have diverse experiences with digital health technology, highlighting the need to focus on patient-centered experiences, improve the digital health service system, and continuously optimize the functionality of digital health technology from the patients' perspective to enhance usability and scalability for stroke patients.
