Suppr超能文献

成年人使用移动应用程序进行糖尿病自我管理的认知和体验如何?一项系统综述。

What are the perceptions and experiences of adults using mobile applications for self-management in diabetes? A systematic review.

作者信息

Patail Kalthum, Pai Hui Hsuan, Greenfield Geva, Hayhoe Benedict, Majeed Azeem, Neves Ana Luisa, Taddese Henock B

机构信息

Primary Care and Public Health, Imperial College London, London, UK

Imperial College London, London, UK.

出版信息

BMJ Open. 2025 Jan 20;15(1):e086671. doi: 10.1136/bmjopen-2024-086671.

Abstract

OBJECTIVES

Diabetes mellitus is a chronic disease that entails significant burdens to patients, caregivers and society at large. While self-management behaviours like healthy eating and monitoring of blood glucose help to reduce the care burden, they are still perceived to be burdensome. Mobile applications have emerged as promising digital tools in helping patients to self-manage their conditions. We conducted systematic review to explore the perceptions and experiences of adults with types 1, 2 and gestational diabetes using mobile applications for self-management in diabetes.

DESIGN

A systematic review of published primary studies exploring perceptions and experiences of adults living with types 1, 2 and gestational diabetes who used/have used mobile applications for self-management. The study was reported following the best practice guidelines defined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses.

DATA SOURCES

We searched for articles published from January 2007 to December 2023 via MEDLINE (Ovid), Embase (Elsevier), CINAHL (Ovid) and Scopus (Elsevier).

ELIGIBILITY CRITERIA

Primary qualitative studies that describe the perceptions and experiences of adults in using mobile applications in self-management of types 1, 2 and gestational diabetes published between January 2007 and December 2023.

DATA EXTRACTION AND SYNTHESIS

Two independent reviewers screened identified papers for eligibility, extracted data using a pre-defined data extraction form and applied the Critical Appraisal Skills Program tool to appraise the quality of the included studies. Data were narratively synthesised, guided by the 'unified theory of acceptance and use of technology (UTAUT)' framework.

RESULTS

A total of 24 qualitative studies deploying interviews and surveys with open-ended questions were included in the review. We identified four major themes, which were mapped against the constructs of the 'UTAUT' framework: 'performance expectancy', 'effort expectancy', 'social influence' and 'facilitating conditions'.More than 50% of the studies described favourable app features relating to monitoring blood glucose, diet and exercise while also emphasising the importance of customising these to patient needs. About 40% of the studies described unfavourable aspects related to uploading of excessive information, monitoring device incompatibility, episodic app crashes and telephone handling issues.

CONCLUSION

The review supports the favourable view of mobile applications as promising tools in helping patients with diabetes to self-manage. However, the challenges on the ease of use and non-customised features of the apps potentially hinder patients' long-term engagement.

摘要

目的

糖尿病是一种慢性病,给患者、护理人员及整个社会带来了沉重负担。虽然诸如健康饮食和血糖监测等自我管理行为有助于减轻护理负担,但人们仍觉得这些行为很繁重。移动应用程序已成为帮助患者自我管理病情的有前景的数字工具。我们进行了系统综述,以探究1型、2型和妊娠期糖尿病成人使用移动应用程序进行糖尿病自我管理的看法和体验。

设计

对已发表的原发性研究进行系统综述,探究1型、2型和妊娠期糖尿病成人使用/曾使用移动应用程序进行自我管理的看法和体验。该研究按照《系统综述和Meta分析优先报告项目》中定义的最佳实践指南进行报告。

数据来源

我们通过MEDLINE(Ovid)、Embase(爱思唯尔)、CINAHL(Ovid)和Scopus(爱思唯尔)搜索了2007年1月至2023年12月发表的文章。

纳入标准

2007年1月至2023年12月发表的描述1型、2型和妊娠期糖尿病成人使用移动应用程序进行自我管理的看法和体验的原发性定性研究。

数据提取与综合

两名独立评审员筛选已识别的论文以确定其是否符合纳入标准,使用预定义的数据提取表提取数据,并应用批判性评估技能计划工具评估纳入研究的质量。数据在“技术接受与使用统一理论(UTAUT)”框架的指导下进行叙述性综合。

结果

该综述共纳入了24项采用访谈和开放式问题调查的定性研究。我们确定了四个主要主题,并将其与“UTAUT”框架的结构进行映射:“绩效期望”“努力期望”“社会影响”和“促进条件”。超过50%的研究描述了与血糖监测、饮食和运动相关的有利应用程序功能,同时也强调了根据患者需求进行定制的重要性。约40%的研究描述了与上传过多信息、监测设备不兼容、应用程序偶尔崩溃和电话处理问题相关的不利方面。

结论

该综述支持将移动应用程序视为帮助糖尿病患者自我管理的有前景工具的积极观点。然而,应用程序在易用性和非定制功能方面的挑战可能会阻碍患者的长期参与。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验