%0期刊文章%@ 1438-8871 %I JMIR出版物%V 24%卡塔尔世界杯8强波胆分析 N 8% P e34229% T针对低社会经济地位人群的基于ehealth的生活方式干预计划的障碍和促进因素:范围综述%A Al-Dhahir,Isra %A Reijnders,Thomas %A Faber,Jasper S %A van den Berg-Emons,Rita J %A Janssen,Veronica R %A Kraaijenhagen,Roderik A Visch,Valentijn T %A Chavannes,Niels H %A Evers，安德里亚W M +莱顿大学社会与行为科学学院，健康，医学和神经心理学部门，Wassenaarseweg 52，莱顿，2333 AK，荷兰，31 715273627，i.al-dhahir@fsw.leidenuniv.nl %K e - health %K生活方式干预%K健康行为%K低社会经济地位%K干预发展%K障碍%K促进因素%K预防%K干预评估%D 2022 %7 24.8.2022 %9回顾%J J医学互联网Res %G英语%X背景:在低社会经济地位(SES)人群中促进健康行为和通过健康的生活方式预防慢性病仍然是主要挑战。电子健康干预是改变这一目标群体不健康行为的一种有前途的方法。目的:本综述旨在确定低SES人群电子健康生活方式干预措施的开发、推广、使用、评估和实施中的关键组成部分、障碍和促进因素。本综述为研究人员和电子卫生保健开发人员提供了概述，并可以帮助开发针对低SES人群的电子卫生保健干预措施。方法:我们根据Arksey和O 'Malley的框架进行了范围回顾。对PubMed、MEDLINE (Ovid)、Embase、Web of Science和Cochrane图书馆进行了系统搜索，使用与以下关键结构组合相关的术语:eHealth、生活方式、低SES、发展、覆盖、使用、评估和实施。在检索数据库时检索到的文章没有发表日期的限制。结果:检索确定了1323项研究，其中42项符合我们的纳入标准。 An update of the search led to the inclusion of 17 additional studies. eHealth lifestyle interventions for people with a low SES were often delivered via internet-based methods (eg, websites, email, Facebook, and smartphone apps) and offline methods, such as texting. A minority of the interventions combined eHealth lifestyle interventions with face-to-face or telephone coaching, or wearables (blended care). We identified the use of different behavioral components (eg, social support) and technological components (eg, multimedia) in eHealth lifestyle interventions. Facilitators in the development included iterative design, working with different disciplines, and resonating intervention content with users. Facilitators for intervention reach were use of a personal approach and social network, reminders, and self-monitoring. Nevertheless, barriers, such as technological challenges for developers and limited financial resources, may hinder intervention development. Furthermore, passive recruitment was a barrier to intervention reach. Technical difficulties and the use of self-monitoring devices were common barriers for users of eHealth interventions. Only limited data on barriers and facilitators for intervention implementation and evaluation were available. Conclusions: While we found large variations among studies regarding key intervention components, and barriers and facilitators, certain factors may be beneficial in building and using eHealth interventions and reaching people with a low SES. Barriers and facilitators offer promising elements that eHealth developers can use as a toolbox to connect eHealth with low SES individuals. Our findings suggest that one-size-fits-all eHealth interventions may be less suitable for people with a low SES. Future research should investigate how to customize eHealth lifestyle interventions to meet the needs of different low SES groups, and should identify the components that enhance their reach, use, and effectiveness. %M 36001380 %R 10.2196/34229 %U //www.mybigtv.com/2022/8/e34229 %U https://doi.org/10.2196/34229 %U http://www.ncbi.nlm.nih.gov/pubmed/36001380