期刊文章@ 1438- 8871% I JMIR出版物%V 22% N卡塔尔世界杯8强波胆分析 10% P e16774% T迈向非传染性疾病自我管理的数字平台:Tighe,Sarah A Ball,Kylie %A Kensing,Finn %A Kayser,Lars %A Rawstorn,Jonathan C %A Maddison,Ralph %+体育活动与营养研究所(IPAN)，运动与营养科学学院，迪肯大学，Burwood公路221号，维多利亚州3125，澳大利亚，61 92468383 ext 95590，stighe@deakin.edu.au %K非传染性疾病%K慢性疾病%K网络干预%K移动健康%K自我管理%K健康行为%K移动电话%D 2020 %7 28.10.2020 %9回顾%J J医学互联网Res %G英文%X背景:数字干预对改变健康行为是有效的，因为它们使慢性非传染性疾病(NCDs)的自我管理成为可能。然而，它们往往不能促进特定的或当前的个人需求和偏好。一个提议的替代方案是一个数字平台，该平台托管一套离散的、已经存在的数字卫生干预措施。平台架构将允许用户随着时间的推移探索一系列基于证据的解决方案，以优化他们的自我管理和健康行为改变。目的:本综述旨在确定数字平台类干预措施，并研究其支持非传染性疾病自我管理和健康行为改变的潜力。方法:于2020年1月使用EBSCOhost、PubMed、Scopus和EMBASE进行文献检索。没有确定数字平台，因此标准扩大到包括数字平台类干预措施。符合条件的平台式干预措施提供了一套离散的、基于证据的健康行为改变特征，以优化成人非传染性疾病的自我管理，并为用户提供了最适合其需求和偏好的特征的数字化支持指导。 Data collected on interventions were guided by the CONSORT-EHEALTH (Consolidated Standards of Reporting Trials of Electronic and Mobile Health Applications and Online Telehealth) checklist, including evaluation data on effectiveness and process outcomes. The quality of the included literature was assessed using the Mixed Methods Appraisal Tool. Results: A total of 7 studies were included for review. Targeted NCDs included cardiovascular diseases (CVD; n=3), diabetes (n=3), and chronic obstructive pulmonary disease (n=1). The mean adherence (based on the number of follow-up responders) was 69% (SD 20%). Of the 7 studies, 4 with the highest adherence rates (80%) were also guided by behavior change theories and took an iterative, user-centered approach to development, optimizing intervention relevance. All 7 interventions presented algorithm-supported user guidance tools, including electronic decision support, smart features that interact with patterns of use, and behavior change stage-matching tools. Of the 7 studies, 6 assessed changes in behavior. Significant effects in moderate-to-vigorous physical activity were reported, but for no other specific health behaviors. However, positive behavior change was observed in studies that focused on comprehensive behavior change measures, such as self-care and self-management, each of which addresses several key lifestyle risk factors (eg, medication adherence). No significant difference was found for psychosocial outcomes (eg, quality of life). Significant changes in clinical outcomes were predominately related to disease-specific, multifaceted measures such as clinical disease control and cardiovascular risk score. Conclusions: Iterative, user-centered development of digital platform structures could optimize user engagement with self-management support through existing, evidence-based digital interventions. Offering a palette of interventions with an appropriate degree of guidance has the potential to facilitate disease-specific health behavior change and effective self-management among a myriad of users, conditions, or stages of care. %M 33112239 %R 10.2196/16774 %U //www.mybigtv.com/2020/10/e16774/ %U https://doi.org/10.2196/16774 %U http://www.ncbi.nlm.nih.gov/pubmed/33112239