TY - JOUR AU - Tighe, Sarah A AU - Ball, Kylie AU - Kensing, Finn AU - Kayser, Lars AU - Rawstorn, Jonathan C AU - Maddison, Ralph PY - 2020 DA - 20/10/28 TI -建立非传染性疾病自我管理的数字平台:JO - J Med Internet Res SP - e16774 VL - 22 IS - 10kw -非传染性疾病KW -慢性疾病KW -基于网络的干预KW -移动健康KW -自我管理KW -健康行为KW -移动电话AB -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。但是，它们往往不能促进个人的具体或当前的需要和喜好。建议的替代方案是建立一个数字平台，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循证解决方案，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式干预措施，并研究其在支持非传染性疾病自我管理和健康行为改变方面的潜力。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，因此标准被扩大到包括类似数字平台的干预措施。合格的平台式干预措施提供了一套离散的、循证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，并为用户提供了数字化支持的指导，以实现最适合其需求和偏好的特征。关于干预措施收集的数据以“电子和移动保健应用和在线远程保健试验报告综合标准”(consortium - ehealth)核对表为指导，包括关于有效性和过程结果的评价数据。 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. SN - 1438-8871 UR - //www.mybigtv.com/2020/10/e16774/ UR - https://doi.org/10.2196/16774 UR - http://www.ncbi.nlm.nih.gov/pubmed/33112239 DO - 10.2196/16774 ID - info:doi/10.2196/16774 ER -