Yale University, School of Nursing, 400 West Campus Drive, Orange, CT 06477, United States.
Prev Med. 2017 Jul;100:194-207. doi: 10.1016/j.ypmed.2017.04.033. Epub 2017 Apr 27.
The objective was to describe Diabetes Prevention Program (DPP)-based lifestyle interventions delivered via electronic, mobile, and certain types of telehealth (eHealth) and estimate the magnitude of the effect on weight loss. A systematic review was conducted. PubMed and EMBASE were searched for studies published between January 2003 and February 2016 that met inclusion and exclusion criteria. An overall estimate of the effect on mean percentage weight loss across all the interventions was initially conducted. A stratified meta-analysis was also conducted to determine estimates of the effect across the interventions classified according to whether behavioral support by counselors post-baseline was not provided, provided remotely with communication technology, or face-to-face. Twenty-two studies met the inclusion/exclusion criteria, in which 26 interventions were evaluated. Samples were primarily white and college educated. Interventions included Web-based applications, mobile phone applications, text messages, DVDs, interactive voice response telephone calls, telehealth video conferencing, and video on-demand programing. Nine interventions were stand-alone, delivered post-baseline exclusively via eHealth. Seventeen interventions included additional behavioral support provided by counselors post-baseline remotely with communication technology or face-to-face. The estimated overall effect on mean percentage weight loss from baseline to up to 15months of follow-up across all the interventions was -3.98%. The subtotal estimate across the stand-alone eHealth interventions (-3.34%) was less than the estimate across interventions with behavioral support given by a counselor remotely (-4.31%), and the estimate across interventions with behavioral support given by a counselor in-person (-4.65%). There is promising evidence of the efficacy of DPP-based eHealth interventions on weight loss. Further studies are needed particularly in racially and ethnically diverse populations with limited levels of educational attainment. Future research should also focus on ways to optimize behavioral support.
目的是描述通过电子、移动和某些类型的远程医疗(eHealth)提供的基于糖尿病预防计划(DPP)的生活方式干预,并估计其对体重减轻的影响程度。进行了系统评价。在 2003 年 1 月至 2016 年 2 月期间,在 PubMed 和 EMBASE 上搜索符合纳入和排除标准的研究。最初对所有干预措施的平均体重百分比减轻效果进行了总体估计。还进行了分层荟萃分析,以确定根据基线后是否未提供、远程使用通信技术或面对面提供咨询师的行为支持对分类干预措施的效果估计。符合纳入/排除标准的 22 项研究,其中 26 项干预措施进行了评估。样本主要为白人且受过大学教育。干预措施包括基于网络的应用程序、手机应用程序、短信、DVD、交互式语音应答电话、远程医疗视频会议和视频点播节目。有 9 项干预措施是独立的,仅在基线后通过远程医疗提供 eHealth 。 17 项干预措施包括基线后由咨询师远程使用通信技术或面对面提供的额外行为支持。在所有干预措施中,从基线到长达 15 个月的随访期间,平均体重百分比减轻的总估计值为-3.98%。独立的 eHealth 干预措施的总估计值(-3.34%)小于咨询师远程提供行为支持的干预措施的估计值(-4.31%),以及咨询师面对面提供行为支持的干预措施的估计值(-4.65%)。有令人鼓舞的证据表明基于 DPP 的 eHealth 干预措施对体重减轻有效。特别需要在受教育程度较低的种族和族裔多样化人群中开展进一步的研究。未来的研究还应关注优化行为支持的方法。