Tong Huong Ly, Laranjo Liliana
Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW Australia.
NPJ Digit Med. 2018 Sep 4;1:43. doi: 10.1038/s41746-018-0051-3. eCollection 2018.
Mobile health (mHealth) technologies have increasingly been used in interventions to promote physical activity (PA), yet, they often have high attrition rates. Integrating social features into mHealth has the potential to engage users; however, little is known about the efficacy and user engagement of such interventions. Thus, the aim of this systematic review was to characterize and evaluate the impact of interventions integrating social features in mHealth interventions to promote PA. During database screening, studies were included if they involved people who were exposed to a mHealth intervention with social features, to promote PA. We conducted a narrative synthesis of included studies and a meta-analysis of randomized controlled trials (RCTs). Nineteen studies were included: 4 RCTs, 10 quasi-experimental, and 5 non-experimental studies. Most experimental studies had retention rates above 80%, except two. Social features were often used to provide social support or comparison. The meta-analysis found a non-significant effect on PA outcomes [standardized difference in means = 0.957, 95% confidence interval -1.09 to 3.00]. Users' preferences of social features were mixed: some felt more motivated by social support and competition, while others expressed concerns about comparison, indicating that a one-size-fits-all approach is insufficient. In summary, this is an emerging area of research, with limited evidence suggesting that social features may increase user engagement. However, due to the quasi-experimental and multi-component nature of most studies, it is difficult to determine the specific impact of social features, suggesting the need for more robust studies to assess the impact of different intervention components.
移动健康(mHealth)技术越来越多地被用于促进身体活动(PA)的干预措施中,然而,它们的损耗率往往很高。将社交功能整合到移动健康中有可能吸引用户;然而,对于此类干预措施的效果和用户参与度却知之甚少。因此,本系统综述的目的是描述和评估在促进身体活动的移动健康干预措施中整合社交功能的干预措施的影响。在数据库筛选过程中,如果研究涉及接触具有社交功能的移动健康干预措施以促进身体活动的人群,则纳入该研究。我们对纳入的研究进行了叙述性综合分析,并对随机对照试验(RCT)进行了荟萃分析。共纳入19项研究:4项随机对照试验、10项准实验研究和5项非实验研究。除两项研究外,大多数实验研究的保留率都在80%以上。社交功能通常用于提供社会支持或进行比较。荟萃分析发现对身体活动结果没有显著影响[均值标准化差异=0.957,95%置信区间-1.09至3.00]。用户对社交功能的偏好各不相同:一些人因社会支持和竞争而更有动力,而另一些人则对比较表示担忧,这表明一刀切的方法是不够的。总之,这是一个新兴的研究领域,有限的证据表明社交功能可能会提高用户参与度。然而,由于大多数研究的准实验性质和多成分性质,很难确定社交功能的具体影响,这表明需要更有力的研究来评估不同干预成分的影响。