Lifestyle and Health Research Centre, Avondale University College, Cooranbong, Australia.
J Med Internet Res. 2020 Sep 29;22(9):e19945. doi: 10.2196/19945.
The escalating prevalence of mental health disorders necessitates a greater focus on web- and mobile app-based mental health promotion initiatives for nonclinical groups. However, knowledge is scant regarding the influence of human support on attrition and adherence and participant preferences for support in nonclinical settings.
This study aimed to compare the influence of 3 modes of human support on attrition and adherence to a digital mental health intervention for a nonclinical cohort. It evaluated user preferences for support and assessed whether adherence and outcomes were enhanced when participants received their preferred support mode.
Subjects participated in a 10-week digital mental health promotion intervention and were randomized into 3 comparative groups: standard group with automated emails (S), standard plus personalized SMS (S+pSMS), and standard plus weekly videoconferencing support (S+VCS). Adherence was measured by the number of video lessons viewed, points achieved for weekly experiential challenge activities, and the total number of weeks that participants recorded a score for challenges. In the postquestionnaire, participants ranked their preferred human support mode from 1 to 4 (S, S+pSMS, S+VCS, S+pSMS & VCS combined). Stratified analysis was conducted for those who received their first preference. Preintervention and postintervention questionnaires assessed well-being measures (ie, mental health, vitality, depression, anxiety, stress, life satisfaction, and flourishing).
Interested individuals (N=605) enrolled on a website and were randomized into 3 groups (S, n=201; S+pSMS, n=202; S+VCS, n=201). Prior to completing the prequestionnaire, a total of 24.3% (147/605) dropped out. Dropout attrition between groups was significantly different (P=.009): 21.9% (44/201) withdrew from the S group, 19.3% (39/202) from the S+pSMS group, and 31.6% (64/202) from the S+VCS group. The remaining 75.7% (458/605) registered and completed the prequestionnaire (S, n=157; S+pSMS, n=163; S+VCS, n=138). Of the registered participants, 30.1% (138/458) failed to complete the postquestionnaire (S, n=54; S+pSMS, n=49; S+VCS, n=35), but there were no between-group differences (P=.24). For the 69.9% (320/458; S, n=103; S+pSMS, n=114; S+VCS, n=103) who completed the postquestionnaire, no between-group differences in adherence were observed for mean number of videos watched (P=.42); mean challenge scores recorded (P=.71); or the number of weeks that challenge scores were logged (P=.66). A total of 56 participants (17.5%, 56/320) received their first preference in human support (S, n=22; S+pSMS, n=26; S+VCS, n=8). No differences were observed between those who received their first preference and those who did not with regard to video adherence (P=.91); challenge score adherence (P=.27); or any of the well-being measures including, mental health (P=.86), vitality (P=.98), depression (P=.09), anxiety (P=.64), stress (P=.55), life satisfaction (P=.50), and flourishing (P=.47).
Early dropout attrition may have been influenced by dissatisfaction with the allocated support mode. Human support mode did not impact adherence to the intervention, and receiving the preferred support style did not result in greater adherence or better outcomes.
Australian New Zealand Clinical Trials Registry (ANZCTR): 12619001009101; http://www.anzctr.org.au/ACTRN12619001009101.aspx.
心理健康障碍的流行率不断上升,因此需要更加关注针对非临床群体的基于网络和移动应用的心理健康促进计划。然而,关于人类支持对退出率和依从性的影响,以及非临床环境中参与者对支持的偏好,我们的了解还很有限。
本研究旨在比较 3 种人类支持模式对非临床队列的数字心理健康干预的退出率和依从性的影响。评估了用户对支持的偏好,并评估了当参与者获得他们首选的支持模式时,依从性和结果是否得到提高。
受试者参加了一项为期 10 周的数字心理健康促进干预,并被随机分配到 3 个比较组:标准组(S)、标准加个性化短信(S+pSMS)和标准加每周视频会议支持(S+VCS)。依从性通过观看视频课程的次数、每周体验挑战活动的得分以及参与者记录挑战得分的周数来衡量。在问卷调查中,参与者根据自己的喜好将人类支持模式从 1 到 4 进行排名(S、S+pSMS、S+VCS、S+pSMS 和 VCS 结合)。对那些获得首选支持模式的人进行分层分析。在干预前和干预后问卷中评估了幸福感衡量标准(即心理健康、活力、抑郁、焦虑、压力、生活满意度和繁荣)。
有兴趣的个人(N=605)在网站上注册,并被随机分配到 3 个组(S,n=201;S+pSMS,n=202;S+VCS,n=201)。在完成预问卷之前,共有 24.3%(147/605)的人退出。组间的退出率差异显著(P=.009):S 组有 21.9%(44/201)退出,S+pSMS 组有 19.3%(39/202)退出,S+VCS 组有 31.6%(64/202)退出。其余 75.7%(458/605)注册并完成了预问卷(S,n=157;S+pSMS,n=163;S+VCS,n=138)。在已注册的参与者中,30.1%(138/458)未完成后问卷(S,n=54;S+pSMS,n=49;S+VCS,n=35),但组间无差异(P=.24)。对于完成后问卷的 69.9%(320/458;S,n=103;S+pSMS,n=114;S+VCS,n=103),在观看视频的平均数量(P=.42)、记录的挑战得分(P=.71)或记录挑战得分的周数(P=.66)方面,组间无差异。共有 56 名参与者(17.5%,56/320)获得了他们首选的人类支持(S,n=22;S+pSMS,n=26;S+VCS,n=8)。在接受首选支持方式的参与者与未接受的参与者之间,在视频依从性(P=.91)、挑战得分依从性(P=.27)或任何幸福感衡量标准(包括心理健康(P=.86)、活力(P=.98)、抑郁(P=.09)、焦虑(P=.64)、压力(P=.55)、生活满意度(P=.50)和繁荣(P=.47))方面均无差异。
早期退出率可能受到对分配的支持模式不满意的影响。人类支持模式并未影响对干预的依从性,并且获得首选的支持方式并不会导致更高的依从性或更好的结果。
澳大利亚和新西兰临床试验注册中心(ANZCTR):12619001009101;http://www.anzctr.org.au/ACTRN12619001009101.aspx。