Renfrew Melanie Elise, Morton Darren Peter, Morton Jason Kyle, Hinze Jason Scott, Beamish Peter James, Przybylko Geraldine, Craig Bevan Adrian
Lifestyle and Health Research Centre, Avondale University College, Cooranbong, New South Wales, Australia.
J Med Internet Res. 2020 Jan 6;22(1):e15592. doi: 10.2196/15592.
The rapid increase in mental health disorders has prompted a call for greater focus on mental health promotion and primary prevention. Web- and mobile app-based interventions present a scalable opportunity. Little is known about the influence of human support on the outcomes of these interventions.
This study aimed to compare the influence of 3 modes of human support on the outcomes (ie, mental health, vitality, depression, anxiety, stress, life satisfaction, and flourishing) of a 10-week, Web- and mobile app-based, lifestyle-focused mental health promotion intervention among a healthy adult cohort.
Participants were recruited voluntarily using a combination of online and offline advertising. They were randomized, unblinded into 3 groups differentiated by human support mode: Group 1 (n=201): standard-fully automated emails (S); Group 2 (n=202): standard plus personalized SMS (S+pSMS); and Group 3 (n=202): standard plus weekly videoconferencing support (S+VCS), hosted by 1 trained facilitator. Participants accessed the intervention, including the questionnaire, on a Web-based learning management system or through a mobile app. The questionnaire, administered at pre- and postintervention, contained self-reported measures of mental well-being, including the "mental health" and "vitality" subscales from the Short Form Health Survey-36, Depression Anxiety and Stress Scale-21, Diener Satisfaction With Life Scale (SWLS), and Diener Flourishing Scale.
Of 605 potential participants, 458 (S: n=157, S+pSMS: n=163, and S+VCS: n=138) entered the study by completing registration and the preintervention questionnaire. At post intervention, 320 out of 458 participants (69.9%; S: n=103, S+pSMS: n=114, and S+VCS: n=103) completed the questionnaire. Significant within-group improvements were recorded from pre- to postintervention in all groups and in every outcome measure (P≤.001). No significant between-group differences were observed for outcomes in any measure: mental health (P=.77), vitality (P=.65), depression (P=.93), anxiety (P=.25), stress (P.57), SWLS (P=.65), and Flourishing Scale (P=.99). Adherence was not significantly different between groups for mean videos watched (P=.42) and practical activity engagement (P=.71). Participation in videoconference support sessions (VCSSs) was low; 37 out of 103 (35.9%) participants did not attend any VCSSs, and only 19 out of 103 (18.4%) attended 7 or more out of 10 sessions. Stratification within the S+VCS group revealed that those who attended 7 or more VCSSs experienced significantly greater improvements in the domains of mental health (P=.006; d=0.71), vitality (P=.005; d=0.73), depression (P=.04; d=0.54), and life satisfaction (P=.046; d=0.50) compared with participants who attended less than 7.
A Web- and mobile app-based mental health promotion intervention enhanced domains of mental well-being among a healthy cohort, irrespective of human support. Low attendance at VCSSs hindered the ability to make meaningful between-group comparisons. Supplementing the intervention with VCSSs might improve outcomes when attendance is optimized.
Australian New Zealand Clinical Trials Registry (ANZCTR): 12619001009101; http://www.anzctr.org.au/ACTRN12619001009101.aspx.
心理健康障碍的迅速增加促使人们呼吁更加关注心理健康促进和初级预防。基于网络和移动应用程序的干预措施提供了一个可扩展的机会。关于人力支持对这些干预措施效果的影响,人们知之甚少。
本研究旨在比较三种人力支持模式对一组健康成年人群为期10周、基于网络和移动应用程序、以生活方式为重点的心理健康促进干预措施的效果(即心理健康、活力、抑郁、焦虑、压力、生活满意度和蓬勃发展)的影响。
通过线上和线下广告相结合的方式自愿招募参与者。他们被随机、非盲分配到3组,根据人力支持模式区分:第1组(n=201):标准全自动电子邮件(S);第2组(n=202):标准加个性化短信(S+pSMS);第3组(n=202):标准加每周视频会议支持(S+VCS),由1名经过培训的协调员主持。参与者通过基于网络的学习管理系统或移动应用程序访问干预措施,包括问卷。在干预前和干预后进行的问卷包含自我报告的心理健康测量指标,包括简短健康调查问卷-36的“心理健康”和“活力”子量表、抑郁焦虑压力量表-21、迪纳生活满意度量表(SWLS)和迪纳蓬勃发展量表。
在605名潜在参与者中,458名(S组:n=157,S+pSMS组:n=163,S+VCS组:n=138)通过完成注册和干预前问卷进入研究。干预后,458名参与者中的320名(69.9%;S组:n=103,S+pSMS组:n=114,S+VCS组:n=103)完成了问卷。所有组在干预前到干预后的所有结果测量指标上均记录到显著的组内改善(P≤.001)。在任何测量指标的结果中均未观察到显著的组间差异:心理健康(P=.77)、活力(P=.65)、抑郁(P=.93)、焦虑(P=.25)、压力(P=.57)、SWLS(P=.65)和蓬勃发展量表(P=.99)。各组在平均观看视频数量(P=.42)和实际活动参与度(P=.71)方面的依从性没有显著差异。视频会议支持课程(VCSSs)的参与率较低;103名参与者中有37名(35.9%)未参加任何VCSSs,103名参与者中只有19名(18.4%)参加了10次课程中的7次或更多次。S+VCS组内分层显示,与参加少于7次课程的参与者相比,则参加7次或更多次VCSSs的参与者在心理健康(P=.006;d=0.七1)、活力(P=.005;d=0.73)、抑郁(P=.04;d=0.54)和生活满意度(P=.046;d=0.50)方面有显著更大的改善。
基于网络和移动应用程序的心理健康促进干预措施增强了健康人群的心理健康领域,无论是否有人力支持。VCSSs的低参与率阻碍了进行有意义的组间比较的能力。当优化参与率时,用VCSSs补充干预措施可能会改善效果。
澳大利亚新西兰临床试验注册中心(ANZCTR):12619001009101;http://www.anzctr.org.au/ACTRN12619001009101.aspx。