University of Exeter Medical School, Exeter, United Kingdom.
London School of Hygiene and Tropical Medicine, London, United Kingdom.
JMIR Public Health Surveill. 2022 Apr 6;8(4):e27061. doi: 10.2196/27061.
Men who have sex with men experience disproportionately high levels of HIV and other sexually transmitted infections (STIs), sexual risk behavior, substance use, and mental ill-health. These experiences are interrelated, and these interrelations are potentiated by structural conditions of discrimination, stigma, and unequal access to appropriate health services, and they magnify each other and have intersecting causal pathways, worsening both risk for each condition and risk for the negative sequelae of each condition. eHealth interventions could address these issues simultaneously and thus have wide-ranging and greater effects than would be for any 1 outcome alone.
We systematically reviewed the evidence for the effectiveness of eHealth interventions in addressing these outcomes separately or together.
We searched 19 databases for randomized trials of interactive or noninteractive eHealth interventions delivered via mobile phone apps, internet, or other electronic media to populations consisting entirely or principally of men who have sex with men to prevent HIV, STIs, sexual risk behavior, alcohol and drug use, or common mental illnesses. We extracted data and appraised each study, estimated meta-analyses where possible by using random effects and robust variance estimation, and assessed the certainty of our findings (closeness of the estimated effect to the true effect) by using GRADE (Grading of Recommendations, Assessment, Development and Evaluations).
We included 14 trials, of which 13 included active versus control comparisons; none reported mental health outcomes, and all drew from 12 months or less of follow-up postintervention. Findings for STIs drew on low numbers of studies and did not suggest consistent short-term (<3 months postintervention; d=0.17, 95% CI -0.18 to 0.52; I=0%; 2 studies) or midterm (3-12 months postintervention, no meta-analysis, 1 study) evidence of effectiveness. Eight studies considering sexual risk behavior outcomes suggested a short-term, nonsignificant reduction (d=-0.14, 95% CI -0.30 to 0.03) with very low certainty, but 6 studies reporting midterm follow-ups suggested a significant impact on reducing sexual risk behavior (d=-0.12, 95% CI -0.19 to -0.05) with low certainty. Meta-analyses could not be undertaken for alcohol and drug use (2 heterogeneous studies) or for HIV infections (1 study for each of short-term or midterm follow-up), and alcohol outcomes alone were not captured in the included studies. Certainty was graded as low to very low for most outcomes, including all meta-analyses.
To create a comprehensive eHealth intervention that targets multiple outcomes, intervention evaluations should seek to generalize both mechanisms and components that are successfully used to achieve change in 1 outcome over multiple outcomes. However, additional evaluations of interventions seeking to address outcomes other than sexual risk behavior are needed before development and evaluation of a joined-up intervention.
男男性行为者(MSM)经历着不成比例的高水平艾滋病毒和其他性传播感染(STI)、性风险行为、物质使用和心理健康问题。这些经历是相互关联的,歧视、污名和获得适当卫生服务机会不均等的结构性条件加剧了这些关联,使每种情况的风险以及每种情况的负面后果的风险都更加严重。电子健康干预措施可以同时解决这些问题,因此其影响范围更广、效果更大,比任何单一结果都要好。
我们系统地综述了电子健康干预措施在分别或同时解决这些结果方面的有效性证据。
我们在 19 个数据库中检索了针对通过移动应用程序、互联网或其他电子媒体向完全或主要由 MSM 组成的人群提供的互动或非互动电子健康干预措施的随机试验,以预防艾滋病毒、STI、性风险行为、酒精和药物使用或常见精神疾病。我们提取数据并评估了每项研究,尽可能通过使用随机效应和稳健方差估计进行荟萃分析,并使用 GRADE(推荐评估、制定和评价分级)评估我们研究结果的确定性(估计效果与真实效果的接近程度)。
我们纳入了 14 项试验,其中 13 项包括了活性与对照的比较;没有一项报告了心理健康结果,所有研究的随访时间都在干预后 12 个月或更短。STI 的研究结果数量较少,并且没有表明短期(<3 个月干预后;d=0.17,95%CI-0.18 至 0.52;I=0%;2 项研究)或中期(3-12 个月干预后,无荟萃分析,1 项研究)干预的有效性具有一致性。8 项研究报告了性行为风险结果,提示短期、无显著效果(d=-0.14,95%CI-0.30 至 0.03),但具有非常低的确定性,而 6 项报告中期随访的研究表明,性行为风险显著降低(d=-0.12,95%CI-0.19 至 -0.05),确定性较低。无法对酒精和药物使用(2 项异质性研究)或艾滋病毒感染(1 项短期和 1 项中期随访研究)进行荟萃分析,并且纳入的研究中没有单独报告酒精相关结果。大多数结果的确定性被评为低到非常低,包括所有荟萃分析。
为了创建一个针对多个结果的全面电子健康干预措施,干预措施的评估应该努力推广在 1 个结果中成功使用的机制和组成部分,以实现多个结果的改变。然而,在开发和评估联合干预措施之前,需要对旨在解决除性行为风险以外的其他结果的干预措施进行更多的评估。