Emezue Chuka, Chase Jo-Ana D, Udmuangpia Tipparat, Bloom Tina L
Department of Women, Children and Family Nursing Rush University College of Nursing Chicago Illinois USA.
Sinclair School of Nursing University of Missouri Columbia Missouri USA.
Campbell Syst Rev. 2022 Aug 27;18(3):e1271. doi: 10.1002/cl2.1271. eCollection 2022 Sep.
A growing body of research shows the promise and efficacy of technology-based or digital interventions in improving the health and well-being of survivors of intimate partner violence (IPV). In addition, mental health comorbidities such as anxiety, post-traumatic stress disorder (PTSD), and depression occur three to five times more frequently in survivors of IPV than non-survivors, making these comorbidities prominent targets of technology-based interventions. Still, research on the long-term effectiveness of these interventions in reducing IPV victimization and adverse mental health effects is emergent. The significant increase in the number of trials studying technology-based therapies on IPV-related outcomes has allowed us to quantify the effectiveness of such interventions for mental health and victimization outcomes in survivors. This meta-analysis and systematic review provide critical insight from several randomized controlled trials (RCTs) on the overall short and long-term impact of technology-based interventions on the health and well-being of female IPV survivors.
To synthesize current evidence on the effects of technology-based or digital interventions on mental health outcomes (depression, anxiety, and PTSD) and victimization outcomes (physical, psychological, and sexual abuse) among IPV survivors.
We examined multiple traditional and grey databases for studies published from 2007 to 2021. Traditional databases (such as PubMed Central, Web of Science, CINAHL Plus, and PsychINFO) and grey databases were searched between April 2019 and February 2021. In addition, we searched clinical trial registries, government repositories, and reference lists. Authors were contacted where additional data was needed. We identified 3210 studies in traditional databases and 1257 from grey literature. Over 2198 studies were determined to be duplicates and eliminated, leaving 64 studies after screening titles and abstracts. Finally, 17 RCTs were retained for meta-analysis. A pre-registered protocol was developed and published before conducting this meta-analysis.
We included RCTs targeting depression, anxiety, PTSD outcomes, and victimization outcomes (physical, sexual, and psychological violence) among IPV survivors using a technology-based intervention. Eligible RCTs featured a well-defined control group. There were no study restrictions based on participant gender, study setting, or follow-up duration. Included studies additionally supplied outcome data for calculating effect sizes for our desired outcome. Studies were available in full text and published between 2007 and 2021 in English.
We extracted relevant data and coded eligible studies. Using Cochrane's RevMan software, summary effect sizes () were assessed using an independent fixed-effects model. Standardized mean difference (SMD) effect sizes (or Cohen's ) were evaluated using a Type I error rate and an alpha of 0.05. The overall intervention effects were analyzed using the -statistic with a -value of 0.05. Cochran's test and Higgins' statistics were utilized to evaluate and confirm the heterogeneity of each cumulative effect size. The Cochrane risk of bias assessment for randomized trials (RoB 2) was used to assess the quality of the studies. Campbell Systematic Reviews registered and published this study's protocol in January 2021. No exploratory moderator analysis was conducted; however, we report our findings with and without outlier studies in each meta-analysis.
Pooled results from 17 RCTs yielded 18 individual effect size comparisons among 4590 survivors (all females). Survivors included college students, married couples, substance-using women in community prisons, pregnant women, and non-English speakers, and sample sizes ranged from 15 to 672. Survivors' ages ranged from 19 to 41.5 years. Twelve RCTs were conducted in the United States and one in Canada, New Zealand, China (People's Republic of), Kenya, and Australia. The results of this meta-analysis found that technology-based interventions significantly reduced among female IPV survivors at 0-3 months only (SMD = -0.08, 95% confidence interval [CI] = -0.17 to -0.00), among IPV survivors at 0-3 months (SMD = -0.27, 95% CI = -0.42 to -0.13, = 0.00, = 25%), and among IPV survivors at 0-6 months (SMD = -0.22, 95% CI = -0.38 to -0.05). We found significant reductions in psychological violence victimization at 0-6 months (SMD = -0.34, 95% CI = -0.47 to -0.20) and at >6 months (SMD = -0.29, 95% CI = -0.39 to -0.18); however, at both time points, there were outlier studies. At no time point did digital interventions significantly reduce (SMD = -0.04, 95% CI = -0.14 to 0.06, = .46, = 0%), or (SMD = -0.02, 95% CI = -0.14 to 0.11, = 21%) among female IPV survivors for all. With outlier studies removed from our analysis, all summary effect sizes were small, and this small number of comparisons prevented moderator analyses.
AUTHORS' CONCLUSIONS: The results of this meta-analysis are promising. Our findings highlight the effectiveness of IPV-mitigating digital intervention as an add-on (not a replacement) to traditional modalities using a coordinated response strategy. Our findings contribute to the current understanding of "what works" to promote survivors' mental health, safety, and well-being. Future research could advance the science by identifying active intervention ingredients, mapping out intervention principles/mechanisms of action, best modes of delivery, adequate dosage levels using the treatment intensity matching process, and guidelines to increase feasibility and acceptability.
越来越多的研究表明,基于技术或数字的干预措施在改善亲密伴侣暴力(IPV)幸存者的健康和福祉方面具有前景和效果。此外,IPV幸存者中焦虑、创伤后应激障碍(PTSD)和抑郁症等心理健康合并症的发生率是非幸存者的三到五倍,这使得这些合并症成为基于技术的干预措施的主要目标。然而,关于这些干预措施在减少IPV受害和不良心理健康影响方面的长期有效性的研究尚处于起步阶段。研究基于技术的疗法对IPV相关结果的试验数量显著增加,这使我们能够量化此类干预措施对幸存者心理健康和受害结果的有效性。这项荟萃分析和系统评价从多项随机对照试验(RCT)中提供了关键见解,涉及基于技术的干预措施对女性IPV幸存者健康和福祉的总体短期和长期影响。
综合当前关于基于技术或数字的干预措施对IPV幸存者心理健康结果(抑郁、焦虑和PTSD)和受害结果(身体、心理和性虐待)影响的证据。
我们检索了多个传统和灰色数据库,以查找2007年至2021年发表的研究。2019年4月至2021年2月期间检索了传统数据库(如PubMed Central、Web of Science、CINAHL Plus和PsychINFO)和灰色数据库。此外,我们还检索了临床试验注册库、政府资料库和参考文献列表。在需要额外数据时联系了作者。我们在传统数据库中识别出3210项研究,在灰色文献中识别出1257项研究。经判定,超过2198项研究为重复研究并被剔除,筛选标题和摘要后留下64项研究。最后,保留17项RCT进行荟萃分析。在进行这项荟萃分析之前,制定并发表了预先注册的方案。
我们纳入了针对IPV幸存者中抑郁、焦虑、PTSD结果以及受害结果(身体、性和心理暴力)的RCT,这些研究采用了基于技术的干预措施。符合条件的RCT设有明确的对照组。对参与者性别、研究环境或随访持续时间没有研究限制。纳入的研究还提供了结果数据,用于计算我们期望结果的效应量。研究全文可用,且于2007年至2021年以英文发表。
我们提取了相关数据并对符合条件的研究进行编码。使用Cochrane的RevMan软件,采用独立固定效应模型评估汇总效应量()。标准化均数差(SMD)效应量(或Cohen's)使用I型错误率和α值0.05进行评估。使用具有0.05的P值的Z统计量分析总体干预效果。利用Cochran's Q检验和Higgins' I²统计量评估并确认每个累积效应量的异质性。采用随机试验的Cochrane偏倚风险评估(RoB 2)来评估研究质量。Campbell系统评价于2021年1月注册并发表了本研究的方案。未进行探索性调节分析;然而,我们在每项荟萃分析中报告了有和没有异常值研究的结果。
17项RCT的汇总结果在4590名幸存者(均为女性)中产生了18个个体效应量比较。幸存者包括大学生、已婚夫妇、社区监狱中使用毒品的女性、孕妇和非英语使用者,样本量从15到672不等。幸存者年龄在19至41.5岁之间。12项RCT在美国进行,1项在加拿大、新西兰、中国、肯尼亚和澳大利亚进行。这项荟萃分析的结果发现,基于技术的干预措施仅在0至3个月时显著降低了女性IPV幸存者的抑郁(SMD = -0.08,95%置信区间[CI] = -0.17至-0.00),在0至3个月时降低了IPV幸存者的焦虑(SMD = -0.27,95% CI = -0.42至-0.13,P = 0.00,I² = 25%)以及在0至6个月时降低了IPV幸存者的焦虑(SMD = -0.22,95% CI = -0.38至-0.05)。我们发现,在0至6个月时以及在>6个月时,心理暴力受害情况显著减少(SMD = -0.34,95% CI = -0.47至-0.20;SMD = -0.29,95% CI = -0.39至-0.18);然而,在这两个时间点都有异常值研究。在任何时间点,数字干预措施均未显著降低女性IPV幸存者的身体虐待(SMD = -0.04,95% CI = -0.14至0.06,P = 0.46,I² = 0%)或性虐待(SMD = -0.02,95% CI = -0.14至0.11,I² = 21%)。在我们的分析中去除异常值研究后,所有汇总效应量都很小,且这种少量的比较妨碍了调节分析。
这项荟萃分析的结果很有前景。我们的研究结果强调了减轻IPV的数字干预作为使用协调应对策略的传统方式的补充(而非替代)的有效性。我们的研究结果有助于当前对“有效措施”的理解,以促进幸存者的心理健康、安全和福祉。未来的研究可以通过确定积极的干预成分、梳理干预原则/作用机制、最佳交付方式、使用治疗强度匹配过程确定适当的剂量水平以及提高可行性和可接受性的指南来推动这一科学领域的发展。