Rosansky Joseph A, Okst Kayley, Tepper Miriam C, Baumgart Schreck Ana, Fulwiler Carl, Wang Philip S, Schuman-Olivier Zev
Department of Psychiatry, Cambridge Health Alliance, Cambridge, MA, United States.
Department of Psychiatry, Harvard Medical School, Boston, MA, United States.
JMIR Ment Health. 2023 Oct 26;10:e48112. doi: 10.2196/48112.
The COVID-19 pandemic involved a prolonged period of collective trauma and stress during which substantial increases in mental health concerns, like depression and anxiety, were observed across the population. In this context, CHAMindWell was developed as a web-based intervention to improve resilience and reduce symptom severity among a public health care system's patient population.
This program evaluation was conducted to explore participants' engagement with and outcomes from CHAMindWell by retrospectively examining demographic information and mental health symptom severity scores throughout program participation.
We examined participants' symptom severity scores from repeated, web-based symptom screenings through Computerized Adaptive Testing for Mental Health (CAT-MH) surveys, and categorized participants into symptom severity-based tiers (tier 1=asymptomatic to mild; tier 2=moderate; and tier 3=severe). Participants were provided tier-based mindfulness resources, treatment recommendations, and referrals. Logistic regressions were conducted to evaluate associations between demographic variables and survey completion. The McNemar exact test and paired sample t tests were performed to evaluate changes in the numbers of participants in tier 1 versus tier 2 or 3 and changes in depression, anxiety, and posttraumatic stress disorder severity scores between baseline and follow-up.
The program enrolled 903 participants (664/903, 73.5% female; 556/903, 61.6% White; 113/903, 12.5% Black; 84/903, 9.3% Asian; 7/903, 0.8% Native; 36/903, 4% other; and 227/903, 25.1% Hispanic) between December 16, 2020, and March 17, 2022. Of those, 623 (69%) completed a baseline CAT-MH survey, and 196 completed at least one follow-up survey 3 to 6 months after baseline. White racial identity was associated with completing baseline CAT-MH (odds ratio [OR] 1.80, 95% CI 1.14-2.84; P=.01). Participants' odds of having symptom severity below the clinical threshold (ie, tier 1) were significantly greater at follow-up (OR 2.60, 95% CI 1.40-5.08; P=.001), and significant reductions were observed across symptom domains over time.
CHAMindWell is associated with reduced severity of mental health symptoms. Future work should aim to address program engagement inequities and attrition and compare the impacts of CHAMindWell to a control condition to better characterize its effects.
新冠疫情导致了长时间的集体创伤和压力,在此期间,人们的心理健康问题大幅增加,如抑郁和焦虑。在此背景下,CHAMindWell作为一种基于网络的干预措施得以开发,旨在提高公共卫生保健系统患者群体的恢复力并减轻症状严重程度。
本项目评估旨在通过回顾性检查整个项目参与过程中的人口统计学信息和心理健康症状严重程度评分,探索参与者对CHAMindWell的参与度和结果。
我们通过心理健康计算机自适应测试(CAT-MH)调查,检查了参与者在基于网络的重复症状筛查中的症状严重程度评分,并将参与者分为基于症状严重程度的层级(1级=无症状至轻度;2级=中度;3级=重度)。为参与者提供了基于层级的正念资源、治疗建议和转诊服务。进行逻辑回归以评估人口统计学变量与调查完成情况之间的关联。进行McNemar精确检验和配对样本t检验,以评估1级与2级或3级参与者数量的变化,以及基线和随访之间抑郁、焦虑和创伤后应激障碍严重程度评分的变化。
该项目在2020年12月16日至2022年3月17日期间招募了903名参与者(664/903,73.5%为女性;556/903,61.6%为白人;113/903,12.5%为黑人;84/903,9.3%为亚洲人;7/903,0.8%为原住民;36/903,4%为其他;227/903,25.1%为西班牙裔)。其中,623人(69%)完成了基线CAT-MH调查,196人在基线后3至6个月完成了至少一次随访调查。白人种族身份与完成基线CAT-MH相关(优势比[OR]1.80,95%CI 1.14-2.84;P=.01)。随访时,参与者症状严重程度低于临床阈值(即1级)的几率显著更高(OR 2.60,95%CI 1.40-5.08;P=.001),且随着时间推移,各症状领域均出现显著下降。
CHAMindWell与心理健康症状严重程度降低相关。未来的工作应致力于解决项目参与的不平等问题和损耗问题,并将CHAMindWell的影响与对照条件进行比较,以更好地描述其效果。