Kenneth J Ruggiero,Arthur Andrews,Tatiana M Davidson,Yulia Gavrilova,Brian E Bunnell,Jennifer Dahne,Matthew Price,Zoe M F Brier,Gregory Cohen,Dean Kilpatrick,Ron Acierno,Sandro Galea
{"title":"“立即反弹”移动应用程序的随机对照试验,以减少灾后创伤后压力、抑郁情绪和睡眠障碍的症状。","authors":"Kenneth J Ruggiero,Arthur Andrews,Tatiana M Davidson,Yulia Gavrilova,Brian E Bunnell,Jennifer Dahne,Matthew Price,Zoe M F Brier,Gregory Cohen,Dean Kilpatrick,Ron Acierno,Sandro Galea","doi":"10.1176/appi.ajp.20240232","DOIUrl":null,"url":null,"abstract":"OBJECTIVE\r\nThere is tremendous public health interest in cost-efficient, scalable interventions to improve post-disaster mental health. The authors examined the efficacy of Bounce Back Now (BBN), a mobile application, versus an enhanced usual care app (EUC).\r\n\r\nMETHODS\r\nA population-based trial was conducted with a diverse sample of 1,357 adults affected by Hurricane Harvey, Irma, Maria, Florence, or Michael in 2017 and 2018. Participants were eligible if they were ≥18 years of age, had access to an Internet-accessible device, were English speaking, and lived in a hurricane-affected area. BBN is designed to address symptoms of posttraumatic stress, depression, and sleep disturbance using evidence-based techniques grounded in behavioral and cognitive principles. Depressive, posttraumatic stress, and sleep symptoms were measured.\r\n\r\nRESULTS\r\nParticipants' accessing of the BBN and EUC apps was similar. Active engagement was significantly greater among BBN users than EUC users (d=0.31), but BBN users engaged more actively in coping skills activities than in more time-intensive elements designed to promote behavior change. Moderate symptom reduction was observed in both conditions; Cohen's d values for the 3-month postbaseline assessment ranged from 0.49 to 0.60 in the BBN condition and from 0.36 to 0.41 in the EUC condition. Latent change models revealed that BBN users had significantly greater reductions in depression, sleep difficulty, and PTSD symptoms than EUC users, and these differences were maintained at the 6-month and 12-month postbaseline assessments.\r\n\r\nCONCLUSIONS\r\nPopulation impact is driven by reach and effectiveness. The potential reach of BBN is high, which heightens opportunity for population-level impact, but per-user symptom reduction was modest. Per-user impact may be improved by embedding digital health resources in the context of a broader health care strategy.","PeriodicalId":7656,"journal":{"name":"American Journal of Psychiatry","volume":"93 1","pages":"463-472"},"PeriodicalIF":15.1000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Randomized Controlled Trial of \\\"Bounce Back Now,\\\" a Mobile App to Reduce Post-Disaster Symptoms of Posttraumatic Stress, Depressed Mood, and Sleep Disturbance.\",\"authors\":\"Kenneth J Ruggiero,Arthur Andrews,Tatiana M Davidson,Yulia Gavrilova,Brian E Bunnell,Jennifer Dahne,Matthew Price,Zoe M F Brier,Gregory Cohen,Dean Kilpatrick,Ron Acierno,Sandro Galea\",\"doi\":\"10.1176/appi.ajp.20240232\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"OBJECTIVE\\r\\nThere is tremendous public health interest in cost-efficient, scalable interventions to improve post-disaster mental health. The authors examined the efficacy of Bounce Back Now (BBN), a mobile application, versus an enhanced usual care app (EUC).\\r\\n\\r\\nMETHODS\\r\\nA population-based trial was conducted with a diverse sample of 1,357 adults affected by Hurricane Harvey, Irma, Maria, Florence, or Michael in 2017 and 2018. Participants were eligible if they were ≥18 years of age, had access to an Internet-accessible device, were English speaking, and lived in a hurricane-affected area. BBN is designed to address symptoms of posttraumatic stress, depression, and sleep disturbance using evidence-based techniques grounded in behavioral and cognitive principles. Depressive, posttraumatic stress, and sleep symptoms were measured.\\r\\n\\r\\nRESULTS\\r\\nParticipants' accessing of the BBN and EUC apps was similar. Active engagement was significantly greater among BBN users than EUC users (d=0.31), but BBN users engaged more actively in coping skills activities than in more time-intensive elements designed to promote behavior change. Moderate symptom reduction was observed in both conditions; Cohen's d values for the 3-month postbaseline assessment ranged from 0.49 to 0.60 in the BBN condition and from 0.36 to 0.41 in the EUC condition. Latent change models revealed that BBN users had significantly greater reductions in depression, sleep difficulty, and PTSD symptoms than EUC users, and these differences were maintained at the 6-month and 12-month postbaseline assessments.\\r\\n\\r\\nCONCLUSIONS\\r\\nPopulation impact is driven by reach and effectiveness. The potential reach of BBN is high, which heightens opportunity for population-level impact, but per-user symptom reduction was modest. Per-user impact may be improved by embedding digital health resources in the context of a broader health care strategy.\",\"PeriodicalId\":7656,\"journal\":{\"name\":\"American Journal of Psychiatry\",\"volume\":\"93 1\",\"pages\":\"463-472\"},\"PeriodicalIF\":15.1000,\"publicationDate\":\"2025-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1176/appi.ajp.20240232\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1176/appi.ajp.20240232","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
Randomized Controlled Trial of "Bounce Back Now," a Mobile App to Reduce Post-Disaster Symptoms of Posttraumatic Stress, Depressed Mood, and Sleep Disturbance.
OBJECTIVE
There is tremendous public health interest in cost-efficient, scalable interventions to improve post-disaster mental health. The authors examined the efficacy of Bounce Back Now (BBN), a mobile application, versus an enhanced usual care app (EUC).
METHODS
A population-based trial was conducted with a diverse sample of 1,357 adults affected by Hurricane Harvey, Irma, Maria, Florence, or Michael in 2017 and 2018. Participants were eligible if they were ≥18 years of age, had access to an Internet-accessible device, were English speaking, and lived in a hurricane-affected area. BBN is designed to address symptoms of posttraumatic stress, depression, and sleep disturbance using evidence-based techniques grounded in behavioral and cognitive principles. Depressive, posttraumatic stress, and sleep symptoms were measured.
RESULTS
Participants' accessing of the BBN and EUC apps was similar. Active engagement was significantly greater among BBN users than EUC users (d=0.31), but BBN users engaged more actively in coping skills activities than in more time-intensive elements designed to promote behavior change. Moderate symptom reduction was observed in both conditions; Cohen's d values for the 3-month postbaseline assessment ranged from 0.49 to 0.60 in the BBN condition and from 0.36 to 0.41 in the EUC condition. Latent change models revealed that BBN users had significantly greater reductions in depression, sleep difficulty, and PTSD symptoms than EUC users, and these differences were maintained at the 6-month and 12-month postbaseline assessments.
CONCLUSIONS
Population impact is driven by reach and effectiveness. The potential reach of BBN is high, which heightens opportunity for population-level impact, but per-user symptom reduction was modest. Per-user impact may be improved by embedding digital health resources in the context of a broader health care strategy.
期刊介绍:
The American Journal of Psychiatry, dedicated to keeping psychiatry vibrant and relevant, publishes the latest advances in the diagnosis and treatment of mental illness. The journal covers the full spectrum of issues related to mental health diagnoses and treatment, presenting original articles on new developments in diagnosis, treatment, neuroscience, and patient populations.