Paul R. Shafer PhD, Yingzhe Yuan MPH, Yevgeniy Feyman PhD, Megan E. Price MS, Aigerim Kabdiyeva MPhil, Stuart M. Figueroa MSW, Yi-Jung Shen MS, Jonathan R. Nebeker MD, MS, Merry C. Ward PhD, Kiersten L. Strombotne PhD, Steven D. Pizer PhD
{"title":"心理健康人员配备对新近离职退伍军人开始接受治疗的影响。","authors":"Paul R. Shafer PhD, Yingzhe Yuan MPH, Yevgeniy Feyman PhD, Megan E. Price MS, Aigerim Kabdiyeva MPhil, Stuart M. Figueroa MSW, Yi-Jung Shen MS, Jonathan R. Nebeker MD, MS, Merry C. Ward PhD, Kiersten L. Strombotne PhD, Steven D. Pizer PhD","doi":"10.1111/1475-6773.14333","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>To estimate a causal relationship between mental health staffing and time to initiation of mental health care for new patients.</p>\n </section>\n \n <section>\n \n <h3> Data Sources and Study Setting</h3>\n \n <p>As the largest integrated health care delivery system in the United States, the Veterans Health Administration (VHA) provides a unique setting for isolating the effects of staffing on initiation of mental health care where demand is high and out-of-pocket costs are not a relevant confounder. We use data from the Department of Defense and VHA to obtain patient and facility characteristics and health care use.</p>\n </section>\n \n <section>\n \n <h3> Study Design</h3>\n \n <p>To isolate exogenous variation in mental health staffing, we used an instrumental variables approach—two-stage residual inclusion with a discrete time hazard model. Our outcome is time to initiation of mental health care after separation from active duty (first appointment) and our exposure is mental health staffing (standardized clinic time per 1000 VHA enrollees per pay period).</p>\n </section>\n \n <section>\n \n <h3> Data Collection/Extraction Methods</h3>\n \n <p>Our cohort consists of all Veterans separating from active duty between July 2014 and September 2017, who were enrolled in the VHA, and had at least one diagnosis of post-traumatic stress disorder, major depressive disorder, and/or substance use disorder in the year prior to separation from active duty (<i>N</i> = 54,209).</p>\n </section>\n \n <section>\n \n <h3> Principal Findings</h3>\n \n <p>An increase of 1 standard deviation in mental health staffing results in a higher likelihood of initiating mental health care (adjusted hazard ratio: 3.17, 95% confidence interval: 2.62, 3.84, <i>p</i> < 0.001). Models stratified by tertile of mental health staffing exhibit decreasing returns to scale.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Increases in mental health staffing led to faster initiation of care and are especially beneficial in facilities where staffing is lower, although initiation of care appears capacity-limited everywhere.</p>\n </section>\n </div>","PeriodicalId":55065,"journal":{"name":"Health Services Research","volume":"59 S2","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2024-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11540562/pdf/","citationCount":"0","resultStr":"{\"title\":\"Effect of mental health staffing inputs on initiation of care among recently separated Veterans\",\"authors\":\"Paul R. Shafer PhD, Yingzhe Yuan MPH, Yevgeniy Feyman PhD, Megan E. Price MS, Aigerim Kabdiyeva MPhil, Stuart M. Figueroa MSW, Yi-Jung Shen MS, Jonathan R. Nebeker MD, MS, Merry C. Ward PhD, Kiersten L. Strombotne PhD, Steven D. Pizer PhD\",\"doi\":\"10.1111/1475-6773.14333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>To estimate a causal relationship between mental health staffing and time to initiation of mental health care for new patients.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Data Sources and Study Setting</h3>\\n \\n <p>As the largest integrated health care delivery system in the United States, the Veterans Health Administration (VHA) provides a unique setting for isolating the effects of staffing on initiation of mental health care where demand is high and out-of-pocket costs are not a relevant confounder. We use data from the Department of Defense and VHA to obtain patient and facility characteristics and health care use.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Study Design</h3>\\n \\n <p>To isolate exogenous variation in mental health staffing, we used an instrumental variables approach—two-stage residual inclusion with a discrete time hazard model. Our outcome is time to initiation of mental health care after separation from active duty (first appointment) and our exposure is mental health staffing (standardized clinic time per 1000 VHA enrollees per pay period).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Data Collection/Extraction Methods</h3>\\n \\n <p>Our cohort consists of all Veterans separating from active duty between July 2014 and September 2017, who were enrolled in the VHA, and had at least one diagnosis of post-traumatic stress disorder, major depressive disorder, and/or substance use disorder in the year prior to separation from active duty (<i>N</i> = 54,209).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Principal Findings</h3>\\n \\n <p>An increase of 1 standard deviation in mental health staffing results in a higher likelihood of initiating mental health care (adjusted hazard ratio: 3.17, 95% confidence interval: 2.62, 3.84, <i>p</i> < 0.001). Models stratified by tertile of mental health staffing exhibit decreasing returns to scale.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Increases in mental health staffing led to faster initiation of care and are especially beneficial in facilities where staffing is lower, although initiation of care appears capacity-limited everywhere.</p>\\n </section>\\n </div>\",\"PeriodicalId\":55065,\"journal\":{\"name\":\"Health Services Research\",\"volume\":\"59 S2\",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11540562/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Services Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/1475-6773.14333\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Services Research","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1475-6773.14333","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Effect of mental health staffing inputs on initiation of care among recently separated Veterans
Objective
To estimate a causal relationship between mental health staffing and time to initiation of mental health care for new patients.
Data Sources and Study Setting
As the largest integrated health care delivery system in the United States, the Veterans Health Administration (VHA) provides a unique setting for isolating the effects of staffing on initiation of mental health care where demand is high and out-of-pocket costs are not a relevant confounder. We use data from the Department of Defense and VHA to obtain patient and facility characteristics and health care use.
Study Design
To isolate exogenous variation in mental health staffing, we used an instrumental variables approach—two-stage residual inclusion with a discrete time hazard model. Our outcome is time to initiation of mental health care after separation from active duty (first appointment) and our exposure is mental health staffing (standardized clinic time per 1000 VHA enrollees per pay period).
Data Collection/Extraction Methods
Our cohort consists of all Veterans separating from active duty between July 2014 and September 2017, who were enrolled in the VHA, and had at least one diagnosis of post-traumatic stress disorder, major depressive disorder, and/or substance use disorder in the year prior to separation from active duty (N = 54,209).
Principal Findings
An increase of 1 standard deviation in mental health staffing results in a higher likelihood of initiating mental health care (adjusted hazard ratio: 3.17, 95% confidence interval: 2.62, 3.84, p < 0.001). Models stratified by tertile of mental health staffing exhibit decreasing returns to scale.
Conclusions
Increases in mental health staffing led to faster initiation of care and are especially beneficial in facilities where staffing is lower, although initiation of care appears capacity-limited everywhere.
期刊介绍:
Health Services Research (HSR) is a peer-reviewed scholarly journal that provides researchers and public and private policymakers with the latest research findings, methods, and concepts related to the financing, organization, delivery, evaluation, and outcomes of health services. Rated as one of the top journals in the fields of health policy and services and health care administration, HSR publishes outstanding articles reporting the findings of original investigations that expand knowledge and understanding of the wide-ranging field of health care and that will help to improve the health of individuals and communities.