Effect of mental health staffing inputs on initiation of care among recently separated Veterans

Author:

Shafer Paul R.12ORCID,Yuan Yingzhe12,Feyman Yevgeniy12,Price Megan E.1,Kabdiyeva Aigerim1,Figueroa Stuart M.12,Shen Yi‐Jung12,Nebeker Jonathan R.34,Ward Merry C.3,Strombotne Kiersten L.12ORCID,Pizer Steven D.12ORCID

Affiliation:

1. Partnered Evidence‐Based Policy Resource Center VA Boston Healthcare System Boston Massachusetts USA

2. Department of Health Law, Policy, and Management School of Public Health, Boston University Boston Massachusetts USA

3. Department of Veteran Affairs Office of Health Informatics, Veterans Health Administration Washington DC USA

4. School of Medicine University of Utah Salt Lake City Utah USA

Abstract

AbstractObjectiveTo estimate a causal relationship between mental health staffing and time to initiation of mental health care for new patients.Data Sources and Study SettingAs 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 DesignTo 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 MethodsOur 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 FindingsAn 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.ConclusionsIncreases 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.

Funder

Quality Enhancement Research Initiative

Publisher

Wiley

Reference57 articles.

1. U.S. Department of Veterans Affairs Veterans Health Administration.About VHA. Published August 15 2022. Accessed April 24 2023.https://www.va.gov/health/aboutVHA.asp

2. U.S. Department of Veterans Affairs.Veteran Population. Accessed April 14 2023.https://www.va.gov/vetdata/Veteran_Population.asp

3. U.S. Department of Veterans Affairs.Suicide Prevention. Accessed October 23 2023.https://www.mentalhealth.va.gov/suicide_prevention/

4. RamchandR.Suicide among veterans: Veterans' issues in focus. RAND Corporation.2021. Accessed October 23 2023.https://www.rand.org/pubs/perspectives/PEA1363-1.html

5. U.S. Department of Veterans Affairs Office of Mental Health and Suicide Prevention.2022 National Veteran Suicide Prevention Annual Report.2022.https://www.mentalhealth.va.gov/docs/data-sheets/2022/2022-National-Veteran-Suicide-Prevention-Annual-Report-FINAL-508.pdf

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3