Veterans Health Administration Outpatient Psychiatry Staffing Model: Longitudinal Analysis on Mental Health Performance

被引:2
作者
Smith, Clifford [1 ]
Boden, Matthew [1 ]
Trafton, Jodie [1 ]
机构
[1] Vet Hlth Adm, Washington, DC 20001 USA
关键词
staffing model; staffing ratio; supply and demand; CARE; INTEGRATION; QUALITY; TRIPLE; ACCESS; TREES; AIM;
D O I
10.1007/s11606-023-08119-1
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
BackgroundAn adequate supply of mental health (MH) professionals is necessary to provide timely access to MH services. Veterans Health Administration (VHA) continues to prioritize the expansion of the MH workforce to meet increasing demand for services.ObjectiveValidated staffing models are essential to ensure timely access to care, to plan for future demand, to ensure delivery of high-quality care, and to balance the demands of fiscal responsibility and strategic priorities.DesignLongitudinal retrospective cohort of VHA outpatient psychiatry, fiscal years 2016-2021.ParticipantsOutpatient VHA psychiatrists.Main MeasuresQuarterly outpatient staff-to-patient ratios (SPRs), defined as the number of full-time equivalent clinically assigned providers per 1000 veterans receiving outpatient MH care, were calculated. Longitudinal recursive partitioning models were created to identify optimal cut-offs for the outpatient psychiatry SPR associated with success on VHA's measures of quality, access, and satisfaction.Key ResultsAmong outpatient psychiatry staff, the root node identified an outpatient SPR of 1.09 for overall performance (p < 0.001). For metrics associated with Population Coverage, a root node identified an SPR of 1.36 (p < 0.001). Metrics associated with continuity of care and satisfaction were associated with a root node of 1.10 and 1.07 (p < 0.001), respectively. In all analyses, the lowest SPRs were associated with the lowest group performance on VHA MH metrics of interest.ConclusionsEstablishing validated staffing models associated with high-quality MH care is critical given the national psychiatry shortage and increasing demand for services. Analyses support VHA's current recommended minimum outpatient psychiatry-specific SPR of 1.22 as a reasonable target to provide high-quality care, access, and satisfaction.
引用
收藏
页码:814 / 820
页数:7
相关论文
共 43 条
[11]   A needs-based method for estimating the behavioral health staff needs of community health centers [J].
Burke, Bridget Teevan ;
Miller, Benjamin F. ;
Proser, Michelle ;
Petterson, Stephen M. ;
Bazemore, Andrew W. ;
Goplerud, Eric ;
Phillips, Robert L. .
BMC HEALTH SERVICES RESEARCH, 2013, 13
[12]   Association Between Mental Health Staffing Level and Primary Care-Mental Health Integration Level on Provision of Depression Care in Veteran's Affairs Medical Facilities [J].
Cooper, Denise C. ;
Helfrich, Christian D. ;
Thielke, Stephen M. ;
Trivedi, Ranak B. ;
Nelson, Karin M. ;
Reiber, Gayle E. ;
Eugenio, Evercita C. ;
Beaver, Kristine ;
Nugent-Carney, Julie ;
Fan, Vincent S. .
ADMINISTRATION AND POLICY IN MENTAL HEALTH AND MENTAL HEALTH SERVICES RESEARCH, 2018, 45 (01) :131-141
[13]   Psychiatrist and nonphysician mental health provider staffing levels in health maintenance organizations [J].
Dial, TH ;
Bergsten, C ;
Haviland, MG ;
Pincus, HA .
AMERICAN JOURNAL OF PSYCHIATRY, 1998, 155 (03) :405-408
[14]  
Faulkner LR, 1997, PSYCHIAT SERV, V48, P666
[15]   Effect of mental health staffing inputs on suicide-related events [J].
Feyman, Yevgeniy ;
Figueroa, Stuart M. ;
Yuan, Yingzhe ;
Price, Megan E. ;
Kabdiyeva, Aigerim ;
Nebeker, Jonathan R. ;
Ward, Merry C. ;
Shafer, Paul R. ;
Pizer, Steven D. ;
Strombotne, Kiersten L. .
HEALTH SERVICES RESEARCH, 2023, 58 (02) :375-382
[16]   Unbiased regression trees for longitudinal and clustered data [J].
Fu, Wei ;
Simonoff, Jeffrey S. .
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2015, 88 :53-74
[17]  
GOLDMAN CR, 1994, HOSP COMMUNITY PSYCH, V45, P333
[18]  
Health Resources and Services Administration, 2016, NAT PROJ SUPPL DEM S
[19]  
Hothorn T, 2019, PARTY LAB RECURSIVE
[20]   Unbiased recursive partitioning: A conditional inference framework [J].
Hothorn, Torsten ;
Hornik, Kurt ;
Zeileis, Achim .
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2006, 15 (03) :651-674