Cargando…
Veterans Health Administration Outpatient Psychiatry Staffing Model: Longitudinal Analysis on Mental Health Performance
BACKGROUND: An 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. OBJECTIVE: Validated staffing models are ess...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356727/ https://www.ncbi.nlm.nih.gov/pubmed/37340260 http://dx.doi.org/10.1007/s11606-023-08119-1 |
_version_ | 1785075339890786304 |
---|---|
author | Smith, Clifford Boden, Matthew Trafton, Jodie |
author_facet | Smith, Clifford Boden, Matthew Trafton, Jodie |
author_sort | Smith, Clifford |
collection | PubMed |
description | BACKGROUND: An 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. OBJECTIVE: Validated 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. DESIGN: Longitudinal retrospective cohort of VHA outpatient psychiatry, fiscal years 2016–2021. PARTICIPANTS: Outpatient VHA psychiatrists. MAIN MEASURES: Quarterly 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 RESULTS: Among 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. CONCLUSIONS: Establishing 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-023-08119-1. |
format | Online Article Text |
id | pubmed-10356727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-103567272023-07-21 Veterans Health Administration Outpatient Psychiatry Staffing Model: Longitudinal Analysis on Mental Health Performance Smith, Clifford Boden, Matthew Trafton, Jodie J Gen Intern Med Original Research BACKGROUND: An 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. OBJECTIVE: Validated 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. DESIGN: Longitudinal retrospective cohort of VHA outpatient psychiatry, fiscal years 2016–2021. PARTICIPANTS: Outpatient VHA psychiatrists. MAIN MEASURES: Quarterly 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 RESULTS: Among 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. CONCLUSIONS: Establishing 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-023-08119-1. Springer International Publishing 2023-06-20 2023-07 /pmc/articles/PMC10356727/ /pubmed/37340260 http://dx.doi.org/10.1007/s11606-023-08119-1 Text en © The author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Research Smith, Clifford Boden, Matthew Trafton, Jodie Veterans Health Administration Outpatient Psychiatry Staffing Model: Longitudinal Analysis on Mental Health Performance |
title | Veterans Health Administration Outpatient Psychiatry Staffing Model: Longitudinal Analysis on Mental Health Performance |
title_full | Veterans Health Administration Outpatient Psychiatry Staffing Model: Longitudinal Analysis on Mental Health Performance |
title_fullStr | Veterans Health Administration Outpatient Psychiatry Staffing Model: Longitudinal Analysis on Mental Health Performance |
title_full_unstemmed | Veterans Health Administration Outpatient Psychiatry Staffing Model: Longitudinal Analysis on Mental Health Performance |
title_short | Veterans Health Administration Outpatient Psychiatry Staffing Model: Longitudinal Analysis on Mental Health Performance |
title_sort | veterans health administration outpatient psychiatry staffing model: longitudinal analysis on mental health performance |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356727/ https://www.ncbi.nlm.nih.gov/pubmed/37340260 http://dx.doi.org/10.1007/s11606-023-08119-1 |
work_keys_str_mv | AT smithclifford veteranshealthadministrationoutpatientpsychiatrystaffingmodellongitudinalanalysisonmentalhealthperformance AT bodenmatthew veteranshealthadministrationoutpatientpsychiatrystaffingmodellongitudinalanalysisonmentalhealthperformance AT traftonjodie veteranshealthadministrationoutpatientpsychiatrystaffingmodellongitudinalanalysisonmentalhealthperformance |