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Toward cost-effective staffing mixes for Veterans Affairs substance use disorder treatment programs
BACKGROUND: In fiscal year (FY) 2008, 133,658 patients were provided services within substance use disorders treatment programs (SUDTPs) in the U.S. Department of Veterans Affairs (VA) health care system. To improve the effectiveness and cost-effectiveness of SUDTPs, we analyze the impacts of staffi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4656190/ https://www.ncbi.nlm.nih.gov/pubmed/26596421 http://dx.doi.org/10.1186/s12913-015-1175-7 |
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author | Im, Jinwoo J. Shachter, Ross D. Finney, John W. Trafton, Jodie A. |
author_facet | Im, Jinwoo J. Shachter, Ross D. Finney, John W. Trafton, Jodie A. |
author_sort | Im, Jinwoo J. |
collection | PubMed |
description | BACKGROUND: In fiscal year (FY) 2008, 133,658 patients were provided services within substance use disorders treatment programs (SUDTPs) in the U.S. Department of Veterans Affairs (VA) health care system. To improve the effectiveness and cost-effectiveness of SUDTPs, we analyze the impacts of staffing mix on the benefits and costs of specialty SUD services. This study demonstrates how cost-effective staffing mixes for each type of VA SUDTPs can be defined empirically. METHODS: We used a stepwise method to derive prediction functions for benefits and costs based on patients’ treatment outcomes at VA SUDTPs nationally from 2001 to 2003, and used them to formulate optimization problems to determine recommended staffing mixes that maximize net benefits per patient for four types of SUDTPs by using the solver function with the Generalized Reduced Gradient algorithm in Microsoft Excel 2010 while conforming to limits of current practice. We conducted sensitivity analyses by varying the baseline severity of addiction problems between lower (2.5 %) and higher (97.5 %) values derived from bootstrapping. RESULTS AND CONCLUSIONS: Compared to the actual staffing mixes in FY01-FY03, the recommended staffing mixes would lower treatment costs while improving patients’ outcomes, and improved net benefits are estimated from $1472 to $17,743 per patient. |
format | Online Article Text |
id | pubmed-4656190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46561902015-11-24 Toward cost-effective staffing mixes for Veterans Affairs substance use disorder treatment programs Im, Jinwoo J. Shachter, Ross D. Finney, John W. Trafton, Jodie A. BMC Health Serv Res Research Article BACKGROUND: In fiscal year (FY) 2008, 133,658 patients were provided services within substance use disorders treatment programs (SUDTPs) in the U.S. Department of Veterans Affairs (VA) health care system. To improve the effectiveness and cost-effectiveness of SUDTPs, we analyze the impacts of staffing mix on the benefits and costs of specialty SUD services. This study demonstrates how cost-effective staffing mixes for each type of VA SUDTPs can be defined empirically. METHODS: We used a stepwise method to derive prediction functions for benefits and costs based on patients’ treatment outcomes at VA SUDTPs nationally from 2001 to 2003, and used them to formulate optimization problems to determine recommended staffing mixes that maximize net benefits per patient for four types of SUDTPs by using the solver function with the Generalized Reduced Gradient algorithm in Microsoft Excel 2010 while conforming to limits of current practice. We conducted sensitivity analyses by varying the baseline severity of addiction problems between lower (2.5 %) and higher (97.5 %) values derived from bootstrapping. RESULTS AND CONCLUSIONS: Compared to the actual staffing mixes in FY01-FY03, the recommended staffing mixes would lower treatment costs while improving patients’ outcomes, and improved net benefits are estimated from $1472 to $17,743 per patient. BioMed Central 2015-11-23 /pmc/articles/PMC4656190/ /pubmed/26596421 http://dx.doi.org/10.1186/s12913-015-1175-7 Text en © Im et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Im, Jinwoo J. Shachter, Ross D. Finney, John W. Trafton, Jodie A. Toward cost-effective staffing mixes for Veterans Affairs substance use disorder treatment programs |
title | Toward cost-effective staffing mixes for Veterans Affairs substance use disorder treatment programs |
title_full | Toward cost-effective staffing mixes for Veterans Affairs substance use disorder treatment programs |
title_fullStr | Toward cost-effective staffing mixes for Veterans Affairs substance use disorder treatment programs |
title_full_unstemmed | Toward cost-effective staffing mixes for Veterans Affairs substance use disorder treatment programs |
title_short | Toward cost-effective staffing mixes for Veterans Affairs substance use disorder treatment programs |
title_sort | toward cost-effective staffing mixes for veterans affairs substance use disorder treatment programs |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4656190/ https://www.ncbi.nlm.nih.gov/pubmed/26596421 http://dx.doi.org/10.1186/s12913-015-1175-7 |
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