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Toward cost-effective staffing mixes for Veterans Affairs substance use disorder treatment programs
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dc.contributor.author Im, Jinwoo J. -
dc.contributor.author Shachter, Ross D. -
dc.contributor.author Finney, John W. -
dc.contributor.author Trafton, Jodie A. -
dc.date.accessioned 2018-01-25T01:09:35Z -
dc.date.available 2018-01-25T01:09:35Z -
dc.date.created 2017-04-10 -
dc.date.issued 2015-11 -
dc.identifier.issn 1472-6963 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/5156 -
dc.description.abstract 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. © 2015 Im et al. -
dc.language English -
dc.publisher BioMed Central Ltd. -
dc.title Toward cost-effective staffing mixes for Veterans Affairs substance use disorder treatment programs -
dc.type Article -
dc.identifier.doi 10.1186/s12913-015-1175-7 -
dc.identifier.wosid 000365253500001 -
dc.identifier.scopusid 2-s2.0-84947797692 -
dc.identifier.bibliographicCitation BMC Health Services Research, v.15 -
dc.description.isOpenAccess TRUE -
dc.subject.keywordAuthor Cost-benefit analysis -
dc.subject.keywordAuthor Substance use disorder (SUD) -
dc.subject.keywordAuthor Staffing -
dc.subject.keywordAuthor Optimization -
dc.subject.keywordPlus ADDICTION SEVERITY INDEX -
dc.subject.keywordPlus Cost-Benefit Analysis -
dc.subject.keywordPlus CYSTOSCOPIES -
dc.subject.keywordPlus HIV -
dc.subject.keywordPlus JOB-SATISFACTION -
dc.subject.keywordPlus MENTAL-HEALTH -
dc.subject.keywordPlus OPTIMAL INVESTMENT -
dc.subject.keywordPlus Optimization -
dc.subject.keywordPlus PREVENTION -
dc.subject.keywordPlus RECURRENT BLADDER-CANCER -
dc.subject.keywordPlus Staffing -
dc.subject.keywordPlus Substance Use Disorder (SUD) -
dc.subject.keywordPlus TURNOVER -
dc.citation.title BMC Health Services Research -
dc.citation.volume 15 -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Health Care Sciences & Services -
dc.relation.journalWebOfScienceCategory Health Care Sciences & Services -
dc.type.docType Article -
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