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Template matching for benchmarking hospital performance in the veterans affairs healthcare system.

ABSTRACT: Comparing hospital performance in a health system is traditionally done with multilevel regression models that adjust for differences in hospitals' patient case-mix. In contrast, "template matching" compares outcomes of similar patients at different hospitals but has been used only in limited patient settings.Our objective was to test a basic template matching approach in the nationwide Veterans Affairs healthcare system (VA), compared with a more standard regression approach.We performed various simulations using observational data from VA electronic health records whereby we randomly assigned patients to "pseudo hospitals," eliminating true hospital level effects. We randomly selected a representative template of 240 patients and matched 240 patients on demographic and physiological factors from each pseudo hospital to the template. We varied hospital performance for different simulations such that some pseudo hospitals negatively impacted patient mortality.Electronic health record data of 460,213 hospitalizations at 111 VA hospitals across the United States in 2015.We assessed 30-day mortality at each pseudo hospital and identified lowest quintile hospitals by template matching and regression. The regression model adjusted for predicted 30-day mortality (as a measure of illness severity).Regression identified the lowest quintile hospitals with 100% accuracy compared with 80.3% to 82.0% for template matching when systematic differences in 30-day mortality existed.The current standard practice of risk-adjusted regression incorporating patient-level illness severity was better able to identify lower-performing hospitals than the simplistic template matching algorithm.

SUBMITTER: Vincent BM

PROVIDER: S-EPMC6531221 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Template matching for benchmarking hospital performance in the veterans affairs healthcare system.

Vincent Brenda M BM Wiitala Wyndy L WL Luginbill Kaitlyn A KA Molling Daniel J DJ Hofer Timothy P TP Ryan Andrew M AM Prescott Hallie C HC

Medicine 20190501 20

Comparing hospital performance in a health system is traditionally done with multilevel regression models that adjust for differences in hospitals' patient case-mix. In contrast, "template matching" compares outcomes of similar patients at different hospitals but has been used only in limited patient settings.Our objective was to test a basic template matching approach in the nationwide Veterans Affairs healthcare system (VA), compared with a more standard regression approach.We performed variou ...[more]

PMID: 31096485

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Project description:BackgroundPrimary care providers (PCPs) vary in skills to effectively treat depression. Key features of evidence-based collaborative care models (CCMs) include the availability of depression care managers (DCMs) and mental health specialists (MHSs) in primary care. Little is known, however, about the relationships between PCP characteristics, CCM features, and PCP depression care.ObjectiveTo assess relationships between various CCM features, PCP characteristics, and PCP depression management.DesignCross-sectional analysis of a provider survey.Participants180 PCPs in eight VA sites nationwide.Main measuresIndependent variables included scales measuring comfort and difficulty with depression care; collaboration with a MHS; self-reported depression caseload; availability of a collocated MHS, and co-management with a DCM or MHS. Covariates included provider type and gender. For outcomes, we assessed PCP self-reported performance of key depression management behaviors in primary care in the past 6 months.Key resultsResponse rate was 52 % overall, with 47 % attending physicians, 34 % residents, and 19 % nurse practitioners and physician assistants. Half (52 %) reported greater than eight veterans with depression in their panels and a MHS collocated in primary care (50 %). Seven of the eight clinics had a DCM. In multivariable analysis, significant predictors for PCP depression management included comfort, difficulty, co-management with MHSs and numbers of veterans with depression in their panels.ConclusionsPCPs who felt greater ease and comfort in managing depression, co-managed with MHSs, and reported higher depression caseloads, were more likely to report performing depression management behaviors. Neither a collocated MHS, collaborating with a MHS, nor co-managing with a DCM independently predicted PCP depression management. Because the success of collaborative care for depression depends on the ability and willingness of PCPs to engage in managing depression themselves, along with other providers, more research is necessary to understand how to engage PCPs in depression management.

Project description:BackgroundWomen veterans who use the Veterans Affairs Healthcare System theoretically have access to the full range of contraceptive methods. This study explores match between currently used and self-reported "ideal" methods as a potential marker of contraceptive access and preference matching.MethodsThis mixed methods study uses data from a nationally representative survey of reproductive-aged women veterans who use the Veterans Affairs Healthcare System for primary care, including 979 participants at risk of unintended pregnancy. Women reported all contraceptive methods used in the past month and were asked, "If you could choose any method of contraception or birth control to prevent pregnancy, what would be your ideal choice?" and selected a single "ideal" method. If applicable, participants were additionally asked, "Why aren't you currently using this method of contraception?" We used adjusted logistic regression to identify patient-, provider-, and system-level factors associated with ideal-current method match. We qualitatively analyzed open-ended responses about reasons for ideal method nonuse.ResultsOverall, 58% were currently using their ideal method; match was greatest among women selecting an IUD as ideal (73%). Non-White race/ethnicity (adjusted odds ratio, 0.68; 95% confidence interval, 0.52-0.89) and mental illness (adjusted odds ratio, 0.69; 95% confidence interval, 0.52-0.92) were negatively associated with ideal-current match in adjusted analyses; the presence of a gynecologist at the primary care site was associated with an increased odds of match (adjusted odds ratio, 1.35; 95% confidence interval, 1.03-1.75). Modifiable barriers to ideal method use were cited by 23% of women, including access issues, cost concerns, and provider-level barriers; 79% of responses included nonmodifiable reasons for mismatch including relationship factors and pregnancy plans incongruent with ideal method use, suggesting limitations of our measure based on differential interpretation of the word "ideal."ConclusionsMany women veterans are not currently using the contraceptive method they consider ideal. Results emphasize the complexity of contraceptive method selection and of measuring contraceptive preference matching.

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Template matching for benchmarking hospital performance in the veterans affairs healthcare system.

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Template matching for benchmarking hospital performance in the veterans affairs healthcare system.

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