Evidence map›Paper›PMID 35659234›Full record

ArticleBMC health services research2022

Interpretability, credibility, and usability of hospital-specific template matching versus regression-based hospital performance assessments; a multiple methods study.

Brenda M McGrath, Linda Takamine, Cainnear K Hogan, Timothy P Hofer, Amy K Rosen, Jeremy B Sussman, Wyndy L Wiitala, Andrew M Ryan, Hallie C Prescott

Abstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Brenda M McGrathVA Center for Clinical Management Research, Ann Arbor, MI, USA.
Linda TakamineVA Center for Clinical Management Research, Ann Arbor, MI, USA.
Cainnear K HoganVA Center for Clinical Management Research, Ann Arbor, MI, USA.
Timothy P HoferVA Center for Clinical Management Research, Ann Arbor, MI, USA.
Amy K RosenVA Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, MA, USA.
Jeremy B SussmanVA Center for Clinical Management Research, Ann Arbor, MI, USA.
Wyndy L WiitalaVA Center for Clinical Management Research, Ann Arbor, MI, USA.
Andrew M RyanDepartment of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Hallie C PrescottVA Center for Clinical Management Research, Ann Arbor, MI, USA. hprescot@med.umich.edu.

Funding

Benchmarking Hospital Quality: Template Matching versus Conventional Regression ApproachesI01HX002546 · VA · VETERANS HEALTH ADMINISTRATION · PI PRESCOTT, HALLIE CHRISTINE · 2018 to 2021
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6 · The paper itself

Abstract

backgroundHospital-specific template matching (HS-TM) is a newer method of hospital performance assessment.

objectiveTo assess the interpretability, credibility, and usability of HS-TM-based vs. regression-based performance assessments. RESEARCH

designWe surveyed hospital leaders (January-May 2021) and completed follow-up semi-structured interviews. Surveys included four hypothetical performance assessment vignettes, with method (HS-TM, regression) and hospital mortality randomized. SUBJECTS: Nationwide Veterans Affairs Chiefs of Staff, Medicine, and Hospital Medicine. MEASURES: Correct interpretation; self-rated confidence in interpretation; and self-rated trust in assessment (via survey). Concerns about credibility and main uses (via thematic analysis of interview transcripts).

resultsIn total, 84 participants completed 295 survey vignettes. Respondents correctly interpreted 81.8% HS-TM vs. 56.5% regression assessments, p < 0.001. Respondents "trusted the results" for 70.9% HS-TM vs. 58.2% regression assessments, p = 0.03. Nine concerns about credibility were identified: inadequate capture of case-mix and/or illness severity; inability to account for specialized programs (e.g., transplant center); comparison to geographically disparate hospitals; equating mortality with quality; lack of criterion standards; low power; comparison to dissimilar hospitals; generation of rankings; and lack of transparency. Five concerns were equally relevant to both methods, one more pertinent to HS-TM, and three more pertinent to regression. Assessments were mainly used to trigger further quality evaluation (a "check oil light") and motivate behavior change.

conclusionsHS-TM-based performance assessments were more interpretable and more credible to VA hospital leaders than regression-based assessments. However, leaders had a similar set of concerns related to credibility for both methods and felt both were best used as a screen for further evaluation.

Indexed as

Diagnosis-Related GroupsHospitalsDelivery of Health CareHospital MortalityHumansSurveys and QuestionnairesBenchmarkingHospital mortalityQuality of health careRisk adjustment

Identifiers

PMID35659234
PMCPMC9166576

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.