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Hospital-specific Template Matching for Benchmarking Performance in a Diverse Multihospital System.

Brenda M Vincent1, Daniel Molling1, Gabriel J Escobar2

  • 1VA Center for Clinical Management Research, Ann Arbor, MI.

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|October 11, 2021
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Summary
This summary is machine-generated.

Hospital-specific template matching shows promise for assessing performance in the Veterans Affairs (VA) health care system. This method may be fairer than traditional benchmarking, though further refinements are needed for operational use.

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Area of Science:

  • Health Services Research
  • Quality Improvement
  • Comparative Effectiveness

Background:

  • Hospital performance measurement is evolving, with newer methods like hospital-specific template matching proposed as fairer alternatives to regression-based benchmarking.
  • Existing research on hospital-specific template matching is limited, necessitating further investigation into its applicability and effectiveness.

Purpose of the Study:

  • To evaluate the feasibility of implementing hospital-specific template matching for performance assessments within the Veterans Affairs (VA) health care system.
  • To determine the statistical power of this method to detect significant variations in 30-day mortality rates.

Main Methods:

  • An observational cohort study utilizing hospital-specific template matching was conducted.
  • 30-day mortality for hospitalizations in each VA hospital was compared against pooled mortality from matched hospitalizations at similar VA hospitals.
  • Simulations were employed to assess the power to detect greater-than-expected mortality.

Main Results:

  • The study included 556,266 hospitalizations across 122 VA hospitals in 2017.
  • Most hospitals (89.3%) showed no significant difference in 30-day mortality compared to their matched benchmarks.
  • A small proportion of hospitals had significantly lower (6.6%) or higher (4.1%) mortality rates.

Conclusions:

  • Hospital-specific template matching appears feasible for performance assessment in the diverse VA system, but requires further refinement for operational deployment.
  • The findings suggest this methodology could be applicable to other large, diverse multihospital systems.