Hospital-specific Template Matching for Benchmarking Performance in a Diverse Multihospital System.
Hospital-specific Template Matching for Benchmarking Performance in a Diverse Multihospital System.
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DOI:
10.1097/mlr.0000000000001645
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发表时间:
2021-12-01
期刊:
影响因子:
3
通讯作者:
Prescott HC
中科院分区:
文献类型:
--
作者:
Vincent BM;Molling D;Escobar GJ;Hofer TP;Iwashyna TJ;Liu VX;Rosen AK;Ryan AM;Seelye S;Wiitala WL;Prescott HC
Hospital-specific template matching is a newer method of hospital performance measurement that may be fairer than regression-based benchmarking. However, it has been tested in only limited research settings. To test the feasibility of hospital-specific template matching assessments in the Veterans Affairs (VA) healthcare system and determine power to detect greater-than-expected 30-day mortality. Observational cohort study with hospital-specific template matching assessment. For each VA hospital, 30-day mortality of a representative subset of hospitalizations was compared to the pooled mortality from matched hospitalizations at a set of comparison VA hospitals treating sufficiently similar patients. Simulation was used to determine power to detect greater-than-expected mortality. 556,266 hospitalizations at 122 VA hospitals in 2017. Number of comparison hospitals identified per hospital; 30-day mortality. Each hospital had a median of 38 comparison hospitals (interquartile range: 33, 44) identified, and 116 (95.1%) had at least 20 comparison hospitals. In total, 8 hospitals (6.6%) had a significantly lower 30-day mortality than their benchmark, 5 hospitals (4.1%) had a significantly higher 30-day mortality, and the remaining 109 hospitals (89.3%) were similar to their benchmark. Power to detect a standardized mortality ratio of 2.0 ranged from 72.5%-79.4% for a hospital with the fewest (6) versus most (64) comparison hospitals. Hospital-specific template matching may be feasible for assessing hospital performance in the diverse VA healthcare system, but further refinements are needed to optimize the approach before operational use. Our findings are likely applicable to other large and diverse multi-hospital systems.