RESUMO
OBJECTIVE: Critical care transport (CCT) supports regionalization of medical care. Focus on the quality of CCT care prompted the development of the Ground and Air Medical qUality in Transport (GAMUT) Quality Improvement collaborative database which tracks consensus quality metrics. The Institute of Medicine recommends benchmarking of comparative data to accelerate improvement. Herein, we report the strategies and rationale for GAMUT QI Collaborative benchmarking. METHODS: The GAMUT database includes >350 programs internationally with >200,000 annual patient contacts. Evidence-based literature review performed in May 2016 and October 2017 identified benchmarking strategies were evaluated and summarized, specific to the GAMUT metrics. Statistical analyses include simple statistics and weighted expectation calculations for benchmark examples (Pearson chi-square with Bonferroni adjusted post-hoc z tests). RESULTS: Evidence-based literature search yielded 70 articles, and 31 were selected for inclusion in our evidence table. 5 evidence-based benchmark strategies were considered: average (mean), average (median), adjusted benchmark (based on expected outcome), Achievable Benchmark of Care (ABC), and Delphi. ABC threshold establishes a higher target (90th percentile) forcing more programs to achieve higher performance. CONCLUSION: Benchmarking is not well-suited for a single strategy and requires customized consideration based on each metric, though adjusted benchmark and ABC generally set higher performance benchmarks.
