Hospital‐level variation in risk‐standardized admission rates for emergency care–sensitive conditions among older and younger Veterans

Author:

Cutter Christina M.123ORCID,Tran Linda D.45,Wu Siqi67,Urech Tracy H.7,Seidenfeld Justine89,Kocher Keith E.1231011,Vashi Anita A.71213

Affiliation:

1. Department of Emergency Medicine University of Michigan Ann Arbor Michigan USA

2. Department of Veterans Affairs VA Ann Arbor Healthcare System Ann Arbor Michigan USA

3. Institute for Healthcare Policy and Innovation University of Michigan Ann Arbor Michigan USA

4. Health Economics Resource Center VA Palo Alto Health Care System Palo Alto California USA

5. Stanford Surgery Policy Improvement Research and Education Center Stanford University Stanford California USA

6. Stanford Primary Care and Population Health Stanford University Stanford California USA

7. Center for Innovation to Implementation Palo Alto Veterans Affairs Health Care System Menlo Park California USA

8. Division of Emergency Medicine, Department of Surgery Duke University School of Medicine Durham North Carolina USA

9. Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT) Durham VA Health Care System Durham North Carolina USA

10. Department of Learning Health Sciences University of Michigan Ann Arbor Michigan USA

11. Department of Veterans Affairs Health Services Research & Development VA Center for Clinical Management Research Ann Arbor Michigan USA

12. Department of Emergency Medicine University of California San Francisco San Francisco California USA

13. Department of Emergency Medicine (Affiliated) Stanford University Stanford California USA

Abstract

AbstractObjectivesResearch examining emergency department (ED) admission practices within the Department of Veterans Affairs (VA) is limited. This study investigates facility‐level variation in risk‐standardized admission rates (RSARs) for emergency care–sensitive conditions (ECSCs) among older (≥65 years) and younger (<65 years) Veterans across VA EDs.MethodsVeterans presenting to a VA ED for an ECSC between October 1, 2016 and September 30, 2019 were identified and the 10 most common ECSCs established. ECSC‐specific RSARs were calculated using hierarchical generalized linear models, adjusting for Veteran and encounter characteristics. The interquartile range ratio (IQR ratio) and coefficient of variation were measures of dispersion for each condition and were stratified by age group. Associations with facility characteristics were also examined in condition‐specific multivariable models.ResultsThe overall cohort included 651,336 ED visits across 110 VA facilities for the 10 most common ECSCs—chronic obstructive pulmonary disease (COPD), heart failure, pneumonia, volume depletion, tachyarrhythmias, acute diabetes mellitus, gastrointestinal (GI) bleeding, asthma, sepsis, and myocardial infarction (MI). After adjusting for case mix, the ECSCs with the greatest variation (IQR ratio, coefficient of variation) in RSARs were asthma (1.43, 32.12), COPD (1.39, 24.64), volume depletion (1.38, 23.67), and acute diabetes mellitus (1.28, 17.52), whereas those with the least variation were MI (1.01, 0.87) and sepsis (1.02, 2.41). Condition‐specific RSARs were not qualitatively different between age subgroups. Association with facility characteristics varied across ECSCs and within condition‐specific age subgroups.ConclusionsWe identified unexplained facility‐level variation in RSARs for Veterans presenting with the 10 most common ECSCs to VA EDs. The magnitude of variation did not appear to be qualitatively different between older and younger Veteran subgroups. Variation in RSARs for ECSCs may be an important target for systems‐based levers to improve value in VA emergency care.

Publisher

Wiley

Subject

Emergency Medicine,General Medicine

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