Impact of a hospital policy to redistribute admission flow across clinical services for capacity relief during COVID‐19 surges

Author:

Safavi Kyan C.1ORCID,Copenhaver Martin S.1ORCID,Moore Amber2,Bravard Marjory A.2ORCID,Britton O'Neil3,Dunn Peter1

Affiliation:

1. Healthcare Systems Engineering, Massachusetts General Hospital Harvard Medical School Boston Massachusetts USA

2. Department of Medicine, Massachusetts General Hospital Harvard Medical School Boston Massachusetts USA

3. Mass General Brigham Harvard Medical School Boston Massachusetts USA

Abstract

AbstractBackgroundIncreased hospital admissions due to COVID‐19 place a disproportionate strain on inpatient general medicine service (GMS) capacity compared to other services.ObjectiveTo study the impact on capacity and safety of a hospital‐wide policy to redistribute admissions from GMS to non‐GMS based on admitting diagnosis during surge periods.Design, Setting, and ParticipantsRetrospective case‐controlled study at a large teaching hospital. The intervention included adult patients admitted to general care wards during two surge periods (January–February 2021 and 2022) whose admission diagnosis was impacted by the policy. The control cohort included admissions during a matched number of days preceding the intervention.Main Outcomes and MeasuresCapacity measures included average daily admissions and hospital census occupied on GMS. Safety measures included length of stay (LOS) and adverse outcomes (death, rapid response, floor‐to‐intensive care unit transfer, and 30‐day readmission).ResultsIn the control cohort, there were 365 encounters with 299 (81.9%) GMS admissions and 66 (18.1%) non‐GMS versus the intervention with 384 encounters, including 94 (24.5%) GMS admissions and 290 (75.5%) non‐GMS (p < .001). The average GMS census decreased from 17.9 and 21.5 during control periods to 5.5 and 8.5 during intervention periods. An interrupted time series analysis confirmed a decrease in GMS daily admissions (p < .001) and average daily hospital census (p = .014; p < .001). There were no significant differences in LOS (5.9 vs. 5.9 days, p = .059) or adverse outcomes (53, 14.5% vs. 63, 16.4%; p = .482).ConclusionAdmission redistribution based on diagnosis is a safe lever to reduce capacity strain on GMS during COVID‐19 surges.

Publisher

Wiley

Subject

Assessment and Diagnosis,Care Planning,Health Policy,Fundamentals and skills,General Medicine,Leadership and Management

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