Impact of a hospital policy to redistribute admission flow across clinical services for capacity relief during COVID-19 surges.
J Hosp Med
; 18(7): 568-575, 2023 07.
Article
em En
| MEDLINE
| ID: mdl-36788630
ABSTRACT
BACKGROUND:
Increased hospital admissions due to COVID-19 place a disproportionate strain on inpatient general medicine service (GMS) capacity compared to other services.OBJECTIVE:
To 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, ANDPARTICIPANTS:
Retrospective 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 ANDMEASURES:
Capacity 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).RESULTS:
In 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).CONCLUSION:
Admission redistribution based on diagnosis is a safe lever to reduce capacity strain on GMS during COVID-19 surges.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Admissão do Paciente
/
COVID-19
Tipo de estudo:
Observational_studies
/
Risk_factors_studies
Limite:
Adult
/
Humans
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article