Literature DB >> 35802231

Hospital mortality and length of stay differences in emergency medical admissions related to 'on-call' specialty.

Richard P Conway1,2, Declan G Byrne3, Deirdre M R O'Riordan3, Bernard Silke3.   

Abstract

BACKGROUND: The outcomes of acute medical admissions have been shown to be influenced by a variety of factors including system, patient, societal, and physician-specific differences. AIM: To evaluate the influence of on-call specialty on outcomes in acute medical admissions.
METHODS: All acute medical admissions to our institution from 2015 to 2020 were evaluated. Admissions were grouped based on admitting specialty. Thirty-day in-hospital mortality and length of stay (LOS) were evaluated. Data was analysed using multivariable logistic regression and truncated Poisson regression modelling.
RESULTS: There were 50,347 admissions in 30,228 patients. The majority of admissions were under Acute Medicine (47.0%), and major medical subspecialties (36.1%); Elderly Care admitted 12.1%. Acute Medicine admissions were older at 72.9 years (IQR 57.0, 82.9) vs. 67.2 years (IQR 50.1, 80.2), had higher Acute Illness Severity (grades 4-6: 85.9% vs. 81.3%; p < 0.001), Charlson Index (> group 0; 61.5% vs. 54.6%; p < 0.001), and Comorbidity Score (40.7% vs. 36.7%; p < 0.001). Over time, there was a small (+ 8%) but significant increase in 30-day in-hospital mortality. Mortality rates for Acute Medicine, major medical specialties, and Elderly Care were not different at 5.1% (95% CI: 4.7, 5.5), 4.7% (95% CI: 4.3, 5.1), and 4.7% (95% CI: 3.9, 5.4), respectively. Elderly Care admissions had shorter LOS (7.8 days (95% CI: 7.6, 8.0)) compared with either Acute Medicine (8.7 days (95% CI: 8.6, 8.8)) or major medical specialties (8.7 days (95% CI: 8.6, 8.9)).
CONCLUSION: No difference in mortality and minor differences in LOS were observed. The prior pattern of improved outcomes year on year for emergency medical admissions appears ended.
© 2022. The Author(s).

Entities:  

Keywords:  Acute medicine; Admissions; Length of stay; Mortality; Speciality

Year:  2022        PMID: 35802231     DOI: 10.1007/s11845-022-03084-w

Source DB:  PubMed          Journal:  Ir J Med Sci        ISSN: 0021-1265            Impact factor:   1.568


  2 in total

1.  Demographic profile of the elderly population in Dublin accident and emergency hospital catchment areas.

Authors:  J B Walsh; D Coakley; C Murphy; J D Coakley; E Boyle; H Johnson
Journal:  Ir Med J       Date:  2004-03

2.  A critical evaluation of HIPE data.

Authors:  A O'Callaghan; M P Colgan; C McGuigan; F Smyth; N Haider; S O'Neill; D Moore; P Madhavan
Journal:  Ir Med J       Date:  2012-01
  2 in total

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