Literature DB >> 33279838

Underutilization of Operative Capacity at the District Hospital Level in a Resource-Limited Setting.

Jared R Gallaher1, Yonasi Chise2, Rachel Reiss3, Laura N Purcell4, Mphatso Manjolo5, Anthony Charles6.   

Abstract

INTRODUCTION: Improving surgical care in a resource-limited setting requires the optimization of operative capacity, especially at the district hospital level.
METHODS: We conducted an analysis of the acute care surgery registry at Salima District Hospital in Malawi from June 2018 to November 2019. We examined patient characteristics, interventions, and outcomes. Modified Poisson regression modeling was used to identify risk factors for transfer to a tertiary center and mortality of patients transferred to the tertiary center.
RESULTS: Eight hundred eighty-eight patients were analyzed. The most common diagnosis was skin and soft tissue infection (SSTI) at 35.9%. 27.5% of patients were transferred to Salima District Hospital, primarily from health centers, with a third for a diagnosis of SSTI. Debridement of SSTI comprised 59% of performed procedures (n = 241). Of the patients that required exploratory laparotomy, only 11 laparotomies were performed, with 59 patients transferred to a tertiary hospital. The need for laparotomy conferred an adjusted risk ratio (RR) of 10.1 (95% confidence interval [CI] 7.1, 14.3) for transfer to the central hospital. At the central hospital, for patients who needed urgent abdominal exploration, surgery had a 0.16 RR of mortality (95% CI 0.05, 0.50) while time to evaluation greater than 48 h at the central hospital had a 2.81 RR of death (95% CI 1.19, 6.66).
CONCLUSIONS: Despite available capacity, laparotomy was rarely performed at this district hospital, and delays in care led to a higher mortality. Optimization of the district and health center surgical ecosystems is imperative to improve surgical access in Malawi and improve patient outcomes.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  General surgery; Sub-Saharan Africa; Transfers

Year:  2020        PMID: 33279838      PMCID: PMC7897230          DOI: 10.1016/j.jss.2020.11.031

Source DB:  PubMed          Journal:  J Surg Res        ISSN: 0022-4804            Impact factor:   2.192


  30 in total

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  2 in total

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