Introduction <p>The Lancet Commission on Global Surgery highlights perioperative mortality rate (POMR) as a key indicator of a nation’s surgical system effectiveness. While POMR is often measured in high-income countries, it is less studied in low- and middle-income countries (LMICs). This study aims to assess the POMR and its predictors in Ethiopia.</p> Methods <p>We conducted a thorough literature search across PubMed/MEDLINE, Embase, Web of Science, Scopus, and Google Scholar for studies from Ethiopia between 2019 and 2023 reporting POMR for various surgical procedures. Data were extracted in duplicate from eligible studies. We used random-effects meta-analysis to pool estimates of POMR and its predictors.</p> Results <p>The meta-analysis revealed a POMR of 5.36%. Identified predictors of perioperative mortality in Ethiopia included older age, comorbidities, ICU admission, and an ASA physical status classification of III or higher and emergency surgeries.</p> Conclusion <p>Ethiopia’s perioperative mortality rate is significantly high. Improving surgical care quality and safety, along with expanding access to surgical services, is crucial for bettering surgical outcomes in the country.</p>

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Incidence and predictors of perioperative mortality in Ethiopia: a systematic review and meta-analysis

  • Tikuneh Yetneberk,
  • Diriba Teshome,
  • Abebe Tiruneh,
  • Yohannes A. Dersesh,
  • Nega Getachew,
  • Moges Gelaw,
  • Meseret Firde

摘要

Introduction

The Lancet Commission on Global Surgery highlights perioperative mortality rate (POMR) as a key indicator of a nation’s surgical system effectiveness. While POMR is often measured in high-income countries, it is less studied in low- and middle-income countries (LMICs). This study aims to assess the POMR and its predictors in Ethiopia.

Methods

We conducted a thorough literature search across PubMed/MEDLINE, Embase, Web of Science, Scopus, and Google Scholar for studies from Ethiopia between 2019 and 2023 reporting POMR for various surgical procedures. Data were extracted in duplicate from eligible studies. We used random-effects meta-analysis to pool estimates of POMR and its predictors.

Results

The meta-analysis revealed a POMR of 5.36%. Identified predictors of perioperative mortality in Ethiopia included older age, comorbidities, ICU admission, and an ASA physical status classification of III or higher and emergency surgeries.

Conclusion

Ethiopia’s perioperative mortality rate is significantly high. Improving surgical care quality and safety, along with expanding access to surgical services, is crucial for bettering surgical outcomes in the country.