Assessment of surgical, anesthesia, and obstetric workforce in Somalia

World J Surg. 2024 Sep;48(9):2199-2206. doi: 10.1002/wjs.12283. Epub 2024 Jul 16.

Abstract

Background: One of the core indicators recommended by the Lancet Commission is surgical workforce density, aiming to improve the number of surgery, anesthetists, and obstetric (SAO) providers to 20 per 100,000 population by 2030. We assessed SAO workforce capacity in Somalia and made recommendations for improvement.

Method: A cross-sectional study was conducted using a structured questionnaire from the WHO Program for Global Surgery and Social Change (PGSSC) Surgical Assessment Tool. All hospitals that offer surgical care services were included. A descriptive analysis was conducted using the statistical software SPSS.

Results: Of the 55 surveyed facilities providing surgical care services, 28 (50.9%) were public, mainly in urban areas. We found that there were 474 SAO specialists and non-specialists (SAO providers) and 446 other important personnel (e.g., midwives, radiologists, and pathologists). Out of 474 SAOs, Banadir had 288. Overall, surgery specialties were the most prevalent profession among SAO providers' workforce, accounting for 160 (33.7%) surgery specialists, with 1.2 per 100,000 population. The six states of Somalia have 54 OB/GYN specialists (0.4 per 100,000 population). There were a total of 22 anesthesia specialists, with a ratio of 0.2 anesthesia specialists per 100,000 population.

Conclusion: We found a serious shortage of the SAO workforce in Somalia, and it is unlikely to meet the 2030 Lancet Commission on Global Surgery targets. There is a need for additional training of SAO providers who can offer effective leadership in surgical care services to combat the extremely avoidable surgical-related morbidities and mortalities.

Keywords: Somalia; Surgical care services; Surgical workforce.

MeSH terms

  • Anesthesiology / statistics & numerical data
  • Anesthetists / statistics & numerical data
  • Anesthetists / supply & distribution
  • Cross-Sectional Studies
  • Female
  • Health Workforce / statistics & numerical data
  • Humans
  • Obstetrics* / statistics & numerical data
  • Somalia
  • Surveys and Questionnaires
  • Workforce / statistics & numerical data