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. 2016 Jun;40(6):1344-51.
doi: 10.1007/s00268-016-3417-1.

The Surgical Workforce and Surgical Provider Productivity in Sierra Leone: A Countrywide Inventory

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The Surgical Workforce and Surgical Provider Productivity in Sierra Leone: A Countrywide Inventory

Håkon A Bolkan et al. World J Surg. 2016 Jun.

Abstract

Background: Limited data exist on surgical providers and their scope of practice in low-income countries (LICs). The aim of this study was to assess the distribution and productivity of all surgical providers in an LIC, and to evaluate correlations between the surgical workforce availability, productivity, rates, and volume of surgery at the district and hospital levels.

Methods: Data on surgeries and surgical providers from 56 (93.3 %) out of 60 healthcare facilities providing surgery in Sierra Leone in 2012 were retrieved between January and May 2013 from operation theater logbooks and through interviews with key informants.

Results: The Sierra Leonean surgical workforce consisted of 164 full-time positions, equal to 2.7 surgical providers/100,000 inhabitants. Non-specialists performed 52.8 % of all surgeries. In rural areas, the densities of specialists and physicians were 26.8 and 6.3 times lower, respectively, compared with urban areas. The average individual productivity was 2.8 surgeries per week, and varied considerably between the cadres of surgical providers and locations. When excluding four centers that only performed ophthalmic surgery, there was a positive correlation between a facility's volume of surgery and the productivity of its surgical providers (r s = 0.642, p < 0.001).

Conclusions: Less than half of all of the surgery in Sierra Leone is performed by specialists. Surgical providers were significantly more productive in healthcare facilities with higher volumes of surgery. If all surgical providers were as productive as specialists in the private non-profit sector (5.1 procedures/week), the national volume of surgery would increase by 85 %.

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Figures

Fig. 1
Fig. 1
a Correlation between a district’s rate of surgery and surgical provider density. b Correlation between a district’s rate of surgery and surgical provider productivity. c Correlation between a facility’s volume of surgery and its surgical provider productivity

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