TABLE 4.

Technical and Allocative Efficiency Gaps in Kayes Region, Mali, 2015

Health DistrictRural Population [A]Covered Population [B]Number of CHW [C]Average Spending per CHW, US$ [D]Actual Spending on Covered Population, US$ [E] = [C] x [D]Normative Cost for Covered Population, US$ [F]Technical Efficiency Surplus (Deficit), US$ [G] = [E] − [F]Normative Cost for Rural Population, US$ [H] = [F] / [B] x [A]Allocative Efficiency Surplus (Deficit), US$ [I] = [E] − [H]
Kayes210,22861,361459,213.44414,604.77196,305.62218,299.15672,559.72(257,954.96)
Bafoulabe77,33233,009349,213.44313,256.9499,135.01214,121.93232,249.0381,007.91
Diema99,19936,222279,213.44248,762.86184,383.3164,379.55504,959.41(256,196.55)
Kenieba106,73218,313149,213.44128,988.1546,319.4482,668.71269,959.42(140,971.27)
Kita267,63582,779829,213.44755,502.02117,566.54637,935.49380,107.51375,394.51
Nioro102,44414,55489,213.4473,707.5136,937.5036,770.02259,998.97(186,291.46)
Yelimane42,04314,584139,213.44119,774.7121,981.8597,792.8663,369.6556,405.06
Oussoubidiagna55,67625,957259,213.44230,335.9849,890.50180,445.48107,011.73123,324.26
  • Abbreviations: CHW, community health worker; ECC, essential community care.

  • a Estimated by dividing the actual number of services provided by the expected number of services.

  • b Total time required to provide each service is calculated by multiplying the expected time spent on service (in minutes) by the reported service volume for the year. The estimates are then converted in CHW hours.

  • c Percentage of CHW time available spent on services is calculated by dividing the total time required to provide the services reported for the year and the total time available for providing EC.