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Moving away from the "unit cost". Predicting country-specific average cost curves of VMMC services accounting for variations in service delivery platforms in sub-Saharan Africa.

Sergio Bautista-ArredondoCarlos Pineda-AntunezDiego Cerecero-GarciaDrew B CameronLily AlexanderChris ChiwevuSteven ForsytheMichel TchuencheWilliam H DowJames KahnGabriela B GomezAnna VassallLori A BollingerCarol Levin
Published in: PloS one (2021)
While our study did not produce new empirical data, our results did increase by a tenfold the availability of unit costs estimates for 128 SDPs in 14 priority countries for VMMC. It is to our knowledge, the most comprehensive analysis of VMMC unit costs to date. Furthermore, we provide a proof of concept of the ability to generate predictive cost estimates for settings where empirical data does not exist.
Keyphrases
  • healthcare
  • electronic health record
  • mental health
  • big data
  • primary care
  • data analysis
  • machine learning