A performance assessment method for hospitals: The case of municipal hospitals in Angola

Joses M. Kirigia*, Ali Emrouznejad, Basilio Cassoma, Eyob Z. Asbu, Saidou Barry

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Over 60% of the recurrent budget of the Ministry of Health in Angola is spent on the operations of the fixed healthcare facilities (health centres and hospitals). However, to date, no study has been attempted to investigate how efficiently those resources are used to produce health services. Therefore, the objectives of this study were to assess the technical efficiency of public municipal hospitals in Angola; assess changes in productivity over time with a view to analysing changes in efficiency and technology; and demonstrate how the results can be used in the pursuit of the public health objective of promoting efficiency in the use of health resources. The analysis was based on a three year panel data from all the 28 public municipal hospitals in Angola. Data envelopment analysis, a non parametric linear programming approach, was employed to assess the technical and scale efficiency and productivity change over time using Malmquist index. The results show that, on average, productivity of municipal hospitals in Angola increased by 4.5% over the period 2000 2002 and that growth was due to improvement in efficiency rather than innovation.

Original languageEnglish
Title of host publicationEfficiency of Health System Units in Africa
Subtitle of host publicationA Data Envelopment Analysis
Pages291-311
Number of pages21
ISBN (Electronic)9789966792426
Publication statusPublished - 1 Jan 2013

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Keywords

  • Angola/Africa
  • Data envelopment analysis
  • Efficiency and productivity
  • Hospital performance comparison
  • Malmquist indices

Cite this

Kirigia, J. M., Emrouznejad, A., Cassoma, B., Asbu, E. Z., & Barry, S. (2013). A performance assessment method for hospitals: The case of municipal hospitals in Angola. In Efficiency of Health System Units in Africa: A Data Envelopment Analysis (pp. 291-311)