Article thumbnail

Analyzing the efficiency differences among basic health units in Sargodha District

By Touqeer Abbas, Masood Sarwar Awan, Muhammad Amir Aslam and Muhammad Waqas

Abstract

Pakistan has adequate infrastructure for health services delivery at primary level. The study aims to calculate the technical efficiency of Basic Health Units (BHUs) in Sargodha by using the Data Envelopment Analysis (DEA) with the choice of inputs and outputs being specific to BHUs operation. DEA model results reveals that the mean technical efficiency under, Constant Returns to Scale (CRS) and Variable Returns to Scale (VRS) was 0.719 and 0.807 while the mean scale efficiency was 0.88. Study exposed that 77 % BHUs were technically inefficient under CRS while 66 % BHUs were technically inefficient under VRS modal. Overall 76% BHUs were inefficient and destructing the infrastructure. Moreover, findings evidently point to adverse inefficiency of BHUs in health services delivery. Study concluded that existing high level of inefficiency in BHUs needs institutional fascination for scaling up BHUs to meet both regional as well international targets such as Millennium Development Goals (MDGs) and recommended such measures that may curb the waste.Basic Health Units, Technical Efficiency, Data Envelopment Analysis, Pakistan

OAI identifier:

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.

Suggested articles

Citations

  1. (1986). A Comparative Application of Data Envelopment Analysis and Translog Methods: An illustrative study of hospital production”,
  2. (2008). Assessing hospital efficiency: Non-parametric evidence for Portugal. Working paper,
  3. (2008). Assessing the Efficiency of Rural Health Centers in Burkina Faso: An Application of Data Envelopment Analysis,
  4. (2009). Environmental Factors and Productivity on Dutch Hospitals: A Semi-Parametric Approach.
  5. (2006). Evaluating Technical Efficiency of Primary Health Care in the Governments of Chile. Working paper,
  6. (2009). Failure Analysis of Primary Health Care in Pakistan & Recommendations for change (Research Report). Insaf Research Wing.
  7. (2005). Health Facilities (BHUs).
  8. (2009). Hospital Competition, Technical Efficiency, and Quality. Working Paper, Melbourne Institute Series.
  9. (1978). Measuring the Efficiency of Decision-Making Units.
  10. Multiple Indicator Cluster Survey Report,
  11. (1984). Some Models for Estimating Technical and Scale efficiencies in Data Envelopment Analysis.
  12. (2010). Technical Efficiency and Scale Efficiency of District Hospitals.
  13. (2006). Technical efficiency of district hospitals: Evidence from Namibia using Data Envelopment Analysis, Cost Effectiveness and Resource Allocation,
  14. (2005). Technical efficiency of peripheral health units in Pujehun district of Sera Leaone: A DEA application,
  15. (2010). Technical Efficiency of Sudan’s Health Institutions: A State-level Analysis.
  16. (1957). The Measurement of Productive Efficiency.
  17. (2008). Using Data Envelopment Analysis to Measure the Extent of