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  1. Yangon University of Economics
  1. Yangon University of Economics
  2. Master of Applied Statistics (MAS)

Measuring Efficiency of Public Hospitals in Myanmar (Nan Nan Aung, 2022)

https://meral.edu.mm/records/8492
https://meral.edu.mm/records/8492
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19bcb07d-95a1-4983-96a5-c67e2d5ac78d
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Nan Nan Nan Aung, MAS-11, MAS 3rd Batch V10 (1).pdf (680 KB)
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Title
Title Measuring Efficiency of Public Hospitals in Myanmar (Nan Nan Aung, 2022)
Language en
Publication date 2022-10-01
Authors
Nan Nan Aung
Description
The health care costs are increasing time to time. Enhancing health care productivity is important for the best use of its resources so that the health care costs are efficiently managed. The investment in health care and addressing its efficiency are significant for robust health system. Myanmar has two tiers health system; public and private health sectors to serve the people. The public hospitals occupy 80% of Myanmar health system, it is worthy to study the public hospitals’ efficiency. This study aims to estimate the public hospitals’ technical efficiency and to examine the effects of input variables on technical efficiency. The Cobb- Douglas function and translog production function models were tested for model fit to measure the technical efficiency. The data from seventy-nine public hospitals for the period 2005-2018, over fourteen years were analyzed in which number of patients is dependent variable, and number of health workforce (labor) and number of beds (capital) are explanatory variables. The public hospitals production function has 93 % technical efficiency and the gamma value 0.99 indicates high variabilities in hospital production. This study found that there is substitutability between hospital beds (capital) and midwives, and other health staff (labor). With existing number of doctors and nurses can increase the maximum output of hospital production function. Doubling the number of other health staff contributes to increasing hospital technical efficiency. The findings provide useful information for making decision on strengthening health system by allocating human and capital resources effectively.
Thesis/dissertations
Yangon University of Economics
Daw Khin Thet Tun
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