Assessing primary care performance in Indonesia: An application of frontier analysis techniques

Firdaus Hafidz (), Tim Ensor and Sandy Tubeuf
Additional contact information
Firdaus Hafidz: Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds
Tim Ensor: Leeds Institute of Health Sciences, University of Leeds

No 1703, Working Papers from Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds

Abstract: Despite increased national health expenditure in health facilities in Indonesia, health outcomes remain low. The aim of our study is to examine the factors determining the relative efficiency of public primary care facilities. Using linked national data sources from facility-, households, and village-based surveys, we measure the efficiency of 185 primary care facilities across fifteen provinces in Indonesia with output oriented data envelopment analysis (DEA) and stochastic frontier analysis (SFA). Inputs include the number of doctors, midwife and nurses, and other staff while outputs are the number of outpatients and maternal child health patients. We run truncated regression in second stage DEA and one stage SFA analysis to assess contextual characteristics influencing health facilities performance. Our results indicate a wide variation in efficiency between health facilities. High-performing primary care facilities are in affluent areas. Primary care facilities located in urban areas, in Java and Bali Island, with high coverage of insurance scheme for the poor perform better than other geographical location.We find an inconclusive impact of quality of care, patient mix, and availability of inpatient services on efficiency. This paper concludes by highlighting the characteristics of primary care facilities that have the potential to increase efficiency.

Keywords: Efficiency; Primary care facilities; frontier analysis; data envelopment analysis; stochastic frontier analysis; Indonesia (search for similar items in EconPapers)
JEL-codes: C50 I10 (search for similar items in EconPapers)
Pages: 35 pages
Date: 2017
New Economics Papers: this item is included in nep-cse, nep-dev, nep-eff, nep-hea and nep-sea
References: Add references at CitEc
Citations:

Downloads: (external link)
http://medhealth.leeds.ac.uk/downloads/file/3734/wp17-03 First version, 2011 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 500 Can't connect to medicinehealth.leeds.ac.ukdownloads:443 (No such host is known. ) (http://medhealth.leeds.ac.uk/downloads/file/3734/wp17-03 [301 Moved Permanently]--> https://medicinehealth.leeds.ac.ukdownloads/file/3734/wp17-03)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:lee:wpaper:1703

Access Statistics for this paper

More papers in Working Papers from Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds Contact information at EDIRC.
Bibliographic data for series maintained by Judy Wright ().