Evidence map›Paper›PMID 29866154›Full record

ArticleBMC health services research2018

Estimating technical efficiency of Turkish hospitals: implications for hospital reform initiatives.

Mustafa S Yildiz, Vahé Heboyan, M Mahmud Khan

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Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

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15citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Unravelling heterogeneity in efficiency measurements: a case study of public hospitals in Spain.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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  7. The contribution of resident physicians to hospital productivity.The European journal of health economics : HEPAC : health economics in prevention and care · 2022
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Mustafa S YildizMinistry of Health, Ankara, Turkey.
Vahé HeboyanDepartment of Clinical and Digital Health Sciences, College of Allied Health Sciences, Augusta University, 987 St. Sebastian Way, EC 4314, Augusta, GA, 30912, USA. VHeboyan@augusta.edu.ORCID 0000-0002-4949-7703
M Mahmud KhanDepartment of Health Services Policy & Management, University of South Carolina, Columbia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Government of Turkey has initiated a series of major health reforms in 2003 with an objective of increasing access to health care services and improving efficiency of public and private hospitals. This study attempts to understand the technical efficiency of public and private hospitals in Turkey to better guide hospital reform.

methodsWe use data from 1079 public and private hospitals and translog stochastic production frontier was adopted to estimate technical inefficiency of hospitals.

resultsResults indicate that there is no statistically significant difference in the degree of inefficiency of hospitals by geographic location or its level of economic development. Efficiency scores vary significantly across hospital types with Ministry of Health (MoH) General Hospitals being the most efficient followed by MoH teaching hospitals. Better performance of MoH hospitals may be due to successful implementation of 2003 health reforms in Turkey, which intended to improve resource utilization within and across MoH hospitals. Among MoH hospital types, integrated county hospitals were the least efficient. Since the hospital outcome measure did not include the value of medical training, efficiency scores of university hospitals became relatively low. Wide variability of efficiency scores of private general hospitals implies the existence of both highly efficient and inefficient hospitals in the private sector.

conclusionsEfficiency differences of various hospital types can be leveraged to guide future reforms by emphasizing the strengths of general hospitals and improving the referral system from county hospitals to general hospitals. Encouraging resource sharing across hospitals, as being done by the 2011 reforms, should further improve hospital efficiency. Promoting private hospitals may not necessarily be efficiency enhancing due to high variability of private hospitals in terms of efficiency scores. Similarly, implementation of common productivity standards and quality control measures are likely to improve hospital technical efficiency scores further.

Indexed as

Health Care ReformCross-Sectional StudiesEfficiency, OrganizationalHealth ResourcesHospitals, PrivateHospitals, PublicHumansOrganizational InnovationTurkeyHealth transformation programHospital efficiencyPublic and private hospitalsStochastic frontier modelTurkey

Identifiers

PMID29866154
PMCPMC5987422

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.