Health care regulation and the operating efficiency of hospitals: Evidence from Taiwan

Chang, Hsihui; Chang, Wen‐Ching; Das, Somnath; Li, Shu Hsing

doi:10.1016/j.jaccpubpol.2004.10.004

Cited by 74 publications

(67 citation statements)

References 42 publications

(57 reference statements)

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“…Therefore, a minor decrease in the number of FTE nurses and active beds in each hospital (with the assumption of stability in other conditions) will result in the improvement of its production power. These findings differ from some international studies (40,41), which can be stemmed from the underuse of standard indices e.g. the ratio of nurses to medical doctors in recruitment decisions in TUMS hospitals (19).…”

Section: Discussioncontrasting

confidence: 99%

Technical Efficiency of Teaching Hospitals in Iran: The Use of Stochastic Frontier Analysis, 1999–2011

Goudarzi

Pourreza

Shokoohi

et al. 2014

Int J Health Policy Manag

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Background: Hospitals are highly resource-dependent settings, which spend a large proportion of healthcare financial resources. The analysis of hospital efficiency can provide insight into how scarce resources are used to create health values. This study examines the Technical Efficiency (TE) of 12 teaching hospitals affiliated with Tehran University of Medical Sciences (TUMS) between 1999 and 2011. Methods: The Stochastic Frontier Analysis (SFA) method was applied to estimate the efficiency of TUMS hospitals. A best function, referred to as output and input parameters, was calculated for the hospitals. Number of medical doctors, nurses, and other personnel, active beds, and outpatient admissions were considered as the input variables and number of inpatient admissions as an output variable. Results: The mean level of TE was 59% (ranging from 22 to 81%). During the study period the efficiency increased from 61 to 71%. Outpatient admission, other personnel and medical doctors significantly and positively affected the production (P< 0.05). Concerning the Constant Return to Scale (CRS), an optimal production scale was found, implying that the productions of the hospitals were approximately constant. Conclusion: Findings of this study show a remarkable waste of resources in the TUMS hospital during the decade considered. This warrants policy-makers and top management in TUMS to consider steps to improve the financial management of the university hospitals.

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Section: Discussioncontrasting

confidence: 99%

Technical Efficiency of Teaching Hospitals in Iran: The Use of Stochastic Frontier Analysis, 1999–2011

Goudarzi

Pourreza

Shokoohi

et al. 2014

Int J Health Policy Manag

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show abstract

“…Taken together Hollingsworth (2008) and Shen, Eggleston, Lau, and Schmid (2007) reviewed eleven international studies that have compared all three different types of ownership in terms of efficiency. In four studies public hospitals were found to be less efficient than their counterparts (Zuckerman, Hadley, and Iezzoni 1994;Ferrier and Valdmanis 1996;Brown 2003;Chang, Chang, Das, and Li 2004), while six studies showed that publicly owned hospitals are more efficient than private for-profit and non-profit hospitals (Ozcan, Luke, and Haksever 1992;Burgess and Wilson 1996;Koop, Osiewalski, and Steel 1997;Chirikos and Sear 2000;McKay, Deily, and Dorner 2003;Sari 2003). Burgess and Wilson (1998) found no significant efficiency differences associated with ownership.…”

Section: Empirical Evidencementioning

confidence: 94%

Effects of Ownership on Hospital Efficiency in Germany

Tiemann

Schreyögg

2009

Bus Res

101

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“…The absence of data in developing countries makes applicability of Diagnostic Related Group (DRG) limited (Zere et al, 2006;Pilyavisky and Staat, 2008) -Tanzania being one of the case. Regarding the outputs variables, our study follows the study on the hospitals efficiency by Hu ISSN 1948-5433 2015 and Huang (2004), Chang et al., (2004). Hospitals outputs in this study are proxied by outpatient visits, inpatient days and surgical operation performed.…”

Section: Research In Applied Economicsmentioning

confidence: 99%

Measuring Technical Efficiency of Faith Based Hospitals in Tanzania: An application of Data Envelopment Analysis (DEA)

Bwana

2015

RAE

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By employing data envelopment analysis (DEA), this study examines efficiency of faith-based (private not for profit-PNFP) hospitals in Tanzania. Using data from 15 hospitals, particularly Volunteering Agency Hospitals (VAHs), our study period covered the year 2009-2012. The objective of this study is to determine technical efficiency of Volunteering Agency Hospitals (VAHs) as well as scale efficiency and hence establish how the inefficiency in these hospitals (VAHs) can be reduced in Tanzania. Significance of this Study premises on equipping the hospitals administrators, governing boards, owners as well as healthcare policy makers with relevant information on how to improve hospitals efficiency. Additionally, through deliberating on the generalization of efficiency of the faith-based hospitals the study will add to the existing literatures on the efficiency of religious hospitals particularly in Tanzania.Based on measures of technical efficiency the average efficiency index (for all hospitals) was 0.769 (76.9%) and total number of technically efficient was 4 (26.6%) hospitals. The result shows that, average annual technical efficiency for the VAHs was 59.79% in the year 2009, 60.01% in the year 2010, 57.49% in the year 2011 and 55.08% in the year 2012, which implies that there was no improvement in the technical efficiency. However, most of the hospitals (73.33%) have increasing returns to scale (IRS) which means therefore that, if more resources will be equally allocated to these hospitals (with IRS) there will be proportionate increase in production of health services hence catching up the production frontier.

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Health care regulation and the operating efficiency of hospitals: Evidence from Taiwan

Cited by 74 publications

References 42 publications

Technical Efficiency of Teaching Hospitals in Iran: The Use of Stochastic Frontier Analysis, 1999–2011

Technical Efficiency of Teaching Hospitals in Iran: The Use of Stochastic Frontier Analysis, 1999–2011

Effects of Ownership on Hospital Efficiency in Germany

Measuring Technical Efficiency of Faith Based Hospitals in Tanzania: An application of Data Envelopment Analysis (DEA)

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