Frontier Efficiency Measurement in Health Care: A Review of Empirical Techniques and Selected Applications

Worthington, Andrew C.

doi:10.1177/1077558704263796

Cited by 262 publications

(237 citation statements)

References 55 publications

(133 reference statements)

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“…Useful surveys of this burgeoning literature are provided by Hollingsworth (2003) andWorthington (2004). Some of the relevant papers have considered different types of hospital ownership.…”

Section: Public-and Private-sector Employmentmentioning

confidence: 99%

Public employment and political pressure: The case of French hospitals

Clark

Milcent

2011

Journal of Health Economics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte.

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“…Useful surveys of this burgeoning literature are provided by Hollingsworth (2003) andWorthington (2004). Some of the relevant papers have considered different types of hospital ownership.…”

Section: Public-and Private-sector Employmentmentioning

confidence: 99%

Public employment and political pressure: The case of French hospitals

Clark

Milcent

2011

Journal of Health Economics

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“…According to Farsi et al (2008), Chattopadhyay and Ray (1996) and Worthington (2004), the literature on measuring efficiency in the nursing home industry dates back to the 1980s, and in the earlier econometric studies, the estimated relation reflected an average (based on best-fit) rather than an efficient or frontier cost function. Thus, inefficiencies were confounded with pure random shocks.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Technical and scale efficiency in public and private Irish nursing homes – a bootstrap DEA approach

Luasa

Dineen

Zieba

2016

Health Care Manag Sci

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This article provides methodological and empirical insights into the estimation of technical efficiency in the nursing home sector. Focusing on long-stay care and using primary data, we examine technical and scale efficiency in 39 public and 73 private Irish nursing homes by applying an input-oriented data envelopment analysis (DEA). We employ robust bootstrap methods to validate our nonparametric DEA scores and to integrate the effects of potential determinants in estimating the efficiencies. Both the homogenous and two-stage double bootstrap procedures are used to obtain confidence intervals for the bias-corrected DEA scores. Importantly, the application of the double bootstrap approach affords true DEA technical efficiency scores after adjusting for the effects of ownership, size, case-mix, and other determinants such as location, and quality. Based on our DEA results for variable returns to scale technology, the average technical efficiency score is 62%, and the mean scale efficiency is 88%, with nearly all units operating on the increasing returns to scale part of the production frontier. Moreover, based on the double bootstrap results, Irish nursing homes are less technically efficient, and more scale efficient than the conventional DEA estimates suggest. Regarding the efficiency determinants, in terms of ownership, we find that private facilities are less efficient than the public units. Furthermore, the size of the nursing home has a positive effect, and this reinforces our finding that Irish homes produce at increasing returns to scale. Also, notably, we find that a tendency towards quality improvements can lead to poorer technical efficiency performance.

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“…Since then, DEA has enjoyed numerous healthcare applications. Some studies have provided a comprehensive review of DEA applications in health (Liu et al, 2013b;Hollingsworth 2012;Hollingsworth 2008;Worthington 2004). …”

Section: Dea Applications In Healthcarementioning

confidence: 99%

Assessing the Queuing Process Using Data Envelopment Analysis: an Application in Health Centres

2015

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Queuing is one of the very important criteria for assessing the performance and efficiency of any service industry, including healthcare. Data Envelopment Analysis (DEA) is one of the most widelyused techniques for performance measurement in healthcare. However, no queue management application has been reported in the health-related DEA literature. Most of the studies regarding patient flow systems had the objective of improving an already existing Appointment System. The current study presents a novel application of DEA for assessing the queuing process at an Outpatients' department of a large public hospital in a developing country where appointment systems do not exist.The main aim of the current study is to demonstrate the usefulness of DEA modelling in the evaluation of a queue system. The patient flow pathway considered for this study consists of two stages; consultation with a doctor and pharmacy. The DEA results indicated that waiting times and other related queuing variables included need considerable minimisation at both stages.

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Frontier Efficiency Measurement in Health Care: A Review of Empirical Techniques and Selected Applications

Cited by 262 publications

References 55 publications

Public employment and political pressure: The case of French hospitals

Public employment and political pressure: The case of French hospitals

Technical and scale efficiency in public and private Irish nursing homes – a bootstrap DEA approach

Assessing the Queuing Process Using Data Envelopment Analysis: an Application in Health Centres

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