Performance evaluation of nonhomogeneous hospitals: the case of Hong Kong hospitals

Li, Yongjun; Lei, Xiyang; Morton, Alec

doi:10.1007/s10729-018-9433-y

Cited by 33 publications

(31 citation statements)

References 39 publications

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“…Among the application-oriented papers, Huang et al (2016) presents a study on the evaluation of hotels in Taiwan with non-homogeneity in hotel types where the hotels are divided into two non-homogeneous groups. Li et al (2018) is an application paper that deals with efficiency evaluation of non-homogeneous Hong Kong hospitals. Sun et al (2017) presents an application of heterogeneous DEA models in performance evaluation of bank systems.…”

Section: Methodsmentioning

confidence: 99%

Data Envelopment Analysis Models in Non-Homogeneous Environment

Jablonský¹

2019

Acta Univ. Agric. Silvic. Mendelianae Brun.

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Data envelopment analysis (DEA) is a non-parametric method that is widely used for relative efficiency and performance evaluation of the set of decision-making units (DMUs). It is based on maximization of a weighted sum of outputs produced by the unit under evaluation divided by the weighted sum of inputs of the same unit, and the assumption that this ratio for all other units has to be lower or equal to 1. An important assumption for applications of DEA models is the homogeneity of the units. Unfortunately, the homogeneity assumption is not fulfilled in many real applications. The paper deals with the analysis of efficiency using DEA models in the non-homogeneous environment. One of the problems lies in non-homogeneous outputs. In this case, the units under evaluation spend the same inputs but produce completely or at least partly different set of outputs. The paper formulates several models how to deal with this problem and compares the results on a numerical example. Other main sources of non-homogeneity are discussed as an excellent possible starting point for future research.

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Section: Methodsmentioning

confidence: 99%

Data Envelopment Analysis Models in Non-Homogeneous Environment

Jablonský¹

2019

Acta Univ. Agric. Silvic. Mendelianae Brun.

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“…Moreover, DEA gives the required information to move the inefficient DMUs to the efficient frontier [3]. DEA has been applied in various areas and applications such as sports [17,25], research and development (R&D) [1], banks [10], and hospitals [18].…”

Section: Introductionmentioning

confidence: 99%

Efficiency, RTS, and marginal returns from salary on the performance of the NBA players: A parallel DEA network with shared inputs

Assani

Mansoor

Asghar

et al. 2022

JIMO

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National Basketball Association (NBA) is one of the popular sports leagues worldwide and is also a business source that generates enormous financial resources. Generally, the salary of sports players is associated with their performance in the field. However, the NBA players' performance in the game is related to specific technical features in the offensive and defensive activities. This paper aims to measure the impact of NBA players' salary on their efficiency levels using a big data set of eleven seasons (2604 players from 2005 to 2016) by considering the players' performance in offensive and defensive activities. First, we propose models to measure players' overall, offensive, and defensive efficiencies based on a non-homogeneous parallel data envelopment analysis (DEA) network. Then, we introduce input-output oriented network models to estimate the marginal returns from salary on the outcomes of both offensive and defensive activities. Results indicated that all players' average overall efficiency is low (63.5%), with 17 efficient players. The offensive efficiency is 12.8% higher than the defensive efficiency. When the impact of salary on offensive (defensive) activity is considered, about 73% (47%) of the players' observations indicate increasing marginal returns, respectively.

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“…Quality issues are a rapidly growing concern in the delivery of hospital services. Hospital financing constitutes the greatest share of health spending, making both policymakers and third-party payers (health insurers) more aware of the efficiency and quality of care delivered in inpatient settings [1,2,3,4]. In this context, a number of outcome-based quality measures have been proposed to assess the value for money in hospital care.…”

Section: Introductionmentioning

confidence: 99%

Prevalence, Reasons, and Predisposing Factors Associated with 30-day Hospital Readmissions in Poland

Kryś

Łyszczarz

Wyszkowska

et al. 2019

IJERPH

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There is a growing interest in quality issues associated with hospital care, with readmissions (rehospitalizations) being one of the main areas of interest. Retrospective data from a 914-bed university hospital in Bydgoszcz, Poland, was used to identify 30-day readmissions in 2015. We developed a catalogue of reasons for rehospitalization and differentiated between planned and unplanned readmissions, as well as those related and unrelated to index (initial) hospitalization. Multilevel logistic regression was used to determine factors associated with readmission risk. A total of 12.5% of patients were readmitted within 30 days of being discharged. The highest readmission rates were identified in pediatric, transplantation, and urology patients. The highest share of readmissions was due to the specific nature of a disease and its routine treatment practice. Almost two-thirds of readmission cases were classified as unplanned and related to the index hospitalization. The following characteristics were associated with a higher risk of rehospitalization: female gender, residing >35 km from the hospital, longer than average and very short stays at index admission, higher comorbidity score, and admission to a high-volume hospital sector. Due to the importance of quality issues in health policy, the topic should be further pursued to identify evidence-based practices that would improve hospitals’ performance.

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Performance evaluation of nonhomogeneous hospitals: the case of Hong Kong hospitals

Cited by 33 publications

References 39 publications

Data Envelopment Analysis Models in Non-Homogeneous Environment

Data Envelopment Analysis Models in Non-Homogeneous Environment

Efficiency, RTS, and marginal returns from salary on the performance of the NBA players: A parallel DEA network with shared inputs

Prevalence, Reasons, and Predisposing Factors Associated with 30-day Hospital Readmissions in Poland

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