Do Geographical Locations Affect in Hospitals Performance? A Multi-group Data Envelopment Analysis

Rezaee, Mustafa Jahangoshai; Karimdadi, Abuzar

doi:10.1007/s10916-015-0278-3

Cited by 28 publications

(14 citation statements)

References 29 publications

(20 reference statements)

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“…physicians, bedBUR, BTR, surgery, births, outpatient inpatient days, discharge.DEA, MPIcorrelations, mean differences926Hatam et al [31]2010Iran21Bed, physicians. Nurses, other personnelBOR, bed, patient admissions, OBD, ALS, BTRDEA, MPINA627Mehrtak et al [32]2014Iran18Bed, physician, nurse, other professionalsSurgeries, discharges, BORDEA, Pabon LassoNA778Kalhor et al [33]2016Iran54Doctors, nurses, medical personnel, beds.Patients days, outpatient, surgery, ALS.DEAGroup comparison859Rezaee and Karimdadi [34]2015Iran288Health personals, equipment, bedInpatient, outpatient, special patients, bed, BORDEANA4210Shahhoseini et al [35]2011Iran12Physician, nurse, other staff, bedinpatient days, ALS, BOR, outpatient, operationsDEANA7511Ozgen Narci et al [36]2015Turkey1103Bed, specialist, general doctor, nurse, and other employees.Discharges, day-care, surgeries, outpatient, emergency careDEAMultivariate Tobit regression6912Sahin and Ozcan [37]…”

Section: Resultsmentioning

confidence: 99%

Systematic review and meta-analysis of public hospital efficiency studies in Gulf region and selected countries in similar settings

Alatawi

Ahmed

Niessen

et al. 2019

Cost Eff Resour Alloc

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Background The assessment of hospital efficiency is attracting interest worldwide, particularly in Gulf Cooperation Council (GCC) countries. The objective of this study was to review the literature on public hospital efficiency and synthesise the findings in GCC countries and comparable settings. Methods We systematically searched six scientific databases, references and grey literature for studies that measured the efficiency of public hospitals in appropriate countries, and followed PRISMA guidelines to present the results. We summarised the included studies in terms of samples, methods/technologies and findings, then assessed their quality. We meta-analysed the efficiency estimates using Spearman’s rank correlations and logistic regression, to examine the internal validity of the findings. Results We identified and meta-analysed 22 of 1128 studies. Four studies were conducted in GCC nations, 18 came from Iran and Turkey. The pooled technical-efficiency (TE) was 0.792 (SE ± 0.03). There were considerable variations in model specification, analysis orientation and variables used in the studies, which influenced efficiency estimates. The studies lacked some elements required in quality appraisal, achieving an average of 73%. Meta-analysis showed negative correlations between sample size and efficiency scores; the odd ratio was 0.081 (CI 0.005: 1.300; P value = 0.07) at 10% risk level. The choice of model orientation was significantly influenced (82%) by the studied countries’ income categories, which was compatible with the strategic plans of these countries. Conclusions The studies showed methodological and qualitative deficiencies that limited their credibility. Our review suggested that methodology and assumption choices have a substantial impact on efficiency measurements. Given the GCC countries’ strategic plans and resource allocations, these nations need further efficiency research using high-quality data, different orientations and developed models. This will establish an evidence-based knowledge base appropriate for use in public hospital assessments, policy- and decision-making and the assurance of value for money.

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Section: Resultsmentioning

confidence: 99%

Systematic review and meta-analysis of public hospital efficiency studies in Gulf region and selected countries in similar settings

Alatawi

Ahmed

Niessen

et al. 2019

Cost Eff Resour Alloc

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“…Bayesian analysis was used to generate a statistical model and create a simulation platform to analyse data of alternatives, and then calculated the efficiency scores of hospitals using the DEA model. Rezaee and Karimdadi (2015) examined the effect of geographical location on the hospital performance. They categorised hospitals into different groups by province.…”

Section: Literature Reviewmentioning

confidence: 99%

A novel DEA model for hospital performance evaluation based on the measurement of efficiency, effectiveness, and productivity

Ghahremanloo

Hasani

Amiri

et al. 2019

Engineering Management in Production and Services

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Hospitals are the most important and costly component of the healthcare system. Therefore, hospital performance evaluation (HPE) is an important issue for the managers of these centres. This paper presents a new approach for HPE that can be used to calculate the efficiency, effectiveness, and productivity of hospitals simultaneously. Efficiency refers to the ratio of inputs and outputs, effectiveness refers to the extent to which outputs align with predetermined goals, and productivity refers to the sum of both efficiency and effectiveness. To this end, a Data Envelopment Analysis (DEA) model is developed to simultaneously measure the efficiency, effectiveness, and productivity (DEA-EEP) of hospitals. DEA is a linear programming technique that in its traditional form, calculates the performance of similar decision-making units (DMUs) that have both inputs and outputs. In this study, the inputs are the number of health workers, the number of other staff, and the number of patient beds; while the outputs are the bed occupancy rate and the bed turnover rate. A target value is set for each output to measure the effectiveness of hospitals. The advantage of the developed model is the ability to provide a solution for non-productive units so that they can improve their performance by changing their inputs and outputs. In the case study, data of 11 hospitals in Tehran were evaluated for a 3-year period. Based on the results, some hospitals experienced an upward trend in the period, but the efficiency, effectiveness, and productivity scores of most hospitals fluctuated and did not have a growing trend. This indicates that although most hospitals sought to improve the quality of their services, they needed to take more serious steps.

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“… 26 Hospital performance refers to the performance and efficiency of the hospital, and the performance appraisal is the quantitative and qualitative assessment to operating conditions, operating efficiency of hospitals in a certain period of time. 27 - 30 In fact, the hospital performance evaluation is mostly based on achieving the organization’s goals; therefore, the index selection of the performance evaluation system should take the function of the hospital, service content, performance status, financial status, and the government demand into consideration, mostly for administration purposes. In view of which, the operation index of evaluation was associated with the traditional hospital performance evaluation but differed from the latter which laid an emphasis on the appraisal of the operation and management of public medical institutions.…”

Section: Discussionmentioning

confidence: 99%

Longitudinal Evaluation on the Operation Index Applied to Public Hospitals in Pudong New District of Shanghai, China

Liu

Huang

et al. 2018

INQUIRY

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The public hospital reform has lasted 5 years in China; however, the operation development status and trends of public hospitals have not been systematically evaluated in Pudong New District. We first applied the technology of longitudinal index to assess the development of public hospitals there. The quantitative data were mainly gathered by taking health statistics database from 2009 to 2014. The results showed that overall operating index presented a down-up trend, with the highest point in 2014 and the lowest point in 2012. Overall operating index, development foundation index, and management condition index were found to be statistically different (P = .010, P = .016, P = .031) in different years, whereas the service operation index and financial risk index were not so (P = .543, P = .228). Moreover, the results demonstrated that no obvious difference was observed in the overall operating index between the general and specialized hospitals (P = .327), which was the same in the 4 first-class indexes. However, there were statistical differences in the overall operating index and development foundation index among these 5 years (P = .018, P = .036), but none in the service operation index, management condition index, and financial risk index (P = .503, P = .062, P = .177). No interaction effects were discovered between year and hospital categories in the current study (P = .673, P = .375, P = .885, P = .152, P = .288).

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Do Geographical Locations Affect in Hospitals Performance? A Multi-group Data Envelopment Analysis

Cited by 28 publications

References 29 publications

Systematic review and meta-analysis of public hospital efficiency studies in Gulf region and selected countries in similar settings

Systematic review and meta-analysis of public hospital efficiency studies in Gulf region and selected countries in similar settings

A novel DEA model for hospital performance evaluation based on the measurement of efficiency, effectiveness, and productivity

Longitudinal Evaluation on the Operation Index Applied to Public Hospitals in Pudong New District of Shanghai, China

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