Technical Efficiency of District Hospitals in Afghanistan: a Data Envelopment Analysis Approach

Osmani, Ahmad Reshad

doi:10.12778/235108618x15452373185048

“…As explained in other studies, in order to decrease the inefficiencies in hospitals, there should be close evaluation of the excess in medical and non-medical manpower (Osmani, 2012). The results of this study showed that a hospital's size has an effect on its efficiency, which was supported by other studies (W.F.…”

Section: Discussionsupporting

confidence: 87%

“…It is also characterised by its ability to deal with multiple outputs and multiple inputs easily (Hollingsworth, Dawson, & Maniadakis, 1999;Li & Dong, 2015;O'Neill et al, 2008;Rosko, 2001;Wranik, 2012), even if they were heterogeneous (Osmani, 2012). Additionally, it has the advantage of the simplicity underlying this approach in terms of not having prior or complicated standard assumptions as is the case with statistical regression analysis (Alexander, Busch, & Stringer, 2003, Hollingsworth et al, 1999, Osmani, 2012. Additionally, it can provide useful information for developing strategies to eliminate areas of inefficiency (Rosko, 2001).…”

Section: Data Envelope Analysis (Dea)mentioning

confidence: 99%

Measuring the Efficiency of Public Hospitals in Kuwait: A Two-Stage Data Envelopment Analysis and a Qualitative Survey Study

Alsabah¹,

Haghparast‐Bidgoli²,

Skordis³

2020

GJHS

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The recent drop in oil prices has challenged public sector financing in Kuwait. Technical and scale efficiency scores for fifteen public hospitals in Kuwait from 2010 to 2014 were estimated using a two-stage data envelopment analysis (DEA). Technical efficiency scores were regressed against institutional characteristics using Tobit regression to investigate the determinants of efficiency differences in hospitals. Semi-structured interviews were also carried out with fourteen public and private hospital managers to qualitatively explore their perceptions and experience about about factors affecting hospital efficiency. The mean technical efficiency score for all hospitals was 85.8%, an improvement of 2% since 2010. The mean pure technical efficiency score was 79.6%, improving from 75% in 2010 to 81.2% in 2014. The mean scale efficiency score was 91.8%, improving from 87.6% in 2010 to 94.2% in 2014. Only three hospitals were constantly technically and scale efficient. Tobit regression showed that hospital efficiency was significantly associated with the average length of patient stay. Hospitals with more than 400 beds were potentially more technically and scale efficient. The qualitative study revealed that external factors affecting efficiency commonly included implemention of legislative changes and decreasing bureaucracy, while internal factors included increasing bed capacity and improving qualifications and training of human resources. Most public hospitals in Kuwait were not technically and scale efficient, but improvements were observed. Potential factors that affected the efficiency of hospitals in Kuwait were identified. These findings are useful to decision-makers in Kuwait for developing strategies to improve public hospital efficiency.

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“…The ability to measure technical e ciency is among the several advantages of DEA (16). Another advantage of this approach is its ability to easily deal with multiple inputs and outputs (13,(17)(18)(19)(20)(21), even if they were heterogeneous (22). And, contrary to statistical regression analysis, DEA has the simplicity of not having prior or complicated standard assumptions (17,18,22,23).…”

Section: Methodsmentioning

confidence: 99%

“…Another advantage of this approach is its ability to easily deal with multiple inputs and outputs (13,(17)(18)(19)(20)(21), even if they were heterogeneous (22). And, contrary to statistical regression analysis, DEA has the simplicity of not having prior or complicated standard assumptions (17,18,22,23). The ability to provide useful information for developing strategies to eliminate areas of ine ciency is another advantage of this approach (20).…”

Section: Methodsmentioning

confidence: 99%

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Efficiency evaluation of public hospitals in Kuwait: an application of data envelopment analysis

Alsabah

¹

,

Alatawi

²

,

Koornneef

³

2023

Preprint

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Background: Kuwait overall health expenditure, in 2019, was 5.5% from the gross-domestic product and the state is the biggest healthcare provider in secondary and tertiary hospitals. Hospital efficiency and productivity are, therefore, an important issue to analyse, specifically in terms of number of visits to outpatient clinics, the number of surgical procedures performed, bed turnover and bed occupancy. Data envelopment analysis has been used to provide insights in the understanding of this growth in other countries. Methods: Data envelopment analysis (DEA) was used to estimate technical and scale efficiency scores for seventeen public hospitals in Kuwait from 2015 to 2019 using a two-stage DEA. Technical efficiency scores were regressed against institutional characteristics using Tobit regression to investigate the determinants of efficiency differences amongst hospitals. Results: The mean technical efficiency score for all hospitals was 75%, and it improved by 1% since 2015. The mean pure technical efficiency score was 85% in 2015 and improved to 86% in 2019. The mean scale efficiency score was 89% in 2015 and decreased to 88% in 2019. Only five hospitals were constantly technically and scale efficient. Tobit regression showed that hospital efficiency was significantly associated with the hospital level (secondary or tertiary), number of beds, bed occupancy rate and the average length of stay. Conclusions: Most public hospitals in Kuwait were not technically and scale efficient, but improvements were observed in the overall scores and pure technical efficiencies of these hospitals throughout the study. The identification of the factors influencing efficiency is crucial for hospital managers and policymakers to take evidence-based decisions to improve the technical efficiency of the main health-producing units in the country.

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Measuring the Efficiency of Public Hospitals in Kuwait: A Two-Stage Data Envelopment Analysis and a Qualitative Survey Study

Alsabah

¹

,

Haghparast‐Bidgoli

²

,

Skordis

³

2019

View full text Add to dashboard Cite

The recent drop in oil prices has challenged public sector financing in Kuwait. Technical and scale efficiency scores for fifteen public hospitals in Kuwait from 2010 to 2014 were estimated using a two-stage data envelopment analysis (DEA). Technical efficiency scores were regressed against institutional characteristics using Tobit regression to investigate the determinants of efficiency differences in hospitals. Semi-structured interviews were also carried out with fourteen public and private hospital managers to qualitatively explore their perceptions and experience about about factors affecting hospital efficiency. The mean technical efficiency score for all hospitals was 85.8%, an improvement of 2% since 2010. The mean pure technical efficiency score was 79.6%, improving from 75% in 2010 to 81.2% in 2014. The mean scale efficiency score was 91.8%, improving from 87.6% in 2010 to 94.2% in 2014. Only three hospitals were constantly technically and scale efficient. Tobit regression showed that hospital efficiency was significantly associated with the average length of patient stay. Hospitals with more than 400 beds were potentially more technically and scale efficient. The qualitative study revealed that external factors affecting efficiency commonly included implemention of legislative changes and decreasing bureaucracy, while internal factors included increasing bed capacity and improving qualifications and training of human resources. Most public hospitals in Kuwait were not technically and scale efficient, but improvements were observed. Potential factors that affected the efficiency of hospitals in Kuwait were identified. These findings are useful to decision-makers in Kuwait for developing strategies to improve public hospital efficiency.

show abstract

Technical Efficiency of District Hospitals in Afghanistan: a Data Envelopment Analysis Approach

Cited by 6 publications

References 0 publications

Measuring the Efficiency of Public Hospitals in Kuwait: A Two-Stage Data Envelopment Analysis and a Qualitative Survey Study

Measuring the Efficiency of Public Hospitals in Kuwait: A Two-Stage Data Envelopment Analysis and a Qualitative Survey Study

Efficiency evaluation of public hospitals in Kuwait: an application of data envelopment analysis

Measuring the Efficiency of Public Hospitals in Kuwait: A Two-Stage Data Envelopment Analysis and a Qualitative Survey Study

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