2020
DOI: 10.5539/gjhs.v12n3p121
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Measuring the Efficiency of Public Hospitals in Kuwait: A Two-Stage Data Envelopment Analysis and a Qualitative Survey Study

Abstract: 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 manager… Show more

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Cited by 11 publications
(9 citation statements)
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“…Furthermore, the average VRS technical e ciency score was 0.85, which signi es a room for managerial improvements. The results of this study show that a higher per-centage of public hospitals were technically e cient when compared to the work of Al-sabah et al (11), where 20% of public hospitals were technically e cient in the period 2010-2014 in Kuwait.…”
Section: Discussioncontrasting
confidence: 59%
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“…Furthermore, the average VRS technical e ciency score was 0.85, which signi es a room for managerial improvements. The results of this study show that a higher per-centage of public hospitals were technically e cient when compared to the work of Al-sabah et al (11), where 20% of public hospitals were technically e cient in the period 2010-2014 in Kuwait.…”
Section: Discussioncontrasting
confidence: 59%
“…Based on the use of similar variables in other studies (11,13,(36)(37)(38)(39)(40)(41), and the availability of domestic data, four input and two output variables were selected for the rst stage DEA. Input variables included the total number of beds (a widely used proxy for capital in hospital e ciency studies (40,42)) and three labour inputs including the total number of doctors, nurses and non-medical workers.…”
Section: Data Variablesmentioning
confidence: 99%
See 1 more Smart Citation
“…Based on the use of similar variables in other studies (11,13,(36)(37)(38)(39)(40)(41), and the availability of domestic data, four input and two output variables were selected for the first stage DEA. Input variables included the total number of beds (a widely used proxy for capital in hospital efficiency studies (40,42)) and three labour inputs including the total number of doctors, nurses and non-medical workers.…”
Section: Data Variablesmentioning
confidence: 99%
“…There aren't any recent reports available that describe how much of the general Ministry of Health (MoH) budget is dedicated to fund public hospitals. However, previous research studies stated that, historically, more than 60% of the MoH budget is consumed by secondary and tertiary care public hospitals (11), and the remainder 40% of the MoH's budget is consumed by primary care and public health provision.…”
Section: Introductionmentioning
confidence: 99%