A Bayesian Approach for Evaluation of Determinants of Health System Efficiency Using Stochastic Frontier Analysis and Beta Regression

Şenel, Talat; Cengiz, Mehmet Ali

doi:10.1155/2016/2801081

Cited by 9 publications

(17 citation statements)

References 20 publications

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“…Determinants of health systems e ciency were identi ed in 72 (55%) of the selected papers. Methods used for the quantitative identi cation of the determinants of e ciency include: Bayesian linear regression [59,60] Inputs, their de nition and reasons why they were chosen Inputs were de ned as resources required to facilitate the production function of the health system [21,60]. These resources were considered to be within the control of the managers in the health system [33].…”

Section: Methods Used To Analyze E Ciencymentioning

confidence: 99%

“…Exogenous variables were chosen based on: 1) evidence of use in previous studies [15,21,59,77]; this was the most common reason given by a third of all the authors who used exogenous variables in their analysis. 2) completeness and consistency of reporting of the variable in question for the units under consideration [72] and lastly, 3) evidence of their potential in uence on e ciency [33,62,65].…”

Section: Methods Used To Analyze E Ciencymentioning

confidence: 99%

“…Allin et al (2015) found that an increase in the proportion of people with chronic conditions by 10% would decrease the technical e ciency score by between 10-18% in regional health systems in Canada. Further, health systems that serve populations with high levels of health risk factors such as smoking, alcohol consumption, and obesity were likely to be less technically e cient [15,21,59,98]. For example, Bekaroglu and He ey, (2018b) found that a high consumption of alcohol increases ine ciency by causing premature ill health and death.…”

Section: Health and Wellbeing Of The Populationmentioning

confidence: 99%

See 2 more Smart Citations

Analysing the Efficiency of National and Sub-national health systems - A Systematic Review of Literature

Mbau

Musiega

Nyawira

et al. 2022

Preprint

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Introduction Health system efficiency is a priority concern for policy makers globally as countries aim to achieve universal health coverage. Efficiency analysis in the health sector has typically focused on the efficiency of healthcare facilities (hospitals, primary healthcare facilities), with few studies focusing on system level (national or sub-national) efficiency. We carried out a thematic review of literature that assessed the efficiency of health systems at the national and sub-national level. Methods We conducted a systematic search of PubMed, Google, and Google scholar between 2000 and 2021 and a manual search of relevant papers’ reference lists. A total of 131 papers were identified. We analysed and synthesized data from the selected papers using a thematic approach. Findings There were more publications from high and upper middle-income countries (62%) than from low income and lower-middle income countries. There were also more publications focusing on national level (60%) compared to sub-national health systems efficiency. Only 5% of studies used either qualitative methods or mixed methods while 95% used quantitative approaches. Data envelopment analysis was the most common methodological approach used, followed by stochastic frontier analysis. A range of regression methods were used to identify the determinants of health system efficiency. While studies used a range of inputs, these generally considered the building blocks of health systems, health risk factors, and social determinants of health. Outputs used in efficiency analysis could be classified as either intermediate health outputs, single health outcomes or composite measures of health outcomes. Factors that were found to affect health system technical efficiency include demographic and socio-economic characteristics of the population, macro-economic characteristics of the national and sub-national regions, population health and wellbeing, the governance and political characteristics of these regions, and health system characteristics. Conclusion This review highlights the limited evidence on health system efficiency in low- and middle-income countries. It also reveals the dearth of efficiency studies that use mixed methods approaches by incorporating qualitative inquiry. The review offers insights on the drivers of the technical efficiency of national and sub-national health systems, highlights potential targets for reforms to improve health system efficiency.

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Section: Methods Used To Analyze E Ciencymentioning

confidence: 99%

Section: Methods Used To Analyze E Ciencymentioning

confidence: 99%

Section: Health and Wellbeing Of The Populationmentioning

confidence: 99%

See 1 more Smart Citation

Analysing the Efficiency of National and Sub-national health systems - A Systematic Review of Literature

Mbau

Musiega

Nyawira

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Besides the above, the empirical studies also proposed and present the following methods including (3) Bayesian stochastic frontier analysis [ 33 , 34 ], in the Bayesian approach, a special function form for the production frontier and a source of randomness is needed [ 35 ] although this method has the benefit of being able to separate the efficiency from the technological difference and include the prior information about the parameter in inference [ 36 ]; (4) Triangular Data Envelopment Analysis model [ 37 ], this specific method has the advantage of considering efficiency and effectiveness in the hotel production process at the same time under a model [ 38 ], however, as argued by the authors themselves, due to the fact that Data Envelopment Analysis requires large number of observations, in particular when the number of inputs and outputs increase, therefore, Data Envelopment Analysis is not suitable for small hotel chains.…”

Section: Literature Reviewmentioning

confidence: 99%

Hotel Performance in the UK: The Role of Information Entropy in a Novel Slack-Based Data Envelopment Analysis

Tan

Jamshidi

Hadi-Vencheh

2021

Entropy

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Previous hotel performance studies neglected the role of information entropy in feedback processes between input and output management. This paper focuses on this gap by exploring the relationship between hotel performance at the industry level and the capability of learning by doing and adopting best practices using a sample of 153 UK hotels over a 10-year period between 2008–2017. Besides, this research also fills a literature gap by addressing the issues of measuring hotel performance in light of negative outputs. In order to achieve this, we apply a novel Modified slack-based model for the efficiency analysis and Least Absolute Shrinkage and Selection Operator to examine the influence of entropy related variable on efficiency score. The Results indicate that less can be learnt from inputs than from outputs to improve efficiency levels and resource allocation is more balanced than cash flow and liquidity. The findings suggest that market dynamics explains the cash flow generation potential and liquidity. We find that market conditions are increasingly offering the opportunities for learning and improving hotel efficiency. The results report that the distinctive characteristic of superior performance in hotel operations is the capability to match the cash flow generation potential with market opportunities.

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“…In this study, we determined the probability of visits to a certain webpage by the search keyword using the Markov Chain Monte Carlo (MCMC) methods [ 4 , 5 ]. Recently, marketing research has yielded positive results applying Bayesian statistics with improvements in computer count ability and expects to apply them to a greater degree in the future [ 6 - 8 ]. At this time, research applying the patient searching behavior model to medical institution website visitors is lacking.…”

Section: Introductionmentioning

confidence: 99%

Behavioral Analysis of Visitors to a Medical Institution’s Website Using Markov Chain Monte Carlo Methods

Suzuki¹,

Tani²,

Ogasawara³

2016

J Med Internet Res

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BackgroundConsistent with the “attention, interest, desire, memory, action” (AIDMA) model of consumer behavior, patients collect information about available medical institutions using the Internet to select information for their particular needs. Studies of consumer behavior may be found in areas other than medical institution websites. Such research uses Web access logs for visitor search behavior. At this time, research applying the patient searching behavior model to medical institution website visitors is lacking.ObjectiveWe have developed a hospital website search behavior model using a Bayesian approach to clarify the behavior of medical institution website visitors and determine the probability of their visits, classified by search keyword.MethodsWe used the website data access log of a clinic of internal medicine and gastroenterology in the Sapporo suburbs, collecting data from January 1 through June 31, 2011. The contents of the 6 website pages included the following: home, news, content introduction for medical examinations, mammography screening, holiday person-on-duty information, and other. The search keywords we identified as best expressing website visitor needs were listed as the top 4 headings from the access log: clinic name, clinic name + regional name, clinic name + medical examination, and mammography screening. Using the search keywords as the explaining variable, we built a binomial probit model that allows inspection of the contents of each purpose variable. Using this model, we determined a beta value and generated a posterior distribution. We performed the simulation using Markov Chain Monte Carlo methods with a noninformation prior distribution for this model and determined the visit probability classified by keyword for each category.ResultsIn the case of the keyword “clinic name,” the visit probability to the website, repeated visit to the website, and contents page for medical examination was positive. In the case of the keyword “clinic name and regional name,” the probability for a repeated visit to the website and the mammography screening page was negative. In the case of the keyword “clinic name + medical examination,” the visit probability to the website was positive, and the visit probability to the information page was negative. When visitors referred to the keywords “mammography screening,” the visit probability to the mammography screening page was positive (95% highest posterior density interval = 3.38-26.66).ConclusionsFurther analysis for not only the clinic website but also various other medical institution websites is necessary to build a general inspection model for medical institution websites; we want to consider this in future research. Additionally, we hope to use the results obtained in this study as a prior distribution for future work to conduct higher-precision analysis.

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A Bayesian Approach for Evaluation of Determinants of Health System Efficiency Using Stochastic Frontier Analysis and Beta Regression

Cited by 9 publications

References 20 publications

Analysing the Efficiency of National and Sub-national health systems - A Systematic Review of Literature

Analysing the Efficiency of National and Sub-national health systems - A Systematic Review of Literature

Hotel Performance in the UK: The Role of Information Entropy in a Novel Slack-Based Data Envelopment Analysis

Behavioral Analysis of Visitors to a Medical Institution’s Website Using Markov Chain Monte Carlo Methods

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