scholarly journals Technical efficiency of health-care systems in selected middle-income countries: an empirical investigation

2020 ◽  
Vol 5 (4) ◽  
pp. 267-287
Author(s):  
Heba Nassar ◽  
Hala Sakr ◽  
Asmaa Ezzat ◽  
Pakinam Fikry
Keyword(s):  
Health Care ◽  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Health Care Systems ◽  
Stochastic Frontier ◽  
Middle Income ◽  
Content Type ◽  
Frontier Analysis ◽  
Middle Income Countries ◽  
Care Systems

Purpose This paper aims to evaluate the technical efficiency of the health-care systems in 21 selected middle-income countries during the period (2000–2017) and determine the source of inefficiency whether it is transient (short run) or persistent (long run). Design/methodology/approach The study uses the stochastic frontier analysis technique through employing the generalized true random effects model which overcomes the drawbacks of the previously introduced stochastic frontier models and allows for the separation between unobserved heterogeneity, persistent inefficiency and transient inefficiency. Findings Persistent efficiency is lower than the transient efficiency; hence, there are more efficiency gains that can be made by the selected countries by adopting long-term policies that aim at reforming the structure of the health-care system in the less efficient countries such as South Africa and Russia. The most efficient countries are Vietnam, Mexico and China which adopted a social health insurance that covers almost the whole population with the aim of increasing access to health-care services. Also, decentralization in health-care has assisted in adopting health-care policies that are suitable for both the rural and urban areas based on their specific conditions and health-care needs. A key success in the implementation of the adopted long-term policies by those countries is the continuous monitoring and evaluation of their outcomes and comparing them with the predefined targets and conducting any necessary modifications to ensure their movement in the right path to achieve their goals. Originality/value Although several studies have evaluated the technical efficiency both across and within countries using non-parametric (data envelopment analysis) and parametric (stochastic frontier analysis) approaches, to the best of the authors’ knowledge, this is the first attempt to evaluate the technical efficiency of selected middle-income countries during the period (2000–2017) using the generalized true random effects stochastic frontier analysis model.

scholarly journals Structural Barriers to Diagnosis and Treatment of Cancer in Low- and Middle-Income Countries: The Urgent Need for Scaling Up

2016 ◽  
Vol 34 (1) ◽  
pp. 14-19 ◽  
Author(s):  
Eduardo Cazap ◽  
Ian Magrath ◽  
T. Peter Kingham ◽  
Ahmed Elzawawy
Keyword(s):  
Health Care ◽  
Access To Care ◽  
Cancer Care ◽  
Health Care Systems ◽  
Diagnosis And Treatment ◽  
Middle Income ◽  
Health Crisis ◽  
Middle Income Countries ◽  
Care Systems ◽  
Low And Middle Income

Noncommunicable diseases are now recognized by the United Nations and WHO as a major public health crisis. Cancer is a main part of this problem, and health care systems are facing a great challenge to improve cancer care, control costs, and increase systems efficiency. The disparity in access to care and outcomes between high-income countries and low- and middle-income countries is staggering. The reasons for this disparity include cost, access to care, manpower and training deficits, and a lack of awareness in the lay and medical communities. Diagnosis and treatment play an important role in this complex environment. In different regions and countries of the world, a variety of health care systems are in place, but most of them are fragmented or poorly coordinated. The need to scale up cancer care in the low- and middle-income countries is urgent, and this article reviews many of the structural mechanisms of the problem, describes the current situation, and proposes ways for improvement. The organization of cancer services is also included in the analysis.

Efficiency levels of sub-national governments: a comparison of SFA and DEA estimations

2014 ◽  
Vol 26 (3) ◽  
pp. 275-283 ◽  
Author(s):  
Primož Pevcin
Keyword(s):  
Technical Efficiency ◽  
Best Practice ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Empirical Literature ◽  
Fiscal Year ◽  
Content Type ◽  
Frontier Analysis ◽  
Traditional Approaches ◽  
National Governments

Purpose – By utilizing the two most commonly used approaches to generate “best practice frontier” to estimate efficiency of observed units, the purpose of this research paper is to estimate technical efficiency for total population of 200 Slovenian municipalities for the 2011 fiscal year. Design/methodology/approach – Stochastic frontier analysis (SFA) and data envelopment analysis (DEA) methods are used to estimate technical efficiency levels. Namely, the majority of studies have utilized these two “traditional” approaches. Since the advantages of one method often represent the disadvantages of the other method, the two methods have been selected to compare the results obtained on the technical efficiency levels. Findings – The results suggest that mean technical inefficiency should be approximately 22-25 percent (SFA method), whereas DEA method suggests the inefficiency in the range 12-18 percent. The DEA approach also suggests that the paper has many more technically efficient units compared to the SFA estimates. Nevertheless, the SFA assessment has revealed that, although on average the inefficiency should be larger compared to the DEA assessment, more than one-third of municipalities should exhibit relatively low levels of inefficiency (less than 5 percent). Originality/value – This study utilizes both parametric as well as non-parametric approaches to assess the technical efficiency, which is not very common in the empirical literature. Besides, it focusses on the local government efficiency in a post-socialist country.

Access as a policy-relevant concept in low- and middle-income countries

2009 ◽  
Vol 4 (2) ◽  
pp. 179-193 ◽  
Author(s):  
DI MCINTYRE ◽  
MICHAEL THIEDE ◽  
STEPHEN BIRCH
Keyword(s):  
Health Care ◽  
Access To Health Care ◽  
Health Care Policy ◽  
Comprehensive Evaluation ◽  
Health Care Systems ◽  
Three Dimensions ◽  
Middle Income ◽  
Middle Income Countries ◽  
Access To Health ◽  
Care Systems

Abstract:Although access to health care is frequently identified as a goal for health care policy, the precise meaning of access to health care often remains unclear. We present a conceptual framework that defines access to health care as theempowermentof an individual to use health care and as a multidimensional concept based on the interaction (or degree of fit) between health care systems and individuals, households, and communities. Three dimensions of access are identified: availability, affordability, and acceptability, through which access can be evaluated directly instead of focusing on utilisation of care as a proxy for access. We present the case for the comprehensive evaluation of health care systems as well as the dimensions of access, and the factors underlying each dimension. Such systemic analyses can inform policy-makers about the ‘fit’ between needs for health care and receipt of care, and provide the basis for developing policies that promote improvements in the empowerment to use care.

Does household engagement in concurrent business affect the farm size-technical efficiency relationship in grain production?

2019 ◽  
Vol 11 (1) ◽  
pp. 125-142 ◽  
Author(s):  
Min Zhong ◽  
Yuchun Zhu ◽  
Qihui Chen ◽  
Tianjun Liu ◽  
Qihua Cai
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Negative Relationship ◽  
Northern China ◽  
Farm Size ◽  
Farm Income ◽  
Content Type ◽  
Frontier Analysis ◽  
Two Factors

Purpose The purpose of this paper is to examine how households’ engagement in concurrent business (CB), which is measured by the contribution of off-farm income to household income, affects the farm size–technical efficiency (TE) relationship in Northern China. Design/methodology/approach This paper applies a stochastic frontier analysis method to analyze data on 1,006 rural households collected from four major wheat-producing provinces in Northern China, adopting a translog specification for the underlying production function. Findings The analysis yields three findings. First, the farm size–TE relationship is inverted U-shaped for all CB engagement levels higher than 5 percent, and the most technically efficient farm size increases with the level of household CB engagement. Second, how TE varies with the level of CB engagement depends on farm size: an inverted-U relationship for relatively small farms (<10μ), a positive relationship for middle-size farms (10–20μ), and a negative relationship for large farms (>20μ). Finally, the overall TE score, 0.88, suggests that wheat output can be increased by 12 percent in Northern China if technical inefficiency were eliminated. Originality/value Unlike most previous studies that examine the impacts of farm size and households’ off-farm business involvement separately, this paper examines how these two factors interact with each other.

scholarly journals Measures to strengthen primary health-care systems in low- and middle-income countries

2020 ◽  
Vol 98 (11) ◽  
pp. 781-791 ◽  
Author(s):  
Etienne V Langlois ◽  
Andrew McKenzie ◽  
Helen Schneider ◽  
Jeffrey W Mecaskey
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Health Care Systems ◽  
Middle Income ◽  
Middle Income Countries ◽  
Primary Health ◽  
Care Systems ◽  
Low And Middle Income
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