Measuring Efficiency of Health Systems of the Middle East and North Africa (MENA) Region Using Stochastic Frontier Analysis.
Identifieur interne : 000317 ( Main/Exploration ); précédent : 000316; suivant : 000318Measuring Efficiency of Health Systems of the Middle East and North Africa (MENA) Region Using Stochastic Frontier Analysis.
Auteurs : Samer Hamidi [Émirats arabes unis] ; Fevzi Akinci [États-Unis]Source :
- Applied health economics and health policy [ 1179-1896 ] ; 2016.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Afrique du Nord (épidémiologie), Alimentation en eau (normes), Alimentation en eau (statistiques et données numériques), Dépenses de santé (statistiques et données numériques), Efficacité fonctionnement (MeSH), Espérance de vie (tendances), Femelle (MeSH), Financement individuel (MeSH), Humains (MeSH), Incidence (MeSH), Jeune adulte (MeSH), Maladie chronique (prévention et contrôle), Maladie chronique (thérapie), Maladie chronique (épidémiologie), Moyen Orient (épidémiologie), Mâle (MeSH), Politique de santé (MeSH), Prestations des soins de santé (organisation et administration), Prestations des soins de santé (économie), Processus stochastiques (MeSH), Santé publique (normes), Santé publique (tendances), Santé publique (économie).
- MESH :
- normes : Alimentation en eau, Santé publique.
- organisation et administration : Prestations des soins de santé.
- prévention et contrôle : Maladie chronique.
- statistiques et données numériques : Alimentation en eau, Dépenses de santé.
- tendances : Espérance de vie, Santé publique.
- thérapie : Maladie chronique.
- économie : Prestations des soins de santé, Santé publique.
- épidémiologie : Afrique du Nord, Maladie chronique, Moyen Orient.
- Adolescent, Adulte, Adulte d'âge moyen, Efficacité fonctionnement, Femelle, Financement individuel, Humains, Incidence, Jeune adulte, Mâle, Politique de santé, Processus stochastiques.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Africa, Northern (epidemiology), Chronic Disease (epidemiology), Chronic Disease (prevention & control), Chronic Disease (therapy), Delivery of Health Care (economics), Delivery of Health Care (organization & administration), Efficiency, Organizational (MeSH), Female (MeSH), Financing, Personal (MeSH), Health Expenditures (statistics & numerical data), Health Policy (MeSH), Humans (MeSH), Incidence (MeSH), Life Expectancy (trends), Male (MeSH), Middle Aged (MeSH), Middle East (epidemiology), Public Health (economics), Public Health (standards), Public Health (trends), Stochastic Processes (MeSH), Water Supply (standards), Water Supply (statistics & numerical data), Young Adult (MeSH).
- MESH :
- economics : Delivery of Health Care, Public Health.
- epidemiology : Africa, Northern, Chronic Disease, Middle East.
- organization & administration : Delivery of Health Care.
- prevention & control : Chronic Disease.
- standards : Public Health, Water Supply.
- statistics & numerical data : Health Expenditures, Water Supply.
- therapy : Chronic Disease.
- trends : Life Expectancy, Public Health.
- Adolescent, Adult, Efficiency, Organizational, Female, Financing, Personal, Health Policy, Humans, Incidence, Male, Middle Aged, Stochastic Processes, Young Adult.
Abstract
OBJECTIVE
The main purpose of this study is to measure the technical efficiency of twenty health systems in the Middle East and North Africa (MENA) region to inform evidence-based health policy decisions. In addition, the effects of alternative stochastic frontier model specification on the empirical results are examined.
METHODS
We conducted a stochastic frontier analysis to estimate the country-level technical efficiencies using secondary panel data for 20 MENA countries for the period of 1995-2012 from the World Bank database. We also tested the effect of alternative frontier model specification using three random-effects approaches: a time-invariant model where efficiency effects are assumed to be static with regard to time, and a time-varying efficiency model where efficiency effects have temporal variation, and one model to account for heterogeneity.
RESULTS
The average estimated technical inefficiency of health systems in the MENA region was 6.9 % with a range of 5.7-7.9 % across the three models. Among the top performers, Lebanon, Qatar, and Morocco are ranked consistently high according to the three different inefficiency model specifications. On the opposite side, Sudan, Yemen and Djibouti ranked among the worst performers. On average, the two most technically efficient countries were Qatar and Lebanon. We found that the estimated technical efficiency scores vary substantially across alternative parametric models.
CONCLUSION
Based on the findings reported in this study, most MENA countries appear to be operating, on average, with a reasonably high degree of technical efficiency compared with other countries in the region. However, there is evidence to suggest that there are considerable efficiency gains yet to be made by some MENA countries. Additional empirical research is needed to inform future health policies aimed at improving both the efficiency and sustainability of the health systems in the MENA region.
DOI: 10.1007/s40258-016-0230-9
PubMed: 26914550
Affiliations:
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Le document en format XML
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McGowan School of Business, King's College, Wilkes-Barre, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Health Care Administration, The William G. 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McGowan School of Business, King's College, Wilkes-Barre, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Health Care Administration, The William G. McGowan School of Business, King's College, Wilkes-Barre</wicri:regionArea><wicri:noRegion>Wilkes-Barre</wicri:noRegion></affiliation></author></analytic><series><title level="j">Applied health economics and health policy</title><idno type="eISSN">1179-1896</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term><term>Adult (MeSH)</term><term>Africa, Northern (epidemiology)</term><term>Chronic Disease (epidemiology)</term><term>Chronic Disease (prevention & control)</term><term>Chronic Disease (therapy)</term><term>Delivery of Health Care (economics)</term><term>Delivery of Health Care (organization & administration)</term><term>Efficiency, Organizational (MeSH)</term><term>Female (MeSH)</term><term>Financing, Personal (MeSH)</term><term>Health Expenditures (statistics & numerical data)</term><term>Health Policy (MeSH)</term><term>Humans (MeSH)</term><term>Incidence (MeSH)</term><term>Life Expectancy (trends)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Middle East (epidemiology)</term><term>Public Health (economics)</term><term>Public Health (standards)</term><term>Public Health (trends)</term><term>Stochastic Processes (MeSH)</term><term>Water Supply (standards)</term><term>Water Supply (statistics & numerical data)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Afrique du Nord (épidémiologie)</term><term>Alimentation en eau (normes)</term><term>Alimentation en eau (statistiques et données numériques)</term><term>Dépenses de santé (statistiques et données numériques)</term><term>Efficacité fonctionnement (MeSH)</term><term>Espérance de vie (tendances)</term><term>Femelle (MeSH)</term><term>Financement individuel (MeSH)</term><term>Humains (MeSH)</term><term>Incidence (MeSH)</term><term>Jeune adulte (MeSH)</term><term>Maladie chronique (prévention et contrôle)</term><term>Maladie chronique (thérapie)</term><term>Maladie chronique (épidémiologie)</term><term>Moyen Orient (épidémiologie)</term><term>Mâle (MeSH)</term><term>Politique de santé (MeSH)</term><term>Prestations des soins de santé (organisation et administration)</term><term>Prestations des soins de santé (économie)</term><term>Processus stochastiques (MeSH)</term><term>Santé publique (normes)</term><term>Santé publique (tendances)</term><term>Santé publique (économie)</term></keywords><keywords scheme="MESH" qualifier="economics" xml:lang="en"><term>Delivery of Health Care</term><term>Public Health</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Africa, Northern</term><term>Chronic Disease</term><term>Middle East</term></keywords><keywords scheme="MESH" qualifier="normes" xml:lang="fr"><term>Alimentation en eau</term><term>Santé publique</term></keywords><keywords scheme="MESH" qualifier="organisation et administration" xml:lang="fr"><term>Prestations des soins de santé</term></keywords><keywords scheme="MESH" qualifier="organization & administration" xml:lang="en"><term>Delivery of Health Care</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Chronic Disease</term></keywords><keywords scheme="MESH" qualifier="prévention et contrôle" xml:lang="fr"><term>Maladie chronique</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Public Health</term><term>Water Supply</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Health Expenditures</term><term>Water Supply</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Alimentation en eau</term><term>Dépenses de 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Policy</term><term>Humans</term><term>Incidence</term><term>Male</term><term>Middle Aged</term><term>Stochastic Processes</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Efficacité fonctionnement</term><term>Femelle</term><term>Financement individuel</term><term>Humains</term><term>Incidence</term><term>Jeune adulte</term><term>Mâle</term><term>Politique de santé</term><term>Processus stochastiques</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b></p><p>The main purpose of this study is to measure the technical efficiency of twenty health systems in the Middle East and North Africa (MENA) region to inform evidence-based health policy decisions. In addition, the effects of alternative stochastic frontier model specification on the empirical results are examined.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>We conducted a stochastic frontier analysis to estimate the country-level technical efficiencies using secondary panel data for 20 MENA countries for the period of 1995-2012 from the World Bank database. We also tested the effect of alternative frontier model specification using three random-effects approaches: a time-invariant model where efficiency effects are assumed to be static with regard to time, and a time-varying efficiency model where efficiency effects have temporal variation, and one model to account for heterogeneity.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>The average estimated technical inefficiency of health systems in the MENA region was 6.9 % with a range of 5.7-7.9 % across the three models. Among the top performers, Lebanon, Qatar, and Morocco are ranked consistently high according to the three different inefficiency model specifications. On the opposite side, Sudan, Yemen and Djibouti ranked among the worst performers. On average, the two most technically efficient countries were Qatar and Lebanon. We found that the estimated technical efficiency scores vary substantially across alternative parametric models.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>Based on the findings reported in this study, most MENA countries appear to be operating, on average, with a reasonably high degree of technical efficiency compared with other countries in the region. However, there is evidence to suggest that there are considerable efficiency gains yet to be made by some MENA countries. Additional empirical research is needed to inform future health policies aimed at improving both the efficiency and sustainability of the health systems in the MENA region.</p></div></front></TEI><affiliations><list><country><li>Émirats arabes unis</li><li>États-Unis</li></country></list><tree><country name="Émirats arabes unis"><noRegion><name sortKey="Hamidi, Samer" sort="Hamidi, Samer" uniqKey="Hamidi S" first="Samer" last="Hamidi">Samer Hamidi</name></noRegion></country><country name="États-Unis"><noRegion><name sortKey="Akinci, Fevzi" sort="Akinci, Fevzi" uniqKey="Akinci F" first="Fevzi" last="Akinci">Fevzi Akinci</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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