Measuring Efficiency of Health Systems of the Middle East and North Africa (MENA) Region Using Stochastic Frontier Analysis.
Identifieur interne : 000477 ( PubMed/Checkpoint ); précédent : 000476; suivant : 000478Measuring 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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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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(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" 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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><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26914550</PMID><DateCompleted><Year>2017</Year><Month>03</Month><Day>27</Day></DateCompleted><DateRevised><Year>2017</Year><Month>08</Month><Day>17</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1179-1896</ISSN><JournalIssue CitedMedium="Internet"><Volume>14</Volume><Issue>3</Issue><PubDate><Year>2016</Year><Month>Jun</Month></PubDate></JournalIssue><Title>Applied health economics and health policy</Title><ISOAbbreviation>Appl Health Econ Health Policy</ISOAbbreviation></Journal><ArticleTitle>Measuring Efficiency of Health Systems of the Middle East and North Africa (MENA) Region Using Stochastic Frontier Analysis.</ArticleTitle><Pagination><MedlinePgn>337-47</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1007/s40258-016-0230-9</ELocationID><Abstract><AbstractText Label="OBJECTIVE" NlmCategory="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.</AbstractText><AbstractText Label="METHODS" NlmCategory="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.</AbstractText><AbstractText Label="RESULTS" NlmCategory="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.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">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.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Hamidi</LastName><ForeName>Samer</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>School of Health and Environmental Studies, Hamdan Bin Mohammad Smart University, Dubai, United Arab Emirates. s.hamidi@hbmsu.ac.ae.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Akinci</LastName><ForeName>Fevzi</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Health Care Administration, The William G. McGowan School of Business, King's College, Wilkes-Barre, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>New Zealand</Country><MedlineTA>Appl Health Econ Health Policy</MedlineTA><NlmUniqueID>101150314</NlmUniqueID><ISSNLinking>1175-5652</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000352" MajorTopicYN="N">Africa, Northern</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002908" MajorTopicYN="N">Chronic Disease</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName><QualifierName UI="Q000628" MajorTopicYN="N">therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003695" MajorTopicYN="N">Delivery of Health Care</DescriptorName><QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName><QualifierName UI="Q000458" MajorTopicYN="Y">organization & administration</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D017598" MajorTopicYN="N">Efficiency, Organizational</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005382" MajorTopicYN="N">Financing, Personal</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005102" MajorTopicYN="N">Health Expenditures</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006291" MajorTopicYN="Y">Health Policy</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015994" MajorTopicYN="N">Incidence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008017" MajorTopicYN="N">Life Expectancy</DescriptorName><QualifierName UI="Q000639" MajorTopicYN="N">trends</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008877" MajorTopicYN="N">Middle East</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011634" MajorTopicYN="N">Public Health</DescriptorName><QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName><QualifierName UI="Q000592" MajorTopicYN="Y">standards</QualifierName><QualifierName UI="Q000639" MajorTopicYN="N">trends</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013269" MajorTopicYN="N">Stochastic Processes</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014881" MajorTopicYN="N">Water Supply</DescriptorName><QualifierName UI="Q000592" MajorTopicYN="Y">standards</QualifierName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>2</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>2</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>3</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">26914550</ArticleId><ArticleId IdType="doi">10.1007/s40258-016-0230-9</ArticleId><ArticleId IdType="pii">10.1007/s40258-016-0230-9</ArticleId></ArticleIdList></PubmedData></pubmed><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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