[Morbidity estimates of beneficiaries of national health insurance for seven chronic conditions].
Identifieur interne : 001490 ( PubMed/Curation ); précédent : 001489; suivant : 001491[Morbidity estimates of beneficiaries of national health insurance for seven chronic conditions].
Auteurs : P. Fender [France] ; C. MegnigbetoSource :
- Revue d'epidemiologie et de sante publique [ 0398-7620 ] ; 1997.
Descripteurs français
- Wicri :
- geographic : France.
English descriptors
- KwdEn :
- Adolescent, Adult, Aged, Bipolar Disorder (drug therapy), Child, Child, Preschool, Chronic Disease (drug therapy), Chronic Disease (epidemiology), Colitis (drug therapy), Confidence Intervals, Coronary Disease (drug therapy), Crohn Disease (drug therapy), Diabetes Mellitus, Type 2 (drug therapy), Drug Prescriptions (statistics & numerical data), Drug Utilization, France (epidemiology), Humans, Infant, Middle Aged, Morbidity, National Health Programs, Parkinson Disease (drug therapy).
- MESH :
- geographic , epidemiology : France.
- drug therapy : Bipolar Disorder, Chronic Disease, Colitis, Coronary Disease, Crohn Disease, Diabetes Mellitus, Type 2, Parkinson Disease.
- epidemiology : Chronic Disease.
- statistics & numerical data : Drug Prescriptions.
- Adolescent, Adult, Aged, Child, Child, Preschool, Confidence Intervals, Drug Utilization, Humans, Infant, Middle Aged, Morbidity, National Health Programs.
Abstract
This work is aimed at providing improved coefficients applicable to the statistics of Health Insurance concerning the long-lasting conditions in order to assess morbidity of Health Insurance members concerning diseases invoked legislation on long-lasting conditions. To reach this objective, we have applied the consequences of successive equivalence (between diseases and their specific treatment, and between the use of special prescriptions for exempting diseases and the acknowledgment of long-lasting conditions by Health Insurance) to the results of a survey on medicines carried out by the Caisse Nationale d'Assurance Maladie des Travailleurs Salariés in 1993 on the basis of a representative sample. Improved coefficients were equal to the inverse of the proportion of special prescriptions within the whole of the prescriptions including specific treatment. Those coefficients and their confidence intervals have been calculated for seven affections: non-insulin dependent diabetes [1.56-1.67], coronary disease [1.51-1.61], Parkinson's disease [1.51-1.85], manic-depressive psychosis [1.49-1.89], haemorrhagic rectocolitis and Crohn's disease [1.49-2.04], insulin dependent diabetes [1.10-1.20] and tuberculosis [1.61-3.33]. The critical analysis of our work and its comparison with the rare literature on the same subject confirms the value of our results. The application of those improved coefficients to the figures of prevalence and incidence provided by Health Insurance makes it possible to set confidence bounds to the statistics of morbidity concerning the people who are affiliated to that system of Health Insurance and treated for these diseases however serious they are.
PubMed: 9280983
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Megnigbeto</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="1997">1997</date><idno type="RBID">pubmed:9280983</idno><idno type="pmid">9280983</idno><idno type="wicri:Area/PubMed/Corpus">001531</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">001531</idno><idno type="wicri:Area/PubMed/Curation">001490</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">001490</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">[Morbidity estimates of beneficiaries of national health insurance for seven chronic conditions].</title><author><name sortKey="Fender, P" sort="Fender, P" uniqKey="Fender P" first="P" last="Fender">P. Fender</name><affiliation wicri:level="3"><nlm:affiliation>Caisse Nationale de l'Assurance Maladie des Travailleurs Salariés (CNAMTS), Paris.</nlm:affiliation><country>France</country><placeName><settlement type="city">Paris</settlement><region type="région" nuts="2">Île-de-France</region></placeName><wicri:orgArea>Caisse Nationale de l'Assurance Maladie des Travailleurs Salariés (CNAMTS)</wicri:orgArea></affiliation></author><author><name sortKey="Megnigbeto, C" sort="Megnigbeto, C" uniqKey="Megnigbeto C" first="C" last="Megnigbeto">C. Megnigbeto</name></author></analytic><series><title level="j">Revue d'epidemiologie et de sante publique</title><idno type="ISSN">0398-7620</idno><imprint><date when="1997" type="published">1997</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Bipolar Disorder (drug therapy)</term><term>Child</term><term>Child, Preschool</term><term>Chronic Disease (drug therapy)</term><term>Chronic Disease (epidemiology)</term><term>Colitis (drug therapy)</term><term>Confidence Intervals</term><term>Coronary Disease (drug therapy)</term><term>Crohn Disease (drug therapy)</term><term>Diabetes Mellitus, Type 2 (drug therapy)</term><term>Drug Prescriptions (statistics & numerical data)</term><term>Drug Utilization</term><term>France (epidemiology)</term><term>Humans</term><term>Infant</term><term>Middle Aged</term><term>Morbidity</term><term>National Health Programs</term><term>Parkinson Disease (drug therapy)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>France</term></keywords><keywords scheme="MESH" qualifier="drug therapy" xml:lang="en"><term>Bipolar Disorder</term><term>Chronic Disease</term><term>Colitis</term><term>Coronary Disease</term><term>Crohn Disease</term><term>Diabetes Mellitus, Type 2</term><term>Parkinson Disease</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Chronic Disease</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Drug Prescriptions</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Child</term><term>Child, Preschool</term><term>Confidence Intervals</term><term>Drug Utilization</term><term>Humans</term><term>Infant</term><term>Middle Aged</term><term>Morbidity</term><term>National Health Programs</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>France</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This work is aimed at providing improved coefficients applicable to the statistics of Health Insurance concerning the long-lasting conditions in order to assess morbidity of Health Insurance members concerning diseases invoked legislation on long-lasting conditions. To reach this objective, we have applied the consequences of successive equivalence (between diseases and their specific treatment, and between the use of special prescriptions for exempting diseases and the acknowledgment of long-lasting conditions by Health Insurance) to the results of a survey on medicines carried out by the Caisse Nationale d'Assurance Maladie des Travailleurs Salariés in 1993 on the basis of a representative sample. Improved coefficients were equal to the inverse of the proportion of special prescriptions within the whole of the prescriptions including specific treatment. Those coefficients and their confidence intervals have been calculated for seven affections: non-insulin dependent diabetes [1.56-1.67], coronary disease [1.51-1.61], Parkinson's disease [1.51-1.85], manic-depressive psychosis [1.49-1.89], haemorrhagic rectocolitis and Crohn's disease [1.49-2.04], insulin dependent diabetes [1.10-1.20] and tuberculosis [1.61-3.33]. The critical analysis of our work and its comparison with the rare literature on the same subject confirms the value of our results. The application of those improved coefficients to the figures of prevalence and incidence provided by Health Insurance makes it possible to set confidence bounds to the statistics of morbidity concerning the people who are affiliated to that system of Health Insurance and treated for these diseases however serious they are.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">9280983</PMID><DateCreated><Year>1997</Year><Month>09</Month><Day>04</Day></DateCreated><DateCompleted><Year>1997</Year><Month>09</Month><Day>04</Day></DateCompleted><DateRevised><Year>2008</Year><Month>11</Month><Day>21</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0398-7620</ISSN><JournalIssue CitedMedium="Print"><Volume>45</Volume><Issue>3</Issue><PubDate><Year>1997</Year><Month>Jun</Month></PubDate></JournalIssue><Title>Revue d'epidemiologie et de sante publique</Title><ISOAbbreviation>Rev Epidemiol Sante Publique</ISOAbbreviation></Journal><ArticleTitle>[Morbidity estimates of beneficiaries of national health insurance for seven chronic conditions].</ArticleTitle><Pagination><MedlinePgn>193-202</MedlinePgn></Pagination><Abstract><AbstractText>This work is aimed at providing improved coefficients applicable to the statistics of Health Insurance concerning the long-lasting conditions in order to assess morbidity of Health Insurance members concerning diseases invoked legislation on long-lasting conditions. To reach this objective, we have applied the consequences of successive equivalence (between diseases and their specific treatment, and between the use of special prescriptions for exempting diseases and the acknowledgment of long-lasting conditions by Health Insurance) to the results of a survey on medicines carried out by the Caisse Nationale d'Assurance Maladie des Travailleurs Salariés in 1993 on the basis of a representative sample. Improved coefficients were equal to the inverse of the proportion of special prescriptions within the whole of the prescriptions including specific treatment. Those coefficients and their confidence intervals have been calculated for seven affections: non-insulin dependent diabetes [1.56-1.67], coronary disease [1.51-1.61], Parkinson's disease [1.51-1.85], manic-depressive psychosis [1.49-1.89], haemorrhagic rectocolitis and Crohn's disease [1.49-2.04], insulin dependent diabetes [1.10-1.20] and tuberculosis [1.61-3.33]. The critical analysis of our work and its comparison with the rare literature on the same subject confirms the value of our results. The application of those improved coefficients to the figures of prevalence and incidence provided by Health Insurance makes it possible to set confidence bounds to the statistics of morbidity concerning the people who are affiliated to that system of Health Insurance and treated for these diseases however serious they are.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Fender</LastName><ForeName>P</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Caisse Nationale de l'Assurance Maladie des Travailleurs Salariés (CNAMTS), Paris.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Megnigbeto</LastName><ForeName>C</ForeName><Initials>C</Initials></Author></AuthorList><Language>fre</Language><PublicationTypeList><PublicationType UI="D004740">English Abstract</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><VernacularTitle>Estimations de la morbidité des bénéficiaires du Régime Général de l'Assurance maladie pour sept affections de longue durée.</VernacularTitle></Article><MedlineJournalInfo><Country>France</Country><MedlineTA>Rev Epidemiol Sante Publique</MedlineTA><NlmUniqueID>7608039</NlmUniqueID><ISSNLinking>0398-7620</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="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001714" MajorTopicYN="N">Bipolar Disorder</DescriptorName><QualifierName UI="Q000188" MajorTopicYN="N">drug therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002908" MajorTopicYN="Y">Chronic Disease</DescriptorName><QualifierName UI="Q000188" MajorTopicYN="N">drug therapy</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003092" MajorTopicYN="N">Colitis</DescriptorName><QualifierName UI="Q000188" MajorTopicYN="N">drug therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016001" MajorTopicYN="N">Confidence Intervals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003327" MajorTopicYN="N">Coronary Disease</DescriptorName><QualifierName UI="Q000188" MajorTopicYN="N">drug therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003424" MajorTopicYN="N">Crohn Disease</DescriptorName><QualifierName UI="Q000188" MajorTopicYN="N">drug therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003924" MajorTopicYN="N">Diabetes Mellitus, Type 2</DescriptorName><QualifierName UI="Q000188" MajorTopicYN="N">drug therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011307" MajorTopicYN="N">Drug Prescriptions</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004363" MajorTopicYN="N">Drug Utilization</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005602" MajorTopicYN="N" Type="Geographic">France</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007223" MajorTopicYN="N">Infant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009017" MajorTopicYN="Y">Morbidity</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009313" MajorTopicYN="Y">National Health Programs</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010300" MajorTopicYN="N">Parkinson Disease</DescriptorName><QualifierName UI="Q000188" MajorTopicYN="N">drug therapy</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>1997</Year><Month>6</Month><Day>1</Day></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>1997</Year><Month>6</Month><Day>1</Day><Hour>0</Hour><Minute>1</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>1997</Year><Month>6</Month><Day>1</Day><Hour>0</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">9280983</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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