Les bases médico-administratives pour mesurer les inégalités sociales de santé (notice n° 1578651)
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| fixed length control field | 04872cam a2200433 4500500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251228045454.0 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | fre |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | dc |
| 100 10 - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ducros, Denis |
| Relator term | author |
| 245 00 - TITLE STATEMENT | |
| Title | Les bases médico-administratives pour mesurer les inégalités sociales de santé |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Date of publication, distribution, etc. | 2015.<br/> |
| 500 ## - GENERAL NOTE | |
| General note | 4 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Objectif : La capacité à mesurer les inégalités sociales de santé (ISS) est un préalable à la mise en œuvre des politiques territoriales de réduction de ces inégalités. L’absence d’informations individuelles à caractère socio-économique dans les bases de données médico-administratives ne permet pas de les évaluer directement. L’objectif est de proposer une méthode de mesure des ISS à partir des bases de données de l’Assurance maladie et d’un indicateur écologique agrégé de défavorisation. Méthodes : Vingt-sept indicateurs de recours aux soins et à la prévention ont été construits comme marqueurs potentiels d’ISS. Les bases de données médico-administratives ont été complétées avec un indice de défavorisation disponible à l’IRIS, l’ European Deprivation Index. Un indicateur d’accessibilité spatiale potentielle est également calculé afin de prendre en compte la distribution spatiale de l’offre de soins. Résultats : La population de l’étude comprenait les données issues des trois principaux régimes d’Assurance maladie, soit 89 % de la population de la région Midi-Pyrénées. 98 % ont pu être géocodés. Les 27 indicateurs ont donc été calculés sur 2 574 310 personnes, soit 87 % de la population régionale. Conclusion : Ce travail montre l’intérêt d’utiliser les données médico-administratives pour créer des bases de données permettant de mesurer les ISS et leurs évolutions en région. Les indicateurs proposés pourraient être utilisés comme outils d’aide à la décision en matière de sélection de territoires d’intervention et permettre d’apprécier l’impact des politiques publiques mises en œuvre en faveur de la réduction des ISS. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Use of medical and administrative databases to measure social health inequalities Objective : The ability to measure social health inequalities is a prerequisite to the implementation of local policies designed to reduce such inequalities. The absence of individual socioeconomic data in medical and administrative databases does not allow direct evaluation of those inequalities. The objective of this study is to propose a method of measurement of social health inequalities from national health insurance databases and a validated deprivation index. Methods : 27 health care and prevention indicators were constructed to identify social health inequalities. Medical and administrative databases were cross-matched with the European Deprivation Index, completed by a potential spatial accessibility indicator in order to take into account the spatial distribution healthcare services. Results : The study population comprised data derived from the three main health insurance schemes, and represents 89% of the population of the Midi-Pyrénées region. 98% were able to be geographically coded. The 27 indicators were therefore calculated on a total of 2,574,310 individuals, i.e. 87% of the regional population. Conclusion : This study illustrates the value of using medical and administrative data to create databases allowing measurement of social health inequalities and their variations within a region. The proposed indicators could be used as decision-making tools for the selection of zones of intervention and to assess the impact of public policies designed to reduce social health inequalities. |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | accessibilité des services de santé |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | bases de données médico-administratives |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | consommation de soins |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | disparités d’accès aux soins |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | disparités d’état sanitaire |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | inégalités sociales de santé |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | midi-Pyrénées |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | offre de soins |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | disparities of access to care |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | health care utilization |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | health disparities |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | medical and administrative database health services accessibility |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | midi-Pyrénées |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | social health inequalities |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Nicoules, Valérie |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chehoud, Haithem |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Bayle, Annette |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Souche, Arnaud |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Tanguy, Maëla |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Valière, Jean-Paul |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Cayla, Françoise |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Grosclaude, Pascale |
| Relator term | author |
| 786 0# - DATA SOURCE ENTRY | |
| Note | Santé Publique | 27 | 3 | 2015-08-13 | p. 383-394 | 0995-3914 |
| 856 41 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://stm.cairn.info/revue-sante-publique-2015-3-page-383?lang=fr&redirect-ssocas=7080">https://stm.cairn.info/revue-sante-publique-2015-3-page-383?lang=fr&redirect-ssocas=7080</a> |
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