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Use of medical administrative data for the surveillance of psychotic disorders in France

BACKGROUND: Psychotic disorders are among the most severe psychiatric disorders that have great effects on the individuals and the society. For surveillance of chronic low prevalence conditions such as psychotic disorders, medical administrative databases can be useful due to their large coverage of...

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Autores principales: Chan Chee, Christine, Chin, Francis, Ha, Catherine, Beltzer, Nathalie, Bonaldi, Christophe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5715638/
https://www.ncbi.nlm.nih.gov/pubmed/29202735
http://dx.doi.org/10.1186/s12888-017-1555-0
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author Chan Chee, Christine
Chin, Francis
Ha, Catherine
Beltzer, Nathalie
Bonaldi, Christophe
author_facet Chan Chee, Christine
Chin, Francis
Ha, Catherine
Beltzer, Nathalie
Bonaldi, Christophe
author_sort Chan Chee, Christine
collection PubMed
description BACKGROUND: Psychotic disorders are among the most severe psychiatric disorders that have great effects on the individuals and the society. For surveillance of chronic low prevalence conditions such as psychotic disorders, medical administrative databases can be useful due to their large coverage of the population, their continuous availability and low costs with possibility of linkage between different databases. The aims of this study are to identify the population with psychotic disorders by different algorithms based on the French medical administrative data and examine the prevalence and characteristics of this population in 2014. METHODS: The health insurance system covers the entire population living in France and all reimbursements of ambulatory care in private practice are included in a national health insurance claim database, which can be linked with the national hospital discharge databases. Three algorithms were used to select most appropriately persons with psychotic disorders through data from hospital discharge databases, reimbursements for psychotropic medication and full insurance coverage for chronic and costly conditions. RESULTS: In France in 2014, estimates of the number of individuals with psychotic disorders were 469,587 (54.6% males) including 237,808 with schizophrenia (63.6% males). Of those, 77.0% with psychotic disorders and 70.8% with schizophrenia received exclusively ambulatory care. Prevalence rates of psychotic disorders were 7.4 per 1000 inhabitants (8.3 in males and 6.4 in females) and 3.8 per 1000 inhabitants (4.9 in males and 2.6 in females) for schizophrenia. Prevalence of psychotic disorders reached a maximum of 14 per 1000 in males between 35 and 49 years old then decreased with age while in females, the highest rate of 10 per 1000 was reached at age 50 without decrease with advancing age. No such plateau was observed in schizophrenia. DISCUSSION: This study is the first in France using an exhaustive sample of medical administrative data to derive prevalence rates for psychotic disorders. Although only individuals in contact with healthcare services were included, the rates were congruent with reported estimates from systematic reviews. The feasibility of this study will allow the implementation of a national surveillance of psychotic disorders essential for healthcare management and policy planning.
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spelling pubmed-57156382017-12-08 Use of medical administrative data for the surveillance of psychotic disorders in France Chan Chee, Christine Chin, Francis Ha, Catherine Beltzer, Nathalie Bonaldi, Christophe BMC Psychiatry Research Article BACKGROUND: Psychotic disorders are among the most severe psychiatric disorders that have great effects on the individuals and the society. For surveillance of chronic low prevalence conditions such as psychotic disorders, medical administrative databases can be useful due to their large coverage of the population, their continuous availability and low costs with possibility of linkage between different databases. The aims of this study are to identify the population with psychotic disorders by different algorithms based on the French medical administrative data and examine the prevalence and characteristics of this population in 2014. METHODS: The health insurance system covers the entire population living in France and all reimbursements of ambulatory care in private practice are included in a national health insurance claim database, which can be linked with the national hospital discharge databases. Three algorithms were used to select most appropriately persons with psychotic disorders through data from hospital discharge databases, reimbursements for psychotropic medication and full insurance coverage for chronic and costly conditions. RESULTS: In France in 2014, estimates of the number of individuals with psychotic disorders were 469,587 (54.6% males) including 237,808 with schizophrenia (63.6% males). Of those, 77.0% with psychotic disorders and 70.8% with schizophrenia received exclusively ambulatory care. Prevalence rates of psychotic disorders were 7.4 per 1000 inhabitants (8.3 in males and 6.4 in females) and 3.8 per 1000 inhabitants (4.9 in males and 2.6 in females) for schizophrenia. Prevalence of psychotic disorders reached a maximum of 14 per 1000 in males between 35 and 49 years old then decreased with age while in females, the highest rate of 10 per 1000 was reached at age 50 without decrease with advancing age. No such plateau was observed in schizophrenia. DISCUSSION: This study is the first in France using an exhaustive sample of medical administrative data to derive prevalence rates for psychotic disorders. Although only individuals in contact with healthcare services were included, the rates were congruent with reported estimates from systematic reviews. The feasibility of this study will allow the implementation of a national surveillance of psychotic disorders essential for healthcare management and policy planning. BioMed Central 2017-12-04 /pmc/articles/PMC5715638/ /pubmed/29202735 http://dx.doi.org/10.1186/s12888-017-1555-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Chan Chee, Christine
Chin, Francis
Ha, Catherine
Beltzer, Nathalie
Bonaldi, Christophe
Use of medical administrative data for the surveillance of psychotic disorders in France
title Use of medical administrative data for the surveillance of psychotic disorders in France
title_full Use of medical administrative data for the surveillance of psychotic disorders in France
title_fullStr Use of medical administrative data for the surveillance of psychotic disorders in France
title_full_unstemmed Use of medical administrative data for the surveillance of psychotic disorders in France
title_short Use of medical administrative data for the surveillance of psychotic disorders in France
title_sort use of medical administrative data for the surveillance of psychotic disorders in france
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5715638/
https://www.ncbi.nlm.nih.gov/pubmed/29202735
http://dx.doi.org/10.1186/s12888-017-1555-0
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