[Validity of adjusted morbidity groups with respect to clinical risk groups in the field of primary care].

Validez de los grupos de morbilidad ajustados respecto a los clinical risk groups en el ámbito de la atención primaria.

Journal

Atencion primaria
ISSN: 1578-1275
Titre abrégé: Aten Primaria
Pays: Spain
ID NLM: 9111075

Informations de publication

Date de publication:
03 2019
Historique:
received: 04 05 2017
revised: 19 07 2017
accepted: 18 09 2017
pubmed: 13 2 2018
medline: 16 5 2020
entrez: 14 2 2018
Statut: ppublish

Résumé

To compare the performance in terms of goodness of fit and explanatory power of 2morbidity groupers in primary care (PC): adjusted morbidity groups (AMG) and clinical risk groups (CRG). Cross-sectional study. PC in the Catalan Institute for the Health (CIH), Catalonia, Spain. Population allocated in primary care centers of the CIH for the year 2014. Three indicators of interest are analyzed such as urgent hospitalization, number of visits and spending in pharmacy. A stratified analysis by centers is applied adjusting generalized lineal models from the variables age, sex and morbidity grouping to explain each one of the 3variables of interest. The statistical measures to analyze the performance of the different models applied are the Akaike index, the Bayes index and the pseudo-variability explained by deviance change. The results show that in the area of the primary care the explanatory power of the AMGs is higher to that offered by the CRGs, especially for the case of the visits and the pharmacy. The performance of GMAs in the area of the CIH PC is higher than that shown by the CRGs.

Identifiants

pubmed: 29433758
pii: S0212-6567(17)30354-2
doi: 10.1016/j.aprim.2017.09.012
pmc: PMC6836969
pii:
doi:

Substances chimiques

Prescription Drugs 0

Types de publication

Comparative Study Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

spa

Sous-ensembles de citation

IM

Pagination

153-161

Informations de copyright

Copyright © 2018 The Authors. Publicado por Elsevier España, S.L.U. All rights reserved.

Références

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Auteurs

David Monterde (D)

Oficina de Estadística, Sistemas de Información, Instituto Catalán de la Salud, Departamento de Salud de la Generalidad de Cataluña, Barcelona, España. Electronic address: dmonterde@gencat.cat.

Emili Vela (E)

Unidad de Información y del Conocimiento, Servicio Catalán de la Salud, Departamento de Salud de la Generalidad de Cataluña, Barcelona, España.

Montse Clèries (M)

Unidad de Información y del Conocimiento, Servicio Catalán de la Salud, Departamento de Salud de la Generalidad de Cataluña, Barcelona, España.

Luis García Eroles (L)

Gerencia de Sistemas de Información, Servicio Catalán de la Salud, Departamento de Salud de la Generalidad de Cataluña, Barcelona, España.

Pol Pérez Sust (P)

Coordinación general de las Tecnologías de la Información y Comunicación, Departamento de Salud de la Generalidad de Cataluña, Barcelona, España.

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Classifications MeSH