Comparison of two methods to report potentially avoidable hospitalizations in France in 2012: a cross-sectional study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-01-22

AUTHORS

Rodolphe Bourret, Grégoire Mercier, Jacques Mercier, Olivier Jonquet, Jean-Emmanuel De La Coussaye, Philippe J Bousquet, Jean-Marie Robine, Jean Bousquet

ABSTRACT

BackgroundPotentially avoidable hospitalizations represent an indirect measure of access to effective primary care. However many approaches have been proposed to measure them and results may differ considerably. This work aimed at examining the agreement between the Weissman and Ansari approaches in order to measure potentially avoidable hospitalizations in France.MethodsBased on the 2012 French national hospital discharge database (Programme de Médicalisation des Systèmes d’Information), potentially avoidable hospitalizations were measured using two approaches proposed by Weissman et al. and by Ansari et al. Age- and sex-standardised rates were calculated in each department. The two approaches were compared for diagnosis groups, type of stay, severity, age, sex, and length of stay.ResultsThe number and age-standardised rate of potentially avoidable hospitalizations estimated by the Weissman et al. and Ansari et al. approaches were 742,474 (13.3 cases per 1,000 inhabitants) and 510,206 (9.0 cases per 1,000 inhabitants), respectively. There are significant differences by conditions groups, age, length of stay, severity level, and proportion of medical stays between the Weissman and Ansari methods.ConclusionsRegarding potentially avoidable hospitalizations in France in 2012, the agreement between the Weissman and Ansari approaches is poor. The method used to measure potentially avoidable hospitalizations is critical, and might influence the assessment of accessibility and performance of primary care. More... »

PAGES

4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12913-014-0661-7

DOI

http://dx.doi.org/10.1186/s12913-014-0661-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1051647775

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25608760


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