Abstract：
BACKGROUND:Potentially 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. METHODS:Based 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. RESULTS:The 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. CONCLUSIONS:Regarding 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.
journal_name
BMC Health Serv Resjournal_title
BMC health services researchauthors
Bourret R,Mercier G,Mercier J,Jonquet O,De La Coussaye JE,Bousquet PJ,Robine JM,Bousquet Jdoi
10.1186/s12913-014-0661-7subject
Has Abstractpub_date
2015-01-22 00:00:00pages
4issn
1472-6963pii
s12913-014-0661-7journal_volume
15pub_type
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