ArticleBMC health services research2015
Comparison of two methods to report potentially avoidable hospitalizations in France in 2012: a cross-sectional study.
Article in BMC health services research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Twenty-year trends of potentially avoidable hospitalizations for hypertension in Switzerland.Hypertension research : official journal of the Japanese Society of Hypertension · 2024Article
- Development of the China's list of ambulatory care sensitive conditions (ACSCs): a study protocol.Global health research and policy · 2024Article
- A five year descriptive analysis of potentially preventable hospitalisations for Ear, Nose, and Throat conditions in regional Victoria, Australia, from 2015 to 2020.BMC public health · 2023Article
- Observational
- Hospitalization for ambulatory care sensitive conditions: What conditions make inter-country comparisons possible?Health policy OPEN · 2021Article
- Economic and financial crisis based on Troika's intervention and potentially avoidable hospitalizations: an ecological study in Portugal.BMC health services research · 2021Article
- Comparison and Impact of Four Different Methodologies for Identification of Ambulatory Care Sensitive Conditions.International journal of environmental research and public health · 2020Article
- Defining ambulatory care sensitive conditions for adults in Portugal.BMC health services research · 2020Article
- The effect of primary care on potentially avoidable hospitalizations in France: a cross-sectional study.BMC health services research · 2020Article
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Authors and funding
8 authors.
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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.
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