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

Autor: Jean-Emmanuel de La Coussaye, Olivier Jonquet, Rodolphe Bourret, Jacques Mercier, Jean-Marie Robine, Grégoire Mercier, Philippe J. Bousquet, Jean Bousquet
Přispěvatelé: Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046] (PhyMedExp), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Département d'anesthésie-réanimation[Montpellier], Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Gui de Chauliac [CHU Montpellier], Contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc-Roussillon (MACVIA-LR), Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Universitaire de Nîmes (CHU Nîmes)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-European Innovation Partnership on Active and Healthy Ageing Reference Site (EIP on AHA), Commission Européenne-Commission Européenne-Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Caractéristiques féminines des dysfonctions des interfaces cardio-vasculaires (EA 2992), Université Montpellier 1 (UM1)-Université de Montpellier (UM), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Mécanismes moléculaires dans les démences neurodégénératives (MMDN), École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), CERMES3 - Centre de recherche Médecine, sciences, santé, santé mentale, société (CERMES3 - UMR 8211 / U988 / UM 7), École des hautes études en sciences sociales (EHESS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Recherche en épidémiologie et biostatistique, Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Gui de Chauliac [Montpellier], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Université Montpellier 1 (UM1)-Centre Hospitalier Universitaire de Nîmes (CHU Nîmes)-European Innovation Partnership on Active and Healthy Ageing Reference Site (EIP on AHA), Commission Européenne-Commission Européenne-Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Université de Montpellier (UM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de la Santé et de la Recherche Médicale (INSERM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Adult
Male
Pediatrics
medicine.medical_specialty
Adolescent
Cross-sectional study
International classification of disease
[SDV]Life Sciences [q-bio]
Primary care
Health administration
03 medical and health sciences
0302 clinical medicine
Sex Factors
Sex factors
Medicine
Humans
030212 general & internal medicine
Child
ComputingMilieux_MISCELLANEOUS
Aged
Aged
80 and over
Primary Health Care
business.industry
030503 health policy & services
Nursing research
Public health
Health Policy
Hospital discharge database
Age Factors
Infant
Newborn
Infant
Diagnosis-related groups
Length of Stay
Middle Aged
PMSI
Patient Discharge
3. Good health
Hospitalization
Cross-Sectional Studies
Child
Preschool
Female
France
Potentially avoidable hospitalizations
Severity level
0305 other medical science
business
Medical Futility
Demography
Research Article
Zdroj: BMC Health Services Research
BMC Health Services Research, 2015, 15 (1), pp.4. ⟨10.1186/s12913-014-0661-7⟩
BMC Health Services Research, BioMed Central, 2015, 15 (1), pp.4. ⟨10.1186/s12913-014-0661-7⟩
ISSN: 1472-6963
DOI: 10.1186/s12913-014-0661-7⟩
Popis: 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.
Databáze: OpenAIRE
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