Parturientes précaires et réhospitalisation : étude pilote au groupe hospitalier Lariboisière-Fernand-Widal de Paris

Atete-Leblanc, R.; Bréchat, Pierre-Henri; Morel, Olivier; Thoury, A.; Frati, A.; Barranger, Emmanuel

doi:10.1016/j.gyobfe.2011.08.020

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…As in the US, there are some French studies that calculate rehospitalization rates following discharge for specific medical diagnoses. 16,17 However, such studies are not comparable to recent Medicare studies of all-cause rehospitalization, within 30 days following discharge. Similarly, because Medicare includes severely disabled patients under 65 years old as well as those with end stage renal disease (ESRD), this could possibly result in an underestimate of the comparable French rate, but this is likely to be slight as most such patients are over 64 years of age.…”

Section: Discussionmentioning

confidence: 90%

Comparison of rehospitalization rates in France and the United States

Gusmano

Rodwin

Weisz

et al. 2014

J Health Serv Res Policy

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Section: Discussionmentioning

confidence: 90%

Comparison of rehospitalization rates in France and the United States

Gusmano

Rodwin

Weisz

et al. 2014

J Health Serv Res Policy

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“…To date, the majority of studies have focused on particular conditions, e . g ., patients with specific diagnoses [11–14] or socio-demographic characteristics like old age [4,15,16], limiting their generalizability [17,18]. Despite the need to target patients at high risk of rehospitalizations in order to propose cost-effective interventions at hospital level [3,19], there is very limited research addressing all-cause unplanned rehospitalizations.…”

Section: Introductionmentioning

confidence: 99%

Predictive risk score for unplanned 30-day rehospitalizations in the French universal health care system based on a medico-administrative database

et al. 2019

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BackgroundReducing unplanned rehospitalizations is one of the priorities of health care policies in France and other Western countries. An easy-to-use algorithm for identifying patients at higher risk of rehospitalizations would help clinicians prioritize actions and care concerning discharge transitions. Our objective was to develop a predictive unplanned 30-day all-cause rehospitalization risk score based on the French hospital medico-administrative database.MethodsThis was a retrospective cohort study of all 2015 discharges from acute-care inpatient hospitalizations in a tertiary-care university center comprising four hospitals. The study endpoint was unplanned 30-day all-cause rehospitalization via emergency departments, and we collected sociodemographic, clinical, and hospital characteristics based on hospitalization database computed for reimbursement of fees. We derived a predictive rehospitalization risk score using a split-sample design and multivariate logistic regression, and we compared the discriminative properties with the LACE index risk-score.ResultOur analysis included 118,650 hospitalizations, of which 4,127 (3.5%) led to rehospitalizations via emergency departments. Variables independently associated with rehospitalization were age, gender, state-funded medical assistance, as well as disease category and severity, Charlson comorbidity index, hospitalization via emergency departments, length of stay (LOS), and previous hospitalizations 6 months before. The predictive rehospitalization risk score yielded satisfactory discriminant properties (C statistic: 0.74) exceeding the LACE index (0.66).ConclusionOur findings indicate that the possibility of unplanned rehospitalization remains high for some patient characteristics, indicating that targeted interventions could be beneficial for patients at the greatest risk. We developed an easy-to-use predictive rehospitalization risk-score of unplanned 30-day all-cause rehospitalizations with satisfactory discriminant properties. Future works should, however, explore if other data from electronic medical records and other databases could improve the accuracy of our predictive rehospitalization risk score based on medico-administrative data.

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Anticoagulant‐related hospital admissions: serious adverse reactions identified through hospital databases

Heng

Rybarczyk-Vigouret

Michel

2014

Pharmacoepidemiology and Drug

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Regional PMSI database constitutes an effective tool to explore anticoagulant-related hospital admissions. Based on our study, one can state that the cost of anticoagulation therapies lies not only in the price of the drugs but also in the cost of adverse reaction management. Policy makers should be aware of this reality and should focus on better medication supervision in order to improve patient safety and reduce expenses.

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Parturientes précaires et réhospitalisation : étude pilote au groupe hospitalier Lariboisière-Fernand-Widal de Paris

Cited by 3 publications

References 13 publications

Comparison of rehospitalization rates in France and the United States

Comparison of rehospitalization rates in France and the United States

Predictive risk score for unplanned 30-day rehospitalizations in the French universal health care system based on a medico-administrative database

Anticoagulant‐related hospital admissions: serious adverse reactions identified through hospital databases

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