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

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

Background

Reducing 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.

Methods

This 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.

Result

Our 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).

Conclusion

Our 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.

Comparison of rehospitalization rates in France and the United States

Objective

To compare rates of 30-day all-cause rehospitalization in France and the US among patients aged 65 years and older and explain any difference between the countries.

Methods

To calculate rehospitalization rates in France, we use an individual identifying variable in the national hospital administrative dataset to track unique individuals aged 65 years or more hospitalized in France in 2010. To calculate the proportion of rehospitalized patients (65+) who received outpatient visits between the time of initial discharge and rehospitalization, we linked the hospital database with a database that includes all medical and surgical admissions. We used step by step regression models to predict rehospitalization.

Results

Rates of rehospitalization in France (14.7%) are lower than among Medicare beneficiaries in the US (20%). We find that age, sex, patient morbidity and the ownership status of the hospital are all correlated with rehospitalization in France.

Conclusions

Lower rates of rehospitalization in France appear to be due to a combination of better access to primary care, better health among the older French population, longer lengths of stay in French hospitals and the fact that French nursing homes do not face the same financial incentive to rehospitalize residents.

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

PURPOSE

A growing number of patients today receive anticoagulants. These drugs can cause serious adverse reactions leading to patients' hospitalization. The present study aimed to assess the number of hospital admissions as a result of anticoagulant adverse reactions in Alsace, a French region of 1.8 million inhabitants, and to estimate the economic burden associated with their management.

METHODS

A retrospective analysis was performed using data extracted from the regional and anonymous hospital Programme de Médicalisation des Systèmes d'Information (PMSI) database to assess the number of hospital admissions and the associated costs. Stays from public and private hospitals were extracted from the database using two International Classification of Diseases, 10th revision, codes referring to anticoagulant drugs: 'T45.5-Poisoning by anticoagulants' and 'Y44.2-Anticoagulants' adverse effect in therapeutic use'. Costs were calculated from official French tariffs.

RESULTS

Within a 2-year period from 1 Januray 2010 to 31 December 2011, 462 anticoagulant-related hospital admissions, predominantly in elderly patients, were identified in Alsace. These stays, as a result of anticoagulant adverse reactions, represented a cost of 2 050 127.86 euros (including hospitalization and expensive drugs).

CONCLUSION

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.