Construction of a methodological framework for the analysis of medical information within the French prospective payment system

En dépit de la production standardisée de millions d'enregistrements décrivant année après année l'activité d'hospitalisation complète en France, aucune étude globale, aucun suivi précis et répété dans le temps, n'a pu être mené à partir de ces données.Si ces données sont exploitées dans une grande variété d'études spécifiques, elles peinent à trouver une utilisation significative dans l'analyse de l'activité et du recrutement des établissements de santé, ou dans celle des besoins de la population. Tout un pan d'analyse de l'efficience du système de santé reste ainsi inaccessible.Nous nous fixons comme objectif de contribuer à développer un cadre précis d'exploitation de ces données. Cette démarche se fera en trois temps :- Définition d'une méthode de consolidation des données ;- Construction de référentiels d'analyse des données ;- Elaboration de méthodes d'analyse sur deux thématiques générales : la caractérisation de l'activité des établissements et l'étude de leur recrutement, avec exemple d'application de ces méthodes.Millions of computerized records describing inpatient hospitalization activity are produced year after year in France.In spite of the availability of this massive amount of data, no global, iterative and well calibrated related study on health system efficiency has been possible.There are of course many specific studies partially or totally relying on these data, but their systematic use for assessing hospital activity, catchment areas or population health needs remains to be implented.Our work aims to contribute to create a methodological framework for analyzing these data through a three step approach :- Definition of data consolidation methods ;- Creation of adequate data repositories ;- Determination of analysis methods for two general topics : hospital activity characterization and study, with example applications

Elaboration d'un cadre méthodologique pour l'analyse de l'information médicale de la tarification à l'activité

Millions of computerized records describing inpatient hospitalization activity are produced year after year in France.In spite of the availability of this massive amount of data, no global, iterative and well calibrated related study on health system efficiency has been possible.There are of course many specific studies partially or totally relying on these data, but their systematic use for assessing hospital activity, catchment areas or population health needs remains to be implented.Our work aims to contribute to create a methodological framework for analyzing these data through a three step approach :- Definition of data consolidation methods ;- Creation of adequate data repositories ;- Determination of analysis methods for two general topics : hospital activity characterization and study, with example applications.En dépit de la production standardisée de millions d'enregistrements décrivant année après année l'activité d'hospitalisation complète en France, aucune étude globale, aucun suivi précis et répété dans le temps, n'a pu être mené à partir de ces données.Si ces données sont exploitées dans une grande variété d'études spécifiques, elles peinent à trouver une utilisation significative dans l'analyse de l'activité et du recrutement des établissements de santé, ou dans celle des besoins de la population. Tout un pan d'analyse de l'efficience du système de santé reste ainsi inaccessible.Nous nous fixons comme objectif de contribuer à développer un cadre précis d'exploitation de ces données. Cette démarche se fera en trois temps :- Définition d'une méthode de consolidation des données ;- Construction de référentiels d'analyse des données ;- Elaboration de méthodes d'analyse sur deux thématiques générales : la caractérisation de l'activité des établissements et l'étude de leur recrutement, avec exemple d'application de ces méthodes

CartoFrance

Référentiel de correspondance entre niveaux de découpage géographique

CardioCovid

Change in incidence of cardiovascular diseases during the covid-19 pandemic and vaccination campaign: data from the nationwide French hospital discharge databas

Medico-economic impact of enhanced rehabilitation after surgery: an exhaustive, nation-wide claims study

International audienceBackground: Study of the medico economic impact of enhanced rehabilitation after surgery (ERAS), by comparing the cost of patient care with or without ERAS, both from the point of view of the hospitals and the Social Security Health Insurance Program. Methods: Retrospective longitudinal study on matched data from March 1, 2019 to December 31, 2019. The data are extracted from the French prospective payment system. We studied 12 of the most commonly performed in ERAS business segments. The primary outcome was the reduction of the average length of hospital stay and its implications on production costs and excess capacity. We also studied the impact on hospital incomes and Social Security Insurance Program expenses. The potential gain in hospital days was computed by comparing the length of stay of ERAS and non-ERAS cases. The cost reduction was estimated using the mean number of avoidable days of hospitalization, and the mean cost of the stays obtained from the national cost study. Finally, we studied an approximation of the additional expense for the Social Security Health Insurance Program on costs standardized by applying public sector rates. Results: The average length of stay reduction attributed to ERAS is 1.45 (CI 95% 1.42 to 1.48) day per stay, translating to a cost reduction for the hospitals of € 1060 (CI 95% 995 to 1125) per patient and a total of €65 million (CI 95% 61 to 69). At the same time, the additional expenses for the Social Security Insurance Program can conservatively be approximated to € 1.6 million, breaking into a € 2.2 million increase partially compensated by cost savings of € 0.6 million over subsequent stays for complications. Overall, for each percent of additional ERAS activity over the scope of the study, the marginal cost reduction for the hospitals can be estimated to € 1.8 million (CI 95% 1.7 million to 2.0 million). Conclusions: Associated with previously known clinical benefits for the patients, these convincing results in terms of economic gain strongly support expanding the adoption of ERAS

Assessment of All-Cause Cancer Incidence Among Individuals With Preeclampsia or Eclampsia During First Pregnancy

International audienceImportance: Preeclampsia or eclampsia (preeclampsia/eclampsia) during pregnancy induces major physiological changes and may be associated with specific cancer occurrences in later life. The current data regarding the association between preeclampsia/eclampsia and cancer are heterogeneous, and cancer risk after preeclampsia/eclampsia could be different depending on the organ. These uncertainties warrant reexamination of the association between preeclampsia/eclampsia and the risk of cancer overall and by specific cancer type.Objective: To evaluate the risk of cancer, overall and by type, after preeclampsia/eclampsia during a first pregnancy.Design, setting, and participants: This retrospective cohort study used data from the French hospital discharge database to identify all female individuals who had a pregnancy-associated hospitalization between January 1, 2010, and December 31, 2019. To allow a minimum of 2 years for the detection of medical history, individuals with a first detected pregnancy before January 1, 2012, were excluded, as were those with a cancer-associated hospitalization before or during their first detected pregnancy. Exposures, comorbidities, and occurrences of cancer were evaluated using data from the medico-administrative registers of hospitalizations in private and public French hospitals. Cox proportional hazards models were used to analyze cancer risk according to the occurrence of preeclampsia/eclampsia during first pregnancy.Exposures: Preeclampsia/eclampsia-associated hospitalization during the first detected pregnancy.Main outcomes and measures: The primary outcome was the incidence of cancer, including myelodysplastic or myeloproliferative diseases, after a first pregnancy with and without preeclampsia/eclampsia.Results: After exclusions, a total of 4 322 970 female individuals (mean [SD] age at first detected pregnancy, 29.6 [6.2] years) with and without preeclampsia/eclampsia during their first pregnancy were included. Of those, 45 523 individuals (1.1%) were diagnosed with preeclampsia/eclampsia during their first detected pregnancy. The maximum follow-up was 8 years, during which 29 173 individuals (0.7%) were diagnosed with cancer. No significant difference in overall cancer incidence was found between those with and without preeclampsia/eclampsia during their first pregnancy (adjusted hazard ratio [AHR], 0.94; 95% CI, 0.84-1.05). Preeclampsia/eclampsia was associated with an increase in the risk of myelodysplastic syndromes or myeloproliferative diseases (AHR, 2.43; 95% CI, 1.46-4.06) and kidney cancer (AHR, 2.19; 95% CI, 1.09-4.42) and a decrease in the risk of breast cancer (AHR, 0.79; 95% CI, 0.62-0.99) and cervical cancer (AHR, 0.75; 95% CI, 0.58-0.96).Conclusions and relevance: In this study, a history of preeclampsia/eclampsia during first pregnancy was associated with an increase in the incidence of myelodysplastic or myeloproliferative diseases and kidney cancer and a decrease in the incidence of cervical and breast cancers. These associations might reflect an underlying common factor among preeclampsia/eclampsia and these pathologies and/or an association between preeclampsia/eclampsia and the development of these cancers

Identifying Life-Threatening Admissions for Drug Dependence or Abuse (ILIADDA): Derivation and Validation of a Model.

International audienceGiven that drug abuse and dependence are common reasons for hospitalization, we aimed to derive and validate a model allowing early identification of life-threatening hospital admissions for drug dependence or abuse. Using the French National Hospital Discharge Data Base, we extracted 66,101 acute inpatient stays for substance abuse, dependence, mental disorders or poisoning associated with medicines or illicit drugs intake, recorded between January 1st, 2009 and December 31st, 2014. We split our study cohort at the center level to create a derivation cohort and a validation cohort. We developed a multivariate logistic model including patient's age, sex, entrance mode and diagnosis as predictors of a composite primary outcome of in-hospital death or ICU admission. A total of 2,747 (4.2%) patients died or were admitted to ICU. The risk of death or ICU admission was mainly associated with the consumption of opioids, followed by cocaine and other narcotics. Particularly, methadone poisoning was associated with a substantial risk (OR: 35.70, 95% CI [26.94-47.32], P < 0.001). In the validation cohort, our model achieved good predictive properties in terms of calibration and discrimination (c-statistic: 0.847). This allows an accurate identification of life-threatening admissions in drug users to support an early and appropriate management

How traditional and digital analytics interventions can enhance lung-protective ventilation strategies during general anaesthesia: A two-year quality improvement project analysis

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Outcomes After Hip Fracture Surgery Compared With Elective Total Hip Replacement

International audienceIMPORTANCE Patients undergoing surgery for a hip fracture have a higher risk of mortality and major complications compared with patients undergoing an elective total hip replacement (THR) operation. The effect of older age and comorbidities associated with hip fracture on this increased perioperative risk is unknown. OBJECTIVE To determine if there was a difference in hospital mortality among patients who underwent hip fracture surgery relative to an elective THR, after adjustment for age, sex, and preoperative comorbidities. DESIGN, SETTING, AND PARTICIPANTS Using the French National Hospital Discharge Database from January 2010 to December 2013, patients older than 45 years undergoing hip surgery at French hospitals were included. The International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10), codes were used to determine patients' comorbidities and complications after surgery. A population matched for age, sex, and preoperative comorbidities of patients who underwent elective THR or hip fracture surgery was created using a multivariable logistic model and a greedy matching algorithm with a 1: 1 ratio. EXPOSURE Hip fracture. MAIN OUTCOMES AND MEASURES Postoperative in-hospital mortality. RESULTS A total of 690 995 eligible patients were included from 864 centers in France. Patients undergoing elective THR surgery (n = 371 191) were younger, more commonly men, and had less comorbidity compared with patients undergoing hip fracture surgery. Following hip fracture surgery (n = 319 804), 10 931 patients (3.42%) died before hospital discharge and 669 patients (0.18%) died after elective THR. Multivariable analysis of the matched populations (n = 234 314) demonstrated a higher risk of mortality (1.82% for hip fracture surgery vs 0.31% for elective THR; absolute risk increase, 1.51% [95% CI, 1.46%-1.55%]; relative risk [RR], 5.88 [95% CI, 5.26-6.58]; P <.001) and of major postoperative complications (5.88% for hip fracture surgery vs 2.34% for elective THR; absolute risk increase, 3.54%[95% CI, 3.50%-3.59%]; RR, 2.50 [95% CI, 2.40-2.62]; P <.001) among patients undergoing hip fracture surgery. CONCLUSIONS AND RELEVANCE In a large cohort of French patients, hip fracture surgery compared with elective THR was associated with a higher risk of in-hospital mortality after adjustment for age, sex, and measured comorbidities. Further studies are needed to define the causes for these differences