Did case-based payment influence surgical readmission rates in France? A retrospective study.

OBJECTIVES: To determine whether implementation of a case-based payment system changed all-cause readmission rates in the 30 days following discharge after surgery, we analysed all surgical procedures performed in all hospitals in France before (2002-2004), during (2005-2008) and after (2009-2012) its implementation. SETTING: Our study is based on claims data for all surgical procedures performed in all acute care hospitals with >300 surgical admissions per year (740 hospitals) in France over 11 years (2002-2012; n=51.6 million admissions). INTERVENTIONS: We analysed all-cause 30-day readmission rates after surgery using a logistic regression model and an interrupted time series analysis. RESULTS: The overall 30-day all-cause readmission rate following discharge after surgery increased from 8.8% to 10.0% (P<0.001) for the public sector and from 5.9% to 8.6% (P<0.001) for the private sector. Interrupted time series models revealed a significant linear increase in readmission rates over the study period in all types of hospitals. However, the implementation of case-based payment was only associated with a significant increase in rehospitalisation rates for private hospitals (P<0.001). CONCLUSION: In France, the increase in the readmission rate appears to be relatively steady in both the private and public sector but appears not to have been affected by the introduction of a case-based payment system after accounting for changes in care practices in the public sector.

The use of national administrative data to describe the spatial distribution of in-hospital mortality following stroke in France, 2008-2011.

BACKGROUND: In the context of implementing the National Stroke Plan in France, a spatial approach was used to measure inequalities in this disease. Using the national PMSI-MCO databases, we analyzed the in-hospital prevalence of stroke and established a map of in-hospital mortality rates with regard to the socio-demographic structure of the country. METHODS: The principal characteristics of patients identified according to ICD10 codes relative to stroke (in accordance with earlier validation work) were studied. A map of standardized mortality rates at the level of PMSI geographic codes was established. An exploratory analysis (principal component analysis followed by ascending hierarchical classification) using INSEE socio-economic data and mortality rates was also carried out to identify different area profiles. RESULTS: Between 2008 and 2011, the number of stroke patients increased by 3.85%, notably for ischemic stroke in the 36-55 years age group (60% of men). Over the same period, in-hospital mortality fell, and the map of standardized rates illustrated the diagonal of high mortality extending from the north-east to the south-west of the country. The most severely affected areas were also those with the least favorable socio-professional indicators. CONCLUSIONS: The PMSI-MCO database is a major source of data on the health status of the population. It can be used for the area-by-area observation of the performance of certain healthcare indicators, such as in-hospital mortality, or to follow the implementation of the National Stroke Plan. Our study showed the interplay between social and demographic factors and stroke-related in-hospital mortality. The map derived from the results of the exploratory analysis illustrated a variety of areas where social difficulties, aging and high mortality seemed to meet. The study raises questions about access to neuro-vascular care in isolated areas and in those in demographic decline. Telemedicine appears to be the solution favored by decision makers. The aging of the population managed for stroke must not mask the growing incidence in younger people, which raises questions about the development of classical (smoking, hypertension) or new (drug abuse) risk factors.

A data mining approach for grouping and analyzing trajectories of care using claim data: the example of breast cancer.

BACKGROUND: With the increasing burden of chronic diseases, analyzing and understanding trajectories of care is essential for efficient planning and fair allocation of resources. We propose an approach based on mining claim data to support the exploration of trajectories of care. METHODS: A clustering of trajectories of care for breast cancer was performed with Formal Concept Analysis. We exported Data from the French national casemix system, covering all inpatient admissions in the country. Patients admitted for breast cancer surgery in 2009 were selected and their trajectory of care was recomposed with all hospitalizations occuring within one year after surgery. The main diagnoses of hospitalizations were used to produce morbidity profiles. Cumulative hospital costs were computed for each profile. RESULTS: 57,552 patients were automatically grouped into 19 classes. The resulting profiles were clinically meaningful and economically relevant. The mean cost per trajectory was 9,600€. Severe conditions were generally associated with higher costs. The lowest costs (6,957€) were observed for patients with in situ carcinoma of the breast, the highest for patients hospitalized for palliative care (26,139€). CONCLUSIONS: Formal Concept Analysis can be applied on claim data to produce an automatic classification of care trajectories. This flexible approach takes advantages of routinely collected data and can be used to setup cost-of-illness studies.

Market empowerment of the patient: the French experience.

Through analysis of the French experience, this article explores the way economic policy has sought to encourage active, well-informed patients by giving them market power. The new status of the patient as consumer is based on two foundations: the endeavour to build a healthcare market and the activation of demand-based policies. The keystone of this new system is a conception of the market as a process constructed by economic policy. Recent measures such as the standardization of care and the introduction of incentives to respect a treatment pathway then constitute effective levers to establish a free-market rationale.

[Toxoplasmosis seroconversion in pregnant women. The differing attitudes in France]. / Séroconversion toxoplasmique chez la femme enceinte. Les différentes attitudes françaises.

INTRODUCTION: Since 1992 France has been running a toxoplasmosis prevention program based on the serological detection of infections during pregnancy. In the absence of a consensus, the seroconversions discovered are managed in different ways, varying from one centre to another. OBJECTIVE: To describe the habits of the specialised centres in France and propose means to reduce the heterogeneity. METHODS: A survey using a questionnaire mailed to the centres of parasitology in France specialised in the management of toxoplasmosis seroconversion during pregnancy. RESULTS: All the 30 centres surveyed replied. Five of them do not provide recommendations for treatment and were excluded from analysis. The attitudes of the 25 other centres varied greatly with regard to the indications for therapeutic abortion and amniocentesis, treatment protocols with pyrimethamine and sulfamides, as well as in the frequency of sonographical monitoring. CONCLUSION: In the absence of National guidelines, the management of seroconversions discovered during the prenatal prevention of congenital toxoplasmosis program is left to the discretion of the specialised centre. This results in variations from one town to the next. This heterogeneity underlines the lack of knowledge on the most efficient and acceptable means of preventing and treating congenital toxoplasmosis. In order to improve this situation, the French parasitologists have launched a program of consensual meetings aimed at harmonising the treatment protocols and identifying the points that require further studies.