23 research outputs found

    Guide mĂ©thodologique sur le calcul et l’analyse des coĂ»ts hospitaliers

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    Ce guide a Ă©tĂ© rĂ©alisĂ© sous l’égide de la ConfĂ©rence Nationale des Directeurs GĂ©nĂ©raux des Centres Hospitaliers Universitaires (CHU), Commission Recherche Innovation (co-auteurs : Anne-Claire Bertaux, , NadĂšge Costa, Fanette DeniĂšs, Benoit Dervaux, Camille Dutot, Pascale Guerre, Nathalie Havet, Nathalie Hayes, Anne-GaĂ«lle Le Corroller Soriano, Catherine Lejeune, BĂ©ranger Lueza, Jennifer Margier, Magali Morelle, Arnaud PagĂšs, Morgane Plantier, ValĂ©ry-Pierre Riche).International audienc

    Guide mĂ©thodologique sur le calcul et l’analyse des coĂ»ts hospitaliers

    No full text
    Ce guide a Ă©tĂ© rĂ©alisĂ© sous l’égide de la ConfĂ©rence Nationale des Directeurs GĂ©nĂ©raux des Centres Hospitaliers Universitaires (CHU), Commission Recherche Innovation (co-auteurs : Anne-Claire Bertaux, , NadĂšge Costa, Fanette DeniĂšs, Benoit Dervaux, Camille Dutot, Pascale Guerre, Nathalie Havet, Nathalie Hayes, Anne-GaĂ«lle Le Corroller Soriano, Catherine Lejeune, BĂ©ranger Lueza, Jennifer Margier, Magali Morelle, Arnaud PagĂšs, Morgane Plantier, ValĂ©ry-Pierre Riche).International audienc

    CoĂ»ts unitaires standards ou coĂ»ts unitaires spĂ©cifiques : quels critĂšres de choix pour l’évaluation Ă©conomique de stratĂ©gies de santĂ© dans les Ă©tudes multicentriques ?

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    International audienceThe question of what monetary value should be assigned to consumed resources, that is to say the choice of the unit cost, is a major consideration in terms of impact on the cost analysis results. To date, no agreement has been reached regarding this methodological question. The choices made by methodologists and the subsequent impact on the results of the analysis are only rarely put forward. This work addresses the theoretical framework of health strategy evaluations that can be carried out either in the normative framework of the conventional economic approach of well-being, referred to as welfarist, or in that of an approach referred to as extra-welfarist. It also provides elements that help clarify the choice of the hospital unit costs used to calculate the cost of health strategies, so as to reconcile the use of such studies and improve their comparability. What is preferable, opting for specific per hospital unit costs or applying a standard unit cost to all facilities? How should a standard cost be calculated? Is it appropriate to calculate an average of the unit costs, as recommended by certain guidelines? The advantages and the limitations of the various modes of assessing hospital resources in the setting of multicentric trials are discussed

    Multidimensional impact of breast cancer screening: Results of the multicenter prospective optisoins01 study.

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    Breast cancer (BC) screening has been developed to detect earlier stage tumors associated with better prognosis. The aim of study was to evaluate the impact of BC screening on therapeutic management of patients with first operable BC, and on costs, patients' needs, and working life. OPTISOINS01 was a multicenter, prospective observational study which aimed to identify the main care pathway of early BC. Among patients aged from 50 to 74 years-old, 2 groups were defined: the "Clinical signs" group and the "Screening" group (national organized screening and individual screening). We compared between these 2 groups: locoregional and systemic treatments, direct medical and non-medical costs from a National Health Insurance perspective, patients' needs assessed by the validated SCNS-BR8 "breast cancer" module of the SCNS-SF34 supportive care needs survey and the duration of sick leave. The "Clinical signs" group included 89 patients, while the"Screening" group included 290 patients. More axillary lymph node dissections and radical breast surgery were performed in the "Clinical signs". The rate of adjuvant chemotherapy was dramatically higher in the "Clinical signs" group. The median direct medical costs of the "Screening" group were €11,860 (€3,643-€41,030) per year and per patient, much lower than in the "Clinical signs" group (€14,940; €5,317-€41,070). Finally, needs specifically assessed by the SCNS-BR8 questionnaire were significantly higher for the postoperative and post-adjuvant periods in the "Clinical signs" group. This study highlighted the benefit of BC screening in terms of reduced therapies and positive impact on work and social life

    Economic Evaluation of Telerehabilitation: Systematic Literature Review of Cost-Utility Studies

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    BackgroundTelerehabilitation could benefit a large population by increasing adherence to rehabilitation protocols. ObjectiveOur objective was to review and discuss the use of cost-utility approaches in economic evaluations of telerehabilitation interventions. MethodsA review of the literature on PubMed, Scopus, Centres for Review and Dissemination databases (including the HTA database, the Database of Abstracts of Reviews of Effects, and the NHS Economic Evaluation Database), Cochrane Library, and ClinicalTrials.gov (last search on February 8, 2021) was conducted in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The inclusion criteria were defined in accordance with the PICOS (population, intervention, comparison, outcomes, and study design) system: the included studies had to evaluate patients in rehabilitation therapy for all diseases and disorders (population) through exercise-based telerehabilitation (intervention) and had to have a control group that received face-to-face rehabilitation (comparison), and these studies had to evaluate effectiveness through gain in quality of life (outcome) and used the design of randomized and controlled clinical studies (study). ResultsWe included 11 economic evaluations, of which 6 concerned cardiovascular diseases. Several types of interventions were assessed as telerehabilitation, consisting in monitoring of rehabilitation at home (monitored by physicians) or a rehabilitation program with exercise and an educational intervention at home alone. All studies were based on randomized clinical trials and used a validated health-related quality of life instrument to describe patients’ health states. Four evaluations used the EQ-5D, 1 used the EQ-5D-5L, 2 used the EQ-5D-3L, 3 used the Short-Form Six-Dimension questionnaire, and 1 used the 36-item Short Form survey. The mean quality-adjusted life years gained using telerehabilitation services varied from –0.09 to 0.89. These results were reported in terms of the probability that the intervention was cost-effective at different thresholds for willingness-to-pay values. Most studies showed results about telerehabilitation as dominant (ie, more effective and less costly) together with superiority or noninferiority in outcomes. ConclusionsThere is evidence to support telerehabilitation as a cost-effective intervention for a large population among different disease areas. There is a need for conducting cost-effectiveness studies in countries because the available evidence has limited generalizability in such countries. Trial RegistrationPROSPERO CRD42021248785; https://tinyurl.com/4xurdvw

    Influence of geographic access and socioeconomic characteristics on breast cancer outcomes: A systematic review

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    Socio-economic and geographical inequalities in breast cancer mortality have been widely described in European countries and the United States. To investigate the combined effects of geographic access and socio-economic characteristics on breast cancer outcomes, a systematic review was conducted exploring the relationships between: (i) geographic access to healthcare facilities (oncology services, mammography screening), defined as travel time and/or travel distance; (ii) breast cancer-related outcomes (mammography screening, stage of cancer at diagnosis, type of treatment and rate of mortality); (iii) socioeconomic status (SES) at individuals and residential context levels. In total, n = 25 studies (29 relationships tested) were included in our systematic review. The four main results are: The statistical significance of the relationship between geographic access and breast cancer-related outcomes is heterogeneous: 15 were identified as significant and 14 as non-significant. Women with better geographic access to healthcare facilities had a statistically significant fewer mastectomy (n = 4/6) than women with poorer geographic access. The relationship with the stage of the cancer is more balanced (n = 8/17) and the relationship with cancer screening rate is not observed (n = 1/4). The type of measures of geographic access (distance, time or geographical capacity) does not seem to have any influence on the results. For example, studies which compared two different measures (travel distance and travel time) of geographic access obtained similar results. The relationship between SES characteristics and breast cancer-related outcomes is significant for several variables: at individual level, age and health insurance status; at contextual level, poverty rate and deprivation index. Of the 25 papers included in the review, the large majority (n = 24) tested the independent effect of geographic access. Only one study explored the combined effect of geographic access to breast cancer facilities and SES characteristics by developing stratified models

    Influence of geographic access and socioeconomic characteristics on breast cancer outcomes: A systematic review

    No full text
    International audienceSocioeconomic and geographical inequalities in breast cancer mortality have been widely described in European countries and the United States. To investigate the combined effects of geographic access and socioeconomic characteristics on breast cancer outcomes, a systematic review was conducted exploring the relationships between: (i) geographic access to healthcare facilities (oncology services, mammography screening), defined as travel time and/or travel distance; (ii) breast cancer-related outcomes (mammography screening, stage of cancer at diagnosis, type of treatment and rate of mortality); (iii) socioeconomic status (SES) at individuals and residential context levels. In total, n = 25 studies (29 relationships tested) were included in our systematic review. The four main results are: The statistical significance of the relationship between geographic access and breast cancer-related outcomes is heterogeneous: 15 were identified as significant and 14 as non-significant. Women with better geographic access to healthcare facilities had a statistically significant fewer mastectomy (n = 4/6) than women with poorer geographic access. The relationship with the stage of the cancer is more balanced (n = 8/17) and the relationship with cancer screening rate is not observed (n = 1/4). The type of measures of geographic access (distance, time or geographical capacity) does not seem to have any influence on the results. For example, studies which compared two different measures (travel distance and travel time) of geographic access obtained similar results. The relationship between SES characteristics and breast cancer-related outcomes is significant for several variables: at individual level, age and health insurance status; at contextual level, poverty rate and deprivation index. Of the 25 papers included in the review, the large majority (n = 24) tested the independent effect of geographic access. Only one study explored the combined effect of geographic access to breast cancer facilities and SES characteristics by developing stratified models

    Impact of Next Generation Sequencing on Clinical Practice in Oncology in France: Better Genetic Profiles for Patients Improve Access to Experimental Treatments

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    International audienceObjectives: We evaluated how next generation sequencing (NGS) can modify care pathways in an observational impact study in France.Methods: All patients with lung cancer, colorectal cancer, or melanoma who had NGS analyses of somatic genomic alterations done in 1 of 7 biomolecular platforms certified by the French National Cancer Institute (INCa) between 2013 and 2016 were eligible. We compared patients' pathways before and after their NGS results. Endpoints consisted of the turnaround time in obtaining results, the number of patients with at least 1 genomic alteration identified, the number of actionable alterations, the impact of the genomic multidisciplinary tumor board on care pathways, the number of changes in the treatment plan, and the survival outcome up to 1 year after NGS analyses.Results: 1213 patients with a request for NGS analysis were included. NGS was performed for 1155 patients, identified at least 1 genomic alteration for 867 (75%), and provided an actionable alteration for 614 (53%). Turnaround time between analyses and results was on average 8 days (Min: 0; Max: 95) for all cancer types. Before NGS analysis, 33 of 614 patients (5%) were prescribed a targeted therapy compared with 54 of 614 patients (8%) after NGS analysis. Proposition of inclusion in clinical trials with experimental treatments increased from 5% (n = 31 of 614) before to 28% (n = 178 of 614) after NGS analysis. Patients who benefited from a genotype matched treatment after NGS analysis tended to have a better survival outcome at 1 year than patients with nonmatched treatment: 258 days (±107) compared with 234 days (±106), (P = .41).Conclusions: NGS analyses resulted in a change in patients' care pathways for 20% of patients (n = 232 of 1155)
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