Barriers and Expectations for Patients in Post-Osteoporotic Fracture Care in France: The EFFEL Study
Autor: | Jean-Michel Joubert, Karine Briot, Robert Launois, Daniel Benamouzig, Chantal Touboul, Laure Perrin, Christian Roux, Rahma Sellami, Françoise Alliot, E. Cabout, Livia Velpry, Laurent Grange |
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Přispěvatelé: | Réseau d'Evaluation en Economie de la Santé, Centre de sociologie des organisations (Sciences Po, CNRS) (CSO), Sciences Po (Sciences Po)-Centre National de la Recherche Scientifique (CNRS), CERMES3 - Centre de recherche Médecine, sciences, santé, santé mentale, société (CERMES3 - UMR 8211 / U988 / UM 7), École des hautes études en sciences sociales (EHESS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Service de rhumatologie [CHU Cochin], Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), UCB Pharma S.A.[Braine-l'Alleud], Groupe de Recherche et d'Etude du Processus Inflammatoire (GREPI), Université Grenoble Alpes (UGA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Kantar Health [Paris] (KH), Centre de sociologie des organisations (CSO), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5)-École des hautes études en sciences sociales (EHESS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP) |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Gerontology
[SDV]Life Sciences [q-bio] Osteoporosis Population 030209 endocrinology & metabolism [SHS]Humanities and Social Sciences 03 medical and health sciences 0302 clinical medicine Surveys and Questionnaires medicine Humans Bayesian hierarchical modeling Osteoporotic fracture 030212 general & internal medicine education ComputingMilieux_MISCELLANEOUS Motivation education.field_of_study [SHS.SOCIO]Humanities and Social Sciences/Sociology business.industry Health Policy Public Health Environmental and Occupational Health Bayes Theorem medicine.disease Confidence interval Latent class model 3. Good health Systematic review Ranking business Osteoporotic Fractures |
Zdroj: | Value in Health Value in Health, Elsevier, 2021, ⟨10.1016/j.jval.2021.10.005⟩ |
ISSN: | 1098-3015 1524-4733 |
DOI: | 10.1016/j.jval.2021.10.005⟩ |
Popis: | Objectives This study aimed to quantify the relative importance of barriers to better secondary prevention of osteoporotic fractures and of care expectations expressed by patients with osteoporotic fractures in France. Methods A qualitative exploration of potential barriers to care and expectations was undertaken through a systematic literature review and in-depth patients interviews. A list of 21 barriers and 21 expectations was identified. These were presented to 324 subjects with osteoporotic fractures, identified in a representative sample of the French population, in the form of best-worst scaling questionnaires. Patients rated the relative importance of the attributes, and arithmetic mean importance scores were calculated and ranked. A Bayesian hierarchical model was also performed to generate a relative importance score. Latent class analysis was performed to identify potential subgroups of patients with different response profiles. Results A total of 7 barriers were rated as the most important, relating to awareness of osteoporosis and coordination of care. The highest-ranked barrier, “my fracture is not related to osteoporosis,” was significantly more important than all the others (mean importance score 0.45; 95% confidence interval 0.33-0.56). A similar ranking of attributes was obtained with both the arithmetic and the Bayesian approach. For expectations, no clear hierarchy of attributes was identified. Latent class analysis discriminated 3 classes of respondents with significant differences in response profiles (the educated environmentalists, the unaware, and the victims of the system). Conclusions Better quality of care of osteoporosis and effective secondary fracture prevention will require improvements in patient education, training of healthcare professionals, and coordination of care. |
Databáze: | OpenAIRE |
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