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What determines inclusion in the early phase of the type 2 diabetes care trajectory in Belgium?
Vanthomme, Katrien; Bossuyt, Nathalie; Moreels, Sarah; Boffin, Nicole; De Clercq, Etienne; Goderis, Geert; Van Casteren, Viviane.
Afiliação
  • Vanthomme K; Scientific Institute of Public Health, Health Services Research Unit, Brussels, Belgium.
  • Bossuyt N; Scientific Institute of Public Health, Health Services Research Unit, Brussels, Belgium.
  • Moreels S; Scientific Institute of Public Health, Health Services Research Unit, Brussels, Belgium.
  • Boffin N; Scientific Institute of Public Health, Health Services Research Unit, Brussels, Belgium.
  • De Clercq E; Université Catholique de Louvain, Institut de Recherche Santé et Société (IRSS), Brussels, Belgium.
  • Goderis G; Katholieke Universiteit Leuven, Leuven, Belgium.
  • Van Casteren V; Scientific Institute of Public Health, Health Services Research Unit, Brussels, Belgium.
Arch Public Health ; 72(1): 29, 2014.
Article em En | MEDLINE | ID: mdl-25232479
BACKGROUND: In 2009, the Belgian National Institute of Health and Disability Insurance established a care trajectory (CT) for a subgroup of type 2 diabetes mellitus patients (T2DM) based on Wagner's chronic care model. The goal of this CT is to optimise the quality of care using an integrated multidisciplinary approach. This study aims to identify patient-related factors associated with inclusion in a CT and to determine the most frequent reasons for non-inclusion. METHODS: In 2010, the Belgian Sentinel Network of General Practices conducted a prevalence study of type 2 diabetes. The surveillance study carried out by this nationwide, representative network collected unique information about eligibility for the CT, inclusion in the CT and reasons for non-inclusion. Based on the official inclusion and exclusion criteria, we first identified a group of eligible patients. Within this group, we then calculated the proportion of patients included in a CT as well as the prevalence of reasons for non-inclusion as reported by GPs. Furthermore, bivariate associations between patient-level parameters and inclusion were analysed. Finally, any patient-level parameters found to be statistically significant were included in a multivariate logistic regression model. RESULTS: The 2010 study recorded 4600 Belgian type 2 diabetes patients. According to the official criteria, 589 patients were eligible for inclusion in a CT T2DM. By the end of August 2011, 95 patients had been included in a CT T2DM. Our findings reveal that the younger the eligible patient was, the more likely he or she was to be included in a CT. Patients living in Flanders were more likely to be included in the CT than were patients living in Wallonia. Motivated patients with specific plans to change their diets were also more likely to be included in a CT. The two most frequently reported reasons for non-inclusion were participation in another diabetes care programme and the timing of this surveillance study (inclusion will take place in the near future). CONCLUSIONS: Eligible diabetes patients who were admitted to a CT T2DM during the early phases of CT implementation were mainly found to be those who are able to make progress in their disease trajectories. In the future, more attention could be paid to also include more high-risk patients.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2014 Tipo de documento: Article