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      What determines inclusion in the early phase of the type 2 diabetes care trajectory in Belgium?

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          Abstract

          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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          Most cited references5

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          European primary care surveillance networks: their structure and operation.

          In many European countries, primary care surveillance networks play a role in public health surveillance. To update an inventory of surveillance networks, to describe them and to report on their organization and function in a standardized way. To investigate whether and under what conditions their information can contribute to surveillance at a European level. Surveillance networks were defined as 'A network of practices or community based primary care physicians who monitor one or more specific illness problems on a regular and continuing basis'. For the inventory questionnaires were sent out, followed by site visits to seven networks using a standardized audit checklist. We sent out 75 questionnaires and received 57 back (73% response rate), with 33 (58% of responders) fitting our selection criteria. National surveillance networks were identified in 11 countries. Many had an infectious disease surveillance component, particularly for influenza. Most were funded by the Ministry of Health, some by research funds. The median number of general practitioners was 120, comprising a stable group of general practitioners and covering a representative sample of the general population. The frequency of reporting varied from daily to annually, depending on the purpose of the network. A large number of primary care surveillance networks exist in Europe. Their value has been shown with the surveillance of influenza, but the challenge is now to extend their use to other diseases. When fulfilling identical minimal criteria they can provide comparable estimates of morbidity, ultimately leading to improved national and European surveillance.
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            The prevalence of known diabetes in eight European countries.

            The prevalence of diabetes has been proposed as a European Community Health Indicator. The prevalence of diabetes known to general practitioners (GPs) in different European countries has been investigated and the usefulness of sentinel practice networks in delivering prevalence data on diabetes has been evaluated. Patients presenting with diabetes in a 12 month period (1999/2000) to GPs in established European sentinel practice surveillance networks in eight European countries were registered. Estimates of prevalence were standardized to the 1998 European population. All-age prevalence reported in the network populations was lowest in Slovenia (male 16, female 16 per 1000) and highest in Belgium (male 31, female 34). The range of estimates obtained in this study was narrower than that published by the WHO in the Health For All database. The range was further reduced by age standardization. In males aged 45 years and over, age standardized prevalence ranged from 39 (Slovenia) to 76 (Belgium) and in females from 37 (Slovenia) to 75 (Belgium). There were no consistent gender differences in national prevalence rates. The study demonstrates the capacity of sentinel practice networks to deliver data on the prevalence of known diabetes in persons over 45 years. National differences in prevalence are less than hitherto reported. Prevalence in Belgium measured in all ages and in 45 years and over males and females was higher than in the seven other countries.
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              Tool for validation of the network of sentinel general practitioners in the Belgian health care system.

              Morbidity registration by a network of sentinel general practitioners (SGPs) in Belgium raises a number of problems related to possible biases in the network procedure, such as unequal geographical distribution, non-participation of a segment of the target population of practitioners and difficulties in the estimation of the denominator population at risk for the health problems under study. Through the application of two hierarchical clustering procedures, the initial number of 43 districts in the country has been reduced to 15 homogeneous district clusters. These represent the new geographical framework from which the geographical spread of the network is checked. This network is subsequently corrected for such socio-demographic parameters as age, sex and occupation in order to match more closely the total population of Belgian general practitioners (GPs). The population covered by the network is estimated on the basis of the annual number of patient contacts. Application of the described procedures should result in a network allowing valid estimations for a number of health issues as seen by Belgian GPs.
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                Author and article information

                Contributors
                Journal
                Arch Public Health
                Arch Public Health
                Archives of Public Health
                BioMed Central
                0778-7367
                2049-3258
                2014
                25 August 2014
                : 72
                : 1
                : 29
                Affiliations
                [1 ]Scientific Institute of Public Health, Health Services Research Unit, Brussels, Belgium
                [2 ]Université Catholique de Louvain, Institut de Recherche Santé et Société (IRSS), Brussels, Belgium
                [3 ]Katholieke Universiteit Leuven, Leuven, Belgium
                Article
                2049-3258-72-29
                10.1186/2049-3258-72-29
                4166024
                ad5b05a7-4d2a-4cac-9a48-3162fea73011
                Copyright © 2014 Vanthomme et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 15 October 2013
                : 18 April 2014
                Categories
                Research

                Public health
                type 2 diabetes mellitus,health services research,chronic care,family practice,sentinel surveillance

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