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      Type II diabetes patients in primary care: profiles of healthcare utilization obtained from observational data

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          Abstract

          Background

          The high burden of diabetes for healthcare costs and their impact on quality of life and management of the disease have triggered the design and introduction of disease management programmes (DMPs) in many countries. The extent to which diabetes patients vary with regard to their healthcare utilisation and costs is largely unknown and could impact on the design of DMPs. The objectives of this study are to develop profiles based on both the diabetes-related healthcare utilisation and total healthcare utilisation in primary care, to investigate which patient and disease characteristics determine ‘membership’ of each profile, and to investigate the association between these profiles.

          Methods

          Data were used from electronic medical records of 6721 known type II diabetes patients listed in 48 Dutch general practices. Latent Class Analyses were conducted to identify profiles of healthcare and regression analyses were used to analyse the characteristics of the profiles.

          Results

          For both diabetes-related healthcare utilisation and total healthcare utilisation three profiles could be distinguished: for the diabetes-related healthcare utilisation these were characterised as ‘ high utilisation and frequent home visits’ (n=393), ‘ low utilisation, GP only’ (n=3231) and ‘ high utilisation, GP and nurse’ (n=3097). Profiles differed with respect to the patients’ age and type of medication; the oldest patients using insulin were dominant in the ‘high utilisation, GP and nurse’ profile. High total healthcare utilisation was not associated with high diabetes-related healthcare utilisation.

          Conclusions

          Healthcare utilisation of diabetes patients is heterogeneous. This challenges the development of distinguishable DMPs.

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          Most cited references13

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          Quality of life and diabetes.

          Quality of life is an important health outcome in its own right, representing the ultimate goal of all health interventions. This paper reviews the published, English-language literature on self-perceived quality of life among adults with diabetes. Quality of life is measured as physical and social functioning, and perceived physical and mental well-being. People with diabetes have a worse quality of life than people with no chronic illness, but a better quality of life than people with most other serious chronic diseases. Duration and type of diabetes are not consistently associated with quality of life. Intensive treatment does not impair quality of life, and having better glycemic control is associated with better quality of life. Complications of diabetes are the most important disease-specific determinant of quality of life. Numerous demographic and psychosocial factors influence quality of life and should be controlled when comparing subgroups. Studies of clinical and educational interventions suggest that improving patients' health status and perceived ability to control their disease results in improved quality of life. Methodologically, it is important to use multidimensional assessments of quality of life, and to include both generic and disease-specific measures. Quality of life measures should be used to guide and evaluate treatment interventions. Copyright 1999 John Wiley & Sons, Ltd.
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            Quality of life and diabetes

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              Comorbidity in patients with diabetes mellitus: impact on medical health care utilization

              Background Comorbidity has been shown to intensify health care utilization and to increase medical care costs for patients with diabetes. However, most studies have been focused on one health care service, mainly hospital care, or limited their analyses to one additional comorbid disease, or the data were based on self-reported questionnaires instead of health care registration data. The purpose of this study is to estimate the effects a broad spectrum of of comorbidities on the type and volume of medical health care utilization of patients with diabetes. Methods By linking general practice and hospital based registrations in the Netherlands, data on comorbidity and health care utilization of patients with diabetes (n = 7,499) were obtained. Comorbidity was defined as diabetes-related comorbiiabetes-related comorbidity. Multilevel regression analyses were applied to estimate the effects of comorbidity on health care utilization. Results Our results show that both diabetes-related and non diabetes-related comorbidity increase the use of medical care substantially in patients with diabetes. Having both diabeterelated and non diabetes-related comorbidity incrases the demand for health care even more. Differences in health care utilization patterns were observed between the comorbidities. Conclusion Non diabetes-related comorbidity increases the health care demand as much as diabetes-related comorbidity. Current single-disease approach of integrated diabetes care should be extended with additional care modules, which must be generic and include multiple diseases in order to meet the complex health care demands of patients with diabetes in the future.
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                Author and article information

                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central
                1472-6963
                2013
                4 January 2013
                : 13
                : 7
                Affiliations
                [1 ]NIVEL, Netherlands Institute for Health Services Research, P.O.Box 1568, Utrecht, 3500 BN, The Netherlands
                [2 ]VU University, Faculty of Earth- and Life Sciences, Department of Health Sciences and the EMGO Institute for Health and Care Research, Boelelaan 1085, Amsterdam, 1081 HV, The Netherlands
                [3 ]VU University medical center, Department of Epidemiology and Biostatistics and the EMGO Institute for Health and Care Research, Boelelaan 1085, Amsterdam, 1081 HV, The Netherlands
                [4 ]Utrecht University, Department of Sociology, Department of Human Geography, P.O.Box 80140, Utrecht, 3508 TC, The Netherlands
                [5 ]VU University medical center, Department of General Practice and the EMGO Institute for Health and Care Research, Van der Boechorstraat 7, Amsterdam, 1081 BT, The Netherlands
                [6 ]Tilburg University, Scientific Centre for Transformation in Care and Welfare (TRANZO), Tilburg 90153, 5037 AB, The Netherlands
                Article
                1472-6963-13-7
                10.1186/1472-6963-13-7
                3570342
                23289605
                9d488935-dd74-4e7f-9ab8-5dd7108aa81b
                Copyright ©2013 van Dijk 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 cited.

                History
                : 21 May 2012
                : 28 December 2012
                Categories
                Research Article

                Health & Social care
                type ii diabetes mellitus,healthcare utilisation profiles,primary care,latent class analyses

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