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Purpose: The study aims to support decision making on how best to redesign diabetes care by investigating three potential sources of heterogeneity in effectiveness across trials of diabetes care management., Methods: Medline, CINAHL and PsycInfo were searched for systematic reviews and empirical studies focusing on: (1) diabetes mellitus; (2) adult patients; and (3) interventions consisting of at least two components of the chronic care model (CCM). Systematic reviews were analysed descriptively; empirical studies were meta-analysed. Pooled effect measures were estimated using a meta-regression model that incorporated study quality, length of follow-up and number of intervention components as potential predictors of heterogeneity in effects., Results: Overall, reviews (n = 15) of diabetes care programmes report modest improvements in glycaemic control. Empirical studies (n = 61) show wide-ranging results on HbA1c, systolic blood pressure and guideline adherence. Differences between studies in methodological quality cannot explain this heterogeneity in effects. Variety in length of follow-up can explain (part of) the variability, yet not across all outcomes. Diversity in the number of included intervention components can explain 8-12% of the heterogeneity in effects on HbA1c and systolic blood pressure., Conclusions: The outcomes of chronic care management for diabetes are generally positive, yet differ considerably across trials. The most promising results are attained in studies with limited follow-up (<1 year) and by programmes including more than two CCM components. These factors can, however, explain only part of the heterogeneity in effectiveness between studies. Other potential sources of heterogeneity should be investigated to ensure implementation of evidence-based improvements in diabetes care., (© 2012 John Wiley & Sons Ltd.)

Background: Despite the favorable effects of behavior change interventions on diabetes risk, lifestyle modification is a complicated process. In this study we therefore investigated opportunities for refining a lifestyle intervention for type 2 diabetes prevention, based on participant perceptions of behavior change progress., Methods: A 30 month intervention was performed in Dutch primary care among high-risk individuals (FINDRISC-score ≥ 13) and was compared to usual care. Participant perceptions of behavior change progress for losing weight, dietary modification, and increasing physical activity were assessed after18 months with questionnaires. Based on the response, participants were categorized as 'planners', 'initiators' or 'achievers' and frequencies were evaluated in both study groups. Furthermore, participants reported on barriers for lifestyle change., Results: In both groups, around 80% of all participants (intervention: N = 370; usual care: N = 322) planned change. Except for reducing fat intake (p = 0.08), the number of initiators was significantly higher in the intervention group than in usual care. The percentage of achievers was high for the dietary and exercise objectives (intervention: 81-95%; usual care: 83-93%), but was lower for losing weight (intervention: 67%; usual care: 62%). Important motivational barriers were 'I already meet the standards' and 'I'm satisfied with my current behavior'. Temptation to snack, product taste and lack of time were important volitional barriers., Conclusions: The results suggest that the intervention supports participants to bridge the gap between motivation and action. Several opportunities for intervention refinement are however revealed, including more stringent criteria for participant inclusion, tools for (self)-monitoring of health, emphasis on the 'small-step-approach', and more attention for stimulus control., Trial Registration: Netherlands Trial Register: NTR1082.

Background: Worldwide, the organisation of diabetes care is changing. As a result general practices and diabetes teams in hospitals are becoming part of new organisations in which multidisciplinary care programs are implemented. In the Netherlands, 97 diabetes care groups and 104 outpatient clinics are working with a diabetes care program. Both types of organisations aim to improve the quality of diabetes care. Therefore, it is essential to understand the comprehensive elements needed for optimal quality management at organisational level. This study aims to assess the current level of diabetes quality management in both care groups and outpatient clinics and its improvement after providing feedback on their quality management system and tailored support., Methods/design: This study is a before-after study with a one-year follow-up comparing the levels of quality management before and after an intervention to improve diabetes quality management. To assess the status of quality management, online questionnaires were developed based on current literature. They consist of six domains: organisation of care, multidisciplinary teamwork, patient centeredness, performance management, quality improvement policy and management strategies. Based on the questionnaires, respondents will receive feedback on their score in a radar diagram and an elucidating table. They will also be granted access to an online toolbox with instruments that proved to be effective in quality of care improvement and with practical examples. If requested, personal support in implementing these tools will be available. After one year quality management will be measured again using the same questionnaire., Discussion: This study will reveal a nationwide picture of quality management in diabetes care groups and outpatient clinics in the Netherlands and evaluate the effect of offering tailored support. The operationalisation of quality management on organisational level may be of interest for other countries as well.

Aims: Depression and anxiety are relatively common in patients with diabetes, but it is unclear whether migrant patients with diabetes are at increased risk for emotional distress. We determined levels of emotional distress in patients with diabetes with a Turkish, Moroccan or Dutch ethnic background and compare distress levels with healthy control subjects. Among patients with diabetes, we examined demographic and clinical correlates of higher levels of emotional distress., Methods: Cross-sectional data were collected within the framework of the population-based Amsterdam Health Monitor Survey. Adult participants were interviewed to assess demographics, presence of chronic disease(s) and ethnic background. Emotional distress was determined with the Kessler psychological distress scale. Blood was drawn to determine HbA(1c) , glucose, HDL and total cholesterol. Anthropometrics and blood pressure were assessed during a medical examination., Results: The total sample comprised of 1736 participants. The prevalence of emotional distress was significantly higher in participants with diabetes (31%) compared with healthy participants (19%). Increased levels of emotional distress were reported by 38% of the Turkish, 35% of the native Dutch and 29% of the Moroccan patients with diabetes. Among patients with diabetes, the presence of two or more co-morbid chronic diseases was most strongly associated with higher levels of emotional distress, whereas glycaemic control, cholesterol, blood pressure or waist circumference were not., Conclusions: Emotional distress affects approximately one third of adult patients with diabetes living in Amsterdam. Having multiple co-morbid diseases seems related to more emotional distress among these patients, while ethnicity and diabetes-related characteristics are not., (© 2012 The Authors. Diabetic Medicine © 2012 Diabetes UK.)

Objective: To provide insight into the characteristics of comprehensive care programs for patients with multiple chronic conditions and their impact on patients, informal caregivers, and professional caregivers., Methods: Systematic literature search in multiple electronic databases for English language papers published between January 1995 and January 2011, supplemented by reference tracking and a manual search on the internet. Wagner's chronic care model (CCM) was used to define comprehensive care. After inclusion, the methodological quality of each study was assessed. A best-evidence synthesis was applied to draw conclusions., Results: Forty-two publications were selected describing thirty-three studies evaluating twenty-eight comprehensive care programs for multimorbid patients. Programs varied in the target patient groups, implementation settings, number of included interventions, and number of CCM components to which these interventions related. Moderate evidence was found for a beneficial effect of comprehensive care on inpatient healthcare utilization and healthcare costs, health behavior of patients, perceived quality of care, and satisfaction of patients and caregivers. Insufficient evidence was found for a beneficial effect of comprehensive care on health-related quality of life in terms of mental functioning, medication use, and outpatient healthcare utilization and healthcare costs. No evidence was found for a beneficial effect of comprehensive care on cognitive functioning, depressive symptoms, functional status, mortality, quality of life in terms of physical functioning, and caregiver burden., Conclusion: Because of the heterogeneity of comprehensive care programs, it is as yet too early to draw firm conclusions regarding their effectiveness. More rigorous evaluation studies are necessary to determine what constitutes best care for the increasing number of people with multiple chronic conditions., (Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.)

Background: The patient assessment of chronic illness care (PACIC) is a promising instrument to evaluate the chronic care experiences of patients, yet additional validation is needed to improve its usefulness., Methods: A total of 1941 patients with diabetes completed the questionnaire. Reliability coefficients and factor analyses were used to psychometrically test the PACIC and PACIC+ (i.e. PACIC extended with six additional multidisciplinary team functioning items to improve content validity). Intra-class correlations were computed to identify the extent to which variation in scores can be attributed to GP practices., Results: The PACIC and PACIC+ showed a good psychometric quality (Cronbach's alpha's >0.9). Explorative factor analyses showed inconclusive results. Confirmative factor analysis showed that none of the factor structures had an acceptable fit (RMSEA>0.10). In addition, 5.1 to 5.4% of the total variation was identified at the GP practice level., Conclusion: The PACIC and PACIC+ are reliable instruments to measure the chronic care management experiences of patients. The PACIC+ is preferred because it also includes multidisciplinary coordination and cooperation-one of the central pillars of chronic care management-with good psychometric quality. Previously identified subscales should be used with caution. Both PACIC instruments are useful in identifying GP practice variation.

Objective: To support decision making on how to best redesign chronic care by studying the heterogeneity in effectiveness across chronic care management evaluations for heart failure., Data Sources: Reviews and primary studies that evaluated chronic care management interventions., Study Design: A systematic review including meta-regression analyses to investigate three potential sources of heterogeneity in effectiveness: study quality, length of follow-up, and number of chronic care model components., Principal Findings: Our meta-analysis showed that chronic care management reduces mortality by a mean of 18 percent (95 percent CI: 0.72-0.94) and hospitalization by a mean of 18 percent (95 percent CI: 0.76-0.93) and improves quality of life by 7.14 points (95 percent CI: -9.55 to -4.72) on the Minnesota Living with Heart Failure questionnaire. We could not explain the considerable differences in hospitalization and quality of life across the studies., Conclusion: Chronic care management significantly reduces mortality. Positive effects on hospitalization and quality of life were shown, however, with substantial heterogeneity in effectiveness. This heterogeneity is not explained by study quality, length of follow-up, or the number of chronic care model components. More attention to the development and implementation of chronic care management is needed to support informed decision making on how to best redesign chronic care., (© Health Research and Educational Trust.)

Aims: To determine the effectiveness of a 2.5-year lifestyle intervention for Type 2 diabetes prevention in Dutch general practice compared with usual care., Methods: A randomized controlled trial of 925 individuals at high risk for Type 2 diabetes (FINDRISC-score ≥ 13) in 14 general practices in the Netherlands. Intervention consisted of lifestyle counselling from the nurse practitioner and the general practitioner. Usual care consisted of oral and written information at the start of the study. Study groups were compared over 2.5 years regarding changes in clinical and lifestyle measures., Results: Both groups showed modest changes in body weight, glucose concentrations, physical activity and dietary intake [weight: intervention group, -0.8 (5.1) kg, usual care group, -0.4 (4.7) kg, (P=0.69); fasting plasma glucose: intervention group, -0.17 (0.4) mmol/l, usual care group, -0.10 (0.5) mmol/l, (P=0.10)]. Differences between groups were significant only for total physical activity and fibre intake. In the intervention group, self-efficacy was significantly higher in individuals successful at losing weight compared with unsuccessful individuals. No significant differences in participant weight loss were found between general practitioners and nurse practitioners with different levels of motivation or self-efficacy., Conclusions: Diabetes risk factors could significantly be reduced by lifestyle counselling in Dutch primary care. However, intervention effects above the effects attributable to usual care were modest. Higher participant self-efficacy seemed to facilitate weight loss. Lack of motivation or self-efficacy of professionals did not negatively influence participant guidance., (© 2012 The Authors. Diabetic Medicine © 2012 Diabetes UK.)

Migrants from Turkey and Morocco are among the largest ethnic minority groups in several European countries. In this review, we aimed to systematically search, assess and describe the available literature on cardiovascular disease (CVD), obesity and other endogenous cardiovascular risk factors among these groups. Although the number of publications covering this topic among Turkish and Moroccan migrants has increased in the past decades, studies among these groups, especially the Moroccan, are still limited. There is a particular lack of information on CVD mortality and morbidity rates. Furthermore, studies are often hampered by low participation rates, small sample sizes and self-reported data. This further complicates drawing sound conclusions on CVD and risk factors among these migrant groups. The results with regard to CVD morbidity and mortality rates are inconclusive. With regard to CVD risk factors, we tentatively conclude that obesity and diabetes are more common among Turkish and Moroccan migrant groups in Europe than the western European population. In the Turkish population there is also a fair amount of evidence for unfavourable high-density lipoprotein cholesterol levels. However, more research on this topic among these major ethnic minorities is of high importance., (© 2011 The Authors. obesity reviews © 2011 International Association for the Study of Obesity.)

Background: Pay-for-performance (P4P) is increasingly implemented in the healthcare system to encourage improvements in healthcare quality. P4P is a payment model that rewards healthcare providers for meeting pre-established targets for delivery of healthcare services by financial incentives. Based on their performance, healthcare providers receive either additional or reduced payment. Currently, little is known about P4P schemes intending to improve delivery of chronic care through disease management. The objectives of this paper are therefore to provide an overview of P4P schemes used to stimulate delivery of chronic care through disease management and to provide insight into their effects on healthcare quality and costs., Methods: A systematic PubMed search was performed for English language papers published between 2000 and 2010 describing P4P schemes related to the implementation of disease management. Wagner's chronic care model was used to make disease management operational., Results: Eight P4P schemes were identified, introduced in the USA (n = 6), Germany (n = 1), and Australia (n = 1). Five P4P schemes were part of a larger scheme of interventions to improve quality of care, whereas three P4P schemes were solely implemented. Most financial incentives were rewards, selective, and granted on the basis of absolute performance. More variation was found in incented entities and the basis for providing incentives. Information about motivation, certainty, size, frequency, and duration of the financial incentives was generally limited. Five studies were identified that evaluated the effects of P4P on healthcare quality. Most studies showed positive effects of P4P on healthcare quality. No studies were found that evaluated the effects of P4P on healthcare costs., Conclusion: The number of P4P schemes to encourage disease management is limited. Hardly any information is available about the effects of such schemes on healthcare quality and costs., (© 2011 de Bruin et al; licensee BioMed Central Ltd.)

Background: Diabetes mellitus brings an increased risk for cardiovascular complications and patients profit from prevention. This prevention also suits the general population. The question arises what is a better strategy: target the general population or diabetes patients., Methods: A mathematical programming model was developed to calculate optimal allocations for the Dutch population of the following interventions: smoking cessation support, diet and exercise to reduce overweight, statins, and medication to reduce blood pressure. Outcomes were total lifetime health care costs and QALYs. Budget sizes were varied and the division of resources between the general population and diabetes patients was assessed., Results: Full implementation of all interventions resulted in a gain of 560,000 QALY at a cost of €640 per capita, about €12,900 per QALY on average. The large majority of these QALY gains could be obtained at incremental costs below €20,000 per QALY. Low or high budgets (below €9 or above €100 per capita) were predominantly spent in the general population. Moderate budgets were mostly spent in diabetes patients., Conclusions: Major health gains can be realized efficiently by offering prevention to both the general and the diabetic population. However, a priori setting a specific distribution of resources is suboptimal. Resource allocation models allow accounting for capacity constraints and program size in addition to efficiency.

Objective: C-reactive protein (CRP) is a sensitive, non-specific systemic marker for inflammation and tissue damage in the human body and independently associated with incident cardiovascular disease (CVD) and traditional CVD risk factors. The aim of this study is to describe and analyse ethnic differences in CRP levels between Turkish, Moroccan and ethnic Dutch groups., Methods: Data were collected in the setting of a general health survey, in Amsterdam, the Netherlands, in 2004. From 1219 adults information on physical and psychological health, lifestyle and demographic background was obtained via health interviews. In a physical examination, measurements of anthropometry and blood pressure were performed. Blood samples were collected and high-sensitive CRP was determined., Results: Mean CRP levels, excluding acute inflammation, were higher among Turkish migrants (men: 2.1mg/l; women: 2.9mg/l) and Moroccan women (2.9mg/l) compared to the Dutch (men: 1.7mg/l; women: 2.3mg/l). 'High CVD risk' CRP levels (3mg/l≥CRP≥10mg/l) were also more prevalent in these groups. Ethnic differences in mean CRP levels persisted after controlling for sex, age, BMI and smoking. Ethnic differences in 'high CVD risk' CRP levels were attenuated by controlling for traditional CVD risk factors in men, but not in women., Conclusion: Their relatively high CRP levels put Turkish and female Moroccan migrants at higher risk of future cardiovascular events, especially women. Known determinants cannot explain ethnic differences in mean CRP levels. Traditional CVD determinants account for ethnic differences in 'high CVD risk' CRP levels among men, but not women., (Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.)

Background: More than half of the patients with type 2 diabetes (T2DM) patients are diagnosed with one or more comorbid disorders. They can participate in several single-disease oriented disease management programs, which may lead to fragmented care because these programs are not well prepared for coordinating care between programs. Comorbid patients are therefore at risk for suboptimal treatment, unsafe care, inefficient use of health care services and unnecessary costs. Case management is a possible model to counteract fragmented care for comorbid patients. It includes evidence-based optimal care, but is tailored to the individual patients' preferences.The objective of this study is to examine the effectiveness of a case management program, in addition to a diabetes management program, on the quality of care for comorbid T2DM patients., Methods/design: The study is a randomized controlled trial among patients with T2DM and at least one comorbid chronic disease (N=230), who already participate in a diabetes management program. Randomization will take place at the level of the patients in general practices. Trained practice nurses (case managers) will apply a case management program in addition to the diabetes management program. The case management intervention is based on the Guided Care model and includes six elements; assessing health care needs, planning care, create access to other care providers and community resources, monitoring, coordinating care and recording of all relevant information. Patients in the control group will continue their participation in the diabetes management program and receive care-as-usual from their general practitioner and other care providers., Discussion: We expect that the case management program, which includes better structured care based on scientific evidence and adjusted to the patients' needs and priorities, will improve the quality of care coordination from both the patients' and caregivers' perspective and will result in less consumption of health care services., Trial Registration: Netherlands Trial Register (NTR): NTR1847.

Objective: Evaluating the impact of disease management programs on healthcare expenditures for patients with diabetes, depression, heart failure or COPD., Methods: Systematic Pubmed search for studies reporting the impact of disease management programs on healthcare expenditures. Included were studies that contained two or more components of Wagner's chronic care model and were published between January 2007 and December 2009., Results: Thirty-one papers were selected, describing disease management programs for patients with diabetes (n=14), depression (n=4), heart failure (n=8), and COPD (n=5). Twenty-one studies reported incremental healthcare costs per patient per year, of which 13 showed cost-savings. Incremental costs ranged between -$16,996 and $3305 per patient per year. Substantial variation was found between studies in terms of study design, number and combination of components of disease management programs, interventions within components, and characteristics of economic evaluations., Conclusion: Although it is widely believed that disease management programs reduce healthcare expenditures, the present study shows that evidence for this claim is still inconclusive. Nevertheless disease management programs are increasingly implemented in healthcare systems worldwide. To support well-considered decision-making in this field, well-designed economic evaluations should be stimulated., (Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.)

Background: The oral anticoagulant therapy - provided to prevent thrombosis - is known to be associated with substantial avoidable hospitalization. Improving the quality of the oral anticoagulant therapy could avoid drug related hospitalizations. Therefore, this study compared the patient outcomes between Dutch anticoagulant clinic (AC) regions taking the variation in chronic care management into account in order to explore whether chronic care management elements could improve the quality of oral anticoagulant therapy., Methods: Two data sources were combined. The first source was a questionnaire that was send to all ACs in the Netherlands in 2008 (response = 100%) to identify the application of chronic care management elements in the AC regions. The Chronic Care Model of Wagner was used to make the concept of chronic care management operational. The second source was the report of the Dutch National Network of ACs which contains patient outcomes of the ACs., Results: Patient outcomes achieved by the ACs were good, yet differences existed; for instance the percentage of patients in the appropriate therapeutic ranges varied from 67 to 87% between AC regions. Moreover, differences existed in the use of chronic care management elements of the chronic care model, for example 12% of the ACs had multidisciplinary meetings and 58% of the ACs had formal agreements with at least one hospital within their region. Patient outcomes were significantly associated with patient orientation and the number of specialized nurses versus doctors (p-values < 0.05). Furthermore, the overall extent to which chronic care management elements were applied was positively associated with patient outcomes (p-values < 0.05)., Conclusions: Substantial differences in the patient outcomes as well as chronic care management of oral anticoagulant therapy existed. Since our results showed a positive association between overall application of chronic care management and patient outcomes, additional research is needed to fully understand the working mechanism of chronic care management.

Objective: This study investigates differences in overweight and body fat distribution between Turkish and Moroccan migrants and the ethnic Dutch population, and the contribution of socio-economic status to their higher obesity prevalence., Methods: Data were collected as part of a general health survey, in Amsterdam, the Netherlands (2004). From 1,285 adults information on physical and psychological health, lifestyle and demographic background was obtained through health interviews. In a physical examination body height and weight as well as waist and hip circumference were measured., Results: Overweight was more common among Turkish migrants and Moroccan migrant women as compared to their Dutch counterparts. Obesity prevalence rates were more than twice as high among Turkish (39.6%) and Moroccan (39.1%) women than among Dutch women (16.5%). Controlling for level of education and unemployment attenuated ethnic differences in overweight. Abdominal obesity was more common among Turkish and Moroccan than among Dutch women. After controlling for BMI, migrant men had a relatively low waist circumference compared to Dutch men., Conclusion: Overweight is relatively common among Turkish and Moroccan migrants, especially women. Education and employment are relevant in explaining ethnic differences in overweight. Compared to Dutch men, migrant men seem to have a more favourable fat distribution with less abdominal fat., (Copyright © 2011 S. Karger AG, Basel.)

Objective: To present an overview of the prevalence of multimorbidity and comorbidity of chronic diseases in the Dutch population., Design: Data analysis., Methods: Data from the Netherlands Information Network of General Practice (LINH), a large representative network of general practices over a period of 7 years (2002-2008) were analysed. Multimorbidity was defined as a patient having been diagnosed with two or more of 29 chronic diseases in the general practitioner's electronic medical records system. The prevalence of chronic diseases and multimorbidity was calculated for the total population and subsequently by sex and age groups. For the 10 most prevalent diseases in the elderly, clustering and comorbidity of chronic diseases in patients 55 years and older were analysed., Results: Almost 13% of the total Dutch population and 37% of patients 55 years and older had 2 or more chronic diseases. More than 70% of the patients aged 55 years and older who had 1 of the 10 specific chronic diseases also had an additional chronic disease. Most disease pairs occurred more frequently than expected based on independency (clustering), particularly the combinations depression and anxiety disorder, coronary heart disease and heart failure, and COPD and heart failure. The five most common combinations of conditions associated with a certain disease concerned only a limited portion (30%) of all disease comorbidity. This means that 70% of patients with a chronic disease had 1 or more additional diseases not included in the 5 most frequently occurring diseases., Conclusion: Multimorbidity was identified in over two-thirds of the elderly with frequently occurring chronic diseases. Comorbidity encompassed many different combinations of chronic diseases. In light of an ageing population, multimorbidity should increasingly be taken into account when delivering healthcare, in medical research and in defining healthcare policies.

Background: High total cholesterol and low HDL (high-density lipoprotein) cholesterol are important determinants of cardiovascular disease. Little is known about dyslipidemia among Turkish and Moroccan migrants, two of the largest ethnic minority groups in several European countries. This study examines ethnic differences in total and HDL cholesterol levels between Dutch, Turkish and Moroccan ethnic groups., Methods: Data were collected in the setting of a general health survey, in Amsterdam, the Netherlands, in 2004. Total response rate was 45% (Dutch: 46%, Turks: 50%, Moroccans: 39%). From 1,220 adults information on history of hypercholesterolemia, lifestyle and demographic background was obtained via health interviews. In a physical examination measurements of anthropometry and blood pressure were performed and blood was collected. Total and HDL cholesterol were determined in serum., Results: Total cholesterol levels were lower and hypercholesterolemia was less prevalent among the Moroccan and Turkish than the Dutch ethnic population. HDL cholesterol was also relatively low among these migrant groups. The resulting total/HDL cholesterol ratio was particularly unfavourable among the Turkish ethnic group. Controlling for Body Mass Index and alcohol abstinence substantially attenuated ethnic differences in HDL cholesterol levels and total/HDL cholesterol ratio., Conclusions: Total cholesterol levels are relatively low in Turkish and Moroccan migrants. However part of this advantage is off-set by their relatively low levels of HDL cholesterol, resulting in an unfavourable total/HDL cholesterol ratio, particularly in the Turkish population. Important factors in explaining ethnic differences are the relatively high Body Mass Index and level of alcohol abstinence in these migrant groups.

The impact of weight change on diabetes incidence remains unclear. To clarify the role of weight change as a risk factor for diabetes, the authors assessed the association between weight change and diabetes incidence conditional upon either initial or attained body mass index (BMI). They used 7,837 observations available from repeated measurements of 4,259 participants (men and women aged 20-59 years) in the Dutch population-based Doetinchem Cohort Study (1987-2007) to analyze the association between 5-year weight change and diabetes incidence (n = 124) in the subsequent 5 years. When adjusted for initial BMI, 5-year weight change was a significant risk factor for diabetes (odds ratio = 1.08, 95% confidence interval: 1.04, 1.13 per kilogram of weight change). However, no significant association was found between weight change and diabetes if the association was adjusted for attained BMI (odds ratio = 0.99, 95% confidence interval: 0.94, 1.04 per kilogram of weight change). Results suggest that weight change is associated with diabetes incidence because, conditional upon initial BMI, weight change determines attained BMI. This finding implies that lifestyle interventions can contribute to diabetes prevention because they affect attained BMI. Weight change appears to have no effect on diabetes incidence beyond its effect on attained BMI.

Background: Ethnic minorities living in Western societies may have a higher prevalence of diabetes. We investigated whether the prevalence of diabetes among Turkish and Moroccan migrants differs from the indigenous urban population in the Netherlands, and whether these differences can be explained by differences in risk factors., Methods: In 2004 a general health survey, stratified by ethnicity and age, was carried out among the population of Amsterdam. The current study included 375 Turkish, 314 Moroccan and 417 Dutch individuals aged 18-70 years. Participants underwent a physical examination and a health interview. Diabetes was based on self-report, the use of anti-diabetic medicine, blood glucose levels and HbA1c., Results: The prevalence of diabetes in the Amsterdam population was significantly higher in Turkish (5.6%) and Moroccan (8.0%), compared to Dutch individuals (3.1%). These differences, which were much larger after adjustment for age, were only partly explained by the lower socioeconomic status and higher frequency of obesity among ethnic minorities. The difference between Dutch and Moroccan individuals remained significant even after adjustments for multiple risk factors. The typical age of onset of diabetes in both Turks and Moroccans is respectively one and two decades younger than in the indigenous population., Conclusion: Diabetes is more prevalent among Turkish and Moroccan migrants as compared to the indigenous population. Only part of this difference can be explained by differences in demographic and lifestyle risk factors.

OBJECTIVE To explore the potential long-term health and economic consequences of lifestyle interventions for diabetic patients. RESEARCH DESIGN AND METHODS A literature search was performed to identify interventions for diabetic patients in which lifestyle issues were addressed. We selected recent (2003-2008), randomized controlled trials with a minimum follow-up of 12 months. The long-term outcomes for these interventions, if implemented in the Dutch diabetic population, were simulated with a computer-based model. Costs and effects were discounted at, respectively, 4 and 1.5% annually. A lifelong time horizon was applied. Probabilistic sensitivity analyses were performed, taking account of variability in intervention costs and (long-term) treatment effects. RESULTS Seven trials with 147-5,145 participants met our predefined criteria. All interventions improved cardiovascular risk factors at > or =1 year follow-up and were projected to reduce cardiovascular morbidity over lifetime. The interventions resulted in an average gain of 0.01-0.14 quality-adjusted life-years (QALYs) per participant. Health benefits were generally achieved at reasonable costs (< or =euro50,000/QALY). A self-management education program (X-PERT) and physical activity counseling achieved the best results with > or =0.10 QALYs gained and > or =99% probability to be very cost-effective (< or =euro20,000/QALY). CONCLUSIONS Implementation of lifestyle interventions would probably yield important health benefits at reasonable costs. However, essential evidence for long-term maintenance of health benefits was limited. Future research should be focused on long-term effectiveness and multiple treatment strategies should be compared to determine incremental costs and benefits of one over the other.

Diabetes patients are known to have a worse quality of life than individuals without diabetes. They also have an increased risk for depressive symptoms, which may have an additional negative effect on their quality of life. This systematic review summarizes the current knowledge on the association between depressive symptoms and quality of life in individuals with diabetes. A systematic literature search using MEDLINE, Psychinfo, Social SciSearch, SciSearch and EMBASE was conducted from January 1990 until September 2007. We identified studies that compared quality of life between diabetic individuals with and without depressive symptoms. Twenty studies were identified, including eighteen cross-sectional and two longitudinal studies. Quality of life was measured as generic, diabetes specific and domain specific quality of life. All studies reported a negative association between depressive symptoms and at least one aspect of quality of life in people with diabetes. Diabetic individuals with depressive symptoms also had a severely lower diabetes specific quality of life. Generic and domain specific quality of life were found to be mild to moderately lower in the presence of depressive symptoms. Therefore, increased awareness and monitoring for depression is needed within different diabetes care settings.

Healthcare systems in Europe struggle with inadequate co-ordination of care for people with chronic conditions. Moreover, there is a considerable evidence gap in the treatment of chronic conditions, lack of self-management, variation in quality of care, lack of preventive care, increasing costs for chronic care, and inefficient use of resources. In order to overcome these problems, several approaches to improve the management and co-ordination of chronic conditions have been developed in European healthcare systems. These approaches endeavour to improve self-management support for patients, develop clinical information systems and change the organisation of health care. Changes in the delivery system design and the development of decision support systems are less common. Almost as a rule, the link between healthcare services and community resources and policies is missing. Most importantly, the integration between the six components of the chronic care model remains an important challenge for the future. We find that the position of primary care in healthcare systems is an important factor for the development and implementation of new approaches to manage and coordinate chronic conditions. Our analysis supports the notion that countries with a strong primary care system tend to develop more comprehensive models to manage and co-ordinate chronic conditions.

Background: We aimed to quantify the potential health benefits of increased use of lipid-lowering treatment (LLT), according to current guidelines, for the Dutch diabetes population., Design: Simulation study., Methods: We compared the long-term health outcomes for a scenario in which all diabetes patients received LLT to those in a 'current practice' scenario, in which 28% received LLT. The model reflected the Dutch diabetes population 40-80 years of age, in 2003. Sensitivity analyses were performed, using more conservative assumptions., Results: Over the lifetime, LLT for all diabetes patients reduced the expected cumulative incidences of coronary heart disease (CHD) and stroke by, respectively, 6 and 9%. Average life expectancy of Dutch diabetes patients would increase by 0.33 years, ranging from 0.14 years for patients aged 70-79 years, to 0.84 years for patients aged 40-49 years at the start of the simulation. Life-long treatment for patients aged 50-59 contributed most to the life years gained (55,000 out of 146,000). With reduced effectiveness of LLT and fewer patients starting LLT, the cumulative incidences of both CHD and stroke would decrease by approximately 2%. The number needed to treat to prevent one incident case of cardiovascular disease over lifetime was 20 for CHD and 44 for stroke., Conclusion: This simulation study shows that increased use of LLT can substantially reduce the expected future burden of CHD and stroke in the Dutch diabetes population.

Background: A higher prevalence of respiratory symptoms and an associated increase in health care utilization among children with parents who smoke is to be expected. From previous studies however, it appears that parents who smoke may underutilize health services for their children, especially with respect to respiratory care. This study explores the validity and generalizability of the previous assumption., Methods: Data were obtained from a Dutch birth-cohort study; the Prevention and Incidence of Asthma and Mite Allergy (PIAMA) project. Information regarding parental smoking, the child's respiratory symptoms and health care use and potential confounders were obtained by postal questionnaires. Multivariate logistic models were used to relate parental smoking to the child's respiratory symptoms and health care use., Results: The study comprised 3,564, 4-year old children. In the crude analysis, respiratory symptoms were more frequent among children with a parent who smoked, while health care utilization for respiratory symptoms was not significantly different between children with or without a parent who smoked. In the multivariate analyses, maternal smoking had a larger impact on the child's respiratory symptoms and health care use as compared to paternal smoking. Maternal smoking was positively associated with mild respiratory symptoms of the child, adjusted odds ratio [AOR] 1.50 (1.19-1.91), but not with severe respiratory symptoms AOR 1.03 (0.75-1.40). Among children with mild respiratory symptoms, children with a mother who smoked were less likely to be taken to the general practitioner (GP) for respiratory symptoms, than children with mothers who did not smoke, AOR 0.58 (0.33-1.01). This finding was less pronounced among children with severe respiratory symptoms AOR 0.86 (0.49-1.52). Neither GP visits for non-respiratory symptoms nor specialized care for respiratory disease were significantly associated with parental smoking., Conclusion: Mothers who smoke appear to underutilize health care for their children with mild respiratory symptoms. Health care workers should be informed about this phenomenon. Inquiring after the respiratory health of the children during regular visits to healthy baby clinics may help to track potential underutilization of care.

Objectives: In the next decades, the number of stroke patients is expected to increase. Furthermore, organizational changes, such as stroke services, are expected to be implemented on a large scale. The purpose of this study is to estimate the future healthcare costs by taking into account the expected increase of stroke patients and a nationwide implementation of stroke services., Methods: By means of a dynamic multistate life table, the total number of stroke patients can be projected. The model calculates the annual number of patients by age and gender. The total healthcare costs are calculated by multiplying the average healthcare costs specified by age, gender, and healthcare sector with the total number of stroke patients specified by age and gender., Results: In the year 2000, the healthcare costs for stroke amounted to euro 1.62 billion. This amount is approximately 4.4 percent of the total national healthcare budget. Projections of the total costs of stroke based on current practice result in an increase of 28 percent (euro 2.08 billion) in the year 2020. A nationwide implementation of stroke services in 2020 would result in a substantial reduction of the costs of stroke (euro 1.81 billion: 13 percent cost reduction) compared with the regular care scenario., Conclusions: A nationwide implementation of stroke services is a strong policy tool for cost containment of health care in an aging population like that in the Netherlands. Policy makers should optimize the organization of stroke care.

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.

A systematic review of the literature was conducted to give an overview of economic evaluations of preventive interventions in type 2 diabetes mellitus. The interventions were sorted by type of preventive intervention (primary, secondary or tertiary) and by category (e.g. education, medication for hypertension). Several databases were searched for studies published between January 1990 and May 2004 on the three types of preventive intervention. For each study selected, inclusion of specific components from a standardised list of items, including quality, was recorded in a database. Summary tables were generated based on the database.A number of conclusions were drawn from this review. The most important was that strict blood pressure control was a more cost-effective intervention than less strict control, as shown by six studies reporting cost savings to very low costs per life-year gained. Primary and secondary prevention of type 2 diabetes were also highly cost effective, but these results were based on very few studies. Medications to reduce weight and hyperglycaemia together were cost effective compared with conventional interventions. Finally, the separate results regarding medications to reduce weight, hyperglycaemia and hypercholesterolaemia varied enormously, thus no conclusion could be drawn and further economic analysis is required.

From 1992-2001, 7 countries in Europe gradually recruited men for the European Randomised Screening for Prostate Cancer (ERSPC) trial. Centres recruit different age groups and have different designs for recruiting and countries have different underlying risks for prostate cancer. Recruitment has reached 163,126 men aged 55-69 at entry now. Our purpose was to calculate the power of the trial and at what point in time can statistically significant differences in prostate cancer mortality be expected. Recruitment data were collected from the screening centres. We calculated the expected number of prostate cancer deaths in each follow-up year, based on national statistics and expected rate in trial entrants. The power was calculated using different assumptions on intervention effect and contamination rate and also if the ERSPC trial would cooperate with other trials. With an assumed 25% intervention effect in men actually screened and a 20% contamination rate, the trial will reach a power of 0.86 in 2008. With an assumed intervention effect of 40%, the power reaches 0.90 in 2003-2004. Pooling data with those of the Prostate, Lung, Colorectal and Ovary (PLCO) trial early is expected to improve the power to 79% (20% intervention effect) to 92% (40% intervention effect PLCO). Adding more centres with compliance rates lower than 45% decreases the power of the trial. The ERSPC trial has sufficient power to detect a significant difference in prostate cancer mortality between the 2 arms if the true reduction in mortality by screening is 25% or more or if contamination remains limited to 10% if the true effect is 20% or more. If early detection and treatment turns out to have a stronger effect as may be suggested by observational data, the ERSPC trial is likely to conclusively show that within the next 5 years., (Copyright 2001 Wiley-Liss, Inc.)

A consistent estimate of the prevalence, mortality and incidence of diabetes mellitus type II in the Netherlands was obtained by combining data from several sources using statistical and modelling techniques. In the Netherlands, the prevalence of diabetes in the age-group 30-74 years is 2.7-3.2%. The prevalence increases with age: for men by 7% per year of age and for women by almost 8% per year of age. This age-related increase will give rise to a 36% increase in the prevalence of diabetes in the period 1993-2010. Diabetic patients account for 12% of the total mortality in men and 18% in women; in 2.5% and 5% of the cases respectively, diabetes is the cause of mortality. If this excess mortality could be eliminated then the life expectancy for men with diabetes would increase by 4.7 years at the age of 45 and for women the corresponding increase would be 6.3 years. The estimated incidence per year increases from 8 per 10,000 men (7 for women) in the age group 40-44 years to 80 per 10,000 men (86 for women) in the age group 75-79 years.

Diabetes mellitus type II is a major clinical and public health problem and is therefore a candidate for several primary and secondary preventive strategies. Further research on the effects and side effects of both types of prevention is required before it is possible to accurately determine which prevention strategy is most suitable. Research into primary prevention should not only focus on the effect of the strategy on diabetes itself, but also on its complications. With respect to diabetic screening, it is advisable to investigate the cost-effectiveness of several screening strategies. As opportunistic screening is becoming the predominant current practice, a cost-effectiveness study of screening strategies should be started in the short term due to increasing difficulties in selecting a control group.

Our goal was to estimate non-insulin-dependent diabetes mellitus incidence in the Netherlands in the absence of equivocal empirical data. Incidence can be expressed as a function of age, sex, prevalence, and mortality. We obtained prevalence data from a study that pooled existing prevalence estimates. We calculated diabetes-related mortality using relative risks on all-cause mortality. Sensitivity for the rate of excess mortality was determined using the 95% confidence intervals (95% CI) of the relative risks. The estimated incidence increases exponentially with age, with a doubling time of 10 years for men and 9 years for women. The rate increases from 8.1 per 10,000 (95% CI = 7.7-8.8) for men ages 40-44 years and 7.0 (95% CI = 6.8-8.0) for women to 79.7 per 10,000 (95% CI = 69.5-90.9) for men ages 75-79 years and 85.8 (95% CI = 80.6-91.0) for women. When empirical estimates of incidence are largely lacking, the methodology described offers a useful alternative, in particular for the assessment of potential intervention effects.

Our objective was to estimate the excess mortality and the reduction in life expectancy related to diabetes mellitus. We developed a life table to describe the Dutch population in two states, diabetic and non-diabetic, using age- and sex-specific prevalence of diabetes mellitus and risks of dying for diabetic subjects. We compared the calculated excess deaths with registered deaths. The cause-of-death registration practice underestimates diabetes-related mortality. The method used in this study, combining mortality data with data from epidemiologic studies, provides an assessment of the impact of diabetes on the Dutch population.

Objective: To develop a predictive model to identify individuals with an increased risk for undiagnosed diabetes, allowing for the availability of information within the health care system., Research Design and Methods: A sample of participants from the Rotterdam Study (n = 1,016), aged 55-75 years, not known to have diabetes completed a questionnaire on diabetes-related symptoms and risk factors and underwent a glucose tolerance test. Predictive models were developed using stepwise logistic regression analyses with the absence or presence of newly diagnosed diabetes as the dependent variable and various items with a plausible connection to diabetes as the independent variables. The models were evaluated in another Dutch population-based study, the Hoorn Study (n = 2,364), in which the participants were aged 50-74 years. Performances of the predictive models were compared by using receiver-operator characteristics (ROC) curves., Results: We developed three predictive models (PMs), PM1 contained information routinely collected by the general practitioner, while PM2 also contained variables obtainable by additional questions. The third predictive model, PM3, included variables that had to be obtained from a physical examination. These latter variables did not have additive predictive value, resulting in a PM3 similar to PM2. The area under the ROC curve was higher for PM2 than for PM1, but the 95% Cls overlapped (0.74 [0.70-0.78] and 0.68 [0.64-0.72], respectively)., Conclusions: Using only information normally present in the files of a general practitioner, a predictive model was developed that performed similarly to one supplemented by information obtained from additional questions. The simplicity of PM1 makes it easy to implement in the current health care setting.

The authors carried out a study to investigate the association between different indicators of physical activity and the prevalence of impaired glucose tolerance (IGT) and newly diagnosed diabetes (nDM) in a population-based cohort of elderly men and women in the Netherlands. A sample of participants of the Rotterdam Study (n = 1,016) aged 55-75 years who were not known to have diabetes mellitus underwent an oral glucose tolerance test. Physical activity was assessed by means of a self-administered questionnaire and expressed as time spent on activities per week. Associations with the prevalence of IGT and nDM were assessed by logistic regression analysis after adjustment for age, body mass index, waist-hip ratio, family history of diabetes, and smoking. A total of 745 subjects had normal glucose tolerance, 153 IGT, and 118 nDM. The total amount of time spent on physical activity decreased with increasing glucose intolerance. Adjusted for main confounders, vigorous activities such as bicycling (men: odds ratio (OR) = 0.26, 95% confidence interval (CI) 0.14-0.49; women: OR = 0.37, 95% CI 0.18-0.78) and sports (men: OR = 0.28, 95% CI 0.11-0.74) showed an inverse association with the presence of nDM. For IGT, the associations pointed in the same direction but did not reach statistical significance. These results indicate that physical inactivity and glucose intolerance are associated among older adults similar to the way they are associated among middle-aged adults.