Estimating the Costs and the Disease Burden Associated With Campylobacter Infections and Sequelae in the Netherlands

Campylobacter infections pose an important public health problem in the Netherlands. Approximately 79,000 persons per year are estimated to experience symptoms of acute gastroenteritis. Further annually some 1400 ReA cases, 60 GBS cases and 11 IBD cases are associated with a previous Campylobacter infection. Using a stochastic simulation model the disease burden and the cost-of-illness of Campylobacter infections and its sequelae were estimated. Estimates of the Campylobacter-associated disease burden and costs-of-illness were 1185 DALYs (90% C.I. 693 - 1845 DALYs) per year and some 21 million E (90% C.I. 10 - 38 million E) per year respectively.Campylobacter, sequelae, cost-of-illness, disease burden, Netherlands, Food Consumption/Nutrition/Food Safety,

The diagnosis of depression and use of antidepressants in nursing home residents with and without dementia

Objective To compare the prevalence of diagnosed depressive disorders, depressive symptoms and use of antidepressant medication between nursing home residents with and without dementia. Methods This cross-sectional study used Minimal Data Set of the Resident Assessment Instrument 2.1 data collected in seven nursing homes located in an urbanized region in the Netherlands. Trained nurse assistants recorded all medical diagnoses made by a medical specialist, including dementia and depressive disorder, and medication use. Depressive symptoms were measured with the Depression Rating Scale. Multivariate logistic regression analysis was used to compare data between residents with and without dementia. Results Included in the study were 1885 nursing home residents (aged 65 years or older), of which 837 had dementia. There was no significant difference in the prevalence of diagnosed depressive disorder between residents with (9.6%) and without dementia (9.8%). Residents with dementia (46.4%) had more depressive symptoms than residents without dementia (22.6%). Among those with depressive symptoms, residents with dementia had the same likelihood of being diagnosed with a depressive disorder as residents without dementia. Among residents with a diagnosed depressive disorder, antidepressant use did not differ significantly between residents with dementia (58.8%) and without dementia (57.3%). The same holds true for residents with depressive symptoms, where antidepressant use was 25.3% in residents with dementia and 24.6% in residents without dementia. Conclusions Regarding the prevalence rates of diagnosed depressive disorder and antidepressant use found in this study, our findings demonstrate that there is room for improvement not only for the detection of depression but also with regard to its treatment. © 2012 John Wiley & Sons, Ltd

Market structure and hospital–insurer bargaining in the Netherlands

In 2005, competition was introduced in part of the hospital market in the Netherlands. Using a unique dataset of transactions and list prices between hospitals and insurers in the years 2005 and 2006, we estimate the influence of buyer and seller concentration on the negotiated prices. First, we use a traditional structure–conduct–performance model (SCP-model) along the lines of Melnick et al. (J Health Econ 11(3): 217–233, 1992) to estimate the effects of buyer and seller concentration on price–cost margins. Second, we model the interaction between hospitals and insurers in the context of a generalized bargaining model similar to Brooks et al. (J Health Econ 16: 417–434, 1997). In the SCP-model, we find that the market shares of hospitals (insurers) have a significantly positive (negative) impact on the hospital price–cost margin. In the bargaining model, we find a significant negative effect of insurer concentration, but no significant effect of hospital concentration. In both models, we find a significant impact of idiosyncratic effects on the market outcomes. This is consistent with the fact that the Dutch hospital sector is not yet in a long-run equilibrium

Trends in Gastro-enteritis in Nederland. Notitie met betrekking tot 2007

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Hospitalization due to varicella in the Netherlands

<p>Abstract</p> <p>Background</p> <p>In the Netherlands, incidence of physician's consultations and hospitalizations for varicella is low compared to other countries. Better knowledge about the severity of varicella among Dutch hospitalized patients is needed. Therefore, a medical record research was conducted among hospitalized patients with diagnosis varicella.</p> <p>Methods</p> <p>Hospital admissions due to varicella in 2003-2006 were obtained from the National Medical Register. Retrospectively, additional data were retrieved from the medical record of patients hospitalized with varicella in 23 Dutch hospitals using a standardized form. Analyses were performed using descriptive statistics.</p> <p>Results</p> <p>The study population (N = 296) was representative for all varicella admissions in the Netherlands (N = 1,658) regarding age, sex, duration of admission and type of diagnosis. Complications were recorded in 76% of the patients (37% had at least one relatively severe complication). Bacterial super infections of skin lesions (28%), (imminent) dehydration (19%), febrile convulsions (7%), pneumonia (7%) and gastroenteritis (7%) were most frequently reported. No varicella-related death occurred within the study population and 3% of the patients had serious rest symptoms.</p> <p>Conclusions</p> <p>It is not likely that the severity of varicella among hospitalized patients in the Netherlands differs from other countries. A considerable part of the varicella complications among hospitalized patients was rather moderate and can be treated effectively, although in a third of the hospitalized cases with complications, severe complications occurred. These data are relevant in the decision-making process regarding whether or not to introduce routine varicella vaccination in the Netherlands.</p

Quantitative data management in quality improvement collaboratives

<p>Abstract</p> <p>Background</p> <p>Collaborative approaches in quality improvement have been promoted since the introduction of the Breakthrough method. The effectiveness of this method is inconclusive and further independent evaluation of the method has been called for. For any evaluation to succeed, data collection on interventions performed within the collaborative and outcomes of those interventions is crucial. Getting enough data from Quality Improvement Collaboratives (QICs) for evaluation purposes, however, has proved to be difficult. This paper provides a retrospective analysis on the process of data management in a Dutch Quality Improvement Collaborative. From this analysis general failure and success factors are identified.</p> <p>Discussion</p> <p>This paper discusses complications and dilemma's observed in the set-up of data management for QICs. An overview is presented of signals that were picked up by the data management team. These signals were used to improve the strategies for data management during the program and have, as far as possible, been translated into practical solutions that have been successfully implemented.</p> <p>The recommendations coming from this study are:</p> <p>From our experience it is clear that quality improvement programs deviate from experimental research in many ways. It is not only impossible, but also undesirable to control processes and standardize data streams. QIC's need to be clear of data protocols that do not allow for change. It is therefore minimally important that when quantitative results are gathered, these results are accompanied by qualitative results that can be used to correctly interpret them.</p> <p>Monitoring and data acquisition interfere with routine. This makes a database collecting data in a QIC an intervention in itself. It is very important to be aware of this in reporting the results. Using existing databases when possible can overcome some of these problems but is often not possible given the change objective of QICs.</p> <p>Introducing a standardized spreadsheet to the teams is a very practical and helpful tool in collecting standardized data within a QIC. It is vital that the spreadsheets are handed out before baseline measurements start.</p