Rotterdam general practitioners report (ROHAPRO): a computerised network of general practices in Rotterdam, The Netherlands. Rotterdam's HuisArtsen Project (original) (raw)
What went and what came? Morbidity trends in general practice from the Netherlands
European Journal of General Practice, 2008
Background: Fourty years of morbidity registration in general practice is a milestone urging to present an overview of outcomes. This paper provides insight into the infrastructure and methods of the oldest practice-based research network in the Netherlands and offers an overview of morbidity in a general practice population. Changes in morbidity and some striking trends in morbidity are presented. Methods: The CMR (Continuous Morbidity Registration) collects morbidity data in four practices, in and around Nijmegen, the Netherlands. The recording is anchored in the Dutch healthcare system, which is primary care based, and where every citizen is listed with a personal GP. Trends over the period 1985Á2006 are presented as a three year moving average. As an indicator for 20-year prevalence trends we used the annual percentage change (APC). We restricted ourselves to morbidity, which is presented to the family physician on a frequent basis (overall prevalence rates 1.0/1000/year). Results: The age distribution of the CMR population is comparable to the general Dutch population. Overall incidence figures vary between 1500/1000 ptyrs (men) and 2000/1000 ptyrs (women). They are quite stable over the years, whereas overall prevalence figures are rising gradually to 1500/2500 ptyrs (men) and 2000/3500 ptyrs (women). Increase in prevalence rates for chronic conditions is diffuse and gradual with a few striking exceptions. Conclusion: For morbidity patterns, the CMR database serves as a mirror of general practice. Practice-based research networks are indispensable for the development and maintenance of general practice as an academic discipline.
Scandinavian Journal of Public Health, 2002
In this article the development of the Rotterdam Local Health Information System is sketched. Started as an oVspring of the Healthy Cities Project of the WHO, the focus was very much on neighbourhoods. The data were presented by a software program, REBUS Vision. It was relatively new to gather information at the neighbourhood level, so not much consideration was given to the relative importance of data for research questions. This led to the need to condense the vast amount of data into some summary gure, the health barometer, which chose the 27 most important available neighbourhood indicators and divided these data into six groups leading to six scores in which a neighbourhood could be compared with the city mean, other neighbourhoods, or itself in time. Although REBUS Vision and the health barometer were reasonably successful, a frequently occurring criticism was that there was too much emphasis on the signalling of public health problems. This has led to the development of a health monitor that not only signals public health problems but also tries to identify determinants and to oVer solutions on a health policy and promotion level.
Background Within the Dutch health care system the focus is shifting from a disease oriented approach to a more population based approach. Since every inhabitant in the Netherlands is registered with one general practice, this offers a unique possibility to perform Population Health Management analyses based on general practitioners’ (GP) registries. The Johns Hopkins Adjusted Clinical Groups (ACG) System is an internationally used method for predictive population analyses. The model categorizes individuals based on their complete health profile, taking into account age, gender, diagnoses and medication. However, the ACG system was developed with non-Dutch data. Consequently, for wider implementation in Dutch general practice, the system needs to be validated in the Dutch healthcare setting. In this paper we show the results of the first use of the ACG system on Dutch GP data. The aim of this study is to explore how well the ACG system can distinguish between different levels of GP ...
BMC Public Health, 2011
Background: General practice based registration networks (GPRNs) provide information on morbidity rates in the population. Morbidity rate estimates from different GPRNs, however, reveal considerable, unexplained differences. We studied the range and variation in morbidity estimates, as well as the extent to which the differences in morbidity rates between general practices and networks change if socio-demographic characteristics of the listed patient populations are taken into account. Methods: The variation in incidence and prevalence rates of thirteen diseases among six Dutch GPRNs and the influence of age, gender, socio economic status (SES), urbanization level, and ethnicity are analyzed using multilevel logistic regression analysis. Results are expressed in median odds ratios (MOR). Results: We observed large differences in morbidity rate estimates both on the level of general practices as on the level of networks. The differences in SES, urbanization level and ethnicity distribution among the networks' practice populations are substantial. The variation in morbidity rate estimates among networks did not decrease after adjusting for these socio-demographic characteristics. Conclusion: Socio-demographic characteristics of populations do not explain the differences in morbidity estimations among GPRNs.
European Journal of Epidemiology, 1994
The Réseau National Télé-informatique de surveillance et d'information sur les Maladies Transmissibles (RNTMT) (French communicable diseases computerised surveillance network) comprises a network of sentinel general practitioners (SGP). These benevolent volunteers are responsible for the weekly epidemiological surveillance. Since its creation, 1,700 SGPs have participated in the RNTMT, representing a total of more than 120,000 connections to the RNTMT telematic service center. The principal motivation of these benevolent SGPs was to ‘actively participate in public health’, although only a minority of them (17.6%) had any training in this field. Such a system, based on the benevolent and voluntary activity of SGPs, requires a good understanding of SGPs' attitudes towards epidemiological surveillance in general and the tool used, in order to quantitatively and qualitatively follow their participation and to provide regular and useful feedback to the surveillance actors.
Use of E-Health in Dutch General Practice during the COVID-19 Pandemic
International Journal of Environmental Research and Public Health, 2021
The COVID-19 pandemic has forced general practices to search for possibilities to provide healthcare remotely (e.g., e-health). In this study, the impact of the pandemic on the use of e-health in general practices in the Netherlands was investigated. In addition, the intention of practices to continue using e-health more intensively and differences in the use of e-health between practice types were investigated. For this purpose, web surveys were sent to general practices in April and July 2020. Descriptive data analysis was performed and differences in the use of e-health between practice types were tested using one-way ANOVA. Response rates were 34% (n = 1433) in April and 17% (n = 719) in July. The pandemic invoked an increased use of several (new) e-health applications. A minority of practices indicated the intention to maintain this increased use. In addition, small differences in the use of e-health between the different practice types were found. This study showed that althou...
The implementation costs of an electronic prevention programme in Belgian general practice
European Journal of General Practice, 2010
Introduction: Guidelines to prevent cardiovascular (CV) disease are widely available. To implement these guidelines an electronic prevention programme (EPP) with a risk calculator for general practitioners (GPs) was developed. The aim of the present study was to calculate the implementation cost per installation. Methods: This cost study is part of a larger clinical trial, studying the effects of interventions in GP-practice on the management of CV risk factors. Participating GPs were asked to install the EPP. They could take part in a group education session or receive education by e-mail, telephone or at home. After a prospective cost registration, the cost per installation and a sensitivity analysis were calculated. Results: 185 GPs participated in the study. The total implementation cost of the EPP was €83,939. As the EPP was successfully installed by 102 GPs, the mean cost equals €823 per GP. Sensitivity analyses showed a decrease in costs due to a decrease of the costs of group education and/or an increase of installations. Conclusion: This study showed that it is possible to implement an EPP for cardiovascular prevention with an acceptable cost.
Clinical information for research; the use of general practice databases
Journal of Public Health, 1999
General practice computers have been widely used in the United Kingdom for the last 10 years and there are over 30 different systems currently available. The commercially available databases are based on two of the most widely used systems -VAMP Medical and Meditel. These databases provide both longitudinal and cross-sectional data on between 1.8 and 4 million patients. Despite their availability only limited use has been made of them for epidemiological and health service research purposes. They are a unique source of population-based information and deserve to be better recognized.