TY - JOUR
T1 - What factors explain the differences in morbidity estimations among general practice registration networks in the Netherlands? A first analysis
AU - van den Dungen, Catharina
AU - Hoeymans, Nancy
AU - Gijsen, Ronald
AU - van den Akker, Marjan
AU - Boesten, Jos
AU - Brouwer, Henk
AU - Smeets, Hugo
AU - van der Veen, Willem Jan
AU - Verheij, Robert
AU - de Waal, Margot
AU - Schellevis, Francois
AU - Westert, Gert
PY - 2008
Y1 - 2008
N2 - BACKGROUND: Information on the incidence and prevalence of diseases is a core indicator for public health. There are several ways to estimate morbidity in a population (e.g., surveys, healthcare registers). In this paper, we focus on one particular source: general practice based registers. Dutch general practice is a potentially valid source because nearly all non-institutionalized inhabitants are registered with a general practitioner (GP), and the GP fulfils the role as "gatekeeper". However, there are some unexplained differences among morbidity estimations calculated from the data of various general practice registration networks (GPRNs). OBJECTIVE: To describe and categorize factors that may explain the differences in morbidity rates from different GPRNs, and to provide an overview of these factors in Dutch GPRNs. RESULTS: Four categories of factors are distinguished: "healthcare system", "methodological characteristics", "general practitioner", and "patient". The overview of 11 Dutch GPRNs reveals considerable differences in factors. CONCLUSION: Differences in morbidity estimation depend on factors in the four categories. Most attention is dedicated to the factors in the "methodology characteristics" category, mainly because these factors can be directly influenced by the GPRN
AB - BACKGROUND: Information on the incidence and prevalence of diseases is a core indicator for public health. There are several ways to estimate morbidity in a population (e.g., surveys, healthcare registers). In this paper, we focus on one particular source: general practice based registers. Dutch general practice is a potentially valid source because nearly all non-institutionalized inhabitants are registered with a general practitioner (GP), and the GP fulfils the role as "gatekeeper". However, there are some unexplained differences among morbidity estimations calculated from the data of various general practice registration networks (GPRNs). OBJECTIVE: To describe and categorize factors that may explain the differences in morbidity rates from different GPRNs, and to provide an overview of these factors in Dutch GPRNs. RESULTS: Four categories of factors are distinguished: "healthcare system", "methodological characteristics", "general practitioner", and "patient". The overview of 11 Dutch GPRNs reveals considerable differences in factors. CONCLUSION: Differences in morbidity estimation depend on factors in the four categories. Most attention is dedicated to the factors in the "methodology characteristics" category, mainly because these factors can be directly influenced by the GPRN
U2 - https://doi.org/10.1080/13814780802436218
DO - https://doi.org/10.1080/13814780802436218
M3 - Article
C2 - 18949646
SN - 1751-1402
VL - 14
SP - 53
EP - 62
JO - European journal of general practice
JF - European journal of general practice
IS - Suppl. 1
ER -