Literature DB >> 18949646

What factors explain the differences in morbidity estimations among general practice registration networks in the Netherlands? A first analysis.

Catharina van den Dungen1, Nancy Hoeymans, Ronald Gijsen, Marjan van den Akker, Jos Boesten, Henk Brouwer, Hugo Smeets, Willem Jan van der Veen, Robert Verheij, Margot de Waal, Francois Schellevis, Gert Westert.   

Abstract

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.

Entities:  

Mesh:

Year:  2008        PMID: 18949646     DOI: 10.1080/13814780802436218

Source DB:  PubMed          Journal:  Eur J Gen Pract        ISSN: 1381-4788            Impact factor:   1.904


  15 in total

1.  [Health disorders and their prevalence in two primary care practices from the perspective of different coding].

Authors:  Waltraud Fink; Otto Kasper; Gustav Kamenski
Journal:  Wien Med Wochenschr       Date:  2017-05-10

2.  Estimating and comparing incidence and prevalence of chronic diseases by combining GP registry data: the role of uncertainty.

Authors:  Pieter H van Baal; Peter M Engelfriet; Rudolf T Hoogenveen; Marinus J Poos; Catharina van den Dungen; Hendriek C Boshuizen
Journal:  BMC Public Health       Date:  2011-03-15       Impact factor: 3.295

3.  Usefulness of primary care electronic networks to assess the incidence of chlamydia, diagnosed by general practitioners.

Authors:  Anita W M Suijkerbuijk; Ingrid V F van den Broek; Henk J Brouwer; Ann M Vanrolleghem; Johanna H K Joosten; Robert A Verheij; Marianne A B van der Sande; Mirjam E E Kretzschmar
Journal:  BMC Fam Pract       Date:  2011-07-08       Impact factor: 2.497

4.  The influence of population characteristics on variation in general practice based morbidity estimations.

Authors:  C van den Dungen; N Hoeymans; H C Boshuizen; M van den Akker; M C J Biermans; K van Boven; H J Brouwer; R A Verheij; M W M de Waal; F G Schellevis; G P Westert
Journal:  BMC Public Health       Date:  2011-11-24       Impact factor: 3.295

5.  Do practice characteristics explain differences in morbidity estimates between electronic health record based general practice registration networks?

Authors:  C van den Dungen; N Hoeymans; M van den Akker; M C J Biermans; K van Boven; J H K Joosten; R A Verheij; M W M de Waal; F G Schellevis; J A M van Oers
Journal:  BMC Fam Pract       Date:  2014-10-30       Impact factor: 2.497

6.  Dementia incidence trend over 1992-2014 in the Netherlands: Analysis of primary care data.

Authors:  Emma F van Bussel; Edo Richard; Derk L Arts; Astrid C J Nooyens; Preciosa M Coloma; Margot W M de Waal; Marjan van den Akker; Marion C J Biermans; Markus M J Nielen; Kees van Boven; Hugo Smeets; Fiona E Matthews; Carol Brayne; Wim B Busschers; Willem A van Gool; Eric P Moll van Charante
Journal:  PLoS Med       Date:  2017-03-07       Impact factor: 11.069

7.  Estimating incidence and prevalence rates of chronic diseases using disease modeling.

Authors:  Hendrike C Boshuizen; Marinus J J C Poos; Marjan van den Akker; Kees van Boven; Joke C Korevaar; Margot W M de Waal; Marion C J Biermans; Nancy Hoeymans
Journal:  Popul Health Metr       Date:  2017-04-05

Review 8.  Which patients presenting with arthralgia eventually develop rheumatoid arthritis? The current state of the art.

Authors:  Debbie M Boeters; Karim Raza; Annette H M van der Helm-van Mil
Journal:  RMD Open       Date:  2017-11-14

Review 9.  Preventing progression from arthralgia to arthritis: targeting the right patients.

Authors:  Hanna W van Steenbergen; José A Pereira da Silva; Tom W J Huizinga; Annette H M van der Helm-van Mil
Journal:  Nat Rev Rheumatol       Date:  2017-11-09       Impact factor: 20.543

10.  Morbidity and doctor characteristics only partly explain the substantial healthcare expenditures of frequent attenders: a record linkage study between patient data and reimbursements data.

Authors:  Frans T Smits; Henk J Brouwer; Aeilko H Zwinderman; Jacob Mohrs; Hugo M Smeets; Judith E Bosmans; Aart H Schene; Henk C Van Weert; Gerben ter Riet
Journal:  BMC Fam Pract       Date:  2013-09-17       Impact factor: 2.497

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