Using registries in general practice to estimate countrywide morbidity in The Netherlands

Gijsen, R; Poos, Marinus J.J.C.

doi:10.1016/j.puhe.2006.06.005

Cited by 32 publications

(32 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is important to realize that the GP setting reflects morbidity that is seen, recognized, and documented by medical professionals [13]. It is especially known that psychiatric morbidity was not well recognized in general practice [14,15].…”

Section: 5mentioning

confidence: 99%

Setting and registry characteristics affect the prevalence and nature of multimorbidity in the elderly

Schram

Frijters

Lisdonk

et al. 2008

Journal of Clinical Epidemiology

150

157

View full text Add to dashboard Cite

show abstract

Section: 5mentioning

confidence: 99%

Setting and registry characteristics affect the prevalence and nature of multimorbidity in the elderly

Schram

Frijters

Lisdonk

et al. 2008

Journal of Clinical Epidemiology

150

157

View full text Add to dashboard Cite

show abstract

“…Let's see how they can contribute to the understanding of the seminal act in healthcare; the meeting between a patient and a provider. We are not addressing here the innumerous contributions of family doctors to epidemiology of the first line (2)(3)(4)(5), nor their contribution to the health information process (6,7), but their relation to time, to knowledge, and to preventative attitude.…”

mentioning

confidence: 99%

Quaternary prevention, an answer of family doctors to overmedicalization

Jamoulle

2015

Int J Health Policy Manag

104

View full text Add to dashboard Cite

In response to the questioning of Health Policy and Management (HPAM) by colleagues on the role of rank and file family physicians in the same journal, the author, a family physician in Belgium, is trying to highlight the complexity and depth of the work of his colleagues and their contribution to the understanding of the organization and economy of healthcare. It addresses, in particular, the management of health elements throughout the ongoing relationship of the family doctor with his/her patients. It shows how the three dimensions of prevention, clearly included in the daily work, are complemented with the fourth dimension, quaternary prevention or prevention of medicine itself, whose understanding could help to control the economic and human costs of healthcare.

show abstract

“…Previous research has shown that morbidity estimates between different general practice registration networks vary considerably [2]. These differences could not be explained by differences in characteristics of the patient population or in the characteristics of the general practice [3, 4].…”

Section: Background and Goalmentioning

confidence: 99%

Estimating incidence and prevalence rates of chronic diseases using disease modeling

Boshuizen¹,

Poos²,

Akker³

et al. 2017

Popul Health Metrics

View full text Add to dashboard Cite

BackgroundMorbidity estimates between different GP registration networks show large, unexplained variations. This research explores the potential of modeling differences between networks in distinguishing new (incident) cases from existing (prevalent) cases in obtaining more reliable estimates.MethodsData from five Dutch GP registration networks and data on four chronic diseases (chronic obstructive pulmonary disease [COPD], diabetes, heart failure, and osteoarthritis of the knee) were used. A joint model (DisMod model) was fitted using all information on morbidity (incidence and prevalence) and mortality in each network, including a factor for misclassification of prevalent cases as incident cases.ResultsThe observed estimates vary considerably between networks. Using disease modeling including a misclassification term improved the consistency between prevalence and incidence rates, but did not systematically decrease the variation between networks. Osteoarthritis of the knee showed large modeled misclassifications, especially in episode of care-based registries.ConclusionRegistries that code episodes of care rather than disease generally provide lower estimates of the prevalence of chronic diseases requiring low levels of health care such as osteoarthritis. For other diseases, modeling misclassification rates does not systematically decrease the variation between registration networks. Using disease modeling provides insight in the reliability of estimates.

show abstract

Using registries in general practice to estimate countrywide morbidity in The Netherlands

Cited by 32 publications

References 32 publications

Setting and registry characteristics affect the prevalence and nature of multimorbidity in the elderly

Setting and registry characteristics affect the prevalence and nature of multimorbidity in the elderly

Quaternary prevention, an answer of family doctors to overmedicalization

Estimating incidence and prevalence rates of chronic diseases using disease modeling

Contact Info

Product

Resources

About