| Titre : | Sentinel practice networks - opportunities and limitations. Approaches to the denominator in practice-based epidemiology : a critical overview. (1998) |
| Auteurs : | M. SCHLAUD ; M.H. BRENNER ; M. HOOPMANN ; Martin SCHLAUD, éd. ; F.W. SCHWARTZ ; Friedrich-Wilhelm SCHWARTZ, éd. ; Selwyn ST LEGER, éd. ; Department of Epidemiology and Social Medicine. Hannover Medical School. Hannover. DEU ; Hannover Sentinel Workshop. (01/03/1996; Hannover. DEU) |
| Type de document : | Article |
| Dans : | Journal of epidemiology and community health (vol. 52, 1998) |
| Pagination : | 36 réf. |
| Langues: | Anglais |
| Mots-clés : | Surveillance épidémiologique ; Morbidité [épidémiologie] ; Epidémiologie ; Réseau ; Population ; Morbidité ; Homme ; Consultation |
| Résumé : | [BDSP. Notice produite par INIST GR0x2ojh. Diffusion soumise à autorisation]. Objectives-An accurate knowledge of the population at risk is a fundamental requirement for determining rates and making comparisons in epidemiological research. The major obstacle of studying the epidemiology of sentinel practice networks is the determination of population at risk, in this case, the reference population of medical practices. This article is intended to give a brief overview of major denominator approaches used in practice based epidemiology today, to discuss their underlying assumptions, their strengths and limitations. Design-The literature used in this paper was searched from Medline databases of 197% - 1997 using the logical expression "denominator and practice". More literature was identified from the references cited in those articles and from research reports that were available to the authors. Main results-There are various approaches to the denominator at different levels of complexity, which are presented akin to the well known "iceberg phenomenon" : with only a small portion of the iceberg visible above the surface, inference as to the size of the invisible part may still be made under certain assumptions. Crude numbers of cases may still reflect trends in the true epidemiology of disease and may be useful for time-series analyses. Differences in the number of network participants over time and across region may be controlled for by using the number of sentinel practices as a denominator. (...) |
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