OBJECTIVE: To investigate to what extent differences in diagnosed @entity6 prevalence can be attributed to differences in the general practitioner's (GP) screening activity. DESIGN: An analysis of electronic @entity1 files in combination with a survey among GPs. Setting. Ten primary healthcare centres with 44 GPs in the Netherlands. @entity1 : General population (n = 58,919) and type 2 @entity6 @entity1 (n = 2582). MAIN OUTCOME MEASURES: Each GP filled in a questionnaire with questions concerning screening methods for @entity6 . The presence of @entity6 and date of diagnosis were determined. The potential confounding variables age, sex, and postal code (which we used to determine socioeconomic status) were retrieved from @entity1 records. RESULTS: The yearly point prevalence of @entity6 increased significantly from 2.92% in 2000-2001 to 4.25% in 2005-2006 (p = 0.002). The incidence increased from 3.29/1000 @entity1 -years to 5.13/1000 @entity1 -years (p = 0.019). High screening activity of the general practitioner resulted in statistically significantly higher odds (1.35; p = 0.015) of being diagnosed as a @entity1 with @entity6 . The effect was independent of the influence of age, gender, and socioeconomic status. CONCLUSION: Screening activity of the GP has a statistically significant and relevant influence on the prevalence of diagnosed @entity6 . General practitioners should evaluate their screening activity to optimize the identification of @entity6 @entity1 .

The effect of screening on the prevalence of diagnosed type 2 XXXX in primary care.

@entity1 :: ('9606', 'Species') :: ['patients', 'patient', 'PATIENTS', 'person'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetic', 'diabetes']
@entity6 :: (MESH:D003920,Disease) :: ['diabetes']
