Sascha Abbas1, Peter Ihle, Ingrid Köster, Ingrid Schubert. 1. PMV Research Group at the Department of Child and Adolescent Psychiatry and Psychotherapy, University of Cologne, Herderstr. 52, 50931 Cologne, Germany. Sascha.Abbas@uk-koeln.de
Abstract
OBJECTIVE: To analyze the impact of the length of disease-free intervals on incidence estimation. DATA SOURCE: Statutory health insurance sample in Germany. STUDY DESIGN: Overestimation of the incidence in the first quarter of 2008 for three selected diseases, diabetes mellitus, colorectal cancer, and heart failure, depending on different lengths of preceding disease-free intervals. DATA COLLECTION/EXTRACTION METHODS: Continuously insured from 2000 until 2008 ≥ 18 years (N = 144,907). PRINCIPAL FINDINGS: Compared with an 8-year disease-free period, incidence overestimations for diabetes, colorectal cancer, and heart failure were 40, 23, and 43 percent defining a 1-year, and 5, 9, and 5 percent defining a 5-year disease-free period, respectively. CONCLUSIONS: Depending on the specific disease, caution has to be taken while using short disease-free periods because incidence estimates may be extremely overestimated.
OBJECTIVE: To analyze the impact of the length of disease-free intervals on incidence estimation. DATA SOURCE: Statutory health insurance sample in Germany. STUDY DESIGN: Overestimation of the incidence in the first quarter of 2008 for three selected diseases, diabetes mellitus, colorectal cancer, and heart failure, depending on different lengths of preceding disease-free intervals. DATA COLLECTION/EXTRACTION METHODS: Continuously insured from 2000 until 2008 ≥ 18 years (N = 144,907). PRINCIPAL FINDINGS: Compared with an 8-year disease-free period, incidence overestimations for diabetes, colorectal cancer, and heart failure were 40, 23, and 43 percent defining a 1-year, and 5, 9, and 5 percent defining a 5-year disease-free period, respectively. CONCLUSIONS: Depending on the specific disease, caution has to be taken while using short disease-free periods because incidence estimates may be extremely overestimated.
Authors: L Linsell; J Dawson; K Zondervan; P Rose; T Randall; R Fitzpatrick; A Carr Journal: Rheumatology (Oxford) Date: 2005-11-01 Impact factor: 7.580
Authors: Paul M Bakaki; Siran M Koroukian; Leila W Jackson; Jeffrey M Albert; Kitti Kaiboriboon Journal: Epilepsy Res Date: 2013-06-20 Impact factor: 3.045