A comparison between the self-report of chronic cardiovascular diseases with health insurance data: insights from the population-based LIFE-Adult study

The use of German health insurance data is a feasible method for verifying population-based self-reported diagnoses. The sensitivity varied among the self-reported diseases compared with the health insurance data, whereas the specificity was continuously high. The verification of self-reported diagnoses using health insurance data as an additional data source may be considered in future population-based assessments to reduce misclassification error of self-reported data.

Authors

Institutions

Publication Details

Journal
Archives of Public Health
Published
2025-05-07
DOI
https://doi.org/10.1186/s13690-025-01606-3
Citations
1
Primary Topic
Chronic Disease Management Strategies
Type
article
Field-Weighted Citation Impact
1.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A comparison between the self-report of chronic cardiovascular diseases with health insurance data: insights from the population-based LIFE-Adult study

Lars Greulich, Tina Stegmann, Stefan Bassler, Nigar Reyes et al.
1 citations
Archives of Public Health
Chronic Disease Management Strategies
1.35
article

A comparison between the self-report of chronic cardiovascular diseases with health insurance data: insights from the population-based LIFE-Adult study

Lars Greulich, Tina Stegmann, Stefan Bassler, Nigar Reyes, Matthias Reusche, Markus Loeffler, Maryam Yahiaoui‐Doktor, Melissa G. Collier, Katharina Czech, Samira Zeynalova, Anja Martin, Ute Enders, Peter Worringen
article en
1 citations

Abstract

The use of German health insurance data is a feasible method for verifying population-based self-reported diagnoses. The sensitivity varied among the self-reported diseases compared with the health insurance data, whereas the specificity was continuously high. The verification of self-reported diagnoses using health insurance data as an additional data source may be considered in future population-based assessments to reduce misclassification error of self-reported data.

Archives of Public HealthVol. 83(1)
Leipzig University of Applied Sciences (DE), University Hospital Leipzig (DE), IKK Classic (DE), Life University (US), Technische Universität Dresden (DE), Leipzig University (DE)
European Commission, Deutsche Herzstiftung, Universität Leipzig, Freistaat Sachsen, European Regional Development Fund
Openalex Percentile: Top 20%
Chronic Disease Management Strategies
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A comparison between the self-report of chronic cardiovascular diseases with health insurance data: insights from the population-based LIFE-Adult study — Lars Greulich, Tina Stegmann, et al. · Archives of Public Health (2025) | TGRS Research Map | TGRS