How do patients with diabetes report their comorbidities? Comparison with administrative data
Related Experiment Video
Updated: Feb 10, 2026

SECONDs Administration Guidelines: A Fast Tool to Assess Consciousness in Brain-injured Patients
Published on: February 6, 2021
Jonas Hoffmann1, Burkhard Haastert2, Manuela Brüne1
1Institute of Health Services Research and Health Economics, German Diabetes Center, Düsseldorf, Germany.
Aims:
Patients with diabetes are probably often unaware of their comorbidities. We estimated agreement between self-reported comorbidities and administrative data.
Methods:
In a random sample of 464 diabetes patients, data from a questionnaire asking about the presence of 14 comorbidities closely related to diabetes were individually linked with statutory health insurance data.
Results:
Specificities were >97%, except cardiac insufficiency (94.5%), eye diseases (93.8%), peripheral arterial disease (92.6%), hypertension (90.9%), and peripheral neuropathy (85.8%). Sensitivities were <60%, except amputation (100%), hypertension (83.1%), and myocardial infarction (67.2%). A few positive predictive values were >90% (hypertension, myocardial infarction, and eye disease), and six were below 70%. Six negative predictive values were >90%, and two <70% (hypertension and eye disease). Total agreement was between 42.7% (eye disease) and 100% (dialysis and amputation). Overall, substantial agreement was observed for three morbidities (kappa 0.61-0.80: hypertension, myocardial infarction, and amputation). Moderate agreement (kappa 0.41-0.60) was estimated for angina pectoris, heart failure, stroke, peripheral neuropathy, and kidney disease. Factors associated with agreement were the number of comorbidities, diabetes duration, age, sex, and education.
Conclusions:
Myocardial infarction and amputation were well reported by patients as comorbidities; eye diseases and foot ulceration rather poorly, particularly in older, male, or less educated patients. Patient information needs improving.
More Related Videos
05:32Comparing Eye-tracking Data of Children with High-functioning ASD, Comorbid ADHD, and of a Control Watching Social Videos
Published on: December 7, 2018
07:59Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
Published on: June 9, 2023
Related Concept Videos
Data Reporting and Recording
The Sense of Self: Reflected Self-Appraisal and Social Comparison
Pathophysiology of Diabetes
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...
Multiple Comparison Tests
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Types of Reports I: Hands-off Report
Following are the key components and categories of hand-off reports:
Purpose and Process:
Evolutionary Relationships through Genome Comparisons