"Concordance between comorbidity data from patient self-report interviews and medical record documentation"
Open Access
- 16 April 2008
- journal article
- research article
- Published by Springer Nature in BMC Health Services Research
- Vol. 8 (1) , 85
- https://doi.org/10.1186/1472-6963-8-85
Abstract
Comorbidity is an important adjustment measure in research focusing on outcomes such as health status and mortality. One recurrent methodological issue concerns the concordance of comorbidity data obtained from different reporting sources. The purpose of these prospectively planned analyses was to examine the concordance of comorbidity data obtained from patient self-report survey interviews and hospital medical record documentation.Keywords
This publication has 36 references indexed in Scilit:
- Does Outpatient Telephone Coaching Add to Hospital Quality Improvement Following Hospitalization for Acute Coronary Syndrome?Journal of General Internal Medicine, 2008
- The effect of co-morbidities on health-related quality of life in patients placed on the waiting list for total joint replacementHealth and Quality of Life Outcomes, 2007
- What is the Concordance Between the Medical Record and Patient Self-Report as Data Sources for Ambulatory Care?Medical Care, 2006
- Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failureJournal of Clinical Epidemiology, 2004
- The self‐administered comorbidity questionnaire: A new method to assess comorbidity for clinical and health services researchArthritis Care & Research, 2003
- Comprehensive Assessment of the Elderly Cancer Patient: The Feasibility of Self-Report MethodologyJournal of Clinical Oncology, 2002
- Validation of a combined comorbidity indexJournal of Clinical Epidemiology, 1994
- A brief self-administered questionnaire to determine functional capacity (The Duke Activity Status Index)Published by Elsevier ,1989
- A new method of classifying prognostic comorbidity in longitudinal studies: Development and validationJournal of Chronic Diseases, 1987
- Longitudinal data analysis using generalized linear modelsBiometrika, 1986