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Comparison of self-reported and register-based hospital medical data on comorbidities in women
Genome Institute of Singapore, 60 Biopolis Street, Genome, Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Old road campus, Oxford, UK.
Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden.
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2019 (English)In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 9, no 1, article id 3527Article in journal (Refereed) Published
Abstract [en]

Breast cancer patients commonly present with comorbidities which are known to influence treatment decisions and survival. We aim to examine agreement between self-reported and register-based medical records (National Patient Register [NPR]). Ascertainment of nine conditions, using individually-linked data from 64,961 women enrolled in the Swedish KARolinska MAmmography Project for Risk Prediction of Breast Cancer (KARMA) study. Agreement was assessed using observed proportion of agreement (overall agreement), expected proportion of agreement, and Cohen's Kappa statistic. Two-stage logistic regression models taking into account chance agreement were used to identify potential predictors of overall agreement. High levels of overall agreement (i.e. ≥86.6%) were observed for all conditions. Substantial agreement (Cohen's Kappa) was observed for myocardial infarction (0.74), diabetes (0.71) and stroke (0.64) between self-reported and NPR data. Moderate agreement was observed for preeclampsia (0.51) and hypertension (0.46). Fair agreement was observed for heart failure (0.40) and polycystic ovaries or ovarian cysts (0.27). For hyperlipidemia (0.14) and angina (0.10), slight agreement was observed. In most subgroups we observed negative specific agreement of >90%. There is no clear reference data source for ascertainment of conditions. Negative specific agreement between NPR and self-reported data is consistently high across all conditions.

Place, publisher, year, edition, pages
Nature Publishing Group, 2019. Vol. 9, no 1, article id 3527
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Cancer and Oncology
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URN: urn:nbn:se:oru:diva-73200DOI: 10.1038/s41598-019-40072-0ISI: 000460381600100PubMedID: 30837593Scopus ID: 2-s2.0-85062585961OAI: oai:DiVA.org:oru-73200DiVA, id: diva2:1297009
Note

Funding Agencies:

Marit and Hans Rausing's Initiative Against Breast Cancer  

Kamprad Family Foundation  

Singapore National Research Foundation Fellowship  NRF-NRFF2017-02 

National Medical Research Council Clinician Scientist Award  NMRC/CSA-SI/0015/2017 

National University Cancer Institute Singapore Centre Grant Programme  CGAug16M005 

Breast Cancer Prevention Programme under SSHSPH-Res-Prog 

Available from: 2019-03-18 Created: 2019-03-18 Last updated: 2019-06-19Bibliographically approved

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Ludvigsson, Jonas F.

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