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Sökning: onr:"swepub:oai:DiVA.org:oru-73200" > Comparison of self-...

Comparison of self-reported and register-based hospital medical data on comorbidities in women

Ho, Peh Joo, (författare)
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
Tan, Chuen Seng, (författare)
Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
Shawon, Shajedur Rahman, (författare)
Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Old road campus, Oxford, UK
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Eriksson, Mikael, (författare)
Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden
Lim, Li Yan, (författare)
Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore
Miao, Hui, (författare)
Genome Institute of Singapore, 60 Biopolis Street, Genome, Singapore, Singapore
Png, Eileen, (författare)
Genome Institute of Singapore, 60 Biopolis Street, Genome, Singapore, Singapore
Chia, Kee Seng, (författare)
Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
Hartman, Mikael, (författare)
Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
Ludvigsson, Jonas F., 1969- (författare)
Örebro universitet, Institutionen för medicinska vetenskaper, Region Örebro län, Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden; Department of Pediatrics, Örebro University Hospital, Örebro, Sweden
Czene, Kamila, (författare)
Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden
Hall, Per, (författare)
Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden; Department of Oncology, Södersjukhuset, Stockholm, Sweden
Li, Jingmei, (författare)
Genome Institute of Singapore, 60 Biopolis Street, Genome, Singapore, Singapore; Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden; Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore
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Örebro universitet Institutionen för medicinska vetenskaper. (creator_code:org_t)
Region Örebro län (creator_code:org_t)
2019
Engelska.
Ingår i: Scientific Reports. - Nature Publishing Group. - 2045-2322. ; 9:1
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  • 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.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

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