Does the concordance between medical records and patient self-report vary with patient characteristics?
Few studies of the concordance between patient self-report and medical record data have examined how concordance varies with patient characteristics, and results of such studies have been mixed. Given discrepancies in the quality of care received across patient cohorts, it is important to understand...
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Veröffentlicht in: | Health services and outcomes research methodology 2006-12, Vol.6 (3-4), p.157-175 |
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creator | Tisnado, Diana M. Adams, John L. Liu, Honghu Damberg, Cheryl L. Hu, Fang Ashlee Chen, Wen-Pin Carlisle, David M. Mangione, Carol M. Kahn, Katherine L. |
description | Few studies of the concordance between patient self-report and medical record data have examined how concordance varies with patient characteristics, and results of such studies have been mixed. Given discrepancies in the quality of care received across patient cohorts, it is important to understand the degree to which concordance metrics are robust across patient characteristics. The paper hypothesizes that concordance between ambulatory medical record and patient survey data varies by patient demographic characteristics, especially education, income, and race/ethnicity. It presents the results of bivariate and multivariate analyses including data from 1,270 patients with at least one of: diabetes, ischemic heart disease, asthma or COPD, or low back pain sampled from 39 West Coast medical organizations. Logistic regressions were conducted to test the impact of patient demographic characteristics, domain of medical care, and health status on these three measures of concordance. Survey sensitivity varied significantly by race/ethnicity in bivariate analyses, but this effect was erased in multivariate analyses. Findings do not support the hypothesis that patient education, income, or race/ethnicity have an independent effect on concordance when controlling for other factors. However, concordance varied significantly by patient health status. |
doi_str_mv | 10.1007/s10742-006-0012-1 |
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Given discrepancies in the quality of care received across patient cohorts, it is important to understand the degree to which concordance metrics are robust across patient characteristics. The paper hypothesizes that concordance between ambulatory medical record and patient survey data varies by patient demographic characteristics, especially education, income, and race/ethnicity. It presents the results of bivariate and multivariate analyses including data from 1,270 patients with at least one of: diabetes, ischemic heart disease, asthma or COPD, or low back pain sampled from 39 West Coast medical organizations. Logistic regressions were conducted to test the impact of patient demographic characteristics, domain of medical care, and health status on these three measures of concordance. Survey sensitivity varied significantly by race/ethnicity in bivariate analyses, but this effect was erased in multivariate analyses. 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Given discrepancies in the quality of care received across patient cohorts, it is important to understand the degree to which concordance metrics are robust across patient characteristics. The paper hypothesizes that concordance between ambulatory medical record and patient survey data varies by patient demographic characteristics, especially education, income, and race/ethnicity. It presents the results of bivariate and multivariate analyses including data from 1,270 patients with at least one of: diabetes, ischemic heart disease, asthma or COPD, or low back pain sampled from 39 West Coast medical organizations. Logistic regressions were conducted to test the impact of patient demographic characteristics, domain of medical care, and health status on these three measures of concordance. Survey sensitivity varied significantly by race/ethnicity in bivariate analyses, but this effect was erased in multivariate analyses. Findings do not support the hypothesis that patient education, income, or race/ethnicity have an independent effect on concordance when controlling for other factors. 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Given discrepancies in the quality of care received across patient cohorts, it is important to understand the degree to which concordance metrics are robust across patient characteristics. The paper hypothesizes that concordance between ambulatory medical record and patient survey data varies by patient demographic characteristics, especially education, income, and race/ethnicity. It presents the results of bivariate and multivariate analyses including data from 1,270 patients with at least one of: diabetes, ischemic heart disease, asthma or COPD, or low back pain sampled from 39 West Coast medical organizations. Logistic regressions were conducted to test the impact of patient demographic characteristics, domain of medical care, and health status on these three measures of concordance. Survey sensitivity varied significantly by race/ethnicity in bivariate analyses, but this effect was erased in multivariate analyses. 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subjects | Age Ambulatory care Asthma Cardiovascular disease Chronic illnesses Diabetes Diabetic retinopathy Education Ethnicity Gender Ischemia Medical records Patients Self report Studies |
title | Does the concordance between medical records and patient self-report vary with patient characteristics? |
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