TY - JOUR
T1 - Comparison of patient report and medical records of comorbidities
T2 - Results from a population-based cohort of patients with prostate cancer
AU - Ye, Fan
AU - Moon, Dominic H.
AU - Carpenter, William R.
AU - Reeve, Bryce B.
AU - Usinger, Deborah S.
AU - Green, Rebecca L.
AU - Spearman, Kiayni
AU - Sheets, Nathan C.
AU - Pearlstein, Kevin A.
AU - Lucero, Angela R.
AU - Waddle, Mark R.
AU - Godley, Paul A.
AU - Chen, Ronald C.
N1 - Funding Information:
Funding/Support: This research was funded by contract HHSA29020050040I from the Agency for Healthcare Research and Quality, US Department of Health and Human Services, as part of the DEcIDE (Developing Evidence to Inform Decisions about Effectiveness) program.
Publisher Copyright:
© 2017 American Medical Association. All rights reserved.
PY - 2017/8
Y1 - 2017/8
N2 - IMPORTANCE: The comorbid conditions of patients with cancer affect treatment decisions, which in turn affect survival and health-related quality-of-life outcomes. Comparative effectiveness research studies must account for these conditions via medical record abstraction or patient report. OBJECTIVE: To examine the agreement between medical records and patient reports in assessing comorbidities. DESIGN, SETTING, AND PARTICIPANTS: Patient-reported information and medical records were prospectively collected as part of the North Carolina Prostate Cancer Comparative Effectiveness & Survivorship Study, a population-based cohort of 881 patients with newly diagnosed localized prostate cancer enrolled in the North Carolina Central Cancer Registry from January 1, 2011, through June 30, 2013. The presence or absence of 20 medical conditions was compared based on patient report vs abstraction of medical records. MAIN OUTCOMES AND MEASURES: Agreement between patient reports and medical records for each condition was assessed using the κ statistic. Subgroup analyses examined differences in κ statistics based on age, race, marital status, educational level, and income. Logistic regression models for each condition examined factors associated with higher agreement. RESULTS: A total of 881 patients participated in the study (median age, 65 years; age range, 41-80 years; 633 white [71.9%]). In 16 of 20 conditions, there was agreement between patient reports and medical records for more than 90% of patients; agreement was lowest for hyperlipidemia (68%; κ = 0.36) and arthritis (66%; κ = 0.14). On multivariable analysis, older age (≥70 years old) was significantly associated with lower agreement for myocardial infarction (odds ratio [OR], 0.31; 95% CI, 0.12-0.80), cerebrovascular disease (OR, 0.10; 95% CI, 0.01-0.78), coronary artery disease (OR, 0.37; 95% CI, 0.20-0.67), arrhythmia (OR, 0.44; 95% CI, 0.25-0.79), and kidney disease (OR, 0.18; 95% CI, 0.06-0.52). Race and educational level were not significantly associated with κ in 18 of 19 modeled conditions. CONCLUSIONS AND RELEVANCE: Overall, patient reporting provides information similar to medical record abstraction without significant differences by patient race or educational level. Use of patient reports, which are less costly than medical record audits, is a reasonable approach for observational comparative effectiveness research.
AB - IMPORTANCE: The comorbid conditions of patients with cancer affect treatment decisions, which in turn affect survival and health-related quality-of-life outcomes. Comparative effectiveness research studies must account for these conditions via medical record abstraction or patient report. OBJECTIVE: To examine the agreement between medical records and patient reports in assessing comorbidities. DESIGN, SETTING, AND PARTICIPANTS: Patient-reported information and medical records were prospectively collected as part of the North Carolina Prostate Cancer Comparative Effectiveness & Survivorship Study, a population-based cohort of 881 patients with newly diagnosed localized prostate cancer enrolled in the North Carolina Central Cancer Registry from January 1, 2011, through June 30, 2013. The presence or absence of 20 medical conditions was compared based on patient report vs abstraction of medical records. MAIN OUTCOMES AND MEASURES: Agreement between patient reports and medical records for each condition was assessed using the κ statistic. Subgroup analyses examined differences in κ statistics based on age, race, marital status, educational level, and income. Logistic regression models for each condition examined factors associated with higher agreement. RESULTS: A total of 881 patients participated in the study (median age, 65 years; age range, 41-80 years; 633 white [71.9%]). In 16 of 20 conditions, there was agreement between patient reports and medical records for more than 90% of patients; agreement was lowest for hyperlipidemia (68%; κ = 0.36) and arthritis (66%; κ = 0.14). On multivariable analysis, older age (≥70 years old) was significantly associated with lower agreement for myocardial infarction (odds ratio [OR], 0.31; 95% CI, 0.12-0.80), cerebrovascular disease (OR, 0.10; 95% CI, 0.01-0.78), coronary artery disease (OR, 0.37; 95% CI, 0.20-0.67), arrhythmia (OR, 0.44; 95% CI, 0.25-0.79), and kidney disease (OR, 0.18; 95% CI, 0.06-0.52). Race and educational level were not significantly associated with κ in 18 of 19 modeled conditions. CONCLUSIONS AND RELEVANCE: Overall, patient reporting provides information similar to medical record abstraction without significant differences by patient race or educational level. Use of patient reports, which are less costly than medical record audits, is a reasonable approach for observational comparative effectiveness research.
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U2 - 10.1001/jamaoncol.2016.6744
DO - 10.1001/jamaoncol.2016.6744
M3 - Article
C2 - 28208186
AN - SCOPUS:85029560392
SN - 2374-2437
VL - 3
SP - 1035
EP - 1042
JO - JAMA oncology
JF - JAMA oncology
IS - 8
ER -