JCO Clinical Cancer Informatics · 2018 · 26 citations · 41 references
PharmacyClinical SciencesClinical Information SystemsElectronic Health RecordsOutcomes ResearchAdverse Event ReportingClinical Outcome AssessmentClinical Trial Data CollectionClinical Trial DocumentationPatient-reported Outcome MeasuresPatient-reported OutcomesClinical Outcome MeasurementClinical Outcome ReportingElectronic Medical RecordsPatient-reported Outcome Measure ValidationPatient-reported Outcome MeasurementPatient-reported Outcome ReportingPatient-reported Outcome ValidationValidated Symptom Questionnaires
PURPOSE: Health care research increasingly relies on assessment of data extracted from electronic medical records (EMRs). Clinical trial adverse event (AE) logs and patient-reported outcomes (PROs) are sources of data often available in the context of specific research projects. The aim of this study was to evaluate the extent of data concordance from these sources. PATIENTS AND METHODS: Patients enrolled in clinical trials or receiving standard treatment for lung cancer (n = 62) completed validated questionnaires on physical and psychological symptoms at up to three assessment points. Temporally matched documentation was extracted from EMR notes and, for clinical trial participants (n = 41), AE logs. Evaluated data included symptom assessment, vital signs, medication logs, and laboratory values. Agreement (positive, negative) and Cohen's κ coefficients were calculated to assess concordance of symptoms among sources, with PROs considered the gold standard. RESULTS: Patient-reported weight loss correlated significantly with clinical measurements ( t = 2.90; P = .02), and average number of PROs correlated negatively with albumin concentration, supporting PROs as the gold standard. Comparisons of PROs versus EMR yielded poor concordance across 11 physical symptoms, anxiety, and depressive symptoms (all κ < 0.40). Providers under-reported the presence of each symptom in the EMR compared with PROs. AE logs showed similarly poor concordance with PROs (all κ < 0.40, except shortness of breath). Negative agreement among sources was higher than positive agreement for all symptoms except pain. CONCLUSION: There was poor concordance between EMR notes and AE logs with PROs. Findings suggest that EMR notes and AE logs may not be reliable sources for capturing physical and psychological symptoms experienced by patients with lung cancer, supporting use of PRO assessments in oncology practices.
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The Measurement of Observer Agreement for Categorical Data
J. Richard Landis, Gary G. Koch · Biometrics · 1977 · 78.9K citations · Full text
Lenore Sawyer Radloff · Applied Psychological Measurement · 1977 · 53.3K citations · Full text
Paul A. Harris, Robert Taylor, Robert J. Thielke et al. · Journal of Biomedical Informatics · 2008 · 51.7K citations · Full text