ArticleOncology nursing forum2026
Concordance Between Patient-Reported and Clinically Documented Symptoms in Acute Myeloid Leukemia.
Article in Oncology nursing forum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
7 authors.
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Abstract
objectivesTo describe the frequency and documentation patterns of patient-reported and clinically documented symptoms, and to determine the degree of concordance and discordance between patient-reported symptoms and electronic health record (EHR) documentation. SAMPLE &
setting31 adult patients with acute myeloid leukemia hospitalized at a large academic tertiary healthcare center. METHODS & VARIABLES: Self-reported symptoms were collected using a modified Memorial Symptom Assessment Scale, in which patients reported symptoms experienced during the prior seven days. Clinician-documented symptoms were manually extracted from clinical notes and nursing flow sheets in the EHR. Concordance and discordance were evaluated using Cohen's kappa and McNemar's tests.
resultsLack of energy (87% patients, 87% clinicians) and lack of appetite (74% patients, 84% clinicians) were the most frequently reported symptoms. However, many symptoms, particularly psychosocial symptoms such as feeling sad (n = 17 patients, 2 clinicians; kappa = -0.01, p = 0.001) and feeling irritable (n = 10 patients, 2 clinicians; kappa = -0.12, p = 0.043), showed substantial discordance and were often underdocumented in the EHR, suggesting that subjective patient experiences may be overlooked in routine documentation. IMPLICATIONS FOR NURSING: Accurate and comprehensive symptom documentation is essential for effective symptom management and clinical decision-making. Integrating structured symptom assessment tools or patient-reported outcomes into the EHR may improve documentation accuracy and enhance the quality of care for patients with acute myeloid leukemia.
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