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Survey and electronic health record‐based medication use agreement in children with cystic fibrosis: A retrospective cross‐sectional study
Author(s) -
Banks Jordan T.,
Rosenfeld Margaret,
Mancl Lloyd,
Chi Donald L.
Publication year - 2021
Publication title -
international journal of paediatric dentistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.183
H-Index - 62
eISSN - 1365-263X
pISSN - 0960-7439
DOI - 10.1111/ipd.12724
Subject(s) - medicine , kappa , cohen's kappa , cystic fibrosis , cross sectional study , confidence interval , pediatrics , retrospective cohort study , pathology , philosophy , linguistics , machine learning , computer science
Background Medication use is important to collect accurately in medically complex patients in both clinical and research settings. Aim We assessed patient‐level agreement for medication use between self‐reported survey and electronic health record (EHR) for children with cystic fibrosis (CF). Methods Our retrospective cross‐sectional study focused on children with CF ages 6‐20 years from Seattle Children's Hospital in Washington state, USA (N = 85). A self‐ or parent‐reported survey included questions on current use of specific medications and antibiotic use in the past 2 months. We compared survey data with data abstracted from the individual's EHR and derived Cohen's Kappa statistics to estimate the level of agreement between the two methods. Results Self‐reported medication use was generally higher in the survey than in the EHR. The level of agreement ranged from slight for probiotics (74.1% agreement; 95% confidence interval [CI]: 64.6%‐83.6%; kappa: 0.07), pancreatic enzymes (80% agreement; 95% CI: 71.3%‐88.7%; kappa: 0.12), and vitamin D (55.3% agreement; 95% CI: 44.5%‐66.1%; kappa: 0.20) to moderate for chronic azithromycin (80% agreement; 95% CI: 7.13%‐88.7%; kappa: 0.50), proton pump inhibitors (76.5% agreement; 95% CI: 67.3%‐85.7%; kappa: 0.46), and oral antibiotics (70.6% agreement; 95% CI: 60.7%‐80.5%; kappa: 0.42). Conclusion There is considerable heterogeneity in level of agreement in medication use between self‐reported survey and EHR data for children with CF. Standardized approaches are needed to improve the accuracy of medication data collected in clinical practice and research.