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Survey and electronic health record-based medication use agreement in children with cystic fibrosis: A retrospective cross-sectional study
Journal article   Open access   Peer reviewed

Survey and electronic health record-based medication use agreement in children with cystic fibrosis: A retrospective cross-sectional study

Jordan T Banks, Margaret Rosenfeld, Lloyd Mancl and Donald L Chi
International journal of paediatric dentistry, Vol.31(2), pp.247-253
03/2021
DOI: 10.1111/ipd.12724
PMID: 32936971
url
https://www.ncbi.nlm.nih.gov/pmc/articles/11682718View
Open Access

Abstract

Medication use is important to collect accurately in medically complex patients in both clinical and research settings. We assessed patient-level agreement for medication use between self-reported survey and electronic health record (EHR) for children with cystic fibrosis (CF). 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. 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). 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.
Adolescent Adult Child Cross-Sectional Studies Cystic Fibrosis - drug therapy Electronic Health Records Humans Retrospective Studies Surveys and Questionnaires Young Adult

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