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

Overview of attention for article published in International Journal of Paediatric Dentistry, September 2020
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Article details
Title
Survey and electronic health record‐based medication use agreement in children with cystic fibrosis: A retrospective cross‐sectional study
Published in
International Journal of Paediatric Dentistry, September 2020
DOI 10.1111/ipd.12724
Pubmed ID
Authors
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 two 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% to 83.6%; kappa: 0.07), pancreatic enzymes (80% agreement; 95% CI: 71.3% to 88.7%; kappa: 0.12), and vitamin D (55.3% agreement; 95% CI: 44.5% to 66.1%; kappa: 0.20) to moderate for chronic azithromycin (80% agreement; 95% CI: 7.13% to 88.7%; kappa: 0.50), proton pump inhibitors (76.5% agreement; 95% CI: 67.3% to 85.7%; kappa: 0.46), and oral antibiotics (70.6% agreement; 95% CI: 60.7% to 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.

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Mendeley demographics

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The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 5 14%
Student > Bachelor 4 11%
Student > Master 4 11%
Other 2 6%
Student > Doctoral Student 1 3%
Other 1 3%
Unknown 18 51%
Readers by discipline
Readers by discipline Count As %
Psychology 5 14%
Medicine and Dentistry 5 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Agricultural and Biological Sciences 1 3%
Computer Science 1 3%
Other 2 6%
Unknown 19 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 September 2020.
All research outputs
#20,642,821
of 23,237,082 outputs
Outputs from International Journal of Paediatric Dentistry
#556
of 636 outputs
Outputs of similar age
#352,125
of 411,491 outputs
Outputs of similar age from International Journal of Paediatric Dentistry
#14
of 19 outputs
Altmetric has tracked 23,237,082 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 636 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 411,491 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.