Evidence map›Paper›PMID 30959751›Full record

ArticleHealthcare (Basel, Switzerland)2019

Impact of Electronic Health Record Systems on Prescribing Errors in Pediatric Clinics.

Brooke L Gildon, Michelle Condren, Christine C Hughes

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Brooke L GildonCollege of Pharmacy, Southwestern Oklahoma State University, Weatherford, OK 73096, USA. brooke.gildon@swosu.edu.
Michelle CondrenSchool of Community Medicine, University of Oklahoma, Tulsa, OK 74135, USA. michelle-condren@ouhsc.edu.
Christine C HughesSaint Francis Health System, Inc., Tulsa, OK 74136, USA. cchughes@saintfrancis.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medication errors are commonly reported in the pediatric population. While evidence supports the use of e-prescribing to prevent certain errors, prescribing with an electronic health record (EHR) system is not devoid of errors. Furthermore, the majority of EHRs are not equipped with functionalities addressing pediatric needs. This study analyzes three unique EHRs in three pediatric clinics. It describes the functionality of each system and identifies errors found in e-prescribed prescriptions. Finally, the study estimates the proportion of e-prescribing errors that could have been avoided if those EHRs had met requirements set by the American Academy of Pediatrics (AAP). The number of prescriptions reviewed for Clinics 1, 2, and 3, respectively, were: 477, 408, and 633 with total error rates of 13.2%, 8.8%, and 6.6%. The clinic EHRs included 21%, 26%, and 47% of the AAP pediatric requirements for safe and effective e-prescribing for children. If all AAP elements had been included in the EHRs, over 83% of errors in the examined e-prescriptions could have been prevented. This study demonstrates that EHR systems used by many pediatric clinic practices do not meet the standard set forth by the AAP. To ensure our most vulnerable population is better protected, it is imperative that medical technology tools adequately consider pediatric needs during development and that this is reflected in selected EHR systems.

Indexed as

childrenelectronic health recordsmedicationpediatricsprescribing errors

Identifiers

PMID30959751
PMCPMC6627567

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.