Evidence map›Paper›PMID 31167250›Full record

ArticleApplied clinical informatics2019

A Quantitative and Qualitative Analysis of Electronic Prescribing Incidents Reported by Community Pharmacists.

Ana L Hincapie, Ahmad Alamer, Julie Sears, Terri L Warholak, Semin Goins, Sara Danielle Weinstein

Abstract read
In one paragraph

Article in Applied clinical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. E-prescribing and medication safety in community settings: A rapid scoping review.Exploratory research in clinical and social pharmacy · 2023
    Article
  6. Review
  7. Article
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

6 authors.

Ana L HincapieJames L. Winkle College of Pharmacy, University of Cincinnati, Cincinnati, Ohio, United States.
Ahmad AlamerThe University of Arizona College of Pharmacy, Tucson, Arizona, United States.
Julie SearsJames L. Winkle College of Pharmacy, University of Cincinnati, Cincinnati, Ohio, United States.
Terri L WarholakThe University of Arizona College of Pharmacy, Tucson, Arizona, United States.
Semin GoinsJames L. Winkle College of Pharmacy, University of Cincinnati, Cincinnati, Ohio, United States.
Sara Danielle WeinsteinThe University of Arizona College of Pharmacy, Tucson, Arizona, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic prescribing (e-prescribing) technology was introduced as an alternative to handwritten prescriptions allowing health care professionals to send prescriptions directly to pharmacies. While the technology has many advantages, such as improving pharmacy workflow and reducing medication errors, some limitations have been realized.

objectiveThe objective of this study was to examine the frequency, type, and contributing factors of e-prescribing quality-related incidents reported to two national error-reporting databases in the United States.

methodsThis was a retrospective analysis of voluntarily reports of e-prescribing quality-related incidents. A quantitative and qualitative analysis was conducted of incidents reported between 2011 and 2015 to the Pharmacy Quality Commitment (PQC) and the Pharmacy Provider e-prescribing Experience Reporting Portal (PEER) databases. For the qualitative analysis, events were combined from the PQC and PEER portal and a 10% random sample of events were analyzed.

resultsA total of 589 events were reported to the PEER Portal. Of these, problems with patient directions were the most frequent incident type (

conclusionThe use of qualitative and quantitative incident data revealed that patient directions and quantity selection were the most common quality issues with e-prescribing. In turn, this may increase the likelihood of patients receiving incorrect drug therapy.

Indexed as

Electronic PrescribingPharmacistsResearch ReportResidence CharacteristicsHumansMedication Errors

Identifiers

PMID31167250
PMCPMC6551211

What OpenQuestion holds

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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.