Evidence map›Paper›PMID 24373898›Full record

ArticleResearch in social & administrative pharmacy : RSAP

How do community pharmacies recover from e-prescription errors?

Olufunmilola K Odukoya, Jamie A Stone, Michelle A Chui

Abstract read
In one paragraph

Article in Research in social & administrative pharmacy : RSAP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Quality of prescription writing in Brazilian primary health care.Primary health care research & development · 2023
    Observational
  6. Implementation outcomes of the Structured and Codified SIG format in electronic prescription directions.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  7. Article
  8. Observational
  9. Article
  10. Article
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  12. 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.

Olufunmilola K OdukoyaSchool of Pharmacy, Department of Pharmacy and Therapeutics, University of Pittsburgh, 3501 Terrace St, Pittsburgh, PA 15261, USA. Electronic address: oodukoya@pitt.edu.
Jamie A StoneSchool of Pharmacy, Social and Administrative Sciences Division, University of Wisconsin-Madison, Madison, WI, USA.
Michelle A ChuiSchool of Pharmacy, Social and Administrative Sciences Division, University of Wisconsin-Madison, Madison, WI, USA.

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
Institutional Clinical and Translational Science AwardKL2TR000428 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$6.2M
NCATS NIH HHS KL2 TR000428NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1TR000427.NCRR NIH HHS UL1 RR025011
6 · The paper itself

Abstract

backgroundThe use of e-prescribing is increasing annually, with over 788 million e-prescriptions received in US pharmacies in 2012. Approximately 9% of e-prescriptions have medication errors.

objectiveTo describe the process used by community pharmacy staff to detect, explain, and correct e-prescription errors.

methodsThe error recovery conceptual framework was employed for data collection and analysis. 13 pharmacists and 14 technicians from five community pharmacies in Wisconsin participated in the study. A combination of data collection methods were utilized, including direct observations, interviews, and focus groups. The transcription and content analysis of recordings were guided by the three-step error recovery model.

resultsMost of the e-prescription errors were detected during the entering of information into the pharmacy system. These errors were detected by both pharmacists and technicians using a variety of strategies which included: (1) performing double checks of e-prescription information; (2) printing the e-prescription to paper and confirming the information on the computer screen with information from the paper printout; and (3) using colored pens to highlight important information. Strategies used for explaining errors included: (1) careful review of patient's medication history; (2) pharmacist consultation with patients; (3) consultation with another pharmacy team member; and (4) use of online resources. In order to correct e-prescription errors, participants made educated guesses of the prescriber's intent or contacted the prescriber via telephone or fax. When e-prescription errors were encountered in the community pharmacies, the primary goal of participants was to get the order right for patients by verifying the prescriber's intent.

conclusionPharmacists and technicians play an important role in preventing e-prescription errors through the detection of errors and the verification of prescribers' intent. Future studies are needed to examine factors that facilitate or hinder recovery from e-prescription errors.

Indexed as

Electronic PrescribingAdultAgedDrug PrescriptionsHumansMedication ErrorsMiddle AgedPharmaciesPharmacistsPharmacy TechniciansWisconsinYoung AdultCommunity pharmacyElectronic prescribingE-prescribingError recoveryMedication errors

Identifiers

PMID24373898
PMCPMC4045654

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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.