Evidence map›Paper›PMID 25539495›Full record

ArticleJournal of the American Pharmacists Association : JAPhA

Barriers and facilitators to recovering from e-prescribing errors in community pharmacies.

Olufunmilola K Odukoya, Jamie A Stone, Michelle A Chui

Abstract read
In one paragraph

Article in Journal of the American Pharmacists Association : JAPhA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Implementation outcomes of the Structured and Codified SIG format in electronic prescription directions.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  11. Article
  12. Human factors and ergonomics methods for pharmacy research and clinical practice.Research in social & administrative pharmacy : RSAP · 2021
    Review
  13. Article
  14. Categorizing and understanding medication errors in hospital pharmacy in relation to human factors.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2020
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. 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

3 authors.

Olufunmilola K Odukoya
Jamie A Stone
Michelle A Chui

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
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 TR000005NCATS NIH HHS UL1 TR000427
6 · The paper itself

Abstract

objectiveTo explore barriers and facilitators to recovery from e-prescribing errors in community pharmacies and to explore practical solutions for work system redesign to ensure successful recovery from errors.

designCross-sectional qualitative design using direct observations, interviews, and focus groups.

settingFive community pharmacies in Wisconsin.

participants13 pharmacists and 14 pharmacy technicians.

interventionsObservational field notes and transcribed interviews and focus groups were subjected to thematic analysis guided by the Systems Engineering Initiative for Patient Safety (SEIPS) work system and patient safety model.

main outcome measuresBarriers and facilitators to recovering from e-prescription errors in community pharmacies.

resultsOrganizational factors, such as communication, training, teamwork, and staffing levels, play an important role in recovering from e-prescription errors. Other factors that could positively or negatively affect recovery of e-prescription errors include level of experience, knowledge of the pharmacy personnel, availability or usability of tools and technology, interruptions and time pressure when performing tasks, and noise in the physical environment.

conclusionThe SEIPS model sheds light on key factors that may influence recovery from e-prescribing errors in pharmacies, including the environment, teamwork, communication, technology, tasks, and other organizational variables. To be successful in recovering from e-prescribing errors, pharmacies must provide the appropriate working conditions that support recovery from errors.

Indexed as

Electronic PrescribingMedication ErrorsPatient SafetyAttitude of Health PersonnelClinical CompetenceCommunicationCommunity Pharmacy ServicesCross-Sectional StudiesDelivery of Health CareDrug PrescriptionsFocus GroupsHealth Knowledge, Attitudes, PracticeHumansInterviews as TopicPatient Care TeamPharmacists

Identifiers

PMID25539495
PMCPMC4312611

What OpenQuestion holds

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Registered trials

None linked

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.