Evidence map›Paper›PMID 22753809›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Retail pharmacy staff perceptions of design strengths and weaknesses of electronic prescribing.

Olufunmilola Odukoya, Michelle A Chui

Abstract readComparative Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. Pooled it
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  9. Evaluating the implementation of RxNorm in ambulatory electronic prescriptions.Journal of the American Medical Informatics Association : JAMIA · 2016
    Article
  10. Analysis of National Drug Code Identifiers in Ambulatory E-Prescribing.Journal of managed care & specialty pharmacy · 2015
    Article
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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

2 authors.

Olufunmilola OdukoyaSocial & Administrative Sciences, School of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA. odukoya@wisc.edu
Michelle A Chui

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
NCATS NIH HHS 9U54TR000021NCATS NIH HHS UL1 TR000427NCRR NIH HHS 1UL1RR025011NCRR NIH HHS UL1 RR025011
6 · The paper itself

Abstract

objectiveThis paper explored pharmacy staff perceptions of the strengths and weaknesses of electronic prescribing (e-prescribing) design in retail pharmacies using the sociotechnical systems framework. This study examined how adoption of e-prescribing technology is affecting clinical practice and patient care. MATERIALS AND

methodsDirect observations and think aloud protocols were used to collect data from seven retail pharmacies.

resultsPharmacists and pharmacy technicians reported strengths of e-prescribing design that facilitated pharmacy work which included: legibility, ease of archiving, quick access to prescriptions and consistency in the format of electronic prescriptions (e-prescriptions). Design weaknesses and potential hazards to patient care associated with e-prescribing systems were due to differences between pharmacy and prescriber computer systems which resulted in the selection of wrong patient or drug (name, directions, dose, strength, formulation, package sizes). There were unique strengths and weaknesses in the design of e-prescriptions peculiar to the three pharmacy computer systems examined in this study. DISCUSSION: Findings from this study can help inform policy on creating e-prescribing design standards for pharmacy. e-Prescribing system developers can use the results of this study to identify and apply the most usable features of the three main pharmacy computer systems to design systems that support dispensing efficiency and safety.

conclusionsThis is the first study to highlight design flaws with e-prescribing in retail pharmacies. The sociotechnical systems framework was useful in providing an indepth understanding of the pharmacist and pharmacy technician's interface with e-prescribing technology. This information can be used by policy makers to create e-prescribing standards for pharmacies.

Indexed as

Attitude of Health PersonnelClinical Pharmacy Information SystemsElectronic PrescribingPharmacistsPharmacy TechniciansHumansInformation Storage and RetrievalNarrationPharmaciesQualitative ResearchSoftware DesignUser-Computer InterfaceWisconsin

Identifiers

PMID22753809
PMCPMC3534455

What OpenQuestion holds

Textmetadata
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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.