Evidence map›Paper›PMID 25882033›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2015

Challenges to the implementation of a nationwide electronic prescribing network in primary care: a qualitative study of users' perceptions.

Aude Motulsky, Claude Sicotte, Marie-Pierre Gagnon, Julie Payne-Gagnon, Julie-Alexandra Langué-Dubé, Christian M Rochefort, Robyn Tamblyn

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. E-prescribing and medication safety in community settings: A rapid scoping review.Exploratory research in clinical and social pharmacy · 2023
    Article
  5. Review
  6. Interruptions in community pharmacies: Frequency, sources, and mitigation strategies.Research in social & administrative pharmacy : RSAP · 2019
    Article
  7. Twenty-five years of national health IT: exploring strategy, structure, and systems in the English NHS.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
  8. Usage and accuracy of medication data from nationwide health information exchange in Quebec, Canada.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  9. 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

7 authors.

Aude MotulskyClinical and Health Informatics Research Group, Faculty of Medicine, McGill University, Montreal, Canada aude.motulsky@mcgill.ca.
Claude SicotteDepartment of Health Management, Université de Montréal, Montreal, Canada.
Marie-Pierre GagnonFaculty of Nursing Sciences, Université Laval, Quebec City, Canada Public Health and Practice-Changing Research, CHU de Québec Research Centre, Quebec City, Canada.
Julie Payne-GagnonPublic Health and Practice-Changing Research, CHU de Québec Research Centre, Quebec City, Canada.
Julie-Alexandra Langué-DubéDepartment of Health Management, Université de Montréal, Montreal, Canada.
Christian M RochefortClinical and Health Informatics Research Group, Faculty of Medicine, McGill University, Montreal, Canada Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.
Robyn TamblynClinical and Health Informatics Research Group, Faculty of Medicine, McGill University, Montreal, Canada Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe objective of this study was to identify physicians' and pharmacists' perceptions of the challenges and benefits to implementing a nationwide electronic prescribing network linking medical clinics and community pharmacies in Quebec, Canada.

methodsForty-nine people (12 general practitioners, 2 managers, 33 community pharmacists, and 2 pharmacy staff members) from 40 points of care (10 primary care clinics (42% of all the connected sites) and 30 community pharmacies (44%)) were interviewed in 2013. Verbatim transcripts were analyzed using thematic analysis.

resultsA low level of network use was observed. Most pharmacists processed e-prescriptions by manual entry instead of importing electronically. They reported concerns about potential errors generated by importing e-prescriptions, mainly due to the instruction field. Paper prescriptions were still perceived as the best means for safe and effective processing of prescriptions in pharmacies. Speed issues when validating e-prescription messages were seen as an irritant by physicians, and resulted in several of them abandoning transmission. Displaying the medications based on the dispensing data was identified as the main obstacle to meaningful use of medication histories.

conclusionsNumerous challenges impeded realization of the benefits of this network. Standards for e-prescription messages, as well as rules for message validation, need to be improved to increase the potential benefits of e-prescriptions. Standard drug terminology including the concept of clinical medication should be developed, and the implementation of rules in local applications to allow for the classification and reconciliation of medication lists from dispensing data should be made a priority.

Indexed as

Attitude of Health PersonnelElectronic PrescribingCanadaCommunity Pharmacy ServicesHumansPharmacistsPhysiciansPrimary Health Carecommunity pharmacistelectronic prescriptiongeneral practitionermedication data exchange networkmedication historiesprimary care

Identifiers

PMID25882033
PMCPMC11737647

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.