Evidence map›Paper›PMID 26167563›Full record

ArticleCanadian family physician Medecin de famille canadien2015

New conceptual model of EMR implementation in interprofessional academic family medicine clinics.

Gayle Halas, Alexander Singer, Carol Styles, Alan Katz

Abstract read
In one paragraph

Article in Canadian family physician Medecin de famille canadien, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Review
  3. Review
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

4 authors.

Gayle Halas
Alexander Singer
Carol Styles
Alan Katz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo capture users' experiences with a newly implemented electronic medical record (EMR) in family medicine academic teaching clinics and to explore their perceptions of its use in clinical and teaching processes.

designQualitative study using focus group discussions guided by semistructured questions.

settingThree family medicine academic teaching clinics in Winnipeg, Man.

participantsFaculty, residents, and support staff.

methodsFocus group discussions were audiorecorded and transcribed. Data were analyzed by open coding, followed by development of consensus on a final coding strategy. We used this to independently code the data and analyze them to identify salient events and emergent themes. MAIN

findingsWe developed a conceptual model to reflect and summarize key themes that we identified from participant comments regarding EMR implementation and use in an academic setting. These included training and support, system design, information management, work flow, communication, and continuity.

conclusionThis is the first specific analysis of user experience with a newly implemented EMR in urban family medicine teaching clinics in Canada. The experiences of our participants with EMR implementation were similar to those reported in earlier investigations, but highlight organizational influences and integration strategies. Learning how to use and transitioning to EMRs has implications for clinical learners. This points to the need for further research to gain a more in-depth understanding of the effects of EMRs on the learning environment.

Indexed as

Electronic Health RecordsFaculty, MedicalHealth Plan ImplementationInterprofessional RelationsContinuity of Patient CareFamily PracticeFocus GroupsHumansInformation ManagementInservice TrainingManitobaQualitative ResearchSoftware DesignWorkflow

Identifiers

PMID26167563
PMCPMC4430072

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.