End-user support for primary care electronic medical records: a qualitative case study of users' needs, expectations and realities.

Aviv Shachak, Catherine Montgomery, Rustam Dow, Jan Barnsley, Karen Tu, Alejandro R Jadad, Louise Lemieux-Charles

Abstract read

In one paragraph

Article in Health systems (Basingstoke, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it

0cells of the map it votes in

3citing 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

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

Predictors of Health Care Practitioners' Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology.Journal of medical Internet research · 2024
Pooled it
The International Classification of Functioning, Disability and Health (ICF) in Electronic Health Records. A Systematic Literature Review.Applied clinical informatics · 2017
Pooled it
An Evaluation of System End-User Support during Implementation of an Electronic Health Record Using the Model for Improvement Framework.Applied clinical informatics · 2019
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.

Aviv ShachakInstitute of Health Policy, Management and Evaluation, University of Toronto. Faculty of Information, University of Toronto.

Catherine MontgomeryInstitute of Health Policy, Management and Evaluation, University of Toronto.

Rustam DowFaculty of Information, University of Toronto.

Jan BarnsleyInstitute of Health Policy, Management and Evaluation, University of Toronto.

Karen TuInstitute for Clinical Evaluative Sciences. Department of Family and Community Medicine, University of Toronto. Toronto Western Hospital Family Health Team.

Alejandro R JadadCentre for Global eHealth Innovation, University Health Network. Centre for Health, Wellness and Cancer Survivorship, University Health Network. Institute of Health Policy, Management and Evaluation, University of Toronto. Department of Anesthesia, University of Toronto. Dalla Lana School of Public Health, University of Toronto.

Louise Lemieux-CharlesInstitute of Health Policy, Management and Evaluation, University of Toronto.

Funding

CIHR 93649-1PHS HHS 93649-1

6 · The paper itself

Abstract

Support is considered an important factor for realizing the benefits of health information technology (HIT) but there is a dearth of research on the topic of support, especially in primary care. We conducted a qualitative multiple case study of 4 family health teams (FHTs) and one family health organization (FHO) in Ontario, Canada in an attempt to gain insight into users' expectations and needs, and the realities of end-user support for primary care electronic medical records (EMRs). Data were collected by semi-structured interviews, documents review, and observation of training sessions. The analysis highlights the important role of on-site information technology (IT) staff and super-users in liaising with various stakeholders to solve technical problems and providing hardware and functional ('how to') support; the local development of data support practices to ensure consistent documentation; and the gaps that exist in users' and support personnel's understanding of each other's work processes.

Indexed as

Electronic medical recordEnd-user supportFamily health teamsQualitative research

Identifiers

PMID26225209

DOI10.1057/hs.2013.6

PMCPMC4516412

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.