Evidence map›Paper›PMID 38151041›Full record

ArticleApplied clinical informatics2023

Characterization of Safety Events Involving Technology in Primary and Community Care.

Chantelle Recsky, Megan Stowe, Kathy L Rush, Maura MacPhee, Lorraine Blackburn, Allison Muniak, Leanne M Currie

Abstract read
In one paragraph

Article in Applied clinical informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Chantelle RecskySchool of Nursing, University of British Columbia, Vancouver, Canada.
Megan StoweRegional Digital Solutions, Digital Health, Provincial Health Services Authority, Vancouver, Canada.
Kathy L RushSchool of Nursing, University of British Columbia Okanagan, Kelowna, Canada.
Maura MacPheeSchool of Nursing, University of British Columbia, Vancouver, Canada.
Lorraine BlackburnSenior Executive Team, Vancouver Coastal Health, Vancouver, Canada.
Allison MuniakHuman Factors and Administrative Burdens, Health Quality BC, Vancouver, Canada.
Leanne M CurrieSchool of Nursing, University of British Columbia, Vancouver, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe adoption of technology in health care settings is often touted as an opportunity to improve patient safety. While some adverse events can be reduced by health information technologies, technology has also been implicated in or attributed to safety events. To date, most studies on this topic have focused on acute care settings.

objectivesTo describe voluntarily reported safety events that involved health information technology in community and primary care settings in a large Canadian health care organization.

methodsTwo years of safety events involving health information technology (2016-2018) were extracted from an online voluntary safety event reporting system. Events from primary and community care settings were categorized according to clinical setting, type of event, and level of harm. The Sittig and Singh sociotechnical system model was then used to identify the most prominent sociotechnical dimensions of each event.

resultsOf 104 reported events, most (

conclusionMost reported events featured both technical and social dimensions, suggesting that the nature of these events is multifaceted. Leveraging existing safety event reporting systems to screen for safety events involving health information technology, and applying a sociotechnical analytic framework can aid health organizations in identifying, responding to, and learning from reported events.

Indexed as

CommunicationPatient SafetyCanadaHumansTechnology

Identifiers

PMID38151041
PMCPMC10752655

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.