Evidence map›Paper›PMID 30110020›Full record

Trial reportJournal of patient safety2020

What Can Apologies in the Electronic Health Record Tell Us About Health Care Quality, Processes, and Safety?

John C Matulis, Frederick North

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of patient safety, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

John C MatulisFrom the Division of Community Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Frederick North

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionApologizing to patients is an encouraged practice, yet little is known about how and why providers apologize and what insights apologies could provide in improving quality and safety.

objectiveThe aim of the study was to determine whether provider apologies in the electronic health record could identify patient safety concerns and opportunities for improvement.

methodsAfter performing a free-text search, we randomly selected 100 clinical notes from 1685 available containing terminology related to apology. We categorized the reason for apology, presence and classification of medical error, level of patient harm, and practice improvement opportunities. We compared patient events discovered from apologies in the medical record to standard patient incident report logs.

resultsOf 100 randomly selected apologies, 37 were related to a delay in care, 14 to misunderstanding, 11 to access to care, and 8 to information technology. For apologies related to delay, the median delay was 6 days (mean = 8.9, range = 0-41). Twenty-four (65%) of the 37 delays were related to diagnostic testing.Medical errors were associated with 46 (46%) of the 100 apologies. Sixty-four (64%) of the 100 apologies were associated with actionable opportunities for improvement. These opportunities were classified into 37 discrete issues across 8 broad categories. When apology review was compared with standard incident report logs, 27 (73%) of the 37 discrete issues identified by patient apology review were not found in incident reporting; both methods identified similar rates of patient harm.

conclusionsReview of apologies in the electronic health record can identify patient safety concerns and improvement opportunities not apparent through standard incident reporting.

Indexed as

AdolescentAdultElectronic Health RecordsFemaleHumansMaleMedical ErrorsMiddle AgedQuality of Health CareYoung Adult

Identifiers

PMID30110020
PMCPMC7447129

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.