Evidence map›Paper›PMID 31577774›Full record

ArticleMedicine2019

Hand-off bundle implementation associated with decreased medical errors and preventable adverse events on an academic family medicine in-patient unit: A pre-post study.

Zachary Ewan Dewar, Theresa Yurkonis, Maximos Attia

Abstract read
In one paragraph

Article in Medicine, 2019. 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. Article
  3. 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

3 authors.

Zachary Ewan Dewar
Theresa Yurkonis
Maximos Attia

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To determine the impact of the implementation of a hand-off bundle on medical errors at an inpatient unit of an academic community teaching hospital. Our secondary objective was to determine the research utility of the use of an all-electronic data collection system for medical errors.A retrospective review was conducted of 1290 admissions 6 months before and after implementation of an improved computerized hand-off tool and training bundle. The study took place at an academic community teaching hospital on a Family Medicine inpatient service caring for patients of all ages. The comparison focused on preventable and non-preventable adverse events.A significant decrease in medical errors was noted. Medical error rate dropped from 6.0 (95% CI, 4.2-8.3) to 2.2 (95% CI, 1.2-3.7) per 100 admissions (P < .001). Preventable medical errors dropped from 0.65 (95% CI, 0.18-1.67) to 0.15 (95% CI, 0.03-0.82) per 100 admissions (P = .194). Non-intercepted potential adverse events dropped from 1.30 (95% CI, 0.56-2.57) to 0.44 (95% CI, 0.09-1.30) per 100 admissions (P = .131). Intercepted potential adverse events dropped from 0.98 (95% CI 0.36-2.13) to 0.74 (95% CI 0.24-1.7) per 100 admissions (P = .766) and errors with little potential for harm dropped from 2.77 (95% CI 1.61-4.43) to 0.74 (95% CI 0.24-1.7) per 100 admissions (P = .009).Implementation of a standardized hand-off bundle was associated with a reduction in medical errors despite a low overall event rate. Further studies are warranted to determine the generalizability of this finding, to examine the overall epidemiology of medical errors and the reporting of such events within general medical teaching units.

Indexed as

Family PracticeInternship and ResidencyPatient Care BundlesAcademic Medical CentersFemaleHospitalizationHumansMaleMedical ErrorsMiddle AgedPatient HandoffQuality ImprovementRetrospective Studies

Identifiers

PMID31577774
PMCPMC6783144

What OpenQuestion holds

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Registered trials

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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.