Evidence map›Paper›PMID 37491469›Full record

ArticleNPJ digital medicine2023

The impact of transition to a digital hospital on medication errors (TIME study).

Teyl Engstrom, Elizabeth McCourt, Martin Canning, Katharine Dekker, Panteha Voussoughi, Oliver Bennett, Angela North, Jason D Pole, Peter J Donovan, Clair Sullivan

Abstract read
In one paragraph

Article in NPJ digital medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

10 authors.

Teyl EngstromQueensland Digital Health Centre, Centre for Health Services Research, The University of Queensland, Herston, QLD, Australia.ORCID http://orcid.org/0000-0002-1778-5006
Elizabeth McCourtQueensland Digital Health Centre, Centre for Health Services Research, The University of Queensland, Herston, QLD, Australia.ORCID http://orcid.org/0000-0002-9090-3515
Martin CanningPharmacy Department, The Prince Charles Hospital, Metro North Hospital and Health Service, Brisbane, Australia.ORCID http://orcid.org/0000-0002-6216-8728
Katharine DekkerClinical Pharmacology, Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Brisbane, Australia.
Panteha VoussoughiClinical Pharmacology, Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Brisbane, Australia.
Oliver BennettClinical Pharmacology, Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Brisbane, Australia.
Angela NorthClinical Pharmacology, Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Brisbane, Australia.
Jason D PoleQueensland Digital Health Centre, Centre for Health Services Research, The University of Queensland, Herston, QLD, Australia.ORCID http://orcid.org/0000-0002-0413-5434
Peter J DonovanClinical Pharmacology, Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Brisbane, Australia.
Clair SullivanQueensland Digital Health Centre, Centre for Health Services Research, The University of Queensland, Herston, QLD, Australia. c.sullivan1@uq.edu.au.ORCID http://orcid.org/0000-0003-2475-9989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital transformation in healthcare improves the safety of health systems. Within our health service, a new digital hospital has been established and two wards from a neighbouring paper-based hospital transitioned into the new digital hospital. This created an opportunity to evaluate the impact of complete digital transformation on medication safety. Here we discuss the impact of transition from a paper-based to digital hospital on voluntarily reported medication incidents and prescribing errors. This study utilises an interrupted time-series design and takes place across two wards as they transition from a paper to a digital hospital. Two data sources are used to assess impacts on medication incidents and prescribing errors: (1) voluntarily reported medication incidents and 2) a chart audit of medications prescribed on the study wards. The chart audit collects data on procedural, dosing and therapeutic prescribing errors. There are 588 errors extracted from incident reporting software during the study period. The average monthly number of errors reduces from 12.5 pre- to 7.5 post-transition (p < 0.001). In the chart audit, 5072 medication orders are reviewed pre-transition and 3699 reviewed post-transition. The rates of orders with one or more error reduces significantly after transition (52.8% pre- vs. 15.7% post-, p < 0.001). There are significant reductions in procedural (32.1% pre- vs. 1.3% post-, p < 0.001), and dosing errors (32.3% pre- vs. 14% post-, p < 0.001), but not therapeutic errors (0.6% pre- vs. 0.7% post-, p = 0.478). Transition to a digital hospital is associated with reductions in voluntarily reported medication incidents and prescribing errors.

Identifiers

PMID37491469
PMCPMC10368717

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.