Evidence map›Paper›PMID 34210721›Full record

SynthesisBMJ open2021

Interdisciplinary systematic review: does alignment between system and design shape adoption and use of barcode medication administration technology?

Rachel Williams, Reham Aldakhil, Ann Blandford, Yogini Jani

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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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

4 authors.

Rachel WilliamsCentre for Medicines Optimisation Research and Education, University College London NHS Foundation Trust, London, UK.ORCID 0000-0002-8497-6945
Reham AldakhilClinical and Research Informatics Unit, UCL Institution of Health informatics, University College London, London, UK.
Ann BlandfordUCL Institute of Healthcare Engineering, University College London, London, UK.ORCID 0000-0002-3198-7122
Yogini JaniCentre for Medicines Optimisation Research and Education, University College London NHS Foundation Trust, London, UK y.jani@ucl.ac.uk.ORCID 0000-0001-5927-5429

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn order to reduce safety risks associated with medication administrations, technologies such as barcode medication administration (BCMA) are increasingly used. Examining how human factors influence adoption and usability of this technology can potentially highlight areas for improvement in design and implementation.

objectiveTo describe how human factors related determinants for BCMA have been researched and reported by healthcare and human-computer interaction disciplines. DATA SOURCES: The Cumulative Index of Nursing, and Allied Health Literature, PubMed, OVID MEDLINE and Google Scholar. STUDY ELIGIBILITY CRITERIA: Primary research published from April 2000 to April 2020, search terms developed to identity different disciplinary research perspectives that examined BCMA use, used a human factors lens and were published in English. SYNTHESIS

methodsComputerised systematic searches were conducted in four databases. Eligible papers were systematically analysed for themes. Themes were discussed with a second reviewer and supervisors to ensure they were representative of content.

resultsOf 3707 papers screened, 11 were included. Studies did not fit neatly into a clinical or human-computer interaction perspective but instead uncovered a range of overlapping narratives, demonstrating consensus on the key themes despite differing research approaches. Prevalent themes were misaligned design and workflow, adaptation and workarounds, mediating factors, safety, users' perceptions and design and usability. Inadequate design frequently led to workarounds, which jeopardised safety. Reported mediating factors included clarity of user needs, pre/post implementation evaluations, analysis of existing workarounds and appropriate technology, infrastructure and staffing. LIMITATIONS: Most studies were relatively small and qualitative, making it difficult to generalise findings.

conclusionEvaluating interdisciplinary perspectives including human factors approaches identified similar and complementary enablers and barriers to successful technology use. Often, mediating factors were developed to compensate for unsuitable design; a collaborative approach between system designer and end users is necessary for BCMA to achieve its true safety potential.

Indexed as

Delivery of Health CareInterdisciplinary StudiesHumansTechnologyWorkflowhealth informaticsqualitative researchquality in health care

Identifiers

PMID34210721
PMCPMC8252881

What OpenQuestion holds

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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.