Evidence map›Paper›PMID 35476123›Full record

ArticleEuropean journal of clinical pharmacology2022

Why hospital-based healthcare professionals do not report adverse drug reactions: a mixed methods study using the Theoretical Domains Framework.

Raymond Li, Kate Curtis, Connie Van, Syed Tabish Razi Zaidi, Chin Yen Yeo, Christina Arun Kali, Mithila Zaheen, Grace Therese Moujalli, Ronald Castelino

Abstract read
In one paragraph

Article in European journal of clinical pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

9 authors.

Raymond LiFaculty of Medicine and Health, University of Sydney, Parramatta Rd, Camperdown NSW 2006, Sydney, Australia. rali3062@uni.sydney.edu.au.ORCID http://orcid.org/0000-0002-8040-4296
Kate CurtisFaculty of Medicine and Health, University of Sydney, Parramatta Rd, Camperdown NSW 2006, Sydney, Australia.ORCID http://orcid.org/0000-0002-3746-0348
Connie VanFaculty of Medicine and Health, University of Sydney, Parramatta Rd, Camperdown NSW 2006, Sydney, Australia.ORCID http://orcid.org/0000-0002-9114-9622
Syed Tabish Razi ZaidiFaculty of Medicine and Health, University of Leeds, Leeds, England.ORCID http://orcid.org/0000-0002-2031-1055
Chin Yen YeoWestern Sydney Local Health District, Blacktown and Mt Druitt Hospital, Mt Druitt, Australia.
Christina Arun KaliWestern Sydney Local Health District, Blacktown and Mt Druitt Hospital, Mt Druitt, Australia.
Mithila ZaheenWestern Sydney Local Health District, Blacktown and Mt Druitt Hospital, Mt Druitt, Australia.
Grace Therese MoujalliWestern Sydney Local Health District, Blacktown and Mt Druitt Hospital, Mt Druitt, Australia.
Ronald CastelinoFaculty of Medicine and Health, University of Sydney, Parramatta Rd, Camperdown NSW 2006, Sydney, Australia.ORCID http://orcid.org/0000-0002-5128-7115

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAdverse drug reaction (ADR) underreporting is highly prevalent across the world. This study aimed to identify factors associated with ADR reporting and map these to a behavioural change framework to help inform future interventions designed to improve ADR underreporting.

methodsA mixed methods survey was distributed to healthcare professionals at a tertiary hospital in Sydney, Australia. Quantitative data was analysed using logistic regression to identify factors that predict ADR reporting. Qualitative data was evaluated using content analysis. These were then integrated and mapped to the 14 domains within the Theoretical Domains Framework (TDF) to identify target areas relevant for improving ADR reporting.

resultsOne hundred thirty-three healthcare professionals completed the survey. Knowing how to report ADRs (OR 4.56, 95%CI 1.95-10.7), having been trained on ADR reporting (OR 2.72, 95%CI 1.29-5.77), and encountering ADRs as part of clinical practice (OR 10.3, 95%CI 3.59-29.4) were significant predictors of reporting an ADR. Content analysis identified three categories: modifying the ADR reporting process, enabling clinicians to report ADRs, and creating a positive ADR reporting culture. After data integration, the three target TDF domains were knowledge, environmental context/resources, and beliefs about consequences.

conclusionFuture interventions designed to improve ADR reporting should address these target domains to instigate behaviour change in healthcare professionals' reporting of ADRs.

Indexed as

Drug-Related Side Effects and Adverse ReactionsPharmacovigilanceAdverse Drug Reaction Reporting SystemsHealth Knowledge, Attitudes, PracticeHealth PersonnelHumansTertiary Care CentersAdverse drug reactionsPharmacovigilanceReportingTheoretical domains framework

Identifiers

PMID35476123
PMCPMC9043508

What OpenQuestion holds

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LicenceCC BY
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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.