Evidence map›Paper›PMID 34301332›Full record

ArticleArchives of public health = Archives belges de sante publique2021

Understanding the complexities of antibiotic prescribing behaviour in acute hospitals: a systematic review and meta-ethnography.

Gosha Wojcik, Nicola Ring, Corrienne McCulloch, Diane S Willis, Brian Williams, Kalliopi Kydonaki

Open access · goldAbstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 5% of its field
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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Gosha WojcikSchool of Health and Social Care, Edinburgh Napier University, EH11 4BN, Edinburgh, UK. G.Wojcik@napier.ac.uk.ORCID http://orcid.org/0000-0003-3857-2090
Nicola RingSchool of Health and Social Care, Edinburgh Napier University, EH11 4BN, Edinburgh, UK.
Corrienne McCullochEdinburgh Critical Care Research Group, University of Edinburgh, Edinburgh Royal Infirmary, EH16 4SA, Edinburgh, UK.
Diane S WillisSchool of Health and Social Care, Edinburgh Napier University, EH11 4BN, Edinburgh, UK.
Brian WilliamsSchool of Health and Social Care, Edinburgh Napier University, EH11 4BN, Edinburgh, UK.
Kalliopi KydonakiSchool of Health and Social Care, Edinburgh Napier University, EH11 4BN, Edinburgh, UK.
Edinburgh Napier University · GBEdinburgh Royal Infirmary · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial resistance poses a serious global public health threat. Hospital misuse of antibiotics has contributed to this problem and evidence-based interventions are urgently needed to change inappropriate prescribing practices. This paper reports the first theoretical stage of a longer-term project to improve antibiotic prescribing in hospitals through design of an effective behaviour-change intervention.

methodsQualitative synthesis using meta-ethnography of primary studies reporting doctors' views and experiences of antibiotic prescribing in hospitals for example, their barriers to appropriate prescribing. Twenty electronic databases were systematically searched over a 10-year period and potential studies screened against eligibility criteria. Included studies were quality-appraised. Original participant quotes and author interpretations were extracted and coded thematically into NVivo. All study processes were conducted by two reviewers working independently with findings discussed with the wider team and key stakeholders. Studies were related by findings into clusters and translated reciprocally and refutationally to develop a new line-of-argument synthesis and conceptual model. Findings are reported using eMERGe guidance.

resultsFifteen papers (13 studies) conducted between 2007 and 2017 reporting the experiences of 336 doctors of varying seniority working in acute hospitals across seven countries, were synthesised. Study findings related in four ways which collectively represented multiple challenges to appropriate antibiotic medical prescribing in hospitals: loss of ownership of prescribing decisions, tension between individual care and public health concerns, evidence-based practice versus bedside medicine, and diverse priorities between different clinical teams. The resulting new line-of-argument and conceptual model reflected how these challenges operated on both micro- and macro-level, highlighting key areas for improving current prescribing practice, such as creating feedback mechanisms, normalising input from other specialties and reducing variation in responsibility for antibiotic decisions.

conclusionsThis first meta-ethnography of doctors` experiences of antibiotic prescribing in acute hospital settings has enabled development of a novel conceptual model enhancing understanding of appropriate antibiotic prescribing. That is, hospital antibiotic prescribing is a complex, context-dependent and dynamic process, entailing the balancing of many tensions. To change practice, comprehensive efforts are needed to manage failures in communication and information provision, promote distribution of responsibility for antibiotic decisions, and reduce fear of consequences from not prescribing.

trial registrationPROSPERO registration: CRD42017073740 .

Indexed as

Acute hospitalsAntibiotic decision-makingAntimicrobial resistanceDoctorsMeta-ethnographyPrescribing behaviourQualitative synthesis

Identifiers

PMID34301332
PMCPMC8299683
OpenAlexW3129622642

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.