Evidence map›Paper›PMID 39059001›Full record

ArticleJMIR formative research2024

Complex Hospital-Based Electronic Prescribing-Based Intervention to Support Antimicrobial Stewardship: Qualitative Study.

Kathrin Cresswell, Susan Hinder, Aziz Sheikh, Neil Watson, David Price, Andrew Heed, Sarah Katie Pontefract, Jamie Coleman, Jillian Beggs, Antony Chuter and 2 more

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Kathrin CresswellUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0001-6634-9537
Susan HinderUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0001-8451-2027
Aziz SheikhUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0001-7022-3056
Neil WatsonNewcastle upon Tyne Hospitals National Health Service Foundation Trust, Newcastle, United Kingdom.ORCID https://orcid.org/0000-0002-5024-8456
David PriceNewcastle upon Tyne Hospitals National Health Service Foundation Trust, Newcastle, United Kingdom.ORCID https://orcid.org/0000-0002-0562-7326
Andrew HeedNewcastle upon Tyne Hospitals National Health Service Foundation Trust, Newcastle, United Kingdom.ORCID https://orcid.org/0000-0003-2074-8465
Sarah Katie PontefractInstitute of Clinical Sciences, University of Birmingham, Birmingham, United Kingdom.ORCID https://orcid.org/0000-0002-0344-4075
Jamie ColemanInstitute of Clinical Sciences, University of Birmingham, Birmingham, United Kingdom.ORCID https://orcid.org/0000-0002-7512-5153
Jillian BeggsUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-7591-3256
Antony ChuterUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-0646-5939
Ann SleeUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-9731-7041
Robin WilliamsInstitute for the Study of Science, Technology and Innovation, The University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-9044-4611

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) represents a growing concern for public health.

objectiveWe sought to explore the challenges associated with development and implementation of a complex intervention designed to improve AMS in hospitals.

methodsWe conducted a qualitative evaluation of a complex AMS intervention with educational, behavioral, and technological components in 5 wards of an English hospital. At 2 weeks and 7 weeks after initiating the intervention, we interviewed 25 users of the intervention, including senior and junior prescribers, a senior nurse, a pharmacist, and a microbiologist. Topics discussed included perceived impacts of different elements of the intervention and facilitators and barriers to effective use. Interviews were supplemented by 2 observations of ward rounds to gain insights into AMS practices. Data were audio-recorded, transcribed, and inductively and deductively analyzed thematically using NVivo12.

resultsTracing the adoption and impact of the various components of the intervention was difficult, as it had been introduced into a setting with competing pressures. These particularly affected behavioral and educational components (eg, training, awareness-building activities), which were often delivered ad hoc. We found that the participatory intervention design had addressed typical use cases but had not catered for edge cases that only became visible when the intervention was delivered in real-world settings (eg, variations in prescribing workflows across different specialties and conditions).

conclusionsEffective user-focused design of complex interventions to promote AMS can support acceptance and use. However, not all requirements and potential barriers to use can be fully anticipated or tested in advance of full implementation in real-world settings.

Indexed as

AMRAMSantimicrobialantimicrobial resistanceantimicrobialsantimicrobial stewardshipbehavioralcomplex interventioncomplex interventionsdevelopmenteducationalelectronic prescribingePAMS+e-prescribingevaluationhealthcarehospitalhospital-basedhospitalsimplementationin-depthinterviewinterviewsmicrobiologistmicrobiologistsnursenursesobservationobservationspharmacistpharmacistsprescriberprescribersprescribingprescriptionpublic healthqualitative studytechnologicalthematic analysis

Identifiers

PMID39059001
PMCPMC11316148

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.