Evidence map›Paper›PMID 39402467›Full record

ReviewBMC public health2024

How, why and when are delayed (back-up) antibiotic prescriptions used in primary care? A realist review integrating concepts of uncertainty in healthcare.

Monsey Mcleod, Anne Campbell, Benedict Hayhoe, Aleksandra J Borek, Sarah Tonkin-Crine, Michael V Moore, Christopher C Butler, A Sarah Walker, Alison Holmes, Geoff Wong and 1 more

Abstract readReview
In one paragraph

Review in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Yonder: Prescribing and deprivation, delayed antibiotic prescriptions, pre-hospital antibiotics in sepsis, and differential attainment.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
    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

11 authors.

Monsey Mcleod *National Institute for Health Research (NIHR) Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, UK.ORCID 0000-0001-5571-2417
Anne Campbell *National Institute for Health Research (NIHR) Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, UK.ORCID 0000-0002-8893-4320
Benedict HayhoeDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.ORCID 0000-0002-2645-6191
Aleksandra J BorekNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0001-6029-5291
Sarah Tonkin-CrineNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0003-4470-1151
Michael V MoorePrimary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0002-5127-4509
Christopher C ButlerNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0002-0102-3453
A Sarah WalkerNIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK.ORCID 0000-0002-0412-8509
Alison HolmesNational Institute for Health Research (NIHR) Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, UK.ORCID 0000-0001-5554-5743
Geoff WongNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK. geoffrey.wong@phc.ox.ac.uk.ORCID 0000-0002-5384-4157
STEP-UP study team

Funding

Economic and Social Research Council, UK ES/P008232/1
6 · The paper itself

Abstract

backgroundAntimicrobial resistance is a global patient safety priority and inappropriate antimicrobial use is a key contributing factor. Evidence have shown that delayed (back-up) antibiotic prescriptions (DP) are an effective and safe strategy for reducing unnecessary antibiotic consumption but its use is controversial.

methodsWe conducted a realist review to ask why, how, and in what contexts general practitioners (GPs) use DP. We searched five electronic databases for relevant articles and included DP-related data from interviews with healthcare professionals in a related study. Data were analysed using a realist theory-driven approach - theorising which context(s) influenced (mechanisms) resultant outcome(s) (context-mechanism-outcome-configurations: CMOCs).

resultsData were included from 76 articles and 41 interviews to develop a program theory comprising nine key and 56 related CMOCs. These explain the reasons for GPs' tolerance of risk to different uncertainties and how these may interact with GPs' work environment, self-efficacy and perceived patient concordance to make using DP as a safety-net or social tool more or less likely, at a given time-point. For example, when a GP uses clinical scores or diagnostic tests: a clearly high or low score/test result may mitigate scientific uncertainty and lead to an immediate or no antibiotic decision; an intermediary result may provoke hermeneutic (interpretation-related) uncertainty and lead to DP becoming preferred and used as a safety net. Our program theory explains how DP can be used to mitigate some uncertainties but also provoke or exacerbate others.

conclusionThis review explains how, why and in what contexts GPs are more or less likely to use DP, as well as various uncertainties GPs face which DP may mitigate or provoke. We recommend that efforts to plan and implement interventions to optimise antibiotic prescribing in primary care consider these uncertainties and the contexts when DP may be (dis)preferred over other interventions to reduce antibiotic prescribing. We also recommend the following and have included example activities for: (i) reducing demand for immediate antibiotics; (ii) framing DP as an 'active' prescribing option; (iii) documenting the decision-making process around DP; and (iv) facilitating social and system support.

Indexed as

Anti-Bacterial AgentsPractice Patterns, Physicians'Primary Health CareDrug PrescriptionsGeneral PractitionersHumansInappropriate PrescribingUncertaintyAnti-Bacterial AgentsAntibioticsAntimicrobial stewardshipBack-up prescriptionsDeferred prescriptionsDelayed prescriptionsGeneral practice antimicrobial resistancePrimary careRealist reviewTolerance of riskUncertainty

Identifiers

PMID39402467
PMCPMC11476980

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.