Evidence map›Paper›PMID 29190384›Full record

ArticleThe Journal of antimicrobial chemotherapy2018

General practitioner and nurse prescriber experiences of prescribing antibiotics for respiratory tract infections in UK primary care out-of-hours services (the UNITE study).

S J Williams, A V Halls, S Tonkin-Crine, M V Moore, S E Latter, P Little, C Eyles, K Postle, G M Leydon

Abstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 3 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

47 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  9. Point-of-care C-reactive protein testing in general practice out-of-hours services: tool or trap?The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
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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.

S J WilliamsUniversity of Southampton, Faculty of Medicine, Academic Unit of Primary Care and Population Sciences, Aldermoor Health Centre, Aldermoor Close, Southampton SO16 5ST, UK.
A V HallsUniversity of Southampton, Faculty of Medicine, Academic Unit of Primary Care and Population Sciences, Aldermoor Health Centre, Aldermoor Close, Southampton SO16 5ST, UK.
S Tonkin-CrineUniversity of Oxford, Nuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, UK.
M V MooreUniversity of Southampton, Faculty of Medicine, Academic Unit of Primary Care and Population Sciences, Aldermoor Health Centre, Aldermoor Close, Southampton SO16 5ST, UK.
S E LatterUniversity of Southampton, Faculty of Health Sciences, Building 67, Highfield, Southampton SO17 1BJ, UK.
P LittleUniversity of Southampton, Faculty of Medicine, Academic Unit of Primary Care and Population Sciences, Aldermoor Health Centre, Aldermoor Close, Southampton SO16 5ST, UK.
C EylesUniversity of Southampton, Faculty of Medicine, Academic Unit of Primary Care and Population Sciences, Aldermoor Health Centre, Aldermoor Close, Southampton SO16 5ST, UK.
K PostleUniversity of Southampton, Faculty of Medicine, Academic Unit of Primary Care and Population Sciences, Aldermoor Health Centre, Aldermoor Close, Southampton SO16 5ST, UK.
G M LeydonUniversity of Southampton, Faculty of Medicine, Academic Unit of Primary Care and Population Sciences, Aldermoor Health Centre, Aldermoor Close, Southampton SO16 5ST, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Interventions are needed to reduce unnecessary antibiotic prescribing for respiratory tract infections (RTIs). Although community antibiotic prescribing appears to be decreasing in the UK, figures for out-of-hours (OOH) prescribing have substantially increased. Understanding the factors influencing prescribing in OOH and any perceived differences between general practitioner (GP) and nurse prescriber (NP) prescribing habits may enable the development of tailored interventions promoting optimal prescribing in this setting. Objectives: To explore UK GP and NP views on and experiences of prescribing antibiotics for RTIs in primary care OOH services. Methods: Thirty semi-structured interviews were conducted with GPs and NPs working in primary care OOH services. Inductive thematic analysis was used to analyse data. Results: The research shows that factors particular to OOH influence antibiotic prescribing, including a lack of patient follow-up, access to patient GP records, consultation time, working contracts and implementation of feedback, audit and supervision. NPs reported perceptions of greater accountability for their prescribing compared with GPs and reported they had longer consultations during which they were able to discuss decisions with patients. Participants agreed that more complex cases should be seen by GPs and highlighted the importance of consistency of decision making, illness explanations to patients as well as a perception that differences in clinical training influence communication with patients and antibiotic prescribing decisions. Conclusions: Environmental and social factors in OOH services and a mixed healthcare workforce provide unique influences on antibiotic prescribing for RTIs, which would need to be considered in tailoring interventions that promote prudent antibiotic prescribing in OOH services.

Indexed as

AdultAfter-Hours CareAgedAnti-Bacterial AgentsAttitude of Health PersonnelDrug PrescriptionsFemaleGeneral PracticeGeneral PractitionersHumansMaleMiddle AgedNurse PractitionersPractice Patterns, Nurses'Practice Patterns, Physicians'Primary Health CareAnti-Bacterial Agents

Identifiers

PMID29190384
PMCPMC5890663

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.