Evidence map›Paper›PMID 38532728›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2024

Nurses' Anxiety Mediates the Relationship between Clinical Tolerance to Uncertainty and Antibiotic Initiation Decisions in Residential Aged-Care Facilities.

Saniya Singh, Chris Degeling, Peta Drury, Amy Montgomery, Peter Caputi, Frank P Deane

Open access · hybridAbstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 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
1.7field-weighted citation impact, top 17% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

6 authors at 1 institution in 1 country.

Saniya SinghSchool of Psychology, University of Wollongong, Wollongong, NSW, Australia.ORCID 0000-0002-0845-9225
Chris DegelingAustralian Centre for Health Engagement, Evidence and Values, School of Health and Society, University of Wollongong, Wollongong NSW, Australia.
Peta DrurySchool of Nursing, University of Wollongong, Wollongong NSW, Australia.
Amy MontgomerySchool of Nursing, University of Wollongong, Wollongong NSW, Australia.
Peter CaputiSchool of Psychology, University of Wollongong, Wollongong, NSW, Australia.
Frank P DeaneSchool of Psychology, University of Wollongong, Wollongong, NSW, Australia.
University of Wollongong · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

highlightsThe impact of non-clinical factors (e.g., resident and family preferences) on prescribing is well-established. There is a gap in the literature regarding the mechanisms through which these preferences are experienced as pressure by prescribers within the unique context of residential aged-care facilities (RACFs).A significant relationship was found between nurses' anxiety, clinical tolerance of uncertainty, and the perceived need for antibiotics and assessment.As such, there is a need to expand stewardship beyond education alone to include interventions that help nurses manage uncertainty and anxiety and include other stakeholders (e.g., family members) when making clinical decisions in the RACF setting.

Indexed as

Anti-Bacterial AgentsAnxietyHomes for the AgedAdultAgedDecision MakingFemaleHumansMaleMiddle AgedNursesNursing HomesUncertaintyAnti-Bacterial Agentsantimicrobial resistanceanxietyclinical decision makingprescribingresidential aged carestewardshiptolerance of uncertaintyuncertainty

Identifiers

PMID38532728
PMCPMC11102643
OpenAlexW4393227662

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.