Evidence map›Paper›PMID 38228624›Full record

ArticleBDJ open2024

Distress and well-being in dentists: performance of a screening tool for assessment.

Subha Giri, Colin P West, Tait Shanafelt, Daniel Satele, Liselotte N Dyrbye

Open access · goldAbstract read
In one paragraph

Article in BDJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.2field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 5 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

5 authors at 4 institutions in 1 country.

Subha GiriDepartment of Dental Specialties, Mayo Clinic, Rochester, MN, USA. giri.subha@mayo.edu.ORCID http://orcid.org/0000-0003-0697-7413
Colin P WestDepartment of Medicine and Department of Quantitative Health Sciences, Clinic, Rochester, MN, USA.
Tait ShanafeltStanford Medicine, Stanford University, Stanford, CA, USA.
Daniel SateleDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Liselotte N DyrbyeDepartment of Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Mayo Clinic in Florida · USMayo Clinic · USStanford Medicine · USUniversity of Colorado Denver · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDentists' well-being is being challenged today by many factors. However, effective screening tools to assess their distress and well-being are yet to be validated. The present study aims to evaluate the ability of the Well-Being Index (WBI) to identify distress and stratify dentists' well-being and their likelihood for adverse professional consequences. METHOD AND MATERIALS: A convenience sample of dentists completed a web-based 9-item WBI survey along with other instruments that measured quality of life (QOL), fatigue, burnout, and questions about suicidal ideation, recent dental error, and intent to leave their current job.

resultsA total of 597 dentists completed the survey. The overall mean WBI score was 2.3. The mean WBI score was significantly greater in dentists with low QOL than among dentists without low QOL (4.1 vs 1.6, p < 0.001). Dentists with extreme fatigue, burnout, and suicidal ideation had significantly higher mean WBI score than those without distress (all p < 0.001). WBI score stratified the dentists' likelihood of reporting a recent dental error and intent to leave their current job.

conclusionThe WBI may be a useful screening tool to assess well-being among dentists and identify those in distress and at risk for adverse professional consequences.

Identifiers

PMID38228624
PMCPMC10791682
OpenAlexW4390904475

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.