Evidence map›Paper›PMID 42789038›Full record

ArticleJournal of religion and health2026

A Typology of Work-Related Psychological Wellbeing Among Clergy: The Francis Burnout Inventory.

Andrew Village, Leslie J Francis

Abstract read
In one paragraph

Article in Journal of religion and health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Andrew VillageSchool of Humanities, York St John University, York, UK.
Leslie J FrancisCentre for Research in Intellectual and Developmental Disabilities (CIDD), University of Warwick, Coventry, UK. leslie.francis@warwick.ac.uk.ORCID http://orcid.org/0000-0003-2946-9980

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The balanced affect model of clergy work-related psychological wellbeing operationalised in the Francis Burnout Inventory (FBI) maintains that professional burnout is predicted by the interaction between negative affect (emotional exhaustion) and positive affect (professional satisfaction). In order to locate negative affect and positive affect alongside one another, a five-fold typology was created using scores from 505 ministers in the Church of Scotland on the two scales of the FBI, the Satisfaction in Ministry Scale (SIMS) and the Scale of Emotional Exhaustion in Ministry (SEEM). The five types were characterised as Creaking (high SEEM and low SIMS scores), Coasting (low SEEM and low SIMS scores), Central (average SEEM and average SIMS scores), Compensating (high SEEM and high SIMS scores), and Cruising (low SEEM and high SIMS scores). The construct validity of this five-fold typology was demonstrated by comparing scores on three measures of the hypothesised consequences of burnout: the Warwick Edinburgh Mental Well-Being Scale, the Purpose in Life Scale, and the frequency of thinking about leaving ministry. On these measures, Creaking types showed the greatest evidence of burnout and Cruising types the least, with other types falling between these two groups. Subsequently, mean and standard deviations scores from the combined data from 8 surveys totalling 4658 clergy were used to indicate cut-off points for this five-fold typology to be employed in future studies.

Indexed as

Burnout, ProfessionalClergyEmotional ExhaustionFemaleHumansJob SatisfactionPsychological Well-BeingScotlandSurveys and QuestionnairesBalanced affectBurnoutClergyTypologyValidityWellbeing

Identifiers

PMID42789038
PMCPMC13649820

What OpenQuestion holds

Textmetadata
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.