Evidence map›Paper›PMID 38702774›Full record

ArticleBMC health services research2024

Developing a typology of interventions to support doctors' mental health and wellbeing.

Alison Pearson, Daniele Carrieri, Anna Melvin, Charlotte Bramwell, Jessica Scott, Jason Hancock, Chrysanthi Papoutsi, Mark Pearson, Geoff Wong, Karen Mattick

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Alison PearsonDepartment of Health & Community Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK. a.pearson5@exeter.ac.uk.
Daniele CarrieriDepartment of Public Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Anna MelvinDepartment of Health & Community Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Charlotte BramwellDepartment of Health & Community Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Jessica ScottDepartment of Health & Community Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Jason HancockDevon Partnership NHS Trust, Exeter, UK.
Chrysanthi PapoutsiNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Mark PearsonInstitute of Clinical & Applied Health Research, Hull York Medical School, University of Hull, Hull, UK.
Geoff WongNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Karen MattickDepartment of Health & Community Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.

Funding

NIHR NIHR132931
6 · The paper itself

Abstract

backgroundThe problem of mental ill-health in doctors is complex, accentuated by the COVID-19 pandemic, and impacts on healthcare provision and broader organisational performance. There are many interventions to address the problem but currently no systematic way to categorise them, which makes it hard to describe and compare interventions. As a result, implementation tends to be unfocussed and fall short of the standards developed for implementing complex healthcare interventions. This study aims to develop: 1) a conceptual typology of workplace mental health and wellbeing interventions and 2) a mapping tool to apply the typology within research and practice.

methodsTypology development was based on iterative cycles of analysis of published and in-practice interventions, incorporation of relevant theories and frameworks, and team and stakeholder group discussions.

resultsThe newly developed typology and mapping tool enable interventions to be conceptualised and/or mapped into different categories, for example whether they are designed to be largely preventative (by either improving the workplace or increasing personal resources) or to resolve problems after they have arisen. Interventions may be mapped across more than one category to reflect the nuance and complexity in many mental health and wellbeing interventions. Mapping of interventions indicated that most publications have not clarified their underlying assumptions about what causes outcomes or the theoretical basis for the intervention.

conclusionThe conceptual typology and mapping tool aims to raise the quality of future research and promote clear thinking about the nature and purpose of interventions, In doing so it aims to support future research and practice in planning interventions to improve the mental health and wellbeing of doctors.

Indexed as

COVID-19Mental HealthPhysiciansHumansPandemicsSARS-CoV-2WorkplaceBurnoutDoctorsInterventionMental healthMental ill-healthPreventionResilienceStressTypologyWellbeing

Identifiers

PMID38702774
PMCPMC11067176

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.