Evidence map›Paper›PMID 32324749›Full record

ArticlePloS one2020

'Everything takes too long and nobody is listening': Developing theory to understand the impact of advice on stress and the ability to cope.

Jawwad Mustafa, Philip Hodgson, Monique Lhussier, Natalie Forster, Susan Mary Carr, Sonia Michelle Dalkin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. 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
1.3field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  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

6 authors at 1 institution in 1 country.

Jawwad MustafaFaculty of Health and Life Sciences, Northumbria University, Newcastle, United Kingdom.
Philip HodgsonFaculty of Health and Life Sciences, Northumbria University, Newcastle, United Kingdom.
Monique LhussierFaculty of Health and Life Sciences, Northumbria University, Newcastle, United Kingdom.
Natalie ForsterFaculty of Health and Life Sciences, Northumbria University, Newcastle, United Kingdom.
Susan Mary CarrFaculty of Health and Life Sciences, Northumbria University, Newcastle, United Kingdom.
Sonia Michelle DalkinFaculty of Health and Life Sciences, Northumbria University, Newcastle, United Kingdom.ORCID 0000-0002-3266-5926
Northumbria University · GB

Funding

Department of Health SPHR‐FUS‐PES‐CABMedical Research Council MR/K02325X/1
6 · The paper itself

Abstract

Shrinking state spending in the UK has been accompanied by a profound restructuring of the welfare system, leading to financial insecurity for many people, culminating in extreme stress and serious deterioration of physical and mental health. Theory surrounding the impact of welfare advice on stress is lacking; this paper undertakes an in depth exploration of the experiences of stress among welfare advice seekers, considering these in light of existing substantive theories of stress and coping to generate new insight. A thematic analysis explored the experiences of stress in welfare advice seekers. Four overarching themes and twelve subthemes emerged. They are further understood utilising traditional theories of stress (Transactional Model of Stress and Coping and the Conservation of Resources theory), which then underpin the development of a 'Stress Support Matrix' and a holistic theory related specifically to welfare, stress and coping.

Indexed as

Adaptation, PsychologicalPsychological TheoryHumansModels, PsychologicalSocial WelfareStress, PsychologicalUnited Kingdom

Identifiers

PMID32324749
PMCPMC7179918
OpenAlexW3018657672

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.