Evidence map›Paper›PMID 28756504›Full record

ReviewJournal of clinical psychology in medical settings2017

The Relational Impact of Multiple Sclerosis: An Integrative Review of the Literature Using a Cognitive Analytic Framework.

Joanna Blundell Jones, Sue Walsh, Claire Isaac

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of clinical psychology in medical settings, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.0field-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

6 citing papers in PubMed, 17 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

3 authors at 2 institutions in 1 country.

Joanna Blundell JonesClinical Psychology Unit, Department of Psychology, University of Sheffield, Sheffield, S10 2TN, UK. j.blundelljones@gmail.com.ORCID http://orcid.org/0000-0001-8033-987X
Sue WalshClinical Psychology Unit, Department of Psychology, University of Sheffield, Sheffield, S10 2TN, UK.
Claire IsaacRussell Cairns Unit, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 9DU, UK.
University of Sheffield · GBOxford University Hospitals NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This integrative literature review uses cognitive analytic therapy (CAT) theory to examine the impact of a chronic illness, multiple sclerosis (MS), on relationships and mental health. Electronic searches were conducted in six medical and social science databases. Thirty-eight articles met inclusion criteria, and also satisfied quality criteria. Articles revealed that MS-related demands change care needs and alter relationships. Using a CAT framework, the MS literature was analysed, and five key patterns of relating to oneself and to others were identified. A diagrammatic formulation is proposed that interconnects these patterns with wellbeing and suggests potential "exits" to improve mental health, for example, assisting families to minimise overprotection. Application of CAT analysis to the literature clarifies relational processes that may affect mental health among individuals with MS, which hopefully will inform how services assist in reducing unhelpful patterns and improve coping. Further investigation of the identified patterns is needed.

Indexed as

Cognitive Behavioral TherapyInterpersonal RelationsActivities of Daily LivingDisability EvaluationGeneral Adaptation SyndromeHumansMultiple SclerosisPsychological TheoryQuality of LifeAdjustmentCognitive analytic therapyMultiple sclerosisRelationshipsWellbeing and mental health

Identifiers

PMID28756504
PMCPMC5705738
OpenAlexW2740440868

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.