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Record W2595269767 · doi:10.1080/10503307.2017.1300353

The role of emotion in psychotherapeutic change for medically unexplained symptoms

2017· article· en· W2595269767 on OpenAlexaff
Joel M. Town, Victoria Lomax, Allan Abbass, Gillian E. Hardy

Bibliographic record

VenuePsychotherapy Research · 2017
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsDalhousie University
FundersNational Institute for Health and Care Research
KeywordsPsychotherapistPsychologyPsychoanalysisClinical psychology

Abstract

fetched live from OpenAlex

OBJECTIVES: Evidence of the contribution of emotional processes to the emergence, maintenance, and experience of medically unexplained symptoms (MUS) suggests that clinical approaches which target these processes could be beneficial. In this study, qualitative methods were used to examine patients' perspectives and subjective experiences of emotional processes in the context of a psychotherapy assessment and treatment service for MUS provided in a hospital emergency department (ED). METHODS: Seven semi-structured interviews were conducted with ED patients presenting with MUS who received a course of intensive short-term dynamic psychotherapy treatment. RESULTS: Interpretative phenomenological analysis was employed with three superordinate themes emerging: Barriers to examining emotional processes; reflections on the therapeutic process; psychological change; and improved well-being. Obstacles to clinical engagement in treatment for MUS were described in relation to patients' and therapists' ability to identify, address, and utilize emotion processes. Specific elements of this work were identified as integral components of the psychotherapy change process for MUS. CONCLUSIONS: Directly observing the physical effects of emotional experiencing in MUS provides sensory evidence that can enable patients to make mind-body connections. Psycho-emotional processes warrant further study to explore the applicability to other conceptual models for assessing and treating MUS. Clinical and methodological significance: In this article, we highlight that Medically Unexplained Symptoms (MUS) are a priority area for both physical and mental health care services. We present findings relevant to the effectiveness of a novel psychotherapy innovation within a hospital emergency department (ED). The use of interpretative phenomenological analysis to study the experiences of ED clients with MUS offers an established qualitative method for exploring the processes underlying therapeutic change. The results provide new insights around obstacles to engagement alongside potential solutions when addressing the psychological needs of clients with MUS. Although emotion processes have been described as a potentially important change process for MUS and in psychotherapy more generally, little empirical research has studied these two areas collectively.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.871
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.113
GPT teacher head0.453
Teacher spread0.340 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations28
Published2017
Admission routes1
Has abstractyes

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