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Mindfulness‐based cognitive therapy for severe health anxiety (hypochondriasis): An interpretative phenomenological analysis of patients’ experiences

2011· article· en· W1916460912 on OpenAlexfundno aff
Matthew Williams, Freda McManus, Kate Muse, J. Mark G. Williams

Bibliographic record

VenueBritish Journal of Clinical Psychology · 2011
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
FundersLupina FoundationWellcome Trust
KeywordsPsychologyMindfulnessInterpretative phenomenological analysisPsychotherapistAnxietyCognitionClinical psychologyCognitive therapyMindfulness-based cognitive therapyPsychiatryQualitative research

Abstract

fetched live from OpenAlex

OBJECTIVE. Severe health anxiety (hypochondriasis) is a common and disabling condition for which existing psychological treatments have limited effects (Thomson & Page, 2007). Hence, it is a priority to examine both the efficacy and acceptability of new psychological treatments for health anxiety. The aim of this study was to explore the experiences of participants with severe health anxiety who received Mindfulness-based Cognitive Therapy (MBCT) as part of a randomized controlled trial. DESIGN. Semi-structured interviews were carried out 3 months after participants completed MBCT in order to explore their experiences of the course and subsequent self-managed practice. METHODS. Interpretative Phenomenological Analysis (Smith, 1996) was used to analyze interview transcripts from nine participants who had received MBCT. RESULTS. Two main themes emerged from the analysis: (1) My awareness of barriers to experiencing change through MBCT, and (2) Cultivation of a new approach to health anxiety and my life in general. CONCLUSIONS. The majority of participants considered MBCT to be an acceptable and beneficial treatment for health anxiety. Participants reported beneficial impacts of MBCT both on their health anxiety and on their broader functioning. Importantly, the focusing of attention upon bodily sensations required in MBCT practice did not exacerbate participants' health anxiety.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score0.925

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.150
GPT teacher head0.457
Teacher spread0.307 · 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 designObservational
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

Citations96
Published2011
Admission routes1
Has abstractyes

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