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Pain catastrophizing: a dimensional concept analysis

2008· review· en· W2077446881 on OpenAlexafffund
Géraldine Martorella, José Côté, Manon Choinière

Bibliographic record

VenueJournal of Advanced Nursing · 2008
Typereview
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsMontreal Heart InstituteUniversité de MontréalMcGill University
FundersCanadian Institutes of Health Research
KeywordsPain catastrophizingPsycINFOHypervigilancePsychologyPhenomenonPsychological interventionCoping (psychology)ComprehensionMEDLINEChronic painClinical psychologyPsychotherapistMedicineCognitionPsychiatryEpistemology

Abstract

fetched live from OpenAlex

AIM: This paper is a report of a concept analysis of pain catastrophizing. BACKGROUND: The importance of pain catastrophizing in the experience of pain and development of chronic pain has been demonstrated. It has been described as a tendency to have a fixation about pain and to feel unable to deal with pain. DATA SOURCES: Fifty-one papers containing the keyword 'pain catastrophizing' were selected from the Medline, Embase and Psycinfo indexes between 1996 and 2008. Dimensional analysis methodology was used to make explicit the ways in which the concept is constructed and used. The themes of this approach seem to contribute to the understanding of both nurse and client perspectives. RESULTS: The literature on 'pain catastrophizing' seems to reach a level of middle-range explanatory theory. The focus is on specifying relationships between pain catastrophizing and two or more concepts, and on validating the theoretical hypotheses of 'communal coping' as opposed to 'hypervigilance'. The predominance of correlational and cross-sectional studies testifies to this. The concept's definition includes the curative and preventive approaches. However, only the professional perspective seems to be reflected in the concept's terminology. CONCLUSION: Nursing theories and qualitative research seem to be avenues for the comprehension of the phenomenon and the broadening of perspectives. They may bring not only a new but also a unique perspective. Nevertheless, the current state of knowledge on pain catastrophizing is important to nurses as they could influence greatly the timing of interventions and prevention of chronic pain.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.356
Teacher spread0.326 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations27
Published2008
Admission routes2
Has abstractyes

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