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Record W2229217132 · doi:10.1155/2014/451373

When in Doubt, Ask the Audience: Potential Users′ Perceptions of Internet‐Delivered Cognitive Behavioural Therapy for Chronic Pain

2014· article· en· W2229217132 on OpenAlexafffund
Luke H. Schneider, Heather D. Hadjistavropoulos

Bibliographic record

VenuePain Research and Management · 2014
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsUniversity of Regina
FundersCanadian Institutes of Health Research
KeywordsChronic painAnxietyPerceptionCognitionMedicineThe InternetClinical psychologyPsychologyPhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Although research has demonstrated that Internet-delivered cognitive behavioural therapy (ICBT) for chronic pain helps with adjustment to pain, it remains unclear how this treatment option would initially be perceived by individuals with chronic pain. OBJECTIVES: To explore initial perceptions of ICBT and to examine variables that correlate with an expressed interest in ICBT as a treatment option among individuals with chronic pain. METHODS: A total of 129 individuals with chronic pain completed a survey assessing perceptions of ICBT and individual difference variables that could be correlated with expressed interest in ICBT (eg, demographic characteristics, pain, computer self-efficacy). RESULTS: Results showed that most participants perceived ICBT as a potentially valuable service with multiple benefits. Being female, having greater pain severity and interference, and having greater computer self-efficacy and lower computer anxiety were positively correlated with interest in receiving ICBT. CONCLUSIONS: Combined with previous research on treatment efficacy of ICBT for chronic pain, the results should serve to stimulate further research on integrating ICBT within existing health care services.

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)0.006
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 score0.921
Threshold uncertainty score0.402

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
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 science0.0000.000
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 head0.091
GPT teacher head0.432
Teacher spread0.341 · 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

Citations19
Published2014
Admission routes2
Has abstractyes

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