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Record W3008692451 · doi:10.1177/1039856220901478

Clinical- and cost-effectiveness of intensive short-term dynamic psychotherapy for chronic pain in a tertiary psychotherapy service

2020· article· en· W3008692451 on OpenAlexafffund
Peter Lilliengren, Angela Cooper, Joel M. Town, Steve Kisely, Allan Abbass

Bibliographic record

VenueAustralasian Psychiatry · 2020
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsDalhousie University
FundersMental Health Foundation of Nova ScotiaDalhousie University
KeywordsSomatizationMedicineNaturalistic observationInterpersonal communicationChronic painPopulationPhysical therapyPsychiatryPsychotherapistClinical psychologyMental healthPsychology

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of this study is to assess the clinical- and cost-effectiveness of intensive short-term dynamic psychotherapy (ISTDP) for patients with chronic pain. METHOD: A sample of 228 pain patients was drawn from a larger naturalistic study of ISTDP. They received an average of 6.1 sessions delivered by 31 therapists. Psychiatric symptoms and interpersonal problems were assessed at three time points. Healthcare data from baseline year and three years following treatment came from independent governmental databases. RESULTS: = 0.76) for somatization. Further, the sample had successive reductions in yearly healthcare costs, reaching the normal population mean two years post-treatment. CONCLUSION: Within the limitations of the uncontrolled design, our study suggests that ISTDP may be both clinically effective and cost-effective for patients with 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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.024
GPT teacher head0.367
Teacher spread0.343 · 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

Citations12
Published2020
Admission routes2
Has abstractyes

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