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Record W2922316553 · doi:10.1521/pdps.2019.47.1.99

Sustained Reduction in Health Care Service Usage after Adjunctive Treatment of Intensive Short-Term Dynamic Psychotherapy in Patients with Bipolar Disorder

2019· article· en· W2922316553 on OpenAlexaff
Allan Abbass, Joel M. Town, Robert Johansson, Melissa Lahti, Steve Kisely

Bibliographic record

VenuePsychodynamic Psychiatry · 2019
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsDalhousie University
Fundersnot available
KeywordsAdjunctive treatmentBipolar disorderPsychiatryInterpersonal communicationMedicinePsychologyMood

Abstract

fetched live from OpenAlex

The aim of this study was to evaluate changes in long-term health care costs and symptom severity after adjunctive intensive short-term dynamic psychotherapy (ISTDP) individually tailored and administered to patients with bipolar disorder undergoing standard psychiatric care. Eleven therapists with different levels of expertise delivered an average of 4.6 one-hour sessions of ISTDP to 29 patients with bipolar disorders. Health care service costs were compiled for a one-year period prior to the start of ISTDP along with four one-year periods after termination. Two validated self-report scales, the Brief Symptom Inventory and the Inventory of Interpersonal Problems, were administered at intake and termination of ISTDP. Hospital cost reductions were significant for the one-year post-treatment period relative to baseline year, and all cost reductions were sustained for the follow-up period of four post-treatment years. Self-reported psychiatric symptoms and interpersonal problems were significantly reduced. These preliminary findings suggest that this brief adjunctive psychotherapy may be beneficial and cost-effective in select patients with bipolar disorders, and that gains may be sustained in long-term followup. Future research directions are discussed.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.004
GPT teacher head0.260
Teacher spread0.256 · 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 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

Citations10
Published2019
Admission routes1
Has abstractyes

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