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Record W2908029056 · doi:10.1037/fsh0000391

Couples’ treatment preferences for insomnia experienced during pregnancy.

2018· article· en· W2908029056 on OpenAlexaboutno aff
Ivan D. Sedov, Joshua W. Madsen, Sherryl H. Goodman, Lianne Tomfohr‐Madsen

Bibliographic record

VenueFamilies Systems & Health · 2018
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
Fundersnot available
KeywordsInsomniaPsycINFOPharmacotherapyConcordancePregnancyPsychiatryCognitive behavioral therapyMedicineClinical psychologyPsychologyMEDLINECognitionInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Insomnia during pregnancy is prevalent, yet little is known about preferred treatments for the disorder. The current study investigated both pregnant women's and their partners' preferences for treatment of maternal insomnia, comparing the two most empirically supported therapies: cognitive-behavioral therapy for insomnia (CBT-I) and pharmacotherapy. METHOD: = 212) from a low-risk maternity clinic in Calgary, AB, Canada. Participants read expert validated treatment descriptions of pharmacotherapy and CBT-I and indicated their preference for treatment of maternal insomnia. Participants also completed the Insomnia Severity Index and Edinburgh Postnatal Depression Scale. RESULTS: The majority of pregnant women (72.6%) and their partners (73.6%) selected CBT-I as their preferred choice for treatment of maternal insomnia, with a high concordance between partners. Correlates of maternal treatment choice included previous use of treatment and partner preference. DISCUSSION: Findings suggest that pregnant women and their partners prefer CBT-I to pharmacotherapy as a treatment for maternal insomnia. Partners' preference may be an important consideration for women selecting treatment for insomnia. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score0.782

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.043
GPT teacher head0.342
Teacher spread0.299 · 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 designQualitative
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

Citations20
Published2018
Admission routes1
Has abstractyes

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