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Intervenções comportamentais para Depressão Pós-Parto: revisão sistemática da literatura

2023· dissertation· pt· W4394742223 on OpenAlexaboutno aff
Lia Callou Gomes

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsnot available
Fundersnot available
KeywordsSciELOPsychological interventionPostpartum depressionMedicinePsychologyPregnancyDepression (economics)MEDLINEClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

This work consists of a systematic review that analyzes behavioral and cognitivebehavioral interventions carried out with postpartum women diagnosed with Postpartum Depression.The Prisma Statement protocol was followed.A systematic literature search was carried out in the Scielo, Pepsic, Embase, PsychInfo and Pubmed databases for articles published in Portuguese and English between January 2013 and May 2022.42 studies were found that met the established inclusion criteria.These studies were synthesized and the quality of the evidence was assessed using the PeDro, JBI and Newcastle-Ottawa tools.The results point to a predominance of the cognitive-behavioral approach to the detriment of behavior analysis and third wave therapies.Carrying out home and remote services were the most adaptations made for the target audience.No adaptations were found for the risk factors: health issues during pregnancy, teenage pregnancy and marital problems.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.068
metaresearch head score (Gemma)0.217
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.068
Threshold uncertainty score0.361

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0680.217
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0050.006
Bibliometrics0.0220.021
Science and technology studies0.0020.004
Scholarly communication0.0090.007
Open science0.0040.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.054
GPT teacher head0.369
Teacher spread0.315 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
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

Citations0
Published2023
Admission routes1
Has abstractyes

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