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Psychosocial and psychological interventions for preventing postpartum depression

2004· review· en· W2946773484 on OpenAlexaff
Cindy‐Lee Dennis, Debra Creedy

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2004
Typereview
Languageen
Field
Topic
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicinePsychosocialPsychological interventionPostpartum depressionPostpartum periodRelative riskRandomized controlled trialAnxietyChildbirthMeta-analysisPsychiatryPregnancyConfidence interval

Abstract

fetched live from OpenAlex

BACKGROUND: The cause of postpartum depression remains unclear, with extensive research suggesting a multi-factorial aetiology. However, epidemiological studies and meta-analyses of predictive studies have consistently demonstrated the importance of psychosocial and psychological variables. While interventions based on these variables may be effective treatment strategies, theoretically they may also be used in pregnancy and the early postpartum period to prevent postpartum depression. OBJECTIVES: Primary: to assess the effect of diverse psychosocial and psychological interventions compared with usual antepartum, intrapartum, or postpartum care to reduce the risk of developing postpartum depression. Secondary: to examine (1) the effectiveness of specific types of psychosocial and psychological interventions, (2) the effectiveness of individual versus group-based interventions, (3) the effects of intervention onset and duration, and (4) whether interventions are more effective in women selected with specific risk factors. SEARCH STRATEGY: We searched the Cochrane Pregnancy and Childbirth Group trials register (January 27 2004), the Cochrane Depression, Anxiety and Neurosis Group trials register (October 2003), the Cochrane Central Register of Controlled Trials (October 2003), MEDLINE (1966 to 2004), EMBASE (1980 to 2004) and CINAHL (1982 to 2004). We scanned secondary references and contacted experts in the field. SELECTION CRITERIA: All published and unpublished randomised controlled trials of acceptable quality comparing a psychosocial or psychological intervention with usual antenatal, intrapartum, or postpartum care. DATA COLLECTION AND ANALYSIS: Both reviewers participated in the evaluation of methodological quality and data extraction. Additional information was sought from several trial researchers. Results are presented using relative risk for categorical data and weighted mean difference for continuous data. MAIN RESULTS: Fifteen trials, involving over 7600 women, were included. Overall, women who received a psychosocial intervention were equally likely to develop postpartum depression as those receiving standard care (relative risk (RR) 0.81, 95% confidence interval (CI) 0.65 to 1.02). One promising intervention appears to be the provision of intensive postpartum support provided by public health nurses or midwives (RR 0.68, 95% CI 0.55 to 0.84). Identifying mothers 'at-risk' assisted the prevention of postpartum depression (RR 0.67, 95% CI 0.51 to 0.89). Interventions with only a postnatal component appeared to be more beneficial (RR 0.76, 95% CI 0.58 to 0.98) than interventions that also incorporated an antenatal component. While individually-based interventions may be more effective (RR 0.76, 95% CI 0.59 to 1.00) than those that are group-based, women who received multiple-contact intervention were just as likely to experience postpartum depression as those who received a single-contact intervention. REVIEWERS' CONCLUSIONS: Overall psychosocial interventions do not reduce the numbers of women who develop postpartum depression. However, a promising intervention is the provision of intensive, professionally-based postpartum support.

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)0.008
metaresearch head score (Gemma)0.030
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 score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.030
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0050.004
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.300
GPT teacher head0.494
Teacher spread0.194 · 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".

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Citations577
Published2004
Admission routes1
Has abstractyes

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