SynthesisGeneral hospital psychiatry
Economic evaluation of screening, treatment, and prevention interventions for perinatal mood and anxiety disorders: a systematic review.
Synthesis in General hospital psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Economic evaluation of screening, treatment, and prevention interventions for perinatal mood and anxiety disorders: a systematic review.General hospital psychiatryPooled it
- Perinatal mental health screening and care among those with pregnancy complications.American journal of obstetrics & gynecology MFM · 2026Review
- COVID-19 and Global Perinatal Health: Lessons Learned on Maternal-Neonatal Outcomes, Infant Feeding Practices, and Health Care Economics across Income Settings.American journal of perinatology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
objectiveThis systematic review synthesized evidence on the cost-effectiveness and economic favorability of interventions for the detection, treatment, and prevention of perinatal mood and anxiety disorders (PMADs).
methodsThis protocol is registered on PROSPERO (CRD42024528777). PubMed, EMBASE, Web of Science, EconLit, Scopus, PsycINFO, and the National Health Service economic evaluation databases were searched from inception through April 2025. Intervention studies reporting quality-adjusted life years, incremental cost-effectiveness ratios, or equivalent cost analyses during pregnancy or up to one year postpartum were included. Risk of bias was assessed using the Consensus on Health Economics Criteria and Bias in Economic Evaluation checklists. Data were synthesized by study design, intervention type, and economic perspective.
findingsThe search identified 3863 records; 1820 deduplicated titles and abstracts, and 75 full texts were assessed for eligibility. Thirty-seven studies were included (n = 218,525 participants). Thirty-two (86.5 %) interventions were cost-effective or economically favorable, including prevention-only (28.1 %), treatment-only (34.3 %), screening-only (18.7 %), and screening plus treatment and/or prevention (18.7 %). Cost-effective evaluations were primarily from the healthcare system (46.8 %) or payer (25 %) perspectives. Twenty-two (68.7 %) cost-effective interventions included time horizons of one year or greater. Five of six (83.3 %) non-cost-effective interventions included time horizons of less than one year. Studies were heterogeneous in design, population, and intervention types.
interpretationFindings support the integration of PMAD interventions into perinatal clinical care. Evidence-based policy and payment models are needed for scaling sustainable uptake. Research priorities include standardization in economic evaluation methods, longer-term modeling, and inclusion of diverse populations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.