Evidence map›Paper›PMID 41232220›Full record

SynthesisGeneral hospital psychiatry

Economic evaluation of screening, treatment, and prevention interventions for perinatal mood and anxiety disorders: a systematic review.

Sabrina Alam, Brian Christman, Emma McNeill, Man Tang, Rong Rong, Qing Li, William Hillegass, Janice Hall, Laura Wright, Chisa Lanier and 3 more

Abstract readSystematic Review
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Sabrina AlamDepartment of Population Health Science, John D. Bower School of Population Health, University of Mississippi Medical Center, 2500 N. State Street, Jackson, MS 39216, United States.
Brian ChristmanDepartment of Preventive Medicine, John D. Bower School of Population Health, University of Mississippi Medical Center, 2500 N. State Street, Jackson, MS 39216, United States.
Emma McNeillDepartment of Data Science, John D. Bower School of Population Health, University of Mississippi Medical Center, 2500 N. State Street, Jackson, MS 39216, United States; Department of Emergency Medicine, School of Medicine, University of Mississippi Medical Center, 2500 N. State Street, Jackson, MS 39216, United States.
Man TangDepartment of Health Policy and Management, Celia Scott Weatherhead School of Tropical Medicine and Public Health, Tulane University, 1440 Canal St, New Orleans, LA 70112, United States.
Rong RongDepartment of Health Policy and Management, Celia Scott Weatherhead School of Tropical Medicine and Public Health, Tulane University, 1440 Canal St, New Orleans, LA 70112, United States.
Qing LiIndependent Researcher, Denver, CO, United States.
William HillegassDepartment of Data Science, John D. Bower School of Population Health, University of Mississippi Medical Center, 2500 N. State Street, Jackson, MS 39216, United States.
Janice HallMaternal Beats, LLC, Pontotoc, MS 38863, United States.
Laura WrightTulane University Libraries, 1440 Canal St, New Orleans, LA 70112, United States.
Chisa LanierDepartment of Preventive Medicine, John D. Bower School of Population Health, University of Mississippi Medical Center, 2500 N. State Street, Jackson, MS 39216, United States.
Xu XiongDepartment of Epidemiology, Celia Scott Weatherhead School of Tropical Medicine and Public Health, Tulane University, 1440 Canal St, New Orleans, LA 70112, United States.
Lizheng ShiDepartment of Health Policy and Management, Celia Scott Weatherhead School of Tropical Medicine and Public Health, Tulane University, 1440 Canal St, New Orleans, LA 70112, United States; Murphy Institute for Political Economy, Tulane University, 1440 Canal St, New Orleans, LA 70112, United States.
Abigail GambleDepartment of Preventive Medicine, John D. Bower School of Population Health, University of Mississippi Medical Center, 2500 N. State Street, Jackson, MS 39216, United States; Myrlie Evers-Williams Institute for the Elimination of Health Disparities, University of Mississippi Medical Center, 2441 Bailey Avenue, Jackson, MS 39213, United States. Electronic address: agamble2@umc.edu.

Funding

Investigator Development CoreP50MD017338 · NIMHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MEHTA, TAPAN S · 2021 to 2025
$27.7M
Southern Center for Maternal Health -Training ComponentU54HD113159 · NICHD · TULANE UNIVERSITY OF LOUISIANA · PI Susan Perez · 2023 to 2026
$15.1M
Hypertension and Cardiorenal Research Training ProgramT32HL105324 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI Joey P. Granger · 2010 to 2026
$7.8M
NHLBI NIH HHS T32 HL105324NICHD NIH HHS U54 HD113159NIMHD NIH HHS P50 MD017338
6 · The paper itself

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.

Indexed as

Anxiety DisordersCost-Benefit AnalysisMood DisordersPerinatal CarePregnancy ComplicationsFemaleHumansPregnancyHealthcare economics and organizationsMental healthPostpartum depressionPostpartum periodPregnancySystematic review

Identifiers

PMID41232220
PMCPMC12717785

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.