Evidence map›Paper›PMID 39133683›Full record

ArticlePloS one2024

Exploring the return-on-investment for scaling screening and psychosocial treatment for women with common perinatal mental health problems in Malawi: Developing a cost-benefit-calculator tool.

Annette Bauer, Martin Knapp, Jessica Weng, Dalitso Ndaferankhande, Edmund Stubbs, Alain Gregoire, Genesis Chorwe-Sungani, Robert C Stewart

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

8 authors.

Annette BauerCare Policy and Evaluation Centre, Department of Health Policy, London School of Economics and Political Science, London, England, United Kingdom.ORCID 0000-0001-5156-1631
Martin KnappCare Policy and Evaluation Centre, Department of Health Policy, London School of Economics and Political Science, London, England, United Kingdom.
Jessica WengResearch Department of Primary Care and Population Health, University College London Medical School, London, England, United Kingdom.
Dalitso NdaferankhandeDepartment of Mental Health, Kamuzu University of Health Sciences, Blantyre, Malawi.ORCID 0009-0006-0366-3776
Edmund StubbsCare Policy and Evaluation Centre, Department of Health Policy, London School of Economics and Political Science, London, England, United Kingdom.
Alain GregoireGlobal Alliance for Maternal Mental Health, London, United Kingdom.
Genesis Chorwe-SunganiDepartment of Mental Health, Kamuzu University of Health Sciences, Blantyre, Malawi.
Robert C StewartDivision of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study sought to develop a user-friendly decision-making tool to explore country-specific estimates for costs and economic consequences of different options for scaling screening and psychosocial interventions for women with common perinatal mental health problems in Malawi. We developed a simple simulation model using a structure and parameter estimates that were established iteratively with experts, based on published trials, international databases and resources, statistical data, best practice guidance and intervention manuals. The model projects annual costs and returns to investment from 2022 to 2026. The study perspective is societal, including health expenditure and productivity losses. Outcomes in the form of health-related quality of life are measured in Disability Adjusted Life Years, which were converted into monetary values. Economic consequences include those that occur in the year in which the intervention takes place. Results suggest that the net benefit is relatively small at the beginning but increases over time as learning effects lead to a higher number of women being identified and receiving (cost‑)effective treatment. For a scenario in which screening is first provided by health professionals (such as midwives) and a second screening and the intervention are provided by trained and supervised volunteers to equal proportions in group and individual sessions, as well as in clinic versus community setting, total costs in 2022 amount to US$ 0.66 million and health benefits to US$ 0.36 million. Costs increase to US$ 1.03 million and health benefits to US$ 0.93 million in 2026. Net benefits increase from US$ 35,000 in 2022 to US$ 0.52 million in 2026, and return-on-investment ratios from 1.05 to 1.45. Results from sensitivity analysis suggest that positive net benefit results are highly sensitive to an increase in staff salaries. This study demonstrates the feasibility of developing an economic decision-making tool that can be used by local policy makers and influencers to inform investments in maternal mental health.

Indexed as

Cost-Benefit AnalysisAdultFemaleHumansMalawiMass ScreeningMental DisordersMental HealthPregnancyPsychosocial InterventionQuality of Life

Identifiers

PMID39133683
PMCPMC11318890

What OpenQuestion holds

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LicenceCC BY
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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.