Evidence map›Paper›PMID 40591626›Full record

ArticlePLOS global public health2025

Understanding how digital mental health interventions can be optimised to improve longer term sustainability: Findings from a causal mediation analysis of the CONEMO trials.

Nadine Seward, Wen Wei Loh, Jaime Miranda, Franciso Diez-Canseco, Heloisa Garcia Claro, Paulo Rossi Menezes, Ivan Filipe de Almeida Lopes Fernandes, Ricardo Araya

Abstract read
In one paragraph

Article in PLOS global public health, 2025. 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. Identifying the active ingredients of a behavioral activation-based digital single-session intervention targeting depression.Clinical psychological science : a journal of the Association for Psychological Science · 2026
    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.

Nadine SewardCentre for Clinical Brain Sciences, College of Medicine and Veterinary Medicine, Edinburgh University, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-4821-9437
Wen Wei LohDepartment of Data Analysis, Ghent University, Gent, Belgium.
Jaime MirandaCRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.
Franciso Diez-CansecoUniversidad Científica del Sur, Lima, Peru.ORCID https://orcid.org/0000-0002-7611-8190
Heloisa Garcia ClaroState University of Campinas, Campinas, São Paulo, Brazil.
Paulo Rossi MenezesFaculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0001-6330-3314
Ivan Filipe de Almeida Lopes FernandesCentre for Engineering, Modelling and Applied Social Sciences, Federal University of ABC, São Bernardo do Campo, São Paulo, Brazil.
Ricardo ArayaCentre for Global Mental Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two CONEMO trials in Lima, Peru and São Paulo, Brazil evaluated a digital mental health intervention (DMHI) based on behavioural activation (BA), that demonstrated improved symptoms of depression at three, but not six-months. To understand how we can optimize features of the DMHI to improve outcomes for longer-term effectiveness and eventually scale-up, we investigated mediators through which the intervention improved symptoms of depression, separately for the two trials and then using a pooled dataset. Trial data included adults with depression (Patient Health Questionnaire - 9 (PHQ-9) score ≥10) and comorbid hypertension and/or diabetes. Interventional effects, a robust causal inference based approach to mediation, was used to decompose the total effect of DMHI on improved symptoms of depression (PHQ-9 scores improving by at least 50% between baseline and six months (yes/no)) into indirect effects via: understanding session content without difficulty; number of activities completed to improve levels of activation; and levels of BA captured using the Behavioural Activation for Depression Short-Form. Understanding the content of the sessions without difficulty mediated a 10% [0.10: Bias corrected 95% CI: 0.03 to 0.15] improvement in depression symptoms; completing activities mediated a 12% improvement [0.12: 0.01 to 0.23]; BA mediated a 2% [0.02: 0.01, 0.05] improvement. Our findings suggest that DMHI based on BA should consider developing strategies to help participants complete activities they find enjoyable to improve levels of activation and maintain the effects of the intervention in the longer-term. To improve longer term outcomes, DMHI should also ensure that sessions are tailored to the characteristics of the intended population, so it is simple for patients to understand and therefore they are able to complete activities.

Identifiers

PMID40591626
PMCPMC12212485

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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.