ArticleBMC health services research2022
Technology-assisted peer therapy: a new way of delivering evidence-based psychological interventions.
Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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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.
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Who cites it
20 citing papers in PubMed, 24 citations in OpenAlex.
- Cognitive Behavioral Therapy for Individuals With Low Literacy and Perinatal Depression: A Randomized Clinical Trial.JAMA network open · 2026Trial
- Technology-assisted cognitive-behavioral therapy for perinatal depression delivered by lived-experience peers: a cluster-randomized noninferiority trial.Nature medicine · 2025Trial
- Identification, Prevention, and Treatment of Perinatal Depression in Low- and Middle-Income Countries: A Narrative Review.Biological psychiatry · 2026Review
- Feasibility and acceptability of technology-assisted problem management plus (TA-PM+) in community settings in Pakistan: a pre-post mixed-methods study.Scientific reports · 2026Article
- Modified sini powder for the management of postoperative depression in non-small cell lung cancer patients: a multicenter, randomized, double-blind, placebo-controlled trial protocol.Frontiers in pharmacology · 2026Article
- Strategies for spreading, scaling and sustaining perinatal mental health interventions in low- and middle-income countries (LMICs): A scoping review and thematic synthesis.Global mental health (Cambridge, England) · 2026Review
- Comparing standard and technology-assisted peer-delivered CBT for perinatal depression: A causal mediation study.Global mental health (Cambridge, England) · 2026Article
- Technology-assisted platform (TAP) for training and supervision of task-shared psychosocial interventions to ensure competency during scale-up in low-resource settings.Global mental health (Cambridge, England) · 2026Article
- Use of Indigenous-Based Methodologies to Enhance the Understanding of Local Context in Ugandan Communities: Protocol for a Mixed Methods Study.JMIR research protocols · 2025Article
- Digital Health Interventions for Depression and Anxiety in Low- and Middle-Income Countries: Rapid Scoping Review.JMIR mental health · 2025Article
- Home-based digital counselling by frontline community workers for anxiety and depression symptoms in rural Sindh, Pakistan: the mPareshan intervention.BMC public health · 2025Article
- Navigating perinatal mental health integration in maternal and child health services: progress and priorities for research and practices in Pakistan.BJPsych international · 2025Review
- Pathway analysis of nursing interns' professional benefit perception and influencing factors: a cross-sectional study.Frontiers in medicine · 2025Article
- Optimizing psychotherapies for perinatal depressive symptom dimensions by strengthening social support networks: an exploratory mediation analysis approach.Global mental health (Cambridge, England) · 2024Article
- Article
- Innovative Nursing Care for Patients with Psychological Disorders: A Comprehensive Review on Iranian Versus Global Nursing Interventions.Galen medical journal · 2024Review
- Peer counseling for perinatal depression in low- and middle-income countries: A scoping review.Global mental health (Cambridge, England) · 2024Article
- Article
- Artificial intelligence technologies and compassion in healthcare: A systematic scoping review.Frontiers in psychology · 2022Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
In low-income settings, ninety percent of individuals with clinical depression have no access to evidence-based psychological interventions. Reasons include lack of funds for specialist services, scarcity of trained mental health professionals, and the stigma attached to mental illness. In recent years there have been many studies demonstrating effective delivery of psychological interventions through a variety of non-specialists. While these interventions are cost-effective and less stigmatising, efforts to scale-up are hampered by issues of quality-control, and what has been described by implementation scientists as 'voltage-drop' and 'programme-drift.' Using principles of Human Centred Design in a rural setting in Pakistan, we worked with potential users to co-design a Tablet or Smartphone-based App that can assist a lay-person deliver the Thinking Healthy Programme, a World Health Organization-endorsed evidence-based intervention for perinatal depression. The active ingredients of this cognitive-therapy based intervention are delivered by a virtual 'avatar' therapist incorporated into the App which is operated by a 'peer' (a woman from the neighbourhood with no prior experience of healthcare delivery). Using automated cues from the App, the peer reinforces key therapeutic messages, helps with problem-solving and provides the non-specific but essential therapeutic elements of empathy and support. The peer and App therefore act as co-therapists in delivery of the intervention. The peer can deliver the intervention with good fidelity after brief automated in-built training. This approach has the potential to be applied to other areas of mental health and help bridge the treatment gap, especially in resource-poor settings. This paper describes the process of co-development with end-users and key features of the App.
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What OpenQuestion holds
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.