Evidence map›Paper›PMID 40200225›Full record

ArticleBMC psychiatry2025

Community-level mental health screening and referral using task-sharing with student volunteers in Kerala, India: a scalable model for low and middle income countries.

Saju Madavanakadu Devassy, Lorane Scaria, Shyba Babu, Rajeev S P, Lijo K J, Amal Tom Jose, Kiran Thampi, Robin E Gearing

Abstract read
In one paragraph

Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Psychosocial Interventions for Alcohol Use Disorder: A Review of Efficacy, Mechanisms, and Clinical Implications.Medical science monitor : international medical journal of experimental and clinical research · 2026
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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.

Saju Madavanakadu DevassyDepartment of Social Work, Rajagiri College of Social Sciences (Autonomous), Rajagiri PO, Cochin, Kerala, 683104, India. saju@rajagiri.edu.
Lorane ScariaDepartment of Social Work, Rajagiri College of Social Sciences (Autonomous), Rajagiri PO, Cochin, Kerala, 683104, India.
Shyba BabuDepartment of Social Work, Rajagiri College of Social Sciences (Autonomous), Rajagiri PO, Cochin, Kerala, 683104, India.
Rajeev S PDepartment of Social Work, Rajagiri College of Social Sciences (Autonomous), Rajagiri PO, Cochin, Kerala, 683104, India.
Lijo K JDepartment of Psychology, Rajagiri College of Social Sciences Autonomous, Rajagiri PO, Cochin, Kerala, 683104, India.
Amal Tom JoseDepartment of Psychology, Rajagiri College of Social Sciences Autonomous, Rajagiri PO, Cochin, Kerala, 683104, India.
Kiran ThampiDepartment of Social Work, Rajagiri College of Social Sciences (Autonomous), Rajagiri PO, Cochin, Kerala, 683104, India.
Robin E GearingGraduate College of Social Work, Center for Mental Health Research and Innovation in Treatment Engagement and Service (MH-RITES) Research Center, University of Houston, 3511 Cullen Boulevard, 110HA, Houston, TX, 77204, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUntreated mental illness poses a significant threat to achieving global mental health targets. The increasing incidence of common mental disorders in India exacerbates the treatment gap. Structural fragmentation prevents effective screening and treatment, despite several policies and programs. The study presents a culturally tailored mental health campaign developed within a service design paradigm for mental health screening.

methodsThe campaign had three phases: formation of a multidisciplinary service design team, modelling of an intervention, and implementing activities across three levels- macro, meso, and micro- to be implemented by educated youth, utilizing task-sharing strategies. Additionally, the study tested the feasibility of a mental health screening using student volunteers through a cross-sectional door-knock survey that assessed the prevalence of depression, alcohol consumption, and drug abuse among 2,263 community residents from randomly selected geographical locations in Kerala, India. Standardized scales were used to measure the variables.

resultsThe youth-led community screening is promising, as the detected incidence rate was comparable to that of screening performed by experts. Participants (n = 2263) from the cross-sectional survey comprised 52% males and 48% females. The study revealed the prevalence rates of moderate and above depression (9.1%), harmful alcohol use, including alcohol use disorder (6.2%), and drug abuse (8.9%). Lower economic attainment was a vulnerability for mental disorders in both genders, with females demonstrating a higher incidence of depression and males with higher alcohol and drug abuse. Compared to males from Above Poverty Line (APL) households, females from Below Poverty Line (BPL) households had an 80% higher likelihood of depression.

conclusionThe service design team, representing a microcosm of the population, developed culturally appropriate mental health campaigns. The act-reflect-act framework within the Service Design Model integrated need-based services to bring together multiple healthcare stakeholders and ecosystem tiers, facilitated by public private partnership (PPP) to improve coverage and address barriers to accessing public mental health services. The stability of the referral model was ensured through long term initiatives, including establishment of mental health clinics and senior daycare centres.

Indexed as

Community Mental Health ServicesMass ScreeningMental DisordersReferral and ConsultationVolunteersAdolescentAdultCross-Sectional StudiesDeveloping CountriesFemaleHumansIndiaMalePrevalenceStudentsSubstance-Related DisordersAlcohol consumptionCommunity engagementDepressionDrug abuseIndia

Identifiers

PMID40200225
PMCPMC11980065

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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.