Evidence map›Paper›PMID 42393641›Full record

ArticleBMC public health2026

Effectiveness of WHO mhGAP-IG in identification and management of depression by primary level non-specialist health workers - protocol of a cluster randomized controlled trial from India.

Archana Siddaiah, Harshal Sathe, Uttara Chari, Madhu Mitha Manivannan, Roshan Rathod, Ashwini Kudlekar, Abhishek Urkude, Bharat Kalidindi, Dhinagaran Devadass, Rajini Parthasarathy and 9 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

19 authors.

Archana Siddaiah *Isaac Centre for Public Health, Indian Institute of Science, Bengaluru, India.
Harshal Sathe *Department of Psychiatry, Mahatma Gandhi Institute of Medical Sciences, Warud, India. harshals@mgims.ac.in.
Uttara ChariDepartment of Psychiatry, St. John's Medical College and Hospital, St. John's National Academy of Health Sciences, Bengaluru, India.
Madhu Mitha ManivannanSt. John's Research Institute, St. John's National Academy of Health Sciences, Bengaluru, India.
Roshan RathodDepartment of Psychiatry, Mahatma Gandhi Institute of Medical Sciences, Warud, India.
Ashwini KudlekarSt. John's Research Institute, St. John's National Academy of Health Sciences, Bengaluru, India.
Abhishek UrkudeDepartment of Psychiatry, Mahatma Gandhi Institute of Medical Sciences, Warud, India.
Bharat KalidindiSt. John's Research Institute, St. John's National Academy of Health Sciences, Bengaluru, India.
Dhinagaran DevadassSt. John's Research Institute, St. John's National Academy of Health Sciences, Bengaluru, India.
Rajini ParthasarathyDepartment of Health and Family Welfare, Government of Karnataka, Bengaluru, India.
Rameshwar ParadkarDepartment of Health and Family Welfare, Government of Maharashtra, Mumbai, India.
Sally JohnDepartment of Psychiatry, Mahatma Gandhi Institute of Medical Sciences, Warud, India.
Abhishek RautDepartment of Psychiatry, Mahatma Gandhi Institute of Medical Sciences, Warud, India.
John Michael RajDepartment of Biostatistics, St. John's Medical College, St. John's National Academy of Health Sciences, Bengaluru, India.
Triptish BhatiaDepartment of Psychiatry, Atal Bihari Vajpayee Institute of Medical Sciences and Dr. Ram Manohar Lohia Hospital, New Delhi, India.
R P BeniwalDepartment of Psychiatry, Atal Bihari Vajpayee Institute of Medical Sciences and Dr. Ram Manohar Lohia Hospital, New Delhi, India.
Samir Kumar PraharajDepartment of Psychiatry, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Johnson Pradeep RubenDepartment of Psychiatry, St. John's Medical College and Hospital, St. John's National Academy of Health Sciences, Bengaluru, India.
Smita DeshpandeDepartment of Psychiatry, St. John's Medical College and Hospital, St. John's National Academy of Health Sciences, Bengaluru, India.

Funding

Indian Council of Medical Research GRANTATHON2/MH/-1/2023-NCD-II
6 · The paper itself

Abstract

backgroundReports suggest that > 90% of the cases go undetected in low- and middle-income countries (LMICs) leading to a huge treatment gap. Evidence shows that task-sharing interventions such as training HWs, screening led to improved detection of depression at the primary level. In this regard, the World Health Organization (WHO) developed the mhGAP-IG to aid non-specialist HWs to detect and manage common mental health disorders such as depression to bridge the gap. The present study aims to design and test the effectiveness of a digital mental health intervention designed by contextualizing e-mhGAP in improving the detection and management of depression at the primary care level.

methodsFormative phase will involve qualitative interviews, literature review aimed at co-developing a mobile application with the district mental health program. This will be followed by a cRCT. The trial will be conducted in eight PHCs, located in Tumkur district, Karnataka, and Wardha district, Maharashtra. Randomisation will be done at the PHC level. We plan to enrol non-specialist HWs working in these PHCs and a sample of 2400 adults who are availing the PHC services. Intervention PHC will receive training for HWs and a mobile application. Control PHCs will follow usual care. Both the groups will be encouraged to identify, manage, and follow-up people with mild depression. Study tools include PHQ-2, PHQ-9, acceptability of intervention measure, and Eq. 5D5L instrument. Change in the detection rates of depression between intervention and control arms will be the primary outcome. Cost effectiveness analysis will be done. DISCUSSION: This trial advocates for integrating mental health services into primary healthcare, which aligns with the Comprehensive Mental Health action plan that seeks to enhance the capacity of non-specialist HWs in mental healthcare delivery. Co-development with the district mental health program, features of app such as offline functionality, multimedia visuals, and follow-up tracking are some of the strengths. If this intervention is found effective, then it could significantly impact the treatment gap for depression by integrating mental health within the ambit of primary care model across India.

trial registrationProspectively registered with the Clinical Trials Registry of India on 23/04/2024 (Reference number- CTRI/2024/04/066142).

Indexed as

DepressionHealth PersonnelMobile ApplicationsPrimary Health CareHumansIndiaRandomized Controlled Trials as TopicTask ShiftingWorld Health OrganizationDepressionDistrict mental health programIndia.Mental healthcareMobile applicationNon specialist health workersPrimary carePrimary health workersPsychological interventionTrial

Identifiers

PMID42393641
PMCPMC13595510

What Socratic holds

Textmetadata
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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 Socratic graph.