Evidence map›Paper›PMID 36988785›Full record

ArticleThe Psychiatric quarterly2023

Development of a Digital Program for Training Community Health Workers in the Detection and Referral of Schizophrenia in Rural India.

Vidhi Tyagi, Azaz Khan, Saher Siddiqui, Minal Kakra Abhilashi, Pooja Dhurve, Deepak Tugnawat, Anant Bhan, John A Naslund

Registry-linked trialAbstract read
In one paragraph

Article in The Psychiatric quarterly, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06043778 (Digital Implementation Support to Achieve Uptake and Integration of Task-Shared Care for Schizophrenia in Primary Care in India), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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.

NCT06043778 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Digital Implementation Support to Achieve Uptake and Integration of Task-Shared Care for Schizophrenia in Primary Care in India

TypeinterventionalSponsorHarvard Medical School (HMS and HSDM)Ran2026 to 2029Enrolled240ConditionsSchizophrenia, Schizophrenia and Related Disorders, Psychosocial FunctioningArmsCommunity care for People with Schizophrenia in India (COPSI), mindLAMP Mobile Application
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. A mixed methods evaluation of the impact of ECHOHuman resources for health · 2024
    Article
  8. Article
  9. Article
  10. 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.

Vidhi TyagiSangath, Bhopal, India.
Azaz KhanSangath, Bhopal, India.
Saher SiddiquiIcahn School of Medicine at Mount Sinai, New York, USA.
Minal Kakra AbhilashiSangath, New Delhi, India.
Pooja DhurveSangath, Bhopal, India.
Deepak TugnawatSangath, Bhopal, India.
Anant BhanSangath, Bhopal, India.
John A NaslundDepartment of Global Health and Social Medicine, Harvard Medical School, 641 Huntington Avenue, Boston, MA, USA. john_naslund@hms.harvard.edu.ORCID 0000-0001-6777-0104

Funding

ESSENCE (Enabling translation of Science to Service to ENhance Depression CarE) Scale-UpU19MH113211 · NIMH · HARVARD MEDICAL SCHOOL · PI PATEL, VIKRAM H · 2017 to 2023
$3.7M
NIMH NIH HHS 1U19MH113211NIMH NIH HHS U19 MH113211
6 · The paper itself

Abstract

This study aimed to develop and assess the acceptability of a digital program for training community health workers (CHWs) in the detection and referral of patients with schizophrenia in community settings in rural India. An iterative design process was employed. First, evidence-based content from existing community programs for schizophrenia care was incorporated into the curriculum, and reviewed by experts to ensure clinical utility and fidelity of the adapted content. Second, CHWs provided feedback on the appropriateness of language, content, and an initial prototype of the digital training program to ensure relevance for the local context. Focus group discussions were then used to understand the acceptability of the digital training prototype and to inform modifications to the design and layout. Qualitative data was analysed using a rapid thematic analysis approach based on predetermined topics pertaining to acceptability of the training content and digital platform. Development of the initial prototype involved content review by 13 subject matter experts with clinical expertise or experience accessing and receiving mental health services, and engagement of 23 CHWs, of which 11 provided feedback for contextualization of the training content and 12 participated in focus group discussions on the acceptability of the prototype. Additionally, 2 service-users with lived experience of schizophrenia contributed to initial testing of the digital training prototype and offered feedback in a focus group discussion. During contextualization of the training content, key feedback pertained to simplifying the language and presentation of the content by removing technical terms and including interactive content and images to enhance interest and engagement with the digital training. During prototype testing, CHWs shared their familiarity with similar symptoms but were unaware of schizophrenia as a treatable illness. They shared that training can help them identify symptoms of schizophrenia and connect patients with specialized care. They were also able to understand misconceptions and discrimination towards people with schizophrenia, and how to address these challenges by supporting others and spreading awareness in their communities. Participants also appreciated the digital training, as it could save them time and could be incorporated within their routine work. This study shows the acceptability of leveraging digital technology for building capacity of CHWs to support early detection and referral of schizophrenia in community settings in rural India. These findings can inform the subsequent evaluation of this digital training program to determine its impact on enhancing the knowledge and skills of CHWs.

Indexed as

Community Health WorkersSchizophreniaFocus GroupsHumansIndiaReferral and ConsultationCommunity health workersDigital technologyGlobal mental healthSchizophreniaSevere mental disordersTask-sharing

Identifiers

PMID36988785
PMCPMC10052309

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.