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Development of a Digital Program for Training Community Health Workers in the Detection and Referral of Schizophrenia in Rural India
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 e...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10052309/ https://www.ncbi.nlm.nih.gov/pubmed/36988785 http://dx.doi.org/10.1007/s11126-023-10019-w |
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author | Tyagi, Vidhi Khan, Azaz Siddiqui, Saher Kakra Abhilashi, Minal Dhurve, Pooja Tugnawat, Deepak Bhan, Anant Naslund, John A. |
author_facet | Tyagi, Vidhi Khan, Azaz Siddiqui, Saher Kakra Abhilashi, Minal Dhurve, Pooja Tugnawat, Deepak Bhan, Anant Naslund, John A. |
author_sort | Tyagi, Vidhi |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11126-023-10019-w. |
format | Online Article Text |
id | pubmed-10052309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-100523092023-03-29 Development of a Digital Program for Training Community Health Workers in the Detection and Referral of Schizophrenia in Rural India Tyagi, Vidhi Khan, Azaz Siddiqui, Saher Kakra Abhilashi, Minal Dhurve, Pooja Tugnawat, Deepak Bhan, Anant Naslund, John A. Psychiatr Q Original Paper 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11126-023-10019-w. Springer US 2023-03-29 /pmc/articles/PMC10052309/ /pubmed/36988785 http://dx.doi.org/10.1007/s11126-023-10019-w Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Tyagi, Vidhi Khan, Azaz Siddiqui, Saher Kakra Abhilashi, Minal Dhurve, Pooja Tugnawat, Deepak Bhan, Anant Naslund, John A. Development of a Digital Program for Training Community Health Workers in the Detection and Referral of Schizophrenia in Rural India |
title | Development of a Digital Program for Training Community Health Workers in the Detection and Referral of Schizophrenia in Rural India |
title_full | Development of a Digital Program for Training Community Health Workers in the Detection and Referral of Schizophrenia in Rural India |
title_fullStr | Development of a Digital Program for Training Community Health Workers in the Detection and Referral of Schizophrenia in Rural India |
title_full_unstemmed | Development of a Digital Program for Training Community Health Workers in the Detection and Referral of Schizophrenia in Rural India |
title_short | Development of a Digital Program for Training Community Health Workers in the Detection and Referral of Schizophrenia in Rural India |
title_sort | development of a digital program for training community health workers in the detection and referral of schizophrenia in rural india |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10052309/ https://www.ncbi.nlm.nih.gov/pubmed/36988785 http://dx.doi.org/10.1007/s11126-023-10019-w |
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