Development of a Digital Program for Training Community Health Workers in the Detection and Referral of Schizophrenia in Rural India.
Development of a Digital Program for Training Community Health Workers in the Detection and Referral of Schizophrenia in Rural India.
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开发一项数字计划，以培训社区卫生工作者在印度农村地区进行精神分裂症的检测和转诊。
DOI：
10.1007/s11126-023-10019-w
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发表时间：
2023-06
影响因子：
3.5
通讯作者：
Naslund, John A
中科院分区：
文献类型：
--
作者：
Tyagi, Vidhi;Khan, Azaz;Siddiqui, Saher;Kakra Abhilashi, Minal;Dhurve, Pooja;Tugnawat, Deepak;Bhan, Anant;Naslund, John A
这项研究旨在开发和评估印度农村地区社区卫生工作者(CHWS)在社区环境中检测和转诊精神分裂症患者方面培训数字计划的可接受性。采用了迭代设计过程。首先，将现有社区精神分裂症护理项目中的循证内容纳入课程，并由专家审查，以确保调整后的内容的临床实用性和保真度。其次，CHWS就语言、内容和数字培训计划的初始原型的适当性提供反馈，以确保与当地背景相关。然后，利用焦点小组讨论，了解数字培训原型的可接受性，并告知对设计和布局的修改。根据与培训内容和数字平台的可接受性有关的预定主题，使用快速专题分析方法对定性数据进行分析。初步原型的开发包括由13名具有获得和接受精神卫生服务的临床专业知识或经验的专题专家审查内容，并让23名社区卫生工作者参与，其中11名为培训内容的背景提供反馈，12名参加了关于原型可接受性的焦点小组讨论。此外，两名有精神分裂症生活经验的服务用户参与了数字培训原型的初步测试，并在焦点小组讨论中提供了反馈。在培训内容的情境化过程中，主要反馈意见涉及简化内容的语言和表述，去掉技术术语，包括互动内容和图像，以提高对数字培训的兴趣和参与。在原型测试中，CHW们分享了他们对类似症状的熟悉程度，但并不知道精神分裂症是一种可以治疗的疾病。他们分享说，培训可以帮助他们识别精神分裂症的症状，并将患者与专门护理联系起来。他们还能够理解对精神分裂症患者的误解和歧视，以及如何通过支持他人和在他们的社区传播意识来应对这些挑战。与会者还对数字化培训表示赞赏，因为它可以节省他们的时间，并可以纳入他们的日常工作。这项研究表明，利用数字技术建设社区卫生工作者的能力，以支持印度农村社区精神分裂症的早期发现和转诊是可以接受的。这些发现可以为随后对这一数字培训计划的评估提供信息，以确定其对提高社区卫生工作者的知识和技能的影响。网上版载有补充材料，可在10.1007/s11126-023-10019-w查阅。
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. The online version contains supplementary material available at 10.1007/s11126-023-10019-w.
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影响因子：
3.7
作者：
Asher L;Birhane R;Teferra S;Milkias B;Worku B;Habtamu A;Kohrt BA;Hanlon C
通讯作者：
Hanlon C
影响因子：
0.9
作者：
Patel, Mehul;Misra, Shobha
通讯作者：
Misra, Shobha
DOI：
10.3390/ijerph192214936
发表时间：
2022-11-13
影响因子：
--
作者：
Naslund, John A.;Tyagi, Vidhi;Khan, Azaz;Siddiqui, Saher;Abhilashi, Minal Kakra;Dhurve, Pooja;Mehta, Urvakhsh Meherwan;Rozatkar, Abhijit;Bhatia, Urvita;Vartak, Anil;Torous, John;Tugnawat, Deepak;Bhan, Anant
通讯作者：
Bhan, Anant
影响因子：
3.9
作者：
Lakhtakia, Tanvi;Bondre, Ameya;Chand, Prabhat Kumar;Chaturvedi, Nirmal;Choudhary, Soumya;Currey, Danielle;Dutt, Siddharth;Khan, Azaz;Kumar, Mohit;Gupta, Snehil;Nagendra, Srilakshmi;Reddy, Preethi, V;Rozatkar, Abhijit;Scheuer, Luke;Sen, Yogendra;Shrivastava, Ritu;Singh, Rahul;Thirthalli, Jagadisha;Tugnawat, Deepak Kumar;Bhan, Anant;Naslund, John A.;Patel, Vikram;Keshavan, Matcheri;Mehta, Urvakhsh Meherwan;Torous, John
通讯作者：
Torous, John
影响因子：
2.8
作者：
Sivakumar T;Thirthalli J;Kumar CN;Basavarajappa C
通讯作者：
Basavarajappa C