Sangath, Bhopal, India.
Icahn School of Medicine at Mount Sinai, New York, USA.
Psychiatr Q. 2023 Jun;94(2):141-163. doi: 10.1007/s11126-023-10019-w. Epub 2023 Mar 29.
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.
本研究旨在开发和评估一个数字项目,用于培训印度农村社区环境中的社区卫生工作者(CHW)识别和转介精神分裂症患者,该项目具有可接受性。采用迭代设计过程。首先,将现有精神分裂症护理社区项目中的循证内容纳入课程,并由专家审查,以确保改编内容的临床实用性和保真度。其次,CHW 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,以确保与当地情况相关。然后,使用焦点小组讨论来了解数字培训原型的可接受性,并为设计和布局的修改提供信息。使用基于与培训内容和数字平台的可接受性相关的预定主题的快速主题分析方法对定性数据进行分析。初始原型的开发涉及 13 名具有临床专业知识或经验获取和接受精神卫生服务的主题专家对内容进行审查,并与 23 名 CHW 合作,其中 11 名提供了培训内容的背景化反馈,12 名参加了原型可接受性的焦点小组讨论。此外,2 名有精神分裂症生活经历的服务用户为数字培训原型的初步测试做出了贡献,并在焦点小组讨论中提供了反馈。在培训内容的背景化过程中,关键反馈涉及通过去除专业术语和包括互动内容和图像来简化语言和内容呈现,以提高对数字培训的兴趣和参与度。在原型测试过程中,CHW 分享了他们对类似症状的熟悉程度,但不知道精神分裂症是一种可治疗的疾病。他们表示,培训可以帮助他们识别精神分裂症的症状,并将患者与专业护理联系起来。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社区中宣传来应对这些挑战。参与者还欣赏数字培训,因为它可以为他们节省时间,并可以纳入他们的日常工作中。本研究表明,利用数字技术为印度农村社区环境中的 CHW 提供能力建设,以支持精神分裂症的早期发现和转介是可以接受的。这些发现可以为随后评估这个数字培训项目提供信息,以确定其对增强 CHW 知识和技能的影响。