Khan Azaz, Shrivastava Ritu, Tugnawat Deepak, Singh Abhishek, Dimidjian Sona, Patel Vikram, Bhan Anant, Naslund John A
Sangath, Bhopal, Madhya Pradesh, India.
Department of Psychology and Neuroscience, University of Colorado, Boulder, CO, USA.
J Technol Behav Sci. 2020 Dec;5(4):402-415. doi: 10.1007/s41347-020-00154-7. Epub 2020 Aug 31.
Digital technologies hold promise for building capacity of non-specialist health workers towards scaling up depression care in low-resource settings. The purpose of this study was to describe the systematic approach to designing a digital program for training non-specialist health workers to deliver an evidence-based brief psychological treatment for depression, called the Healthy Activity Program, in primary care in rural India.
The design and development of the training program involved 5 steps: 1) develop program blueprint; 2) create instructional content; 3) digitize content for a smartphone app; 4) develop a platform for uploading and hosting the digital content; and 5) user-testing and refinements to ensure program functioning. This was followed by field-testing and focus group discussions with non-specialist health workers recruited from primary care facilities in Madhya Pradesh, India, to inform further modifications and improvements to the digital training program.
Training program development occurred over 12-months, and the final digital training consisted of 16 modules with videos, role-plays, and digital content tailored to the local culture and context. Focus group discussions with 19 non-specialist health workers generated three key action items and modifications to the digital training in response to participant feedback: 1) addressing technical challenges by making the digital content available offline; 2) account for low digital literacy by including a comprehensive orientation session about navigating the smartphone app; and 3) addition of remote coaching to support participants in completing the training.
This study illustrates a step-wise approach to combine evidence-based content with iterative feedback from stakeholders to develop a digital training program tailored to the context in a low-resource setting. Further research is needed to validate this approach and to evaluate the effectiveness of the final modified digital training program, while considering whether this approach can be adopted and replicated in other settings.
数字技术有望提升非专科卫生工作者的能力,以便在资源匮乏地区扩大抑郁症护理规模。本研究的目的是描述一种系统方法,用于设计一个数字项目,培训非专科卫生工作者在印度农村初级保健中提供一种基于证据的抑郁症简短心理治疗方法,即健康活动项目。
培训项目的设计与开发包括5个步骤:1)制定项目蓝图;2)创建教学内容;3)将内容数字化以用于智能手机应用程序;4)开发一个用于上传和托管数字内容的平台;5)进行用户测试并完善以确保项目正常运行。随后,对从印度中央邦初级保健机构招募的非专科卫生工作者进行了现场测试和焦点小组讨论,为数字培训项目的进一步修改和改进提供依据。
培训项目的开发历时12个月,最终的数字培训包括16个模块,配有视频、角色扮演以及针对当地文化和背景量身定制的数字内容。与19名非专科卫生工作者进行的焦点小组讨论产生了三个关键行动项目,并根据参与者的反馈对数字培训进行了修改:1)通过提供离线数字内容来解决技术挑战;2)通过纳入关于使用智能手机应用程序的全面入门课程来考虑较低的数字素养问题;3)增加远程辅导以支持参与者完成培训。
本研究展示了一种逐步方法,即将基于证据的内容与利益相关者的迭代反馈相结合,以开发适合资源匮乏环境背景的数字培训项目。需要进一步研究来验证这种方法,并评估最终修改后的数字培训项目的有效性,同时考虑这种方法是否可以在其他环境中采用和复制。