Wu Elwin, Lee Yong Gun, Vinogradov Vitaliy, Kali Sultana, Yelkeyev Aidar, Goddard-Eckrich Dawn A, Dasgupta Anindita, Hess Leona
Social Intervention Group, Columbia School of Social Work, New York, NY, USA.
Global Health Research Center of Central Asia, Almaty, Kazakhstan.
Res Soc Work Pract. 2023 Jul;33(5):562-570. doi: 10.1177/10497315221120605. Epub 2022 Aug 22.
Rigorous adaptation methods are needed to revise existing evidence-based behavioral interventions for implementation for new target populations, revised/updated outcomes, new delivery modalities, recent advances, and new technologies. We describe an adaptation method designed to overcome the real-world challenges of having very limited existing expertise, resources, and time.
This adaptation method and accompanying visualization tool ("Deconstruction/Reconstruction Matrix") preserves theoretical mechanisms of behavior change, accounts for challenges in utilizing new technologies, and strengthens clinical processes, with an emphasis on safety.
The adaptation of an in-person HIV behavioral intervention for sexual and gender diverse men in Kazakhstan to one delivered remotely via telecommunication and social media technologies exemplifies the process and strengths of the method, concomitantly resulting in recommendations for adaptation and implementation of mobile health (mHealth) and digital health interventions.
This method allows researchers and clinicians to adapt interventions rapidly and rigorously and to benefit from new technologies.
需要采用严格的改编方法来修订现有的循证行为干预措施，以便针对新的目标人群、修订/更新的结果、新的交付方式、最新进展和新技术进行实施。我们描述了一种改编方法，旨在克服现有专业知识、资源和时间非常有限这一现实世界中的挑战。
这种改编方法及配套的可视化工具（“解构/重构矩阵”）保留了行为改变的理论机制，考虑了利用新技术时面临的挑战，并强化了临床流程，重点在于安全性。
将哈萨克斯坦针对性取向和性别多样化男性的面对面艾滋病毒行为干预措施改编为通过电信和社交媒体技术远程提供的干预措施，例证了该方法的过程和优势，同时还得出了关于移动健康（mHealth）和数字健康干预措施改编与实施的建议。
这种方法使研究人员和临床医生能够快速且严格地改编干预措施，并从新技术中受益。
