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Developing a digital intervention for cancer survivors: an evidence-, theory- and person-based approach

机译:开发癌症幸存者的数字干预:证据,理论和基于人的方法

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This paper illustrates a rigorous approach to developing digital interventions using an evidence-, theory- and person-based approach. Intervention planning included a rapid scoping review that identified cancer survivors’ needs, including barriers and facilitators to intervention success. Review evidence (N = 49 papers) informed the intervention’s Guiding Principles, theory-based behavioural analysis and logic model. The intervention was optimised based on feedback on a prototype intervention through interviews (N = 96) with cancer survivors and focus groups with NHS staff and cancer charity workers (N = 31). Interviews with cancer survivors highlighted barriers to engagement, such as concerns about physical activity worsening fatigue. Focus groups highlighted concerns about support appointment length and how to support distressed participants. Feedback informed intervention modifications, to maximise acceptability, feasibility and likelihood of behaviour change. Our systematic method for understanding user views enabled us to anticipate and address important barriers to engagement. This methodology may be useful to others developing digital interventions.
机译:本文说明了使用基于证据,理论和人的方法开发数字干预的严格方法。干预计划包括迅速审查,确定癌症幸存者的需求,包括障碍和促进者进行干预成功。审查证据(n = 49篇论文)了解干预的指导原则,基于理论的行为分析和逻辑模型。通过对癌症幸存者和NHS工作人员和癌症慈善工作者的癌症幸存者和焦点小组进行了对原型干预的反馈来优化了干预的干预。对癌症幸存者的采访强调了接触的障碍,例如对疲劳的身体活动的担忧。焦点小组强调了对支持预约长度以及如何支持陷入困境的参与者的担忧。反馈明智的干预修改,以最大限度地提高行为变化的可接受性,可行性和可能性。我们对理解用户视图的系统方法使我们能够预测并解决参与的重要障碍。这种方法可能对其他人开发数字干预措施有用。

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