Bradbury Katherine, Steele Mary, Corbett Teresa, Geraghty Adam W A, Krusche Adele, Heber Elena, Easton Steph, Cheetham-Blake Tara, Slodkowska-Barabasz Joanna, Müller Andre Matthias, Smith Kirsten, Wilde Laura J, Payne Liz, Singh Karmpaul, Bacon Roger, Burford Tamsin, Summers Kevin, Turner Lesley, Richardson Alison, Watson Eila, Foster Claire, Little Paul, Yardley Lucy
1School of Psychology, University of Southampton, Building 44, Highfield,, Southampton, SO171BJ UK.
2NIHR Southampton Biomedical Research Centre, Southampton Centre for Biomedical Research, MP 218, Southampton General Hospital, Tremona Road, Southampton, SO16 6YD UK.
NPJ Digit Med. 2019 Sep 2;2:85. doi: 10.1038/s41746-019-0163-4. eCollection 2019.
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 ( = 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 ( = 96) with cancer survivors and focus groups with NHS staff and cancer charity workers ( = 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.
本文阐述了一种采用基于证据、理论和个体的方法来开发数字干预措施的严谨方法。干预计划包括一项快速范围审查，该审查确定了癌症幸存者的需求，包括干预成功的障碍和促进因素。审查证据（49篇论文）为干预的指导原则、基于理论的行为分析和逻辑模型提供了依据。通过对癌症幸存者进行访谈（96人）以及与NHS工作人员和癌症慈善工作者进行焦点小组讨论（31人），根据对干预原型的反馈对干预措施进行了优化。对癌症幸存者的访谈突出了参与的障碍，例如担心体育活动会加重疲劳。焦点小组强调了对支持预约时长以及如何支持苦恼参与者的担忧。反馈为干预措施的修改提供了依据，以最大限度地提高可接受性、可行性和行为改变的可能性。我们理解用户观点的系统方法使我们能够预见并解决参与的重要障碍。这种方法学可能对其他开发数字干预措施的人有用。
