Reporting on a Partnership to Co-Design a Digital Health Intervention With Young People Who Have Experienced Technology-Assisted Sexual Abuse
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View abstract on PubMed
Summary
This summary is machine-generated.Co-designing digital health interventions (DHIs) with a Lived Experience Advisory Group (LEAG) for young people affected by technology-assisted sexual abuse (TASA) improved intervention development. Prioritizing lived experience input and resources is crucial for effective Patient and Public Involvement and Engagement (PPIE).
Area Of Science
- Digital Health Interventions (DHIs)
- Patient and Public Involvement and Engagement (PPIE)
- Co-design Methodology
Background
- Patient and Public Involvement and Engagement (PPIE) is integral to healthcare research, yet its application in co-designing digital health interventions (DHIs) is under-documented.
- This study focuses on the co-design process of the i-Minds DHI, a digital tool developed for young individuals experiencing technology-assisted sexual abuse (TASA).
Purpose Of The Study
- To explore and advance the co-design process for digital health interventions (DHIs) through effective Patient and Public Involvement and Engagement (PPIE).
- To detail the collaborative efforts between researchers and a Lived Experience Advisory Group (LEAG) in developing the i-Minds DHI for young people affected by TASA.
Main Methods
- Employed four participatory co-design workshops and focus groups involving Lived Experience Advisory Group (LEAG) members.
- Key activities included feature identification, prototype feedback, priority setting using the MoSCoW method, and refining user-facing content.
- Facilitated recruitment through trusted organizations to engage individuals affected by sensitive issues like TASA.
Main Results
- Effective PPIE requires clear communication, structured processes (e.g., Terms of Reference), and financial remuneration for LEAG members to ensure equity.
- Agile development facilitated iterative refinement of the i-Minds DHI by integrating user feedback.
- MoSCoW prioritization method enhanced transparency in decision-making, though budget and time constraints limited the inclusion of all desired features.
Conclusions
- Recommendations for effective PPIE include early prioritization of lived experience input, adequate resource allocation, and transparent communication.
- Despite challenges like limited LEAG diversity and remote participation, PPIE was perceived as valuable by members.
- The study offers a framework for co-designing DHIs and enhancing inclusivity in PPIE, particularly for sensitive research areas like TASA.
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