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Rapid systematic review on developing web-based interventions to support people affected by cancer
Samuel Cooke1, David Nelson2,3, Heidi Green4
1School of Health and Social Care, University of Lincoln, Lincoln, UK scooke@lincoln.ac.uk.
This rapid review synthesized evidence for developing web-based interventions for people affected by cancer (PABC). Findings guide the creation of user-centered digital health resources, emphasizing co-design and iterative evaluation.
Area of Science:
- Digital Health
- Cancer Support Interventions
- Health Informatics
Background:
- Developing effective web-based interventions is crucial for supporting people affected by cancer (PABC).
- A timely evidence synthesis was needed to inform the creation of a new digital resource, 'Shared Lives: Cancer'.
- This study employed a rapid review methodology for efficient evidence gathering.
Purpose of the Study:
- To systematically identify and explore existing evidence for developing web-based interventions for PABC.
- To inform the design and development of user-centered digital health resources for cancer patients and survivors.
Main Methods:
- A rapid review was conducted following Cochrane guidelines and PRISMA checklist.
- Keyword searches in MEDLINE identified peer-reviewed literature on web-based intervention development for PABC.
- Included studies reported primary data on design, usability, feasibility, acceptability, functionality, and user experience.
Main Results:
- Ten studies met eligibility criteria, all using iterative co-design with mixed methods.
- Key themes included exploring evidence/guidelines, identifying user needs, and evaluating resource usability.
- Resources should integrate end-user experiences, guidelines, and theory early in the design process.
Conclusions:
- This rapid review offers methodological insights for designing web-based interventions for PABC.
- Findings can guide researchers in developing future digital health resources for cancer patients.
- Emphasizing co-design and user-centered evaluation is vital for effective digital health tools.
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