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Online Decision Support Tool for Personalized Cancer Symptom Checking in the Community (REACT): Acceptability,
Marzena Ewa Nieroda1, Artitaya Lophatananon2, Brian McMillan3
1Division of Management Sciences and Marketing, Alliance Manchester Business School, The University of Manchester, Manchester, United Kingdom.
A new website, Risk Estimation for Additional Cancer Testing (REACT), helps the public assess cancer symptom risk. User feedback guided its development for community health services, aiming to reduce diagnostic delays.
Area of Science:
- Public health
- Digital health interventions
- Cancer screening
Background:
- Improving UK cancer survival is challenged by patient and diagnostic delays.
- A symptom-based risk assessment model was adapted for public use in community settings.
- The REACT website aims to help individuals recognize potential cancer symptoms faster.
Purpose of the Study:
- Evaluate the acceptability of the REACT tool among the public and healthcare practitioners.
- Assess the usability and personalized cancer risk presentation of the REACT website.
- Explore adoption strategies for REACT within UK community healthcare services.
Main Methods:
- Multi-stage research involving 39 members of the public and 20 healthcare practitioners in the UK.
- Data collection via "think-aloud" and open-ended questionnaires from June 2017 to January 2018.
- Iterative website development informed by simultaneous data collection and analysis.
Main Results:
- Demonstrated need for a public-facing cancer symptom risk assessment tool.
- User feedback emphasized simplicity, multi-cancer evaluation, layperson language, and visual risk representation.
- Guided approach with a healthcare practitioner suggested as the optimal delivery method.
Conclusions:
- Involving the public and stakeholders is beneficial for developing community-based cancer symptom check tools.
- The study provides insights for user-friendly interfaces in web-based health services, particularly for personalized risk estimation.
- The REACT website development highlights the potential of digital tools in early cancer detection.
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