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Published on: August 1, 2019
Risks and Benefits of Web-Based Patient Narratives: Systematic Review.
Daniel Drewniak1, Andrea Glässel1,2, Martina Hodel1
1Institute of Biomedical Ethics and History of Medicine, University of Zurich, Zurich, Switzerland.
Web-based patient narratives offer potential benefits for understanding health conditions and emotional support. However, quantifying their impact remains challenging due to varied outcomes and study designs.
Area of Science:
- Health communication
- Digital health
- Patient engagement
Background:
- Web-based patient narratives are increasingly prevalent online and in social media.
- These narratives serve as decision aids and information sources for patients and healthcare providers.
- The potential impact of patient stories on healthcare outcomes warrants quantitative investigation.
Purpose of the Study:
- To evaluate the quantifiable risks and benefits of research-generated Web-based patient narratives.
- To assess the impact on patients, relatives, and healthcare professionals.
Main Methods:
- A systematic review of scientific databases (MEDLINE, PsycInfo, etc.) was conducted from August 2017 to March 2019.
- Included studies were quantitative, focusing on Web-based patient narratives generated through scientific methods.
- Study quality was assessed using a validated checklist by two independent reviewers.
Main Results:
- Seventeen studies met the inclusion criteria, investigating 10 different narrative sources.
- Positive effects were identified across categories: providing information, engagement, behavior modeling, and comfort.
- Negative effects were noted in the 'persuade' category; some reported effects were small or context-dependent.
Conclusions:
- Web-based patient narratives show promise for improving understanding, providing emotional support, and influencing behavior.
- Limited evidence supports beneficial effects, but heterogeneity in narratives and outcomes complicates overall judgment.
- Quantifying the impact of these narratives is challenging, necessitating future research on optimal quantitative methodologies.
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