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Published on: July 27, 2018
Digital storytelling across the life course: Protocol for a theory-based analysis
Steven Hall1, Michael Lang2, Lauren Czarniewski3
1Faculty of Medicine and Dentistry, Division of Geriatric Medicine, University of Alberta, Edmonton, Alberta, Canada.
This study analyzes digital stories to understand life-course health influences, offering guidance for using these narratives to improve patient-clinician partnerships and health equity.
Area of Science:
- Qualitative Health Research
- Health Communication
- Life Course Epidemiology
Background:
- Digital storytelling (DST) merges personal narratives with multimedia to share health experiences and foster empathy.
- Limited understanding exists on how DST represents life-course health influences.
- This study protocol outlines a theory-based analysis of digital stories using the Life Course Health Development (LCHD) framework.
Purpose of the Study:
- To map representations of cumulative exposures, critical periods, and transitions across the lifespan in digital stories.
- To provide guidance on leveraging DST for enhanced partnerships among patients, caregivers, clinicians, and policymakers.
- To inform the use of DST in health settings for improved health equity and patient-centered care.
Main Methods:
- A planned theory-based analysis of 105 digital story videos from Alberta Health Services (AHS).
- Utilizing the Standards for Reporting for Qualitative Research checklist for methodological rigor.
- Employing directed content analysis with a hybrid coding approach (deductive and inductive) in NVivo 14.
Main Results:
- Anticipated insights will illuminate how digital stories depict cumulative health exposures and life transitions.
- The analysis will identify key themes and patterns in life-course influences as portrayed in digital narratives.
- Results will provide a foundation for understanding the application of DST in diverse health contexts.
Conclusions:
- Study findings will guide clinicians in discussing life-course health trajectories with patients.
- Recommendations will inform health systems on investing in and utilizing DST platforms for learning and knowledge mobilization.
- The research will assist policymakers in integrating lived experiences into health equity initiatives.
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