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Acceptability of digital health interventions: embracing the complexity
Olga Perski1, Camille E Short2,3
1Department of Behavioural Science and Health, University College London, London, UK.
Translational Behavioral Medicine
|May 8, 2021
Summary
Digital health acceptability is a complex, adaptive system influencing user engagement and intervention effectiveness. Understanding social norms and developing pragmatic measurement tools are crucial for digital health research and practice.
Area of Science:
- Digital Health
- Health Informatics
- Human-Computer Interaction
Background:
- Acceptability is crucial in digital health but lacks clear frameworks for study.
- Existing research has not fully distinguished acceptability from related concepts like user engagement.
- The practical application and measurement of acceptability remain underexplored.
Purpose of the Study:
- To clarify the concept of acceptability in digital health.
- To explore its relationship with user engagement and intervention outcomes.
- To discuss the influence of social and cultural norms and propose measurement strategies.
Main Methods:
- A narrative review of theoretical and empirical literature was conducted.
- The study synthesized examples to illustrate key aspects of acceptability.
- A complexity science lens was proposed for understanding acceptability.
Main Results:
- Acceptability is viewed as an emergent property of a complex system, influencing user engagement.
- Acceptability predicts user engagement and intervention effectiveness.
- Social and cultural norms significantly contextualize acceptability, necessitating user-centered design.
Conclusions:
- Acceptability is a multifaceted concept critical for digital health success.
- Standardized measures for acceptability are lacking; pragmatic approaches like star ratings with free text are suggested.
- Further research and debate are needed to refine the study and application of acceptability in digital health.
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