The Law of Attrition
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Abstract
In an ongoing effort of this Journal to develop and further the theories, models, and best practices around eHealth research, this paper argues for the need for a "science of attrition", that is, a need to develop models for discontinuation of eHealth applications and the related phenomenon of participants dropping out of eHealth trials. What I call "law of attrition" here is the observation that in any eHealth trial a substantial proportion of users drop out before completion or stop using the application. This feature of eHealth trials is a distinct characteristic compared to, for example, drug trials. The traditional clinical trial and evidence-based medicine paradigm stipulates that high dropout rates make…
Citation impact
2,662
total citations
- FWCI
- 51.53
- Percentile
- 100%
- References
- 8
Citations per year
Authors
1Topics & keywords
Keywords
- eHealth
- Attrition
- Clinical trial
- The Internet
- Population
- Dropout (neural networks)
- Discontinuation
- Publication
UN Sustainable Development Goals
- Industry, innovation and infrastructure
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