articleJournal of Medical Internet ResearchMar 31, 2005GOLD OA

The Law of Attrition

University Health Network

PubMed
Indexed incrossrefdoajpubmed

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

1

Topics & 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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