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Cited by 161Meta-analysis and systematic reviewsStatistical Methods in Clinical TrialsAcademic Publishing and Open Access

The Law of Attrition Revisited

Open access
Christensen, Helen, Mackinnon, Andrew·2006·Journal of Medical Internet Research
DOI 10.2196/jmir.8.3.e20PMC PMC2018831
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Crossref · 10.2196/jmir.8.3.e20

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6 of 6 references verified0 citation errors · 0 not checkable

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  • Some users may expect to complete only a limited part of a program to meet their needs, while others may plan and need to complete the full treatment.

    “Users may expect to complete a limited subset of a program to satisfy their needs, whereas other users may plan and need to complete the full treatment offered.”

    From A Behavior Change Model for Internet Interventions (2009) · cites this paper as [45]

  • Because Internet interventions can be used in different ways, usage data are harder to interpret; an apparent dropout or nonadherent user may have achieved success with a low treatment dose.

    “Given these different uses of an Internet intervention, it is much more difficult to make sense of usage data, as someone who appears to be a “dropout” or nonadherent user may actually be someone who obtained “success” with a low treatment dose [45].”

    From A Behavior Change Model for Internet Interventions (2009) · cites this paper as [45]

  • People may approach and use Internet interventions differently from other treatments, so user expectations are important.

    “People may approach and use Internet interventions differently than any other form of treatment, and it is critical to take into consideration user expectations [45].”

    From A Behavior Change Model for Internet Interventions (2009) · cites this paper as [45]

  • Individuals may stop using the technology because they have reached their personal goals (early completers or e-attainers).

    “Moreover, individuals may also stop using the technology because they have reached their personal goals (early completers or e-attainers) [11,15]”

    From Clarifying the Concept of Adherence to eHealth Technology: Systematic Review on When Usage Becomes Adherence (2017) · cites this paper as [15]

  • A lack of human centeredness explains the incidence of usability problems and high attrition rates.

    “This lack of human centeredness explains the incidence of usability problems [7-9], or high attrition rates [10-18].”

    From A Holistic Framework to Improve the Uptake and Impact of eHealth Technologies (2011) · cites this paper as [11]

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Cites

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Research works printed but not linked: 1

  1. [3]Martinez M High attrition rates in e-learning: challenges, predictors, and solutions The E-Learning Developers’ Journal 2003 7 14

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Authors
Christensen, H., & Mackinnon, A.
Affiliations
Australian National University (AU)
Corresponding author
Christensen, Helen
ORCID
Venue
Journal of Medical Internet Research
Publisher
JMIR Publications Inc.
Published
2006-09-29
Volume
8
Issue
3
Pages
e20
ISSN
1438-8871 (ISSN-L)
DOI
10.2196/jmir.8.3.e20
PMC
PMC2018831
OpenAlex
W2037154843
Cited by
161
References
6
Citations by year
2026: 5 · 2025: 9 · 2024: 5 · 2023: 11 · 2022: 8 · 2021: 11 · 2020: 5 · 2019: 14 · 2018: 7 · 2017: 8 · 2016: 8 · 2015: 12 · 2014: 13 · 2013: 14 · 2012: 6
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Journal of Medical Internet Research (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • TSpace (University of Toronto) (submittedVersion, cc-by)
  • ANU Open Research (Australian National University) (submittedVersion)
Funders
Medical Research Council
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
Keywords
attrition, participant dropout, retention, longitudinal study, research ethics
MeSH terms
Health Services Research, Humans, Medical Informatics Applications, Patient Dropouts, Internet

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