Validation of an informant-reported web-based data collection to assess dementia symptoms

Kenneth Rockwood, An Zeng, Chris Leibman, Lisa Mucha, Arnold Mitnitski

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

Background: The Web offers unprecedented access to the experience of people with dementia and their care partners, but data gathered online need to be validated to be useful. Objective: To test the construct validity of an informant Web-based data collection to assess dementia symptoms in relation to the 15-point Dependence Scale (DS). Methods: In an online survey posted on the DementiaGuide website, care partners of people with dementia built individualized profiles from the 60-item SymptomGuide and completed a questionnaire, which included the DS and a staging tool. Results: In the 250 profilees (155, 62% women, mean age 77 years), increasing dependence was associated with a greater chance of institutionalization. For example, no one at the lowest levels of dependence (DS score < 5, n = 33) was in long-term care, compared with half (13/25) of the profilees at the highest levels of dependence (DS score > 12) being in institutions (χ2 4 = 27.9, P <.001). The Web-based DS was correlated with the number of symptoms: higher DS scores were associated with a higher stage of dementia (F > 50, P <.001). Conclusion: In an online survey, the Web-based DS showed good construct validity, potentially demonstrating how the Web can be used to learn more about dementia progression and how it relates to symptoms experienced by patients across the course of dementing illnesses. Even so, caution is needed to assure the validity of data collected online.

Original languageEnglish
Pages (from-to)212-221
Number of pages10
JournalJournal of Medical Internet Research
Volume14
Issue number2
DOIs
Publication statusPublished - 2012

ASJC Scopus Subject Areas

  • Health Informatics

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Rockwood, K., Zeng, A., Leibman, C., Mucha, L., & Mitnitski, A. (2012). Validation of an informant-reported web-based data collection to assess dementia symptoms. Journal of Medical Internet Research, 14(2), 212-221. https://doi.org/10.2196/jmir.1941