This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (744) mHealth for Data Collection and Research (1196) mHealth for Screening (296) Mobile Health (mhealth) (3464) Behavior Change (863) Innovations and Technology in Cancer Care (531) Pilot studies (ehealth) (325)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45693, first published .
Using Continuous Passive Assessment Technology to Describe Health and Behavior Patterns Preceding and Following a Cancer Diagnosis in Older Adults: Proof-of-Concept Case Series Study

Using Continuous Passive Assessment Technology to Describe Health and Behavior Patterns Preceding and Following a Cancer Diagnosis in Older Adults: Proof-of-Concept Case Series Study

Using Continuous Passive Assessment Technology to Describe Health and Behavior Patterns Preceding and Following a Cancer Diagnosis in Older Adults: Proof-of-Concept Case Series Study

Authors of this article:

Chao-Yi Wu1, 2 Author Orcid Image ;   Deanne Tibbitts3, 4 Author Orcid Image ;   Zachary Beattie1 Author Orcid Image ;   Hiroko Dodge1, 2 Author Orcid Image ;   Jackilen Shannon4 Author Orcid Image ;   Jeffrey Kaye1 Author Orcid Image ;   Kerri Winters-Stone3, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Nevler N, Niehoff D, Gleixner A, Dodge S, Vogel A, Hill D, Ducharme S, Staffaroni A, Yunusova Y, Au R, Macwhinney B, Wong B, Parish‐Morris J, Geronimo A, Hansen B, Beattie Z, Stephenson D, Boxer A, Dacks P, Rohrer J. Developing digital health technologies for frontotemporal degeneration. Alzheimer's & Dementia 2025;21(4) View
  2. Agelink van Rentergem J, Li Y, Small B. Improving detection of cancer-related cognitive impairment (CRCI) in non-CNS cancer: current trends and future directions. Journal of Clinical and Experimental Neuropsychology 2025:1 View