Advanced search
1 file | 1.72 MB Add to list

Uncovering specific navigation patterns by assessing user engagement of people with dementia and family caregivers with an advance care planning website : quantitative analysis of web log data

Author
Organization
Project
Abstract
Background: Web-based tools have gained popularity to inform and empower individuals in advance care planning. We have developed an interactive website tailored to the unique needs of people with dementia and their families to support advance care planning. This website aims to break away from the rigid pathways shown in other tools that support advance care planning, in which advance care planning is shown as a linear process from information to reflection, communication, and documentation. Objective: This study aimed to assess the website's usage by people with dementia and their family caregivers, identify distinct user engagement patterns, and visualize how users navigated the website. Methods: We analyzed the website's log data obtained from an 8-week evaluation study of the site. Interactions with the website were collected in log data files and included visited web pages or clicked-on hyperlinks. Distinct user engagement patterns were identified using K-means clustering process mining, a technique that extracts insights from log data to model and visualize workflows, was applied to visualize user pathways through the website. Results: A total of 52 participants, 21 individuals with dementia and their family caregivers as dyads and 10 family caregivers were included in the study. Throughout the 8-week study, users spent an average of 35.3 (SD 82.9) minutes over 5.5 (SD 3.4) unique days on the website. Family caregivers mostly used the website (alone or with a person with dementia) throughout the 8-week study. Only 3 people with dementia used it on their own. In total, 3 distinct engagement patterns emerged: low, moderate, and high. Low-engagement participants spent less time on the website during the 8 weeks, following a linear path from information to communication to documentation. Moderate- and high-engagement users showed more dynamic patterns, frequently navigating between information pages and communication tools to facilitate exploration of aspects related to advance care planning. Conclusions: The diverse engagement patterns underscore the need for personalized support in advance care planning and challenge the conventional linear advance care planning representations found in other web-based tools.
Keywords
dementia, advance care planning, user engagement, web-based tool, care, website, caregiver, communication, tool, online, EoLC

Downloads

  • 2025 DupontC JMIRAging.pdf
    • full text (Published version)
    • |
    • open access
    • |
    • PDF
    • |
    • 1.72 MB

Citation

Please use this url to cite or link to this publication:

MLA
Dupont, Charless, et al. “Uncovering Specific Navigation Patterns by Assessing User Engagement of People with Dementia and Family Caregivers with an Advance Care Planning Website : Quantitative Analysis of Web Log Data.” JMIR AGING, vol. 8, 2025, doi:10.2196/60652.
APA
Dupont, C., Smets, T., Potts, C., Monnet, F., Pivodic, L., De Vleminck, A., … Van den Block, L. (2025). Uncovering specific navigation patterns by assessing user engagement of people with dementia and family caregivers with an advance care planning website : quantitative analysis of web log data. JMIR AGING, 8. https://doi.org/10.2196/60652
Chicago author-date
Dupont, Charless, Tinne Smets, Courtney Potts, Fanny Monnet, Lara Pivodic, Aline De Vleminck, Chantal Van Audenhove, Maurice Mulvenna, and Lieve Van den Block. 2025. “Uncovering Specific Navigation Patterns by Assessing User Engagement of People with Dementia and Family Caregivers with an Advance Care Planning Website : Quantitative Analysis of Web Log Data.” JMIR AGING 8. https://doi.org/10.2196/60652.
Chicago author-date (all authors)
Dupont, Charless, Tinne Smets, Courtney Potts, Fanny Monnet, Lara Pivodic, Aline De Vleminck, Chantal Van Audenhove, Maurice Mulvenna, and Lieve Van den Block. 2025. “Uncovering Specific Navigation Patterns by Assessing User Engagement of People with Dementia and Family Caregivers with an Advance Care Planning Website : Quantitative Analysis of Web Log Data.” JMIR AGING 8. doi:10.2196/60652.
Vancouver
1.
Dupont C, Smets T, Potts C, Monnet F, Pivodic L, De Vleminck A, et al. Uncovering specific navigation patterns by assessing user engagement of people with dementia and family caregivers with an advance care planning website : quantitative analysis of web log data. JMIR AGING. 2025;8.
IEEE
[1]
C. Dupont et al., “Uncovering specific navigation patterns by assessing user engagement of people with dementia and family caregivers with an advance care planning website : quantitative analysis of web log data,” JMIR AGING, vol. 8, 2025.
@article{01JN3Z3964N10ASASK9CTNQNC2,
  abstract     = {{Background: Web-based tools have gained popularity to inform and empower individuals in advance care planning. We have developed an interactive website tailored to the unique needs of people with dementia and their families to support advance care planning. This website aims to break away from the rigid pathways shown in other tools that support advance care planning, in which advance care planning is shown as a linear process from information to reflection, communication, and documentation. Objective: This study aimed to assess the website's usage by people with dementia and their family caregivers, identify distinct user engagement patterns, and visualize how users navigated the website. Methods: We analyzed the website's log data obtained from an 8-week evaluation study of the site. Interactions with the website were collected in log data files and included visited web pages or clicked-on hyperlinks. Distinct user engagement patterns were identified using K-means clustering process mining, a technique that extracts insights from log data to model and visualize workflows, was applied to visualize user pathways through the website. Results: A total of 52 participants, 21 individuals with dementia and their family caregivers as dyads and 10 family caregivers were included in the study. Throughout the 8-week study, users spent an average of 35.3 (SD 82.9) minutes over 5.5 (SD 3.4) unique days on the website. Family caregivers mostly used the website (alone or with a person with dementia) throughout the 8-week study. Only 3 people with dementia used it on their own. In total, 3 distinct engagement patterns emerged: low, moderate, and high. Low-engagement participants spent less time on the website during the 8 weeks, following a linear path from information to communication to documentation. Moderate- and high-engagement users showed more dynamic patterns, frequently navigating between information pages and communication tools to facilitate exploration of aspects related to advance care planning. Conclusions: The diverse engagement patterns underscore the need for personalized support in advance care planning and challenge the conventional linear advance care planning representations found in other web-based tools.}},
  articleno    = {{e60652}},
  author       = {{Dupont, Charless and Smets, Tinne and Potts, Courtney and Monnet, Fanny and Pivodic, Lara and De Vleminck, Aline and Van Audenhove, Chantal and Mulvenna, Maurice and Van den Block, Lieve}},
  issn         = {{2561-7605}},
  journal      = {{JMIR AGING}},
  keywords     = {{dementia,advance care planning,user engagement,web-based tool,care,website,caregiver,communication,tool,online,EoLC}},
  language     = {{eng}},
  pages        = {{12}},
  title        = {{Uncovering specific navigation patterns by assessing user engagement of people with dementia and family caregivers with an advance care planning website : quantitative analysis of web log data}},
  url          = {{http://doi.org/10.2196/60652}},
  volume       = {{8}},
  year         = {{2025}},
}

Altmetric
View in Altmetric
Web of Science
Times cited: