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Exploring User Perspectives on Data Collection, Data Sharing Preferences, and Privacy Concerns with Remote Healthcare Technology
1. Exploring User Perspectives on Data
Collection, Data Sharing Preferences,
and Privacy Concerns with Remote
Healthcare Technology
Daniela Napoli¹, Heather Molyneaux²,
Hélène Fournier², and Sonia Chiasson¹
Carleton University, Ottawa, Canada¹
National Research Council, New Brunswick, Canada²
with funding from Human-Centric Cybersecurity Partnership
[email protected]
2. Motivation
RQ1. What are users’ perspectives
on data collected and shared by
remote healthcare technology?
RQ2. How might these vary
depending on contexts like age and
healthcare scenario?
Remote healthcare technology*
can enhance healthcare
services…
but do not always align with
privacy expectations.
Exploring User Perspectives on Remote Healthcare Technology [email protected] 2
*Systems of devices designed for users to manage or support their
health and well-being outside of typical healthcare settings.
3. Related Literature
● Data must be retained to offer
monitoring
(Siwicki, 2020)
● But users are concerned about
protection of data, lack of
discretion, and control over
collection (Wilkowska, 2011;
Frik et al., 2019; Berridge, 2022)
● Context impacts privacy
○ Contextual Integrity
■ “Privacy" = appropriate
flow of information
(Nissenbaum, 2004)
● Privacy perspectives can be
context-dependent
○ Adults aged 18-29 use a
model-free method
(Anaraky et al., 2021)
○ Adults aged 65+ more likely to
share information if the recipient
is benevolent (Frik et al., 2020)
Exploring User Perspectives on Remote Healthcare Technology [email protected] 3
6. Healthcare Scenario Questions
● Likelihood of use
● We asked about 5 data types
1. Identifiable Video
2. Anonymous Video
3. Audio
4. Vital signs
5. Activities and wellness
Are you comfortable with the
collection of <data type>?
What are
your
concerns?
Who would
you share
with?
Exploring User Perspectives on Remote Healthcare Technology [email protected] 6
7. Options for the Branching Questions
Who would you share with?
❏ Healthcare providers
❏ Immediate family
❏ Extended family
❏ Household members
❏ Neighbours
❏ Friends
❏ Government / Non-profit
❏ Device Manufacturers
❏ No one
What are your concerns?
❏ I do not know why this
information would be
needed for this scenario
❏ I do not want people to
know this information
❏ I worry this information
may be misused
❏ I worry this information
may not be adequately
protected when stored
❏ Other concern(s)
OR
Exploring User Perspectives on Remote Healthcare Technology [email protected] 7
8. Recruitment and Data Analysis
● Data collected in 2023
● Various recruitment channels
○ Prolific
○ Social media, NRC groups,
personal networks
○ Local community outreach
■ Public Libraries
■ Community Centres
● Descriptive statistics
○ Mean, SD, median
● Inferential statistics
○ Kruskal-Wallis
○ Wilcoxon rank sum for
post-hoc
Exploring User Perspectives on Remote Healthcare Technology [email protected] 8
10. Participants
95% 5%
N = 384
Gender
Women Men Non-Binary Undisclosed
206 168 7 3
Age
Group
18-34 35-49 50-64 65+
71 76 144 93
Scenario
Symptoms Rehab Emergency Chronic
96 97 98 93
Exploring User Perspectives on Remote Healthcare Technology [email protected] 10
11. ● Positives
○ Cost coverage
○ Quick first-responders
● Negatives
○ Long wait times
○ Poor relationships with
healthcare providers
● Existing remote healthcare
technology is limited
“I have received some
excellent care and also
some appallingly bad care.”
General Healthcare Experiences
Exploring User Perspectives on Remote Healthcare Technology [email protected] 11
12. Likelihood of Use
Overall, mean of 3.82 out of 5
indicating everyone was
slightly likely
By age groups…
● Participants aged 35-49 and 50-64 were
significantly more likely to use remote
healthcare technology than 65+
By healthcare scenario…
● No statistically significant differences
● Some trends:
○ Those in the chronic health condition
scenario were most likely to use
○ Those in post-op rehabilitation scenario
were least likely to use
Exploring User Perspectives on Remote Healthcare Technology [email protected] 12
13. Comfort Ratings
By age groups…
● Participants aged 18-34 significantly less
comfortable with identifiable video data
collection than 50-64
By scenario…
● Those assigned to chronic condition
scenario significantly less comfortable with
audio data collection than health
emergency scenario
Exploring User Perspectives on Remote Healthcare Technology [email protected] 13
14. Data Sharing Preferences
By age groups…
● 18-34 shared
○ identifiable video with significantly
more recipients than 50-64 and 65+
○ anonymous video with significantly
more recipients than 50-64
By healthcare scenarios…
● No statistically significant differences
● Some trends:
○ Those in emergency scenario shared with
most recipients
○ Those in chronic condition scenario
shared with the fewest
Exploring User Perspectives on Remote Healthcare Technology [email protected] 14
Of those comfortable with collection…
15. Data Collection Concerns
By age groups…
● Participants aged 18-34 expressed
significantly more concerns about
identifiable video data than 50-64
By healthcare scenarios…
● No statistically significant differences
Exploring User Perspectives on Remote Healthcare Technology [email protected] 15
Of those not comfortable with collection…
17. RQ1: What are users’
perspectives on data collected
and shared by remote
healthcare technology?
● Identifiable video data differs
from other types of data when it
comes to healthcare
● Only want to share if it directly
benefits health
Exploring User Perspectives on Remote Healthcare Technology [email protected] 17
18. RQ2: How might these vary
depending on contexts like age
and healthcare scenario?
● Older adults are the least likely
to adopt remote healthcare
tech
● Perspectives can shift
depending on healthcare
scenario
Exploring User Perspectives on Remote Healthcare Technology [email protected] 18
19. Further Discussion
Limitations
● Branching may impact generalizability
● Sampling techniques may introduce
sampling and selection bias
● Contextual descriptions may introduce
variability between responses
Next Steps
● Further explore how other
characteristics (e.g., ethnicity) can
impact perspectives
● Further explore the nuances via
qualitative research (e.g., interview
older adults about adoption issues)
Exploring User Perspectives on Remote Healthcare Technology [email protected] 19
20. Exploring User Perspectives on Data
Collection, Data Sharing
Preferences, and Privacy Concerns
with Remote Healthcare Technology
Daniela Napoli¹, Heather Molyneaux²,
Helene Fournier², and Sonia Chiasson¹
Carleton University, Ottawa, Canada¹
National Research Council, New Brunswick, Canada²
[email protected]