SlideShare a Scribd company logo
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
daniela.napoli@carleton.ca
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 daniela.napoli@carleton.ca 2
*Systems of devices designed for users to manage or support their
health and well-being outside of typical healthcare settings.
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 daniela.napoli@carleton.ca 3
Survey Methodology
Survey Respondent Flow
Exploring User Perspectives on Remote Healthcare Technology daniela.napoli@carleton.ca 5
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 daniela.napoli@carleton.ca 6
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 daniela.napoli@carleton.ca 7
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 daniela.napoli@carleton.ca 8
Results
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 daniela.napoli@carleton.ca 10
● 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 daniela.napoli@carleton.ca 11
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 daniela.napoli@carleton.ca 12
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 daniela.napoli@carleton.ca 13
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 daniela.napoli@carleton.ca 14
Of those comfortable with collection…
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 daniela.napoli@carleton.ca 15
Of those not comfortable with collection…
Discussion
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 daniela.napoli@carleton.ca 17
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 daniela.napoli@carleton.ca 18
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 daniela.napoli@carleton.ca 19
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
daniela.napoli@carleton.ca

More Related Content

PDF
Dave Taylor
Lucia Garcia
 
PPTX
One London conversation workshop 18 July slide deck
Katie Harrison
 
PPTX
EHR - A Consumer Perspective
Health Informatics New Zealand
 
PDF
Person-generated health data: How can it help us to feel better?
Kathleen Gray
 
PDF
United healthcare trends discussion by Frost & Sullivan
Modupe Sarratt
 
PDF
HISI conference 2016 - Dame Fiona Caldicott - Nov 16th 2016
ipposi
 
PDF
Android for Healthcare - Droidcon London 2013
Linden Darling
 
PPTX
Raising the Digital Trajectory of Healthcare
Health Catalyst
 
Dave Taylor
Lucia Garcia
 
One London conversation workshop 18 July slide deck
Katie Harrison
 
EHR - A Consumer Perspective
Health Informatics New Zealand
 
Person-generated health data: How can it help us to feel better?
Kathleen Gray
 
United healthcare trends discussion by Frost & Sullivan
Modupe Sarratt
 
HISI conference 2016 - Dame Fiona Caldicott - Nov 16th 2016
ipposi
 
Android for Healthcare - Droidcon London 2013
Linden Darling
 
Raising the Digital Trajectory of Healthcare
Health Catalyst
 

Similar to Exploring User Perspectives on Data Collection, Data Sharing Preferences, and Privacy Concerns with Remote Healthcare Technology (20)

PDF
Blockchain: Information Tracking - Manion AFCEA/GMU C4i
Sean Manion PhD
 
PDF
FACT-IR. Fairness, Accountability, Confidentiality and Transparency in Inform...
Darío Garigliotti
 
PPTX
Panel Cyber Security and Privacy without Carrie Waggoner
mihinpr
 
PDF
Wendy Nilsen - Aging in Place
Daniel Huber
 
PDF
Giles Wilmore: How will the NHS Information Strategy support the new NHS?
The King's Fund
 
PPTX
Understanding Public Health Systems through Data Integration and Visualization
Megan Villwock
 
PDF
Presenting health data to patients
Kathleen Gray
 
PPTX
Health Data Sharing Scene Setting
ipposi
 
PPTX
Streamlining Data Discrepancy Management with Intelligent Chatbots
ClinosolIndia
 
PDF
DAMA Webinar - Big and Little Data Quality
DATAVERSITY
 
PDF
Dama webinar-little-data-in-a-big-data-world-160217211043
SeilaIglesiasDomngue
 
PPTX
Building public trust in the use of health and care data
Health and Care Innovation Expo
 
PPTX
Complications in big data-based communication in the wake of COVID-19: A comp...
Selcen Ozturkcan
 
PDF
Sdal air health and social development (jan. 27, 2014) final
kimlyman
 
PPTX
AMDIS CHIME Fall Symposium
Dale Sanders
 
PDF
Age well template lunch and learn (1)
AchXu
 
PPTX
There Is A 90% Probability That Your Son Is Pregnant: Predicting The Future ...
Health Catalyst
 
PPTX
Why data matters – what we need to be mindful of Jillian Hastings Ward (Chair...
NHS England
 
PDF
ODF III - 3.15.16 - Day Two Morning Sessions
Michael Kerr
 
Blockchain: Information Tracking - Manion AFCEA/GMU C4i
Sean Manion PhD
 
FACT-IR. Fairness, Accountability, Confidentiality and Transparency in Inform...
Darío Garigliotti
 
Panel Cyber Security and Privacy without Carrie Waggoner
mihinpr
 
Wendy Nilsen - Aging in Place
Daniel Huber
 
Giles Wilmore: How will the NHS Information Strategy support the new NHS?
The King's Fund
 
Understanding Public Health Systems through Data Integration and Visualization
Megan Villwock
 
Presenting health data to patients
Kathleen Gray
 
Health Data Sharing Scene Setting
ipposi
 
Streamlining Data Discrepancy Management with Intelligent Chatbots
ClinosolIndia
 
DAMA Webinar - Big and Little Data Quality
DATAVERSITY
 
Dama webinar-little-data-in-a-big-data-world-160217211043
SeilaIglesiasDomngue
 
Building public trust in the use of health and care data
Health and Care Innovation Expo
 
Complications in big data-based communication in the wake of COVID-19: A comp...
Selcen Ozturkcan
 
Sdal air health and social development (jan. 27, 2014) final
kimlyman
 
AMDIS CHIME Fall Symposium
Dale Sanders
 
Age well template lunch and learn (1)
AchXu
 
There Is A 90% Probability That Your Son Is Pregnant: Predicting The Future ...
Health Catalyst
 
Why data matters – what we need to be mindful of Jillian Hastings Ward (Chair...
NHS England
 
ODF III - 3.15.16 - Day Two Morning Sessions
Michael Kerr
 
Ad

Recently uploaded (20)

PPTX
Raksha Bandhan Celebrations PPT festival
sowmyabapuram
 
PDF
Green Natural Green House Presentation (2).pdf
SaeedOsman6
 
PPTX
A Power Point Presentaion of 2 test match
katarapiyush21
 
PPTX
Iconic Destinations in India: Explore Heritage and Beauty
dhorashankar
 
PPTX
IBA DISTRICT PIR PRESENTATION.POWERPOINT
ROGELIOLADIERO1
 
PPTX
DPIC Assingment_1.pptx.pptx for presentation
yashwork2607
 
PPTX
DARKWEB Deepweb what to do or not ?.pptx
prembasnet12
 
PPTX
2025-07-27 Abraham 09 (shared slides).pptx
Dale Wells
 
PDF
Enhancing Bambara Groundnut Production Through Improved Agronomic Practices
Francois Stepman
 
PPTX
PHILIPPINE LITERATURE DURING SPANISH ERA
AllizaJoyMendigoria
 
PDF
Advanced-Web-Design-Crafting-the-Future-Web (1).pdf
vaghelavidhiba591
 
DOCX
Policies & Procedures of Internal Audit Department of Shelter Holding LLC.docx
AlamGir100
 
PPTX
THE school_exposure_presentation[1].pptx
sayanmondal3500
 
PPTX
Public Speakingbjdsbkjfdkjdasnlkdasnlknadslnbsjknsakjscbnkjbncs.pptx
ranazunairriaz1
 
PPTX
AMFI - Investor Awareness Presentation.pptx
ssuser89d308
 
PPTX
Introductions to artificial intelligence
rakshjain77
 
PPTX
Influencing Factors of Business Environment of Vegetables Selling Business
auntorkhastagirpujan
 
PPTX
Selecting relevant value chain/s for Impactful Development Policies
Francois Stepman
 
PPTX
garment-industry in bangladesh. how bangladeshi industry is doing
tanvirhossain1570
 
PPTX
Assam' Vibrant Bihu Festival Bihu presentation.pptx
rpmsbarman
 
Raksha Bandhan Celebrations PPT festival
sowmyabapuram
 
Green Natural Green House Presentation (2).pdf
SaeedOsman6
 
A Power Point Presentaion of 2 test match
katarapiyush21
 
Iconic Destinations in India: Explore Heritage and Beauty
dhorashankar
 
IBA DISTRICT PIR PRESENTATION.POWERPOINT
ROGELIOLADIERO1
 
DPIC Assingment_1.pptx.pptx for presentation
yashwork2607
 
DARKWEB Deepweb what to do or not ?.pptx
prembasnet12
 
2025-07-27 Abraham 09 (shared slides).pptx
Dale Wells
 
Enhancing Bambara Groundnut Production Through Improved Agronomic Practices
Francois Stepman
 
PHILIPPINE LITERATURE DURING SPANISH ERA
AllizaJoyMendigoria
 
Advanced-Web-Design-Crafting-the-Future-Web (1).pdf
vaghelavidhiba591
 
Policies & Procedures of Internal Audit Department of Shelter Holding LLC.docx
AlamGir100
 
THE school_exposure_presentation[1].pptx
sayanmondal3500
 
Public Speakingbjdsbkjfdkjdasnlkdasnlknadslnbsjknsakjscbnkjbncs.pptx
ranazunairriaz1
 
AMFI - Investor Awareness Presentation.pptx
ssuser89d308
 
Introductions to artificial intelligence
rakshjain77
 
Influencing Factors of Business Environment of Vegetables Selling Business
auntorkhastagirpujan
 
Selecting relevant value chain/s for Impactful Development Policies
Francois Stepman
 
garment-industry in bangladesh. how bangladeshi industry is doing
tanvirhossain1570
 
Assam' Vibrant Bihu Festival Bihu presentation.pptx
rpmsbarman
 
Ad

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
  • 5. Survey Respondent Flow Exploring User Perspectives on Remote Healthcare Technology [email protected] 5
  • 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]