No Exchange, Same Pain, No Gain: Risk-Reward of Wearable Healthcare - - PowerPoint PPT Presentation
No Exchange, Same Pain, No Gain: Risk-Reward of Wearable Healthcare - - PowerPoint PPT Presentation
No Exchange, Same Pain, No Gain: Risk-Reward of Wearable Healthcare Disclosure for Receiving Pain Treatment Cory Robinson, Ph.D. 24 JANUARY 2017 2 Risk-Reward of Wearable Healthcare Disclosure for Receiving Pain Treatment Presenter Bio
Presenter Bio
- Ph.D. in Public Communication and Technology
- Sr. Lecturer in Communication Design at
Linköping University, Sweden
- Current research: Privacy in digital technologies
2 Risk-Reward of Wearable Healthcare Disclosure for Receiving Pain Treatment 24 JANUARY 2017
Presentation Overview
- 1. Global healthcare issues
- 2. Current healthcare wearables
- 3. Using wearables in healthcare
– Benefits and concerns
- 4. Data collected by wearables
- 5. Introduction and application of theory
- 6. Examine risk versus benefit of using health wearables
3 Risk-Reward of Wearable Healthcare Disclosure for Receiving Pain Treatment 24 JANUARY 2017
Introduction
Introduction
- Populations across the globe are aging (Kalache & Keller, 2000)
- Economic concerns, including overburdened healthcare
systems (Bloom et al., 2015)
- Health wearables can provide healthcare benefits at
affordable costs
5 Risk-Reward of Wearable Healthcare Disclosure for Receiving Pain Treatment 24 JANUARY 2017
6
Quell Vivy Pulse CŪR iTens Thync
Risk-Reward of Wearable Healthcare Disclosure for Receiving Pain Treatment 24 JANUARY 2017
Benefits of healthcare wearables
- 1. Targeted healthcare
- 2. Patient involvement
in healthcare
- 3. Up-to-date metrics
for physicians
- 4. Save money
- 5. Mobile, discreet pain
treatment
- 6. Reduced medication
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Concerns using health wearables
- Wearables require
patients to disclose sensitive information – Health information – Personal information
- Hacking
- How secure is data?
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Sensitivity of health information
- Individuals were least
willing to disclose health information
- Cross-nationally,
perceived as riskiest to disclose
(Robinson, 2015)
- Classified as sensitive
personal data by U.S. government
(Callahan, 2012)
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Personal information collected by wearables
- Lower risk
– Name – Email
- High(er) risk
– Address – Date of birth – Location information – Social media account(s)
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Personal information collected by wearables
- “… other information that can
be used to identify you”
(Thync, 2015b)
- Analytics (Neurometrix, 2016b)
- Some devices lack privacy
policies
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Theory
Risk-Reward relationship in wearables
13
Risk
(loss of privacy)
Reward
(treatment of pain)
Risk-Reward of Wearable Healthcare Disclosure for Receiving Pain Treatment 24 JANUARY 2017
Communication Privacy Management (CPM)
- Practical theory “designed to provide an explanation for
communicative issues about privacy that individuals face in the everyday world” (Petronio, 2002, p. xvii)
- Applicable to relationships in digital environments
(Metzger, 2007)
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CPM tenets
- 1. Public-Private dialectical tension
- 2. Conceptualization of private information
- 3. Privacy Rules
- 4. Shared Boundaries
- 5. Boundary Coordination
- 6. Boundary Turbulence
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#1: Public-Private dialectical tension
- Process of disclosure is dialectical
- Push-pull of revealing and concealing private information
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Health wearables: public-private dialectics
- Push-pull: disclose
information to wearable to receive treatment?
- Expect lower privacy
levels
- In-person doctor visits
may set unrealistic trust expectations
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#2: Conceptualization of private information
- Individuals own their
information
- Decide whether to
make information public or private
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Health wearables: user private information
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- Risk-reward faced at
purchase
- Purchase intent
influences disclosure
- Contemplating
disclosure at purchase complicates healthcare
#3: Privacy Rules
- Regulate the flow of
private information
- We create rules
- Rules developed using
different criteria
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Health wearables: privacy rules
- Rule development criteria must include state of health
- Chronic pain can influence decision making (Apkarian et al., 2004)
- Users should consider pain levels and overall health when
making disclosure decisions
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#4: Shared Boundaries
- Once disclosed,
information is co-owned
- Co-owners cooperate
to create boundaries
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Health wearables: shared boundaries
- Boundaries may not
be shared
- Users are not aware
- f how data is shared
- Shared boundaries
can create risks
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#5: Boundary Coordination
- Boundary linkages
- Boundary ownership rights
- Boundary permeability
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Health wearables: boundary coordination
- Boundary linkage with
company after accepting EULA
- Other (unknown)
linkages through application permissions
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#6: Boundary Turbulence
- When violations or
misunderstandings arise regarding the disclosure and related information
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Health wearables: Boundary turbulence
- Privacy violations occur when company accesses
unnecessary information – Location information – Social media accounts
- Companies may violate users, and user’s friends and
family
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Implications
Implications: Data collection practices
- Companies should clearly state information collection
practices
- Companies should only collect information necessary for
treatment
- Allow consumer to opt-out
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Implications: Data collection practices
- Globally, data rules
are “strengthening”
- However, health data
brings new challenges
- Frameworks for
protecting health information are needed
- Privacy from the start
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Implications: Social Health
- Wearables may
violate patients’ social health
- Compromised social
media accounts
- Violations for friends
and family
- Creates relational
conflict
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Future studies
- Will sufferers of chronic pain disclose for reward of better
targeted, more effective treatment?
- Sacrifices of social health worth the rewards of greater
physical health?
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Conclusion: Dilemma
- Consumer dilemma:
Sacrifice privacy to treat chronic pain?
- Relief of chronic pain =
powerful motivator for individuals to disclose health information
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Conclusion: The “perfect” scenario
- Companies + chronic pain sufferers must agree to
scenario
- Providing personal data = better targeted health
- utcomes AND privacy is respected
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Conclusion
- Adoption influenced by ensuring consumers/patients
their privacy is protected
- Perceived benefits: wearable will help manage or better
treat health
- Further, by ensuring privacy, we can:
– Increase Trust – Lessen Anxiety – Lower perceived risk – Increase adoption and usage
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