Week 4 Flashcards
Definition Platformization
The penetration of infrastructures, economic processes and governmental frameworks of Digital frameworks in different economic sectors and spheres of life, as well as the reorganization of cultural practices and imaginations around these platforms
E-health European Commission (2012)
E-health - when applied effectively - delivers more personalized ‘citizen-centric’ healthcare, which is more targeted, effective and efficient and helps reduce errors, as well as the length of hospitalization.
It facilitates socio-economic inclusion and equality, quality of life and patient empowerment through greater transparency, access to services and information and the use of social media for health.
Purpose health platforms
To solicit and collect all kinds of health information from users
Benefits health platforms personal gain
- personalized, data-driven service
- quick diagnosis
- healthier lifestyle
- proper monitoring device
- speedy updates
Benefits health platform public gain
- contribute to the common good
- data accessible for us and thus helping medical research
- improved public health
- educate general audience
Cons health platforms
Risks to privacy, control and power over data
Three platform mechanisms
- datafication
- commodification
- selection
Definition Datafication
Refers to the ability of networked platforms to render into data many aspects of the world that have never been quantified before: not just demographic, or profiling data volunteered by customers or solicited from them in (online) surveys but behavioral meta-data automatically derived from smartphones such as timestamps and GPS-inferred locations.
(Sleepcycle)
Definition Commodification
The ideals of collectivity where patients were asked to donate their data for the greater good of research turns out to be an investment in connectivity that helps companies like 23andMe accrue value because they turn data into tradeable goods
Definition Selection
The ability of platforms to trigger and filter user activity through interfaces and algorithms, while users, through their interaction with these coded environments, influence the online visibility and availability of particular content, services and people
Digital inequality in selection
- Mobile health app users are generally younger, higher educated, and have higher levels of e-health literacy skills than non-users
- Men are more likely to use fitness apps, whereas women are more likely to use nutrition, self-care and reproductive health apps
What types of persuasive messages do health apps use?
- Providing feedback on performance
- Prompt self-monitoring of behavior
- Plan social support or social change
- Prompt specific goal setting
- Provide contingent rewards
Conclusion Zhou et al. (2018)
- The personalized daily step goal seemed to be more effective in engaging participants and maintaining daily step counts compared with constant step goals
- Adaptively personalized step goals computed by an algorithm are capable of creating challenging yet attainable goals, and these goals effectively promoted physical activity
Definition tailored health communication
The opportunity to use computer tailoring to deliver personalized interventions to users via the internet, motivating users to adopt health behaviors without face-to-face counseling
Pros and cons tailored health communication
Pro: effective way to motivate individuals to adopt healthy behaviors
Cons:
1. high drop-out rates
2. intervention not used correctly or as recommended