Analyzing Older Adults' Usage Patterns of PRISM-Germany App
Author Information
Author(s): Memmer Nicole, Schlomann Anna, Wahl Hans-Werner, Radeck Leon
Primary Institution: Heidelberg University
Hypothesis
What are the predictors of app usage among older adults over a three-month period?
Conclusion
The study found a significant decline in app usage among older adults over three months, with sociodemographic factors being the main predictors of usage.
Supporting Evidence
- Usage behavior was assessed through a cloud-based data log procedure.
- On average, 11 out of 32 available categories were accessed per week.
- A significant decline in average usage was observed over three months.
- Chronological age, health, and technology acceptance did not predict usage frequency.
- Female gender, not living alone, and lower education were predictive of usage.
Takeaway
Older adults used the PRISM-Germany app less and less over three months, and things like being female or living with others affected how much they used it.
Methodology
The study used a cloud-based data log to assess app usage and collected baseline data on predictors through an online protocol.
Limitations
The study focused only on community-dwelling adults and may not generalize to all older adults.
Participant Demographics
Community-dwelling adults aged 67–93, with a mean age of 73.7 years and 55% female.
Statistical Information
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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