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- Title
Older Adult Engagement With Symptom Reporting in a COVID-19 Citizen Science Application.
- Authors
Hobensack, Mollie; Dreisbach, Caitlin; Topaz, Maxim; Elhadad, Noemie; Mamykina, Olena; Bakken, Suzanne B.
- Abstract
The current study examined the frequency and predictors of older adults' engagement with symptom reporting in COVIDWATCHER, a mobile health (mHealth) citizen science application. Citizen science is a type of participatory research that leverages information provided by community members. There were 1,028 COVIDWATCHER participants who engaged with symptom reporting between April 2020 and January 2021. Approximately 13.5% (n = 139) were adults aged ≥65 years. We used a Wilcoxon test to compare the mean frequency of engagement with symptom reporting by older adults (i.e., aged ≥65 years) to younger adults (i.e., aged ≤64 years) and multivariable linear regression to explore the predictors of engagement with symptom reporting. There was a significant difference in engagement with symptom reporting between adults aged ≥65 years compared to those aged ≤64 years (p < 0.001). In our final model, age (β = 26.0; 95% confidence interval [14.8, 34.2]) was a significant predictor for engagement with symptom reporting. These results help further our understanding of older adult engagement with mHealth-enabled citizen science for symptom reporting. [Journal of Gerontological Nursing, 49(4), 6–11.]
- Subjects
STATISTICS; REPORT writing; COVID-19; PATIENT participation; CONFIDENCE intervals; MOBILE apps; MULTIVARIATE analysis; AGE distribution; MANN Whitney U Test; REGRESSION analysis; RETROSPECTIVE studies; SMARTPHONES; MEDICAL care research; SURVEYS; DATA analysis software; DATA analysis; TELEMEDICINE; OLD age
- Publication
Journal of Gerontological Nursing, 2023, Vol 49, Issue 4, p6
- ISSN
0098-9134
- Publication type
Article
- DOI
10.3928/00989134-20230309-02