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Older Adult Engagement With Symptom Reporting in a COVID-19 Citizen Science Application.
J Gerontol Nurs ; 49(4): 6-11, 2023 Apr.
Article en En | MEDLINE | ID: mdl-36989473
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 (ß = 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.].
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Telemedicina / Ciencia Ciudadana / COVID-19 Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Aged / Humans Idioma: En Revista: J Gerontol Nurs Año: 2023 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Telemedicina / Ciencia Ciudadana / COVID-19 Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Aged / Humans Idioma: En Revista: J Gerontol Nurs Año: 2023 Tipo del documento: Article