Skip to main content
Journal of Gerontological Nursing, 2023;49(4):6–11
Cite this articlePublished Online:https://doi.org/10.3928/00989134-20230309-02Cited by:1

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.]

  • Abbaspur-Behbahani S., Monaghesh E., Hajizadeh A., & Fehresti S. (2022). Application of mobile health to support the elderly during the COVID-19 outbreak: A systematic review. Health Policy and Technology, 11(1), 100595. 10.1016/j.hlpt.2022.100595 PMID:35018280

    > Crossref MedlineGoogle Scholar
  • Ahmad N. A., Mat Ludin A. F., Shahar S., Mohd Noah S. A., & Mohd Tohit N. (2022). Willingness, perceived barriers and motivators in adopting mobile applications for health-related interventions among older adults: A scoping review. BMJ Open, 12(3), e054561. 10.1136/bmjopen-2021-054561 PMID:35264349

    > Crossref MedlineGoogle Scholar
  • Beatty A. L., Peyser N. D., Butcher X. E., Carton T. W., Olgin J. E., Pletcher M. J., & Marcus G. M. (2021). The COVID-19 citizen science study: Protocol for a longitudinal digital health cohort study. JMIR Research Protocol, 10(8), E28169. 10.2196/28169

    > Crossref MedlineGoogle Scholar
  • Birkin L. J., Vasileiou E., & Stagg H. R. (2021). Citizen science in the time of COVID-19. Thorax, 76, 636–637. 10.1136/thoraxjnl-2020-216673 PMID:33653934

    > Crossref MedlineGoogle Scholar
  • Centers for Disease Control and Prevention. (2022). Risk for COVID-19 infection, hospitalization, and death by age group. https://www.cdc.gov/coronavirus/2019-ncov/covid-data/investigations-discovery/hospitalization-death-by-age.html

    > Google Scholar
  • Changizi M., & Kaveh M. H. (2017). Effectiveness of the mHealth technology in improvement of healthy behaviors in an elderly population: A systematic review. mHealth, 3, 51. 10.21037/mhealth.2017.08.06 PMID:29430455

    > Crossref MedlineGoogle Scholar
  • Columbia University. (2020).COVIDWATCHER: Watching out for COVID means watching out for each other. https://covidwatcher.dbmi.columbia.edu/

    > Google Scholar
  • Fox G., & Connolly R. (2018). Mobile health technology adoption across generations: Narrowing the digital divide. Information Systems Journal, 28(6), 995–1019. 10.1111/isj.12179

    > CrossrefGoogle Scholar
  • Graham S. A., Stein N., Shemaj F., Branch O. H., Paruthi J., & Kanick S. C. (2021). Older adults engage with personalized digital coaching programs at rates that exceed those of younger adults. Frontiers in Digital Health, 3, 642818. 10.3389/fdgth.2021.642818 PMID:34713112

    > Crossref MedlineGoogle Scholar
  • Honardoost M., Janani L., Aghili R., Emami Z., & Khamseh M. E. (2021). The association between presence of comorbidi-ties and COVID-19 severity: A systematic review and meta-analysis. Cerebrovascular Diseases (Basel, Switzerland), 50(2), 132–140. 10.1159/000513288 PMID:33530081

    > Crossref MedlineGoogle Scholar
  • Jaana M., & Paré G. (2020). Comparison of mobile health technology use for self-tracking between older adults and the general adult population in Canada: Cross-sectional survey. JMIR mHealth and uHealth, 8(11), E24718. 10.2196/24718

    > Crossref MedlineGoogle Scholar
  • Kondylakis H., Katehakis D. G., Kouroubali A., Logothetidis F., Triantafyllidis A., Kalamaras I., Votis K., & Tzovaras D. (2020). COVID-19 mobile apps: A systematic review of the literature. Journal of Medical Internet Research, 22(12), e23170. 10.2196/23170 PMID:33197234

    > Crossref MedlineGoogle Scholar
  • Mueller A. L., McNamara M. S., & Sinclair D. A. (2020). Why does COVID-19 disproportionately affect older people? Aging (Albany NY), 12(10), 9959–9981. 10.18632/aging.103344 PMID:32470948

    > Crossref MedlineGoogle Scholar
  • Murray B., Kerfoot E., Chen L., Deng J., Graham M. S., Sudre C. H., Molteni E., Canas L. S., Antonelli M., Klaser K., Visconti A., Hammers A., Chan A. T., Franks P. W., Davies R., Wolf J., Spector T. D., Steves C. J., Modat M., & Ourselin S. (2021). Accessible data curation and analytics for international-scale citizen science datasets. Scientific Data, 8(1), 1–17. 10.1038/s41597-021-01071-x

    > Crossref MedlineGoogle Scholar
  • Rodrigues N. G., Han C. Q. Y., Su Y., Klainin-Yobas P., & Wu X. V. (2022). Psychological impacts and online interventions of social isolation amongst older adults during COVID-19 pandemic: A scoping review. Journal of Advanced Nursing, 78(3), 609–644. 10.1111/jan.15063 PMID:34625997

    > Crossref MedlineGoogle Scholar
  • Sacco G., Brière O., Asfar M., Guérin O., Berrut G., & Annweiler C. (2020). Symptoms of COVID-19 among older adults: Systematic review of biomedical literature [article in French]. Gériatrie et Psychologie Neuropsychiatrie du Vieillissement, 18(2), 135–140. 10.1684/pnv.2020.0863 PMID:32554345

    > Crossref MedlineGoogle Scholar
  • Schmitz H., Howe C. L., Armstrong D. G., & Subbian V. (2018). Leveraging mobile health applications for biomedical research and citizen science: A scoping review. Journal of the American Medical Informatics Association, 25(12), 1685–1695. 10.1093/jamia/ocy130 PMID:30445467

    > Crossref MedlineGoogle Scholar
  • Sen K., Prybutok G., & Prybutok V. (2021). The use of digital technology for social well-being reduces social isolation in older adults: A systematic review. SSM Population Health, 17, 101020. 10.1016/J.SSMPH.2021.101020 PMID:35024424

    > Crossref MedlineGoogle Scholar
  • Sepúlveda-Loyola W., Rodríguez-Sánchez I., Pérez-Rodríguez P., Ganz F., Torralba R., Oliveira D. V., & Rodríguez-Mañas L. (2020). Impact of social isolation due to COVID-19 on health in older people: Mental and physical effects and recommendations. The Journal of Nutrition, Health & Aging, 24(9), 938–947. 10.1007/s12603-020-1500-7 PMID:33155618

    > Crossref MedlineGoogle Scholar
  • Shahbazi M., Bagherian H., Sattari M., & Saghaeiannejad-Isfahani S. (2021). The opportunities and challenges of using mobile health in elderly self-care. Journal of Education and Health Promotion, 10(1), 80. 10.4103/jehp.jehp_871_20 PMID:34084827

    > Crossref MedlineGoogle Scholar
  • Turbe A., Golumbic Y., Farchi T., & De-Groot R. (2021). Investigating the potential of citizen science to respond to emerging challenges. A COVID-19 review and case study analysis. 10.5281/ZENODO.6034585

    > CrossrefGoogle Scholar
  • Wood G. E. R., Pykett J., Daw P., Agyapong-Badu S., Banchoff A., King A. C., & Stathi A. (2022). The role of urban environments in promoting active and healthy aging: A systematic scoping review of citizen science approaches. Journal of Urban Health, 99(3), 427–456. 10.1007/s11524-022-00622-w

    > Crossref MedlineGoogle Scholar
  • Zhou Z., & Zhou J. (2022). Small screen-big information challenge for older adults: A study on visual momentum and gesture navigation. Behavior & Information Technology. Advance online publication. 10.1080/0144929X.2022.2042385

    > CrossrefGoogle Scholar

We use cookies on this site to enhance your user experience. For a complete overview of all the cookies used, please see our privacy policy.

×