Unknown

Dataset Information

Real-world patterns in remote longitudinal study participation: A study of the Swiss Multiple Sclerosis Registry.


ABSTRACT: Remote longitudinal studies are on the rise and promise to increase reach and reduce participation barriers in chronic disease research. However, maintaining long-term retention in these studies remains challenging. Early identification of participants with different patterns of long-term retention offers the opportunity for tailored survey adaptations. Using data from the online arm of the Swiss Multiple Sclerosis Registry (SMSR), we assessed sociodemographic, health-related, and daily-life related baseline variables against measures of long-term retention in the follow-up surveys through multivariable logistic regressions and unsupervised clustering analyses. We further explored follow-up survey completion measures against survey requirements to inform future survey designs. Our analysis

SUBMITTER: Daniore P 

PROVIDER: S-EPMC11540223 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature