English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

Digital technologies such as smartphones are transforming the way scientistsconduct biomedical research using real-world data. Several remotely-conductedstudies have recruited thousands of participants over a span of a few months.Unfortunately, these studies are hampered by substantial participant attrition,calling into question the representativeness of the collected data includinggeneralizability of findings from these studies. We report the challenges inretention and recruitment in eight remote digital health studies comprisingover 100,000 participants who participated for more than 850,000 days,completing close to 3.5 million remote health evaluations. Survival modelingsurfaced several factors significantly associated(P < 1e-16) with increase inmedian retention time i) Clinician referral(increase of 40 days), ii) Effect ofcompensation (22 days), iii) Clinical conditions of interest to the study (7days) and iv) Older adults(4 days). Additionally, four distinct patterns ofdaily app usage behavior that were also associated(P < 1e-10) with participantdemographics were identified. Most studies were not able to recruit arepresentative sample, either demographically or regionally. Combined togetherthese findings can help inform recruitment and retention strategies to enableequitable participation of populations in future digital health research.

Indicators of retention in remote digital health studies: A cross-study evaluation of 100,000 participants