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Optimizing participation in digital health studies: understanding appointment attendance
Rebecca Schnall1, Hui Lin2, Maeve Brin1
1School of Nursing, Columbia University, New York, NY, 10032, United States.
Summary
Older women and those with histories of trauma or incarceration were more likely to miss digital health appointments. Appointment confirmation and strategic scheduling can improve attendance in online research.
Area of Science:
- Digital health research
- Epidemiology
- HIV prevention
Background:
- The American Women Assessing Risk Epidemiologically (AWARE) study is a 24-month longitudinal digital cohort examining HIV seroconversion risk in cisgender women.
- Understanding factors influencing attendance in digital health research is crucial for participant retention and study efficiency.
Purpose of the Study:
- To investigate associations between attendance at online digital health research appointments and participant age, scheduling factors, appointment confirmation, and HIV behavioral risk factors.
- To identify barriers to digital health research participation among cisgender women.
Main Methods:
- Analysis of scheduling and eligibility screening data from the AWARE study.
- Merging participant demographic, behavioral, and scheduling data (Outlook calendar).
- Utilizing chi-square tests and logistic regression to assess attendance associations.
Main Results:
- Women aged 50 years and older had higher no-show rates compared to younger women (44.7% vs 32.3%).
- Specific appointment times (8:00 am, 2:00 pm, 4:00 pm) and lower attendance on Fridays were observed.
- Appointment confirmation 24 hours in advance significantly reduced no-shows (19.0% vs 51.6%).
- Higher no-show rates were associated with histories of physical harm, forced sexual activity, and incarceration.
Conclusions:
- Participant age, scheduling logistics, and structural vulnerabilities significantly impact attendance in digital health research.
- Integrating digital access support and optimizing study design can mitigate disparities and enhance research efficiency and retention.

