Recruitment in Appalachian, Rural and Older Adult Populations in an Artificial Intelligence World: Study Using Human-Mediated Follow-Up.
Tabitha MillikenDonielle BeilerSamantha HoffmanAshlee OlenginskiVanessa TroianiPublished in: JMIR formative research (2024)
Results indicate that a web-based recruitment method with participant follow-up, such as a phone call and email follow-up, increases enrollment numbers more than web-based methods alone for rural, Appalachian, and older populations. Adding a humanizing component, such as a live person phone call, may be a key element needed to establish trust and encourage patients from underserved and rural areas to enroll in studies via web-based recruitment methods. Supporting statistics on this recruitment strategy should help researchers identify whether this strategy may be useful in future studies and HTR populations.
Keyphrases
- artificial intelligence
- machine learning
- south africa
- end stage renal disease
- big data
- deep learning
- physical activity
- endothelial cells
- newly diagnosed
- ejection fraction
- chronic kidney disease
- community dwelling
- middle aged
- case control
- genetic diversity
- prognostic factors
- patient reported outcomes
- young adults
- patient reported