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Feasibility and acceptability of collecting passive phone usage and sensor data via Apple SensorKit

Funk, C.; Zhao, Z.; Horwitz, A. G.; Pereira-Lima, K.; Kheterpal, V.; Sen, S.; Frank, E.

2025-02-07 medical education
10.1101/2025.02.06.25321806 medRxiv
Show abstract

Privacy is a growing concern in mobile health research, particularly regarding passive data. Apple SensorKit provides a novel platform for collecting phone and wearable usage and sensor data, however the acceptability and feasibility of collecting these sensitive data to research subjects remains unknown. We piloted the SensorKit platform with a large sample of first-year U.S. medical residents as part of the longitudinal Intern Health Study. Findings demonstrate that successful enrollment and retention rates can be achieved in a longitudinal e-Cohort study that collects SensorKit data, however lower opt-in rates among racial minorities suggest the need for further evaluation of the equity implications around specific data types in mobile health research.

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