Publications by authors named "Mackenzie Wildman"
Background: Wearable digital health technologies and mobile apps (personal digital health technologies [DHTs]) hold great promise for transforming health research and care. However, engagement in personal DHT research is poor.
Objective: The objective of this paper is to describe how participant engagement techniques and different study designs affect participant adherence, retention, and overall engagement in research involving personal DHTs.
Article Synopsis
- - The study contrasts traditional app-based research methods by adopting a participant-centric approach that includes more intensive engagement through high-friction tasks and the use of wearable sensors to collect data on stress and health symptoms.
- - Conducted between May and November 2020 with 365 US frontline healthcare workers, the study demonstrated high retention and data adherence rates, with over 81% of participants completing the study over four months.
- - The findings suggest that building trust and offering support can enhance participant engagement in digital health studies, as evidenced by a high daily engagement with both the app and wearable technology.
We present a novel longitudinal multimodal corpus of physiological and behavioral data collected from direct clinical providers in a hospital workplace. We designed the study to investigate the use of off-the-shelf wearable and environmental sensors to understand individual-specific constructs such as job performance, interpersonal interaction, and well-being of hospital workers over time in their natural day-to-day job settings. We collected behavioral and physiological data from n = 212 participants through Internet-of-Things Bluetooth data hubs, wearable sensors (including a wristband, a biometrics-tracking garment, a smartphone, and an audio-feature recorder), together with a battery of surveys to assess personality traits, behavioral states, job performance, and well-being over time.
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