JMIR mHealth and uHealth (Dec 2019)

Lessons Learned: Recommendations For Implementing a Longitudinal Study Using Wearable and Environmental Sensors in a Health Care Organization

  • L'Hommedieu, Michelle,
  • L'Hommedieu, Justin,
  • Begay, Cynthia,
  • Schenone, Alison,
  • Dimitropoulou, Lida,
  • Margolin, Gayla,
  • Falk, Tiago,
  • Ferrara, Emilio,
  • Lerman, Kristina,
  • Narayanan, Shrikanth

DOI
https://doi.org/10.2196/13305
Journal volume & issue
Vol. 7, no. 12
p. e13305

Abstract

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Although traditional methods of data collection in naturalistic settings can shed light on constructs of interest to researchers, advances in sensor-based technology allow researchers to capture continuous physiological and behavioral data to provide a more comprehensive understanding of the constructs that are examined in a dynamic health care setting. This study gives examples for implementing technology-facilitated approaches and provides the following recommendations for conducting such longitudinal, sensor-based research, with both environmental and wearable sensors in a health care setting: pilot test sensors and software early and often; build trust with key stakeholders and with potential participants who may be wary of sensor-based data collection and concerned about privacy; generate excitement for novel, new technology during recruitment; monitor incoming sensor data to troubleshoot sensor issues; and consider the logistical constraints of sensor-based research. The study describes how these recommendations were successfully implemented by providing examples from a large-scale, longitudinal, sensor-based study of hospital employees at a large hospital in California. The knowledge gained from this study may be helpful to researchers interested in obtaining dynamic, longitudinal sensor data from both wearable and environmental sensors in a health care setting (eg, a hospital) to obtain a more comprehensive understanding of constructs of interest in an ecologically valid, secure, and efficient way.