Perceived Sensitivity of Sensor-Based Digital Health Data: Qualitative Interview Study

Christine Deeney, Anika Sonig, Meghan E Hurley, Birkan Tunç, Eric A Storch, John D Herrington, Jennifer Blumenthal-Barby, Kristin Kostick-Quenet

Open source

DOI
10.2196/78788
Published
2026-07-08
Container
JMIR mHealth and uHealth
Publisher
JMIR Publications Inc.
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.2196/78788,
  title = {Perceived Sensitivity of Sensor-Based Digital Health Data: Qualitative Interview Study},
  author = {Christine Deeney and Anika Sonig and Meghan E Hurley and Birkan Tunç and Eric A Storch and John D Herrington and Jennifer Blumenthal-Barby and Kristin Kostick-Quenet},
  year = {2026},
  journal = {JMIR mHealth and uHealth},
  doi = {10.2196/78788},
  url = {https://doi.org/10.2196/78788}
}

RIS

TY  - JOUR
TI  - Perceived Sensitivity of Sensor-Based Digital Health Data: Qualitative Interview Study
AU  - Christine Deeney
AU  - Anika Sonig
AU  - Meghan E Hurley
AU  - Birkan Tunç
AU  - Eric A Storch
AU  - John D Herrington
AU  - Jennifer Blumenthal-Barby
AU  - Kristin Kostick-Quenet
PY  - 2026
JO  - JMIR mHealth and uHealth
DO  - 10.2196/78788
UR  - https://doi.org/10.2196/78788
ER  - 

APA

Deeney, C., Sonig, A., Hurley, M. E., Tunç, B., Storch, E. A., Herrington, J. D., Blumenthal-Barby, J., & Kostick-Quenet, K. (2026). Perceived Sensitivity of Sensor-Based Digital Health Data: Qualitative Interview Study. JMIR mHealth and uHealth. https://doi.org/10.2196/78788

Source records