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Related Experiment Video

Updated: Apr 3, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

Mobile Health Technology Ownership and Use Among Cancer Survivors in a Health System.

Shirlene D Wang¹, Jing Song¹, Julia Pincever¹

¹Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

Cancer Reports (Hoboken, N.J.)

|April 2, 2026

Summary

Many cancer survivors use mobile health technology, but adoption varies by demographics. Understanding these patterns is key to integrating mHealth tools for better cancer survivorship care.

Keywords:

cancer survivors data sharing digital health adoption physical activity

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Published on: March 14, 2017

Area of Science:

Oncology
Digital Health
Public Health

Background:

Physical activity (PA) improves cancer survivor (CS) outcomes, yet participation is low.
Mobile health (mHealth) offers strategies to increase PA among CS.
CS's mHealth adoption and data-sharing willingness remain underexplored.

Purpose of the Study:

Examine mHealth technology ownership and usage in CS.
Assess CS's willingness to share wearable data with healthcare providers.
Identify demographic and health correlates of mHealth adoption and data sharing.

Main Methods:

Surveyed 518 post-treatment CS on mHealth usage and data sharing.
Collected demographic and disease characteristics.
Used logistic regression to analyze associations with PA guidelines, tracker ownership, app usage, and data sharing willingness.

Main Results:

97.5% of CS owned smartphones; 52.9% owned activity trackers; 32.4% used lifestyle apps.
64.3% of CS were willing to share wearable data with providers.
Higher education, income, meeting PA guidelines, and obesity correlated with tracker ownership; younger age and full-time employment correlated with app usage.

Conclusions:

Many CS are open to mHealth technologies, indicating potential for survivorship care.
Demographic disparities in adoption and data sharing require targeted, inclusive strategies.
Understanding mHealth adoption is crucial for optimizing its role in improving long-term cancer outcomes.