Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Cancer

Date Submitted: Nov 8, 2025
Open Peer Review Period: Nov 10, 2025 - Jan 5, 2026
Date Accepted: Apr 30, 2026
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Predictors of Telehealth Use Among Cancer Survivors: Retrospective Study

Kaur J, Zhong J, Mitchell C, Zhang A, Wang Q, Hsu ML

Predictors of Telehealth Use Among Cancer Survivors: Retrospective Study

JMIR Cancer 2026;12:e87403

DOI: 10.2196/87403

PMID: 42397883

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Predictors Of Telehealth Use Among Cancer Survivors: Retrospective Study

  • Jasskiran Kaur; 
  • Jeffrey Zhong; 
  • Carley Mitchell; 
  • Annie Zhang; 
  • Qian Wang; 
  • Melinda L Hsu

ABSTRACT

Background:

As the number of cancer survivors continues to grow, optimizing long-term survivorship care models has become increasingly important. Telehealth has the potential to improve access to healthcare for survivors; however, studies evaluating telehealth in this population remain limited. Additionally, concerns persist regarding equity in technology access and digital literacy.

Objective:

This study aimed to examine demographic factors and patient attitudes influencing telehealth use among cancer survivors compared to the general population.

Methods:

Adult participants were identified from the nationally representative database Health Information National Trends Survey 6 (HINTS 6). Multivariate logistic regression was used to calculate the predictors of telehealth use among cancer survivors. Chi-square tests compared the prevalence of reported reasons of not using telehealth in the last 12 months between cancer survivors and the general population.

Results:

A total of 239,557,883 individuals were included in this study, 7.7% of whom are cancer survivors. Older age was associated with lower telehealth use (adjusted odds ratio [aOR]=0.11; 95% CI: 0.02–0.59 for patients aged ≥65, compared to those under 40 years old). Higher education (aOR=2.55; 95% CI: 1.24–5.27) and heart disease history (aOR=2.52; 95% CI: 1.20–5.28) were associated with increased telehealth use. Employed (aOR=0.46; 95%CI: 0.22-0.97) and retired (aOR=0.37; 95%CI: 0.18-0.77) cancer survivors were less likely to use telehealth than unemployed individuals. Of the non-users, over 60% reported that telehealth options were not offered, and 80% preferred in-person visits. Technical issues and privacy concerns were not major factors in utilizing telehealth.

Conclusions:

Despite greater telehealth use among cancer survivors, a negative association between older age and telemedicine utilization persists. Efforts should focus on improving access for older cancer survivors and addressing employment-related factors, patient attitudes, and telehealth availability. Future studies should explore personalized approaches to enhance cancer survivors’ healthcare experiences.


 Citation

Please cite as:

Kaur J, Zhong J, Mitchell C, Zhang A, Wang Q, Hsu ML

Predictors of Telehealth Use Among Cancer Survivors: Retrospective Study

JMIR Cancer 2026;12:e87403

DOI: 10.2196/87403

PMID: 42397883

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.