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: Journal of Medical Internet Research

Date Submitted: Nov 10, 2025
Date Accepted: May 28, 2026

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

Designing for Autonomous Motivation: Qualitative Interview Study on Pre-Enrollment Preferences of Survivors of Cancer for Digital Health Behavior Change Programs

Jayeoba M, Sohn R, Weiss AL, Stanic A, Mazzetta R, Pham A, Scanlan LD, Garcia M, Sidhu A, Ho E, Garcia SF, Hitsman B, Phillips SM, Spring B, Jacobs M

Designing for Autonomous Motivation: Qualitative Interview Study on Pre-Enrollment Preferences of Survivors of Cancer for Digital Health Behavior Change Programs

J Med Internet Res 2026;28:e87514

DOI: 10.2196/87514

PMID: 42574348

PMCID: 13455853

Designing for Autonomous Motivation: A Qualitative Interview Study of Cancer Survivors' Pre-Enrollment Preferences for Digital Health Behavior Change Programs.

  • Monisola Jayeoba; 
  • Rachel Sohn; 
  • Abigail Louise Weiss; 
  • Anja Stanic; 
  • Rana Mazzetta; 
  • Alice Pham; 
  • Laura Danielle Scanlan; 
  • Mario Garcia; 
  • Armaan Sidhu; 
  • Elizabeth Ho; 
  • Sofia F Garcia; 
  • Brian Hitsman; 
  • Siobhan M Phillips; 
  • Bonnie Spring; 
  • Maia Jacobs

ABSTRACT

Background:

Despite elevated recurrence risks associated with modifiable lifestyle factors, many cancer survivors do not adhere to health promotion recommendations. Digital health interventions hold promise for supporting behavior change, but few studies involve survivors in intervention design, potentially limiting real-world effectiveness. Understanding cancer survivors' preferences and support needs is crucial for developing effective digital health behavior change interventions.

Objective:

To understand cancer survivors’ pre-enrollment perspectives on support needs and preferences regarding optimal treatment features in digital health behavior change interventions.

Methods:

We conducted in-depth semi-structured interviews with 16 cancer survivors who were contemplating participating in a multiple behavior change intervention pilot study. Participants were asked about their past experiences with behavior change and to envision ideal intervention features relative to their survivorship journey. This study followed an inductive thematic analysis framework, and findings were reported from a self-determination theory perspective. Six researchers were involved in the coding process to ensure analytical rigor.

Results:

The study identified four main themes about needs and preferences for digital behavior change interventions. These primarily mapped onto three psychological needs from Self-Determination Theory: (1) competence through technology-enabled tracking, skill development, and expert accessibility; (2) autonomy through personalized, flexible program design acknowledging existing knowledge; and (3) relatedness through human-centered systems featuring health promotionists and healthcare team integration. A fourth sub-theme emerged that highlights participants’ desire for integrated, comprehensive care systems that connected behavior change programs with broader healthcare ecosystems rather than functioning as standalone digital programs.

Conclusions:

The study identified four main themes about needs and preferences for digital behavior change interventions. These primarily mapped onto three psychological needs from Self-Determination Theory: (1) competence through technology-enabled tracking, skill development, and expert accessibility; (2) autonomy through personalized, flexible program design acknowledging existing knowledge; and (3) relatedness through human-centered systems featuring health promotionists and healthcare team integration. A fourth sub-theme emerged that highlights participants’ desire for integrated, comprehensive care systems that connected behavior change programs with broader healthcare ecosystems rather than functioning as standalone digital programs.


 Citation

Please cite as:

Jayeoba M, Sohn R, Weiss AL, Stanic A, Mazzetta R, Pham A, Scanlan LD, Garcia M, Sidhu A, Ho E, Garcia SF, Hitsman B, Phillips SM, Spring B, Jacobs M

Designing for Autonomous Motivation: Qualitative Interview Study on Pre-Enrollment Preferences of Survivors of Cancer for Digital Health Behavior Change Programs

J Med Internet Res 2026;28:e87514

DOI: 10.2196/87514

PMID: 42574348

PMCID: 13455853

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.