Contemporary Clinical Trials Communications (Apr 2024)

Support Through Remote Observation and Nutrition Guidance (STRONG), a digital health intervention to reduce malnutrition among pancreatic cancer patients: A study protocol for a pilot randomized controlled trial

  • Kea Turner,
  • Dae Won Kim,
  • Brian D. Gonzalez,
  • Laurence R. Gore,
  • Erin Gurd,
  • Jeanine Milano,
  • Diane Riccardi,
  • Margaret Byrne,
  • Mohammed Al-Jumayli,
  • Tiago Biachi de Castria,
  • Damian A. Laber,
  • Sarah Hoffe,
  • James Costello,
  • Edmondo Robinson,
  • Juskaran S. Chadha,
  • Sahana Rajasekhara,
  • Emma Hume,
  • Ryan Hagen,
  • Oliver T. Nguyen,
  • Nicole Nardella,
  • Nathan Parker,
  • Tiffany L. Carson,
  • Amir Alishahi Tabriz,
  • Pamela Hodul

Journal volume & issue
Vol. 38
p. 101271

Abstract

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Background: Malnutrition is a common and distressing condition among pancreatic cancer patients. Fewer than a quarter of pancreatic cancer patients receive medical nutrition therapy (MNT), important for improving nutritional status, weight maintenance, quality of life and survival. System, provider, and patient level barriers limit access to MNT. We propose to examine the feasibility of a 12-week multi-level, digital health intervention designed to expand MNT access among pancreatic cancer patients. Methods: Individuals with advanced pancreatic cancer starting chemotherapy (N = 80) will be 1:1 randomized to the intervention or usual care. The Support Through Remote Observation and Nutrition Guidance (STRONG) intervention includes system-level (e.g., routine malnutrition and screening), provider-level (e.g., dietitian training and web-based dashboard), and patient-level strategies (e.g., individualized nutrition plan, self-monitoring of dietary intake via Fitbit, ongoing goal monitoring and feedback). Individuals receiving usual care will be referred to dietitians based on their oncologists’ discretion. Study assessments will be completed at baseline, 4-, 8-, 12-, and 16-weeks. Results: Primary outcomes will be feasibility (e.g., recruitment, retention, assessment completion) and acceptability. We will collect additional implementation outcomes, such as intervention adherence, perceived usability, and feedback on intervention quality via an exit interview. We will collect preliminary data on outcomes that may be associated with the intervention including malnutrition, quality of life, treatment outcomes, and survival. Conclusion: This study will advance our knowledge on the feasibility of a digital health intervention to reduce malnutrition among individuals with advanced pancreatic cancer. Trial registration: NCT05675059, registered on December 9, 2022.

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