NACHO: Improving Nutrition After Cancer Treatment

This study is developing and testing a special tool called the Nutrition Algorithm for Cancer Health Outcomes (NACHO). NACHO is a technology platform designed to help people who have completed cancer treatment improve their nutrition and quality of life. It provides personalized food and recipe suggestions from dietitians. We are looking for adults over 18 who have finished their primary cancer treatment and can speak and read English. The main goal is to see how well NACHO works to improve nutrition after 12 months. The current recruitment status is unclear, but about 130 people are expected to participate.

Study design
This is a pilot study to develop a nutrition algorithm, involving about 130 participants. It uses a mixed-methods approach, meaning it combines different research methods.
What's involved
Participation involves screening, interviews or focus groups, and surveys. The study is expected to last about 12 months.
Compensation
Not stated in the trial record.
Follow-up
The primary endpoint is measured at 12 months, suggesting follow-up for at least that duration.

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NCT05825469

Development and Testing of Nutritional Algorithms (NACHO)

Not Yet Recruiting
NAAges 18+InterventionalSupportive care
Dana-Farber Cancer Institute
~130 participants
Updated 2026-02-06 on ClinicalTrials.gov
What's tested:Nutrition Algorithm

At a glance

Recruiting sites
0 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Nutrition Algorithm
Measured over 12 months
Nutrition Poor
Nutritional Deficiency
Quality of Life
1 sites across 1 states
Massachusetts1
  • Marilyn Hammer, MD · PRINCIPAL_INVESTIGATOR · Dana-Farber Cancer Institute

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Eligibility criteria

Inclusion

Current member of adult PFAC
\> 18 years old
\> 18 years old
Able to speak and read English
Completed primary treatment (aim 2b) or actively undergoing treatment (aim 2b and aim 3, exploratory)
Access to a device (e.g., computer, tablet, smartphone) through which they can receive and engage with a REDCap link
  • Nutrition Algorithm12 months

    Primary study endpoint is development of a nutrition algorithm using the Cancer Nutrition Consortium (CNC) study findings and iteratively refine through an expert Dana-Farber Cancer Institute dietary panel along with consultations from oncology clinicians as needed and feedback from a panel of 4-6 Patient and Family Advisory Council (PFAC) members. Specific to data analyses, chi square, fisher's exact tests, and linear regression will be used to evaluate characteristics associated with changes in taste and different food preferences over time. Findings will inform the development of the algorithms.