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.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Development and Testing of Nutritional Algorithms (NACHO)
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Marilyn Hammer, MD · PRINCIPAL_INVESTIGATOR · Dana-Farber Cancer Institute
Who to contact
Opens a ready-to-send draft in your own email app — review before sending.
Do you actually qualify for this trial?
Add a private profile and we'll compare every criterion below against your situation — and tell you which ones are met, uncertain, or excluding.
Inclusion
What this trial measures
- 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.