Clinical trial · Interventional
Development and Testing of Nutritional Algorithms (NACHO)
Development and Usability Testing of Nutrition Algorithms for Cancer Health Outcomes (NACHO) and Quality of Life During Cancer Treatment
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The goal of this research study is to develop a nutrition algorithm to optimize nutritional status and improve quality of life during for participants who are completing or have completed cancer treatment. The name of the intervention used in this research study is: Nutrition Algorithm for Cancer Health Outcomes (NACHO) (a technology-based platform that houses the algorithms for the person-centered nutrition program)
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Nutritional Deficiency | — | UNRESOLVED | — |
| Nutrition Poor | — | UNRESOLVED | — |
| Quality of Life | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Nutrition Algorithm | Behavioral | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- Nutrition Algorithm (NACHO)
- description
- Study procedures will be conducted as follows: * Development of nutrition algorithm by dietitian panel participants with oncology clinician consultation via convened group meetings. * Refinement of draft algorithms through feedback from participants and Family Advisory Council (PFAC) members. * Baseline questionnaires for participants. * Semi-structured interviews and/or focus groups with participants to evaluate algorithm usability and acceptability. * Participant questionnaires.
- interventionNames
- Behavioral: Nutrition Algorithm
Primary outcomes (1)
- measure
- Nutrition Algorithm
- timeFrame
- 12 months
- description
- 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.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria for Dietitians/Oncology clinicians - Have worked with at least 3 patients at the study site who had nutritional challenges Inclusion Criteria for Patient and Family Advisory Council (PFAC) participants * Current member of adult PFAC * \> 18 years old Inclusion Criteria for Patient participants * \> 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 Exclusion Criteria for Patient Participants • Provider does not recommend
References
Publications (0)
Data not yet available