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| Name | Class |
|---|---|
| Cancer Nutrition Consortium Inc. | UNKNOWN |
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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)
This is a longitudinal, mixed-methods, pilot descriptive study to develop a nutrition algorithm for cancer patients based on the Cancer Nutrition Consortium (CNC) study findings and refined through a dietitian panel participants and from feedback from participants and Family Advisory Council (PFAC) members.
Research study procedures include screening for eligibility, interviews and/or focus groups, dietitian panel meetings, and surveys.
Participation in this study is expected to last about 12 months.
It is expected about 130 people will participate in this research study.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Nutrition Algorithm (NACHO) | Experimental | Study procedures will be conducted as follows:
|
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Nutrition Algorithm | Behavioral | A technology-based platform for a person-centered nutrition program, providing suggested foods and recipes from dietitians. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Nutrition Algorithm | 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. | 12 months |
| Measure | Description | Time Frame |
|---|---|---|
| Acceptability of Nutrition Algorithm for Cancer Health Outcomes (NACHO) Program | Assessed using the System Usability Scale (SUS), a 10-item instrument with scores that range from 0-100 with higher scores representing greater usability. Acceptability is defined as a SUS score of >70. | Up to 8 months |
| Participant Satisfaction |
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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
Inclusion Criteria for Patient participants
Exclusion Criteria for Patient Participants
• Provider does not recommend
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Marilyn Hammer, MD | Contact | 617-632-1909 | MarilynJ_Hammer@dfci.harvard.edu |
| Name | Affiliation | Role |
|---|---|---|
| Marilyn Hammer, MD | Dana-Farber Cancer Institute | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Dana Farber Cancer Institute | Boston | Massachusetts | 02115 | United States |
The Dana-Farber / Harvard Cancer Center encourages and supports the responsible and ethical sharing of data from clinical trials. De-identified participant data from the final research dataset used in the published manuscript may only be shared under the terms of a Data Use Agreement. Requests may be directed to: [contact information for Sponsor Investigator or designee]. The protocol and statistical analysis plan will be made available on Clinicaltrials.gov only as required by federal regulation or as a condition of awards and agreements supporting the research.
Data can be shared no earlier than 1 year following the date of publication
Contact the Belfer Office for Dana-Farber Innovations (BODFI) at innovation@dfci.harvard.edu
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Jan 29, 2025 | Feb 3, 2026 | Prot_SAP_001.pdf |
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| ID | Term |
|---|---|
| D044342 | Malnutrition |
| ID | Term |
|---|---|
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
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Assessed using the Acceptability e-Scale (AES), a six-item scale that measures how easy, enjoyable, understandable, and helpful the intervention is. Total scores range from 6-30 with higher scores representing greater acceptability. Acceptability is defined as a AES score of >24. |
| Up to 8 months |
| Panel member characteristics (Aims 1a, 1b, 2a, 2b) - Age | Age group (i.e., 18-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80+) | Up to 12 months |
| Panel member characteristics (Aims 1a, 1b, 2a, 2b) - Gender identity | Gender identity (i.e., female, male, other____, prefer not to answer) | Up to 12 months |
| Panel member characteristics (Aims 1a, 1b, 2a, 2b) - Ethnicity | Ethnicity (i.e., Hispanic/Latinx / non-Hispanic/non-Latinx, prefer not to answer) | Up to 12 months |
| Panel member characteristics (Aims 1a, 1b, 2a, 2b) - Race | Race (i.e., Black, Caucasian, Asian, Native American, Pacific Islander, Alaska Native, multiracial, prefer not to answer) | Up to 12 months |
| Panel member characteristics (Aims 1a, 1b, 2a, 2b) - Position | Position / role and years in position (non-patient panel members only) (fill in) | Up to 12 months |
| Characteristics of the cohort of 100 patients (Aim 3) - Age | Age group (i.e., 18-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80+) | Up to 12 months |
| Characteristics of the cohort of 100 patients (Aim 3) - Gender identity | Gender identity (i.e., female, male, other____, prefer not to answer) | Up to 12 months |
| Characteristics of the cohort of 100 patients (Aim 3) - ethnicity | Ethnicity (i.e., Hispanic/Latinx / non-Hispanic/non-Latinx, prefer not to answer) | Up to 12 months |
| Characteristics of the cohort of 100 patients (Aim 3) - race | Race (i.e., Black, Caucasian, Asian, Native American, Pacific Islander, Alaska Native, multiracial, prefer not to answer) | Up to 12 months |
| Characteristics of the cohort of 100 patients (Aim 3) - BMI | Body mass index will will be calculated from weight in pounds and height in inches using the formula: weight (lb) / [height (in)]squared x 703 | Up to 12 months |
| Characteristics of the cohort of 100 patients (Aim 3) - Comorbidities | Comorbidities: Number of comorbidities (e.g., heart disease, diabetes) will be abstracted from electronic health records | Up to 12 months |
| Global Health | PROMIS-10 Global Health Questionnaire v.1.2 is an NIH-developed, valid and reliable instrument that will be used to assess functional status and quality of life. Higher scores represent better health. Scores will be computed to identify global physical and mental health component scores. Participant patients will complete this assessment at baseline, 2 months, and 5 months (visits 1, 3, and 6, respectively). T-scores will be used in the analysis to identify characteristics associated with other participant patients at the same global health levels. Changes in T-scores over time will be compared with changes in BMI and associated with utilization of the nutrition algorithm. | Up to 12 months |
| Symptom Questions | Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAETM) will be used to collect data on the occurrence, severity, and level of interference with daily activities for sleep quality (i.e., insomnia), pain, fatigue, and depression (i.e., anxiety, discouraged, sad) at baseline, 2 months, and 5 months (respectively visits 1, 3, and 6). Higher scores will indicate worse symptom experiences. T-scores will be used in the analysis to identify characteristics associated with other participant patients at the same global health levels. Changes in T-scores over time will be compared with changes in BMI and associated with utilization of the nutrition algorithm. | Up to 12 months |