Nutritional Deficiency, Nutrition Poor, Quality of Life
Conditions
Keywords
Poor Nutrition, Nutritional Deficiency, Quality of Life
Brief summary
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)
Detailed description
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.
Interventions
BEHAVIORALNutrition Algorithm
A technology-based platform for a person-centered nutrition program, providing suggested foods and recipes from dietitians.
Sponsors
Dana-Farber Cancer Institute
Cancer Nutrition Consortium Inc.
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SUPPORTIVE_CARE
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Nutrition Algorithm | 12 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. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Acceptability of Nutrition Algorithm for Cancer Health Outcomes (NACHO) Program | Up to 8 months | 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. |
| Participant Satisfaction | Up to 8 months | 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. |
| Panel member characteristics (Aims 1a, 1b, 2a, 2b) - Age | Up to 12 months | Age group (i.e., 18-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80+) |
| Panel member characteristics (Aims 1a, 1b, 2a, 2b) - Gender identity | Up to 12 months | Gender identity (i.e., female, male, other\_\_\_\_, prefer not to answer) |
| Panel member characteristics (Aims 1a, 1b, 2a, 2b) - Ethnicity | Up to 12 months | Ethnicity (i.e., Hispanic/Latinx / non-Hispanic/non-Latinx, prefer not to answer) |
| Panel member characteristics (Aims 1a, 1b, 2a, 2b) - Race | Up to 12 months | Race (i.e., Black, Caucasian, Asian, Native American, Pacific Islander, Alaska Native, multiracial, prefer not to answer) |
| Panel member characteristics (Aims 1a, 1b, 2a, 2b) - Position | Up to 12 months | Position / role and years in position (non-patient panel members only) (fill in) |
| Characteristics of the cohort of 100 patients (Aim 3) - Age | Up to 12 months | Age group (i.e., 18-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80+) |
| Characteristics of the cohort of 100 patients (Aim 3) - Gender identity | Up to 12 months | Gender identity (i.e., female, male, other\_\_\_\_, prefer not to answer) |
| Characteristics of the cohort of 100 patients (Aim 3) - ethnicity | Up to 12 months | Ethnicity (i.e., Hispanic/Latinx / non-Hispanic/non-Latinx, prefer not to answer) |
| Characteristics of the cohort of 100 patients (Aim 3) - race | Up to 12 months | Race (i.e., Black, Caucasian, Asian, Native American, Pacific Islander, Alaska Native, multiracial, prefer not to answer) |
| Characteristics of the cohort of 100 patients (Aim 3) - BMI | Up to 12 months | 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 |
| Characteristics of the cohort of 100 patients (Aim 3) - Comorbidities | Up to 12 months | Comorbidities: Number of comorbidities (e.g., heart disease, diabetes) will be abstracted from electronic health records |
| Global Health | Up to 12 months | 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. |
| Symptom Questions | Up to 12 months | 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. |
Countries
United States
Contacts
CONTACTMarilyn Hammer, MD
PRINCIPAL_INVESTIGATORMarilyn Hammer, MD
Dana-Farber Cancer Institute
Outcome results
None listed