Comprehensive Outcomes for After Cancer Health (COACH): the Feasibility and Impact of an MHealth Augmented Coaching Program for Self-Management in Cancer Survivors
Summary
This study intends to explore feasibility, acceptability, and outcomes related to the use of a digital health coaching intervention for individuals who have completed primary therapy for cancer. Up to 625 individuals with diverse cancer diagnoses will be enrolled across up to 8 clinical sites to participate in a randomized wait-list control study. Those in the intervention group will receive 6 months of digital coaching up front followed by 6 months of ongoing monitoring via patient reported and clinical outcomes, as well as wearable data. Those in the control group will be monitored via patient reported and clinical outcomes as well as wearable data for the first 6 months followed by 6 months of digital health coaching. Both groups will collect fecal microbiome samples at enrollment and month 6. The study aims to explore if and how digital health coaching may be used to enhance outcomes for individuals following completion of primary cancer therapy.
Detailed description
Background: There are an estimated 16.9 million cancer survivors in the United States, accounting for approximately 5% of the entire US population, and this number is anticipated to increase by 31% over the next 10 years to include 22.2 million individuals.1 Due to advances in therapy individuals with cancer are experiencing increased overall survival that is often accompanied by the management of cancer as a chronic condition.2 As such many individuals require maintenance therapies that extend for months or years beyond the completion of primary therapy with surgery, radiation, and/or pharmacologic therapies. Chronic management of cancer care may include both long-term maintenance therapy as well as the management of treatment-related sequelae, the majority of which occurs beyond the clinical setting. Supportive care needs include symptom support, general wellness, and a focus on the importance of adherence to treatment and follow-up, all of which may influence quality and quantity of life. Accordingly, there is a critical and growing need for comprehensive, accessible platforms to support survivor self-management of symptoms and general wellness (including physical, functional, and psychosocial well-being and healthcare adherence). There is furthermore a critical knowledge gap on the correlation between individual symptoms and wellness on novel biomarkers, specifically intestinal (gut) microbiome. Gut microbiome regulates critical physiological processes-digestion, mood, and overall immune health, but to date studies have focused on dysbiosis during cancer treatment. The investigators seek to explore dynamics of gut microbiota after cancer treatment and understand how health behavioral changes prompted by health coaching to modulate symptoms and physical/ psychosocial well-being may also positively influence the restoration of gut flora. Aims: The objective of this randomized, wait-list control study is to assess the effect of a 6-month digital health coaching program in cancer survivors within 1 year of primary treatment and longitudinally measure its impact on multifaceted health outcomes. The investigators aim to: 1) Primarily, assess the feasibility, acceptability, and effect of digital health coaching on participants' health self-efficacy; 2) Secondarily, characterize associations between participant symptoms, physical/psychosocial well-being, and health self-management and gut microbiota changes; and 3) Explore patient-generated health data outcomes among participants (patient-reported \[PROs\] and wearable biometrics outcomes). Methods: The proposed study will utilize a randomized-wait list control design to enroll up to 625 individuals with diverse tumor types who have completed primary treatment and are within 1 year of diagnosis. Each of up to 8 collaborating sites will enroll up to 100 participants. Participants will be enrolled in a 6-month digital health coaching program that combines person-to-person calls once weekly, accompanied by up to 4 digital nudges of evidence-based content via text, email and/or mobile application, based on the participant's preference. Content will focus on key topics designed to optimize survivorship outcomes, including management of late and long-term effects of therapy, diet and exercise, fatigue, financial toxicity, and other associated symptoms (e.g., sleep disturbance, depression), medication adherence, surveillance, and managing anxiety and fear of cancer recurrence. The program emphasizes targeting modifiable behaviors that can improve quality of life and health outcomes, including progression-free and overall survival. Those randomized to the intervention group will receive the 6-month coaching intervention up front followed by 6 months of on-going clinical, patient reported, activity, and microbiome data collection. Those randomized to the control will receive 6-months of clinical, patient reported, activity, and microbiome data collection, after which they will be randomized to the digital health coaching intervention. Outcome Measures: All participants will be followed for 12-months during which time they will be provided with Fitbit devices to track engagement in physical activity. Microbiome samples will be collected at enrollment and 6 months to explore biomarkers of inflammation, which will be analyzed to examine associations between microbiota signatures and engagement in physical activity and PROs. Genomic bacterial DNA will be extracted and analyzed for any taxonomic changes in the microbiota diversity and composition with 16s rRNA sequencing. Microbiome analysis will be conducted in partnership with The National Institute of Nursing Research (NINR). PROs will be collected at baseline and months 3, 6, 9, and 12 to track progress during and following the program and to provide insights into the experience of quality of life, symptom burden, mental health, cognitive function, sleep quality, sexual health, and financial toxicity. Rationale: This program seeks to address survivors' total well-being, including co-morbid conditions, psychosocial wellness, and healthy lifestyle behaviors, to enhance outcomes for individuals who have completed primary therapy for a cancer diagnosis. The approach is innovative in exploring how digital health coaching may be used to support the holistic needs of cancer survivors beyond the clinical care setting. The robust collection of patient-reported, wearable, biomarker, and clinical data, as well as qualitative data related to patient priorities, concerns and challenges in the context of Health Coaching, will allow for triangulation of data to comprehensively inform the experience of individuals following primary therapy as they manage their health in the community setting.
Arms & interventions
- BehavioralDigital Health Coaching Program
Coaching consisting of weekly calls and delivery of evidence-based content across health and wellness domains (e.g. nutrition, exercise, physical, emotional and financial health) up to 4 times weekly via text, email or mobile application.
- DeviceFitbit
Device: Fitbit A wrist-worn activity tracker allowing for the capture of physical activity, including but not limited to step-count and minutes of activity, to be captured daily.
Outcome measures
Primary
Acceptability of coaching intervention
A 3-item questionnaire evaluating the following: 1) The digital health coaching program is easy to participate in; 2) the digital health coaching program is useful to me; 3) the digital health coaching program is relevant to my survivorship experience. Responses will be provided on a 10-point Likert scale ranging from 1 (Not at all) to 10 (Very Much).
Time frame: At 6 months following the start of the coaching intervention
Feasibility of coaching intervention
A retention rate greater than or equal to 70%. Retention is defined as individuals who agree to participate in the digital health coaching program completing the 6-months of engagement post-enrollment.
Time frame: At 6 months following the start of the coaching intervention
Change in Self-Efficacy for Managing Chronic Disease
A 6-item instrument measures how confident an individual is in engaging in certain health management activities. Responses are provided on a 10-point scale ranging from 1(not at all confident) to 10 (totally confident). A mean score is calculated for the instrument with a higher score indicating higher self-efficacy.
Time frame: Change in baseline perception of self-efficacy at 12 months
Secondary
Change in the National Institutes of Health (NIH) Patient Reported Outcomes Measurement Information System (PROMIS) Short Form v2.0 Physical Function 10a
Time frame: Change in baseline perception of physical function at 12 months
Change in Quality of Life as measured by The Functional Assessment of Cancer Therapy - General v4 (FACT-G)
Time frame: Change in baseline perception of quality of life at 12 months
Change in Anxiety as measured by the PROMIS Anxiety Short Form 8a
Time frame: Change in baseline perception of anxiety at 12 months
Change in Depression as measured by the PROMIS Depression Short Form 8a
Time frame: Change in baseline perception of depression at 12 months
Change in Cognitive Function as measured by the PROMIS Cognitive Function Short Form 8a
Time frame: Change in baseline perception of cognitive impairment at 12 months
Change in Sleep-related Impairment as measured by the PROMIS Sleep related Impairment Short Form 8a
Time frame: Change in baseline perception of cognitive impairment at 12 months
Change in the PROMIS Brief Sexual Function & Satisfaction Measure Male
Time frame: Change in baseline perception of sexual function and satisfaction at 12 months among male participants
Change in the PROMIS Brief Sexual Function & Satisfaction Measure Female
Time frame: Change in baseline perception of sexual function and satisfaction at 12 months among female participants
Change in The Comprehensive Score for Financial Toxicity (COST)
Time frame: Change in baseline perception of financial toxicity at 12 months
Change in Economic Strain and Resilience in Cancer (ENRICh)
Time frame: Change in baseline perception of financial toxicity at 12 months
Change in symptom burden as measured by the Edmonton Symptom Assessment System-Revised (ESAS-R)
Time frame: Change in baseline perception of symptom burden at 12 months
Eligibility criteria
Study locations (7)
The University of Florida
Gainesville, Florida, 32610
Dana Farber Cancer Institute
Boston, Massachusetts, 02215
University of Nebraska Medical Center
Omaha, Nebraska, 68106
Memorial Sloan Kettering Cancer Center
New York, New York, 10065
The Ohio State University Wexner Medical Center
Columbus, Ohio, 43210
The University of Texas MD Anderson Cancer Center
Houston, Texas, 77030
UT Health Houston
Houston, Texas, 77030
References
- Lorig KR, Sobel DS, Ritter PL, Laurent D, Hobbs M. Effect of a self-management program on patients with chronic disease. Eff Clin Pract. 2001 Nov-Dec;4(6):256-62.(PubMed)
- McCorkle R, Ercolano E, Lazenby M, Schulman-Green D, Schilling LS, Lorig K, Wagner EH. Self-management: Enabling and empowering patients living with cancer as a chronic illness. CA Cancer J Clin. 2011 Jan-Feb;61(1):50-62. doi: 10.3322/caac.20093. Epub 2011 Jan 4.(PubMed)
- Ritter PL, Lorig K. The English and Spanish Self-Efficacy to Manage Chronic Disease Scale measures were validated using multiple studies. J Clin Epidemiol. 2014 Nov;67(11):1265-73. doi: 10.1016/j.jclinepi.2014.06.009. Epub 2014 Aug 3.(PubMed)
- Jensen RE, Potosky AL, Reeve BB, Hahn E, Cella D, Fries J, Smith AW, Keegan TH, Wu XC, Paddock L, Moinpour CM. Validation of the PROMIS physical function measures in a diverse US population-based cohort of cancer patients. Qual Life Res. 2015 Oct;24(10):2333-44. doi: 10.1007/s11136-015-0992-9. Epub 2015 May 3.(PubMed)
- Yellen SB, Cella DF, Webster K, Blendowski C, Kaplan E. Measuring fatigue and other anemia-related symptoms with the Functional Assessment of Cancer Therapy (FACT) measurement system. J Pain Symptom Manage. 1997 Feb;13(2):63-74. doi: 10.1016/s0885-3924(96)00274-6.(PubMed)
- Brady MJ, Cella DF, Mo F, Bonomi AE, Tulsky DS, Lloyd SR, Deasy S, Cobleigh M, Shiomoto G. Reliability and validity of the Functional Assessment of Cancer Therapy-Breast quality-of-life instrument. J Clin Oncol. 1997 Mar;15(3):974-86. doi: 10.1200/JCO.1997.15.3.974.(PubMed)
- Basen-Engquist K, Bodurka-Bevers D, Fitzgerald MA, Webster K, Cella D, Hu S, Gershenson DM. Reliability and validity of the functional assessment of cancer therapy-ovarian. J Clin Oncol. 2001 Mar 15;19(6):1809-17. doi: 10.1200/JCO.2001.19.6.1809.(PubMed)
- Garland SN, Pelletier G, Lawe A, Biagioni BJ, Easaw J, Eliasziw M, Cella D, Bathe OF. Prospective evaluation of the reliability, validity, and minimally important difference of the functional assessment of cancer therapy-gastric (FACT-Ga) quality-of-life instrument. Cancer. 2011 Mar 15;117(6):1302-12. doi: 10.1002/cncr.25556. Epub 2010 Oct 19.(PubMed)
- Clover K, Lambert SD, Oldmeadow C, Britton B, King MT, Mitchell AJ, Carter G. PROMIS depression measures perform similarly to legacy measures relative to a structured diagnostic interview for depression in cancer patients. Qual Life Res. 2018 May;27(5):1357-1367. doi: 10.1007/s11136-018-1803-x. Epub 2018 Feb 8.(PubMed)
- Jensen RE, Moinpour CM, Potosky AL, Lobo T, Hahn EA, Hays RD, Cella D, Smith AW, Wu XC, Keegan TH, Paddock LE, Stroup AM, Eton DT. Responsiveness of 8 Patient-Reported Outcomes Measurement Information System (PROMIS) measures in a large, community-based cancer study cohort. Cancer. 2017 Jan 1;123(2):327-335. doi: 10.1002/cncr.30354. Epub 2016 Oct 3.(PubMed)
- Schalet BD, Pilkonis PA, Yu L, Dodds N, Johnston KL, Yount S, Riley W, Cella D. Clinical validity of PROMIS Depression, Anxiety, and Anger across diverse clinical samples. J Clin Epidemiol. 2016 May;73:119-27. doi: 10.1016/j.jclinepi.2015.08.036. Epub 2016 Feb 27.(PubMed)
- Valentine TR, Weiss DM, Jones JA, Andersen BL. Construct validity of PROMIS(R) Cognitive Function in cancer patients and noncancer controls. Health Psychol. 2019 May;38(5):351-358. doi: 10.1037/hea0000693.(PubMed)
- Iverson GL, Marsh JM, Connors EJ, Terry DP. Normative Reference Values, Reliability, and Item-Level Symptom Endorsement for the PROMIS(R) v2.0 Cognitive Function-Short Forms 4a, 6a and 8a. Arch Clin Neuropsychol. 2021 Oct 13;36(7):1341-1349. doi: 10.1093/arclin/acaa128.(PubMed)
- Jerath R, Cearley SM, Jensen M. Widespread membrane potential changes and cardiorespiratory synchronization involved in anxiety and sleep-wake transitions. J Biol Regul Homeost Agents. 2016 Oct-Dec;30(4):935-944.(PubMed)
- Yu L, Buysse DJ, Germain A, Moul DE, Stover A, Dodds NE, Johnston KL, Pilkonis PA. Development of short forms from the PROMIS sleep disturbance and Sleep-Related Impairment item banks. Behav Sleep Med. 2011 Dec 28;10(1):6-24. doi: 10.1080/15402002.2012.636266.(PubMed)