- ICH GCP
- Registro degli studi clinici negli Stati Uniti
- Sperimentazione clinica NCT07575685
Enhancing Cancer Care: RestoreMe App for Personalized Nutrition and Activity in Cancer Patients (RestoreMe)
Enhancing Cancer Care: RestoreMe Application for Personalized Nutrition and Activity in Cancer Patients
Panoramica dello studio
Stato
Intervento / Trattamento
Descrizione dettagliata
Building on user experience data from the first version of the application, the investigators have enhanced the "RestoreMe" appl to offer an even more refined experience. The updated version incorporates valuable feedback, resulting in improved functionality, more personalized features, and a more intuitive design. It also allows for connectivity to Bluetooth devices and Apple health integration to obtain weight, blood pressure, heart rate, temperature, and step counts. It features customized questionnaires [Patient Reported Outcomes (PROs)] and relevant patient information including Body Mass Index, cancer diagnosis/treatment, and preferences/restrictions to evaluate nutritional status and provide personalized and curated recommendations regarding nutrition (calorie requirements, superfoods, weekly meal plans, shopping lists, supplements), hydration, physical activity and disease education/navigation.
The investigators believe that collection of patient-generated health data, which includes physical activity metrics, physiologic data (e.g., heart rate), and PROs and their integration with symptom reporting and nutritional assessments will significantly enhance the RestoreMe® app enabling it to provide tailored diet, hydration and activity recommendations, robust personalized learning section (disease specific and curated), provide remote symptom and activity monitoring, and promote self-management (through goals and progress). The implementation of RestoreMe® in diverse populations, such as those in the Bronx, has the potential to significantly improve cancer care outcomes. These populations often face additional barriers, including language and cultural differences, that further complicate nutritional management. Multi-language translation, food preferences/restrictions, caregiver engagement and easy-to-use features are built in RestoreMe® to address these barriers.
The investigators expect that most study participants will be enrolled during their visits. At the time of study enrollment, subjects will be provided with access to the RestoreMe app and the devices listed below. Participants will receive a written guide as well as training on device use. Of note, these devices will be provided with no cost to study participants. These devices (with the exception of Garmin Vivofits, which participants can keep and use as long as they wish) will be returned at the time of study completion, either during an in-person clinic visit or using pre-packaged shipping materials.
- Garmin Vivofits
- iHealth Fit Nexus HS2S Weighing scale
- iHealth Track KN550BT blood pressure monitor
Tipo di studio
Iscrizione (Stimato)
Fase
- Non applicabile
Contatti e Sedi
Contatto studio
- Nome: Rafi Kabarriti, MD
- Numero di telefono: 7184302000
- Email: rkabarri@montefiore.org
Backup dei contatti dello studio
- Nome: Akash Shah
- Numero di telefono: 7184302000
- Email: ashah1@montefiore.org
Criteri di partecipazione
Criteri di ammissibilità
Età idonea allo studio
- Adulto
- Adulto più anziano
Accetta volontari sani
Descrizione
Inclusion Criteria:
- Age > 18
- Planned to receive, or have received, cancer treatments including radiation therapy, chemotherapy, immunotherapy, or surgery
- Must have a smartphone or other device with the ability to receive text messages, download and use mobile applications.
- Ability to read and write English
- Provide written informed consent to participate in the study.
- Concurrent enrollment on other trials is permitted.
Exclusion Criteria:
- Poorly controlled diabetes (defined as fasting glucose level > 200 mg/dL despite attempts to improve glucose control by fasting duration and adjustment of medications).
- Any medical condition requiring fluid restriction or nutrient restrictions.
Piano di studio
Come è strutturato lo studio?
Dettagli di progettazione
- Scopo principale: Terapia di supporto
- Assegnazione: N / A
- Modello interventistico: Assegnazione di gruppo singolo
- Mascheramento: Nessuno (etichetta aperta)
Armi e interventi
Gruppo di partecipanti / Arm |
Intervento / Trattamento |
|---|---|
|
Sperimentale: Intervention
RestoreMe mobile phone application for cancer patients undergoing active cancer therapy or in follow-up/survivorship care
|
RestoreMe mobile device application
|
Cosa sta misurando lo studio?
Misure di risultato primarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
|---|---|---|
|
User satisfaction of RestoreMe application
Lasso di tempo: Every 4 weeks after enrollment until 12 months after study entry
|
To evaluate user satisfaction of RestoreMe app in delivering ongoing nutritional education and personalized dietary recommendations for cancer patients undergoing active cancer therapy or in follow-up/survivorship care as measured by the Technology Acceptability Survey.
The overall satisfaction score at 4 weeks will be calculated from adding the scores of 10 individual scorable items (Score range: 10-50) on the Technology Acceptability Survey.
The overall score of 3 or below is considered satisfactory.
To estimate the mean overall score, we will calculate 95% t-confidence interval.
As secondary analyses, we will calculate the confidence intervals for different time points and for individual items.
|
Every 4 weeks after enrollment until 12 months after study entry
|
Misure di risultato secondarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
|---|---|---|
|
Feasibility of patient-generated health data collection using Garmin Vivofits- Step Counts
Lasso di tempo: First 6 weeks from 7th day after enrollment
|
Participants will be asked to wear the Garmin Vivofits continuously during the study period.
Data collected using the Garmin Vivofits will include step counts.
The investigators will calculate the rate of collecting measurements from more than 50% of the subjects.
They define the rate as measurement-specific feasibility rate.
To estimate the rate, they will calculate 95% exact binomial confidence interval.
|
First 6 weeks from 7th day after enrollment
|
|
Feasibility of patient-generated health data collection using Garmin Vivofits- Sedentary and Active Time
Lasso di tempo: First 6 weeks from 7th day after enrollment
|
Participants will be asked to wear the Garmin Vivofits continuously during the study period.
Data collected using the Garmin Vivofits will include measures of sedentary and active time.
The investigators will calculate the rate of collecting measurements from more than 50% of the subjects.
They define the rate as measurement-specific feasibility rate.
To estimate the rate, they will calculate 95% exact binomial confidence interval.
|
First 6 weeks from 7th day after enrollment
|
|
Feasibility of patient-generated health data collection using Garmin Vivofits- Heart Rate
Lasso di tempo: First 6 weeks from 7th day after enrollment
|
Participants will be asked to wear the Garmin Vivofits continuously during the study period.
Data collected using the Garmin Vivofits will include heart rate.
The investigators will calculate the rate of collecting measurements from more than 50% of the subjects.
They define the rate as measurement-specific feasibility rate.
To estimate the rate, they will calculate 95% exact binomial confidence interval.
|
First 6 weeks from 7th day after enrollment
|
|
Feasibility of patient-generated health data collection using iHealth Fit Nexus HS2S Weighing scale
Lasso di tempo: First 6 weeks from 7th day after enrollment
|
Participants will be asked to use the iHealth Fit Nexus HS2S Weighing scale once a week during the study period.
The investigators will calculate the rate of collecting measurements from more than 50% of the subjects.
They define the rate as measurement-specific feasibility rate.
To estimate the rate, they will calculate 95% exact binomial confidence interval.
|
First 6 weeks from 7th day after enrollment
|
|
Feasibility of patient-generated health data collection using iHealth Track KN550BT blood pressure monitor
Lasso di tempo: First 6 weeks from 7th day after enrollment
|
Participants will be asked to use iHealth Track KN550BT blood pressure monitor once a week during the study period.
The investigators will calculate the rate of collecting measurements from more than 50% of the subjects.
They define the rate as measurement-specific feasibility rate.
To estimate the rate, they will calculate 95% exact binomial confidence interval.
|
First 6 weeks from 7th day after enrollment
|
Collaboratori e investigatori
Sponsor
Investigatori
- Investigatore principale: Rafi R Kabarriti, MD, Montefiore Medical Center
Pubblicazioni e link utili
Pubblicazioni generali
- Capra S, Ferguson M, Ried K. Cancer: impact of nutrition intervention outcome--nutrition issues for patients. Nutrition. 2001 Sep;17(9):769-72. doi: 10.1016/s0899-9007(01)00632-3.
- Laird NM, Ware JH. Random-effects models for longitudinal data. Biometrics. 1982 Dec;38(4):963-74.
- Bauer J, Capra S, Ferguson M. Use of the scored Patient-Generated Subjective Global Assessment (PG-SGA) as a nutrition assessment tool in patients with cancer. Eur J Clin Nutr. 2002 Aug;56(8):779-85. doi: 10.1038/sj.ejcn.1601412.
- Ohri N, Kabarriti R, Bodner WR, Mehta KJ, Shankar V, Halmos B, Haigentz M Jr, Rapkin B, Guha C, Kalnicki S, Garg M. Continuous Activity Monitoring During Concurrent Chemoradiotherapy. Int J Radiat Oncol Biol Phys. 2017 Apr 1;97(5):1061-1065. doi: 10.1016/j.ijrobp.2016.12.030. Epub 2016 Dec 25.
- Kabarriti R, Bontempo A, Romano M, McGovern KP, Asaro A, Viswanathan S, Kalnicki S, Garg MK. The impact of dietary regimen compliance on outcomes for HNSCC patients treated with radiation therapy. Support Care Cancer. 2018 Sep;26(9):3307-3313. doi: 10.1007/s00520-018-4198-x. Epub 2018 Apr 18.
- Gagnon MP, Ngangue P, Payne-Gagnon J, Desmartis M. m-Health adoption by healthcare professionals: a systematic review. J Am Med Inform Assoc. 2016 Jan;23(1):212-20. doi: 10.1093/jamia/ocv052. Epub 2015 Jun 15.
- Paul S, Bodner WR, Garg M, Tang J, Ohri N. Cardiac Irradiation Predicts Activity Decline in Patients Receiving Concurrent Chemoradiation for Locally Advanced Lung Cancer. Int J Radiat Oncol Biol Phys. 2020 Nov 1;108(3):597-601. doi: 10.1016/j.ijrobp.2020.05.042. Epub 2020 Jun 1.
- Zheng C, Chen X, Weng L, Guo L, Xu H, Lin M, Xue Y, Lin X, Yang A, Yu L, Xue Z, Yang J. Benefits of Mobile Apps for Cancer Pain Management: Systematic Review. JMIR Mhealth Uhealth. 2020 Jan 23;8(1):e17055. doi: 10.2196/17055.
- Liu P, Astudillo K, Velez D, Kelley L, Cobbs-Lomax D, Spatz ES. Use of Mobile Health Applications in Low-Income Populations: A Prospective Study of Facilitators and Barriers. Circ Cardiovasc Qual Outcomes. 2020 Sep;13(9):e007031. doi: 10.1161/CIRCOUTCOMES.120.007031. Epub 2020 Sep 4. No abstract available.
- Chang CM, Su YC, Lai NS, Huang KY, Chien SH, Chang YH, Lian WC, Hsu TW, Lee CC. The combined effect of individual and neighborhood socioeconomic status on cancer survival rates. PLoS One. 2012;7(8):e44325. doi: 10.1371/journal.pone.0044325. Epub 2012 Aug 30.
- Paccagnella A, Morello M, Da Mosto MC, Baruffi C, Marcon ML, Gava A, Baggio V, Lamon S, Babare R, Rosti G, Giometto M, Boscolo-Rizzo P, Kiwanuka E, Tessarin M, Caregaro L, Marchiori C. Early nutritional intervention improves treatment tolerance and outcomes in head and neck cancer patients undergoing concurrent chemoradiotherapy. Support Care Cancer. 2010 Jul;18(7):837-45. doi: 10.1007/s00520-009-0717-0. Epub 2009 Aug 30.
- Trujillo EB, Claghorn K, Dixon SW, Hill EB, Braun A, Lipinski E, Platek ME, Vergo MT, Spees C. Inadequate Nutrition Coverage in Outpatient Cancer Centers: Results of a National Survey. J Oncol. 2019 Nov 22;2019:7462940. doi: 10.1155/2019/7462940. eCollection 2019.
- Liptrott S, Bee P, Lovell K. Acceptability of telephone support as perceived by patients with cancer: A systematic review. Eur J Cancer Care (Engl). 2018 Jan;27(1). doi: 10.1111/ecc.12643. Epub 2017 Jan 30.
- Ryan AM, Power DG, Daly L, Cushen SJ, Ni Bhuachalla E, Prado CM. Cancer-associated malnutrition, cachexia and sarcopenia: the skeleton in the hospital closet 40 years later. Proc Nutr Soc. 2016 May;75(2):199-211. doi: 10.1017/S002966511500419X. Epub 2016 Jan 20.
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Termini relativi a questo studio
Parole chiave
Termini MeSH pertinenti aggiuntivi
Altri numeri di identificazione dello studio
- 2025-16965
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