Massachusetts General Hospital
Boston, Massachusetts, 02115, United States
NCT Number: NCT04544046
This research study is evaluating a program that entails remote monitoring and home-based care for people with cancer who are receiving chemotherapy, radiotherapy, or chemoradiotherapy.
This study is active but is not currently recruiting participants.
Notify Me18 year and older
All sexes
Interventional
Not applicable
Boston, Massachusetts, 02115, United States
Participants receiving treatment for cancer often require multiple care visits and may experience significant symptoms and side-effects related to the cancer and the cancer treatment.
This research study is evaluating if a program that involves remote monitoring and home-based care may improve the quality of life, ability to manage symptoms, and overall care of individuals during cancer treatment. Remote monitoring is broadly defined as a way of monitor outside of conventional clinical settings (e.g. in the home) that often utilizes technology to increase access to care.
Eligible participants will be randomized into one of two groups:
It is expected that about 300 people will take part in this research study.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Remote monitoring of symptoms, vital signs, and body weight with home-based care to address any concerning issues identified.
Standard care arm will receive standard oncology care and attend regular clinic visits.
Time frame: baseline to 6 months
Compare the difference between study arms using Fisher's exact tests, and logistic regression, adjusted for any potential confounders that are imbalanced between the two groups at baseline (e.g. age, gender).
Time frame: baseline to 6 months
Linear regression or Poisson regression based on normality of the data adjusted for any potential confounders that are imbalanced between the two groups (e.g. age, gender).
Time frame: baseline to 6 months
Linear regression or Poisson regression based on normality of the data adjusted for any potential confounders that are imbalanced between the two groups (e.g. age, gender).
Time frame: baseline to 6 months
Compare rates of treatment interruptions (e.g. delays) using Fisher's exact tests and logistic regression, adjusted for any potential confounders that are imbalanced between the two groups at baseline (e.g. age, gender).
Time frame: baseline to 6 months
Compare dose intensity using linear regression or Poisson regression based on normality of the data adjusted for any potential confounders that are imbalanced between the two groups (e.g. age, gender).
Time frame: baseline up to 6 months
Linear regression or Poisson regression based on normality of the data adjusted for baseline values of each respective patient-reported outcome and any potential confounders that are imbalanced between the two groups (e.g. age, gender).
Time frame: baseline to 6 months
Linear regression or Poisson regression based on normality of the data adjusted for baseline values of each respective patient-reported outcome and any potential confounders that are imbalanced between the two groups (e.g. age, gender).
Time frame: baseline to 6 months
Linear regression or Poisson regression based on normality of the data adjusted for baseline values of each respective patient-reported outcome and any potential confounders that are imbalanced between the two groups (e.g. age, gender).
Time frame: baseline to 6 months
Linear regression or Poisson regression based on normality of the data adjusted for baseline values of each respective patient-reported outcome and any potential confounders that are imbalanced between the two groups (e.g. age, gender).
Time frame: baseline to 6 months
Linear regression or Poisson regression based on normality of the data adjusted for baseline values of each respective patient-reported outcome and any potential confounders that are imbalanced between the two groups (e.g. age, gender).
Time frame: baseline to 6 months
Linear regression or Poisson regression based on normality of the data adjusted for baseline values of each respective patient-reported outcome and any potential confounders that are imbalanced between the two groups (e.g. age, gender).
Massachusetts General Hospital
Other
Randomized Trial of a Supportive Oncology Care at Home Intervention for Patients With Cancer Receiving Definitive Treatment
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT06239194
Biliary Tract Cancer, Biliary Tract Diseases
Denver, Colorado, United States
View Trial DetailsNCT07318051
Adnexal Diseases, Breast Cancer
Austin, Texas, United States
View Trial DetailsNCT05179824
Adnexal Diseases, Bile Duct Diseases
Dallas, Texas, United States
View Trial DetailsNCT07059884
Adnexal Diseases, Anal Cancer
Dublin, California, United States
View Trial Details