Ohio State University Comprehensive Cancer Center
Columbus, Ohio, 43210, United States
Location status: Recruiting
Location contact
Allison De Villiers, MSN, RN, ONC
CONTACT
Allison De Villiers, MSN, RN, ONC
PRINCIPAL_INVESTIGATOR
NCT Number: NCT06089408
This clinical trial compares the effect of using weighted blankets versus regular blankets during first time infusions (e.g. chemotherapy, targeted therapy etc.) to decrease adverse side effects such as anxiety and distress in cancer (oncology) patients. Feeling safe, comforted, and grounded in the world are some of the benefits noted by individuals who use weighted blankets. Deep touch pressure (DTP) has been found to reduce symptoms of stress and anxiety and is defined as a sensation one feels when being hugged, squeezed, or held. DTP affects the nervous system by creating a calming effect which may lower stress and increase feelings of well-being. The use of weighted blankets may help to manage anxiety and distress during chemotherapy or immunotherapy infusions.
Interested in participating?
Request Info18 year and older
All sexes
Interventional
Not applicable
Columbus, Ohio, 43210, United States
Location status: Recruiting
Allison De Villiers, MSN, RN, ONC
CONTACT
Allison De Villiers, MSN, RN, ONC
PRINCIPAL_INVESTIGATOR
PRIMARY OBJECTIVE:
I. To assess the efficacy of weighted blankets on anxiety in patients receiving infusion therapy.
SECONDARY OBJECTIVE:
I. To assess the efficacy of weighted blankets on distress in patients receiving infusion therapy.
OUTLINE: Patients are randomized to 1 of 2 arms.
ARM I: Patients use a weighted blanket for 30 minutes during the infusion appointment.
ARM II: Patients use a regular blanket for 30 minutes per standard of care during the infusion appointment.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Use a regular blanket
Other names: standard of care, standard therapy
Use a weighted blanket
Other names: Supportive Therapy, Symptom Management, Therapy, Supportive
Ancillary studies
Time frame: At baseline and 30 minutes after use of either a standard or weighted blanket
To test for the effect of the weighted blanket, will fit a mixed model with the post-level of anxiety as the dependent variable and baseline values and treatment (standard or weighted blanket) as predictors. A random effect for patient will be fit to account for the possible correlation of within-patient repeated outcome measures. The models will control for patient gender and age.
Time frame: At baseline and 30 minutes after use of either a standard or weighted blanket
To test for the effect of the weighted blanket, will fit a mixed model with the post-level of distress as the dependent variable and baseline values and treatment (standard or weighted blanket) as predictors. A random effect for patient will be fit to account for the possible correlation of within-patient repeated outcome measures. The models will control for patient gender and age.
Time frame: At baseline and 30 minutes after use of either a standard or weighted blanket
Will be binned to create ordinal variables. If they lead to an adequate sample size in each group, clinically relevant cut points will be used for binning. Otherwise, we will bin using outcome medians or terciles, with the choice depending on the distribution of the data collected after blanket use. The categorical representation will be modeled using generalized linear mixed modeling. We will fit ordinal logistic regression models with repeated measures. As with the linear mixed models, baseline values and treatment (standard or weighted blanket) will be predictors, with patient gender and age as control variables.
Time frame: At baseline and 30 minutes after use of either a standard or weighted blanket
Will be binned to create ordinal variables. If they lead to an adequate sample size in each group, clinically relevant cut points will be used for binning. Otherwise, we will bin using outcome medians or terciles, with the choice depending on the distribution of the data collected after blanket use. The categorical representation will be modeled using generalized linear mixed modeling. We will fit ordinal logistic regression models with repeated measures. As with the linear mixed models, baseline values and treatment (standard or weighted blanket) will be predictors, with patient gender and age as control variables.
Contact information is provided by the study sponsor or research team.
Ohio State University Comprehensive Cancer Center
Other
Weighted Blanket Use in Oncology Patients to Reduce Anxiety
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.
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