Multiple Myeloma Clinical Trial
Official title:
Family-Centered Intervention for the Transition to Living With Multiple Myeloma as a Chronic Illness
Verified date | March 2017 |
Source | Case Comprehensive Cancer Center |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This pilot clinical trial studies how well psychoeducational and behavioral strategies work in reducing distress and anxiety in patients with multiple myeloma and their family caregivers. Education and walking programs, may be able to reduce distress and anxiety and improve the well-being and quality of life of patients with multiple myeloma and their family caregivers. Understanding how different forms of education and support can promote emotional wellness may help nurse researchers find ways to improve services provided to patients and family members during cancer treatment.
Status | Completed |
Enrollment | 30 |
Est. completion date | August 17, 2016 |
Est. primary completion date | April 11, 2015 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - PATIENTS: Within 12 months of a new diagnosis of multiple myeloma or less than or equal to 2 cycles of treatment (all stages, with or without treatment) - PATIENTS: Eastern Cooperative Oncology Group (ECOG) performance status less than or equal to 2 - PATIENTS: Ambulatory with or without an assistive device (cane, walker) - PATIENTS: Cognitively intact, as evidenced by orientation to person, place, and time - PATIENTS: Ability to speak, read, and comprehend English - PATIENTS: Has an identified family caregiver who is willing to participate - CAREGIVERS: Any family member, who is identified by the patient as his/her caregiver - CAREGIVERS: ECOG performance status less than or equal to 2 - CAREGIVERS: Ambulatory with or without an assistive device (cane, walker) - CAREGIVERS: Cognitively intact, as evidenced by orientation to person, place, and time - CAREGIVERS: Ability to speak, read, and comprehend English - CAREGIVERS: Has an identified family member who is a patient - CAREGIVERS: Caregivers do not need to reside with the patient Exclusion Criteria: - PATIENTS: Have severe pain (pain score of 7 to 10 on a 0 to 10 scale) - PATIENTS: Are at high risk for bone fracture or who have a new fracture needing intervention, as determined by the physician - PATIENTS: Have untreated venous thrombosis, as determined by the physician - PATIENTS: Have a life expectancy of less than six months, as determined by the physician, and their caregivers - PATIENTS: Receiving active, concurrent treatment for a prior history of cancer (hormonal therapies allowed) - CAREGIVERS: Diagnosis of cancer and received cancer treatment within one year - CAREGIVERS: Medical condition that significantly affects their ability to walk - PATIENT or CAREGIVER: Is hearing impaired to the degree that they are unable to hear instructions via the phone - PATIENTS or CAREGIVER: Lives in a skilled nursing facility |
Country | Name | City | State |
---|---|---|---|
United States | Case Comprehensive Cancer Center | Cleveland | Ohio |
Lead Sponsor | Collaborator |
---|---|
Case Comprehensive Cancer Center | National Cancer Institute (NCI) |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change in emotional distress in patients measured as anxiety using the Patient-Reported Outcomes Measurement Information System (PROMIS) | A linear mixed model will be used and the model parameters will be estimated by the method of restricted maximum likelihood. | Baseline to up to 12 weeks | |
Secondary | Change in activation for self-management in patients using the Patient Activation Measure (PAM) | A linear mixed model will be used. If there are large numbers of missing values, the parameters will be estimated by utilizing the "pattern mixture model." Should the change be non-linear, the model may be extended to allow for non-linearity. In the case of parametric model assumption violation, the generalized estimating equation approach may be used. | Baseline to up to 12 weeks | |
Secondary | Change in activation for self-management in caregivers using the PAM | A linear mixed model will be used. If there are large numbers of missing values, the parameters will be estimated by utilizing the "pattern mixture model." Should the change be non-linear, the model may be extended to allow for non-linearity. In the case of parametric model assumption violation, the generalized estimating equation approach may be used. | Baseline to up to 12 weeks | |
Secondary | Change in fatigue in patients using the PROMIS | A linear mixed model will be used. If there are large numbers of missing values, the parameters will be estimated by utilizing the "pattern mixture model." Should the change be non-linear, the model may be extended to allow for non-linearity. In the case of parametric model assumption violation, the generalized estimating equation approach may be used. | Baseline to up to 12 weeks | |
Secondary | Change in fatigue in caregivers using the PROMIS | A linear mixed model will be used. If there are large numbers of missing values, the parameters will be estimated by utilizing the "pattern mixture model." Should the change be non-linear, the model may be extended to allow for non-linearity. In the case of parametric model assumption violation, the generalized estimating equation approach may be used. | Baseline to up to 12 weeks | |
Secondary | Change in depression in patients using the PROMIS | A linear mixed model will be used. If there are large numbers of missing values, the parameters will be estimated by utilizing the "pattern mixture model." Should the change be non-linear, the model may be extended to allow for non-linearity. In the case of parametric model assumption violation, the generalized estimating equation approach may be used. | Baseline to up to 12 weeks | |
Secondary | Change in depression in caregivers using the PROMIS | A linear mixed model will be used. If there are large numbers of missing values, the parameters will be estimated by utilizing the "pattern mixture model." Should the change be non-linear, the model may be extended to allow for non-linearity. In the case of parametric model assumption violation, the generalized estimating equation approach may be used. | Baseline to up to 12 weeks | |
Secondary | Change in HRQOL in patients using the PROMIS short form, Global Health | A linear mixed model will be used. If there are large numbers of missing values, the parameters will be estimated by utilizing the "pattern mixture model." Should the change be non-linear, the model may be extended to allow for non-linearity. In the case of parametric model assumption violation, the generalized estimating equation approach may be used. | Baseline to up to 12 weeks | |
Secondary | Change in HRQOL in caregivers using the PROMIS short form, Global Health | A linear mixed model will be used. If there are large numbers of missing values, the parameters will be estimated by utilizing the "pattern mixture model." Should the change be non-linear, the model may be extended to allow for non-linearity. In the case of parametric model assumption violation, the generalized estimating equation approach may be used. | Baseline to up to 12 weeks | |
Secondary | Feasibility of the intervention, assessed via attrition rates | Up to 12 weeks | ||
Secondary | Acceptability of the intervention, assessed via consent rates | Up to 12 weeks | ||
Secondary | Satisfaction with the intervention assessed using an exit interview survey | At 12 weeks | ||
Secondary | Integrity of the intervention, assessed through fidelity monitoring | Up to 12 weeks |
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