Fatigue, Anxiety, Music, and Entertainment (FAME) Study
FAME
Addressing Fatigue, Anxiety, and Cognitive Impairment Through Rhythmic Effects: A Pilot Feasibility Study Using a Group Drumming Intervention With Cancer Patients
1 other identifier
interventional
21
1 country
1
Brief Summary
Evaluate the feasibility of a six-week group drumming intervention on fatigue, anxiety, and cognitive impairment when compared to an attentional control for cancer patients who have undergone at least one treatment session of chemotherapy or radiation therapy.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started May 2019
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 13, 2019
CompletedStudy Start
First participant enrolled
May 13, 2019
CompletedFirst Posted
Study publicly available on registry
May 17, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 15, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
December 15, 2020
CompletedMay 6, 2021
May 1, 2021
1.6 years
May 13, 2019
May 4, 2021
Conditions
Outcome Measures
Primary Outcomes (4)
Fatigue will be analyzed by looking at the degree of overall treatment impact (gain) changes over time in group and individual Functional Assessment of Chronic Illness Therapy Fatigue (FACIT-F) scores.
FACIT-F scores can range between 0 and 52 (0 is the worst possible score). The FACIT-F is a 13-item symptom subscale measuring fatigue with chronic illness that has been validated among various cancer diagnosis and has been used in interventional, repeat measure studies with a test-retest reliability of r=0.90 and internal consistency of a=0.95 (Minton \& Stone, 2008).
Baseline, 3 weeks, 6 weeks, and 8 weeks after group has ended between intervention and attention control groups.
The mean rate-of-change patterns (trend) of group drumming on fatigue over time as compared to an attention control group will be measured using FACIT-F
The mean rate-of-change for the group post-baseline (trend) will be analyzed. Fatigue will also be analyzed by looking at trend of individual FACIT-F scores that can range between 0 and 52. The FACIT-F is a 13-item symptom subscale measuring fatigue with chronic illness that has been validated among various cancer diagnosis and has been used in interventional, repeat measure studies with a test-retest reliability of r=0.90 and internal consistency of a=0.95 (Minton \& Stone, 2008).
Baseline, 3 weeks, 6 weeks, and 8 weeks after group has ended between intervention and attention control groups.
Anxiety severity levels of change over time will be compared to an attentional control group using the STAI-Y form.
Anxiety will be analyzed by looking at gain of individual State section of State Trait Anxiety Inventory-State Scale (STAI) scores at 3 weeks, 6 weeks, and 8 weeks after group has ended between intervention and attention control groups. The STAI-form Y-1 will be used to measure state anxiety. It has been used with cancer patients to measure state anxiety with a Cronbach's alpha score of .94 for state anxiety. STAI-form Y-1-inventory consists of 20 anxiety questions like "I feel calm" with participants rating their answers on a four-point Likert scale (1=not at all, 4=very much so). STAI-Y has a minimum score of 20 to a maximum score of 80. STAI scores are commonly classified as "no or low anxiety" (20-37), "moderate anxiety" (38-44), and "high anxiety" (45-80).
Baseline, 3 weeks, 6 weeks, and 8 weeks after group has ended between intervention and attention control groups.
Anxiety change patterns over time will be compared to an attentional control group using the STAI-Y form.
Anxiety will be analyzed by looking at the trend of individual using State section of State Trait Anxiety Inventory-State Scale (STAI) scores at 3 weeks, 6 weeks, and 8 weeks after group has ended between intervention and attention control groups. The STAI-form Y-1 will be used to measure state anxiety. It has been used with cancer patients to measure state anxiety with a Cronbach's alpha score of .94 for state anxiety. STAI-form Y-1-inventory consists of 20 anxiety questions like "I feel calm" with participants rating their answers on a four-point Likert scale (1=not at all, 4=very much so). STAI scores are commonly classified as "no or low anxiety" (20-37), "moderate anxiety" (38-44), and "high anxiety" (45-80).
Baseline, 3 weeks, 6 weeks, and 8 weeks after group has ended between intervention and attention control groups.
Secondary Outcomes (1)
Cognitive function of cancer patients who participate in a 6-week group drumming intervention will show improvement in cognitive function, as measured by the Functional Assessment of Cancer Therapy-Cognition (FACT-COG).
Baseline, 3 weeks, 6 weeks, and 8 weeks after group has ended between intervention and attention control groups.
Other Outcomes (2)
Positive affect of group drumming will be measured over time using the Positive Affect & Well-being Scale-Short Form (PAW-SF).
1st week, 3 weeks, and 6 weeks.
Having a sense of flow during group drumming will be measured by the Core Flow States Scale (C FSS).
After each group drumming session (6 weeks).
Study Arms (2)
Group Drumming
EXPERIMENTAL6 week one hour/week drumming sessions. The detailed intervention protocol was created in collaboration with board-certified music therapists. The music used in the intervention will include both recorded percussion music and the use of percussion instruments.
Attention Control Entertaining Educational Series
OTHER6 week one hour/week educational series. The educational group is largely intended to create an attention group control so group effect and time of the drumming intervention can be controlled.
Interventions
Cancer patients will be led by a Board Certified Music Therapist to participate in group drumming for one hour per week, for six weeks.
This is intended to control for time, place, and group affect.
Eligibility Criteria
You may qualify if:
- Adults 18 and over who have received at least one session of chemotherapy or radiation treatment and self-report symptoms of fatigue or anxiety at a level 4 or above on a scale of 0-10.
- Active treatment through one-year post completion of active treatment.
- At least one week after surgery.
- Ability to read and write in English.
You may not qualify if:
- Total deafness or severely impaired hearing.
- Absence of arms and/or hands.
- Current engagement in group drumming.
- Scheduled for surgery in the next 12 weeks.
- Currently taking medications for diagnosis of dementia or Alzheimer's disease.
- Substantial, uncorrected vision loss.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Huntsman Cancer Institute, University of Utah
Salt Lake City, Utah, 84102, United States
Related Publications (15)
Fairclough, D.L., Design and analysis of quality of life studies in clinical trials. 2010: CRC press.
BACKGROUNDMoinpour CM, Darke AK, Donaldson GW, Thompson IM Jr, Langley C, Ankerst DP, Patrick DL, Ware JE Jr, Ganz PA, Shumaker SA, Lippman SM, Coltman CA Jr. Longitudinal analysis of sexual function reported by men in the Prostate Cancer Prevention Trial. J Natl Cancer Inst. 2007 Jul 4;99(13):1025-35. doi: 10.1093/jnci/djm023. Epub 2007 Jun 27.
PMID: 17596576RESULTDonaldson GW, Moinpour CM. Individual differences in quality-of-life treatment response. Med Care. 2002 Jun;40(6 Suppl):III39-53. doi: 10.1097/00005650-200206001-00007.
PMID: 12064757RESULTMoinpour CM, Lovato LC, Thompson IM Jr, Ware JE Jr, Ganz PA, Patrick DL, Shumaker SA, Donaldson GW, Ryan A, Coltman CA Jr. Profile of men randomized to the prostate cancer prevention trial: baseline health-related quality of life, urinary and sexual functioning, and health behaviors. J Clin Oncol. 2000 May;18(9):1942-53. doi: 10.1200/JCO.2000.18.9.1942.
PMID: 10784636RESULTDonaldson GW, Moinpour CM. Learning to live with missing quality-of-life data in advanced-stage disease trials. J Clin Oncol. 2005 Oct 20;23(30):7380-4. doi: 10.1200/JCO.2005.07.022. Epub 2005 Sep 26. No abstract available.
PMID: 16186589RESULTMoinpour CM, Donaldson GW, Redman MW. Do general dimensions of quality of life add clinical value to symptom data? J Natl Cancer Inst Monogr. 2007;(37):31-8. doi: 10.1093/jncimonographs/lgm007.
PMID: 17951229RESULTMoinpour CM, Donaldson GW, Liepa AM, Melemed AS, O'Shaughnessy J, Albain KS. Evaluating health-related quality-of-life therapeutic effectiveness in a clinical trial with extensive nonignorable missing data and heterogeneous response: results from a phase III randomized trial of gemcitabine plus paclitaxel versus paclitaxel monotherapy in patients with metastatic breast cancer. Qual Life Res. 2012 Jun;21(5):765-75. doi: 10.1007/s11136-011-9999-z. Epub 2011 Sep 16.
PMID: 21922153RESULTMoinpour CM, Darke AK, Donaldson GW, Cespedes D, Johnson CR, Ganz PA, Patrick DL, Ware JE Jr, Shumaker SA, Meyskens FL, Thompson IM Jr. Health-related quality-of-life findings for the prostate cancer prevention trial. J Natl Cancer Inst. 2012 Sep 19;104(18):1373-85. doi: 10.1093/jnci/djs359. Epub 2012 Sep 12.
PMID: 22972968RESULTDonaldson GW, Nakamura Y, Moinpour C. Mediators, moderators, and modulators of causal effects in clinical trials--Dynamically Modified Outcomes (DYNAMO) in health-related quality of life. Qual Life Res. 2009 Mar;18(2):137-45. doi: 10.1007/s11136-008-9439-x. Epub 2009 Jan 20.
PMID: 19152118RESULTMoinpour CM, Sawyers Triplett J, McKnight B, Lovato LC, Upchurch C, Leichman CG, Muggia FM, Tanaka L, James WA, Lennard M, Meyskens FL Jr. Challenges posed by non-random missing quality of life data in an advanced-stage colorectal cancer clinical trial. Psychooncology. 2000 Jul-Aug;9(4):340-54. doi: 10.1002/1099-1611(200007/08)9:43.0.co;2-f.
PMID: 10960931RESULTCohen J. A power primer. Psychol Bull. 1992 Jul;112(1):155-9. doi: 10.1037//0033-2909.112.1.155.
PMID: 19565683RESULTCoffman CJ, Edelman D, Woolson RF. To condition or not condition? Analysing 'change' in longitudinal randomised controlled trials. BMJ Open. 2016 Dec 30;6(12):e013096. doi: 10.1136/bmjopen-2016-013096.
PMID: 28039292RESULTLiu GF, Lu K, Mogg R, Mallick M, Mehrotra DV. Should baseline be a covariate or dependent variable in analyses of change from baseline in clinical trials? Stat Med. 2009 Sep 10;28(20):2509-30. doi: 10.1002/sim.3639.
PMID: 19610129RESULTLiang, K.-Y. and S.L. Zeger, Longitudinal data analysis of continuous and discrete responses for pre-post designs. Sankhyā: The Indian Journal of Statistics, Series B, 2000: p. 134-148.
RESULTSinger, J.D., J.B. Willett, and J.B. Willett, Applied longitudinal data analysis: Modeling change and event occurrence. 2003: Oxford university press.
RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
May 13, 2019
First Posted
May 17, 2019
Study Start
May 13, 2019
Primary Completion
December 15, 2020
Study Completion
December 15, 2020
Last Updated
May 6, 2021
Record last verified: 2021-05
Data Sharing
- IPD Sharing
- Will not share