The presence of SDB is an important risk factor for mortality from excessive daytime sleepiness in older adults. In the presence of SDB at an AHI ≥20 events/h, EDS was associated with an increased all-cause mortality risk in older adults, even when adjusting for other significant risk factors, such as prolonged sleep duration. In older patients who had SDB without EDS, or EDS without SDB, there was no increased all-cause mortality rate.
Purpose
Acupuncture is a complementary and alternative medicine (CAM) modality that shows promise as a component of supportive breast cancer care. Lack of robust recruitment for clinical trial entry has limited the evidence-base for acupuncture as a treatment modality among breast cancer survivors. The objective of this study is to identify key decision making factors among breast cancer survivors considering entry into an acupuncture clinical trial for treatment of symptoms.
Methods
Semi-structured interviews were conducted among African-American (n=12) and Caucasian (n=13) breast cancer survivors. Verbatim transcripts were made and analyzed by two or more independent coders using NVivo software. Major recurring themes were identified and a theoretical framework developed.
Results
Six themes emerged reflecting key attributes of the decision to enter a clinical trial: 1) symptom appraisal, 2) practical barriers (e.g. distance, travel), 3) beliefs about the interventions (e.g. fear of needles, dislike of medications), 4) comfort with elements of clinical trial design (e.g., randomization, the nature of the control intervention, and blinding), 5) trust, and 6) altruism. African-American and Caucasian women weighed similar attributes but differed in the information sources sought regarding clinical trial entry and in concerns regarding the use of a placebo in a clinical trial.
Conclusions
We present of a theoretical framework of decision making for breast cancer survivors considering entry into a CAM clinical trial for symptom management. This framework can inform both research studies and programmatic initiatives to support a shared decision making process and robust recruitment to CAM trials among cancer survivors.
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