Abstract

IntroductionGeriatric assessment (GA)-guided supportive care programs have been successful in improving treatment outcomes for older adults with solid-organ cancers. This study aimed to evaluate the feasibility of a GA-guided supportive care program among older adults treated for multiple myeloma (MM). Materials and MethodsThe study utilized an existing registry of adults with plasma cell disorders at the University of North Carolina. Patients with MM, aged 60 or older, and having a GA-identified deficit in one or more problem area were offered referrals to supportive care resources during routine visits. Problem areas included physical function deficits, polypharmacy, and anxiety or depression. Patients with physical function deficits were offered referral to physical therapy (PT), those with polypharmacy to an Oncology Clinical Pharmacist Practitioner (CPP), and those with mental health symptoms to the Comprehensive Cancer Support Program (CCSP). ResultsOf the 58 individuals identified as having at least one deficit on the GA, PT was the most commonly identified relevant resource (79%), followed by CPP visits (57%). Among individuals that were offered referral(s) to at least one new supportive care resource, the acceptance rate was 50%. Referral acceptance rates were highest among those recommended for a CPP visit (55% of those approached) and lowest for CCSP (0%). DiscussionThe study examined the feasibility and acceptability of a referral program for supportive care resources among older adults with MM who have deficits on GA. The most commonly identified deficit was physical functioning, followed by polypharmacy and mental health. The study found that physical interventions and referrals to CPPs were the most accepted interventions. However, the low proportion of patients who accepted physical therapy referrals indicates the need for tailored and more personalized approaches. Further research is needed to explore the feasibility and impact of supportive care referral programs for older adults with MM.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.