N. Nathwani, S. Kurtin, B. Lipe, S. Mohile, D. Catamero, D. Wujcik, Kristy Birchard, Agnes Davis, W. Dudley, C. Stricker, T. Wildes
{"title":"Integrating Touchscreen-Based Geriatric Assessment and Frailty Screening for Adults With Multiple Myeloma to Drive Personalized Treatment Decisions.","authors":"N. Nathwani, S. Kurtin, B. Lipe, S. Mohile, D. Catamero, D. Wujcik, Kristy Birchard, Agnes Davis, W. Dudley, C. Stricker, T. Wildes","doi":"10.1200/JOP.19.00208","DOIUrl":null,"url":null,"abstract":"PURPOSE\nGeriatric assessment (GA) results predict toxicity/survival in older adults, yet GA is not routinely used in care for patients with multiple myeloma (MM). We tested a tablet-based modified GA (mGA) providing real-time results to clinicians.\n\n\nMETHODS\nOne hundred sixty-five patients with MM aged ≥ 65 years facing a treatment decision from 4 sites completed a tablet-based mGA with Katz Activities of Daily Living (ADL), Lawton Instrumental ADL, Charlson Comorbidity Index, and variables from the Cancer and Aging Research Group's Chemotherapy Toxicity Calculator. Providers reviewed the assessment results at the treatment visit.\n\n\nRESULTS\nPatients were white (72%; n = 86), mean age was 72 years (range, 65-85 years), and averaged 7.71 minutes (range, 2-17 minutes) for survey completion. Providers averaged 3.2 minutes (range, 1-10 minutes) to review mGA results. Using International Myeloma Working Group frailty score, patients were fit (39%; n = 64), intermediate fit (33%; n = 55), or frail (28%; n = 46). Providers selected more aggressive treatments in 16.3% of patients and decreased treatment intensity in 34% of patients; treatment intensification was more common for fit patients and milder treatments for frail patients (χ2 = 20.02; P < .0001). Transplant eligibility significantly correlated with fit status and transplant ineligibility with frail status (P = .004). Outcomes on 144 patients 3 months post study visit showed 19.4% (n = 28) had grade ≥ 3 hematologic toxicities, 38.9% (n = 56) had dose modifications, and 18% (n = 26) had early therapy cessation.\n\n\nCONCLUSION\nLimited patient time required for survey completion and provider time for results review show mGA can be easily incorporated into clinical workflow. Real-time mGA results indicating fit/frailty status influenced treatment decisions.","PeriodicalId":54273,"journal":{"name":"Journal of Oncology Practice","volume":"1 1","pages":"JOP1900208"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1200/JOP.19.00208","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Oncology Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1200/JOP.19.00208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Nursing","Score":null,"Total":0}
引用次数: 12
Abstract
PURPOSE
Geriatric assessment (GA) results predict toxicity/survival in older adults, yet GA is not routinely used in care for patients with multiple myeloma (MM). We tested a tablet-based modified GA (mGA) providing real-time results to clinicians.
METHODS
One hundred sixty-five patients with MM aged ≥ 65 years facing a treatment decision from 4 sites completed a tablet-based mGA with Katz Activities of Daily Living (ADL), Lawton Instrumental ADL, Charlson Comorbidity Index, and variables from the Cancer and Aging Research Group's Chemotherapy Toxicity Calculator. Providers reviewed the assessment results at the treatment visit.
RESULTS
Patients were white (72%; n = 86), mean age was 72 years (range, 65-85 years), and averaged 7.71 minutes (range, 2-17 minutes) for survey completion. Providers averaged 3.2 minutes (range, 1-10 minutes) to review mGA results. Using International Myeloma Working Group frailty score, patients were fit (39%; n = 64), intermediate fit (33%; n = 55), or frail (28%; n = 46). Providers selected more aggressive treatments in 16.3% of patients and decreased treatment intensity in 34% of patients; treatment intensification was more common for fit patients and milder treatments for frail patients (χ2 = 20.02; P < .0001). Transplant eligibility significantly correlated with fit status and transplant ineligibility with frail status (P = .004). Outcomes on 144 patients 3 months post study visit showed 19.4% (n = 28) had grade ≥ 3 hematologic toxicities, 38.9% (n = 56) had dose modifications, and 18% (n = 26) had early therapy cessation.
CONCLUSION
Limited patient time required for survey completion and provider time for results review show mGA can be easily incorporated into clinical workflow. Real-time mGA results indicating fit/frailty status influenced treatment decisions.
期刊介绍:
Journal of Oncology Practice (JOP) provides necessary information and insights to keep oncology practice current on changes and challenges inherent in delivering quality oncology care. All content dealing with understanding the provision of care—the mechanics of practice—is the purview of JOP. JOP also addresses an expressed need of practicing physicians to have compressed, expert opinion addressing common clinical problems.