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Jones, Lee W.

0000-0002-3716-8793

A5071201873 | I1334819555

Mayo Clinic

11Patient Advocate, Arlington, VA

Citations 3

Feasibility of Multi-Modal Physical Function Data Collection to Assess Treatment Tolerability in Patients with Lymphoma

Blood | December 5, 2024 | Volume: 144 | Issue: Supplement 1 | Pages: 387-387

10.1182/blood-2024-194607

Background: Physical function (PF) is an important outcome that can inform cancer treatment tolerability from a clinical and regulatory perspective. PF can be assessed through different modalities: patient-reported (PRO), clinician-reported (ClinRo), performance tests (PerfO), and digital sensors (wearables). No standard approach for PF measurement has been defined, and each modality bears unique implementation challenges. The Integrating 4 Measures to Assess Physical Function study (In4M, NCT05214144) characterized the performance of these PF modalities in patients receiving cytotoxic chemotherapy, with a goal of guiding an assessment strategy in future cancer trials. Here we present feasibility results of the In4M study in patients with lymphoma. Methods: In4M is a prospective observational study with longitudinal PF assessment of PROs, ClinRo, PerfO, and wearable sensor data for over 9 months in patients initiating chemotherapy for lymphoma or breast cancer at Mayo Clinic and Yale University. Patient-reported PF was assessed using several validated ePRO instruments, ClinRo utilized clinician-reported Eastern Cooperative Oncology Group (ECOG) performance status, PerfO was measured via 6-minute walk test (6MWT), and digital sensor data was obtained from a wearable (Fitbit) provided to all participants. We evaluated the feasibility of implementing these PF modalities through compliance outcomes and a study-specific exit survey. Descriptive statistics included medians and interquartile ranges (IQR) for continuous variables and frequencies for categorical variables. We used a mixed model to estimate mean number of Fitbit compliant days per week. Results: Among 66 patients with lymphoma in the study (median age was 57 years; 52% were male), 90% self-reported as White, 4.9% as Black, 1.6% as Asian, 1.6% as American Indian or Alaska Native, and 1.6% as multiple races. Ethnicity was reported as non-Hispanic/Latino by 93% of patients. Education status was reported as more than high school by 92% of patients, and 49% reported full-time employment at time of enrollment. The overall ePROs completion rate was 80.7% for the entire study period. Baseline ePRO completion rate was 93.9%. Completion rate while undergoing chemotherapy was 91.3% and 75.4% in the post-treatment follow-up. The median time to complete ePROs was 4.1 minutes (IQR 2.8-5.9), ranging from 3.1 minutes for surveys with 37 questions to 5.6 minutes for surveys with 55 questions (survey length varied by timepoint). The baseline 6MWT was completed by 91% of patients. The most common reasons for not completing the baseline 6MWT were: patient refusal (50%, 3/6), patient not physically present (33%, 2/6), and unable to complete due to fatigue (17%, 1/6). The 3-month 6MWT was completed by 66% (40/61) of patients, with the most common reasons for missingness being: patient not physically present (38%, 8/21) and unable to complete due to fatigue (14%, 3/21). When considering the days when Fitbit was used, the median wear time was 21.3 hours (IQR 18.9-22.5) per day. The proportion of compliant days (>10 hours of wear time during waking hours) was 53% (IQR 20-84). The median of participants' average compliant days per week was 5.4 (IQR 4.3-6.1) days/week after enrollment, with a slight downward trend over time (-0.017 compliant days per week [95% CI: -0.021, -0.012, p <0.001] over each consecutive week in the study). The exit survey was completed by 39 (59%) patients. Most participants (85%) indicated they did not find the ePRO surveys burdensome to complete. Using the Fitbit (charging and syncing) was found to be manageable by most patients (87% and 84%, respectively). 60.8% of patients did not find the wearable bothersome to use, while the main themes reported by the remaining patients were related to the operation of the wearable itself (functions, small text size, forgetting login information) or discomfort (band material, wearing at night). Conclusion: Multi-modal assessment of PF with PRO, ClinRo, PerfO and wearable sensor data in patients with lymphoma undergoing treatment is feasible. Designing lymphoma therapeutic trials that incorporate at least one PF assessment modality, or assessment with a parsimonious combination of modalities, is achievable and may yield valuable insights into treatment tolerability for clinical and regulatory purposes.
Oncologists’ Attitudes and Practice of Addressing Diet, Physical Activity, and Weight Management With Patients With Cancer: Findings of an ASCO Survey of the Oncology Workforce

Journal of Oncology Practice | May 16, 2019 | Volume: 15 | Issue: 6 | Pages: e520-e528

10.1200/jop.19.00124 | PMID 31095436

PURPOSE: Obesity and related factors have been linked to cancer risk and outcomes, but little information exists with regard to oncologists’ attention to these issues as a part of clinical care. METHODS: Oncology providers actively caring for patients with cancer in the United States and internationally were asked to complete an online survey about practice patterns and perceptions with regard to obesity and weight management during and after active cancer treatment. RESULTS: Nine hundred seventy-one practicing oncology providers completed the survey. The majority of respondents indicated a belief that the evidence linking obesity to cancer outcomes was strong and that weight and related factors should be addressed as a part of cancer treatment. The majority of respondents also reported that they frequently assessed body weight and related factors as well as counsel their patients to exercise, consume a healthy diet, and lose weight, if applicable. However, referral to providers and programs to support weight loss and increased physical activity occurred less frequently, and a number of barriers were identified for the incorporation of weight management and physical activity programs in the treatment of patients with cancer. CONCLUSION: In a survey of oncology providers, attention to weight management, physical activity, and diet in patients with cancer was high during and after cancer treatment but often did not result in referrals to support lifestyle change. Future work is needed to support education and training of oncology providers to facilitate referrals and overcome barriers to implementation of weight management and physical activity programs for patients with cancer.
Conducting Cancer Control and Survivorship Research via Cooperative Groups: A Report from the American Society of Preventive Oncology

Cancer Epidemiology, Biomarkers & Prevention | May 5, 2011 | Volume: 20 | Issue: 5 | Pages: 1050-1055

10.1158/1055-9965.epi-11-0176 | PMID 21502540

Abstract As the number of cancer survivors expands, the need for cancer control and survivorship research becomes increasingly important. The National Cancer Institute (NCI) Cooperative Groups may offer a viable platform to perform such research. Observational, preventive, and behavioral research can often be performed within the cooperative group setting, especially if resources needed for evaluation are fairly simple, if protocols are easily implemented within the typical clinical setting, and if interventions are well standardized. Some protocols are better suited to cooperative groups than are others, and there are advantages and disadvantages to conducting survivorship research within the cooperative group setting. Behavioral researchers currently involved in cooperative groups, as well as program staff within the NCI, can serve as sources of information for those wishing to pursue symptom management and survivorship studies within the clinical trial setting. The structure of the cooperative groups is currently changing, but going forward, survivorship is bound to be a topic of interest and one that perhaps may be more easily addressed using the proposed more centralized structure. Cancer Epidemiol Biomarkers Prev; 20(5); 1050–5. ©2011 AACR.