ABSTRACT
The authors share a model that facilitates patient-centered care and can be adopted by other health systems to encourage successful care transitions for the traveling patient.
Subject(s)
Patient Transfer , Patient-Centered Care , HumansABSTRACT
BACKGROUND AND AIMS: A rapid increase in the use of telemedicine for delivering healthcare has occurred since the onset of the Covid-19 pandemic. There is evidence for using telemedicine to facilitate cancer care delivery for patients with hepatocellular carcinoma (HCC). Examining how telemedicine can be used to communicate multidisciplinary tumor board (MTB) recommendations for HCC has not been studied. This study has two specific aims: (1) to evaluate the patient perspective of the MTB review process and identify best strategies for communicating treatment recommendations for HCC and (2) to pilot test a telemedicine intervention following MTB review to assess patient feasibility and satisfaction with using telemedicine to facilitate treatment decision-making and treatment referral. METHODS: We conducted a mixed-methods study. First, semi-structured qualitative interviews were conducted among patients diagnosed with HCC who were discussed in MTB review at one of three VA Medical Centers (VAMC). We collected information about the MTB process from the patient perspective and identified strategies for improving communication and delivery of care. Rapid qualitative analysis was used to inform intervention development. Using our qualitative data, a MTB telemedicine pilot intervention was developed and implemented to assess the feasibility of using this approach for patients with HCC. RESULTS: Almost all patients (94%) in the pilot study would recommend telemedicine to other patients with HCC, and half of the patients (50%) preferred telemedicine over in-person visits. Many patients (81%) found communication through telemedicine an acceptable platform to deliver difficult cancer information. Overall, patients felt they understood their treatment recommendations and found them clear and useful. Further, patients reported that they enjoyed being included in the decision-making process and appreciated being able to have family members easily join them for the telemedicine visit. CONCLUSIONS: Using telemedicine to communicate treatment recommendations following MTB review was found to be feasible and an acceptable alternative to an in-person visit for patient with HCC. Future studies could include expanding this approach for communicating MTB recommendations to patients with other types of cancers.
ABSTRACT
OBJECTIVE: Cancer-related fatigue (CRF) is highly prevalent among cancer survivors, which may have long-term effects on physical activity and quality of life. CRF is assessed by self-report or clinical observation, which may limit timely diagnosis and management. In this study, we examined the effect of CRF on mobility performance measured by a wearable pendant sensor. METHODS: This is a secondary analysis of a clinical trial evaluating the benefit of exercise in cancer survivors with chemotherapy-induced peripheral neuropathy (CIPN). CRF status was classified based on a Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) score ≤ 33. Among 28 patients (age = 65.7±9.8 years old, BMI = 26.9±4.1kg/m2, sex = 32.9%female) with database variables of interest, twenty-one subjects (75.9%) were classified as non-CRF. Mobility performance, including behavior (sedentary, light, and moderate to vigorous activity (MtV)), postures (sitting, standing, lying, and walking), and locomotion (e.g., steps, postural transitions) were measured using a validated pendant-sensor over 24-hours. Baseline psychosocial, Functional Assessment of Cancer Therapy-General (FACT-G), Falls Efficacy Scale-International (FES-I), and motor-capacity assessments including gait (habitual speed, fast speed, and dual-task speed) and static balance were also performed. RESULTS: Both groups had similar baseline clinical and psychosocial characteristics, except for body-mass index (BMI), FACT-G, FACIT-F, and FES-I (p<0.050). The groups did not differ on motor-capacity. However, the majority of mobility performance parameters were different between groups with large to very large effect size, Cohen's d ranging from 0.91 to 1.59. Among assessed mobility performance, the largest effect sizes were observed for sedentary-behavior (d = 1.59, p = 0.006), light-activity (d = 1.48, p = 0.009), and duration of sitting+lying (d = 1.46, p = 0.016). The largest correlations between mobility performance and FACIT-F were observed for sitting+lying (rho = -0.67, p<0.001) and the number of steps per day (rho = 0.60, p = 0.001). CONCLUSION: The results of this study suggest that sensor-based mobility performance monitoring could be considered as a potential digital biomarker for CRF assessment. Future studies warrant evaluating utilization of mobility performance to track changes in CRF over time, response to CRF-related interventions, and earlier detection of CRF.