Chronic venous leg ulcers (CVLUs) affect millions of individuals worldwide, causing considerable suffering, disability and poor quality of life. The objective of this study is to assess stressors, symptoms, and biomarkers associated with lonely and non-lonely adults living with CVLUs. The results from this study are expected to improve our understanding of the mechanisms in the body that are common to loneliness and inflammation and lead towards to the development of a tool that can predict wound healing potential among persons with chronic wounds.
The purpose of this research study is to find out if a wearable bandage with sensors in it and over a chronic wound can accurately tell if a patient's wound is healing or not. Normally, clinician inspection of the wound along with swab cultures are used to assess the healing status of chronic wounds. This study employs artificial intelligence techniques through deep machine learning to look for predictive modeling of wound healing from wound fluid. 10 participants will be enrolled at the UNC Pardee Wound Healing Clinic in North Carolina, USA.
The overall goal of this feasibility study is to evaluate an individualize behavioral health program that leverages home telehealth technology to 1) directly teach low and fixed income older adults residing in the community to reduce their pain and fatigue by improving mobility; and, 2). to teach caregivers of persons with dementia to reduce stress, fatigue, and promote their and their loved-ones quality of life.. Specifically, the integrated intervention includes components to address (1) balance and fall prevention (Otago), (2) strengthening and mindfulness (Yoga), and importantly, (3) affective state and social support which are crucial to maintaining motivation (Behavioral Activation). Moreover, these 3 best practices interventions will be enhanced by integrating physical activity data tracking to complement self-report measures, the former of which will be available in real time for patient and provider review, with parameter violations (eg, non-activity during scheduled activity time; overall activity level lower for a set period of time) triggering brief telehealth sessions to address any problems. Finally, participant qualitative feedback will be captured through voice/video recorded diaries focusing on experienced pain, fatigue, sleep, personal reactions to the project and physical activity as well as technology issues they may encounter.