Home-Based Telemedicine in Rheumatology-A Scoping Review.

OBJECTIVE: We performed a scoping review of the relevant literature on home-based telehealth in rheumatology to understand its appropriate application in rheumatology practice. METHODS: We searched the Cochrane Library, PubMed, Web of Science, and scientific meeting abstracts to identify articles that specifically addressed telehealth suitability, barriers to telehealth, patient-reported outcomes (PROs) collected in telehealth settings, and telehealth satisfaction. From the initial search of 4,882 studies, 23 reports were included. In addition, 10 abstracts were also eligible for analysis, resulting in a total of 33 articles: 2 randomized clinical trials, 9 prospective cohort studies, and 22 retrospective studies. RESULTS: We found that triage appointments or predictive models could be helpful in selecting patients for telehealth and that telehealth interventions were appropriate for follow-up of patients with systemic lupus erythematosus and inflammatory arthritis, but that conducting new patient visits over telehealth was not ideal. Barriers to telehealth include patient factors (age, technology access) and need for physician/process factors (eg, physical examinations). PROs collected in regular practice can be incorporated into telehealth. Several small, single-center studies suggest that telehealth does not lead to negative outcomes compared with in-person visits, and overall, patients report high patient satisfaction with telehealth. In several scenarios, home-based telehealth was equivalent to in-person visits with regard to patient outcomes and satisfaction. CONCLUSION: The widespread potential of telehealth to manage and deliver care for people with rheumatic disease is significant. As such, further research in the form of randomized controlled trials can help contribute to growing evidence that shapes telehealth implementation for patients with rheumatic diseases.

Using Patient-Reported Health Data From Social Media to Identify Diverse Lupus Patients and Assess Their Symptom and Medication Expressions: A Feasibility Study.

OBJECTIVE: Patient communities use social media for peer support and information seeking. This study assessed the feasibility of using public patient-generated health data from the social network Twitter to identify diverse lupus patients and gather their perspectives about disease symptoms and medications. METHODS: We extracted public lupus-related Twitter messages (n = 47,715 tweets) in English posted by users (n = 8,446) in the US between September 1, 2017 and October 31, 2018. We analyzed the data to describe lupus patients and the expressed themes (symptoms and medications). Two independent coders analyzed the data; Cohen's kappa coefficient was used to ensure interrater reliability. Differences in symptom and medication expressions were analyzed using 2-tailed Z tests and a combination of 1-way analysis of variance tests and unpaired t-tests. RESULTS: We found that lupus patients on Twitter are diverse in gender and race: approximately one-third (34.64%, 62 of 179) were persons of color (POCs), and 85.47% were female. The expressed disease symptoms and medications varied significantly by gender and race. Most of our findings correlated with documented clinical observations, e.g., expressions of general pain (8.39%, 709 of 8,446), flares (6.05%, 511 of 8,446), and fatigue (4.18%, 353 of 8,446). However, our data also revealed less well-known patient observations, e.g., possible racial disparities within ocular manifestations of lupus. CONCLUSION: Our results indicate that social media surveillance can provide valuable data of clinical relevance from the perspective of lupus patients. The medical community has the opportunity to harness this information to inform the patient-centered care within underrepresented patient groups, such as POCs.

Virtual Reality-Based Biofeedback and Guided Meditation in Rheumatology: A Pilot Study.

OBJECTIVE: As technology continues to improve, it plays an increasingly vital role in the practice of medicine. This study aimed to assess the feasibility of the implementation of virtual reality (VR) in a rheumatology clinic as a platform to administer guided meditation and biofeedback as a means of reducing chronic pain. METHODS: Twenty participants were recruited from a rheumatology clinic. These participants included adults with physician-diagnosed autoimmune disorders who were on a stable regimen of medication and had a score of at least 5 on the pain Visual Analog Scale (VAS) for a minimum of 4 days during the prior 30 days. VAS, part of most composite outcome measurements in rheumatology, is an instrument used to assess pain that consists of a straight line with the endpoints ranging from "no pain at all" and "pain as bad as it could be." Patients were randomized into two groups that differed in the order in which they experienced the two VR modules. One module consisted of a guided meditation (GM) environment, whereas the other module consisted of a respiratory biofeedback (BFD) environment. Data on pain and anxiety levels were gathered before, during, and after the two modules. RESULTS: The three most common diagnoses among participants were rheumatoid arthiritis (RA), lupus, and fibromyalgia. There was a significant reduction in VAS scores after BFD and GM (P values = 0.01 and 0.04, respectively). There was a significant reduction in Facial Anxiety Scale after the GM compared with the BFD (P values = 0.02 and 0.08, respectively). CONCLUSION: This novel study demonstrated that VR could be a feasible solution for the management of pain and anxiety in rheumatology patients. Further trials with varying treatment exposures and durations are required to solidify the viability of VR as a treatment option in rheumatology clinics.

Dietary intake and cognitive function: evidence from the Bogalusa Heart Study.

BACKGROUND: Dementia and late-life cognitive decline are leading causes of death and disability in the United States. Prevention of these diseases, by maintaining brain health throughout the life course, is essential. Diet and lifestyle changes are the chief strategies aimed at primary prevention for many of the risk factors of cognitive decline. OBJECTIVE: The aim of this study was to examine the potential impact of dietary factors on cognitive function. METHODS: This prospective cohort study followed 516 young adults through midlife. The Youth/Adolescent Questionnaire was used to collect habitual nutrition data (mean age: 32.03 ± 5.96 y) at baseline. Scores from a neurocognitive battery were used to assess cognitive function (mean age: 49.03 ± 4.86 y) at follow-up and were transformed to z scores. Separate multivariable-adjusted linear regression models were fitted. The trend across quintiles for each dietary variable was assessed. RESULTS: Vitamin B-6, whole grains, processed meats, and foods fried at home all displayed significant linear trends in their relation with cognitive function. Dietary intake of vitamin B-6 and whole grains was directly associated with better cognitive function after adjustment for age, race, sex, and total calorie intake (ß coefficient from linear regression and SE: 1.755 ± 0.621, P = 0.005, and 0.001 ± 0.000, P = 0.018, respectively). Processed meat and foods fried at home consistently displayed inverse associations with cognitive function across crude and adjusted models (linear trend P values were 0.05 and <0.0001, respectively). CONCLUSIONS: Our findings suggest that dietary consumption in young adulthood may affect cognitive function in midlife. Strong associations between dietary intake and cognition were observed in our analysis, but as with all observational studies, the possibility of residual confounding cannot be excluded.