A pioneering EMR-embedded digital health literacy tool reveals healthcare disparities for diverse older adults.

BACKGROUND: The COVID-19 pandemic transformed healthcare delivery with the rapid adoption of telehealth and digital technologies to access healthcare. Interventions are needed to ensure that older people in underserved communities do not face new technology-driven healthcare disparities. This article describes pioneering electronic medical record (EMR) embedded tools to assess and support each diverse patient's digital health literacy. METHODS: We designed and validated a rapid EMR-embedded Digital Health Engagement Tool (DHET) to assess each patient's digital literacy in English and Spanish. We built a separate, EMR-generated auto-scoring function to assess patient use of telehealth and healthcare navigation as recorded within the EMR. Combined, the tools created a complete digital literacy assessment for each patient. We then deployed the tools to conduct a pilot study to elucidate disparities. RESULTS: A total of 112 ethnic/racial diverse older patients were enrolled (mean age was 78, ranging from 57 to 96) years (SD = 8.04). The female participants were 72.3%. Among the participants, non-Hispanic Whites were 47.3%; Hispanic 25.0%; non-Hispanic Asian 19.6%; non-Hispanic others (including multi-race and non-Hispanic Black/African Americans) 8.0%. Digital literacy disparities were revealed for older adults, particularly those over 70 years old, female gender, and those reporting relying on a helper. CONCLUSION: New EMR-embedded tools enable healthcare systems to assess the ability of patients to navigate and utilize EMR capabilities, such as video telehealth appointments, messaging providers, reviewing labs/radiology reports, and requesting prescriptions. The study identified significant challenges for older patients in navigating EMRs and calls for healthcare systems to better support patient learning.

Role of High-resolution Ultrasonography in the Evaluation of the Tibial and Median Nerves in Diabetic Peripheral Neuropathy.

Aim: To evaluate and measure the mean cross-sectional area of the tibial and median nerves in patients with diabetic peripheral neuropathy, and to study the association between high-resolution ultrasonographic findings in diabetic peripheral neuropathy with the duration of illness, glycosylated haemoglobin values, random blood sugar levels, and aesthesiometry (using monofilament examination). Material and methods: A prospective observational study was conducted among 63 patients who were diagnosed with type 2 diabetes mellitus and underwent ultrasound and monofilament examinations. The cross-sectional area of the median nerve of the dominant hand and the tibial nerves was calculated on ultrasound examination. Results: The mean cross-sectional area of the median and tibial nerves was higher in patients with poor glycaemic control, with the mean cross-sectional area of the median nerve being 10.9, 12.8, 13.0, and 12.9 mm2 at various points in the leg in cases where the monofilament examination was negative, as compared to 7.30, 7.78, 7.91, 7.87 mm2 in patients with positive monofilament examination results. There was a significant positive correlation between the cross-sectional area of the tibial and median nerves and HbA1c, duration of diabetes, aesthesiometry, and random blood sugar levels. With an increase in HbA1c, duration of diabetes, and random blood sugar levels, there was a corresponding increase in the cross-sectional area of the nerves. These findings helped us to identify diabetic peripheral neuropathy. Conclusions: High-resolution ultrasonography along with aesthesiometry and HbA1c values can be an effective and easily available tool for detecting changes secondary to diabetic peripheral neuropathy. The method has a potential to replace or substitute nerve conduction tests in the near future.