Association between telemedicine use and diabetes risk factor assessment and control in a primary care network.

PURPOSE: Our study examined whether telemedicine use in primary care is associated with risk factor assessment and control for patients with diabetes mellitus. METHODS: This was a retrospective, 1:1 propensity score matched cohort study conducted in a primary care network between February 2020 and December 2020. Participants included patients with diabetes mellitus, ages 18 to 75. Exposure of interest was any telemedicine visit. We determined whether hemoglobin A1c (HbA1c), blood pressure (BP) and low-density lipoprotein cholesterol (LDL-C) were assessed for each patient. For each risk factor, we also determined whether the risk factor was controlled when they were assessed (i.e., last HbA1c < 8.0%, BP < 130/80 mmHg, LDL-C < 100 mg/dL). RESULTS: After 1:1 propensity score matching, we identified 1,824 patients with diabetes during the study period. Telemedicine use was associated with a lower proportion of patients with all three risk factors assessed (162/912 [18%], versus 408/912 [45%], p < 0.001). However, when individual risk factors were assessed, telemedicine use did not impact risk factor control. When compared with patients with in-person visit only, the odds ratio (OR) for HbA1c < 8% was 1.04 (95% CI 0.74 to 1.46, p = 0.23) for patients with any telemedicine visit. Similarly, the OR for BP < 130/80 mmHg was 1.08 (95% CI 0.85-1.36 p = 0.53), and the OR for LDL-C < 100 mg/dL was 1.14 (95% CI 0.76-1.72, p = 0.52). CONCLUSIONS: Telemedicine use was associated with gaps in risk factor assessment for patients with diabetes during the COVID-19 pandemic, but had limited impact on whether risk factors were controlled.

Impact of telemedicine use on blood pressure control during the covid-19 pandemic

Background: Telemedicine use vastly expanded during the Covid-19 pandemic, with uncertain impact on cardiovascular care. quality. Objectives: To examine the association between telemedicine use and blood pressure (BP) control. Methods: This is a retrospective cohort study of 32,727 adult patients with hypertension (HTN) seen in primary care and cardiology clinics at an urban, academic medical center from February to December, 2020. The primary outcome was poor BP control, defined as having no BP recorded OR if the last recorded BP was ≥140/90 mmHg. Multivariable logistic regression was used to assess the association between telemedicine use during the study period (none, 1 telemedicine visit, 2+ telemedicine visits) and poor BP control, adjusting for demographic and clinical characteristics. Results: During the study period, no BP was recorded for 486/20,745 (2.3%) patients with in-person visits only, for 1,863/6,878 (27.1%) patients with 1 telemedicine visit, and for 1,277/5,104 (25.0%) patients with 2+ telemedicine visits. After adjustment, telemedicine use was associated with poor BP control (odds ratio [OR], 2.06, 95% confidence interval [CI] 1.94 to 2.18, p<0.001 for 1 telemedicine visit, and OR 2.49, 95% CI 2.31 to 2.68, p<0.001 for 2+ telemedicine visits;reference, in-person visit only). This effect disappears when analysis was restricted to patients with at least one recorded BP (OR 0.89, 95% CI 0.83 to 0.95, p=0.001 for 1 telemedicine visit, and OR 0.91, 95% CI 0.83 to 0.99, p=0.03 for 2+ telemedicine visits). Conclusions: BP is less likely to be recorded during telemedicine visits, but telemedicine use does not negatively impact BP control when BP is recorded.