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.

HIV and HCV health beliefs in an inner-city community.

Chronic infection with the hepatitis C virus (HCV) is more prevalent than human immunodeficiency virus (HIV) infection, but more public health resources are allocated to HIV than to HCV. Given shared risk factors and epidemiology, we compared accuracy of health beliefs about HIV and HCV in an at-risk community. Between 2002 and 2003, we surveyed a random patient sample at a primary care clinic in New York. The survey was organized as domains of Common Sense Model of Self-Regulation: causes ('sharing needles'), timeline/consequences ('remains in body for life', 'causes cancer') and controllability ('I can avoid this illness', 'medications may cure this illness'). We compared differences in accuracy of beliefs about HIV and HCV and used multivariable linear regression to identify factors associated with relative accuracy of beliefs. One hundred and twenty-two subjects completed the survey (response rate 42%). Mean overall health belief accuracy was 12/15 questions (80%) for HIV vs 9/15 (60%) for HCV (P < 0.001). Belief accuracy was significantly different across all domains. Within the causes domain, 60% accurately believed sharing needles a risk factor for HCV compared to 92% for HIV (P < 0.001). Within the timeline/consequences domain, 42% accurately believed HCV results in lifelong infection compared to 89% for HIV (P < 0.001). Within the controllability domain, 25% accurately believed that there is a potential cure for HCV. Multivariable linear regression revealed female gender as significantly associated with greater health belief accuracy for HIV. Thus, study participants had significantly less accurate health beliefs about HCV than about HIV. Targeting inaccuracies might improve public health interventions to foster healthier behaviours and better hepatitis C outcomes.