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Association between telemedicine use and diabetes risk factor assessment and control in a primary care network.
Grauer, A; Duran, A T; Liyanage-Don, N A; Torres-Deas, L M; Metser, G; Moise, N; Kronish, I M; Ye, S.
  • Grauer A; Department of Medicine, Columbia University Irving Medical Center, 630 West 168th street PH 9E-117, New York, NY, 10032, USA. ag4338@cumc.columbia.edu.
  • Duran AT; Center for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, USA. ag4338@cumc.columbia.edu.
  • Liyanage-Don NA; Department of Medicine, Columbia University Irving Medical Center, 630 West 168th street PH 9E-117, New York, NY, 10032, USA.
  • Torres-Deas LM; Department of Medicine, Columbia University Irving Medical Center, 630 West 168th street PH 9E-117, New York, NY, 10032, USA.
  • Metser G; Department of Medicine, Columbia University Irving Medical Center, 630 West 168th street PH 9E-117, New York, NY, 10032, USA.
  • Moise N; Department of Medicine, Columbia University Irving Medical Center, 630 West 168th street PH 9E-117, New York, NY, 10032, USA.
  • Kronish IM; Department of Medicine, Columbia University Irving Medical Center, 630 West 168th street PH 9E-117, New York, NY, 10032, USA.
  • Ye S; Department of Medicine, Cardiology, Columbia University Irving Medical Center, New York, NY, USA.
J Endocrinol Invest ; 45(9): 1749-1756, 2022 Sep.
Article in English | MEDLINE | ID: covidwho-1859188
ABSTRACT

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, 11 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 11 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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / Diabetes Mellitus / Diabetes Mellitus, Type 2 / COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study Limits: Adolescent / Adult / Aged / Humans / Middle aged / Young adult Language: English Journal: J Endocrinol Invest Year: 2022 Document Type: Article Affiliation country: S40618-022-01814-6

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / Diabetes Mellitus / Diabetes Mellitus, Type 2 / COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study Limits: Adolescent / Adult / Aged / Humans / Middle aged / Young adult Language: English Journal: J Endocrinol Invest Year: 2022 Document Type: Article Affiliation country: S40618-022-01814-6