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Patient Characteristics Associated with Telemedicine Use for Diabetes Mellitus Care: Experience of a University Health System.
Hari, Krupal; O'Connell, Nathaniel; Taylor, Yhenneko J; Moore, Justin B; Bosworth, Hayden; Hanchate, Amresh; Pokharel, Yashashwi.
Affiliation
  • Hari K; From the Department of Internal Medicine, Section of Cardiovascular Medicine, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina.
  • O'Connell N; Biostatistics and Data Science, Comprehensive Cancer Center, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina.
  • Taylor YJ; Center for Outcomes Research and Evaluation, Atrium Health, Charlotte, North Carolina.
  • Moore JB; Department of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
  • Bosworth H; Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Medical Center, Durham, North Carolina.
  • Hanchate A; Social Sciences and Health Policy, Office of Global Health, Critical Illness, Injury, and Recovery Research Center, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina.
  • Pokharel Y; From the Department of Internal Medicine, Section of Cardiovascular Medicine, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina.
South Med J ; 117(1): 16-22, 2024 01.
Article in En | MEDLINE | ID: mdl-38151246
ABSTRACT

OBJECTIVES:

The objective was to understand the characteristics of patients who used telemedicine for diabetes management to inform future implementation of telemedicine.

METHODS:

We examined patient characteristics associated with telemedicine use for diabetes mellitus (DM) care between March 1, 2020 and April 1, 2021 (the coronavirus disease 2019 pandemic period) in a large university health system when telemedicine visits increased rapidly. Logistic regression models assessed patient characteristics associated with telemedicine visits and delays in DM process measures (hemoglobin A1c checks, nephropathy, and retinopathy evaluations) during the pandemic period after adjusting for potential confounders and corresponding values before the pandemic period (March 1, 2019-February 29, 2020).

RESULTS:

A total of 45,159 patients were seen from 987,791 visits during the pandemic period. The number of visits averaged one visit less during the pandemic period than before the pandemic period. Approximately 5.4% of patients used telemedicine during the pandemic period from 42,750 visits. The mean (standard deviation) telemedicine visit was 1.28 (0.91). Men, Asian, Black, and other race (vs White), having Medicare or uninsured (vs private insurance), were less likely to use telemedicine. Patients with more visits before the pandemic period were more likely to use telemedicine and less likely to experience a delay in DM process measures during the pandemic period. Telemedicine users were 18% less likely to experience a delay in nephropathy visits than nonusers, but without difference for other process measures.

CONCLUSIONS:

Race, sex, insurance, and prepandemic in-person visits were associated with telemedicine use for DM management in a large health system. Telemedicine use was not associated with delays in hemoglobin A1c testing, nephropathy, and retinopathy assessments. Understanding reasons for not using telemedicine is important to be able to deliver equitable DM care.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Retinal Diseases / Telemedicine / Diabetes Mellitus Limits: Aged / Humans / Male Country/Region as subject: America do norte Language: En Journal: South Med J Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Retinal Diseases / Telemedicine / Diabetes Mellitus Limits: Aged / Humans / Male Country/Region as subject: America do norte Language: En Journal: South Med J Year: 2024 Document type: Article