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Type 2 Diabetes Management, Control and Outcomes During the COVID-19 Pandemic in Older US Veterans: an Observational Study.
Aubert, Carole E; Henderson, James B; Kerr, Eve A; Holleman, Rob; Klamerus, Mandi L; Hofer, Timothy P.
  • Aubert CE; Department of General Internal Medicine, Bern University Hospital, Inselspital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland. caroleelodie.aubert@insel.ch.
  • Henderson JB; Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland. caroleelodie.aubert@insel.ch.
  • Kerr EA; Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA. caroleelodie.aubert@insel.ch.
  • Holleman R; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA. caroleelodie.aubert@insel.ch.
  • Klamerus ML; Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA.
  • Hofer TP; Consulting for Statistics, Computing & Analytics Research (CSCAR), University of Michigan, Ann Arbor, MI, USA.
J Gen Intern Med ; 37(4): 870-877, 2022 03.
Article in English | MEDLINE | ID: covidwho-1611493
ABSTRACT

BACKGROUND:

The COVID-19 pandemic required a change in outpatient care delivery models, including shifting from in-person to virtual visits, which may have impacted care of vulnerable patients.

OBJECTIVE:

To describe the changes in management, control, and outcomes in older people with type 2 diabetes (T2D) associated with the shift from in-person to virtual visits. DESIGN AND

PARTICIPANTS:

In veterans aged ≥ 65 years with T2D, we assessed the rates of visits (in person, virtual), A1c measurements, antidiabetic deintensification/intensification, ER visits and hospitalizations (for hypoglycemia, hyperglycemia, other causes), and A1c level, in March 2020 and April-November 2020 (pandemic period). We used negative binomial regression to assess change over time (reference pre-pandemic period, July 2018 to February 2020), by baseline Charlson Comorbidity Index (CCI; > 2 vs. <= 2) and A1c level. KEY

RESULTS:

Among 740,602 veterans (mean age 74.2 [SD 6.6] years), there were 55% (95% CI 52-58%) fewer in-person visits, 821% (95% CI 793-856%) more virtual visits, 6% (95% CI 1-11%) fewer A1c measurements, and 14% (95% CI 10-17%) more treatment intensification during the pandemic, relative to baseline. Patients with CCI > 2 had a 14% (95% CI 12-16%) smaller relative increase in virtual visits than those with CCI <= 2. We observed a seasonality of A1c level and treatment modification, but no association of either with the pandemic. After a decrease at the beginning of the pandemic, there was a rebound in other-cause (but not hypo- and hyperglycemia-related) ER visits and hospitalizations from June to November 2020.

CONCLUSION:

Despite a shift to virtual visits and a decrease in A1c measurement during the pandemic, we observed no association with A1c level or short-term T2D-related outcomes, providing some reassurance about the adequacy of virtual visits. Further studies should assess the longer-term effects of shifting to virtual visits in different populations to help individualize care, improve efficiency, and maintain appropriate care while reducing overuse.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Veterans / Telemedicine / Diabetes Mellitus, Type 2 / COVID-19 Type of study: Observational study / Prognostic study Limits: Aged / Humans Language: English Journal: J Gen Intern Med Journal subject: Internal Medicine Year: 2022 Document Type: Article Affiliation country: S11606-021-07301-7

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Veterans / Telemedicine / Diabetes Mellitus, Type 2 / COVID-19 Type of study: Observational study / Prognostic study Limits: Aged / Humans Language: English Journal: J Gen Intern Med Journal subject: Internal Medicine Year: 2022 Document Type: Article Affiliation country: S11606-021-07301-7