The Impact of Telemedicine on Quality of Care for Patients with Diabetes After March 2020
The Impact of Telemedicine on Quality of Care for Patients
with Diabetes After March 2020
Jacob K. Quinton, MD, MSHS1 , Michael K Ong, MD, PhD1,4,5,
Catherine Sarkisian, MD, MSHS1,3, Alejandra Casillas, MD, MSHS1, Sitaram Vangala, MS1,
Preeti Kakani, BS2, and Maria Han, MD, MSHS1
1
Division of General Internal Medicine and Health Services Research, Department of Medicine, University of California, 1100 Glendon Ave, Suite
900, Los Angeles, CA, USA; 2David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; 3Geriatrics Research
Education and Clinical Center, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA; 4Department of Health Policy &
Management, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA; 5VA Center for the Study of Healthcare
Innovation, Implementation and Policy (CSHIIP), Los Angeles, CA, USA.
BACKGROUND: The impact of telemedicine on ambulatory care quality is a key question for policymakers as they
navigate payment reform for remote care.
OBJECTIVE: To evaluate whether utilizing telemedicine in
the first 9 months of the COVID-19 pandemic impacted
performance on a diabetes quality of care measure for patients at a large academic medical center. We hypothesized
care quality would reduce less among telemedicine users.
DESIGN: Quasi-experimental design using binomial logistic regression. Covariates included age, gender, race,
ethnicity, type of insurance, hierarchical condition category score, primary language at the individual level, and
zip code–level income.
PARTICIPANTS: All adult patients younger than 75 years
of age diagnosed with type 2 diabetes mellitus (N = 16,588)
as of 3/19/2020 at a single academic health center.
INTERVENTIONS: Completion of one or more telemedicine
encounters with an institutional primary care physician or
endocrinologist between 3/19/2020 and 12/19/2020.
MAIN MEASURES: The components met in a five-item
composite measure of diabetes quality of care, as of patients’ last clinical encounter. Items were (1) systolic blood
pressure less than 140 mmHg, (2) hemoglobin A1c less
than 8.0%, (3) using a statin and (4) aspirin, and (5)
tobacco non-use.
KEY RESULTS: From the pre- to post-period, the probability of meeting any given component of the composite
measure for patients only utilizing in-person care was
21% lower (OR, 95% CI 0.79; 0.76, 0.81) and for the
telemedicine users 2% lower (OR 0.98; 0.85, 1.13). There
was an increased likelihood of meeting any given
Key Points
1. Question: How has the use of telemedicine since March 2020 impacted
quality of care for chronic diseases like diabetes?
2. Findings: Since implementation of telemedicine in March 2020, patients
with diabetes utilizing telemedicine in addition to in-person care achieved
similar quality outcomes, while the quality outcomes for patients utilizing
only in-person care declined.
3. Meaning: Use of telemedicine in addition to in-person care maintained
quality of care for patients with diabetes in the early pandemic at one
academic center.
Received August 4, 2021
Accepted December 16, 2021
component among telemedicine users compared to inperson care alone (OR 1.25; 1.08, 1.44).
CONCLUSIONS: Patients with diabetes utilizing telemedicine performed similarly on a composite measure of diabetes care quality compared to before the pandemic.
Those not utilizing telemedicine had reductions. Telemedicine use maintained quality of care for patients with diabetes during the first 9 months of the COVID-19 pandemic.
J Gen Intern Med
DOI: 10.1007/s11606-021-07367-3
This is a U.S. government work and not under copyright protection in the
U.S.; foreign copyright protection may apply 2022. This article is an open
access publication
BACKGROUND
The coronavirus disease 19 (COVID-19) pandemic and the
subsequent public health emergency (PHE) triggered a more
than twenty-fold increase in telemedicine utilization over a 2week period in March 2020 in order to maintain access to
services while mitigating the threat of possible COVID-19
transmission. As in-person visits sharply declined, the proportion of ambulatory care delivered via telemedicine (defined as
both audio-only and audio-video encounters) increased to
peak at nearly half of all ambulatory encounters in June 2020.1
Subsequently, telemedicine encounters fell with the resumption of in-person care, but telemedicine visit volume persisted
at nearly a quarter of total ambulatory encounters for the first 9
months of the pandemic. This “blend” of in-person and remote
care in the ambulatory setting transformed office-based medical practice. The durability of this blended model of ambulatory care will depend on not just the changes in access,1–4
possible exacerbations of disparities,5–9 but also whether or
not remote care is of the same quality as care delivered in
person.
The expansion of telemedicine during the PHE was supported by many temporary waivers of telemedicine regulations
by the Centers for Medicare and Medicaid Services (CMS) to
increase capacity, expand workforce, reduce administrative
Quinton et al.: Impact of Telemedicine on Ambulatory Care Quality
burden, and otherwise expand telemedicine services.10 Telehealth has been previously demonstrated to improve chronic
disease management11–14 for small pilots of patients with
diabetes. A widely cited meta-analysis included more than
forty randomized trials15–18 mostly used telemonitoring.19
Broad populations have been studied including a randomized
intervention considering quality of care domains for veterans,20 and among older, racially diverse populations.13 Despite this evidence until the COVID-19-related PHE, there has
not been broad, population-wide telemedicine utilization, and
previous studies were subject to the generalizability issues
inherent in smaller demonstrations.
The Medicare Payment Advisory Commission (MedPAC)
has recommended continuation of coverage for telemedicine
for 1–2 years after the end of the PHE in order to gather data
on access, quality, and cost of care,21 which was recently
incorporated in the most recent CMS physician fee scale.22
Our study objective was to evaluate the impact of remote
audio-video encounter utilization on the quality of care for
patients with diabetes at a large academic medical center in the
first 9 months of the PHE.23
METHODS
Data Sources
We analyzed electronic medical record (EMR) data for all
patients who were identified by our institutional population
registry as having type 2 diabetes mellitus (DM) as of
March 19, 2020. We abstracted the following variables from
our institution’s electronic medical record (EMR) at the individual level: decade of age, gender, race, ethnicity, category of
insurance (Medicare, commercial, Medicaid, or institutional
managed care plan), systolic blood pressure, hemoglobin A1c,
aspirin and/or statin prescription, smoking status, ambulatory
visits to primary care, endocrinology, and oth (...truncated)