Evidence map›Paper›PMID 36385973›Full record

ArticleClinical diabetes : a publication of the American Diabetes Association2022

Impact of the COVID-19 Pandemic on Type 2 Diabetes Care Delivery.

Stephanie A Hooker, Anjali Truitt, Jeffrey P Anderson, Sheryl Kane, Patrick J O'Connor, JoAnn M Sperl-Hillen

Open access · bronzeAbstract read
In one paragraph

Article in Clinical diabetes : a publication of the American Diabetes Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
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  7. First Real-World Experience With Bigfoot Unity: A 6-Month Retrospective Analysis.Clinical diabetes : a publication of the American Diabetes Association · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Stephanie A HookerHealthPartners Institute, Research Division, Minneapolis, MN.ORCID https://orcid.org/0000-0003-4222-7046
Anjali TruittHealthPartners Institute, Research Division, Minneapolis, MN.
Jeffrey P AndersonHealthPartners Institute, Research Division, Minneapolis, MN.
Sheryl KaneHealthPartners Institute, Research Division, Minneapolis, MN.
Patrick J O'ConnorHealthPartners Institute, Research Division, Minneapolis, MN.ORCID https://orcid.org/0000-0002-2324-6228
JoAnn M Sperl-HillenHealthPartners Institute, Research Division, Minneapolis, MN.
HealthPartners · USSchlumberger (Ireland) · IE

Funding

Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
NIDDK NIH HHS P30 DK092924
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic instigated major changes in care delivery, but our understanding of how the rapid transition from in-person to telehealth encounters affected the care of patients with chronic conditions such as type 2 diabetes remains incomplete. This study examined changes in primary care encounters, A1C testing rates, and the likelihood of meeting A1C guidelines before and during the first 9 months of the COVID-19 pandemic in a large health care system. It found significant decreases in utilization and testing rates and the likelihood of meeting A1C guidelines, primarily driven by missing A1C tests. Patients who had all telehealth encounters or no encounters, who identified as racial or ethnic minorities, or had Medicaid or no insurance were significantly more likely to miss A1C tests.

Identifiers

PMID36385973
PMCPMC9606553
OpenAlexW4221048852

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.