Evidence map›Paper›PMID 38230345›Full record

ArticleClinical diabetes : a publication of the American Diabetes Association2024

Institutional Barriers to the Successful Implementation of Telemedicine for Type 1 Diabetes Care.

Joyce M Lee, Emma Ospelt, Nudrat Noor, Ann Mungmode, Osagie Ebekozien, Meenal Gupta, Faisal S Malik, Naomi R Fogel, Siham Accacha, Susan Hsieh and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical diabetes : a publication of the American Diabetes Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Factors Affecting Telehealth Consultation in Diabetic Patients: A Systematic Scoping Review.International journal of telemedicine and applications · 2026
    Review
  2. Article
  3. Improving Care for People With Type 1 Diabetes.Clinical diabetes : a publication of the American Diabetes Association · 2024
    Article
  4. Article
  5. 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

14 authors at 10 institutions in 1 country.

Joyce M LeeSusan B. Meister Child Health Evaluation and Research Center, C.S. Mott Children's Hospital, Ann Arbor, MI.
Emma OspeltT1D Exchange, Boston, MA.ORCID https://orcid.org/0000-0002-4723-001X
Nudrat NoorT1D Exchange, Boston, MA.
Ann MungmodeT1D Exchange, Boston, MA.
Osagie EbekozienT1D Exchange, Boston, MA.
Meenal GuptaSeattle Children's Hospital, University of Washington, Seattle, WA.
Faisal S MalikSeattle Children's Hospital, University of Washington, Seattle, WA.
Naomi R FogelAnn & Robert Lurie Children's Hospital, Chicago, IL.
Siham AccachaSchool of Medicine NYU Long Island, Mineola, NY.
Susan HsiehCook Children's Hospital, Fort Worth, TX.
Meredith WilkesIcahn School of Medicine at Mt. Sinai, New York, NY.
Anna NeymanIndiana University School of Medicine, Riley Children's Hospital, Indianapolis, IN.
Francesco VendrameUniversity of Miami Miller School of Medicine, Miami, FL.
T1D Exchange Quality Improvement Collaborative
T1D Exchange · USSeattle Children's Hospital · USCook Children's Medical Center · USC. S. Mott Children's Hospital · USIcahn School of Medicine at Mount Sinai · USLong Island University · USLurie Children's Hospital · USRiley Hospital for Children · USUniversity of Miami · USUniversity of Mississippi · US

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID P OLSON · 2013 to 2026
$24.3M
Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

The aim of this study was to describe rates of telemedicine use 18 months after the start of the coronavirus disease 2019 pandemic and to assess the institutional barriers to its implementation for type 1 diabetes care across centers of the T1D Exchange Quality Improvement Collaborative. Observational electronic health record data capturing telemedicine rates from 15 U.S. centers between September 2020 and September 2021 and a survey of 33 centers capturing telemedicine rates and key components of telemedicine were analyzed. A capacity score was developed and summed to a total capacity score and compared with overall telemedicine rates across centers. Telemedicine visits decreased by 17.4% from September 2020 to September 2021. Generally, it was observed that the lower the average telemedicine capacity score, the lower the rate of telemedicine visits. Despite a decline in the utilization of telemedicine 18 months after the start of the pandemic, visit rates were still 20% higher than in the pre-pandemic period. However, there is a need to improve structural components to ensure telemedicine capacity and robust telemedicine utilization.

Identifiers

PMID38230345
PMCPMC10788657
OpenAlexW4386517294

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.