Evidence map›Paper›PMID 36544715›Full record

ArticleNEJM catalyst innovations in care delivery2022

A New Technology-Enabled Care Model for Pediatric Type 1 Diabetes.

David Scheinker, Priya Prahalad, Ramesh Johari, David M Maahs, Rick Majzun

Open access · greenAbstract read
In one paragraph

Article in NEJM catalyst innovations in care delivery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Determinants, implementation strategies, and mechanisms of the 4T Program.Journal of clinical & translational endocrinology · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Role and Perspective of Certified Diabetes Care and Education Specialists in the Development of the 4T Program.Diabetes spectrum : a publication of the American Diabetes Association · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
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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

5 authors at 2 institutions in 1 country.

David ScheinkerAssociate Professor, Pediatrics, Stanford University, Stanford, California, USA.
Priya PrahaladAssociate Professor, Pediatrics, Stanford University, Stanford, California, USA.
Ramesh JohariProfessor, Management Science and Engineering, Stanford University, Stanford, California, USA.
David M MaahsProfessor, Pediatrics, Stanford University, Stanford, California, USA.
Rick MajzunChief Operating Officer, Lucile Packard Children's Hospital Stanford, Palo Alto, California, USA.
Stanford University · USLucile Packard Children's Hospital · US

Funding

Teamwork, Targets, Technology, and Tight Control in Newly Diagnosed Pediatric T1D: 4T StudyR18DK122422 · NIDDK · STANFORD UNIVERSITY · PI MAAHS, DAVID MATTHEW · 2020 to 2024
$3.2M
NIDDK NIH HHS R18 DK122422
6 · The paper itself

Abstract

In July 2018, pediatric type 1 diabetes (T1D) care at Stanford suffered many of the problems that plague U.S. health care. Patient outcomes lagged behind those of peer European nations, care was delivered primarily on a fixed cadence rather than as needed, continuous glucose monitors (CGMs) were largely unavailable for individuals with public insurance, and providers' primary access to CGM data was through long printouts. Stanford developed a new technology-enabled, telemedicine-based care model for patients with newly diagnosed T1D. They developed and deployed Timely Interventions for Diabetes Excellence (TIDE) to facilitate as-needed patient contact with the partially automated analysis of CGM data and used philanthropic funding to facilitate full access to CGM technology for publicly insured patients, for whom CGM is not readily available in California. A study of the use of CGM for patients with new-onset T1D (pilot Teamwork, Targets, and Technology for Tight Control [4T] study), which incorporated the use of TIDE, was associated with a 0.5%-point reduction in hemoglobin A1c compared with historical controls and an 86% reduction in screen time for providers reviewing patient data. Based on this initial success, Stanford expanded the use of TIDE to a total of 300 patients, including many outside the pilot 4T study, and made TIDE freely available as open-source software. Next steps include expanding the use of TIDE to support the care of approximately 1,000 patients, improving TIDE and the associated workflows to scale their use to more patients, incorporating data from additional sensors, and partnering with other institutions to facilitate their deployment of this care model.

Identifiers

PMID36544715
PMCPMC9767424
OpenAlexW4224307046

What OpenQuestion holds

Textmetadata
LicenceTDM
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.