Evidence map›Paper›PMID 29555621›Full record

Trial reportJournal of medical Internet research2018

Transition of a Text-Based Insulin Titration Program From a Randomized Controlled Trial Into Real-World Settings: Implementation Study.

Natalie Koch Levy, Natasha A Orzeck-Byrnes, Sneha R Aidasani, Dana N Moloney, Lisa H Nguyen, Agnes Park, Lu Hu, Aisha T Langford, Binhuan Wang, Mary Ann Sevick and 1 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
6.8field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. An SMS-Guided Basal Insulin Titration in People with Type 2 Diabetes New on Insulin.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Disparities in Text Messaging Interventions to Improve Diabetes Management in the United States.Diabetes spectrum : a publication of the American Diabetes Association · 2021
    Article
  10. Review
  11. Article
  12. 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

11 authors at 1 institution in 1 country.

Natalie Koch LevyDivision of General Internal Medicine and Clinical Innovation, Department of Medicine, New York University School of Medicine, New York, NY, United States.ORCID 0000-0003-2956-5876
Natasha A Orzeck-ByrnesDivision of General Internal Medicine and Clinical Innovation, Department of Medicine, New York University School of Medicine, New York, NY, United States.ORCID 0000-0001-6596-0393
Sneha R AidasaniDivision of General Internal Medicine and Clinical Innovation, Department of Medicine, New York University School of Medicine, New York, NY, United States.ORCID 0000-0001-5717-7569
Dana N MoloneyDivision of General Internal Medicine and Clinical Innovation, Department of Medicine, New York University School of Medicine, New York, NY, United States.ORCID 0000-0003-1158-7882
Lisa H NguyenDivision of General Internal Medicine and Clinical Innovation, Department of Medicine, New York University School of Medicine, New York, NY, United States.ORCID 0000-0003-0726-4714
Agnes ParkDivision of General Internal Medicine and Clinical Innovation, Department of Medicine, New York University School of Medicine, New York, NY, United States.ORCID 0000-0003-2870-3624
Lu HuDepartment of Population Health, New York University School of Medicine, New York, NY, United States.ORCID 0000-0002-2386-064X
Aisha T LangfordDepartment of Population Health, New York University School of Medicine, New York, NY, United States.ORCID 0000-0003-1758-691X
Binhuan WangDepartment of Population Health, New York University School of Medicine, New York, NY, United States.ORCID 0000-0002-3435-3424
Mary Ann SevickDepartment of Population Health, New York University School of Medicine, New York, NY, United States.ORCID 0000-0002-5482-7535
Erin S RogersDepartment of Population Health, New York University School of Medicine, New York, NY, United States.ORCID 0000-0002-3207-7956
New York University · US

Funding

A Mobile Health Intervention to Reduce Diabetes Disparities in Chinese AmericansK99MD012811 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HU, LU · 2018 to 2019
$207k
6 · The paper itself

Abstract

backgroundThe Mobile Insulin Titration Intervention (MITI) program helps patients with type 2 diabetes find their correct basal insulin dose without in-person care. Requiring only basic cell phone technology (text messages and phone calls), MITI is highly accessible to patients receiving care in safety-net settings. MITI was shown in a randomized controlled trial (RCT) to be efficacious at a New York City (NYC) safety-net clinic where patients often have challenges coming for in-person care. In 2016, MITI was implemented as usual care at Bellevue Hospital (the site of the original RCT) and at Gouverneur Health (a second NYC safety-net clinic) under 2 different staffing models.

objectiveThis implementation study examined MITI's transition into real-world settings. To understand MITI's flexibility, generalizability, and acceptability among patients and providers, we evaluated whether MITI continued to produce positive outcomes in expanded underserved populations, outside of an RCT setting.

methodsPatients enrolled in MITI received weekday text messages asking for their fasting blood glucose (FBG) values and a weekly titration call. The goal was for patients to reach their optimal insulin dose (OID), defined either as the dose of once-daily basal insulin required to achieve either an FBG of 80-130 mg/dL (4.4-7.2 mmol/L) or as the reaching of the maximum dose of 50 units. After 12 weeks, if OID was not reached, the patients were asked to return to the clinic for in-person care and titration. MITI program outcomes, clinical outcomes, process outcomes, and patient satisfaction were assessed.

resultsMITI was successful at both sites, each with a different staffing model. Providers referred 170 patients to the program-129 of whom (75.9%, 129/170) were eligible. Of these, 113 (87.6%, 113/129) enrolled. Moreover, 84.1% (95/113) of patients reached their OID, and they did so in an average of 24 days. Clinical outcomes show that mean FBG levels fell from 209 mg/dL (11.6 mmol/L) to 141 mg/dL (7.8 mmol/L), P<.001. HbA

conclusionsThis implementation study showed MITI to have continued success after transitioning from an RCT program into real-world settings. MITI showed itself to be flexible and generalizable as it easily fits into a second site staffed by general medical clinic-registered nurses and remained acceptable to patients and staff who had high levels of engagement with the program.

Indexed as

AdolescentAdultAgedDiabetes Mellitus, Type 2FemaleHealthcare DisparitiesHealth Plan ImplementationHumansHypoglycemic AgentsInsulinMaleMiddle AgedTelemedicineText MessagingYoung AdultHypoglycemic AgentsInsulindiabetes mellitus, type 2/drug therapyhealthcare disparitiesinsulin/long-acting/administration & dosagemedically underserved areatelemedicine

Identifiers

PMID29555621
PMCPMC5881039
OpenAlexW2791123890

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.