Trial reportJournal of medical Internet research2015
The Mobile Insulin Titration Intervention (MITI) for Insulin Adjustment in an Urban, Low-Income Population: Randomized Controlled Trial.
Trial report in Journal of medical Internet research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01879579 (The Mobile Insulin Titration Intervention), which is not on this map. Cited by 33 papers, 8 of them syntheses that pooled it.
What it found
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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.
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.
The Mobile Insulin Titration Intervention (MITI) Study: Innovative Chronic Disease Management of Diabetes
Who cites it
33 citing papers in PubMed, 8 syntheses or guidelines pooled it, 54 citations in OpenAlex.
- Reporting Gaps in mHealth Intervention Studies for Adults With Diabetes: Systematic Review.JMIR mHealth and uHealth · 2026Pooled it
- Effects of Multilevel and Multidomain Interventions on Glycemic Control in U.S. Hispanic Populations.International journal of environmental research and public health · 2025Pooled it
- Audio-Based Care for Managing Diabetes in Adults: A Systematic Review.Medical care · 2025Pooled it
- Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance.Journal of diabetes science and technology · 2024Pooled it
- Quality improvement strategies for diabetes care: Effects on outcomes for adults living with diabetes.The Cochrane database of systematic reviews · 2023Pooled it
- Adherence to Electronic Health Tools Among Vulnerable Groups: Systematic Literature Review and Meta-Analysis.Journal of medical Internet research · 2020Pooled it
- The Comparative Effectiveness of Mobile Phone Interventions in Improving Health Outcomes: Meta-Analytic Review.JMIR mHealth and uHealth · 2019Pooled it
- Fundamentals for Future Mobile-Health (mHealth): A Systematic Review of Mobile Phone and Web-Based Text Messaging in Mental Health.Journal of medical Internet research · 2016Pooled it
- An information and communication technology-based centralized clinical trial to determine the efficacy and safety of insulin dose adjustment education based on a smartphone personal health record application: a randomized controlled trial.BMC medical informatics and decision making · 2017Trial
- Real-World Data Collection Regarding Titration Algorithms for Insulin Glargine in Patients With Type 2 Diabetes Mellitus.Journal of diabetes science and technology · 2016Trial
- A Text Messaging-Based Program to Transition From Basal Insulin to Glucagon-Like Peptide-1 Receptor Agonists in Safety-Net Diabetes Care: Pilot Quality Improvement Intervention Study.JMIR formative research · 2026Article
- A successful remote patient monitoring program for diabetes.Frontiers in endocrinology · 2025Article
- 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 · 2024Article
- Article
- Characterizing Technology Use and Preferences for Health Communication in South Asian Immigrants With Prediabetes or Diabetes: Cross-Sectional Descriptive Study.JMIR formative research · 2024Article
- Efficacy of Insulin Titration Driven by SMS in Improving Glycemic Control in People with Type 2 Diabetes.Journal of clinical medicine · 2023Article
- Disparities in telehealth access, not willingness to use services, likely explain rural telehealth disparities.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2023Article
- Effect of Digital-Tool-Supported Basal Insulin Titration Algorithm in Reaching Glycemic Control in Patients with Type 2 Diabetes in Mexico.Journal of diabetes science and technology · 2022Article
- Social Determinants of Health and Diabetes-Related Distress in Patients With Insulin-Dependent Type 2 Diabetes: Cross-sectional, Mixed Methods Approach.JMIR formative research · 2022Article
- Outcomes of a feasibility trial using an innovative mobile health programme to assist in insulin dose adjustment.BMJ health & care informatics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundDiabetes patients are usually started on a low dose of insulin and their dose is adjusted or "titrated" according to their blood glucose levels. Insulin titration administered through face-to-face visits with a clinician can be time consuming and logistically burdensome for patients, especially those of low socioeconomic status (SES). Given the wide use of mobile phones among this population, there is the potential to use short message service (SMS) text messaging and phone calls to perform insulin titration remotely.
objectiveThe goals of this pilot study were to (1) evaluate if our Mobile Insulin Titration Intervention (MITI) intervention using text messaging and phone calls was effective in helping patients reach their optimal insulin glargine dose within 12 weeks, (2) assess the feasibility of the intervention within our clinic setting and patient population, (3) collect data on the cost savings associated with the intervention, and (4) measure patient satisfaction with the intervention.
methodsThis was a pilot study evaluating an intervention for patients requiring insulin glargine titration in the outpatient medical clinic of Bellevue Hospital Center in New York City. Patients in the intervention arm received weekday SMS text messages from a health management platform requesting their fasting blood glucose values. The clinic's diabetes nurse educator monitored the texted responses on the platform website each weekday for alarm values. Once a week, the nurse reviewed the glucose values, consulted the MITI titration algorithm, and called patients to adjust their insulin dose. Patients in the usual care arm continued to receive their standard clinic care for insulin titration. The primary outcome was whether a patient reached his/her optimal insulin glargine dose within 12 weeks.
resultsA total of 61 patients consented and were randomized into the study. A significantly greater proportion of patients in the intervention arm reached their optimal insulin glargine dose than patients in the usual care arm (88%, 29/33 vs 37%, 10/27; P<.001). Patients responded to 84.3% (420/498) of the SMS text messages requesting their blood glucose values. The nurse reached patients within 2 attempts or by voicemail 91% of the time (90/99 assigned calls). When patients traveled to the clinic, they spent a median of 45 minutes (IQR 30-60) on travel and 39 minutes (IQR 30-64) waiting prior to appointments. A total of 61% (37/61) of patients had appointment copays. After participating in the study, patients in the intervention arm reported higher treatment satisfaction than those in the usual care arm.
conclusionsMITI is an effective way to help low-SES patients reach their optimal insulin glargine dose using basic SMS text messaging and phone calls. The intervention was feasible and patients were highly satisfied with their treatment. The intervention was cost saving in terms of time for patients, who were able to have their insulin titrated without multiple clinic appointments. Similar interventions should be explored to improve care for low-SES patients managing chronic disease.
trial registrationClinicaltrials.gov NCT01879579; https://clinicaltrials.gov/ct2/show/NCT01879579 (Archived by WebCite at http://www.webcitation.org/6YZik33L3).
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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.