Evidence map›Paper›PMID 26645932›Full record

Trial reportDiabetes technology & therapeutics2016

Utilization of a Cloud-Based Diabetes Management Program for Insulin Initiation and Titration Enables Collaborative Decision Making Between Healthcare Providers and Patients.

William C Hsu, Ka Hei Karen Lau, Ruyi Huang, Suzanne Ghiloni, Hung Le, Scott Gilroy, Martin Abrahamson, John Moore

Registry-linked trialOpen access · hybridAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Diabetes technology & therapeutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03426384 (Can Individualized Diet and Lifestyle Modifications Derived From Digital Therapeutics and Health Coaching Improve Symptoms of Systemic Lupus Erythematosus), which is not on this map. Cited by 67 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 14 pooled it
10.3field-weighted citation impact, top 1% 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.

NCT03426384 nacompletednot on this mapstarted 2018, after this paper: background citation

Can Individualized Diet and Lifestyle Modifications Derived From Digital Therapeutics and Health Coaching Improve Symptoms of Systemic Lupus Erythematosus

TypeinterventionalSponsorMymee Inc.Ran2018 to 2019Enrolled50ConditionsSystem, Lupus ErythematosusArmsMymee Program
3 · Its place in the literature

Who cites it

67 citing papers in PubMed, 14 syntheses or guidelines pooled it, 147 citations in OpenAlex.

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7 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

William C Hsu1 Joslin Diabetes Center, Harvard Medical School , Boston, Massachusetts.
Ka Hei Karen Lau1 Joslin Diabetes Center, Harvard Medical School , Boston, Massachusetts.
Ruyi Huang2 Harvard T.H. Chan School of Public Health , Boston, Massachusetts; E-Da Hospital and I-Shou University, School of Medicine, Kaohsiung, Taiwan .
Suzanne Ghiloni1 Joslin Diabetes Center, Harvard Medical School , Boston, Massachusetts.
Hung Le3 University of Massachusetts Medical School , Worcester, Massachusetts.
Scott Gilroy4 MIT Media Lab , Cambridge, Massachusetts.
Martin Abrahamson1 Joslin Diabetes Center, Harvard Medical School , Boston, Massachusetts.
John Moore4 MIT Media Lab , Cambridge, Massachusetts.
Harvard University · USHuman Media · USJoslin Diabetes Center · USUniversity of Massachusetts Chan Medical School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOverseeing proper insulin initiation and titration remains a challenging task in diabetes care. Recent advances in mobile technology have enabled new models of collaborative care between patients and healthcare providers (HCPs). We hypothesized that the adoption of such technology could help individuals starting basal insulin achieve better glycemic control compared with standard clinical practice. MATERIALS AND

methodsThis was a 12 ± 2-week randomized controlled study with 40 individuals with type 2 diabetes who were starting basal insulin due to poor glycemic control. The control group (n = 20) received standard face-to-face care and phone follow-up as needed in a tertiary center, whereas the intervention group (n = 20) received care through the cloud-based diabetes management program where regular communications about glycemic control and insulin doses were conducted via patient self-tracking tools, shared decision-making interfaces, secure text messages, and virtual visits (audio, video, and shared screen control) instead of office visits.

resultsBy intention-to-treat analysis, the intervention group achieved a greater hemoglobin A1c decline compared with the control group (3.2 ± 1.5% vs. 2.0% ± 2.0%; P = 0.048). The Diabetes Treatment Satisfaction Questionnaire showed a significant improvement in the intervention group compared with the control group (an increase of 10.1 ± 11.7 vs. 2.1 ± 6.5 points; P = 0.01). HCPs spent less time with patients in the intervention group compared with those in the control group (65.9 min per subject vs. 81.6 min per subject). However, the intervention group required additional training time to use the mobile device.

conclusionsMobile health technology could be an effective tool in sharing data, enhancing communication, and improving glycemic control while enabling collaborative decision making in diabetes care.

Indexed as

Decision MakingInternetClinical Decision-MakingDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansHypoglycemic AgentsInsulinsIntention to Treat AnalysisMaleMiddle AgedPatient Acceptance of Health CareSurveys and QuestionnairesTelemedicineGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsInsulins

Identifiers

PMID26645932
PMCPMC4753582
OpenAlexW2190511217

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.