Evidence map›Paper›PMID 24876591›Full record

ReviewJournal of diabetes science and technology2014

Telehealth Remote Monitoring Systematic Review: Structured Self-monitoring of Blood Glucose and Impact on A1C.

Deborah A Greenwood, Heather M Young, Charlene C Quinn

Registry-linked trialOpen access · bronzeAbstract readReview
In one paragraph

Review in Journal of diabetes science and technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06830135 (A Multifaceted Telehealth Approach to Enhancing Glycemic Control and Reducing Readmissions in a Diverse Diabetic Population), which is not on this map. Cited by 44 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 10 pooled it
4.9field-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.

NCT06830135 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

A Multifaceted Telehealth Approach to Enhancing Glycemic Control and Reducing Readmissions in a Diverse Diabetic Population: A Randomized Control Trial

TypeinterventionalSponsorWhite Plains HospitalRan2025 to 2027Enrolled208ConditionsDiabetes MellitusArmsContinues glucose monitoring with remote glucose monitoring for 90 days
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 10 syntheses or guidelines pooled it, 101 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Deborah A GreenwoodBetty Irene Moore School of Nursing at University of California Davis, Sacramento, CA, USA dgreenwood@ucdavis.edu.
Heather M YoungBetty Irene Moore School of Nursing at University of California Davis, Sacramento, CA, USA.
Charlene C QuinnSchool of Medicine, University of Maryland, Baltimore, MD, USA.
UC Davis Health System · USUniversity of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim was to summarize research on telehealth remote patient monitoring interventions that incorporate key elements of structured self-monitoring of blood glucose (SMBG) identified as essential for improving A1C. A systematic review was conducted using the Medline, Cumulative Index to Nursing and Allied Health Literature, EMBASE, and OVID Medline databases with search terms "Telemedicine" AND "Monitoring, Physiologic" AND "Diabetes Mellitus, Type 2." Study selection criteria included original randomized clinical trials evaluating the impact of telehealth remote patient monitoring on A1C among adults with type 2 diabetes and incorporated 1 or more essential elements of SMBG identified by the International Diabetes Federation (patient education, provider education, structured SMBG profile, SMBG goals, feedback, data used to modify treatment, interactive communication or shared decision making). Fifteen studies were included, with interventions ranging from 3 to 12 months (mean 8 months) with sample sizes from 30 to 1665. Key SMBG elements were grouped into 3 categories: education, SMBG protocols, and feedback. Research incorporating 5 of the 7 elements consistently achieved significant A1C improvements between study groups. Interventions using more SMBG elements are associated with an improvement in A1C. Studies with the largest A1C decrease incorporated 6 of the 7 elements and computer decision support. Two studies with 5 of the 7 elements and active medication management achieved significant A1C decreases. Telehealth remote patient monitoring interventions in type 2 diabetes have not included all structured monitoring elements recommended by the IDF. Incorporating more elements of structured SMBG is associated with improved A1C.

Indexed as

A1Cdiabetesdiabetes self-management educationremote patient monitoringself-monitoring of blood glucosetelehealth

Identifiers

PMID24876591
PMCPMC4455426
OpenAlexW2132057588

What OpenQuestion holds

Textmetadata
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.