Evidence map›Paper›PMID 39996059›Full record

ArticleFrontiers in endocrinology2025

A successful remote patient monitoring program for diabetes.

Katlyn Sawyer, David Saxon, Richard Zane, Hemali Patel, Michael McDermott, Vatsala Singh, Helen M Lawler

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

7 authors.

Katlyn SawyerDepartment of Medicine, University of Colorado School of Medicine, Aurora, CO, United States.
David SaxonDivision of Endocrinology, Metabolism, and Diabetes, University of Colorado School of Medicine, Aurora, CO, United States.
Richard ZaneDepartment of Emergency Medicine, University of Colorado Hospital School of Medicine, Aurora, CO, United States.
Hemali PatelDepartment of Medicine, University of Colorado School of Medicine, Aurora, CO, United States.
Michael McDermottDivision of Endocrinology, Metabolism, and Diabetes, University of Colorado School of Medicine, Aurora, CO, United States.
Vatsala SinghEndocrinology Section, Rocky Mountain Veterans Affairs Medical Center, Aurora, CO, United States.
Helen M LawlerDivision of Endocrinology, Metabolism, and Diabetes, University of Colorado School of Medicine, Aurora, CO, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of diabetes continues to rise in the United States along with a shortage of endocrinologists. One proposed solution to this challenge is to deliver more specialty health care services through remote patient monitoring (RPM). Here, we describe our initial experience with an RPM program for diabetes care at the University of Colorado. We enrolled 211 patients with primarily uncontrolled type 2 diabetes into the Diabetes Home and Remote Care Program (DHRCP). Remote care replaced traditional brick-and-mortar care while patients were enrolled. A certified diabetes care and education specialists (CDCES) contacted patients every 1-2 weeks to provide lifestyle coaching and assess medication compliance. With oversight from an endocrinologist, frequent medication adjustments were made by the CDCES. Analysis performed on 106 (50.2%) patients who met graduation criteria and had a hemoglobin A1c (HbA1c) completed upon program graduation showed an average decrease in HbA1c from 10.4% to 7.0% (p<0.001). Overall, our results demonstrate that RPM is an effective care model for improving glycemic control in patients with diabetes.

Indexed as

Blood Glucose Self-MonitoringDiabetes Mellitus, Type 2AdultAgedBlood GlucoseFemaleGlycated HemoglobinHumansMaleMiddle AgedRemote Patient MonitoringTelemedicineBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humancloud based managementdiabetes managementdiabetes mellitushealth care programremote patient monitoring (RPM)technology in diabetes

Identifiers

PMID39996059
PMCPMC11847674

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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.