Evidence map›Paper›PMID 37027118›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2023

Effect of an Automated Advice Algorithm (CloudConnect) on Adolescent-Parent Diabetes-Specific Communication and Glycemic Management: A Randomized Trial.

Mark D DeBoer, Rupa Valdez, John P Corbett, Katie Krauthause, Christian A Wakeman, Alexander S Luke, Mary C Oliveri, Daniel R Cherñavvsky, Stephen D Patek

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In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Review
  4. 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

9 authors.

Mark D DeBoerDivision of Pediatric Endocrinology and Center for Diabetes Technology, University of Virginia, School of Medicine, PO Box 800386, Charlottesville, VA, 22908, USA. deboer@virginia.edu.ORCID http://orcid.org/0000-0003-1462-591X
Rupa ValdezDepartment of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA.
John P CorbettDivision of Pediatric Endocrinology and Center for Diabetes Technology, University of Virginia, School of Medicine, PO Box 800386, Charlottesville, VA, 22908, USA.
Katie KrauthauseDivision of Pediatric Endocrinology and Center for Diabetes Technology, University of Virginia, School of Medicine, PO Box 800386, Charlottesville, VA, 22908, USA.
Christian A WakemanDivision of Pediatric Endocrinology and Center for Diabetes Technology, University of Virginia, School of Medicine, PO Box 800386, Charlottesville, VA, 22908, USA.
Alexander S LukeDivision of Pediatric Endocrinology and Center for Diabetes Technology, University of Virginia, School of Medicine, PO Box 800386, Charlottesville, VA, 22908, USA.
Mary C OliveriDivision of Pediatric Endocrinology and Center for Diabetes Technology, University of Virginia, School of Medicine, PO Box 800386, Charlottesville, VA, 22908, USA.
Daniel R CherñavvskyDivision of Pediatric Endocrinology and Center for Diabetes Technology, University of Virginia, School of Medicine, PO Box 800386, Charlottesville, VA, 22908, USA.
Stephen D PatekDivision of Pediatric Endocrinology and Center for Diabetes Technology, University of Virginia, School of Medicine, PO Box 800386, Charlottesville, VA, 22908, USA.

Funding

CloudConnect: Consumer Health IT for Enhanced Treatment of Chronic IllnessR01LM012090 · NLM · UNIVERSITY OF VIRGINIA · PI DEBOER, MARK DANIEL, VALDEZ, RUPA SHETH · 2016 to 2019
$1.4M
Dexcom None--supplies onlyNLM NIH HHS R01 LM012090U.S. National Library of Medicine R01-LM012090
6 · The paper itself

Abstract

introductionBecause adolescence is a time of difficult management of Type 1 diabetes (T1D) in part from adolescent-parent shared responsibility of T1D management, our objective was to assess the effects of a decision support system (DSS) CloudConnect on T1D-related communication between adolescents and their parents and on glycemic management.

methodsWe followed 86 participants including 43 adolescents with T1D (not on automated insulin delivery systems, AID) and their parents/care-giver for a 12-week intervention of UsualCare + CGM or CloudConnect, which included a Weekly Report of automated T1D advice, including insulin dose adjustments, based on data from continuous glucose monitors (CGM), Fitbit and insulin use. Primary outcome was T1D-specific communication and secondary outcomes were hemoglobin A1c, time-in-target range (TIR) 70-180 mg/dl, and additional psychosocial scales.

resultsAdolescents and parents reported a similar amount of T1D-related communication in both the UsualCare + CGM or CloudConnect groups and had similar levels of final HbA1c. Overall blood glucose time in range 70-180 mg/dl and time below 70 mg/dl were not different between groups. Parents but not children in the CloudConnect group reported less T1D-related conflict; however, compared to the UsualCare + CGM group, adolescents and parents in the CloudConnect reported a more negative tone of T1D-related communication. Adolescent-parent pairs in the CloudConnect group reported more frequent changes in insulin dose. There were no differences in T1D quality of life between groups.

conclusionsWhile feasible, the CloudConnect DSS system did not increase T1D communication or provide improvements in glycemic management. Further efforts are needed to improve T1D management in adolescents with T1D not on AID systems.

Indexed as

AdolescentsFamily communicationGlycemic controlType 1 diabetes

Identifiers

PMID37027118
PMCPMC10080500

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.