Evidence map›Paper›PMID 35293868›Full record

ArticleJMIR diabetes2022

Continuous Glucose Monitoring Data Sharing in Older Adults With Type 1 Diabetes: Pilot Intervention Study.

Nancy A Allen, Michelle L Litchman, James Chamberlain, Ernest G Grigorian, Eli Iacob, Cynthia A Berg

Abstract read
In one paragraph

Article in JMIR diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Clin-STAR Corner: Practice Changing Advances in Diabetes Care.Journal of the American Geriatrics Society · 2025
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Expanding the Role of Continuous Glucose Monitoring in Modern Diabetes Care Beyond Type 1 Disease.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2023
    Review
  13. Article
  14. Article
  15. 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

6 authors.

Nancy A Allen *College of Nursing, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0001-7358-2265
Michelle L Litchman *College of Nursing, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-8928-5748
James Chamberlain *St Mark's Diabetes Center, St Mark's Hospital, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-8224-242X
Ernest G Grigorian *College of Nursing, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-5328-2123
Eli Iacob *College of Nursing, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0003-1617-0314
Cynthia A Berg *College of Social and Behavioral Science, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-5693-4561

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
NCATS NIH HHS UL1 TR002538
6 · The paper itself

Abstract

backgroundFamily members or friends (care partners [CPs]) of older adults with type 1 diabetes (T1DM) regularly become part of the diabetes care team, but they often lack knowledge about how to become involved to prevent hypo- and hyperglycemia. Continuous glucose monitoring (CGM) allows a person with diabetes to see their glucose levels continuously and to receive predictive alerts. A smartphone data-sharing app called the Follow app allows the person with diabetes to share continuous glucose numbers with others and to receive predictive alerts of impending hypo- and hyperglycemia. However, there are barriers to sharing this continuous glucose level data with CPs.

objectiveThis study aimed to address the barriers to sharing CGM data. Our objective was to examine the feasibility of using CGM with the Follow app and a data-sharing intervention called SHARE plus in older adults with T1DM and their CPs. SHARE plus includes dyadic communication strategies, problem-solving strategies, and action planning to facilitate CGM data sharing.

methodsOlder adults with T1DM (n=20) and their CPs (n=20) received the SHARE plus intervention at baseline. People with diabetes wore the CGM for 12 weeks while sharing their glucose data using the Follow app with CPs. Feasibility data were analyzed using descriptive statistics.

resultsThe SHARE plus intervention was feasible and was associated with high self-reported satisfaction for people with diabetes and their CPs as well as high adherence to CGM (mean 96%, SD 6.8%). Broad improvements were shown in the diabetes-related quality of life through the use of CGM in people with diabetes and their CPs. Although the majority of people with diabetes (11/20, 55%) were willing to share hyperglycemia data, several chose not to. The majority of people with diabetes (14/20, 70%) were willing to talk about glucose numbers with a CP.

conclusionsOlder adults with T1DM and their CPs identified having someone else aware of glucose levels and working together with a partner on diabetes self-management as positive aspects of the use of the SHARE plus intervention. Clinicians can use these results to provide data sharing coaching in older adults and their CPs.

Indexed as

caregiverCGMdata sharingmobile phoneolder adultstype 1 diabetes

Identifiers

PMID35293868
PMCPMC8968547

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Registered trials

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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.