Evidence map›Paper›PMID 31113238›Full record

ArticleJournal of diabetes science and technology2020

Development of a Novel Tool to Support Engagement With Continuous Glucose Monitoring Systems and Optimize Outcomes.

Katharine D Barnard-Kelly, William H Polonsky

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2020. 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
0.5field-weighted citation impact, top 32% 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.

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, 8 citations in OpenAlex.

  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

2 authors at 1 institution in 1 country.

Katharine D Barnard-KellyFaculty of Health and Social Sciences, Bournemouth University, Bournemouth, UK.ORCID 0000-0002-3888-3123
William H PolonskyBehavioral Diabetes Institute, San Diego, CA, USA.
Bournemouth University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing numbers of people with diabetes, especially those with type 1 diabetes (T1D), are using continuous glucose monitoring (CGM) systems to support their diabetes self-management, yet even so only approximately 30% of individuals with T1D meet the American Diabetes Association HbA1c target of 58 mmol/mol (7.5%) for children and 53 mmol/mol (7.0%) for adults. We aimed to produce a useful tool for people with diabetes to improve personalized understanding of CGM.

methodA brief leaflet titled "Guidelines to Improve Glucose Control Using CGM" was developed for people with diabetes. Semistructured interviews were held with 12 adults with T1D, focusing on their views regarding the relevance, readability, and usability of the newly revised leaflet. Participants were specifically asked to share what they would find most useful in terms of information and advice provided as well as how to make use of that in the context of their own diabetes self-management. Data were analyzed thematically and used to inform revisions of the leaflet content.

resultsData highlighted information and advice needs as well as personalization in terms of own diabetes management.

conclusionsCGM systems are associated with improved medical and psychosocial outcomes, especially when used effectively to meet the individual needs of the user. Ensuring greater understanding of the individual's expectations when first starting CGM, matching experience and skills to meet those expectations, and tailoring use to the individual needs of each person with diabetes (PWD) are all required to achieve widespread and consistent benefit.

Indexed as

Blood Glucose Self-MonitoringPatient Education as TopicBlood GlucoseDiabetes Mellitus, Type 1Glycated HemoglobinHumansHypoglycemiaHypoglycemic AgentsInsulinBlood GlucoseGlycated HemoglobinHypoglycemic AgentsInsulincontinuous glucose monitoringengagementpsychosocialtype 1 diabetes

Identifiers

PMID31113238
PMCPMC7189169
OpenAlexW2945441208

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.