Evidence map›Paper›PMID 29991281›Full record

ArticleJournal of diabetes science and technology2018

Using Cluster Analysis to Understand Clinician Readiness to Promote Continuous Glucose Monitoring Adoption.

Molly L Tanenbaum, Rebecca N Adams, Monica S Lanning, Sarah J Hanes, Bianca I Agustin, Diana Naranjo, Korey K Hood

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 52 citations in OpenAlex.

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  9. Social Determinants of Health Screening in Type 1 Diabetes Management.Endocrinology and metabolism clinics of North America · 2024
    Review
  10. Article
  11. Article
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  14. Increasing Use of Diabetes Devices: What Do Health Care Professionals Need?Clinical diabetes : a publication of the American Diabetes Association · 2023
    Article
  15. Review
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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

7 authors at 1 institution in 1 country.

Molly L Tanenbaum1 Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0003-4222-4224
Rebecca N Adams1 Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA.
Monica S Lanning1 Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA.
Sarah J Hanes1 Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA.
Bianca I Agustin1 Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA.
Diana Naranjo1 Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA.
Korey K Hood1 Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA.
Stanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany people with type 1 diabetes (T1D) report barriers to using continuous glucose monitoring (CGM). Diabetes care providers may have their own barriers to promoting CGM uptake. The goal of this study was to develop clinician "personas" with regard to readiness to promote CGM uptake.

methodsDiabetes care providers who treat people with T1D (N = 209) completed a survey on perceived patient barriers to device uptake, technology attitudes, and characteristics and barriers specific to their clinical practice. K-means cluster analyses grouped the sample by CGM barriers and attitudes. ANOVAs and chi-square tests assessed group differences on provider and patient characteristics. The authors assigned descriptive names for each persona.

resultsAnalyses yielded three clinician personas regarding readiness to promote CGM uptake. Ready clinicians (20% of sample; 24% physicians, 38% certified diabetes educators/CDEs) had positive technology attitudes, had clinic time to work with patients using CGM, and found it easy to keep up with technology advances. In comparison, Cautious clinicians (41% of sample; 17% physicians, 53% CDEs) perceived that their patients had many barriers to adopting CGM and had less time than the Ready group to work with patients using CGM data. Not Yet Ready clinicians (40% of sample; 9% physicians; 79% CDEs) had negative technology attitudes and the least clinic time to work with CGM data. They found it difficult to keep up with technology advances.

conclusionSome diabetes clinicians may benefit from tailored interventions and additional time and resources to empower them to help facilitate increased uptake of CGM technology.

Indexed as

Attitude of Health PersonnelDiabetes Mellitus, Type 1Directive CounselingEquipment and SuppliesPersonalityAdultBlood GlucoseBlood Glucose Self-MonitoringCaregiversCluster AnalysisComprehensionFemaleHealth Knowledge, Attitudes, PracticeHumansInsulin Infusion SystemsMaleBlood Glucosecontinuous glucose monitoringdevice readinessdiabetes providerstechnology attitudestype 1 diabetes

Identifiers

PMID29991281
PMCPMC6232742
OpenAlexW2865939819

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.