Evidence map›Paper›PMID 31686221›Full record

ReviewCurrent diabetes reports2019

Has Technology Improved Diabetes Management in Relation to Age, Gender, and Ethnicity?

Leslie Eiland, Thiyagarajan Thangavelu, Andjela Drincic

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Article
  8. The impact of socio-economic deprivation on access to diabetes technology in adults with type 1 diabetes.Diabetic medicine : a journal of the British Diabetic Association · 2022
    Observational
  9. Review
  10. Article
  11. Article
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

3 authors.

Leslie EilandDepartment of Internal medicine, Division of Diabetes, Endocrinology & Metabolism, University of Nebraska Medical Center, 984120 Nebraska Medical Center, Omaha, NE, 68198-4120, USA.
Thiyagarajan ThangaveluDepartment of Internal medicine, Division of Diabetes, Endocrinology & Metabolism, University of Nebraska Medical Center, 984120 Nebraska Medical Center, Omaha, NE, 68198-4120, USA.
Andjela DrincicDepartment of Internal medicine, Division of Diabetes, Endocrinology & Metabolism, University of Nebraska Medical Center, 984120 Nebraska Medical Center, Omaha, NE, 68198-4120, USA. andjela.drincic@unmc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewTo review the current state of diabetes technology adoption and describe impact on outcomes in the context of age, gender, and ethnicity. We will discuss barriers and propose solutions that may help facilitate the adoption. RECENT

findingsWe are witnessing rapid evolution and increase in adoption of diabetes technology in all its forms, including insulin delivery and glucose monitoring devices, mobile medical applications, and telemedicine. This technology has a great potential to improve diabetes-related outcomes, including acute and chronic complications as well as quality of life for people living with diabetes. However, currently available outcome data are showing modest efficacy and evidence for disparities when it comes to age, gender, and ethnicity. Despite multiple barriers, the adoption of technology is steadily increasing. It is clear that disparities exist in terms of access to and use of technology, but they may be at least in part driven by unmet needs of end users and as such are not unsurmountable. While more research is needed to identify the specific causes for the disparities, future development of diabetes technology that is based on adaptation of behavioral theories has a potential to address the gaps. The disparities can be lessened by understanding the needs of end users and with improvement in personalization of technology, allowing the right device to be used by the right patient. Targeted interventions to increase awareness and education and help navigate the processes involved in currently available technology may help diminish the gaps in health equity.

Indexed as

Biomedical TechnologyBlood Glucose Self-MonitoringDiabetes MellitusDisease ManagementAge FactorsBlood GlucoseEthnicityFemaleHumansMalePatient Education as TopicQuality of LifeSex FactorsBlood GlucoseAgeDiabetesEthnicityGenderHealth disparitiesTechnology

Identifiers

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.