Evidence map›Paper›PMID 33627990›Full record

ArticleDiabetes spectrum : a publication of the American Diabetes Association2021

Improving Referrals to Diabetes Self-Management Education in Medically Underserved Adults.

Tiffany L James

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes spectrum : a publication of the American Diabetes Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

1 author at 1 institution in 1 country.

Tiffany L JamesUniversity of Alabama at Birmingham, Birmingham, AL, and Valley Healthcare System, Columbus, GA.ORCID 0000-0003-4110-1724
University of Alabama at Birmingham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveElectronic health records (EHRs) and clinical decision-support algorithms improve diabetes care. This quality improvement (QI) project aimed to determine whether an electronic diabetes education referral protocol using the Diabetes Self-Management Education and Support for Adults With Type 2 Diabetes: Algorithm of Care (DSMES Algorithm) and protocol training would increase the proportion of adult patients with type 2 diabetes at a federally qualified health center electronically referred for diabetes self-management education and support (DSMES). DESIGN AND

methodsThe EHR was modified to include the DSMES Algorithm and questions regarding prior participation in diabetes education. Protocol trainings were conducted. Data were obtained via retrospective chart review. A one-sample

resultsCompletion of the DSMES Algorithm was positively associated with e-referrals to diabetes education (

conclusionE-referral protocols using the DSMES Algorithm and protocol training may aid in the identification and documentation of self-care needs of medically underserved patients with type 2 diabetes and improve e-referrals to DSMES. Of clinical importance, these findings translate into active patient engagement, team-based care, and information-sharing. Additional work is needed to determine whether the e-referral rate is sustained or increases over time. Further investigations should also be explored to evaluate the impact of e-referral protocols and algorithms on participation in DSMES.

Identifiers

PMID33627990
PMCPMC7887525
OpenAlexW3088206436

What OpenQuestion holds

Textmetadata
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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.