Evidence map›Paper›PMID 33435720›Full record

ArticleJournal of diabetes science and technology2022

Transforming AADE7 for Use in an Evaluation Framework for Health Information Technology in Diabetes Mellitus.

Min Soon Kim, Uzma Khan, Suzanne A Boren, Ploypun Narindrarangkura, Qing Ye, Eduardo J Simoes

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Telehealth Technologies in Diabetes Self-management and Education.Journal of diabetes science and technology · 2024
    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.

Min Soon KimDepartment of Health Management and Informatics, University of Missouri Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA.
Uzma KhanDepartment of Medicine, Cosmopolitan International Diabetes and Endocrinology Center, University of Missouri, Columbia, USA.
Suzanne A BorenDepartment of Health Management and Informatics, University of Missouri Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA.
Ploypun NarindrarangkuraDepartment of Health Management and Informatics, University of Missouri Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA.ORCID 0000-0001-5737-2559
Qing YeDepartment of Health Management and Informatics, University of Missouri Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA.
Eduardo J SimoesDepartment of Health Management and Informatics, University of Missouri Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA.

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
NIDDK NIH HHS P30 DK092950
6 · The paper itself

Abstract

There is no validated framework to evaluate health information technology (HIT) for diabetes self-management education and support (DSMES). AADE7 Self-Care Behaviors is a patient-centered DSMES designed by the American Association of Diabetes Educators (AADE). We developed a codebook based on the AADE7 Self-Care Behaviors principles as an evaluation framework. In this commentary, we demonstrate the real-life applications of this codebook through three diabetes research studies. The first study analyzed features of mobile diabetes applications. The second study evaluated provider documentation patterns in electronic health records (EHRs) to deliver ongoing patient-centered DSMES. The third study analyzed feedback messages from diabetes apps. We found that this codebook, based on AADE7, can be instrumental as a framework for research, as well as real-life use in HIT for DSMES principles.

Indexed as

Diabetes MellitusMedical InformaticsMobile ApplicationsSelf-ManagementHealth BehaviorHumansdiabetesevaluationframeworkhealth information technologyself-management

Identifiers

PMID33435720
PMCPMC9294563

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.