Evidence map›Paper›PMID 34980593›Full record

ArticleBMJ open diabetes research & care2022

Development and validation of the self-management Barriers and Supports Evaluation for working-aged adults with type 1 diabetes mellitus.

Elizabeth M Planalp, Harald Kliems, Betty A Chewning, Mari Palta, Tamara J LeCaire, Laura A Young, Elizabeth D Cox

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Elizabeth M PlanalpWaisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Harald KliemsDepartment of Pediatrics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA.
Betty A ChewningDepartment of Social and Administrative Sciences, School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Mari PaltaPopulation Health Sciences, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA.
Tamara J LeCaireWisconsin Alzheimer's Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA.
Laura A YoungDepartment of Medicine, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.
Elizabeth D CoxDepartment of Pediatrics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA ecox@wisc.edu.ORCID 0000-0002-0984-2891
University of Wisconsin–Madison · USUniversity of North Carolina at Chapel Hill · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
TRAINING PROGRAM IN EMOTION RESEARCHT32MH018931 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI Richard J Davidson · 1989 to 2026
$11.6M
NCATS NIH HHS UL1 TR002373NIMH NIH HHS T32 MH018931
6 · The paper itself

Abstract

introductionTo optimize type 1 diabetes mellitus self-management, experts recommend a person-centered approach, in which care is tailored to meet people's needs and preferences. Existing tools for tailoring type 1 diabetes mellitus education and support are limited by narrow focus, lack of strong association with meaningful outcomes like A1c, or having been developed before widespread use of modern diabetes technology. To facilitate comprehensive, effective tailoring for today's working-aged adults with type 1 diabetes mellitus, we developed and validated the Barriers and Supports Evaluation (BASES). RESEARCH DESIGN AND

methodsParticipants 25-64 years of age with type 1 diabetes mellitus were recruited from clinics and a population-based registry. Content analysis of semistructured interviews (n=33) yielded a pool of 136 items, further refined to 70 candidate items on a 5-point Likert scale through cognitive interviewing and piloting. To develop and validate the tool, factor analyses were applied to responses to candidate items (n=392). Additional survey data included demographics and the Diabetes-Specific Quality of Life (QOL) Scale-Revised. To evaluate concurrent validity, hemoglobin A1c (HbA1c) values and QOL scores were regressed on domain scores.

resultsFactor analyses yielded 5 domains encompassing 30 items: Learning Opportunities, Costs and Insurance, Family and Friends, Coping and Behavioral Skills, and Diabetes Provider Interactions. Models exhibited good to adequate fit (Comparative Fit Index >0.88 and Root Mean Squared Error of Approximation <0.06). All domains demonstrated significant associations with HbA1c and QOL in the expected direction, except Family and Friends. Coping and Behavioral Skills had the strongest associations with both HbA1c and QOL.

conclusionsThe BASES is a valid, comprehensive, person-centered tool that can tailor diabetes support and education to individuals' needs in a modern practice environment, improving effectiveness and uptake of services. Clinicians could use the tool to uncover patient-specific barriers that limit success in achieving HbA1c goals and optimal QOL.

Indexed as

Diabetes Mellitus, Type 1Self-ManagementAdultGlycated HemoglobinHumansMiddle AgedQuality of LifeSurveys and QuestionnairesGlycated Hemoglobindiabetes mellituspatient-centered careself-managementsurveys and questionnairestype 1

Identifiers

PMID34980593
PMCPMC8724717
OpenAlexW4206780184

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.