Evidence map›Paper›PMID 39576685›Full record

ArticleJMIR diabetes2024

Four New Patient-Reported Outcome Measures Examining Health-Seeking Behavior in Persons With Type 2 Diabetes Mellitus (REDD-CAT): Instrument Development Study.

Suzanne E Mitchell, Michael A Kallen, Jonathan P Troost, Barbara A De La Cruz, Alexa Bragg, Jessica Martin-Howard, Ioana Moldovan, Jennifer A Miner, Brian W Jack, Noelle E Carlozzi

Abstract read
In one paragraph

Article in JMIR diabetes, 2024. 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
–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

1 citing paper in PubMed.

  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

10 authors.

Suzanne E MitchellDepartment of Family Medicine, School of Medicine, Boston University, Boston, MA, United States.ORCID https://orcid.org/0000-0002-5618-7383
Michael A KallenDepartment of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID https://orcid.org/0009-0001-4814-1107
Jonathan P TroostMichigan Institute for Clinical and Health Research, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-1183-8330
Barbara A De La CruzDepartment of Family Medicine and Community Health, Chan Medical School, University of Massachusetts, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-0012-8413
Alexa BraggDepartment of Family Medicine, School of Medicine, Boston University, Boston, MA, United States.ORCID https://orcid.org/0000-0002-9942-5871
Jessica Martin-HowardDepartment of Family Medicine, Boston Medical Center, Boston, MA, United States.ORCID https://orcid.org/0000-0001-8969-4392
Ioana MoldovanDepartment of Family Medicine, Boston Medical Center, Boston, MA, United States.ORCID https://orcid.org/0000-0001-5273-9251
Jennifer A MinerDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0003-2722-1121
Brian W JackDepartment of Family Medicine, School of Medicine, Boston University, Boston, MA, United States.ORCID https://orcid.org/0000-0002-6497-2437
Noelle E CarlozziDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0003-0439-9429

Funding

Michigan Institute for Clinical and Health Research (MICHR)UL1TR002240 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUMENG, JULIE C, MASHOUR, GEORGE ALEXANDER · 2017 to 2022
$54.9M
Addressing Social Determinants in Diabetes Care: the REDD-CAT health-related social needs screening toolR21DK121092 · NIDDK · BOSTON MEDICAL CENTER · PI CARLOZZI, NOELLE E., MITCHELL, SUZANNE E · 2019 to 2020
$485k
NCATS NIH HHS UL1 TR002240NIDDK NIH HHS R21 DK121092
6 · The paper itself

Abstract

backgroundThe management of type 2 diabetes mellitus (T2DM) includes mastery of complex care activities, self-management skills, and routine health care encounters to optimize glucose control and achieve good health. Given the lifelong course of T2DM, patients are faced with navigating complex medical and disease-specific information. This health-seeking behavior is a driver of health disparities and is associated with hospitalization and readmission. Given that health-seeking behavior is a potentially intervenable social determinant of health, a better understanding of how people navigate these complex systems is warranted.

objectiveTo address this need, we aimed to develop new patient-reported outcome (PRO) measures that evaluate health-seeking behavior in persons with T2DM. These new PROs were designed to be included in the Re-Engineered Discharge for Diabetes-Computer Adaptive Test (REDD-CAT) measurement system, which includes several other PROs that capture the importance of social determinants of health.

methodsOverall, 225 participants with T2DM completed 56 self-report items that examined health-seeking behaviors. Classical Test Theory and Item Response Theory were used for measurement development. Exploratory factor analysis (EFA; criterion ratio of eigenvalue 1 to eigenvalue 2 being >4; variance for eigenvalue 1 ≥40%) and confirmatory factor analysis (CFA; criterion 1-factor CFA loading <.50; 1-factor CFA residual correlation >.20; comparative fit index ≥0.90; Tucker-Lewis index ≥0.90; root mean square error of approximation <0.15) were used to determine unidimensional sets of items. Items with sparse responses, low-adjusted total score correlations, nonmonotonicity, low factor loading, and high residual correlations of high error modification indices were candidates for exclusion. A constrained graded response model was used to examine item misfit, and differential item functioning was examined to identify item bias. Cronbach α was used to examine internal consistency reliability for the new PROs (criterion ≥0.70), and floor and ceiling effects were examined (criterion ≤20%).

resultsFour unidimensional sets of items were supported by EFA (all EFA eigenvalue ratios >4; variance for eigenvalue 1=41.4%-67.3%) and CFA (fit statistics all exceeded criterion values). This included (1) "Health-Seeking Behavior: PCP-Specific" (6 items); (2) "Health-Seeking Behavior: General Beliefs" (13 items); (3) "Health-Seeking Behavior: Family or Friends-Specific" (5 items); and (4) "Health-Seeking Behavior: Internet-Specific" (4 items). All items were devoid of differential item functioning for age, sex, education, or socioeconomic status factors. "Health-Seeking Behavior: General Beliefs" was developed to include both a computer adaptive test and a 6-item short form version; all other PROs were developed as static short forms. The psychometric reliability of these new PROs was supported; internal consistency ranged from acceptable to excellent (Cronbach α=.78-.91), and measures were free of significant floor or ceiling effects (floor effects range: 0%-8.9%; ceiling effects range: 0%-8.4%).

conclusionsThe new REDD-CAT Health-Seeking Behavior PROs provide reliable assessments of health-seeking behaviors among those with T2DM.

Indexed as

assessmentsdiabetes computer adaptive testdiabetes mellitushealth carehealth-seeking behaviorhospitalizationoutcomes assessmentpatient reportedpatient-reported outcome measuresprimary caresocial determinants of healthsocioeconomictype 2 diabetes

Identifiers

PMID39576685
PMCPMC11624447

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LicenceCC BY
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Registered trials

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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.