Evidence map›Paper›PMID 36315318›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2023

Development and calibration data for the Healthcare Access Item Bank: a new computer adaptive test for persons with type 2 diabetes mellitus.

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

Open access · greenAbstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Development and calibration data for the Illness Burden item bank: a new computer adaptive test for persons with type 2 diabetes mellitus.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
  5. Development and calibration data for the Medication Adherence Item Bank: a new computer adaptive test for persons with type 2 diabetes mellitus.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    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 at 4 institutions in 1 country.

Noelle E CarlozziDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA. carlozzi@med.umich.edu.ORCID http://orcid.org/0000-0003-0439-9429
Michael A KallenDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Jonathan P TroostMichigan Institute for Clinical and Health Research, University of Michigan, Ann Arbor, MI, USA.
Alexa BraggDepartment of Family Medicine, Boston University School of Medicine, Boston, MA, USA.
Jessica Martin-HowardDepartment of Family Medicine, Boston University School of Medicine, Boston, MA, USA.
Barbara De La CruzDepartment of Family Medicine, Boston Medical Center, Boston, MA, USA.
Jennifer A MinerDepartment of Physical Medicine & Rehabilitation, Center for Clinical Outcomes Development and Application (CODA), University of Michigan, North Campus Research Complex, 2800 Plymouth Road, Building NCRC B14, Room G216, Ann Arbor, MI, 48109-2800, USA.
Ioana MoldovanDepartment of Family Medicine, Boston Medical Center, Boston, MA, USA.
Brian W JackDepartment of Family Medicine, Boston University School of Medicine, Boston, MA, USA.
Suzanne MitchellDepartment of Family Medicine, Boston University School of Medicine, Boston, MA, USA.
Boston University · USUniversity of Michigan · USBoston Medical Center · USNorthwestern University · US

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 TR002240NCATS NIH HHS UL1TR002240NIDDK NIH HHS R21 DK121092NIDDK NIH HHS R21DK121092
6 · The paper itself

Abstract

purposeThe purpose of this study was to develop a new measure to evaluate the ability to receive medical services when needed among persons with type 2 diabetes mellitus.

methodsThe Healthcare Access measure was developed using data from 225 persons with type 2 diabetes mellitus who completed an item pool comprised of 54 questions pertaining to their experience accessing healthcare services.

resultsExploratory and confirmatory factor analyses supported the retention of 45 items. In addition, a constrained graded response model (GRM), as well as analyses that examined item misfit and differential item functioning (investigated for age, sex, education, race, and socioeconomic status), supported the retention of 44 items in the final item bank. Expert review and GRM item calibration products were used to inform the selection of a 6-item static short form and to program the Healthcare Access computer adaptive test (CAT). Preliminary data supported the reliability (i.e., internal consistency and test-retest reliability) and validity (i.e., convergent, discriminant, and known-groups) of the new measure.

conclusionsThe new Healthcare Access item bank can be used to examine the experiences that persons with type 2 diabetes mellitus have with healthcare access, to better target treatment improvements and mitigate disparities; it will be available as a part of the Neuro-Qol measurement system through healthmeasures.net and the PROMIS Application Programmable Interface (API) in early 2023.

Indexed as

Diabetes Mellitus, Type 2Quality of LifeCalibrationComputersHumansPsychometricsReproducibility of ResultsSurveys and QuestionnairesDelivery of healthcareDiabetes, mellitus, type 2Health servicesOutcomes assessment, healthcarePatient-reported outcome measures

Identifiers

PMID36315318
PMCPMC10472318
OpenAlexW4307776081

What OpenQuestion holds

Textmetadata
LicenceTDM
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.