Evidence map›Paper›PMID 34706571›Full record

ArticleAssessment2023

Response Category Functioning on the Health Care Engagement Measure Using the Nominal Response Model.

Steven P Reise, Anne S Hubbard, Emily F Wong, Benjamin D Schalet, Mark G Haviland, Rachel Kimerling

Abstract read
In one paragraph

Article in Assessment, 2023. 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

6 authors.

Steven P ReiseUniversity of California, Los Angeles, USA.
Anne S HubbardUniversity of California, Los Angeles, USA.ORCID 0000-0003-1060-7239
Emily F WongUniversity of California, Los Angeles, USA.
Benjamin D SchaletNorthwestern University, Feinberg School of Medicine, Chicago, IL, USA.
Mark G HavilandLoma Linda University School of Medicine, Loma Linda, CA, USA.
Rachel KimerlingVA Palo Alto Health Care System, Menlo Park, CA, USA.

Funding

National Neuropsychological Network (NNN)R01MH118514 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DANIEL L DRANE, David W. Loring · 2019 to 2026
$9.4M
Development of a Patient-Reported Measure to Assess Healthcare EngagementI01HX002317 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI KIMERLING, RACHEL · 2018 to 2023
–
HSRD VA I01 HX002317NIMH NIH HHS R01 MH118514
6 · The paper itself

Abstract

As part of a scale development project, we fit a nominal response item response theory model to responses to the Health Care Engagement Measure (HEM). When using the original 5-point response format, categories were not ordered as intended for six of the 23 items. For the remaining, the category boundary discrimination between Categories 0 (

Indexed as

PsychometricsHumansSurveys and Questionnairescategory boundary discriminationitem discriminationitem response theorynominal response modelpatient engagement

Identifiers

PMID34706571
PMCPMC10262955

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.