Evidence map›Paper›PMID 40264542›Full record

ArticleMeasurement : interdisciplinary research and perspectives2025

Efficiency of PROMIS MCAT Assessments for Orthopaedic Care.

Michael Bass, Scott Morris, Sheng Zhang

Abstract read
In one paragraph

Article in Measurement : interdisciplinary research and perspectives, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Michael BassDepartment of Medical Social Sciences, Northwestern University, Chicago, IL, USA.
Scott MorrisDepartment of Psychiatry, Illinois Institute of Technology, Chicago, IL, USA.
Sheng ZhangDepartment of Psychiatry, Illinois Institute of Technology, Chicago, IL, USA.

Funding

Multidimensional Computer Adaptive Testing for Patient Reported OutcomesR01LM011962 · NLM · NORTHWESTERN UNIVERSITY AT CHICAGO · PI NEAPOLITAN, RICHARD E · 2015 to 2018
$1.3M
NLM NIH HHS R01 LM011962
6 · The paper itself

Abstract

Administration of patient-reported outcome measures (PROs), using multidimensional computer adaptive tests (MCATs) has the potential to reduce patient burden, but the efficiency of MCAT depends on the degree to which an individual's responses fit the psychometric properties of the assessment. Assessing patients' symptom burden through the administration of MCATs is gaining popularity in clinical settings, especially in orthopeadics where patients reporting low physical functioning and high pain interference may not always report high levels of depression. Are MCATs more efficient and precise than unidimensional CATs in a patient profile where the person-item fit varies between symptoms? Results depend on the item selection algorithm used in the assessments. Constraining item selection algorithm can substantially reduce test lengths where person-item fit is poor. This study demonstrates how MCAT can reduce patient burden in settings where collecting PROs is becoming part of routine care.

Indexed as

computer adaptive testing (CAT)item-response theory (IRT)patient-reported outcomes (PRO)

Identifiers

PMID40264542
PMCPMC12011352

What OpenQuestion holds

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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.