Evidence map›Paper›PMID 34606759›Full record

ArticleArchives of physical medicine and rehabilitation2022

Adaptive Measurement of Change: A Novel Method to Reduce Respondent Burden and Detect Significant Individual-Level Change in Patient-Reported Outcome Measures.

David J Weiss, Chun Wang, Andrea L Cheville, Jeffrey R Basford, Joseph DeWeese

Abstract read
In one paragraph

Article in Archives of physical medicine and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing 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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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

5 authors.

David J WeissDepartment of Psychology, University of Minnesota, Minneapolis, MN. Electronic address: djweiss@umn.edu.
Chun WangCollege of Education, University of Washington, Seattle, WA.
Andrea L ChevilleDepartment of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN.
Jeffrey R BasfordDepartment of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN.
Joseph DeWeeseDepartment of Psychology, University of Minnesota, Minneapolis, MN.

Funding

Computerized Adaptive Testing to Direct Delivery of Hospital-Based RehabilitationR01HD079439 · NICHD · MAYO CLINIC ROCHESTER · PI CHEVILLE, ANDREA LYNNE · 2015 to 2019
$3.7M
NICHD NIH HHS R01 HD079439
6 · The paper itself

Abstract

objectiveTo describe the adaptive measurement of change (AMC) as a means to identify psychometrically significant change in reported function of hospitalized patients and to reduce respondent burden on follow-up assessments.

designThe AMC method uses multivariate computerized adaptive testing (CAT) and psychometric hypothesis tests based in item response theory to more efficiently measure intra-individual change using the responses of a single patient over 2 or more testing occasions. Illustrations of the utility of AMC in clinical care and estimates of AMC-based item reduction are provided using the Functional Assessment in Acute Care Multidimensional Computerized Adaptive Test (FAMCAT), a newly developed functional multidimensional CAT-based measurement of basic mobility, daily activities, and applied cognition.

settingTwo quaternary hospitals in the Upper Midwest.

participantsFour hundred ninety-five hospitalized patients who completed the FAMCAT on 2 to 4 occasions during their hospital stay.

interventionN/A.

resultsOf the 495 patients who completed more than 1 FAMCAT, 72% completed 2 sessions, 13% completed 3, and 15% completed 4, with 22.1%, 23.4%, and 23.0%, respectively, exhibiting significant multivariate change. Use of the AMC in conjunction with the FAMCAT reduced respondent burden from that of the FAMCAT alone for follow-up assessments. On average, when used without the AMC, 22.7 items (range, 20.4-24.4) were administered during FAMCAT sessions. Post hoc analyses determined that when the AMC was used with the FAMCAT a mean±standard deviation reduction in FAMCAT number of items of 13.6 (11.1), 13.1 (9.8), and 18.1 (10.8) would occur during the second, third, and fourth sessions, respectively, which corresponded to a reduction in test duration of 3.0 (2.4), 3.0 (2.8), and 4.7 (2.6) minutes. Analysis showed that the AMC requires no assumptions about the nature of change and provides data that are potentially actionable for patient care. Various patterns of significant univariate and multivariate change are illustrated.

conclusionsThe AMC method is an effective and parsimonious approach to identifying significant change in patients' measured CAT scores. The AMC approach reduced FAMCAT sessions by an average of 12.6 items (55%) and 2.9 minutes (53%) among patients with psychometrically significant score changes.

Indexed as

Health ServicesPatient Reported Outcome MeasuresHumansPsychometricsResearch DesignSurveys and QuestionnairesFAMCATItem response theoryMeasurement of individual changeMultidimensional computerized adaptive testingPatient-reported outcomesRehabilitationRespondent burden

Identifiers

PMID34606759
PMCPMC8971145

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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.