Evidence map›Paper›PMID 37162607›Full record

ArticleJournal of patient-reported outcomes2023

Feasibility of PROMIS using computerized adaptive testing during inpatient rehabilitation.

Riyad Bin Rafiq, Susan Yount, Sara Jerousek, Elliot J Roth, David Cella, Mark V Albert, Allen W Heinemann

Abstract read
In one paragraph

Article in Journal of patient-reported outcomes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
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

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

8 citing papers in PubMed.

  1. Article
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  4. Use of machine learning algorithms to construct models of symptom burden cluster risk in breast cancer patients undergoing chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
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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

7 authors.

Riyad Bin RafiqDepartment of Computer Science and Engineering, University of North Texas, Denton, TX, 76201, USA. riyadbinrafiq@my.unt.edu.ORCID 0000-0003-0779-2410
Susan YountDepartment of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Evanston, USA.
Sara JerousekAnn & Robert H. Lurie Children's Hospital, Chicago, USA.
Elliot J RothDepartment of Physical Medicine and Rehabilitation, Feinberg School of Medicine, Northwestern University, Evanston, USA.
David CellaDepartment of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Evanston, USA.
Mark V AlbertDepartment of Computer Science and Engineering, University of North Texas, Denton, TX, 76201, USA.
Allen W HeinemannDepartment of Physical Medicine and Rehabilitation, Feinberg School of Medicine, Northwestern University, Evanston, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere has been an increased significance on patient-reported outcomes in clinical settings. We aimed to evaluate the feasibility of administering patient-reported outcome measures by computerized adaptive testing (CAT) using a tablet computer with rehabilitation inpatients, assess workload demands on staff, and estimate the extent to which rehabilitation inpatients have elevated T-scores on six Patient Reported Outcomes Measurement Information System® (PROMIS®) measures.

methodsPatients (N = 108) with stroke, spinal cord injury, traumatic brain injury, and other neurological disorders participated in this study. PROMIS computerized adaptive tests (CAT) were administered via a web-based platform. Summary scores were calculated for six measures: Pain Interference, Sleep Disruption, Anxiety, Depression, Illness Impact Positive, and Illness Impact Negative. We calculated the percent of patients with T-scores equivalent to 2 standard deviations or greater above the mean.

resultsDuring the first phase, we collected data from 19 of 49 patients; of the remainder, 61% were not available or had cognitive or expressive language impairments. In the second phase of the study, 40 of 59 patients participated to complete the assessment. The mean PROMIS T-scores were in the low 50 s, indicating an average symptom level, but 19-31% of patients had elevated T-scores where the patients needed clinical action.

conclusionsThe study demonstrated that PROMIS assessment using a CAT administration during an inpatient rehabilitation setting is feasible with the presence of a research staff member to complete PROMIS assessment.

Indexed as

Computerized Adaptive TestingInpatientsFeasibility StudiesHumansPainComputerized adaptive testing (CAT)Inpatient rehabilitationPatient-reported outcomes measurement information system (PROMIS)Patient-reported outcomes (PROs)

Identifiers

PMID37162607
PMCPMC10172423

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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.