Evidence map›Paper›PMID 42400693›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2026

A methodological overview of new measure development for the Limb Injury Measurement Battery for Quality of Life (LIMB-QOL).

Aaron J Boulton, Seung W Choi, Callie E Tyner, Jerry Slotkin, David S Tulsky

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Measuring satisfaction with orthotic and prosthetic devices.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  2. Overview of the limb injury measurement battery for quality of life (LIMB-QOL).Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    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

5 authors.

Aaron J BoultonCenter for Health Assessment Research and Translation, University of Delaware, 100 Discovery Blvd, Newark, DE, 19713, USA.ORCID http://orcid.org/0000-0001-7349-162X
Seung W ChoiDepartment of Educational Psychology, University of Texas at Austin, 1912 Speedway, Stop D5000, Austin, TX, 78712, USA.ORCID http://orcid.org/0000-0003-4777-5420
Callie E TynerCenter for Health Assessment Research and Translation, University of Delaware, 100 Discovery Blvd, Newark, DE, 19713, USA.ORCID http://orcid.org/0000-0003-2945-392X
Jerry SlotkinCenter for Health Assessment Research and Translation, University of Delaware, 100 Discovery Blvd, Newark, DE, 19713, USA.ORCID http://orcid.org/0000-0001-8199-3056
David S TulskyCenter for Health Assessment Research and Translation, University of Delaware, 100 Discovery Blvd, Newark, DE, 19713, USA. dtulsky@udel.edu.ORCID http://orcid.org/0000-0002-4335-4509

Funding

BADER Consortium W81XWH-11-2-0222Congressionally Directed Medical Research Programs W81XWH-17-1-0335
6 · The paper itself

Abstract

purposeTo describe the data analytic strategy used to develop new quality-of-life measures for the Limb Injury Measurement Battery for Quality of Life (LIMB-QOL).

methodsSeveral item pools were created and administered to a large sample of individuals with a history of major extremity injury or limb loss (n = 603). Item analyses adhered to modern psychometric standards (e.g., PROMIS®, COSMIN) and aimed to create several item response theory-based (IRT) item banks based on the graded response model. Items were removed iteratively based on pre-defined criteria and IRT model assumptions were met for the final item pools (monotonicity, unidimensionality, local item independence); differential item functioning, test-retest reliability, and convergent validity were then evaluated. Computer adaptive test and short-form versions of final item banks were created and examined using data simulation.

resultsItem analyses led to the development of 8 new item banks and two fixed-length scales. These 10 new LIMB-QOL measures demonstrated initial evidence of reliability (α range = 0.94-0.98, test-retest ICC range: 0.68-0.91) and convergent validity for use in individuals with a history of major extremity injury or limb loss, and abbreviated formats of the full item banks exhibited comparable performance.

conclusionThe new LIMB-QOL measures demonstrated strong psychometric properties and can be used to collect patient-reported assessments of quality of life following major extremity injury and limb loss. The analytic strategy described herein exemplifies how the PROMIS methodology can be utilized to design IRT-based patient-reported outcome measures to fill measurement gaps for specific clinical populations.

Indexed as

ExtremitiesPsychometricsQuality of LifeAdultAgedFemaleHumansMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesAmputationsHealth careHealth-related quality of lifeLower extremityOutcome assessmentPatient reported outcomesTraumaticUpper extremity

Identifiers

PMID42400693
PMCPMC13332956

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.