Evidence map›Paper›PMID 35768043›Full record

ArticleThe journal of pain2022

Analyses of Cross-Sectional Data to Link the PEG With the Patient Reported Outcomes Measurement and Information System (PROMIS) Global Physical Health Scale.

Ron D Hays, Mary Slaughter, Anthony Rodriguez, Maria Orlando Edelen, Patricia M Herman

Registry-linked trialAbstract read
In one paragraph

Article in The journal of pain, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04426812 (Measuring Chronic Pain Impact), which is not on this map. Not yet cited in PubMed.

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

NCT04426812 completednot on this map

Measuring Chronic Pain Impact

TypeobservationalSponsorRANDRan2021 to 2024Enrolled11,146ConditionsChronic PainArmsNo intervention, just data collection
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

5 authors.

Ron D HaysDivision of General Internal Medicine and Health Services Research, UCLA Department of Medicine, Los Angeles, California. Electronic address: drhays@ucla.edu.
Mary SlaughterRAND Corporation, Behavioral and Policy Sciences, Santa Monica, California.
Anthony RodriguezRAND Corporation, Behavioral and Policy Sciences, Boston, Massachusetts.
Maria Orlando EdelenPatient Reported Outcomes, Value and Experience (PROVE) Center, Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts.
Patricia M HermanRAND Corporation, Behavioral and Policy Sciences, Santa Monica, California.

Funding

Measuring Chronic Pain ImpactR01AT010402 · NCCIH · RAND CORPORATION · PI HAYS, RONALD DALE, HERMAN, PATRICIA M · 2020 to 2023
$2.5M
NCCIH NIH HHS R01 AT010402
6 · The paper itself

Abstract

It is challenging to synthesize findings across studies of pain impact. This study develops a link to estimate the Patient-Reported Outcomes Measurement Information System (PROMIS) global health measure from the 3-item Pain intensity, interference with Enjoyment of life, interference with General activity (PEG) scale. The PROMIS and PEG items were administered to 795 adults (average age = 51; 54% female, 79% White). We estimated correlations among the PEG and PROMIS items and conducted factor analysis to identify the best subset of PROMIS items for linking to the PEG. An item response theory graded response model was estimated to link the PEG with the 4-item PROMIS global physical health scale. A categorical single-factor model and a bifactor model provided support for a single dimension for the PEG and PROMIS global physical health items. The product-moment correlation between estimated PROMIS global physical health scale from the PEG and the actual global physical health score was .74. The mean difference between estimated PROMIS global physical health scale score from the PEG and the observed global physical health score was less than a T-score point. This study makes it possible to estimate the average global physical health for group-level comparisons in research that includes the PEG. PERSPECTIVE: This article describes an empirical link of the PEG to the PROMIS global physical health scale that makes it possible to estimate the average global physical health in studies that include the PEG. This link can facilitate comparisons among studies that have not administered the PEG or the PROMIS global health scale.

Indexed as

Global HealthPatient Reported Outcome MeasuresAdultCross-Sectional StudiesFemaleHumansInformation SystemsMaleMiddle AgedPain Measurementgroup comparisonsinerference with General Activityinterference wih Enjoyment of lifeitem response theorylinkingPain Intensitypatient-reported outcomes measurement information system

Identifiers

PMID35768043
PMCPMC9752773

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Registered trials

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.