Evidence map›Paper›PMID 33295122›Full record

ArticlePain practice : the official journal of World Institute of Pain2021

Evaluation of the Pain Impact Index for Community-Dwelling Older Adults Through the Application of Rasch Modelling.

Julia F-M Gilmartin-Thomas, Andrew Forbes, Danny Liew, John J McNeil, Flavia M Cicuttini, Alice J Owen, Michael E Ernst, Mark R Nelson, Jessica Lockery, Stephanie A Ward and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Pain practice : the official journal of World Institute of Pain, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the 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, top 89% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

12 authors at 4 institutions in 3 countries.

Julia F-M Gilmartin-ThomasDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0002-1783-0161
Andrew ForbesDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
Danny LiewDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
John J McNeilDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
Flavia M CicuttiniDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
Alice J OwenDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
Michael E ErnstDepartment of Pharmacy Practice and Science, College of Pharmacy, The University of Iowa, Iowa City, Iowa, U.S.A.
Mark R NelsonDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
Jessica LockeryDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
Stephanie A WardDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
Ljoudmila BusijaDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
ASPREE Investigator Group
General Department of Preventive Medicine · VNUniversity of Iowa · USUniversity of Tasmania · AUUNSW Sydney · AU

Funding

ASPirin in Reducing Events in the ElderlyU01AG029824 · NIA · HENNEPIN HEALTHCARE RESEARCH INSTITUTE · PI MCNEIL, JOHN JAMES, MURRAY, ANNE M · 2009 to 2018
$64.6M
Main Administrative CoreU19AG062682 · NIA · HENNEPIN HEALTHCARE RESEARCH INSTITUTE · PI CHAN, ANDREW T, MCNEIL, JOHN JAMES · 2019 to 2023
$42.9M
Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
UTMB OAIC Research Education Component (REC)P30AG024832 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI JAMES S. GOODWIN, MD, MELISSA M. MORROW · 2005 to 2026
$26.7M
NIA NIH HHS P30 AG024824NIA NIH HHS P30 AG024832NIA NIH HHS U01 AG029824NIA NIH HHS U19 AG062682
6 · The paper itself

Abstract

objectiveEvaluate the Pain Impact Index, a simple, brief, easy-to-use, and novel tool to assess the impact of chronic pain in community-dwelling older adults.

methodsA Rasch modelling analysis was undertaken in Stata using a partial credit model suited to the Likert-type items that comprised the Index. The Index was evaluated for ordering of category thresholds, unidimensionality, overall fit to the Rasch model, measurement bias (Differential Item Functioning, DIF), targeting, and construct validity.

resultsThe four-item Pain Impact Index was self-completed by 6454 community-dwelling Australians who were aged at least 70 years and experienced pain on most days. Two items showed evidence of threshold disordering, and this was resolved by collapsing response categories (from 5 to 3) for all items. The rescored Index conformed to the unidimensionality assumption and had satisfactory fit with the Rasch model (analyses conducted on a reduced sample size to mitigate the potential for overpowering: n = 377, P > 0.0125, power > 77%). When considering uniform DIF, the most frequent sources of measurement bias were age, knee pain, and upper back pain. When considering nonuniform DIF, the most frequent source of measurement bias was knee pain. The Index had good ability to differentiate between respondents with different levels of pain impact and had highest measurement precision for respondents located around the average level of pain impact in the study sample. Both convergent and discriminant validity of the Index were supported.

conclusionThe Pain Impact Index showed evidence of unidimensionality, was able to successfully differentiate between levels of pain impact, and had good evidence of construct validity.

Indexed as

Independent LivingPainAgedAustraliaHumansPsychometricsReproducibility of ResultsSurveys and Questionnaireschronic paingeriatricindexpsychometricsRasch analysis

Identifiers

PMID33295122
PMCPMC8187294
OpenAlexW3091960367

What OpenQuestion holds

Textmetadata
LicenceTDM
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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 OpenQuestion graph.