Evidence map›Paper›PMID 29633142›Full record

SynthesisJournal of general internal medicine2018

Focused Evidence Review: Psychometric Properties of Patient-Reported Outcome Measures for Chronic Musculoskeletal Pain.

Elizabeth S Goldsmith, Brent C Taylor, Nancy Greer, Maureen Murdoch, Roderick MacDonald, Lauren McKenzie, Christina E Rosebush, Timothy J Wilt

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in Journal of general internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 48 citations in OpenAlex.

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  15. Patient Race, Ethnicity, Language, and Pain Severity in Primary Care: A Retrospective Electronic Health Record Study.Pain management nursing : official journal of the American Society of Pain Management Nurses · 2022
    Article
  16. Do Limited English Proficiency and Language Moderate the Relationship Between Mental Health and Pain?Pain management nursing : official journal of the American Society of Pain Management Nurses · 2022
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Elizabeth S GoldsmithCenter for Chronic Disease Outcomes Research (CCDOR), Minneapolis VA Health Care System, Minneapolis, MN, USA. elizabeth.goldsmith2@va.gov.
Brent C TaylorCenter for Chronic Disease Outcomes Research (CCDOR), Minneapolis VA Health Care System, Minneapolis, MN, USA.
Nancy GreerCenter for Chronic Disease Outcomes Research (CCDOR), Minneapolis VA Health Care System, Minneapolis, MN, USA.
Maureen MurdochCenter for Chronic Disease Outcomes Research (CCDOR), Minneapolis VA Health Care System, Minneapolis, MN, USA.
Roderick MacDonaldCenter for Chronic Disease Outcomes Research (CCDOR), Minneapolis VA Health Care System, Minneapolis, MN, USA.
Lauren McKenzieCenter for Chronic Disease Outcomes Research (CCDOR), Minneapolis VA Health Care System, Minneapolis, MN, USA.
Christina E RosebushCenter for Chronic Disease Outcomes Research (CCDOR), Minneapolis VA Health Care System, Minneapolis, MN, USA.
Timothy J WiltCenter for Chronic Disease Outcomes Research (CCDOR), Minneapolis VA Health Care System, Minneapolis, MN, USA.
Minneapolis VA Health Care System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeveloping successful interventions for chronic musculoskeletal pain requires valid, responsive, and reliable outcome measures. The Minneapolis VA Evidence-based Synthesis Program completed a focused evidence review on key psychometric properties of 17 self-report measures of pain severity and pain-related functional impairment suitable for clinical research on chronic musculoskeletal pain.

methodsPain experts of the VA Pain Measurement Outcomes Workgroup identified 17 pain measures to undergo systematic review. In addition to a MEDLINE search on these 17 measures (1/2000-1/2017), we hand-searched (without publication date limits) the reference lists of all included studies, prior systematic reviews, and-when available-Web sites dedicated to each measure (PROSPERO registration CRD42017056610). Our primary outcome was the measure's minimal important difference (MID). Secondary outcomes included responsiveness, validity, and test-retest reliability. Outcomes were synthesized through evidence mapping and qualitative comparison.

resultsOf 1635 abstracts identified, 331 articles underwent full-text review, and 43 met inclusion criteria. Five measures (Oswestry Disability Index (ODI), Roland-Morris Disability Questionnaire (RMDQ), SF-36 Bodily Pain Scale (SF-36 BPS), Numeric Rating Scale (NRS), and Visual Analog Scale (VAS)) had data reported on MID, responsiveness, validity, and test-retest reliability. Seven measures had data reported on three of the four psychometric outcomes. Eight measures had reported MIDs, though estimation methods differed substantially and often were not clinically anchored.

conclusionsIn this focused evidence review, the most evidence on key psychometric properties in chronic musculoskeletal pain populations was found for the ODI, RMDQ, SF-36 BPS, NRS, and VAS. Key limitations in the field include substantial variation in methods of estimating psychometric properties, defining chronic musculoskeletal pain, and reporting patient demographics.

trial registrationRegistered in the PROSPERO database: CRD42017056610.

Indexed as

Patient Reported Outcome MeasuresAdultAgedAged, 80 and overChronic PainFemaleHumansMaleMiddle AgedMusculoskeletal PainPain MeasurementReproducibility of Resultschronic painmeasurementpainpsychometricssystematic review

Identifiers

PMID29633142
PMCPMC5902346
OpenAlexW2797403828

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.