Evidence map›Paper›PMID 35059882›Full record

ArticleClinical rheumatology2022

Development of a screening tool to identify patients with axial spondyloarthritis: a cognitive interview study.

Divya Shridharmurthy, Sara Khan, Kate L Lapane, Esther Yi, Jonathan Kay, Shao-Hsien Liu

Abstract read
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In one paragraph

Article in Clinical rheumatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

6 authors at 3 institutions in 1 country.

Divya Shridharmurthy *Division of Epidemiology, Department of Population and Quantitative Health Sciences, UMass Chan Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
Sara Khan *Division of Epidemiology, Department of Population and Quantitative Health Sciences, UMass Chan Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
Kate L LapaneDivision of Epidemiology, Department of Population and Quantitative Health Sciences, UMass Chan Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
Esther YiNovartis Pharmaceuticals Corporation, East Hanover, NJ, 07936, USA.
Jonathan KayDivision of Epidemiology, Department of Population and Quantitative Health Sciences, UMass Chan Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
Shao-Hsien LiuDivision of Epidemiology, Department of Population and Quantitative Health Sciences, UMass Chan Medical School, 368 Plantation Street, Worcester, MA, 01605, USA. shaohsien.liu@umassmed.edu.ORCID http://orcid.org/0000-0003-4317-4986
UMass Memorial Health Care · USUniversity of Massachusetts Chan Medical School · USNovartis (United States) · US

Funding

University of Massachusetts Center for Clinical and Translational ScienceUL1TR000161 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2012 to 2015
$11.0M
NCATS NIH HHS UL1TR000161
6 · The paper itself

Abstract

objectiveTo further refine the wording of screening questions and examine their face validity through cognitive interviews with axial spondyloarthritis (axSpA) and chronic mechanical back pain patients.

methodsIn-depth, semi-structured cognitive interviews were conducted with 30 patients (10 axSpA; 20 chronic mechanical back pain patients) to assess the face validity and comprehensibility of the screening questions. The interview protocol focused on 12 questions/domains including participants' feedback/thoughts on the duration of suffering from back pain, age at onset of back pain, pace of back pain development, improvement of pain with movement or rest, nocturnal back pain improving upon awakening, pain in other parts of the body, responsiveness of pain to nonsteroidal anti-inflammatory drug (NSAID) use, history of autoimmune conditions, and domains such as sleep, sitting, and stiffness. The Flesch-Kincaid grade level and Flesch reading ease scores were then analyzed for the revised versions of screening questions.

resultsParticipants preferred questions that allowed them to provide more details regarding the frequency of their symptoms. Questions were refined for clarity and eliminated if participants considered them to be irrelevant (e.g., NSAIDs). Two sample screeners were derived from twelve questions each with an overall reading grade of 7.5 and reading ease of 65.7%.

conclusionsIt is feasible to design a screening tool that is accessible to most (e.g., reading level) and clear to individuals with back pain. An evidence-based approach to demonstrate the validity of the screening tool will be critical for it to be implemented widely into clinical practice. Key Points • Our study developed two sample screeners that are clear to individuals with back pain and accessible to most with an overall Flesch-Kincaid reading grade of 7.5 and Flesch reading ease of 65.7%. • Questions that were considered irrelevant to participants were eliminated such as responsiveness of pain to nonsteroidal anti-inflammatory drug (NSAID). • It is feasible to design a screening tool that is accessible to most (e.g., reading level) and clear to individuals with back pain.

Indexed as

Axial SpondyloarthritisAnti-Inflammatory Agents, Non-SteroidalBack PainCognitionHumansQualitative ResearchAnti-Inflammatory Agents, Non-SteroidalAxial spondyloarthritisBack painHealth Assessment QuestionnaireSpondyloarthropathy

Identifiers

PMID35059882
OpenAlexW4205746911

What OpenQuestion holds

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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.