Evidence map›Paper›PMID 38424523›Full record

ArticleBMC musculoskeletal disorders2024

Exploring patient perspectives on EQ-5D-5L data visualization within an individualized decision aid for total knee arthroplasty (TKA) in Alberta, Canada.

Jeffrey A Johnson, Ademola Itiola, Shakib Rahman, Christopher Smith, Allison Soprovich, Lisa A Wozniak, Deborah A Marshall

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Article in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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4 · The record

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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

7 authors.

Jeffrey A JohnsonSchool of Public Health, University of Alberta, 2-040 Li Ka Shing Centre for Health Research Innovation, Edmonton, AB, T6G 2E1, Canada. jeff.johnson@ualberta.ca.
Ademola ItiolaSchool of Public Health, University of Alberta, 2-040 Li Ka Shing Centre for Health Research Innovation, Edmonton, AB, T6G 2E1, Canada.
Shakib RahmanCumming School of Medicine, Health Sciences Centre, University of Calgary, 3330 Hospital Drive NW, Foothills campus, Calgary, AB, T2N 4N1, Canada.
Christopher SmithAlberta Bone and Joint Health Institute, 400 Crowfoot Crescent NW Suite 316, Calgary, AB, T3G 5H6, Canada.
Allison SoprovichSchool of Public Health, University of Alberta, 2-040 Li Ka Shing Centre for Health Research Innovation, Edmonton, AB, T6G 2E1, Canada.
Lisa A WozniakSchool of Public Health, University of Alberta, 2-040 Li Ka Shing Centre for Health Research Innovation, Edmonton, AB, T6G 2E1, Canada.
Deborah A MarshallCumming School of Medicine, Health Sciences Centre, University of Calgary, 3330 Hospital Drive NW, Foothills campus, Calgary, AB, T2N 4N1, Canada.

Funding

EuroQol Research Foundation 445-RA
6 · The paper itself

Abstract

backgroundDecision aids can help patients set realistic expectations. In this study, we explored alternative presentations to visualise patient-reported outcomes (EQ-5D-5L) data within an online, individualized patient decision aid for total knee arthroplasty (TKA) that, in part, generates individualized comparisons based on age, sex and body mass index, to enhance usability prior to implementation into routine clinical practice.

methodsWe used data visualization techniques to modify the presentation of EQ-5D-5L outcomes data within the decision aid. The EQ-5D-5L data was divided into two parts allowing patients to compare themselves to similar individuals (1) pre-surgery and (2) 1-year post-surgery. We created 2 versions for each part and sought patient feedback on comprehension, usefulness, and visual appeal. Patients from an urban orthopedic clinic were recruited and their ratings and comments were recorded using a researcher-administered checklist. Data were managed using Microsoft Excel, R version 3.6.1 and ATLAS.ti V8 and analyzed using descriptive statistics and directed content analysis.

resultsA total of 24 and 25 patients participated in Parts 1 and 2, respectively. Overall, there was a slight preference for Version 1 in Part 1 (58.3%) and Version 2 in Part 2 (64%). Most participants demonstrated adequate comprehension for all versions (range 50-72%) and commented that the instructions were clear. While 50-60% of participants rated the content as useful, including knowing the possible outcomes of surgery, some participants found the information interesting only, were unsure how to use the information, or did not find it useful because they had already decided on a treatment. Participants rated visual appeal for all versions favorably but suggested improvements for readability, mainly larger font and image sizes and enhanced contrast between elements.

conclusionsBased on the results, we will produce an enhanced presentation of EQ-5D-5L data within the decision aid. These improvements, along with further usability testing of the entire decision aid, will be made before implementation of the decision aid in routine clinical practice. Our results on patients' perspectives on the presentation of EQ-5D-5L data to support decision making for TKA treatments contributes to the knowledge on EQ-5D-5L applications within healthcare systems for clinical care.

Indexed as

Arthroplasty, Replacement, KneeQuality of LifeAlbertaData VisualizationDecision Support TechniquesHealth StatusHumansPsychometricsReproducibility of ResultsSurveys and QuestionnairesData visualizationEQ-5D-5LPatient decision aidPatient perspectivesPROMs

Identifiers

PMID38424523
PMCPMC10902977

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LicenceCC BY
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Registered trials

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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.