Andrew Cuff
Recommendations on patient-facing websites regarding diagnostic imaging for low back, knee, and shoulder pain: A scoping review
Cuff, Andrew; Jesson, Thomas; Yeowell, Gillian; Dikomitis, Lisa; Foster, Nadine; Littlewood, Chris
Authors
Thomas Jesson
Gillian Yeowell
Lisa Dikomitis
Nadine Foster
Prof Chris Littlewood C.D.Littlewood@salford.ac.uk
Professor
Abstract
ObjectiveTo describe and synthesise the content of public-facing websites regarding the use of diagnostic imaging for adults with lower back pain, knee, and shoulder pain.MethodsScoping review conducted in accordance with PRISMA guidance. A Google search was performed to identify public-facing websites that were either United Kingdom-based, or National Health Service affiliated. The DISCERN tool was used to appraise website quality before information regarding the use of imaging was synthesised using thematic analysis.ResultsEighty-six websites were included, with 48 making reference to the use of imaging. The information within the majority (n = 43) of public-facing websites aligns with best available evidence. Where there is inconsistency, this may be explained by lower website quality. Three themes were apparent regarding the use of imaging – imaging to inform diagnosis and management; imaging in context; patient experience and expectations.ConclusionThe recommendations and rationale for use of imaging contained within public-facing websites does not appear to justify the increase in imaging rates for musculoskeletal pain in the UK.InnovationPublicly available information following a novel search strategy, is largely aligned with best evidence, further understanding is required to determine reasons for requesting imaging from a patient and clinician perspective.
Citation
Cuff, A., Jesson, T., Yeowell, G., Dikomitis, L., Foster, N., & Littlewood, C. (2022). Recommendations on patient-facing websites regarding diagnostic imaging for low back, knee, and shoulder pain: A scoping review. #Journal not on list, 1, Article 100040
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 13, 2022 |
Publication Date | Apr 23, 2022 |
Deposit Date | Nov 15, 2024 |
Publicly Available Date | Nov 19, 2024 |
Journal | PEC Innovation |
Electronic ISSN | 2772-6282 |
Peer Reviewed | Peer Reviewed |
Volume | 1 |
Article Number | 100040 |
Keywords | Shoulder Pain, Low Back Pain, Knee Pain, Diagnostic Imaging |
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Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
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