Evidence map›Paper›PMID 33501570›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2021

Evaluation of quality and readability of online patient information on osteoporosis and osteoporosis drug treatment and recommendations for improvement.

F Crawford-Manning, C Greenall, A Hawarden, L Bullock, S Leyland, C Jinks, J Protheroe, Z Paskins

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In one paragraph

Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

12 citing papers in PubMed.

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  10. A qualitative evaluation of internet information on hip and knee osteoarthritis.Annals of the Royal College of Surgeons of England · 2023
    Article
  11. Article
  12. 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

8 authors.

F Crawford-ManningSchool of Medicine, Keele University & Haywood Academic Rheumatology Centre, Stoke-on-Trent, UK. f.manning@keele.ac.uk.
C GreenallSchool of Medicine, Keele University, Newcastle-under-Lyme, Staffordshire, UK.
A HawardenSchool of Medicine, Keele University, Newcastle-under-Lyme, Staffordshire, UK.ORCID https://orcid.org/0000-0002-5462-579X
L BullockSchool of Medicine, Keele University, Newcastle-under-Lyme, Staffordshire, UK.ORCID https://orcid.org/0000-0002-4193-1835
S LeylandRoyal Osteoporosis Society, Bath, UK.
C JinksSchool of Medicine, Keele University, Newcastle-under-Lyme, Staffordshire, UK.ORCID https://orcid.org/0000-0002-3407-2446
J ProtheroeSchool of Medicine, Keele University, Newcastle-under-Lyme, Staffordshire, UK.ORCID https://orcid.org/0000-0002-9608-1487
Z PaskinsSchool of Medicine, Keele University & Haywood Academic Rheumatology Centre, Stoke-on-Trent, UK.ORCID https://orcid.org/0000-0002-7783-2986

Funding

Department of Health CS-2018-18-ST2-010National Institute for Health Research CS-2018-18-ST2-010
6 · The paper itself

Abstract

Patient information is important to help patients fully participate in their healthcare. Commonly accessed osteoporosis patient information resources were identified and assessed for readability, quality, accuracy and consistency. Resources contained inconsistencies and scored low when assessed for quality and readability. We recommend optimal language and identify information gaps to address.

introductionThe purpose of this paper is to identify commonly accessed patient information resources about osteoporosis and osteoporosis drug treatment, appraise the quality and make recommendations for improvement.

methodsPatient information resources were purposively sampled and text extracted. Data extracts underwent assessment of readability (Flesch Reading Ease and Flesch-Kincaid Grade Level) and quality (modified International Patient Decision Aid Standards (m-IPDAS)). A thematic analysis was conducted, and keywords and phrases were used to describe osteoporosis and its treatment identified. Findings were presented to a stakeholder group who identified inaccuracies and contradictions and discussed optimal language.

resultsNine patient information resources were selected, including webpages, a video and booklets (available online), from government, charity and private healthcare providers. No resource met acceptable readability scores for both measures of osteoporosis information and drug information. Quality scores from the modified IPDAS ranged from 21 to 64% (7-21/33). Thematic analysis was informed by Leventhal's Common-Sense Model of Disease. Thirteen subthemes relating to the identity, causes, timeline, consequences and controllability of osteoporosis were identified. Phrases and words from 9 subthemes were presented to the stakeholder group who identified a predominance of medical technical language, misleading terms about osteoporotic bone and treatment benefits, and contradictions about symptoms. They recommended key descriptors for providers to use to describe osteoporosis and treatment benefits.

conclusionsThis study found that commonly accessed patient information resources about osteoporosis have highly variable quality, scored poorly on readability assessments and contained inconsistencies and inaccuracies. We produced practical recommendations for information providers to support improvements in understanding, relevance, balance and bias, and to address information gaps.

Indexed as

OsteoporosisPharmaceutical PreparationsComprehensionHumansReadingPharmaceutical PreparationsOsteoporosisPatient informationQualityReadabilityRecommendations

Identifiers

PMID33501570
PMCPMC8376728

What OpenQuestion holds

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LicenceCC BY-NC
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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.