Evidence map›Paper›PMID 23322247›Full record

ArticleClinical rheumatology2013

A qualitative and quantitative analysis of the characteristics of gout patient education resources.

Philip C Robinson, H Ralph Schumacher

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Article in Clinical rheumatology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  9. Review
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  11. Article
  12. Review
  13. Improving adherence to gout therapy: an expert review.Therapeutics and clinical risk management · 2018
    Review
  14. Article
  15. Article
  16. Article
  17. 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

2 authors.

Philip C RobinsonDepartment of Rheumatology, Princess Alexandra Hospital, Ipswich Road, Brisbane, Australia. philip.robinson@uq.edu.au
H Ralph Schumacher

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient education is an important aspect of gout management, but there is evidence that many patients lack adequate knowledge of their condition. Our aim was to examine the characteristics of gout patient education resources. Ten gout patient information resources were examined for readability (Flesch-Kincaid reading level, the Simple Measure of Gobbledygook measure and the Flesch Reading Ease Score), qualitative characteristics such as figure and jargon use and whether they included information on the major points of gout. The median readability grade level of the examined resources was 8.5. The difference in readability grade level between the highest and the lowest education resource was 6.3 grade levels. The information content of the resources was high with an average of only 3.9 proposed criteria of 19 (19 %) absent from the resources. Jargon use was low and concepts were usually explained. However, important information regarding acute flare prophylaxis during urate-lowering therapy initiation and titration and treating serum uric acid to target was absent from 60 % of the patient education resources. There was poor use of key messages at the start. Gout patient resources have a wide range of readability. Thirty percent of resources were above the average reading level of rheumatology outpatients reported in previous studies. Sixty percent of gout patient resources omit education items that could impact on patient adherence and in turn patient outcomes. Further research is needed into the literacy levels and education requirements of patients with gout.

Indexed as

GoutHealth CommunicationHealth EducationHealth LiteracyHumansInternational CooperationInternetLanguagePatient Education as TopicRheumatology

Identifiers

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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.