Evidence map›Paper›PMID 32221843›Full record

ArticleJournal of community genetics2020

The readability of online health resources for phenylketonuria.

Jessie M Marsh, Thomas D Dobbs, Hayley A Hutchings

Abstract read
In one paragraph

Article in Journal of community genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Search engine optimization and its association with readability and accessibility of diabetic retinopathy websites.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Article
  5. Review
  6. Article
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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

3 authors.

Jessie M MarshPatient and Population Health and Informatics Research, Swansea University Medical School, Singleton Park, Swansea, SA2 8PP, UK.
Thomas D DobbsReconstructive Surgery and Regenerative Medicine Research Group, Institute of Life Sciences, Swansea University Medical School, Swansea, SA2 8PP, UK.ORCID https://orcid.org/0000-0002-5176-7741
Hayley A HutchingsPatient and Population Health and Informatics Research, Swansea University Medical School, Singleton Park, Swansea, SA2 8PP, UK. h.a.hutchings@swansea.ac.uk.ORCID https://orcid.org/0000-0003-4155-1741

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenylketonuria (PKU) is a condition that results in the build-up of phenylalanine in the blood. This can cause severe brain damage and neurological issues if left untreated. Management can be complex and many individuals may turn to the internet to access further information. It is important that resources are understood as misinterpretation could result in harm to health. The aim of this study was to assess the readability of online resources for PKU and to assess their visual appearance using a communication sciences assessment framework. We searched the top five websites through Google using the search term "phenylketonuria/PKU". We then analysed the text content of the identified websites using five readability formulae to determine the USA and UK reading grade. The median readability level across the five websites was US grade/UK grade 10.6/11.6, with individual grades ranging from 10/11 to 13.3/14.3. We found wide differences in the focus, layout and general appearance of the websites. The readability of resources was much higher than the recommended US 6th grade level. Online resources for PKU need to be simplified to ensure they can be easily understood.

Indexed as

Online informationPhenylketonuriaPKUReadability

Identifiers

PMID32221843
PMCPMC7475157

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.