Evidence map›Paper›PMID 22952566›Full record

ArticleThe Australasian medical journal2012

Assessing the quality, suitability and readability of internet-based health information about warfarin for patients.

Sayeed Nasser, Judy Mullan, Beata Bajorek

Abstract read
In one paragraph

Article in The Australasian medical journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.0field-weighted citation impact, top 4% of its field
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

11 citing papers in PubMed, 31 citations in OpenAlex.

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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 at 1 institution in 1 country.

Sayeed NasserFaculty of Pharmacy, University of Sydney, Australia.
Judy Mullan
Beata Bajorek
University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWarfarin is a high-risk medication where patient information may be critical to help ensure safe and effective treatment. Considering the time constraints of healthcare providers, the internet can be an important supplementary information resource for patients prescribed warfarin. The usefulness of internet-based patient information is often limited by challenges associated with finding valid and reliable health information. Given patients' increasing access of the internet for information, this study investigated the quality, suitability and readability of patient information about warfarin presented on the internet.

methodPreviously validated tools were used to evaluate the quality, suitability and readability of patient information about warfarin on selected websites.

resultsThe initial search yielded 200 websites, of which 11 fit selection criteria, comprising seven non-commercial and four commercial websites. Regarding quality, most of the non-commercial sites (six out of seven) scored at least an 'adequate' score. With regard to suitability, 6 of the 11 websites (including two of the four commercial sites) attained an 'adequate' score. It was determined that information on 7 of the 11 sites (including two commercial sites) was written at reading grade levels beyond that considered representative of the adult patient population with poor literacy skills (e.g. school grade 8 or less).

conclusionDespite the overall 'adequate' quality and suitability of the internet derived patient information about warfarin, the actual usability of such websites may be limited due to their poor readability grades, particularly in patients with low literacy skills.

Indexed as

health informationinternetqualityreadabilitysuitabilityWarfarin

Identifiers

PMID22952566
PMCPMC3433734
OpenAlexW2113254373

What OpenQuestion holds

Textmetadata
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.