ArticleScience in One Health2024
Improving health literacy and stakeholder-directed knowledge of One Health through analysis of readability: a cross sectional infodemiology study.
Article in Science in One Health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Harnessing community-based one health interventions implementation beyond Mpox outbreak management in Africa: insights and benefits.Infectious diseases of poverty · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The One Health approach involves collaboration across several sectors, including public health, veterinary and environmental sectors in an integrated manner. These sectors may be disparate and unrelated, however to succeed, all stakeholders need to understand what the other stakeholders are communicating. Likewise, it is important that there is public acceptance and support of One Health approaches, which requires effective communication between professional and institutional organisations and the public. To help aid and facilitate such communication, written materials need to be readable by all stakeholders, in order to communicate effectively. There has been an exponential increase in the publication of papers involving One Health, with <5 per year, in the 2000s, to nearly 500 published in 2023. To date, readability of One Health information has not been scrutinised, nor has it been considered as an integral intervention of One Health policy communication. The aim of this study was therefore to examine readability of public-facing One Health information prepared by 24 global organisations. Methods: Readability was calculated using Results: Readability of One Health information for the public is poor, not reaching readability reference standards. No information was found that had a readability of less than 9th grade (around 14 years old). Mean values for the FRE and FKGL were (19.4 ± 1.4) (target >60) and (15.6 ± 0.3) (target <8), respectively, with mean words per sentence and syllables per word of 20.5 and 2.0, respectively. Abstracts with "One Health" in the title were more difficult to read than those without "One Health" in the title (FRE: Conclusion: Considerable work is required in making One Health written materials more readable, particularly for children and adolescents (<14 years of age). It is important that any interventions or mitigations taken to support better public understanding of the One Health approach are not ephemeral, but have longer lasting and legacy value. Authors of One Health information should consider using readability calculators when preparing One Health information for their stakeholders, to check the readability of their work, so that the final material is within recommended readability reference parameters, to support the health literacy and stakeholder-directed knowledge of their readers.
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Registered trials
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.