Evidence map›Paper›PMID 37444766›Full record

ArticleHealthcare (Basel, Switzerland)2023

Facilitating Access to Current, Evidence-Based Health Information for Non-English Speakers.

Paulo Henrique Silva Pelicioni, Antonio Michell, Paulo Cezar Rocha Dos Santos, Jennifer Sarah Schulz

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Canadian family physician Medecin de famille canadien · 2026
    Article
  3. Article
  4. Health Literacy in Africa-A Scoping Review of Scientific Publications.International journal of environmental research and public health · 2024
    Article
  5. Article
  6. Article
  7. 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

4 authors.

Paulo Henrique Silva PelicioniSchool of Health Sciences, University of New South Wales, Randwick 2031, Australia.
Antonio MichellThe George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Newtown 2042, Australia.
Paulo Cezar Rocha Dos SantosDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7632706, Israel.ORCID 0000-0001-7378-1897
Jennifer Sarah SchulzThe Faculty of Law and Justice, University of New South Wales, Randwick 2031, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scientific communication is crucial for the development of societies and the advancement of knowledge. However, many countries, and, consequently, their researchers, clinicians and community members, lack access to this information due to the information being disseminated in English rather than their native language. In this viewpoint, we aim to discuss the impacts of this problem and also outline recommendations for facilitating non-English speakers' access to current, evidence-based health information, thus extending the impact of science beyond academia. First, the authors discuss the barriers to accessing scientific health information for non-English speakers and highlight the negative impact of imposing English as a predominant language in academia. Next, the authors discuss the impacts of reduced access to clinical information for non-English speakers and how this reduced access impacts clinicians, clients, and health systems. Finally, the authors provide recommendations for enhancing access to scientific communication worldwide.

Indexed as

equityhealth informationnon-English communication

Identifiers

PMID37444766
PMCPMC10340483

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.