Evidence map›Paper›PMID 41696779›Full record

ArticleAdvances in physiology education2026

Health in translation: a workshop model for health literacy and lay science communication.

Samantha A Musso, Steven J Elmer, Erica A Wehrwein

Abstract read
In one paragraph

Article in Advances in physiology education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Samantha A MussoDepartment of Pharmacology and Toxicology, Michigan State University, East Lansing, Michigan, United States.ORCID 0000-0002-0443-766X
Steven J ElmerDoctor of Physical Therapy Program, St. Catherine University, St. Paul, Minnesota, United States.ORCID 0000-0002-7955-1416
Erica A WehrweinDepartment of Physiology, Michigan State University, East Lansing, Michigan, United States.ORCID 0000-0002-5197-2147

Funding

Katies for Aging Research and Equity (KARE) at St. Catherine UniversityR25AG060892 · NIA · ST. CATHERINE UNIVERSITY · PI CAMPBELL, KATHERINE ANN, GUGGENHEIMER, JOSH · 2019 to 2024
$2.0M
HHS | NIH | National Institute on Aging (NIA) R25AG060892NIA NIH HHS R25 AG060892
6 · The paper itself

Abstract

Health literacy is essential for informed decision-making, patient safety, and public trust in science. This, in part, relies on the ability of health professionals to communicate complex scientific information in language accessible to the general public, yet undergraduate health science programs often lack formal training in lay communication. We describe a 60-min interactive virtual workshop designed to introduce undergraduate students to health literacy and audience-centered science communication. The workshop combined brief instruction with hands-on use of an online readability tool (Sydney Health Literacy Lab, SHeLL), facilitated small-group activities, and peer feedback. Students worked collaboratively to translate a recent scientific abstract into language appropriate for 12th- and 8th-grade reading levels, practicing strategies to reduce jargon and simplify complex information. The workshop successfully engaged students and facilitated awareness of the challenges and importance of communicating health information clearly to nonexpert audiences. This adaptable workshop model provides a practical approach for integrating health literacy and science communication training into undergraduate education and workforce preparation.

Indexed as

CommunicationEducationHealth LiteracyHumanshealth literacylay communicationscience communication

Identifiers

PMID41696779
PMCPMC12997106

What OpenQuestion holds

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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.