Evidence map›Paper›PMID 39650577›Full record

ArticleHealth policy and technology2024

Individual Factors That Affect Laypeople's Understanding of Definitions of Medical Jargon.

David A Levy, Harmon S Jordan, John P Lalor, Jenni Kim Smirnova, Wen Hu, Weisong Liu, Hong Yu

Abstract read
In one paragraph

Article in Health policy and technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

David A LevyDepartment of Computer Science, University of Massachusetts Lowell, Lowell, MA.
Harmon S JordanAssistant Professor, Tufts University School of Medicine, Boston, MA.
John P LalorDepartment of IT, Analytics, and Operations, Mendoza College of Business, University of Notre Dame, Notre Dame, IN.
Jenni Kim SmirnovaPrecision for Medicine, Flemington, NJ.
Wen HuCenter for Biomedical and Health Research in Data Sciences, University of Massachusetts Lowell, Lowell, MA.
Weisong LiuCenter for Biomedical and Health Research in Data Sciences, University of Massachusetts Lowell, Lowell, MA.
Hong YuCenter for Biomedical and Health Research in Data Sciences, University of Massachusetts Lowell, Lowell, MA.

Funding

Social and behavioral determinants of health and Alzheimer’s Disease: Cohort study of the US military veteran populationR01AG080670 · NIA · UNIVERSITY OF MASSACHUSETTS LOWELL · PI HONG YU · 2023 to 2026
$4.5M
Social and behavioral determinants of MOUD utilization and opioid overdoseR01DA056470 · NIDA · UNIVERSITY OF MASSACHUSETTS LOWELL · PI Wenjun Li, DAVID A SMELSON · 2023 to 2026
$2.9M
Resource Curation and Evaluation for EHR Note ComprehensionR01LM012817 · NLM · UNIVERSITY OF MASSACHUSETTS LOWELL · PI YU, HONG · 2018 to 2020
$1.0M
Surveillance of Modifiable Social Determinants of Health for Prioritizing Wraparound SupportsI01HX003711 · VA · EDITH NOURSE ROGERS MEMORIAL VETERANS HOSPITAL · PI SMELSON, DAVID A, YU, HONG · 2024 to 2025
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HSRD VA I01 HX003711NIA NIH HHS R01 AG080670NIDA NIH HHS R01 DA056470NLM NIH HHS R01 LM012817
6 · The paper itself

Abstract

Objective: Patients have difficulty understanding medical jargon in electronic health record (EHR) notes. Lay definitions can improve patient comprehension, which is the goal of the NoteAid project. We assess whether the NoteAid definitions are understandable to laypeople and whether understandability differs with respect to layperson characteristics. Methods: Definitions for jargon terms were written for laypersons with a 4th-to-7th-grade reading level. 300 definitions were randomly sampled from a corpus of approximately 30,000 definitions. 280 laypeople (crowdsource workers) were recruited; each layperson rated the understandability of 20 definitions. Understandability was rated on a 5-point scale. Using a generalized estimating equation model (GEE) we analyzed the relationship between understandability and age, sex, race/ethnicity, education level, native language, health literacy, and definition writer. Results: Overall, 81.1% (95% CI: 76.5-85.7%) of the laypeople reported that the definitions were understandable. Males were less likely to report understanding the definitions than females (OR: 0.73, 95% CI: 0.63-0.84). Asians, Hispanics, and those who marked their race/ethnicity as "other" were more likely to report understanding the definitions than whites (Asians: OR: 1.43, 95% CI: 1.17-1.73; Hispanics: OR: 1.86, 95% CI: 1.33-2.59; Other: OR: 2.48, 95% CI: 1.65-3.74). Laypeople whose native language was not English were less likely to report understanding the definitions (OR: 0.51, 95% CI: 0.36-0.74). Laypeople with lower health literacy were less likely to report understanding definitions (health literacy score 3: OR: 0.51, 95% CI: 0.43-0.62; health literacy score 4: OR: 0.40, 95% CI: 0.29-0.55). Conclusion: Understandability of definitions among laypeople was high. There were statistically significant race/ethnic differences in self-reported understandability, even after controlling for multiple demographics.

Indexed as

electronic health recordshealth informaticshealth literacyjargon identification

Identifiers

PMID39650577
PMCPMC11618823

What Socratic holds

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Registered trials

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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 Socratic graph.