Assessing Consumer Health Vocabulary Familiarity
Author Information
Author(s): Laura Slaughter, Alla Keselman, Tony Tse, Jon Crowell, Allen Browne, Long Ngo, Qing Zeng
Primary Institution: Brigham and Women's Hospital, Harvard Medical School
Hypothesis
Predicted familiarity likelihood level will have a significant effect on consumer surface-level term familiarity and consumer understanding of the underlying concept.
Conclusion
The study suggests that the CHV term familiarity model is predictive of consumer recognition and understanding of terms in the health domain.
Supporting Evidence
- The study found that health literacy significantly predicted surface-level familiarity scores.
- Participants' understanding of health terms lagged behind their recognition of those terms.
- The model developed can help create more accessible health materials for consumers.
Takeaway
This study looked at how well people understand health-related words. It found that people often recognize these words but don't always understand what they mean.
Methodology
Participants completed surveys assessing their familiarity with health vocabulary and a health literacy assessment.
Potential Biases
The study's findings may not generalize well due to the limited demographic diversity of participants.
Limitations
The study may have sampling bias, as most participants had at least some college education, which could obscure the effects of education on familiarity.
Participant Demographics
{"gender":{"male":16,"female":36},"education":{"below_high_school":2,"high_school":9,"some_college":20,"college":13,"graduate_school":8},"age":{"18-25":5,"26-39":13,"40-59":25,"60_and_above":9},"race":{"white":25,"black":13,"hispanic":8,"other":6},"health_literacy":{"high":50,"moderate":2}}
Statistical Information
P-Value
p<0.001
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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