Communicating risk of asthma attacks to patients and the public

<bold>Background:</bold> Asthma attacks lead to morbidity and mortality but the risk is not always recognised. Effective risk communication is key. <bold>Aims:</bold> To evaluate different risk presentations for conveying the risk of asthma attacks and treatment benefit and how health literacy and numeracy impact effectiveness. <bold>Methods:</bold> Participants were shown 6 different presentations online in random order, each with a different risk value. Comprehension and satisfaction were assessed. Participants were then shown one risk value in 6 different ways (Fig. 1) and asked to choose the presentation conveying the highest risk and their preferred choice. Subjective numeracy and health literacy scales were completed. <fig><object-id>erj;64/suppl_68/PA2587/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig> <italic>Fig. 1:Risk presentations</italic> <bold>Results:</bold> Ninety-one adults completed the survey. Most (80%) had high health literacy and moderate numeracy (mean±SD 3.8±0.6 out of 5). Comprehension was worst for OR with less than half (46±24%) interpreting risk correctly. Satisfaction (out of 5) was highest with IA (3.8±1.1) and lowest with OR (2.3±1.1). OR was perceived by 36% of resopndents as conveying the highest risk. IA was preferred by most (62%). Those with lower health literacy had worse comprehension (p<0.05) except for OR and thermometer presentations. Numeracy was correlated with comprehension for all (p<0.05) but AR and IA. <bold>Conclusions:</bold> Odds ratio was the most difficult to comprehend and least satisfying presentation. Most preferred IA. Health literacy and numeracy affect comprehension.

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Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.pa2587
Primary Topic
Mobile Health and mHealth Applications
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article
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article

Communicating risk of asthma attacks to patients and the public

Amy Hai Yan Chan, Jeff Harrison, Haifeng Yang
Mobile Health and mHealth Applications
article

Communicating risk of asthma attacks to patients and the public

Amy Hai Yan Chan, Jeff Harrison, Haifeng Yang
article en

Abstract

<bold>Background:</bold> Asthma attacks lead to morbidity and mortality but the risk is not always recognised. Effective risk communication is key. <bold>Aims:</bold> To evaluate different risk presentations for conveying the risk of asthma attacks and treatment benefit and how health literacy and numeracy impact effectiveness. <bold>Methods:</bold> Participants were shown 6 different presentations online in random order, each with a different risk value. Comprehension and satisfaction were assessed. Participants were then shown one risk value in 6 different ways (Fig. 1) and asked to choose the presentation conveying the highest risk and their preferred choice. Subjective numeracy and health literacy scales were completed. <fig><object-id>erj;64/suppl_68/PA2587/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig> <italic>Fig. 1:Risk presentations</italic> <bold>Results:</bold> Ninety-one adults completed the survey. Most (80%) had high health literacy and moderate numeracy (mean±SD 3.8±0.6 out of 5). Comprehension was worst for OR with less than half (46±24%) interpreting risk correctly. Satisfaction (out of 5) was highest with IA (3.8±1.1) and lowest with OR (2.3±1.1). OR was perceived by 36% of resopndents as conveying the highest risk. IA was preferred by most (62%). Those with lower health literacy had worse comprehension (p<0.05) except for OR and thermometer presentations. Numeracy was correlated with comprehension for all (p<0.05) but AR and IA. <bold>Conclusions:</bold> Odds ratio was the most difficult to comprehend and least satisfying presentation. Most preferred IA. Health literacy and numeracy affect comprehension.

University of Auckland (NZ)
Gender equality
Openalex Percentile: Top 65%
Mobile Health and mHealth Applications
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Communicating risk of asthma attacks to patients and the public — Amy Hai Yan Chan, Jeff Harrison, et al. · (2024) | TGRS Research Map | TGRS