Objective: Health literacy and numeracy are necessary to understand health information and to make informed medical decisions. This study explored the relationships among health literacy, numeracy, and ability to accurately interpret graphical representations of breast cancer risk.
Methods: Participants (N=120) were recruited from the Facing Our Risk of Cancer Empowered (FORCE) membership. Health literacy and numeracy were assessed. Participants interpreted graphs depicting breast cancer risk, made hypothetical treatment decisions, and rated preference of graphs.
Results: Most participants were Caucasian (98%) and had completed at least one year of college (93%). Fifty-two percent had breast cancer, 86% had a family history of breast cancer, and 57% had a deleterious BRCA gene mutation. Mean health literacy score was 65/66; mean numeracy score was 4/6; and mean graphicacy score was 9/12. Education and numeracy were significantly associated with accurate graph interpretation (r=0.42, p<0.001 and r=0.65, p<0.001, respectively). However, after adjusting for numeracy in multivariate linear regression, education added little to the prediction of graphicacy (r(2)=0.41 versus 0.42, respectively).
Conclusion: In our highly health-literate population, numeracy was predictive of graphicacy.
Practice Implications: Effective risk communication strategies should consider the impact of numeracy on graphicacy and patient understanding.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4041683 | PMC |
http://dx.doi.org/10.1016/j.pec.2010.04.027 | DOI Listing |
J Commun Healthc
January 2025
Venditti Consulting, LLC, Westport, CT, United States.
By addressing communication gaps, the integration of AI tools in healthcare has a greater ability to improve decision-making and to empower patients with more control over their health. Current systems for navigating healthcare - such as finding providers or understanding costs - are fragmented and cumbersome, often leaving patients frustrated and uninformed. An AI Healthcare Assistant App, leveraging advances in health IT interoperability, price transparency, and user-centred design, could simplify these processes.
View Article and Find Full Text PDFBMC Med Educ
January 2025
School of Health Management, Southern Medical University, Guangzhou, 510515, China.
Background: Public health professionals (PHPs) have increasing information needs to inform evidence-based public health decisions and practice, which requires good information literacy. A comprehensive and reliable assessment tool is necessary to assess PHPs' literacy and guide future promotion programs. However, there is a lack of measurement tools specifically for the information literacy of PHPs.
View Article and Find Full Text PDFBMC Public Health
January 2025
Department of Public Health and Primary Care, Leiden University Medical Centre, Hippocratespad 21, Leiden, Netherlands.
Background: eHealth literacy (eHL) is positively associated with health-related behaviors and outcomes. Previous eHL studies primarily collected data from online users and seldom focused on the general population in low- and middle-income countries (LMIC). Additionally, knowledge about factors that affect eHL is limited.
View Article and Find Full Text PDFBMC Public Health
January 2025
Population Health Research Group, Health Metrics Research Center, Iranian Institute for Health Sciences Research, ACECR, Tehran, Iran.
Background: Women's reproductive years are a time of increased vulnerability to mental health problems. However, only a small proportion of women seek help, and seems that poor mental health literacy is a major obstacle in this regard. This study aimed to elucidate the concept and provide a better understanding of the main dimensions of mental health literacy in women of reproductive age.
View Article and Find Full Text PDFPublic Health Nurs
January 2025
Department of Medical Humanities and Social Sciences, College of Medicine, Yonsei University, Seoul, South Korea.
Objectives: Develop a primary health care-based nurse-led culturally tailored hypertension self-care intervention for rural residents.
Design: The culturally tailored hypertension self-care intervention was developed using a six-step intervention mapping approach that involved: needs assessment using literature review and interviews; setting program goals using integrated thematic synthesis method; selecting intervention modules through the process dimension of the self-care theory of chronic illness; producing program components and materials by developing intervention modules using the motivational interviewing and behavior change techniques; planning program adoption by encouraging sustainable behavior; and evaluation using the education content validity index in health and the intervention acceptability, appropriateness, and feasibility scale.
Measurements: Education content validity index in health and the intervention acceptability, appropriateness, and feasibility scale.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!