Cancer Patients Numeracy and Preferences for Information Presentation-a Survey Among German Cancer Patients.
Bijan ZomorodbakhschChristian KeinkiEckart SeilacherJutta Huebnernull nullPublished in: Journal of cancer education : the official journal of the American Association for Cancer Education (2020)
Numeracy is highly relevant for therapy safety and effective self-management. Worse numeracy leads to poor health outcome. Most medical information is expressed in numbers. Considering the complexity of decisions, more information on the patient's ability to understand information is needed. We used a standardized questionnaire. Content was self-perception of numeracy, preferences regarding decision-making with respect to medical issues, and preferred content of information from four possible answers on side effect of cancer therapies (insomnia) within two scenarios. Overall, 301 participants answered the questionnaire. Presentation of facts in numbers was rated as helpful or very helpful (59.4%). Higher numeracy was associated with higher appreciation for presentation in numbers (p = 0.002). Although participants indicated presentation of facts in numbers as helpful in general, the favored answer in two concrete scenarios was verbal and descriptive instead of numerical. Numeracy is highly relevant for therapy safety and effective self-management. Health professionals need more knowledge about patient's ability and preferences with respect to presentation of health information. An individualized patient communication might be the best strategy to discuss treatment plans. We need to understand in which situations patients benefit from numerical presentation and how managing numerical data might influence decision processes.
Keyphrases
- health information
- case report
- decision making
- healthcare
- social media
- climate change
- end stage renal disease
- cross sectional
- public health
- mental health
- chronic kidney disease
- ejection fraction
- squamous cell carcinoma
- machine learning
- prognostic factors
- big data
- depressive symptoms
- psychometric properties
- physical activity
- peritoneal dialysis
- bone marrow
- smoking cessation