Background: A previous study at our institution noted that only 15% of newly diagnosed patients with oral cancer could identify smoking or alcohol abuse as major risk factors for the development of their cancer. The objective of this study was to determine the effectiveness of a simple educational intervention in 189 consecutively identified patients with head and neck malignancy.
Methods: Patients were interviewed prior to and immediately following reading a written educational pamphlet. The patients were then interviewed 5 weeks later to determine longer-term recall. Recall success was correlated to patient demographic parameters including level of education, occupation, sex, age, and place of residence.
Results: Immediate recall success increased, on average, 27% from preintervention knowledge, with the largest increase for the risk factor of alcohol abuse. Five-week postintervention recall success decreased on average 10.5% for all risk factors with the largest decrease being seen for smokeless tobacco use (12%). The immediate and 5-week recall success increases were both statistically significant when compared to the preintervention recall success (p < .05). Patient education level had the greatest impact on recall success at all time points (ANOVA, p < .001). Long-term recall for patients over the age of 60 was also statistically poorer.
Conclusions: An educational intervention can have significant impact on patient knowledge of cancer risk. More effective educational interventions for poorly educated patients and the elderly may have to be devised to increase intervention success. Whether this knowledge translates into behavior change still needs to be studied.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/hed.20970 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Reducing cheap talk? How monetary incentives affect the accuracy of metamemory judgments.
Mem Cognit
January 2025
Department of Psychology, Technical University of Darmstadt, Darmstadt, Germany.
The accuracy of metacognitive judgments is rarely incentivized in experiments; hence, it depends on the participants' willingness to invest cognitive resources and respond truthfully. According to arguments promoted in economic research that performance cannot reach its full potential without proper motivation, metacognitive abilities might therefore have been underestimated. In two experiments (N = 128 and N = 129), we explored the impact of incentives on the accuracy of judgments of learning (JOLs), memory performance, and cue use in free recall of word lists.
View Article and Find Full Text PDFMultimodal consumer choice prediction using EEG signals and eye tracking.
Front Comput Neurosci
January 2025
Interdisciplinary Research Center for Finance and Digital Economy, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.
Marketing plays a vital role in the success of a business, driving customer engagement, brand recognition, and revenue growth. Neuromarketing adds depth to this by employing insights into consumer behavior through brain activity and emotional responses to create more effective marketing strategies. Electroencephalogram (EEG) has typically been utilized by researchers for neuromarketing, whereas Eye Tracking (ET) has remained unexplored.
View Article and Find Full Text PDFSupplemental Screening With MRI in Women With Dense Breasts: The European Perspective.
J Breast Imaging
January 2025
Department of Radiology, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK.
Breast cancer is the most prevalent cancer in women in Europe, and while all European countries have some form of screening for breast cancer, disparities in organization and implementation exist. Breast density is a well-established risk factor for breast cancer; however, most countries in Europe do not have recommendations in place for notification of breast density or additional supplementary imaging for women with dense breasts. Various supplemental screening modalities have been investigated in Europe, and when comparing modalities, MRI has been shown to be superior in cancer detection rate and in detecting small invasive disease that may impact long-term survival, as demonstrated in the Dense Tissue and Early Breast Neoplasm Screening (DENSE) trial in the Netherlands.
View Article and Find Full Text PDFEnhancement of security, personalization, and safety in advanced transportation systems depends on driver identification. In this context, this work suggests a new method to find drivers by means of a Random Forest model optimized using the osprey optimization algorithm (OOA) for feature selection and the salp swarm optimization (SSO) for hyperparameter tuning based on driving behavior. The proposed model achieves an accuracy of 92%, a precision of 91%, a recall of 93%, and an F1-score of 92%, significantly outperforming traditional machine learning models such as XGBoost, CatBoost, and Support Vector Machines.
View Article and Find Full Text PDFReal-time control of radiofrequency ablation using three-dimensional ultrasound echo decorrelation imaging in normal and diseasedhuman liver.
Phys Med Biol
January 2025
Department of Biomedical Engineering, University of Cincinnati, UC Bioscience Center, 3159 Eden Ave., Cincinnati, Ohio, 45221, UNITED STATES.
Ultrasound echo decorrelation imaging can successfully monitor and control thermal ablation of animal liver and tumor tissue ex vivo and in vivo. However, normal and diseased human liver has substantially different physical properties that affect echo decorrelation. Here, effects of human liver tissue condition on ablation guidance by three-dimensional echo decorrelation imaging are elucidated in experiments testing closed-loop control of radiofrequency ablation (RFA) in normal and diseased human liver tissue ex vivo.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!