Predictors of high trust and the role of confidence levels in seeking cancer-related information

Cancer research in Lebanon: Scope of the most recent publications of an academic institution (Review)

Cancer may be considered one of the most interesting areas of study, and although oncology research has grown markedly over the last decade, there is as yet no known cure for cancer. The objective of the present review is to examine various approaches to cancer research from a single institution, summarize their key conclusions and offer recommendations for future evaluations. The review examined 72 cancer-associated studies that were published within six years from 2017 to 2022. Published works in the subject fields of 'cancer' or 'oncology' and 'research' that were indexed in Scopus and Web of Science were retrieved and sorted according to article title, author names, author count, citation count and key words. After screening, a total of 28 in vitro/animal studies and 46 patient-associated published studies were obtained. A large proportion of these studies comprised literature reviews (20/72), while 20 studies were observational in nature. The 72 publications included 23 in which various types of cancer were examined, while the remaining studies focused on specific types of cancer, including lung, breast, colon and brain cancer. These studies aimed to investigate the incidence, prevalence, treatment and prevention mechanisms associated with cancer. Despite the existence of extensive cancer research, scientists seldom contemplate an ultimate cure for cancer. However, it is crucial to continuously pursue research on cancer prevention and treatment in order to enhance the effectiveness and minimize potential side effects of cancer therapy.

Health information-seeking experience in people with head and neck neoplasms undergoing treatment: a qualitative study

PURPOSE

To describe the health information-seeking experience and its influencing factors of people with head and neck neoplasms undergoing treatment.

METHODS

This was a descriptive phenomenology study. Participants were recruited by purposive sampling. The semistructured interviews and all observation results were recorded. The data were analysed using Colaizzi's method.

RESULTS

Fourteen participants were selected. We identified four themes that illustrate factors that influence the health information-seeking behaviour of participants: patients' awareness of health information needs, patients' competence, doctor-patient communication, and online advertising interference. We also determined the value of different types of information and patients' information needs and sources.

CONCLUSION

These findings can help professionals understand patients' behaviours and think about how to deliver practical information support in a network environment to guide patients in continuous information seeking while taking specific factors into account.

Trusting information on cancer varies by source of information and political viewpoint

PURPOSE

This study investigated how trusting information on cancer varies by the source of information and political viewpoint.

METHODS

This study used cross-sectional survey data from the 2020 Health Information National Trends Survey (HINTS). The study comprised a sample of 2949 adults 18 years and older. The outcome variable was measured by assessing respondents' trust in cancer-related information from various sources, including religious organizations and leaders, government health agencies, charitable organizations, family or friends, and doctors. Political viewpoint was measured as liberal, moderate, and conservative. Multivariate linear probability models were estimated and adjusted for individual-level characteristics.

RESULTS

Multivariate analysis found that conservatives (73%, 95% CI = 68-78%) were significantly less likely to trust information on cancer from government health agencies compared to liberals (84%, 95% CI = 80-88%). There was no statistically significant difference in trusting government health agencies between liberals and moderates (80%, 95% CI = 76-84%). Both moderates (27%, 95% CI = 21-34%) and conservatives (34%, 95% CI = 29-39%) were more likely to trust information on cancer from religious organizations and leaders compared to liberals (19%, 95% CI = 13-24%). The relationship between political viewpoint and trust of doctors, family or friends, and charitable organizations were not statistically significant.

CONCLUSION

Compared to liberals, conservatives are more likely to trust information on cancer from religious organizations and leaders and less likely to trust government health agencies when adjusting for other covariates. This finding emphasizes the role of political viewpoint in shaping individuals' perceptions of information sources and cancer-related information.

Identifying health research in the era of COVID-19: A scoping review

Background

Health improvements are considered one of the most important fields of research. Since the coronavirus disease 2019 was declared a pandemic, it might have impacted clinical and public health research in various forms.

Objectives

The goal of this study is to explore health research approaches in the era of coronavirus disease 2019.

Methods

In this scoping review, we reviewed published medical full-text studies and identified potential areas of interest of health research in the era the coronavirus disease 2019 pandemic during the last 3 years within a higher educational setting. A bibliometric analysis was used to compare among published works.

Results

Among the 93 studies that met the inclusion criteria, most focused on mental health (n = 23; 24.7%). Twenty-one publications targeted coronavirus disease 2019 and its consequences on general health. Other studies have described hemato-oncological, cardiovascular, respiratory, and endocrinological diseases. 42 studies were cross-sectional or cohort studies and most of them published in Q1 journals. Almost half of them belonged to the Faculty of Medicine (49.5%) followed by the School of Arts, Sciences, and Psychology (26.9%).

Conclusions

Health research has been demonstrated to be important, at all times, especially during crises. Therefore, researchers need to invest more efforts into seeking new medical updates in various health-related fields, regardless of their correlation with coronavirus disease 2019.

An efficient computer vision-based approach for acute lymphoblastic leukemia prediction

Leukemia (blood cancer) diseases arise when the number of White blood cells (WBCs) is imbalanced in the human body. When the bone marrow produces many immature WBCs that kill healthy cells, acute lymphocytic leukemia (ALL) impacts people of all ages. Thus, timely predicting this disease can increase the chance of survival, and the patient can get his therapy early. Manual prediction is very expensive and time-consuming. Therefore, automated prediction techniques are essential. In this research, we propose an ensemble automated prediction approach that uses four machine learning algorithms K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Random Forest (RF), and Naive Bayes (NB). The C-NMC leukemia dataset is used from the Kaggle repository to predict leukemia. Dataset is divided into two classes cancer and healthy cells. We perform data preprocessing steps, such as the first images being cropped using minimum and maximum points. Feature extraction is performed to extract the feature using pre-trained Convolutional Neural Network-based Deep Neural Network (DNN) architectures (VGG19, ResNet50, or ResNet101). Data scaling is performed by using the MinMaxScaler normalization technique. Analysis of Variance (ANOVA), Recursive Feature Elimination (RFE), and Random Forest (RF) as feature Selection techniques. Classification machine learning algorithms and ensemble voting are applied to selected features. Results reveal that SVM with 90.0% accuracy outperforms compared to other algorithms.