Journal de recherche et de développement en éducation à la santé

Mobile health or mHealth, interventions involve the use of mobile devices, such as smartphones and tablets, to deliver health education messages and promote healthy behaviours. mHealth interventions have the potential to reach large populations, including underserved and hard-to-reach populations, and can be tailored to meet individual needs and preferences. Examples of mHealth interventions include text messaging campaigns, mobile apps, and mobile websites. Health education is a critical component of public health efforts to improve health outcomes and reduce the burden of chronic diseases. In recent years, there has been an increasing interest in using innovative approaches and technologies to deliver health education interventions. These approaches have the potential to enhance the effectiveness, efficiency, and scalability of health education interventions. This review provides an overview of emerging trends and technologies in health education and their potential impact on promoting healthy behaviours and improving health outcomes.

Health education interventions are essential in promoting healthy lifestyle behaviours among individuals, groups, and communities. Health education interventions are a systematic process of empowering individuals and communities to take control of their health by providing them with the necessary information, skills, and motivation to make informed decisions about their health behaviors. Healthy lifestyle behaviors such as physical activity, healthy eating and avoiding risky behaviors can have a significant impact on an individual's health outcomes. In this essay, we will explore the impact of health education interventions on promoting healthy lifestyle behaviors and discuss some of the research evidence that supports their effectiveness.

When evaluating a patient's overall health and planning their care and treatment, mental health is frequently overlooked. The point of this study was to survey nervousness, melancholy, sadness, personal satisfaction, and the impression of vilification in a huge companion of patients with persistent liver sickness of various etiology and seriousness, as well as to distinguish indicators related with psychological wellness problems. A survey utilizing the Beck Anxiety Inventory, the Beck Hopelessness Scale, and the Major Depression Inventory was completed by 340 patients. The Chronic Liver Disease Questionnaire and the European Quality-of-Life visual analogue scale were used to assess quality of life. To evaluate belittling, approved inquiries from the Danish Cross country Study of Patient Encounters were utilized. Univariable and multivariable logistic regression analyses were used to examine predictors of anxiety, hopelessness, and depression. 15% of patients experienced moderate to severe anxiety, 3% experienced moderate to pronounced hopelessness, and 8% experienced moderate to severe depression. Patients with cirrhosis had the highest prevalence of all three and a lower quality of life. More patients with cirrhosis than with liver disease without cirrhosis perceived stigmatization, which affected their self-perception. Additionally, more than one third of the patients chose not to tell others about their liver disease. The findings emphasize the need for increased awareness of mental health issues and the prevention of liver disease patients from being discriminated against.

Life-quality tests are the reason for surveying the state of oncological patients. They make it possible to get valuable information from patients about not only the symptoms of the disease and the side effects of treatment, but also how their mental, social, and spiritual well-being is being assessed. The well-being of patients, their families, and caregivers, as well as satisfaction with interdisciplinary and holistic oncological care, all benefit from taking into account the patient's assessment of their quality of life as the disease progresses.For the purpose of evaluating the quality of life of cancer patients participating in the study, a population-based, multi-area cross-sectional study was carried out. The study used a clinical interview as its method. Quality of Life Questionnaire, the Carnovsky Performance Status, our own symptom checklist, the Edmonton Symptom Assessment, and the Visual Analogue Scale were used to assess quality of life. Results: After applying the Karnofsky fitness index to the subjective fitness assessment, it was demonstrated that of patients reported being able to engage in routine physical activity. Patients had the most severe issues with self-care in the profile, quality of life, and psychometric properties assessment, percent and feeling restless and discouraged Patients' quality of life is unquestionably negatively impacted by cancer, which is influenced by the course of the disease, the treatment they receive, and how long the condition lasts.