The Role of ChatGPT in the Advancement of Diagnosis, Management, and Prognosis of Cardiovascular and Cerebrovascular Disease.

Cardiovascular and cerebrovascular disease incidence has risen mainly due to poor control of preventable risk factors and still constitutes a significant financial and health burden worldwide. ChatGPT is an artificial intelligence language-based model developed by OpenAI. Due to the model's unique cognitive capabilities beyond data processing and the production of high-quality text, there has been a surge of research interest concerning its role in the scientific community and contemporary clinical practice. To fully exploit ChatGPT's potential benefits and reduce its possible misuse, extreme caution must be taken to ensure its implications ethically and equitably. In this narrative review, we explore the language model's possible applications and limitations while emphasizing its potential value for diagnosing, managing, and prognosis of cardiovascular and cerebrovascular disease.

Anxiety, Distress, and Depression in Elderly Rheumatoid Arthritis Patients.

Rheumatoid arthritis (RA) and affective disorders (anxiety/depression) constitute important pathologies in the elderly population, and their coexistence creates synergistically increased problems in functional ability and quality of life of the patients. Purpose: Evaluation of anxiety, distress, and depression in elderly (≥65 years old) patients with RA. Patients ­ methods: 114 patients from the cities of Patras, Arta and Ioannina (all located in Western Greece) were included. Demographics and medical information regarding RA were recorded, including disease duration, medication, previous treatments, disease activity measures, comorbidities etc. Patients answered the State-Trait Anxiety Inventory (STAI), General Health Questionnaire-28 (GHQ28) and Health Assessment Questionnaire -Disability Index (HAQ-DI) questionnaires, for evaluation of anxiety, general health and functional ability, respectively. Statistical analysis was made by using STATA. Results: 88 women (78.07%) and 25 men (21.93%) with median age 70 years and median disease duration 10 years were studied. Female patients, with longer disease duration and higher disease activity, had statistically significant higher levels of anxiety, worse general health and decreased functional ability. A strongly significant association was found between the levels of anxiety and distress, with disease activity and functional inability. Conclusions: Levels of anxiety and distress are strongly associated with disease activity and functional inability in elderly patients with RA. Women with longer disease have higher levels of anxiety and distress. Controlling disease activity is of upmost importance for improvement of anxiety and distress and functional ability. Larger studies are needed for evaluation of anxiety and distress in elderly patients with RA.

Citizens' preferences on healthcare expenditure allocation: evidence from Greece.

BACKGROUND OF CONTEXT: Priority setting and resource allocation across various healthcare functions are critical issues in health policy and strategic decision making. As health resources are limited while there are so many health challenges to resolve, consumers and payers have to make difficult decisions about expenditure allocation. OBJECTIVE: Our research focus on the (dis)agreement between citizens' preferences and actual public health expenditure across broad healthcare functions, on whether this (dis)agreement is persistent, on whether various demographic factors amplify this (dis)agreement and to derive useful implications for public health policies. SETTING AND PARTICIPANTS: Using survey data of 3029 citizens in Greece for the year 2012 and employing logit estimation techniques, we analysed the effect of demographic and other factors in shaping citizens' (dis)agreement with public health expenditure allocation. RESULTS: Our results demonstrate the important role of income, family members and residence in shaping citizens' preferences regarding health expenditure priorities in almost all healthcare functions, while other demographic factors such as job, age, gender and marital status do partly associate and play a significant role. CONCLUSIONS: Government should encourage the citizens' participation in the decision-making process in order to eliminate the unveiled and significant disagreement between citizens' preferences and actual public health expenditure across all healthcare functions.

eHealth Literacy: In the Quest of the Contributing Factors.

BACKGROUND: Understanding the factors that influence eHealth in a country is particularly important for health policy decision makers and the health care market, as it provides critical information to develop targeted and tailored interventions for relevant patient-consumer segments, and further suggests appropriate strategies for training the health illiterate part of the population. OBJECTIVE: The objective of the study is to assess the eHealth literacy level of Greek citizens, using the eHealth Literacy Scale (eHEALS), and further explore the factors that shape it and are associated with it. METHODS: This empirical study relies on a unique sample of 1064 citizens in Greece in the year 2013. The participants were requested to answer various questions about their ability to solve health-related issues using the Internet, and to provide information about their demographic characteristics and life-style habits. Ordered logit models were used to describe a certain citizen's likelihood of being eHealth literate. RESULTS: The demographic factors show that the probability of an individual being eHealth literate decreases by 23% (P=.001) when the individual ages and increases by 53% (P<.001) when he or she acquires higher level of education. Among the life-style variables, physical exercise appears to be strongly and positively associated with the level of eHealth literacy (P=.001). Additionally, other types of technology literacies, such as computer literacy and information literacy, further enhance the eHealth performance of citizens and have the greatest impact among all factors. CONCLUSIONS: The factors influencing eHealth literacy are complex and interdependent. However, the Internet is a disruptive factor in the relationship between health provider and health consumer. Further research is needed to examine how several factors associate with eHealth literacy, since, the latter is not only related to health care outcomes but also can be a tool for disseminating social inequalities.

Patient satisfaction with the healthcare system: Assessing the impact of socio-economic and healthcare provision factors.

BACKGROUND: Patient satisfaction is an important measure of healthcare quality as it offers information on the provider's success at meeting clients' expectations and is a key determinant of patients' perspective behavioral intention. The aim of this paper is first to assess the degree of patient satisfaction, and second, to study the relationship between patient satisfaction of healthcare system and a set of socio-economic and healthcare provision indicators. METHODS: This empirical analysis covers 31 countries for the years 2007, 2008, 2009 and 2012. The dependent variable, the satisfaction index, is defined as the patient satisfaction of their country's health system. We first construct an index of patient satisfaction and then, at a second stage, this index is related to socio-economic and healthcare provision variables. RESULTS: Our findings support that there is a strong positive association between patient satisfaction level and healthcare provision indicators, such as nurses and physicians per 100,000 habitants, with the latter being the most important contributor, and a negative association between patient satisfaction level and number of hospital beds. Among the socio-economic variables, public health expenditures greatly shape and positive relate to patient satisfaction, while private spending on health relates negatively. Finally, the elder a patient is, the more satisfied with a country's healthcare system appears to be. CONCLUSIONS: We conclude that there is a strong positive association between patient satisfaction and public health expenditures, number of physicians and nurses, and the age of the patient, while there is a negative evidence for private health spending and number of hospital beds.