What matters most to the perception of community resilience in Romania?

We aim to measure and explain the perception of community resilience in Romania. We use survey data from a country-representative sample of 1500 respondents. We rely on factor-based partial least squares path modeling to measure five reflective latent constructs from a CCRAM-type questionnaire.

Do Moral Judgments in Moral Dilemmas Make One More Inclined to Choose a Medical Degree?

The role of moral intuitions and moral judgments has become increasingly prominent in educational and academic choices. The present research aims to examine if the moral judgments elicited in sacrificial trolley dilemmas have a distinct pattern for the decisions made by junior medical students, in comparison to those of senior high school students. We work with this sample because it represents the population out of which medical students are recruited in the case of Bucharest, Romania.

The Measurement of Social Capital in America: A Reassessment.

One of the more successful approaches to the measurement of social capital across US counties relies on a two-step algorithm procedure. In the first step, ten variables accounting for the per capita number of various types of voluntary organizations are averaged to generate an Aggregate Index. In the second step, the Aggregate Index and three other factors are used to extract an overall Social Capital Index.

Prediction of 3-year all-cause and cardiovascular cause mortality in a prospective percutaneous coronary intervention registry: Machine learning model outperforms conventional clinical risk scores.

Background And Aims: Machine learning (ML) models have been proposed as a prognostic clinical tool and superiority over clinical risk scores is yet to be established. Our aim was to analyse the performance of predicting 3-year all-cause- and cardiovascular cause mortality using ML techniques and compare it with clinical scores in a percutaneous coronary intervention (PCI) population.

Methods: An all-comers patient population treated by PCI in a tertiary cardiovascular centre that have been included prospectively in the local registry between January 2016-December 2017 was analysed.

Testing the Effectiveness of the Health Belief Model in Predicting Preventive Behavior During the COVID-19 Pandemic: The Case of Romania and Italy.

We use a cultural psychology approach to examine the relevance of the Health Belief Model (HBM) for predicting a variety of behaviors that had been recommended by health officials during the initial stages of the COVID-19 lockdown for containing the spread of the virus and not overburdening the health system in Europe. Our study is grounded in the assumption that health behavior is activated based on locally relevant perceptions of threats, susceptibility and benefits in engaging in protective behavior, which requires careful attention to how these perceptions might be structured and activated. We assess the validity of the HBM in two European countries that have been relatively understudied, using simultaneous measurements during acute periods of infection in Romania and Italy.

Determinants of Fast-Food Consumption in Romania: An Application of the Theory of Planned Behavior.

This study explores drivers of fast-food consumption in Romania using the Theory of Planned Behavior. We analyze 532 responses to an online survey and use partial least squares path modeling to estimate the relationships between the intention to consume fast food and its possible determinants. Our results show that the most significant predictor is the subjective norms (injunctive norms: β = 0.

Testing the Youth Physical Activity Promotion Model during the COVID-19 Pandemic, with Partial Least Squares Second-Order Latent Constructs.

We tested the Youth Physical Activity Promotion (YPAP) framework on Romanian students in order to identify actionable determinants to support participation in physical activity. Our sample consisted of 665 responses to an online survey, with participants aged 18-23 (mean = 19 years); 70% were women. We used the partial least squares algorithm to estimate the relationships between students' behavior and possible predictors during the COVID-19 pandemic.

Determinants of Satisfaction with Services, and Trust in the Information Received in Community Pharmacies: A Comparative Analysis to Foster Pharmaceutical Care Adoption.

Patient's satisfaction with community pharmacy services, and patients' trust in the information received in community pharmacies are important drivers of pharmaceutical care adoption. An online questionnaire assessing patient satisfaction with the services received in pharmacies and trust in the pharmacist's advice, along with their determinants, was administered to 343 Romanian chronic and non-chronic patients. Using various statistical tests, exploratory factor analysis, and robust regression we explored determinants of satisfaction and trust.

Information or Habit: What Health Policy Makers Should Know about the Drivers of Self-Medication among Romanians.

We use the Knowledge, Perceptions and Practices framework to analyze determinants of three types of self-medication practices in Romania: (1) self-medication in the case of cold/flu/viral infections; (2) taking non-prescribed medicine in general; and (3) self-medication based on recommendations by others. We analyzed 706 responses to an online survey and used a factor-based Partial Least Squares algorithm (PLSF) to estimate the relationships between each type of self-medication and possible predictors. Our results show that self-medication is strongly predicted by non-cognitive behavioral factors such as habits and similarity of symptoms, while cognitive determinants such as knowledge and understanding of potential risks are not significantly associated with self-medication behaviors.

Testing the Strength of Hospital Accreditation as a Signal of the Quality of Care in Romania: Do Patients' and Health Professionals' Perceptions Align?

Hospital accreditation, as a quality signal, is gaining its popularity among low- and middle-income countries, such as Romania, despite its costly nature. Nevertheless, its effectiveness as a quality signal in driving patients' choice of hospital services remains unclear. In this study, we intend to empirically explore the perceptions of both healthcare professionals and patients toward Romanian hospital accreditation and identify perception gaps between the two parties.

Combining Direct and Indirect Measurements to Assess Patients' Satisfaction with the Quality of Public Health Services in Romania: Uncovering Structural Mechanisms and Their Implications.

Patients' satisfaction was extensively researched over the last decades, given its role in building loyalty, compliance to treatment, prevention, and eventually higher levels of wellbeing and improved health status. Patients' feedback on the perceived quality of health services can be incorporated into practice; therefore, understanding factors and mechanisms responsible for patients' satisfaction allows providers to tailor targeted interventions. A questionnaire assessing patients' perception of the quality of health services was administered to a country-representative sample of 1500 Romanian patients.