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. Our findings show that moral judgments are indeed a significant predictor for a respondent's status as medical students. This result, albeit with limitations, bears multiple practical implications, from developing empirically informed medical ethics courses in medical schools to evidence-based policy designs which consider factors such as morality alongside financial outcomes and incentives.

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. Here, we propose several methodological improvements to this already solid methodology. We replace the Aggregate Index calculated as a simple average with a measure generated with principal component analysis, and subsequently with a formative partial least squares dimension-reduction procedure. We explore variations of these procedures, according to the rent-seeking nature of the organizations that make up our groupings. We illustrate our methodology by using US county data. We find that, even when holding the normative concept and the data constant we generate alternative metrics with different characteristics. This result has far-reaching implications for both the theory of social capital and the public policies that rely on the evidence surrounding social capital. There appears to be an inherent arbitrariness to measuring complex social phenomena using a reductionist analytical framework. At the same time, there are limits to evidence-based policy interventions. These limits need to be mitigated with a balanced approach relying on both analytical tools and qualitative evaluations.

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. The ML model was trained to predict 3-year mortality and prediction performance was compared with that of GRACE, ACEF, SYNTAX II 2020 and TIMI scores. RESULTS: A total number of 2242 patients were included with 12.1% and 14.9% 3-year cardiovascular and -all-cause mortality, respectively. The area under receiver operator characteristic curve for the ML model was higher than that of GRACE, ACEF, SYNTAX II and TIMI scores: 0.886 vs. 0.797, 0.792, 0.757 and 0.696 for 3-year cardiovascular- and 0.854 vs. 0.762, 0.764, 0.730 and 0.691 for 3-year all-cause mortality prediction, respectively (all p ≤ 0.001). Similarly, the area under precision-recall curve for the ML model was higher than that of GRACE, ACEF, SYNTAX II and TIMI scores: 0.729 vs. 0.474, 0.469, 0.365 and 0.389 for 3-year cardiovascular- and 0.718 vs. 0.483, 0.466, 0.388 and 0.395 for 3-year all-cause mortality prediction, respectively (all p ≤ 0.001). CONCLUSION: The ML model was superior in predicting 3-year cardiovascular- and all-cause mortality when compared to clinical scores in a prospective PCI registry.

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: ß = 0.218, p < 0.001; descriptive norms: ß = 0.192, p < 0.001). Among the affective and cognitive attitudes, only the latter is statistically significant in predicting the intention (ß = 0.088, p = 0.020), while perceived behavioral control is not significantly associated with intention toward fast-food consumption. We explain how our results can help policymakers to design better interventions on public health concerns about fast-food consumption and population obesity, especially children obesity.

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. Our results indicate that all the theoretical dimensions of YPAP (predisposing, enabling and reinforcing) have a positive and significant impact on physical activity, with two mediating mechanisms expressed as predisposing factors: able and worth. Unlike previous research, we used second-order latent constructs, unveiling a particular structure for the enabling dimension that only includes sport competence, fitness and skills, but not the environmental factors.

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. We found that satisfaction with services is predicted by pharmacists' attitude (ß = 631, p < 0.001), low waiting time (ß = 0.180, p < 0.001), affordable cost of the drugs (ß = 0.09, p = 0.009), and drug availability (ß = 0.157, p < 0.001). At the same time, trust in the information received is driven by pharmacists' attention (ß = 0.610, p < 0.001), whether the patient received precautionary information (ß = 0.425, p < 0.001), low waiting time (ß = 0.287, p < 0.001), and whether the respondent is a chronic patient or not (non-chronic patients express more trust, ß = 0.328, p = 0.04). Our study expands the existing paradigm that sees trust as a simple predictor of satisfaction by showing that trust and satisfaction are predicted by different variables, and thus they should be addressed using different strategies. In fact, we found that they share only one predictor-waiting time, highly significant in both cases. Our findings show that, without prioritizing trust in the information received in community pharmacies to reduce information asymmetry between patient and pharmacist, the focus only on patient satisfaction may lead to a scenario in which community pharmacies will end up to be better integrated in the business sector and not in the public health system.

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. This paper identifies nonlinear relationships among self-medication practices and its predictors and discusses how our results can help policymakers calibrate interventions with better accuracy.

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. An online questionnaire provided a total of (N = 1863) valid answers from both countries. First, to understand individual difference patterns within and across populations, we fit a General Linear Model in which endorsement was predicted by behavior, country, their interaction, and a random effect for participants. Second, we assess the effect of demographics and health beliefs on prevention behaviors by fitting a multi-group path model across countries, in which each behavior was predicted by the observed health belief variables and demographics. Health beliefs showed stronger relationships with the recommended behaviors than demographics. Confirming previously reported relationships, self-efficacy, perceived severity, and perceived benefits were consistently related to the greater adoption of individual behaviors, whereas greater perceived barriers were related to lower adoption of health behaviors. However, we also point to important location specific effects that suggest that local norms shape protective behavior in highly contextualized ways.

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. Exploratory and confirmatory factor analyses were carried out to extract the latent constructs of health professionals' perceived effects of hospital accreditation. The Wilcoxon rank-sum test and Kruskal-Wallis test were used to identify correlations between patients' sociodemographic characteristics and their behavioral intentions when confronted with low-quality services. We found that health professionals believe that hospital accreditation plays a positive role in improving patient satisfaction, institutional reputation, and healthcare services quality. However, we found a lack of awareness of hospital accreditation status among patients, indicating the existence of the perception gap of the accreditation effectiveness as a market signal. Our results suggest that the effect of interpersonal trust in current service providers may distract patients from the accreditation status. Our study provides important practical implications for Romanian hospitals on enhancing the quality of accreditation signal and suggests practical interventions.

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

Introduction: 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. Method: A questionnaire assessing patients' perception of the quality of health services was administered to a country-representative sample of 1500 Romanian patients. Using a partial least squares-path modeling approach (PLS-PM), with cross-sectional data, we developed a variance-based structural model, emphasizing the mediating role of trust and satisfaction with various categories of health services. Results: We confirmed the mediating role of trust in shaping the relationship between the procedural accuracy of health professionals, along with the perceived intensity of their interaction with patients, and patients' experienced quality of the health services. We confirmed the mediating role of satisfaction by the categories of services in the relationship between waiting time on the premises, attention received, and the perceived reliability of the information received, as predictors, and the experienced quality of the health services. In addition, indirect assessment of patients' satisfaction is a good predictor for direct assessment, thereby affirming the idea that the results of the two types of evaluations converge. Discussions: One of the most efficient solutions to increase both patients' satisfaction and their compliance is to empower the communication dimension between patients and health practitioners. Given the non-linear relationships among variables, we advocate that, unless the nature of the relationships between satisfaction and its predictors is understood, practical interventions could fail. The most relevant variable for intervention is the degree of attention patients perceive they received. We suggest three methods to turn waiting time into attention given to patients.