Background: Despite the fact that for over ten years, Lithuanian consumers have been able to report adverse drug reactions (ADR) directly to the competent authority, reporting rates remain low. A comprehensive understanding of consumer perceptions and experiences regarding ADRs is needed to ascertain further factors impacting their engagement in ADR reporting. This study aimed to assess consumer knowledge of, attitude toward, and practice of reporting ADRs. Methods: A questionnaire-guided cross-sectional survey among 404 consumers between October 2021 and June 2022 was conducted. The semi-structured questionnaire comprised open-ended and closed-ended questions to explore the sociodemographic characteristics and general knowledge of ADRs and pharmacovigilance. Other question items evaluated attitudes toward ADR reporting and ADR reporting practice. The data were summarised using descriptive statistics, while the chi-square test was used to assess categorical variables at p < 0.05. The overall percent score in the knowledge and attitude domains was divided into groups of “poor”, “moderate”, and “good” knowledge, as well as “positive” and “negative” attitudes. Results: While having a generally poor understanding, this study demonstrates that Lithuanian consumers have a favourable attitude toward pharmacovigilance, particularly regarding issues involving the requirement for reporting. The data also revealed the justifications for reporting and not reporting ADRs. Conclusions: The current study provided the first understanding of consumer awareness and ADR reporting intentions, which can help to develop educational campaigns and interventions addressing pharmacovigilance and ADR reporting.

Background: The clinical environment plays a crucial role in patient safety, as it encompasses the physical, organizational, and cultural aspects of healthcare delivery. Adverse events, such as active errors, can often be attributed to systemic issues within the clinical environment. Addressing and improving environmental factors is essential for minimizing adverse events and enhancing overall patient care quality. Methods: A descriptive, cross-sectional design was applied. The study utilized two questionnaires: the Reporting of Clinical Adverse Events Scale (RoCAES) and the Revised Professional Practice Environment (RPPE) scale. A total of 1388 questionnaires were fully filled out, with a response rate of 71 percent. Results: Nurses who expressed higher levels of satisfaction with various aspects of the clinical environment were more inclined to indicate their intention to report adverse events in the future. These positive relationships suggest that a contented clinical environment fosters a greater willingness among nurses to report adverse event occurrences. Conclusion: The findings of our study support the evidence that demonstrated that the clinical environment plays a significant role in influencing the reporting of adverse events in healthcare settings. It significantly influences nurses’ attitudes, quality of care, and adverse event reporting rate.

Crises in the medicine sector such as the COVID-19 pandemic encourage the search for effective solutions for the provision of health care services, when conventional face-to-face consultations may be difficult to deliver effectively due to contact restrictions. The main objective of this study was to investigate consultation management provided by physicians during the COVID-19 pandemic in Lithuania. The dependence of diagnostic testing and vaccination of patients on the socio-demographic characteristics of physicians was also assessed. An anonymous survey was carried out during the COVID-19 pandemic, between 21 June 2021 and 17 September 2021, involving 191 physicians (9% of the total population) working in family physician teams in Lithuania. Thirty-nine Lithuanian Primary Health Care Institutions (PHCIs) were selected for this study, of which 11 were public and 28 were private. Private and public PHCIs employed 31% and 63% of the respondents, respectively, and 6% of respondents worked at both types of institutions. Concerning telemedicine, the physician-respondents frequently provided consultations over the telephone (79.6%) and in-person (63.9%), but less so via the Internet, with the latter option never being used at all by 57.1% of the respondents. Whilst telephone consultations were frequently provided by Lithuanian physicians, only half of the respondents chose to provide services over the Internet. Private, smaller, and rural-based PHCIs should more actively offer viral diagnostics and vaccination services.

Background: Attitudes towards interprofessional education are key factors that shape students’ behaviour during interprofessional practice. An interprofessional approach to training and practice is “unique”, important, and challenging. Interprofessional education allows for a deeper understanding and analysis of problems from perspectives different to those of “us”. The aim of the study was to assess medical students’ attitudes toward the nurse’s role during their interprofessional clinical practice. Methods: This study used a descriptive, correlational design. Results: Lithuanian medical students were statistically significantly more likely to think that the role of a nurse was clear and transparent to other professionals and that nurses exuded a high degree of professionalism, sought a high degree of involvement with the patient, and built deep relationships with the patients. Foreign medical students were statistically significantly more likely to believe that nurses worked more effectively alone than in a team and that they worked with the patients within their own professional field of knowledge rather than referring patients to other professionals. Conclusions: After 6 months of interprofessional training with nurses in the hospital, medical students gain a more clear professional picture of the role of the nurse.

Background: Allergic contact dermatitis (ACD) is a common inflammatory skin disease and patch testing (PT) remains the gold standard for its diagnosis; however, PT interpretation is time-consuming and prone to inter-observer variability. Growing advances in digital imaging and artificial intelligence (AI) have encouraged the development of automated PT evaluation systems. This review aimed to summarize the use of deep learning networks (DNNs) and image-preprocessing techniques for PT classification. Methods: A literature review was conducted to identify original research published between 2020 and 2025 that applied deep learning algorithms to PT image analysis. Included studies were assessed with respect to model architecture, dataset characteristics, preprocessing strategies, and diagnostic performance. Results: Six original studies employing deep learning for PT image classification met the inclusion criteria. They employed a range of architectures, including YOLOv5x, EfficientNetB0, Xception, and custom CNN models. Reported diagnostic performance varied, with accuracy values ranging from 90% to 99.5%, F1-scores from 0.37 to 0.98, and AUROC values up to 0.94. Despite promising results, models remain unreliable for ICDRG grading, especially for severe reactions, and methodological variability in dataset composition, imaging conditions, preprocessing pipelines, and classification tasks limits comparability across studies. Conclusions: Deep learning shows promise for automated PT interpretation, but further standardized and multicenter studies with detailed preprocessing protocols and comprehensive ICDRG grading are required for clinical implementation.

Background and Objectives: To our knowledge, this is the first case–control study conducted in the Baltic countries that identified CM risk factors focusing on the investigated subjects’ phenotypic traits, severe sunburns, sunscreen and tanning bed use. Materials and Methods: This study analyses 180 subjects with CM (case group) and 182 randomly selected controls. All participants completed surveys about sun exposure habits and skin phototype (I–IV) according to the Fitzpatrick scale. Skin, eye, and hair colour, number of freckles, and melanocytic nevi greater than 2 mm in diameter (MN > 2 mm) on sites with maximal, intermittent, and minimal sun exposure were examined. Results: We determined five risk factors that significantly increased the odds ratio of CM (OR; 95% confidence interval): tanning bed use compared to non-use (6.46; 1.89–22.96), lack of sunscreen use compared to regular use (7.41; 2.88–19.09), and fair skin compared to medium and olive skin (2.06; 1.03–4.09). The probability of CM also increased with each instance of severe sunburn (2.57; 1.96–3.38) and with each additional MN > 2 mm in sun-exposed areas (1.05; 1.03–1.07). Conclusions: The results of this case–control study offer novel insights into modifiable risk factors for CM, highlighting potential targets for primary prevention strategies in the Baltic countries’ population, with dominant fair phenotypic traits of skin, eye, and hair colour.