Factors Influencing Use of Medicinal Herbs.

In countries with a long tradition of folk herbal medicine that is not integrated into the health system, consumer interest in medicinal herbs has increased. Considering the lack of knowledge about the factors influencing the use of medicinal herbs, the aim of this study was to identify the most important factors of herbal use in Slovenia. Factors were assessed in June 2023 using a nationwide sample (N = 508). Results show that almost half of the respondents are not familiar with medicinal herbs, however, 86% use them at least a few times a year. The "familiarity with medicinal herbs" had the strongest direct effect on the use of medicinal herbs, followed by the "social impact of the herbalist" and the "perceived usefulness of medicinal herbs." There is a need to create a new approach to integrative medicine policy and the use of medicinal herbs in Slovenia by developing educational programs, training professionals, establishing guidelines for the safe and effective use of herbs, and advocating for reimbursement by health insurance companies.

Influence of Sociodemographic, Organizational, and Social Factors on Turnover Consideration Among Eldercare Workers: A Quantitative Survey.

Staff turnover in long-term care (LTC) is considered one of the main causes of staff shortages and a key problem for LTC systems in the developed world. Factors affecting staff turnover in LTC facilities are poorly understood due to a fragmented approach. The aim of this study was to use multivariate analysis to identify the factors at the macro-, meso-, and micro-level that influence LTC workers' turnover in Slovenia, a typical Central and Eastern European country. A correlational cross-sectional survey design with a self-reported online questionnaire was used among Slovenian LTC workers (N = 452). The results show that more than half of LTC workers intend to quit their jobs and leave the LTC sector. LTC workers who intend to leave are generally younger, have worked in the LTC sector for a shorter period, are mainly employed in the public sector, especially in nursing homes, and earn less. The connection between the intention to leave and the factors at the macro-, meso-, and micro-level is very high. Over 75% of the variance of intention to leave was explained by the linear influence of sociodemographic characteristics, social recognition, and work environment. Urgent measures for improving the work environment are needed.