Practice and System Factors Impact on Infection Prevention and Control in General Practice during COVID-19 across 33 Countries: Results of the PRICOV Cross-Sectional Survey.

Infection prevention and control (IPC) is an evidence-based approach used to reduce the risk of infection transmission within the healthcare environment. Effective IPC practices ensure safe and quality healthcare. The COVID-19 pandemic highlighted the need for enhanced IPC measures and the World Health Organization (WHO) emphasized the need for strict adherence to the basic principles of IPC. This paper aims to describe the IPC strategies implemented in general practice during the COVID-19 pandemic and to identify the factors that impact their adoption. Data were collected by means of an online self-reported questionnaire among general practices. Data from 4466 practices in 33 countries were included in the analysis. Our results showed a notable improvement in IPC during COVID-19 with more practices reporting that staff members never wore nail polish (increased from 34% to 46.2%); more practices reporting that staff never wear a ring/bracelet (increased from 16.1% to 32.3%); and more practices using a cleaning protocol (increased from 54.9% to 72.7%). Practice population size and the practice payment system were key factors related to adoption of a) range of IPC measures including patient flow arrangements and infrastructural elements. An understanding of the interplay between policy, culture, systemic supports, and behavior are necessary to obtain sustained improvement in IPC measures.

Distress and Wellbeing among General Practitioners in 33 Countries during COVID-19: Results from the Cross-Sectional PRICOV-19 Study to Inform Health System Interventions.

Emerging literature is highlighting the huge toll of the COVID-19 pandemic on frontline health workers. However, prior to the crisis, the wellbeing of this group was already of concern. The aim of this paper is to describe the frequency of distress and wellbeing, measured by the expanded 9-item Mayo Clinic Wellbeing Index (eWBI), among general practitioners/family physicians during the COVID-19 pandemic and to identify levers to mitigate the risk of distress. Data were collected by means of an online self-reported questionnaire among GP practices. Statistical analysis was performed using SPSS software using Version 7 of the database, which consisted of the cleaned data of 33 countries available as of 3 November 2021. Data from 3711 respondents were included. eWBI scores ranged from -2 to 9, with a median of 3. Using a cutoff of ≥2, 64.5% of respondents were considered at risk of distress. GPs with less experience, in smaller practices, and with more vulnerable patient populations were at a higher risk of distress. Significant differences in wellbeing scores were noted between countries. Collaboration from other practices and perception of having adequate governmental support were significant protective factors for distress. It is necessary to address practice- and system-level organizational factors in order to enhance wellbeing and support primary care physicians.

Implementation of the Workload Indicators of Staffing Need (WISN) Method in Determining Staff Requirements in Public Health Laboratories in Serbia.

OBJECTIVES: This study aimed at identifying the needs for the health workforce in 16 public health laboratories in the Serbian capital by assessing the workforce stock, workload activities, activity standards, and workload pressure. METHODS: A review of laboratory records and regulations, interviews with key respondents, and observing work processes provided data for the World Health Organization method for determining staffing needs based on workload indicators (Workload Indicators of Staffing Need, WISN). RESULTS: A total of 99 laboratory workers spend almost 70% of their available working time in undertaking core activities. Core activities per sample can take from 0.25 to 180 min. Laboratory workers are under moderate or high workload pressure (the WISN ratio from 0.86 to 0.50). The WISN difference indicates a shortage of 22.22% of laboratory analysts and 20.63% of laboratory technicians. To balance the staffing to workload, these laboratories need an additional 8 FTE analysts and 13 FTE technicians. They could also consider selectively reducing workload pressure by automating some of the additional activities while maintaining the competence of laboratory workers and opportunities for professional development. CONCLUSIONS: Staffing policy should account for work processes, activity standards, and workload pressure to determine necessary staffing to meet the need for laboratory services in the local context.

Factors Associated with Intention of Serbian Public Health Workers to Leave the Job: A Cross-Sectional, Population-Based Study.

Recruitment and retention of public health workers (PHWs) is crucial for the optimal functioning of the public health system at a time of budget cuts and the threat of a pandemic. Individual and job-related variables were examined by univariate and multivariate logistic regression to identify predictors of the intention to leave a job during the COVID-19 outbreak among Serbian PHWs in 25 institutes of public health (n = 1663 respondents, of which 73.1% were female). A total of 20.3% of PHWs intended to leave their current job within the next five years. Males and persons aged younger than 55 years who had additional practice were more likely to report an intention to leave their job than females, those older than 54 years and those without additional work. While uncertainty and fear of infection during the COVID-19 pandemic were almost perceived as job attractiveness, other job-related characteristics were identified as significant barriers to maintaining the sufficient capacity of qualified PHWs in the future. Authorities need to address these factors, including the following: the feeling of tension, stress or pressure, and unavailability of information during the COVID-19 pandemic, as well as dissatisfaction with respect, valuation, and the job in general.

Health workforce management in the context of the COVID-19 pandemic: A survey of physicians in Serbia.

BACKGROUND & AIM: The study describes the experiences and opinions of Serbian physicians regarding workforce management during the COVID-19 pandemic. MATERIALS & METHODS: A total of 1553 licensed physicians (65% males; average age 44.0 years) responded to an online survey in September 2020. Differences in the respondents' general data and attitudes regarding workforce management and outbreak preparedness in Serbia were analysed in relation to their engagement during the COVID-19 pandemic (Pearson χ2 and the independent samples t-test, p < 0.05). The logistic regression model explained the need for changing health workforce management. RESULTS: The results reveal that the physicians engaged in the fight against the spread of COVID-19 (64.4% of the respondents) more often than their counterparts, were clinicians from the public sector, younger, with less work experience, influenced negatively by the pandemic, and reassigned to other positions (p < 0.001). Health workers dissatisfied with workplace preparedness and those reassigned due to COVID-19 were by 2.61 times and 1.38 times, respectively, more likely than their counterparts to consider changes in health workforce management. DISCUSSION & CONCLUSION: COVID-19 underlines the need for changes in health workforce management during public health emergencies. An internal incident management team and a panel of external experts may support health workforce management during the prolonged and rapidly changing crises.

Gender Differences in Predictors of Self-Medication with Tranquillizers and Sleeping Pills: Results of the Population-Based Study in Serbia.

BACKGROUND: Previous studies among the Serbian population concluded that the trend of self-medication with tranquillizers and sleeping pills requires deeper study. The objective is to identify gender differences in socio-demographic, health, and health service predictors of self-medication with tranquillizers and sleeping pills in a Serbian population of 15 years old and above. METHODS: This was a population-based, cross-sectional study. Data was extracted from the most recently available results of the Serbian National Health Survey of 2013. Multivariate logistic regression was used to determine independent self-medication predictors. RESULTS: The study included 14,623 participants, of which 51.77% were female. While 5.6% of the females reported self-medication with tranquillizers and sleeping pills, only 2.2% of males reported such practice (p<0.001). The presence of chronic disease, stress, and physical pain in the last month before the interview was significantly associated with an increased likelihood of self-medication with observed drugs in both genders. Age was the most significant socio-demographic predictor of self-medication in females, while in males it was unemployment. Women of 55-65 years of age showed a greater risk from self-medication with tranquillizers and sleeping pills in comparison to women of 15-24 years of age (aOR=4.75, 95% CI: 1.83-12.33). Unemployed males showed a greater tendency for such practice in comparison to employed (aOR=1.86, 95% CI: 1.19-2.91). CONCLUSION: The findings highlighted predictors of self-medication with tranquillizers and sleeping pills and important differences between genders, which may contribute to the design of gender-sensitive surveillance, identification, and the prevention of such undesirable practices through evidence-based and appropriately tailored public health actions.

Predictors of self-medication in Serbian adult population: cross-sectional study.

Background In spite of many benefits for individuals and community, self-medication has a number of potential risks. Objective To identify predictors of self-medication with over-the-counter and prescription (Rx) medicines without doctor's prescription. Setting Serbian population of 15 years of age and over. Method This was crosssectional, epidemiological study. Data have been drawn from Serbian National Health Survey 2013 database. Predictors of self-medication were determined among sociodemographic, health related and health services related factors, using multivariate logistic regression models. Main outcome measure Prevalence and predictors of selfmedication. Results The study included 14,623 participants. The prevalence of selfmedication was 27.1 and 24% after exclusion of vitamins, minerals and herbal preparations. Medicines for pain relief were the mostly used medicines without doctors' prescription in 18.4% of participants. A relatively high prevalence of self-medication with Rx medicines, (1) tranquilizers and sleeping pills, (2) antibiotics and (3) antihypertensives, was found, 4, 2.5 and 1.9%, respectively. Socio-demographic factors (middle age, female gender, higher level of education), health related factors (chronic disease, stress, physical pain), and health service related factors (nonrealized healthcare needs due to long waiting, dissatisfaction with publicly funded health services) have been found as significantly associated with self-medication. Conclusion Self-medication in Serbia is predicted by socio-demographic and health related factors, unmet needs for healthcare and dissatisfaction with publicly funded healthcare services. Improvements in healthcare system, particularly, shortening of long waiting for healthcare services and improvements in pharmaceutical services, particularly better control of Rx medicines dispensing, could contribute in improvement of responsible self-medication.