Search Results (3)

Background: Seasonal influenza currently remains a major public health concern for the community and, in particular, the health care worker (HCW). According to the World Health Organization, HCWs are among the high-risk categories for which vaccination is recommended, due to the derived absenteeism, productivity loss, and high probability of transmitting the disease to vulnerable individuals or patients. Therefore, an HCW vaccination policy should be adopted by every health care provider. There is growing evidence that a time effect of the vaccination event is probable, which may influence vaccine effectiveness. We designed and conducted an observational study to investigate the time to anti-influenza vaccination event of different categories of HCWs belonging to different occupational settings in a tertiary hospital during three seasons in order to retrieve some insight about HCW prioritization when designing vaccination campaigns. Materials and Methods: We retrospectively analyzed the results of two HCW anti-influenza vaccination campaigns (2022 and 2023) to assess any difference regarding job typology and unit typology (critical care, surgical, medical, service). We first fitted a classic Cox proportional hazard model and then an AI random forest model to assess variable importance. We used R, RStudio, and the survex package. Results: Overall, other HCWs reported a lower vaccination rate compared to nurses (HR 0.77; 95%CI 0.62–0.97), and service unit personnel appeared to more likely be vaccinated (HR 1.42; 95%CI 1.01–1.99) compared to those belonging to the critical care units. As expected, older workers tended to be vaccinated more frequently (HR 1.70 for the (46, 65] category compared to the younger one; 95%CI 1.39–2.09). The variable importance analysis showed consistent superiority of the ward typology and age category variables with respect to time. During the entire timeline, the ward typology appeared to be more important than the HCW typology. Conclusions: Our results suggest a prioritization policy based firstly on the unit typology followed by the job typology for HCW anti-influenza campaigns. Full article

The screening of patients in the community is important and is a commonly used indicator to detect, prevent, and treat abnormal health changes. As such, the South African Department of Health following the initiative of the World Health Organization has appointed ward-based community health care workers through a primary health care reengineering program. The main objective of their appointment was to screen household members to reduce the burden of diseases such as diabetes mellitus and hypertension. As such, the study investigated the importance of using non-communicable disease screening tools by ward-based community health care workers in South Africa. A qualitative, exploratory, and descriptive design was used. A non-probability purposive sampling method was used to select forty participants from primary health care facilities. Four focus group discussions were held with ten participants in each group. Semi-structured focus group discussions were held with participants in their workplaces. Content data analysis was applied to come up with one theme and six subthemes. The study findings revealed that the use of screening tools facilitated comprehensive household assessments, helped identify risk factors and symptoms, and facilitated health education and patient referrals. The continuous supply of screening tools and updates on their use was recommended to reduce the rate and burden caused by non-communicable diseases to society at large. Full article

Most studies on workers’ health are based on non-specific models of occupational stress, thereby limiting the understanding and research on efficient interventions. This qualitative approach aimed to explore the structure of resources and constraints in the working environment of nurses in a deliberately open approach. Semi-structured interviews were conducted with 37 nurses working in closed and open inpatient psychiatric wards in a French university hospital. The data were statistically analyzed using a hierarchical clustering method. Our model highlighted a systemic structure, describing the interactions, including patients, nurses, doctors, and managers in a specific material, communicational, and organizational environment. The results show a discursive structure organized around dimensions pertaining to “environment”, “patients”, “medical-care group”, and “the individual”. Our model showed interest in an interdisciplinary approach that encompasses occupational medicine and social psychology. Full article