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To describe the prevalence and determinants of workplace violence against nurses in the Italian home care setting.
Secondary cross-sectional analysis of data from the multicentre study AIDOMUS-IT.
Nurses employed in home care services provided by Italian Local Health Authorities were interviewed using a variety of instruments. A multivariable binary logistic regression model was performed to model the risk of workplace violence against nurses in the last 12 months. Variables related to violence were selected among sociodemographic characteristics (such as age and gender), work-related factors (including years of experience, team composition, overtime working, previous experience in mental health care, burnout) and organisational elements (including leadership and support, workload, staffing and resources adequacy, and time to reach the patients' homes). Adjusted odds ratios (aOR) were used to present the results.
A total of 3949 nurses participated in the study and 20.49% of them reported to have experienced an episode of violence in the last 12 months. Determinants of higher risk of violence episodes were younger age (aOR = 1.02, p = 0.002), higher workload (aOR = 1.01, p = 0.002), working in a multiprofessional team (aOR = 1.24, p = 0.018), perception of inadequate managerial leadership and support (aOR = 1.38, p = 0.003), and higher burnout levels (aOR = 1.01, p < 0.001).
The prevalence of workplace violence against Italian home care nurses is high. Several modifiable determinants were found to be associated with a higher risk of violence, which can potentially be mitigated with tailored interventions.
Effective preventive strategies must be developed to lessen workplace violence against nurses in the home care setting. These strategies should focus on strengthening nursing managers' leadership and support skills, enhancing team-building strategies, avoiding inadequate workload, monitoring nurses' burnout, estimating optimum staffing levels, and assigning advanced-career nurses to home care services. These measures are imperative to guarantee the quality and safety of home care organisations and to attain favourable outcomes in the provision of care.
This study aimed to explore the prevalence and determinants of workplace violence against nurses in the Italian home care settings. We found that out of the 3949 nurses surveyed, 20% of the sample reported one episode of violence during the last 12 months. Determinants of this violence included younger age, higher workload and burnout, being in a multiprofessional team, and perception of lack of leadership and support by the nurse manager. The results of this study can be used to tailor interventions aimed at mitigating the risk factors of violence, particularly those that can be modified (e.g., workload, burnout, and leadership).
The study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.
No patient or public contribution.
To classify Italian home care models based on structural characteristics, process factors and stakeholder perceptions.
This is a secondary analysis of the AIDOMUS-IT multicentre cross-sectional study, conducted in Italy between July 2022 and December 2023.
Data were collected via online surveys completed by 33 Local Health Authority Nursing Directors, home care nurses and patients. Hierarchical cluster analysis was used to classify different organisational models based on structural and process-related factors. Nurses' and patients' perceptions of care were described for each identified cluster.
The analysis identified three distinct organisational home care models: The ‘multidisciplinary model’, in which nurses reported high dissatisfaction due to organisational complexity and excessive workloads. In the ‘nurse-centred model’, characterised by publicly employed nurses, strong leadership, and a supportive work environment, patients reported high levels of satisfaction. The ‘performance-based model’, which operated with a lower nurse-to-patient ratio, reduced service hours, and greater reliance on external professionals. Nurses in this model reported high job satisfaction but also a greater intention to leave, while patient satisfaction was lower.
This study underscores the importance of leadership, resource management, and a supportive work environment in influencing both job satisfaction and patient outcomes in home care settings.
Policymakers could use these findings to refine care models and improve service delivery.
Limited research has examined the organisational structures of home care services, which are important for professionals' organisational well-being, patient safety, and quality of care. This study identified three distinct organisational home care models that could be used to refine care approaches and improve service delivery.
This study respects the EQUATOR guideline for observational studies (STROBE).
This study did not include patient or public involvement in its design, conduct, or reporting.
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