Conectar
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.
To explore the impact of systems thinking in nursing leadership on healthcare quality, decision-making and resource management.
A systematic review.
A comprehensive literature search was conducted in PubMed, CINAHL, Scopus and Web of Science for studies published in English and Italian up to 2024.
Studies were selected based on predefined eligibility criteria, focusing on nursing leadership integrating systems thinking. The Joanna Briggs Institute (JBI) checklist was used to assess methodological quality. A narrative synthesis was conducted to identify key themes and patterns.
Fifteen studies met the inclusion criteria. Findings suggest that systems thinking enhances resource management, decision-making and patient safety, while also reducing errors and improving staff collaboration. Adopting a systems approach allows nursing leaders to navigate complex healthcare environments effectively. However, variability in study designs and implementation strategies limits the generalizability of findings.
Integrating systems thinking into nursing leadership promotes a proactive, holistic approach to problem-solving, optimising healthcare outcomes. While evidence supports its benefits, further empirical studies are needed to confirm its effectiveness across diverse healthcare settings.
What problem did the study address? The need for structured systems thinking in nursing leadership. What were the main findings? Improved decision-making, resource optimisation and patient safety through systems-oriented leadership. Where and on whom will the research have an impact? Nurse leaders, healthcare administrators and policymakers in diverse healthcare settings.
Although patients and the public were not directly involved, this study has implications for enhancing patient safety and healthcare efficiency.
Evidence-based practice (EBP) is essential for clinical decision-making, integrating the best available evidence, clinical expertise, and stakeholder values. In Italy, interest in EBP is growing, and a key step in its promotion is adopting tools to assess nurses' beliefs and behaviors toward EBP. While the EBP Beliefs Scale has been translated and validated in multiple languages, it has yet to be adapted for the Italian context.
This study aims to adapt EBP measurement tools for the Italian context and evaluate their psychometric properties.
This study used an observational cross-sectional design. The process of cross-cultural translation, adaptation, and validation was adopted. A panel of experts culturally adapted the Beliefs Scales (long and short version) through the item and scale content validity (I-CVI, S-CVI). To test the psychometric properties, 409 nurses were asked to complete the two scales. Confirmatory factor analysis was conducted to validate the factor structure within the Italian context. Convergent validity between the long and short versions of the scale was assessed using the correlation coefficient (r), and the reliability was assessed by computing Cronbach's alpha.
The I-CVI and S-CVI for the long and short version ranged from 0.75 to 1.00. The CFA model performed for the long and short version reported a good fit without the need for further refinements. The Cronbach's alpha was higher than 0.80 for both scales. The correlation of 0.615 (p < 0.01) indicated a moderate to strong positive relationship supporting the convergent validity of the short version in relation to the long version.
In time-constrained settings, the short scale should be utilized for efficient assessments and longitudinal tracking of changes. The long version serves as a complementary tool for in-depth analysis, facilitating a deeper understanding of underlying factors and informing targeted interventions to address specific barriers.
FreshRSS 