Conectar
To identify the pain assessment scales with the best psychometric properties to be used by nurses in an inpatient setting.
Umbrella review.
A comprehensive search of four databases was conducted for systematic reviews published from July 2013 to November 2024, focusing on psychometric properties of pain scales used in inpatient settings. Inclusion criteria required scales to assess subjective or behavioural pain and be nurse-administered, while reviews without detailed psychometric data were excluded. Screening, quality appraisal (JBI checklist), and data extraction were performed independently by two researchers. Data synthesis combined qualitative and quantitative approaches, with psychometric properties evaluated using the COSMIN checklist. The study was reported in accordance with the Preferred Reporting Items for Overviews of Reviews (PRIOR) statement.
Seventeen articles met the inclusion criteria, identifying 41 scales used across various patient populations, including critical care, paediatric, postoperative, cancer, cerebral palsy, disorders of consciousness, low back and neck pain, stroke and verbal communication disorders. The Paediatric Pain Profile, the Breakthrough Pain Assessment Tool and the Questionnaire on Pain caused by Spasticity demonstrated adequate psychometric properties, although the positive findings for the latter two should be confirmed by at least one additional study. Most of the scales (n = 36) require further studies to validate their use in clinical practice. For two scales, their clinical use remains questionable.
The Paediatric Pain Profile, the Breakthrough Pain Assessment Tool, and the Questionnaire on Pain caused by Spasticity can be recommended for use. Unidimensional scales should complement, rather than replace, multidimensional scales to ensure a comprehensive pain assessment. Standardising documentation with validated scales enhances clinical decision-making, care quality, research usability, and reduces documentation burden.
Evidence-based practice (EBP) is widely endorsed as a cornerstone for high-quality, patient-centered care. However, its integration into daily clinical routines remains inconsistent, particularly in settings where cultural, educational, and organizational challenges persist. Reliable, contextually adapted tools are essential to measure EBP implementation and guide improvement efforts.
This study aimed to validate the Italian versions of the EBP Implementation Scale and its short-form (3-item) version.
A cross-sectional survey design was adopted. Both versions of the EBP Implementation Scale were translated and culturally adapted in accordance with internationally recognized guidelines. Data were gathered from a national sample of 405 nurses through a combination of convenience and snowball sampling. Psychometric assessment encompassed confirmatory and Bayesian factor analyses, evaluation of internal consistency and test–retest reliability, and measurement invariance testing. All analyses were performed in R Studio.
Confirmatory factor analyses confirmed that both versions (long and short) of the scale measure a single underlying construct. The instruments demonstrated high reliability (ω = 0.96 and 0.87 respectively). Measurement invariance across educational groups was partially established, as the partial scalar invariance model demonstrated acceptable fit (CFI = 0.991, RMSEA = 0.045), suggesting consistent interpretation of the scale across different levels of EBP training. Latent profile analysis revealed distinct subgroups of EBP implementers, with notable differences in latent means (p < 0.001) associated with previous education in evidence-based practice.
The Italian EBP Implementation Scales are valid and reliable tools for assessing EBP implementation behaviors. They can support education planning, monitor practice changes over time, and inform interventions aimed at enhancing evidence-based care.
Authentic leadership holds great potential to impact positive nursing and organizational outcomes. However, authentic leadership's connection to organizational culture, self-efficacy, and work engagement remains underreported.
To investigate the associations of authentic leadership, organizational culture, self-efficacy, and work engagement among nurses.
Cross-sectional and correlational design employing consecutive sampling in recruiting nurses (n = 534) between May and October 2024. Four validated self-report scales were used to collect data. Structural equation modeling analysis was used to examine the study variables' interrelationships.
Organizational culture significantly predicted authentic leadership (β = 0.91, p = 0.004), while authentic leadership significantly influenced both self-efficacy (β = −0.16, p = 0.041) and work engagement (β = 0.57, p = 0.001). Meanwhile, self-efficacy directly and positively influences work engagement (β = 0.24, p = 0.002). Organizational culture had significant indirect effects on both self-efficacy (β = −0.14, p = 0.042) and work engagement (β = 0.48, p = 0.001) through the mediation of authentic leadership. Finally, self-efficacy mediated the association between authentic leadership and work engagement (β = −0.04, p = 0.002).
The study shed light on the complex and interwoven relationships among several essential constructs—specifically, authentic leadership, organizational culture, self-efficacy, and work engagement. These factors collectively contribute to the creation and maintenance of a dynamic and supportive working environment for nurses.
Nurses' burnout, work instability (WI), and job satisfaction (JS) in their practice environment (PE) are well established in the literature. However, perinatal missed care (PMC), a subset of missed nursing care, remains underreported among maternity nurses.
To examine the mediating role of PE and burnout in the associations of WI, JS, and PMC among maternity nurses.
A cross-sectional and correlational study employed consecutive sampling to recruit maternity nurses (n = 312) from five hospitals in Saudi Arabia (three government and two private hospitals in Hail and Makkah regions, respectively). Maternity staff nurses, regardless of their sex, years of professional nursing experience, or nationality, who met inclusion criteria were included in this study. Data was collected from July to September 2024 using four standardized self-report scales. Structural equation modeling was utilized for statistical analyses.
Maternity nurses' WI negatively influenced PE (β = −0.23, p = 0.014), while positively affected PMC (β = 0.15, p = 0.031). The PE positively affected JS (β = 0.24, p = 0.034) but had a negative effect on burnout (β = −0.24, p = 0.007) and PMC (β = −0.21, p = 0.038). Burnout negatively affected JS (β = −0.25, p = 0.028), while positively associated with PMC (β = 0.20, p = 0.022). PE mediated the associations between WI and burnout (β = 0.05, p = 0.019), JS (β = −0.07, p = 0.020), and PMC (β = −0.06, p = 0.008). Meanwhile, burnout mediated between PE and JS (β = 0.05, p = 0.030) and PMC (β = −0.04, p = 0.023).
Understanding the relationships among maternity nurses' burnout, JS, PE, and PMC is key to improving the quality of perinatal care and ensuring the patients' well-being. By focusing on strategies to enhance the PE (e.g., adequate staffing and resources, improved nurse–patient ratio), reduce burnout (e.g., meditation and mindfulness programs, coping intervention programs), and improve JS (e.g., work schedule flexibility, facilitate work-life balance, staff professional development), healthcare organizations can mitigate the occurrence of PMC.
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.
Computer-based technologies have been widely used in nursing education, although the best educational modality to improve documentation and nursing diagnostic accuracy using electronic health records is still under investigation. It is important to address this gap and seek an effective way to address increased accuracy around nursing diagnoses identification. Nursing diagnoses are judgments that represent a synthesis of data collected by the nurse and used to guide interventions and to achieve desirable patients' outcomes. This current investigation is aimed at comparing the nursing diagnostic accuracy, satisfaction, and usability of a computerized system versus a traditional paper-based approach. A total of 66 nursing students solved three validated clinical scenarios using the NANDA-International terminologies traditional paper-based approach and then the computer-based Clinical Decision Support System. Study findings indicated a significantly higher nursing diagnostic accuracy (P 
FreshRSS 