Nursing self-efficacy for oral anticoagulant therapy management: Development and initial validation of a theory-grounded scale

Is the Self-Evaluation of Resilience a Valid Assessment to Measure Resilience in Healthcare? A Confirmatory validation Study in Italian Healthcare Settings

Although the Self-Evaluation of Resilience (SEOR) scale is a promising tool for assessing resilience in healthcare, its psychometric structure has not yet been confirmed. This study aimed to assess and validate the four-factor psychometric structure of the SEOR. Between September 2020 and January 2021, cross-sectional data were collected from randomly selected healthcare workers, managers, and administrators from a predefined network of 70 healthcare facilities in 12 Italian regions. The sample size was based on a Monte Carlo simulation using estimates from the SEOR developmental study. Two confirmatory factor models (first-order and second-order) were predefined. The responders (n = 199, response rate, 81%) were healthcare workers (n = 99; 49.7%), managers (n = 86; 43.2%), and administrators (n = 14; 7%). The two confirmatory factor models each showed a good fit in explaining sample statistics, corroborating the capacity of the scale to provide a total score of resilience and sub-scores for organizational resilience, network-based resilience, skill-based resilience, and individual-based resilience. The Molenaar-Sijtsma coefficients (internal consistency) ranged between 0.889 and 0.927. The SEOR enables managers and policy-makers to comprehensively screen resilience in healthcare from an epidemiological perspective.

A stepwise methodological approach to develop and validate the digital and technological self-efficacy scale for healthcare workers among nurses and nursing students

AIMS

To develop and validate the Digital and Technological Self-Efficacy Scale (Digitech-S) for healthcare workers among nurses and nursing students.

BACKGROUND

Digital and technological solutions (DTS) significantly impact working life in healthcare and educational settings. DTS-related self-efficacy might be defined the individual's confidence in proficiently performing digital and technological tasks, even when faced with challenges. Its assessment might guide educators in orienting focused interventions to enhance the self-efficacy of nurses and nursing students. Thus far, the assessment of DTS-related self-efficacy is currently undermined by the lack of valid and reliable measurements.

DESIGN

A stepwise methodological approach was employed in two main phases. Phase one focused on tasks guided by literature for generating items reflecting DTS. Phase two encompassed three steps: A content validity step, a first cross-sectional data collection for Mokken scaling analysis (MSA) performed to reduce the number of items toward a unidimensional structure and with a hierarchical approach, and a confirmatory factor analysis including the group (nurses vs. nursing students) as a covariate (MIMIC) to cross-validate the unidimensional structure and assess the measurement invariance using a second cross-sectional data collection round. A Multi-Group Confirmatory Factor Analysis (MG-CFA) was also conducted to test for configural, metric, scalar, and strict invariance across the two groups.

RESULTS

Phase one resulted in 36 items derived from a literature review, which was reduced to 33 after the content validity process. 660 responders (nurses = 388; nursing students = 272) were included in the sample analyzed with MSA, and 13 items were hierarchically selected for the subsequent data collection (Rho reliability = 0.95; Hs = 0.67; Hi ranging from 0.55 to 0.72). MIMIC models were performed on 421 responders (nurses = 268; nursing students = 153), and three items that caused non-invariance between nurses and nursing students were identified and removed from the final version (Cronbach's alpha = 0.928). The MG-CFA demonstrated configural and metric invariance, suggesting a consistent factor structure and factor loadings across both groups, but scalar and strict invariance were not fully achieved.

CONCLUSIONS

The Digitech-S is a 10-item scale showing a unidimensional and stable structure, which could be used for educational and research purposes.

An Observational Cross-Sectional Study on the Correlation between Professional Competencies and Self-Efficacy in Albanian Registered Nurses

(1) Background: The assessment and application of registered nurses' professional skills are essential to providing quality and safe care. Self-efficacy can positively affect the professional competence of registered nurses. This study analysed professional competence and its association with self-efficacy among registered nurses. (2) Methods: A cross-sectional observational study was conducted. The sampling was conventional. The data collection took place through the Albanian version of the Nurse Professional Competence Scale Short Form (A-NPCS-SF), which was used to assess their professional skills, and the Albanian version of the Nursing Profession Self-Efficacy Scale (A-NPSES), which was used to assess their self-efficacy. The study was based on a convenience sample of 985 registered nurses from the 12 Albanian provinces. (3) Results: The Cronbach alpha value for the A-NPCS-SF scale was 0.947, while for the A-NPSES scale, it was 0.875, proving both scales to be reliable. Self-efficacy does not play an essential role in the development of the professional competence of registered nurses since our survey found only one dimension correlates with these two elements. (4) Conclusions: The results of our analysis have instead highlighted the importance of a close relationship between job satisfaction and the development of professional skills.

Nursing Profession Self-Efficacy Scale-Version 2: A Stepwise Validation with Three Cross-Sectional Data Collections

BACKGROUND

The nursing professional self-efficacy scale (NPSES) is one of the most used self-reporting tools for assessing nursing self-efficacy. Its psychometric structure was described differently in several national contexts. This study aimed to develop and validate version 2 of the NPSES (NPSES2), which is a brief version of the original scale selecting items that contribute to stably detecting attributes of care delivery and professionalism as descriptors of salient aspects of the nursing profession.

METHODS

Three different and subsequent cross-sectional data collections were employed to reduce the number of items to generate the NPSES2 and validate its new emerging dimensionality. The first (June 2019-January 2020) involved 550 nurses and was used to reduce the number of the original scale items by using a Mokken scale analysis (MSA) to ensure the selection of items consistently with the invariant item ordering properties. The subsequent data collection was performed to conduct an exploratory factor analysis (EFA) involving 309 nurses (September 2020-January 2021), and the last data collection (n = 249) was performed to cross-validate with a confirmatory factor analysis (CFA), the most plausible dimensionality derived from the EFA (June 2021-February 2022).

RESULTS

The MSA led to the removal of twelve items and retention of seven items (Hs = 0.407, standard error = 0.023), which showed adequate reliability (rho reliability = 0.817). The EFA showed a two-factor solution as the most plausible structure (factors loading ranged from 0.673 to 0.903; explained variance = 38.2%), which was cross-validated by the CFA that showed adequate fit indices: χ² (13, N = 249) = 44.521, p < 0.001; CFI = 0.946; TLI = 0.912; RMSEA = 0.069 (90% CI = 0.048-0.084); SRMR = 0.041. The factors were labeled as care delivery (four items) and professionalism (three items).

CONCLUSIONS

NPSES2 is recommended to allow researchers and educators to assess nursing self-efficacy and inform interventions and policies.

Barriers to self-monitoring implementation in the oral anticoagulated population: A qualitative study

AIM

This study aimed to explore and understand the barriers perceived by Italian nurses to adopting self-monitoring for managing oral anticoagulation in real-life settings.

BACKGROUND

Barriers to self-monitoring implementation for managing oral anticoagulation have been poorly described.

DESIGN

The study had a qualitative descriptive and exploratory design with a hybrid approach.

METHODS

A literature review was conducted to identify a priori barriers (deductive approach), while a small and semi-structured focus group discussion was performed to explore the contextual barriers experienced by Italian nurses (inductive approach). A classic content analysis technique was adopted. Data were collected in 2019.

FINDINGS

Two main categories were identified. Organizational barriers referred to the lack of inter-professional collaboration and health-care system strategies to provide clinical pathways for self-monitoring. Individual barriers encompassed professional characteristics (e.g. university background, professional knowledge, continuum education and accountability/responsibility) and patient characteristics (e.g. patient health literacy and knowledge, engagement/empowerment and educational programmes). Finally, unwarranted clinical variation in oral anticoagulation management arose as a barrier determined by organizational and individual elements.

CONCLUSIONS

The results of this study pointed out an urgent public health issue in addressing barriers influencing self-monitoring practice and in sustaining care models that might enhance the quality improvement of self-monitoring for managing oral anticoagulation.