A conceptual model for students' satisfaction with team-based learning using partial least squares structural equation modelling in a faculty of life sciences, in the United Kingdom

The predictive power of electronic reporting system utilization on voluntary reporting of near-miss incidents among nurses: A PLS-SEM approach

Background

Patient safety is crucial in healthcare, with incident reporting vital for identifying and addressing errors. Near-miss incidents, common yet underreported, serve as red flags requiring attention. Nurses' underreporting, influenced by views and system usability, inhibits learning opportunities. The Electronic Reporting System (ERS) is a modern solution, but its effectiveness remains unclear.

Objective

This study aimed to investigate the role of the ERS in enhancing the voluntary reporting of near-miss (VRNM) incidents among nurses.

Methods

A cross-sectional study was conducted in the Al Dhafra region of the United Arab Emirates, involving 247 nurses from six hospitals. Data were collected using a questionnaire between April 2022 and August 2022. Structural Equation Modelling Partial Least Square (SEM-PLS) was employed for data analysis.

Results

The average variance extracted for the ERS construct was 0.754, indicating that the common factor accounted for 75.4% of the variation in the ERS scores. The mean ERS score was 4.093, with a standard deviation of 0.680. For VRNM, the mean was 4.104, and the standard deviation was 0.688. There was a positive correlation between ERS utilization and nurses' willingness to report near-miss incidents. Additionally, our research findings suggest a 66.7% relevance when applied to various hospital settings within the scope of this study.

Conclusion

The findings suggest that adopting a user-friendly reporting system and adequate training on the system's features can increase reporting and improve patient safety. Additionally, these systems should be designed to be operated by nursing staff with minimal obstacles.

The relationship between the pharmacist's role, patient understanding and satisfaction during the provision of a cost-effective pharmacist-led intervention

RATIONALE, AIMS AND OBJECTIVES

This study aimed to investigate the relationship between the pharmacist's role, patient understanding and satisfaction during the provision of a cost-effective pharmacist-led intervention using structural equation modelling (SEM). SEM is a group of statistical techniques used in different disciplines to model latent variables and evaluate theories.

METHODS

A validated questionnaire was used to gather patient views on a pharmacist-led intervention. A conceptual model was developed to test the statistical significance of the relationship between patient understanding and satisfaction, the pharmacist's role and patient understanding, the pharmacist's role and patient satisfaction. In addition, the study evaluated the model's in-sample and out-of-sample predictive power. The analysis tested fours hypotheses (H): 1) There was no significant relationship between patient understanding and patient satisfaction; 2) There was no significant relationship between the pharmacist's role and patient understanding; 3) There was no significant relationship between the pharmacist's role and patient satisfaction; 4) The in-sample and out-of-sample predictive power of the model. Data were analysed using Smart-PLS software version 3.2.8.

RESULTS

Two hundred and forty-six patients returned the questionnaire. Construct reliability, validity (Cronbach's alpha〉0.70, ⍴A>0.70, ⍴C>0.70), average extracted variance (AVE〉0.50) and discriminant validity (HTMT<0.85) were confirmed. The structural model and hypothesis testing results showed that all hypotheses were supported in this study. Path coefficients and effect sizes suggested that the pharmacist's role played a significant part in patient understanding (H2, β=0.650, f² =0.730, p<0.001), which then influenced patient satisfaction (H1, β=0.474, f² =0.222, p<0.001). The in-sample and out-of-sample predictive powers were moderate.

CONCLUSIONS

Patient satisfaction is becoming an integral component in healthcare provision and evaluation of healthcare quality. The results support using structural equation modelling to assess the link between the pharmacist's role and patient understanding and satisfaction when delivering cost-effective pharmacist-led interventions.

Psychometric properties of Clinical Learning Environment Inventory and its association with Moroccan nursing students' satisfaction: A PLS-SEM approach

Background

The Clinical Learning Environment (CLE) is integral to pre-registration nursing curricula. Assessing the student's perceptions of their CLE is essential to adjust clinical placement to trainees' needs. Clinical Learning Environment Inventory (CLEI) appears to be widely used in measuring CLE, but no previous study has reported a full structural validity and its association with students' satisfaction in the Moroccan context.

Objectives

This study investigated the psychometric properties of the CLEI and its subscales association with Moroccan nursing students' satisfaction.

Methods

The research design was descriptive, cross-sectional, and conducted from March and June 2022 using convenience sampling in three nursing institutes of the Fez-Meknes region of Morocco. The selected sample involved Moroccan nursing students undertaking clinical practice. First, exploratory factor analysis (EFA) was used to determine the factor structure of the pilot sample (N = 143). The second sample (N = 206) was then used to confirm this structure using partial least squares structural equation modeling (PLS-SEM) confirmatory composite analysis (CCA). Finally, using a bootstrapping method, the significance of the structural path was evaluated.

Results

The CLEI scale depicted convergent validity (AVE = 0.56 - 0.71), discriminant validity, estimated by the square roots of AVE and bootstrapped HTMT confidence interval, and significant reliability (rhoC = 0.83 - 0.92). Using a bootstrapping approach, structural path significance displayed a substantial association between task orientation and students' satisfaction (β = 0.29, p <0.001). This ascertains that nurse students need well-planned guidelines from their facilitators in clinical wards.

Conclusions

The CLEI instrument revealed adequate psychometric properties and supported its original structure. As a result, the instrument might be used to measure students' perceptions of their CLE. Task orientation appeared to be the most important factor influencing the students' satisfaction in CLE.

A SEM-NCA Approach towards Social Networks Marketing: Evaluating Consumers' Sustainable Purchase Behavior with the Moderating Role of Eco-Friendly Attitude

This paper aims to investigate how social network marketing affects consumers' sustainable purchase behavior (CSPB) while considering the role of Eco-friendly attitude. The statistical population of the study included Iranian users of online social networks with at least one online purchasing experience. An online questionnaire was distributed on Instagram, Telegram, and WhatsApp platforms as the most popular networks in the country. By use of convenience sampling, commonly used in quantitative studies to overcome bias, 450 out of 475 returned questionnaires were acceptable, showing a response rate of 94.7%. The results indicated that an increase in Eco-friendly attitude positively increases the effect of word of mouth on consumers' sustainable purchase behavior. Meanwhile, Necessary Condition Analysis (NCA) revealed that to reach a 50% level of consumers' sustainable purchase behavior, six essential necessary conditions are required: an eco-friendly consumers' attitude at no less than 50%, the trend at no less than 57.1%, word of mouth at no less than 45.5%, interaction at no less than 42.9%, customization at no less than 35.3% and entertainment at no less than 26.7%. Furthermore, the Importance-Performance Matrix Analysis (IPMA) was investigated as a strategic tool. The results of IPMA showed that "buy products that use biodegradable material in packaging", "buy those products that are picked up and recycled", and "buy biodegradable products even if they belong to a less well-known company" show desirable performance and high importance and there is a great opportunity for expansion in this area.