Translation, transcultural adaptation, and validation of the role-modeling cost-conscious behaviors scale

Development and psychometric testing of a scale measuring caring behaviors for healthcare students and providers

This study intended to develop and assess the psychometric properties of a caring behavior scale on healthcare students and providers (CBS-HSP) in a Taiwanese population. After a literature review was conducted and an expert panel was consulted for item generation, 104 items for the CBS-HSP scale were derived on a nine-point Likert scale, with 9 indicating 'extremely important' and 1 indicating 'extremely unimportant.' A pilot study was then conducted with seven hundred forty-eight healthcare students and providers in Taiwan for further data analysis. The statistic software used in the study was SPSS for the exploratory factor analysis (EFA) and AMOS for the confirmatory factor analysis (CFA). Also, to examine the psychometric properties of the scale, internal consistency, convergent validities, discriminant validities, and model fit indices were calculated in the study. The EFA results derived 31 items in four factors, with 65.742% of the total variance explained: 'support and attentiveness' (11 items; 48.714% of the variance explained), 'professional knowledge and skills' (8 items; 8.226% of the variance explained), 'gratifying needs and responsiveness' (7 items; 5.236% of the variance explained), and 'confidentiality and trust' (5 items; 3.566% of the variance explained). The Cronbach's alphas for the four subscales and the overall scale ranged from 0.894 to 0.964. The CFA results yielded the same 31 items, with the same four factors. The CFA results demonstrated good to excellent model fit in the χ2/df ratio (1.242), GFI (0.988), CFI (0.988), TFI (0.985), and RMSEA (0.031). The Cronbach's alphas ranged between 0.866 and 0.971; the composite alphas ranged between 0.854 and 0.964. The convergent and discriminant validities also proved the stability of the CBS-HSP scale. The research results indicated that the developed CBS-HSP appeared to be a reliable instrument to measure healthcare students' and providers' caring behaviors.

Development and Validation of a Scale Measuring Humanistic Professional Awareness for Healthcare Students and Providers

Objective

This study aimed to develop an appropriate scale accessing healthcare students’ and providers’ humanistic professional awareness (HPAS-HSP).

Methods

Following a literature review, stakeholder interviews, and panel discussions for item generation, 65 items for the HPAS-HSP scale were created based on a nine-point Likert scale, with 9 indicating “strongly agree” and 1 indicating “strongly disagree.” A pilot study using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), with seven hundred twenty-five medical care students and providers in Taiwan as the total sample number of the study, was administered to examine the practicability of the HPAS-HSP scale. The statistics software SPSS and AMOS 24.0 were used to examine the psychometric properties of the scale, including internal consistency, convergent validities, discriminant validities, and exploratory and confirmatory factor analysis.

Results

The EFA resulted in 21 items in three factors, with 66.221% of the total variance explained: “personal integrity and accountability” (9 items; 51.763% of the variance explained), “sensitivity to others” (6 items; 8.667% of the variance explained), and “medical professional competence” (6 items; 5.791% of the variance explained). The Cronbach’s alphas for the three subscales and the entire questionnaire ranged from 0.892 to 0.949. The CFA results yielded 20 items, with the same three factors, and demonstrated good model fit in the χ²/df ratio (1.130; p = 0.140), CFI (0.998), TFI (0.998), and RMSEA (0.013). The composite alphas ranged between 0.900 and 0.969. Convergent and discriminant validity also confirmed the stability and consistency of the scale.

Conclusion

The statistical results demonstrated that the HPAS-HSP scale can be a measure to assess healthcare students’ and providers’ humanistic professional awareness.

Development and Validation of a Chinese Version of a School-to-Work Transition Anxiety Scale for Healthcare Students

OBJECTIVE

The aim of this paper was to develop an appropriate scale measuring healthcare students' anxiety during the transition from school to work.

METHODS

After an extensive literature review and panel discussion to prove the face validity and content validity, the initial item pool was reduced to 52 items. In a pilot study, a sample of four hundred and twenty-four healthcare students participated, and exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used. Psychometric properties-construct validity, convergent validity, discriminant validity, goodness of fit, and reliabilities-were also analyzed.

RESULTS

After the use of EFA, the 52 items were reduced to 31 items in four factors, with 66.70% of the total variance explained. The Cronbach's alpha values ranged between 0.91 and 0.93. The study also used CFA to validate the EFA model, and the results demonstrated that with the same thirty-one items in a 7-point Likert scale, the model was a better fit in four factors: "inexperience in professional knowledge and skills" (nine items; factor loadings: 0.642-0.867; 43.72% of the variance explained), "fear of death" (eight items; factor loadings: 0.745-0.831; 9.94% of the variance explained), "fear of being infected" (eight items; factor loadings: 0.678-0.866; 7.86% of the variance explained), and "interpersonal interactions" (six items; factor loadings: 0.704-0.913; 5.18% of the variance explained). The CFA model demonstrated a good model fit in the χ²/df ratio (1.17; p = 0.016), CFI (0.99), TFI (0.99), and RMSEA (0.02). The composite reliabilities ranged from 0.89 to 0.92, confirming the StWTA-HS scale's stability and internal consistency. The convergent validity and discriminant validity were also confirmed. The StWTA-HS scale has been proven to be a stable scale to measure healthcare students' school-to-work transition anxiety.

Analysis of factors and corresponding interactions influencing clinical management assistant ability using competency model in China

The clinical management assistant (CMA) is an innovative and practical way to help manage a hospital, so the selection of CMA is important. This research is to find the influencing factors on the competency of CMA and help to select proper candidate of CMA.Based on the items of competency theory using the structural equation model, the data of 600 hospital managers from Shanghai, Guangzhou and Wuhan were identified by exploratory factor analysis and confirmatory factor analysis. In further analysis, the interactions among the factors were evaluated.A total of 20 items were identified as critical to CMA capability, which were further tested and divided into 3 factors: (1) personal characteristics; (2) competence; (3) thinking. The subsequent analysis showed that all factors had significant impact on CMA's ability, and competence contributed the most to the formation of CMA's ability, while the intermediary role of personal characteristics and thinking could not be ignored in practice. The results showed that the competency model contained these 3 factors and had the same structure as the classic competency model.This study presented a tentative approach for assessing CMA's competency, as well as provided the criteria to find and evaluate a CMA.