Intervention effect of non-invasive brain stimulation on cognitive functions among people with traumatic brain injury : a systematic review and meta-analysis

202110 bcvcVersion of RecordPublishe

Predictors of covid-19 stress and covid-19 vaccination acceptance among adolescents in Ghana

202309 bcvcVersion of RecordOthersE-Da HospitalPublishe

Examining the validity of the drivers of COVID-19 vaccination acceptance scale using Rasch analysis

202208 bckwNot applicableOthersThis manuscript was funded by a research grant from the Ministry of Science and Technology, Taiwan [MOST109-2327-B-006-005] and a research grant from the Taipei Municipal Wanfang Hospital Cross-Institutions Fundrc[110-swf-01]Published12 month

Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S): evidence of measurement invariance across five countries

Purpose: The percentage of individuals who were fully vaccinated against COVID-19 was 53% worldwide, 62% in Asia, and 11% in Africa at the time of writing (February 9, 2022). In addition to administrative issues, vaccine hesitancy is an important factor contributing to the relatively low rate of vaccination. The Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S) was developed to assess COVID-19 vaccination acceptance levels. However, it has only been tested among Taiwanese, mainland Chinese, and Ghanaian populations (Chen et al, 2021; Fan et al, 2021; Yeh et al, 2021). Therefore, the present study examined the construct validity and measurement invariance of the MoVac-COVID19S among individuals from five countries (ie, Taiwan, mainland China, India, Ghana, and Afghanistan). Participants and Methods: A cross-sectional survey study recruited 6053 participants across five countries who completed the survey between January and March 2021. Confirmatory factor analysis (CFA) fit indices were used to examine factor structure and measurement invariance across the five countries. Results: The fit indices of the CFA were relatively good across the countries except for the root mean square error of approximation (RMSEA). Moreover, the four-factor structure (either nine or 12 items) had a better fit than the one-factor structure. However, the four-factor model using nine MoVac-COVID19S items was the only model that had measurement invariance support for both factor loadings and item intercepts across the five countries. Conclusion: The present study confirmed that the MoVac-COVID19S has acceptable psychometric properties and can be used to assess an individual’s willingness to get COVID-19 vaccinatio