Lin Wang

Background: eHealth technologies have shown promise in improving the accessibility and quality of nursing research and practice. Little is known about nurses’ perception of eHealth technology that are prerequisites for the implementation of eHealth-based nursing care. Objective: We aimed to confirm the factor structure and examine the validity and reliability of the novel 19-item Perception of eHealth Technology Scale in Chinese Brief (PETS-C Brief) in Chinese nurses. The associations of sociodemographic and working-related characteristics with PETS-C Brief scores were investigated. Methods: Participants were 1409 nurses (96.8% female; mean age 34.6, SD 8.6 y) working in hospital or community settings in Shanghai, China. Confirmatory factor analysis was conducted to verify the previously reported four-factor structure of PETS-C Brief. Cronbach α was calculated for internal consistency reliability. One-month test–retest reliability was assessed in 123 participants completing the one-month follow-up survey. Associations of sociodemographic and working-related characteristics (ie, years of employment, professional title, and setting) with PETS-C Brief scores were analyzed using multivariable linear regression. Known-group validity was assessed by examining the associations of age and educational attainment with PETS-C Brief scores. Results: The goodness-of-fit of the four-factor PETS-C Brief was shown to be acceptable (comparative fit index [CFI]=0.95, standardized root mean squared residual [SRMR]=0.065, root mean square error of approximation [RMSEA]=0.074). The scale showed a good internal consistency reliability (Cronbach α =0.91) and one-month test–retest reliability (intraclass correlation coefficient=0.68, 95% CI: 0.55, 0.78). Known-group validity was supported by the inverse association of age with PETS-C Brief scores ( P =.002) and positive association of educational attainment with PETS-C Brief scores ( P for trend=.043). No significant associations were observed between working-related characteristics and PETS-C Brief scores. Conclusions: Our validation study supported the four-factor structure of PETS-C Brief with satisfactory validity and reliability in Chinese nurses, suggesting the scale could be deployed for assessing perception of eHealth technology. Future studies with larger sample, random sampling, and in other cultural settings are warranted to increase the generalizability.

The purpose of this study was to examine the prevalence of PCEs among young adults in Mainland China and the extent to which the cumulative number of PCEs moderates the associations between ACEs and flourishing in adulthood. Between August and November 2020, we used convenience and snowball sampling to recruit 9468 young adults, ages 18–35, enrolled in undergraduate or graduate programs at universities in Mainland China to participate in a survey, which included measures on flourishing, exposure to ACEs and PCEs, and demographic characteristics. Approximately 92% of participants reported experiencing seven to nine PCEs, with harmonious family relationships (96.9%), feeling supported by friends (96.8%) and being treated fairly at school (96.3%) being the most common PCEs reported. Results of the multiple regression indicated that the cumulative number of PCEs statistically significantly moderated the relation between the cumulative number of ACEs and flourishing (interaction term b = −0.060 [−0.071, −0.049], p < 0.001, adjusted R² = 0.183); as the number of ACEs increased up through eight ACEs, decreases in flourishing were smaller among those with higher numbers of PCEs. PCEs are common among young adults from Mainland China and serve a potential buffering effect against exposure to ACEs.

Adverse childhood experiences (ACEs) are prevalent, costly, and associated with poor health outcomes in adults. Little is known about ACE prevalence rates or strategies for measuring ACEs among young adults in Mainland China. The aims of this study were to (a) translate the ACE-International Questionnaire (ACE-IQ) into Simplified Chinese, (b) assess the psychometric strength of the Simplified Chinese version of the ACE-IQ (SC-ACE-IQ), and (c) compare SC-ACE-IQ scores calculated using binary and frequency scoring methods. The ACE-IQ was translated from English to Simplified Chinese and evaluated for content validity, criterion validity, and test–retest reliability. Chinese young adults (n = 566) aged 18–38 years who were health science students were recruited in Shanghai, China from May to August 2020. ACE exposures were compared using binary and frequency scoring methods, as proposed by the World Health Organization (WHO). The SC-ACE-IQ has good content validity (S-CVI = 0.89) and test–retest reliability (ICC = 0.88). SC-ACE-IQ scores were associated with depressive (binary: r = 0.26, frequency: r = 0.29; p < 0.001) and anxiety (binary: r = 0.22, frequency: r = 0.24; p < 0.001) symptoms. Higher proportion of participants reported exposure to at least one ACE and four or more ACEs when using the binary scoring method compared to the frequency scoring method. The SC-ACE-IQ is a valid and reliable ACE measure for Chinese health science students. Using frequency methods may underestimate exposure to ACEs among this population. Researchers should carefully select scoring methods for different study populations and purposes.