Online digital health and informatics education for undergraduate nursing students in China: impacts and recommendations.

BACKGROUND: Digital health plays a vital role in healthcare services. Governments in many countries, including China, are increasingly advocating for the appropriate use of digital technologies to address significant health system challenges. It is crucial to incorporate digital health education into the curriculum for future nurses to adapt to the changes in the digital medical system. This study aimed to evaluate the impact of an online Digital Health and Informatics Course in China on the knowledge and comprehension of key digital health and informatics topics, self-assessment of nursing informatics competencies, and satisfaction among undergraduate nursing students. The findings of this study provide recommendations for the design and implementation of future digital health education. METHODS: This study employed a one-group, quasi-experimental mixed-methods design with pre- and post-assessments. The participants received digital health and informatics education through six three-hour online sessions in six interactive days, with online self-learning materials in between. An online quiz and focus group discussions pre- and post the course were designed to evaluate the knowledge and comprehension of key digital health and informatics topics. Also, a validated Chinese version of the Self-assessment of Nursing Informatics Competencies Scale was conducted pre- and post-course to assess self-assessment of nursing informatics competencies. Additionally, all students were invited to participate in an online survey with a performance-focused course evaluation form as well as focus group discussions to gather their feedback on the learning experience and their evaluations of the course. RESULTS: A total of 24 undergraduate nursing students were enrolled in the course. All students completed all sessions of this course, resulting in an attendance rate of 100%. Additionally, all students completed both pre- and post-assessments. In terms of the knowledge and comprehension of key digital health and informatics topics, scores of the quiz on knowledge assessment improved from the pre-test [mean pretest score: 78.33 (SD 6.005)] to the post-test [mean post-test score: 83.17 (SD 4.86)] upon completion of the course (P < 0.001). Also, students acknowledged that the course enhanced their knowledge and comprehension of informatics and digital health, the benefits of (nursing) informatics in clinical practice, and the role of health care professionals in informatics and digital health. In terms of self-assessment of nursing informatics competencies, scores on nursing informatics attitudes demonstrated significant improvement (P < 0.001). Furthermore, students reported high satisfaction with various aspects of this course, including the opportunity to explore broad horizons in informatics for future careers, engaging in group discussions, and analyzing case studies on the use of informatics and digital health in clinical practice. CONCLUSIONS: This Online Digital Health and Informatics education effectively improved undergraduate nursing students' knowledge and comprehension of the key digital health and informatics topics, nursing informatics attitudes in the self-assessment of nursing informatics competency with high levels of satisfaction. In order to ensure that future education in digital health and informatics for nursing students is in line with the technological advancements in clinical settings, it is necessary to foster collaboration between medical school training and clinical practice. This collaboration should involve the use of clinical examples to illustrate advanced digital health applications and the inclusion of practical exercises on the use of digital health technology in clinical settings.

The mediating effect of eHealth literacy on the relationship between health personality and quality of life in community-dwelling older adults.

AIMS: To explore the relationship between health personality and quality of life among community-dwelling older adults and to examine the mediating effect of eHealth literacy on this relationship. METHODS: A total of 413 community-dwelling older adults from central China were recruited from September 2022 to January 2023. A cross-sectional investigation was conducted using the Chinese versions of the Health Personality Assessment (HPA), eHealth Literacy Scale (eHEALS), and 12-item Short Form Health Survey (SF-12). Correlations between the three variables were examined by Pearson analysis, and mediation analysis was conducted to explore the direct, indirect, and total effects of the health personality on quality of life vis-à-vis eHealth literacy. RESULTS: Health personality factors (including health neuroticism, health openness, and health conscientiousness), eHealth literacy, and quality of life are significantly correlated (P<0.05); eHealth literacy can play a significant mediating role in the relationship between health neuroticism (ß= -0.256, 95 %CI: [-0.405, -0.119]), health openness (ß = 0.488, 95 % CI: [0.343,0.652]), health conscientiousness (ß= 0.489, 95 % CI: [0.354, 0.634]) and quality of life. CONCLUSION: This study revealed that the effect of health personality factors (including health neuroticism, health openness, and health conscientiousness) on quality of life in older adults was mediated through eHealth literacy. IMPACT: Individual personality is essential to understanding eHealth literacy and quality of life among community-dwelling older adults. It may be helpful to identify the health personality traits of older adults first, then implement targeted interventions accordingly to enhance eHealth literacy and ultimately improve quality of life.

Cross-cultural adaptation and psychometric evaluation of the Health Personality Assessment for Chinese older adults.

INTRODUCTION: The Health Personality Assessment (HPA) is a reliable and brief instrument to evaluating personality in the health domain, but it has not been used in China. OBJECTIVES: To cross-culturally adapt and evaluate the psychometric property of HPA among Chinese older adults. METHODS: The Chinese version of HPA was generated following Beaton's guidelines. The psychometric evaluation of the HPA was conducted on 482 community-dwelling older adults. RESULTS: The Chinese version of HPA showed good internal consistency, item-total correlations, criterion validity, and test-retest reliability within a 2-week interval. Results of confirmatory factor analysis indicated a satisfactory model fit, convergent validity and discriminant validity were also in the acceptable range. CONCLUSIONS: HPA showed good reliability and validity among the Chinese population. The generalization of the HPA may provide a new tool for health practitioners from the personality perspective.

The serial mediating effects of social isolation and resilience on the relationship between fear of dementia and insomnia in community-dwelling older adults.

AIMS: This study aims to explore the correlation between fear of dementia and insomnia among community-dwelling older adults and to examine the mediating roles of social isolation and resilience on this correlation. METHODS: A total of 259 community-dwelling older adults from Mianyang, China were recruited from June 2021 to August 2021 using convenience sampling. The Chinese versions of the Fear of Dementia Scale (FODS), Lubben Social Network Scale (LSNS-6), 25-item Connor-Davidson Resilience Scale (CD-RISC-25) and Athens Insomnia Scale (AIS) were used to collect specific, study-related information from the subjects. Correlations between variables of interest were examined by Pearson analysis, and mediation analysis was conducted to explore the direct, indirect and total effects of the fear of dementia on insomnia vis-à-vis social isolation and resilience. RESULTS: Results from 259 older adults indicated that fear of dementia and insomnia in older adults are positively correlated, that social isolation and resilience mediate the relationship between them, and that social isolation and resilience also had a statistically significant serial mediating effect. CONCLUSION: Fear of dementia is positively related to insomnia in older community-dwelling Chinese adults, but resilience and social support may buffer the negative impact of fear of dementia and improve sleep quality. IMPACT: Fear of dementia is becoming more and more common in community-dwelling older adults in China, and this emotional response to ageing and disease anxiety may be to blame for the poor sleep quality of some ageing populations. However, social support and resilience may buffer the negative impact of fear of dementia. The findings in this study indicate a need for well-trained community nurses and other health practitioners to implement targeted strategies to reduce insomnia among older adults with fear of dementia. These strategies should strengthen resilience as well as social support.