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This study aimed to understand nurses' perceptions of COVID-19-related policies and risks during the outbreak of COVID-19 in Hong Kong and to determine how their perceptions influenced their mental health status. A web-based online survey among Hong Kong nurses was conducted. The questionnaire included a self-designed 5-point Likert scale with 17 items to assess the nurses' perceptions of COVID-19-related policies and risks, as well as the Davidson Trauma Scale (DTS), the Perceived Stress Scale (PSS), the Patient Health Questionnaire-2 (PHQ-2) and the Generalised Anxiety Disorder scale (GAD) for measurement of posttraumatic stress disorder (PTSD), stress, depression and anxiety, respectively. Of 592 nurses enrolled, 30.6% had PTSD (DTS total score ≥40), and 80.4%, 19.9% and 16.4% had moderate-to-high levels of stress (PSS-10 score ≥14), depression (PHQ-2 score ≥3) and anxiety (GAD score ≥3), respectively. The top three concerned aspects were 'worried about themselves and friends to suffer this disease' (84.5%), 'insufficient number of isolation wards' (81.8%) and 'insufficient number of personal protective equipment' (74.3%). Logistic regression analyses showed that more negative perception on 'personal protective equipment in the healthcare institutions', 'the confidence in HK's control of COVID-19', 'worried about themselves and friends to suffer this disease' and 'self-perceived risk of infection' indicated higher severity of the four mental health problems (all p < 0.01). The perception on 'public gathering ban', 'the number of isolation wards' and 'expected time to control COVID-19' were significantly associated with PTSD and stress (all p < 0.05). Nurses' perception on government policies and COVID-19 risks played an important role in predicting their mental health status. Policy makers should be aware of nurses' psychological responses and provide timely and targeted emotional support to nurses amid and after the COVID-19 pandemic.
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Background: Given the importance of diabetic kidney disease (DKD) management, this study aims to explore the knowledge, attitudes, and practices in disease management demonstrated by healthcare workers from the nephrology department. Materials and Methods: This study is a multi-centered cross-sectional study, and adopts snowball sampling, with 530 healthcare workers being recruited to complete a questionnaire covering areas such as demographic characteristics, knowledge, attitude, and practices (KAP) of DKD management. This data was analyzed using descriptive statistics and binary logistics analysis. Results: In this study, 530 healthcare workers were studied, including 94 doctors and 436 nurses. The participants were mainly from general tertiary hospitals in 14 provinces. For Chinese nurse, the results indicate that both poor knowledge level (Odds Ratio (OR) =0.63, 95% Confidence Interval (CI): 0.42-0.94) and having experience in further medical training in nephrology (OR=1.92, 95% CI: 1.20-3.08) are associated with the practice levels. For Chinese doctors, having not experience in further medical training in nephrology (OR=0.36, 95% CI: 0.15-0.83) are associated with their practice levels. Conclusion: In summary, Chinese doctors and nurses in this study showed positive attitudes towards DKD management, but their knowledge and practical skills were lacking. This underscores a notable gap in achieving optimal DKD care. Notably, nurses' knowledge influenced their management practices, and additional nephrology training correlated with better engagement. To improve patient care, enhancing nephrology healthcare professional training and addressing knowledge-practice disparities are recommended.
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Purpose: The research on symptom management in patients with diabetic kidney disease (DKD) has shifted from separate symptoms to symptom clusters and networks recently. This study aimed to evaluate the unpleasant symptoms of DKD patients, and to investigate how these symptom clusters could affect patients. Methods: 408 DKD patients were recruited in this cross-sectional study. The symptoms of DKD patients were measured using the modified Dialysis Symptom Index. Network analysis was employed to evaluate the symptom network and the characteristics of individual nodes, while factor analysis was utilized to identify symptom clusters. Results: Blurred vision was the most prevalent symptom among DKD patients. The symptoms identified as the most distressing, severe, and frequent were light headache or dizziness, arteriovenous fistula/catheterization pain, and diarrhea, respectively. Five symptom clusters were obtained from factor analysis, and the most central symptom cluster in the entire symptom network was sexual dysfunction. Conclusion: This study identified five symptom clusters in Chinese DKD patients, with sexual dysfunction emerging as the most central cluster. These findings carry significant clinical implications, underscoring the necessity of assessing symptom clusters and their associations to enhance symptom management in DKD patients. Further research is essential to elucidate the underlying mechanisms of symptoms and to clarify the associations among symptoms in DKD patients across different disease trajectories or treatment modalities.
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Objective: This study aimed to examine the prevalence and features of migraine and explore the possible migraine triggers in a sample of university nursing students in Hong Kong. Methods: A cross-sectional study using self-administered questionnaires was conducted in the Hong Kong Polytechnic University in 2016. The questionnaire included ID Migraine™ for migraine screening and items measuring the frequency, duration, severity, associated symptoms, and trigger factors of migraine. Years 2-5 undergraduate nursing students from the university completed the questionnaires. Binary logistic regression was conducted to examine the migraine-associated factors. Results: A total of 702 nursing students, including 168 males and 534 females, were successfully screened. Their mean age was 20.8 ± 1.4 years. The overall prevalence of migraine reached 11.8%. Over half (67.5%) of the students with migraine experienced attacks at least once per month. Each attack had a median duration of 3 h (interquartile range: 1-4 h) and the mean pain intensity score of 6.4 ± 1.6. Students with a family history of migraine (adjusted odds ratio [OR]: 1.89; 95% confidence interval [CI]: 1.10, 3.25; p < 0.05) and poor general health status (Adjusted OR: 3.41, 95% CI: 1.05, 11.09; p < 0.05) were more likely to suffer from migraine than those without. The three most common migraine triggers were the lack of sleep (94.0%), change in sleep schedule (83.1%), and noise (81.9%). Female students were more likely to experience fatigue-triggered migraine than male students (85.9% vs 63.2%, p < 0.05). Conclusion: Migraine prevalence was relatively high among undergraduate nursing students in Hong Kong. Sleep problem was the most frequent trigger factor. The students' awareness of migraine attacks should be increased, and migraine management must be improved by avoiding common trigger factors in this population.
