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Abstract: Background: As cardiovascular diseases have become the leading cause of death in many countries including China, nurses are increasingly required to be abreast of technological advances and the skills necessary to manage this increasing health care problem. Chinese nurses are under pressure to provide skilled electrocardiography monitoring, and be sufficiently skilled to detect myocardial ischemia and infarction, in this large patient population. This presents a challenge for the nursing profession in China, particularly for nurses working in coronary care in a country where advancement has been so rapid, yet little research has been conducted or reported in the literature. Objectives: The two main objectives were: to explore the demographic and educational factors that affect the use of ST-segment monitoring and correct electrode placement by CCU/ICU nurses in China; and to explore the factors both individual and institutional that affect monitoring and lead placement. Methods: A self-administered questionnaire was distributed to nurses in 126 randomly selected tertiary hospitals, which were stratified into three homogeneous regions across China. The instrument examined demographics, information about hospitals, electrocardiogram devices, current practice patterns and perceptions toward monitoring and lead placement. Data from 734 nurses and 59 nurse managers from 59 hospitals were analyzed using t-tests, ANOVA, Chi-square test and logistic regression. Results: Electrocardiogram monitoring was used to detect myocardial ischemia by 43.7% of respondents, and 35.1% selected leads according to electrocardiogram or angiography findings. Most (70%) agreed that monitoring for acute coronary syndrome was important, while 39.2% did so, and 15.7% were able to identify correct placement. Logistic regression revealed a significant relationship between the uses of ST-segment monitoring and number of hospital beds, continuing education and a belief in its use and ease of use. Correct electrode placement was significantly correlated with respondents from university hospitals, hospitals with more acute coronary syndrome admissions and more independent thinking nurses. Conclusions: Despite best practice evidence, less than half of the sample used electrocardiogram monitoring to detect myocardial ischemia and the majority could not identify correct electrode placement, while ST-segment monitoring was not used routinely. This paper highlights the need for improvements in education both in universities and hospitals and discussion addresses conventions in units, which inhibit development of nurses’ skills. [Copyright &y& Elsevier]

There is an increasing interest in using ordinal data collection methods, such as the best-worst scaling (BWS), to develop preference-based tariffs (value sets) for health-related quality of life instruments, yet the evidence on their performance is limited. This paper proposed to use an anchored BWS technique (in which the state of "death" served as an anchoring state) to directly develop a utility weight that lies on a scale anchored at 0 = death and 1 = full health for the Simplified Chinese version of the Short Form 6 Dimension version 2 (SF-6Dv2). An online panel from the general population of Mainland China completed an online survey between 20th July and 19th August, 2019 and 463 respondents were included in the main analysis. The Conditional Logit (CL) model, which assumes a homogeneous preference, as well as a Hierarchical Bayes (HB) model, which accounts for preference heterogeneity, were used to analyze the BWS data. The model performances were evaluated based on monotonicity and model-fit statistics. The majority of respondents indicated that the BWS questions were easy to understand and complete. Initial analyses suggested that the best and worst choices should not be pooled together. Based on model fit statistics of separated estimations and previous literature on health state valuation studies using BWS, the best choices were used for developing the final algorithm. The HB estimates were found to have better model performance than the CL estimates. This study provides an essential insight into using an anchored BWS approach in health state valuation. Furthermore, it demonstrates the advantage of using HB compared to the traditional CL model in producing preference values. • An anchored best-worst scaling technique has been used to develop preference weights directly. • Accounting for individual heterogeneity leads to a better model fit. • Incorporating respondents' views of attribute importance can improve model performance. • A Chinese online-panel-based scoring algorithm for SF-6Dv2 is developed. [ABSTRACT FROM AUTHOR]

• Explore the effect of work-family conflict on parenting stress for ADHD families. • Identify work-family conflict as a potent contributor to parenting stress. • Non-working parents have higher parenting stress than employed parents do. • Chinese mothers experience higher parenting stress than fathers do. • More research is needed given the absence of work and parenting stress research. This paper reports the results of a one-time survey among Chinese families of children with attention-deficit/hyperactivity disorder (ADHD) (n = 314) and families with typically developing (TD) children (n = 308) in mainland China, which aimed to examine the effects of the parenting role, work-family conflict, child ADHD symptoms, parental depression, anxiety, and somatization, parenting alliance, and social support on parenting stress. The results of the study have shown that (i) parents of children with ADHD experienced significantly higher levels of parenting stress than did parents of TD children; Chinese mothers experienced significantly higher parenting stress than fathers did; (ii) mothers of children with ADHD had more work-family conflict than mothers of TD children did; (iii) non-working parents had higher levels of parenting stress than the employed parents did; (iv) work-family conflict, depression, anxiety, and somatization, child ADHD symptoms, parenting role, and social support accounted for 40.9% of the variance in parenting stress; parenting alliances did not approach significance in the regression. Implications for social work practice and service development are discussed. [ABSTRACT FROM AUTHOR]