BACKGROUND: Consenting to do-not-resuscitate (DNR) orders is an important and complex medical decision-making process in the treatment of patients at the end-of-life in emergency departments (EDs). The DNR decision in EDs has not been extensively studied, especially in the Chinese mainland. METHODS: This retrospective chart study of all deceased patients in the ED of a university hospital was conducted from January 2017 to December 2019. The patients with out-of-hospital cardiac arrest were excluded. RESULTS: There were 214 patients' deaths in the ED in the three years. Among them, 132 patients were included in this study, whereas 82 with out-of-hospital cardiac arrest were excluded. There were 99 (75.0%) patients' deaths after a DNR order medical decision, 64 (64.6%) patients signed the orders within 24 hours of the ED admission, 68 (68.7%) patients died within 24 hours after signing it, and 97 (98.0%) patients had DNR signed by the family surrogates. Multivariate analysis showed that four independent factors infl uenced the family surrogates' decisions to sign the DNR orders: lack of referral (odds ratio [OR] 0.157, 95% confi dence interval [CI] 0.047-0.529, P=0.003), ED length of stay (ED LOS) ≥72 hours (OR 5.889, 95% CI 1.290-26.885, P=0.022), acute myocardial infarction (AMI) (OR 0.017, 95% CI 0.001-0.279, P=0.004), and tracheal intubation (OR 0.028, 95% CI 0.007-0.120, P<0.001). CONCLUSIONS: In the Chinese mainland, the proportion of patients consenting for DNR order is lower than that of developed countries. The decision to sign DNR orders is mainly affected by referral, ED LOS, AMI, and trachea intubation.

Cardiovascular disease (CVD) is the leading cause of global mortality and disease burden. The perceived risk of CVD, a central psychological construct, may affect health behavior change and maintenance, such as lifestyle modification and medication adherence. Risk perception varies based on the knowledge of risk in the context of cultural health-world views. Little is known about CVD-related knowledge and risk perception in China. The aim of this study is to cross-culturally translate, adapt, and evaluate the psychometric properties of the Attitudes and Beliefs about Cardiovascular Disease (ABCD) Risk Perception Questionnaire in Chinese. The translation and cross-cultural adaptation process followed established guidelines. A cross-sectional study of 318 adults between April and May 2022 was conducted in Zhejiang province. The study evaluated the item- and scale-level psychometric properties and validity indices of the ABCD risk perception questionnaire. The exploratory and confirmatory factor analyses of the risk scale supported a three-factor solution that accounts for 69.63% of the total variance, corresponding to risk perception (F1), perceived benefits and intention to change physical activity (F2), and perceived benefits and intention to change dietary habits (F3). Adequate content validity (I-CVI = 0.852–1.00, S-CVI = 946) was ensured by expert panel. The internal consistency of the dimensions showed good results ranging from 0.801 to 0.940 for Cronbach's α, and 0.853 to 0.952 for McDonald’s ω. The item analysis of knowledge dimension indicated that the item difficulty index was 0.440 to 0.852, the item discrimination index was 0.572 to 0.707. This study confirmed that the Chinese version of the ABCD risk perception questionnaire has good psychometric properties in terms of measuring CVD-related knowledge and risk perception in the Chinese adult population, which can lead to the development of individually tailored CVD-risk reduction intervention programs or risk communication programs by health providers.

Background: As the last resort in intensive care units, physical restraint reduction is affected by various interventions. Several non-pharmacological interventions may directly reduce physical restraints, such as staff education, or indirectly reduce physical restraint, such as delirium prevention; however, their effectiveness has remained inconclusive. Therefore, we devised a protocol for umbrella reviews to summarize the evidence integrating data of different non-pharmacological interventions that may reduce physical restraint use. Methods: The umbrella review will be conducted following the methodology formulated by the Joanna Briggs Institute (JBI). Electronic databases, including Web of Science, PubMed, EMBASE, PsycInfo, Psyc Articles, Psychology and Behavioral Science Collection, Cumulative Index to Nursing and Allied Health Literature (CINAHL), JBISRIS (JBI Database of Systematic Reviews and Implementation Reports), Cochrane Database of Systematic Reviews, China National Knowledge Infrastructure (CNKI, for Chinese literature), SinoMed (for Chinese literature), and WANFANG DATA (for Chinese literature), will be searched to identify articles published from January 2016 to December 2020. A systematic review and metaanalysis quality will be critically assessed by AMSTAR 2 (A Measurement Tool to Assess Systematic Reviews).According to the GRADE (Grades of Recommendation, Assessment, Development, and Evaluation) guidelines, the evidence quality of each intervention will be assessed. Overlapping studies and the excess significance test will be performed to assess whether previous evidences are bias. Discussion: This protocol was devised according to the guidelines of the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P). Umbrella reviews will be an excellent supplement to the evidence of the guideline adaptation and provide a broader picture of non-pharmacological interventions that may reduce the use of physical restraint, which can provide critical care nurses in intensive care units with the evidence they need.Trial Registration: This umbrella review protocol was documented in the PROSPERO registry (CRD42021242586).

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ObjectiveRisk perception, a critical psychological construct, influences health behavior modification and maintenance of individuals with cardiovascular disease (CVD) risk. Little is known about CVD risk perception among Chinese adults. This research examined the profiles of CVD risk perception of community adults in South China, and explored the characteristics and factors that influence their perception of CVD risk.MethodThis cross-sectional study was conducted in Hangzhou, Zhejiang Province, in South China from March to July 2022 and included 692 participants. Risk perception was assessed using the Chinese version of the Attitude and Beliefs about Cardiovascular Disease Risk Questionnaire. Latent profile analysis (LPA) was performed to extract latent classes of CVD risk perception. These classes of CVD risk perception were compared with 10-year CVD risk categories to define correctness of estimation. Chi-square tests and multinomial regression analyses were used to identify differences between these categories.ResultsThree CVD risk perception classes were identified by LPA: low risk perception (14.2% of participants), moderate risk perception (46.8%), high risk perception (39.0%). Individuals who were aged with 40–60 year (OR = 6.94, 95% CI = 1.86–25.84), diabetes (OR = 6.26, 95% CI = 1.34–29.17), married (OR = 4.52, 95% CI = 2.30–8.90), better subjective health status (OR = 3.23, 95% CI = 1.15–9.10) and perceived benefits and intention to change physical activity (OR = 1.16, 95% CI = 1.05–1.27) were more likely to be in the high-risk perception class. Compared to absolute 10-year CVD risk based on China-PAR, a third of participants (30.1%) correctly estimated their CVD risk, 63.3% overestimated it and 6.6% underestimated it. CVD risk underestimation was associated with hypertension (OR = 3.91, 95% CI = 1.79–8.54), drinking (OR = 3.05, 95% CI = 1.22–7.64), better subjective health status (OR = 2.67, 95% CI = 1.18–6.03).ConclusionsMost adults in South China possess a moderate level of CVD risk perception. Advanced age, higher monthly income, diabetes and better health status were significantly related to higher perceived CVD risk. Individuals with hypertension, drinking and better subjective health status were associated with CVD risk underestimation. Healthcare professionals should pay attention to the indicators for different classes and identify underestimation group as early as possible.