Correlation between crowdedness in emergency departments and anxiety in Chinese patients.

BACKGROUND: Emergency department (ED) overcrowding is a severe health care concern, while anxiety and depression rates among ED patients have been reported to be substantially higher compared to the general population. We hypothesized that anxiety due to over crowdedness may lead to adverse events in EDs. AIM: To investigate correlations between crowdedness in EDs and anxiety of patients and nurses, and to identify factors affecting their anxiety. METHODS: In this prospective observational study, a total 43 nurses and 389 emergency patients from two tier III hospitals located in Beijing were included from January 2016 to August 2017. Patients were grouped into inpatients when they were hospitalized after diagnoses, or into outpatients when they were discharged after treatments. The State Trait Anxiety Inventory (STAI Form Y) questionnaire was used to investigate patient and nurse anxieties, while crowdedness of EDs was evaluated with the National Emergency Department Over Crowding Score. RESULTS: The present results revealed that state anxiety scores (49.50 ± 6.00 vs 50.80 ± 2.80, P = 0.005) and trait anxiety scores (45.40 ± 5.70 vs 46.80 ± 2.70, P = 0.002) between inpatients (n = 173) and outpatients (n = 216) were significantly different, while the state anxiety of nurses (44.70 ± 5.80) was different from those of both patient groups. Generalized linear regression analysis demonstrated that multiple factors, including crowdedness in the ED, were associated with state and trait anxieties for both inpatients and outpatients. In addition, there was an interaction between state anxiety and trait anxieties. However, multivariable regression analysis showed that while overcrowding in the ED did not directly correlate with patients' and nurses' anxiety levels, the factors that did correlate with state and trait anxieties of inpatients were related to crowdedness. These factors included waiting time in the ED, the number of patients treated, and the number of nurses in the ED, whereas for nurses, only state and trait anxieties correlated significantly with each other. CONCLUSION: Waiting time, the number of patients treated, and the number of nurses present in the ED correlate with patient anxiety in EDs, but crowdedness has no effect on nurse or patient anxiety.

The Mediating Effect of Perceived Social Acknowledgment on the Relationship Between Patient Assaults and Posttraumatic Stress Reactions in Emergency Nurses.

This study explored whether posttraumatic stress symptoms resulted from workplace assaults were mediated by the perception of social acknowledgment by the victim. A sample of 444 emergency room nurses in China completed questionnaires measuring the frequency and types of patient assaults, the severity of physical injury, the perception of social acknowledgment, and the posttraumatic stress symptoms. Cross-sectional design, multiregression, and bootstrapping mediation analyses were used to test the hypotheses. Results showed that general disapproval and family disapproval mediated the relationship between the frequency of patient assaults and the severity of posttraumatic stress symptoms. These two factors also mediated the links between the injury severity of patient assaults and the development of posttraumatic stress symptoms. Implications for clinical practice and future research were discussed.

Changes in cardiac arrest patients' temperature management after the publication of 2015 AHA guidelines for resuscitation in China.

A survey was performed to assess the current management of targeted temperature management (TTM) in patients following cardiac arrest (CA) and whether healthcare providers will change target temperature after publication of 2015 American Heart Association guidelines for resuscitation in China. 52 hospitals were selected from whole of China between August to November 2016. All healthcare providers in EMs and/or ICUs of selected hospitals participated in the study. 1952 respondents fulfilled the survey (86.8%). TTM in CA patients was declared by 14.5% of physicians and 6.7% of the nurses. Only 4 of 64 departments, 7.8% of physicians and 5.7% of the nurses had implemented TH for CA patients. Since the publication of 2015 AHA guidelines, 33.6% of respondents declared no modification of target temperature, whereas 51.5% declared a target temperature's change in future practice. Respondents were more likely to choose 35∼36 °C-TTM (54.7%) after guidelines publication, as compared to that before guidelines publication they preferred 32∼34 °C-TTM (54.0%). TTM for CA patients was still in the early stage in China. Publication of 2015 resuscitation guidelines did have impact on choice of target temperature among healthcare providers. They preferred 35∼36 °C-TTM after guidelines publication.

[Analysis on diagnosis, treatment and influential factors in fever patients during epidemic of severe acute respiratory syndrome].

OBJECTIVE: To analyze the etiology, therapy and influential factors in fever patients during the epidemic of severe acute respiratory syndrome (SARS), so as to define early and differential diagnosis for SARS from other disease with fever. METHODS: The epidemiological and the clinical data of 4060 patients with fever admitted to the emergency department of the Third Hospital affiliated to Peking University from March 5th to May 10th in 2003 were analyzed, and their influential factors were evaluated. RESULTS: Of 4060 patients with fever 275 cases were admitted to the isolated ward, 145 cases were diagnosed as SARS (3.75 percent), 29 belonged to suspected cases, and in 101 cases SARS was ruled out. Ninety-three cases were non-SARS-pneumonia, 2 were epidemic encephalitis, 8 were epidemic cerebrospinal meningitis, and 3 cases were epidemic hemorrhagic fever. CONCLUSION: During epidemic of SARS, the etiology of fever is influenza or other virus infection in 90 percent of patients. Non-SARS-pneumonia and infectious diseases with fever accounted for certain proportion of patients with fever. Our diagnostic level should be improved. SARS could not be ruled out only by a high white blood cells count. Chest X-ray examination have to be repeated, because abnormal chest X-ray do not always appear at the same time with fever.