RESUMO
Objective:To explore the influencing factors of turnover intention of pre-hospital emergency nurses in Beijing, and provide references for reducing the turnover rate of pre-hospital emergency nurses and stabilizing the pre-hospital emergency nursing team.Methods:Pre-hospital emergency nurses from 2 emergency centers in Beijing were selected as the survey objects, and a self-designed questionnaire was used to conduct an online survey in September 2019. The questionnaire covered such aspects as the main demographic characteristics, workload, doctor-patient relationship, professional identity, job burnout and turnover intention. Descriptive analysis was conducted for the data, while rank-sum test and Kappa consistency test were used for univariate analysis, and ordered logistic regression analysis was used for multivariate analysis.Results:A total of 340 valid questionnaires were received, among which 41.5% (141) of the nurses said that they occasionally considered quitting, 11.7% (40) said they often considered quitting, while the scoring of professional identity was (33.29±6.00), and that of job burnout was (63.70±14.90). Univariate analysis showed that age, work units, self-rated health status, professional identity, job burnout, seniority, workload, doctor-patient relationship, and pressure of title promotion were significant ( P<0.05). The results of multivariate analysis showed that job burnout, average number of car trips per shift, and self-rated health status were positively correlated with turnover intention, while professional identity was negatively correlated with turnover intention ( P<0.05). Conclusions:The turnover intention of pre-hospital emergency nurses in Beijing was found at a high level. The authorities are recommended to rationalize the scheduling system and increase the staffing of pre-hospital emergency nurses; establish the diversion policy, title promotion system and post risk special allowance for such nurses; and train medical aid workers to undertake the transfer and lifting of patients, so as to reduce the turnover intention of these nurses.
RESUMO
There are some common analysis challenges in the hormone detection in agriculture science, including matrix interference, complicated sample preparation, poor reproducibility, trace analyte content. An automated on-line SPE and innovative fast polarity switch analysis method employing dual-gradient liquid chromatography ( DGLC ) coupled with tandem mass spectrometry ( DGLC-MS/MS ) was established and validated for the simultaneous determination of gibberellic acid ( GA3 ) , indole acetic acid ( IAA ) , zeatin ( ZT) and abscisic acid ( ABA) in the soybean plant ( leaf, grain and pod) . The method was applied in the actual sample detection successfully. In order to acquire higher sensitivity, recovery, stability and precision, some conditions including SPE column, analytical column, mobile phase, additive etc were optimized according to the selection and retain of hormone. Beans were cryogenically grinded by liquid nitrogen, extracted by 80% methanol, certrifugatel and dilluted with water, and then injected directly. Samples were transported and gradient eluted on the analytical column Acclaim PA2 by 0 . 1% formic acid in water and methanol, after retaining and separation on the SPE column Hypersep Retain AX. All analytes were detected in selection reaction monitoring ( SRM) mode in both positive and negative channels. The quantification was based on linear regression. The linear ranges of GA3, IAA and ZT were 0. 1-50 μg/L with the LOQ of 0. 0002 μg/g, and the linear of ABA was 0. 5-50 μg/L with the LOQ of 0. 0010μg/g. The recoveries of four kinds of plants hormones were 76 . 1%-93 . 5%, and RSDs were 0 . 82%-6 . 02% at low ( 0 . 8 μg/L ) , medium (4. 0μg/L) and high (40μg/L). The results noted that the content of ABA in seeds was apparently higher than others. This method could be used for the rapid and accurate detection of hormone in different parts of soya beans.