Search

Aim: To identify potential categories of clinical belonging among new nurses and explore the relationship between different categories and turnover intention. Design: A cross sectional study. Method: A cross sectional study was conducted among 348 new nurses from tertiary hospitals in Hainan and Guangdong provinces. A general data questionnaire, clinical belonging scale and turnover intention scale were used for examination. Further, the potential categories were used to analyse the categories of clinical belonging, and latent class analysis was utilized to analyse the relationship between different categories of clinical belonging and turnover intention. Results: The clinical sense of belonging of new nurses were divided into three groups namely C1, C2 and C3. The C1: poor clinical sense of belonging (8.7%), C2: moderate clinical sense of belonging (57.9%) and C3: rich clinical sense of belonging (33.4%). The risk of the turnover intention of new nurses with 'poor clinical sense of belonging' was 0.62 times that of new nurses with 'rich clinical sense of belonging' (OR = 0.62, p < 0.01), which was 0.24 times that of 'moderate clinical sense of belonging' (OR = 0.24, p < 0.01), the risk of the turnover intention of new nurses with 'moderate clinical sense of belonging' was 0.13 times that of new nurses with 'rich clinical sense of belonging'(OR = 0. 13, p < 0.01). Conclusions: The results of our study revealed that in order to enhance the new nurses' sense of belonging, support was most crucial when they were first encountering difficulties. To reduce turnover intention, more structured learning opportunities are also required to maximize learning for newly graduated nurses with various nursing degrees. Patient or Public Contribution: There are no patient or public contributions in this study. [ABSTRACT FROM AUTHOR]

To explore the approaches and diagnostic yield of genetic testing for renal disease in children, we describe the genotype and phenotype of the national cohort of children with renal disease from 13 different regions of China recruited from 2014 to 2018 by building up the multicenter registration system (Chinese Children Genetic Kidney Disease Database, CCGKDD). Genetic diagnosis was confirmed in 42.1% of our cohort of 1001 pediatric patients with clinical suspicion of a genetic renal disease. Of the 106 distinct monogenetic disorders detected, 15 accounted for 60.7% of genetic diagnoses. The diagnostic yield was 29.1% in steroid resistant nephritic syndrome (SRNS), 61.4% in cystic renal disease, 17.0% in congenital anomalies of the kidney and urinary tract (CAKUT), 62.3% in renal tubular disease/renal calcinosis, and 23.9% for chronic kidney disease (CKD) 3 to 5 stage with unknown origin. Genetic approaches of target gene sequence (TGS), singleton whole‐exome sequencing (WES) and trio‐WES were performed with diagnostic rates of 44.8%, 36.2%, and 42.6%, respectively. The early use of trio‐WES could improve the diagnostic rate especially in renal tubular disease and calcinosis. We report the genetic spectrum of Chinese children with renal disease. Establishment of the CCGKDD will improve the genetic work on renal disease. [ABSTRACT FROM AUTHOR]