Risk and prediction of job burnout in responding nurses to public health emergencies.
| Publicado en: | BMC Nursing Vol. 23; no. 1; pp. 1 - 14 |
|---|---|
| Autores principales: | , , , , , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
BioMed Central
1/17/2024
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=174839947&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 174839947 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14726955 1CIA jtl: BMC Nursing issn: 14726955 maglogo: N pubinfo: dt: 1/17/2024 vid: 23 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 174839947 174839947 174839947 10.1186/s12912-024-01714-5 174839947 ppf: 1 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Risk and prediction of job burnout in responding nurses to public health emergencies. aug: au: Wang, Lu Zhang, Xiaohong Zhang, Meng Wang, Lei Tong, Xiaoru Song, Na Hou, Junyi Xiao, Juan Xiao, Hong Hu, Tingting affil: https://ror.org/02dx2xm20 Nursing Department, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China sug: subj: Emergency Nurses Psychosocial Factors Burnout, Professional Risk Factors Public Health Emergencies Risk Assessment Human Cross Sectional Studies China Cluster Sample Stress Disorders, Post-Traumatic Logistic Regression ROC Curve Descriptive Statistics Adult Discrimination Male Female Funding Source Scales Adult: 19-44 years Male Female pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|