TY - JOUR
T1 - Can an increase in nursing care complexity raise the risk of intra-hospital and intensive care unit transfers in children? A retrospective observational study
AU - Cesare, Manuele
AU - Cocchieri, Antonello
PY - 2024
Y1 - 2024
N2 - Introduction: Intra-hospital patient transfers (IPTs) and transfers to intensive care units (ICUs) are high-risk events in pediatric care. Nursing care complexity, reflected by nursing diagnoses (NDs) and nursing actions (NAs), may influence the frequency of these transfers. This study explores the association between nursing care complexity and IPTs, including ICU transfers, in hospitalized children. Materials and methods: A retrospective observational study was conducted at a tertiary care university hospital in Italy. Data from 1013 children aged 2 to 12 years were collected from electronic health records. Sociodemographic, clinical, and nursing data, including NDs and NAs, were analyzed. Latent Class Analysis classified nursing care complexity, while backward elimination regression and binary logistic regression identified predictors of IPTs and ICU transfers. Results: Significant positive correlations were found between IPTs and both NDs (rs = 0.326, p < 0.001) and NAs (rs = 0.428, p < 0.001). Key predictors of IPTs included Diagnosis Related Groups (DRG) weight, total comorbidities, surgical DRG, the number of medications used, and high nursing care complexity. ICU-transferred patients had significantly higher nursing care complexity (6.54 vs. 3.46 NDs, p < 0.001; 31 vs. 16 NAs, p < 0.001). High nursing care complexity increased the likelihood of ICU transfer by 18 times (OR = 18.413, p < 0.001). Conclusion: Nursing care complexity strongly influences IPTs and ICU transfers. Close monitoring of patients with high nursing care complexity is essential to anticipate transfers and reduce clinical risks.
AB - Introduction: Intra-hospital patient transfers (IPTs) and transfers to intensive care units (ICUs) are high-risk events in pediatric care. Nursing care complexity, reflected by nursing diagnoses (NDs) and nursing actions (NAs), may influence the frequency of these transfers. This study explores the association between nursing care complexity and IPTs, including ICU transfers, in hospitalized children. Materials and methods: A retrospective observational study was conducted at a tertiary care university hospital in Italy. Data from 1013 children aged 2 to 12 years were collected from electronic health records. Sociodemographic, clinical, and nursing data, including NDs and NAs, were analyzed. Latent Class Analysis classified nursing care complexity, while backward elimination regression and binary logistic regression identified predictors of IPTs and ICU transfers. Results: Significant positive correlations were found between IPTs and both NDs (rs = 0.326, p < 0.001) and NAs (rs = 0.428, p < 0.001). Key predictors of IPTs included Diagnosis Related Groups (DRG) weight, total comorbidities, surgical DRG, the number of medications used, and high nursing care complexity. ICU-transferred patients had significantly higher nursing care complexity (6.54 vs. 3.46 NDs, p < 0.001; 31 vs. 16 NAs, p < 0.001). High nursing care complexity increased the likelihood of ICU transfer by 18 times (OR = 18.413, p < 0.001). Conclusion: Nursing care complexity strongly influences IPTs and ICU transfers. Close monitoring of patients with high nursing care complexity is essential to anticipate transfers and reduce clinical risks.
KW - Hospitalized child
KW - Intensive care units
KW - Nursing care complexity
KW - Nursing diagnosis
KW - Patient transfer
KW - Pediatrics
KW - Retrospective studies
KW - Hospitalized child
KW - Intensive care units
KW - Nursing care complexity
KW - Nursing diagnosis
KW - Patient transfer
KW - Pediatrics
KW - Retrospective studies
UR - https://publicatt.unicatt.it/handle/10807/299457
U2 - 10.1016/j.pedn.2024.11.015
DO - 10.1016/j.pedn.2024.11.015
M3 - Article
SN - 0882-5963
VL - 80
SP - 91
EP - 99
JO - Journal of Pediatric Nursing
JF - Journal of Pediatric Nursing
IS - N/A
ER -