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Predictors of Mother and Infant Emergency Department Attendance and Admission: A Prospective Observational Study.
- Source :
- Maternal & Child Health Journal; Mar2023, Vol. 27 Issue 3, p527-537, 11p, 4 Charts
- Publication Year :
- 2023
-
Abstract
- Objective: To explore the predictors of emergency department attendance and admission for mothers and their infants. Methods: Self-reported emergency department (ED) attendance and admission, sociodemographic, mental health, and other measures were recorded at baseline and at 12 months at 4 sites in England between May 2017 and March 2020. Results: Infants' gestational age (OR 0.73, 95% CI 0.61 to 0.88, p = 0.001), mothers' mental health (OR 2.40, 95% CI 1.30 to 4.41, p = 0.005) and mothers' attendance at ED (OR 2.34, 95% CI 1.13 to 4.84, p = 0.022) predicted infant ED attendance. Frequency of attendance was predicted by ED site (IRR 0.46, 95% CI 0.29 to 0.73, p = 0.001) and mothers' age (IRR 0.96, 95% CI 0.92 to 1.00, p = 0.028). Infant hospital admissions were predominantly for respiratory (40%) and other infectious diseases (21%) and were predicted by previous health problems (OR 3.25, 95% CI 1.76 to 6.01, p < 0.001). Mothers' ED attendance was predicted by mixed or multiple ethnic origin (OR 9.62, 95% CI 2.19 to 42.27, p = 0.003), having a male infant (OR 2.08, 95% CI 1.03 to 4.20, p = 0.042), and previous hospitalisation (OR 4.15, 95% CI 1.81 to 9.56, p = 0.001). Hospital admission was largely for reproductive health issues (61%) with frequency predicted by having attended the ED at least once (IRR 3.39, 95% CI 1.66 to 6.93, p = 0.001), and being anxious or depressed (IRR 3.10, 95% CI 1.14 to 8.45, p = 0.027). Conclusions for Practice: Improving the reproductive and mental health of mothers may help to avoid poor maternal and infant health outcomes and reduce emergency service utilisation and hospitalisation. [ABSTRACT FROM AUTHOR]
- Subjects :
- MOTHERS
STATISTICS
HOSPITAL emergency services
SCIENTIFIC observation
CONFIDENCE intervals
SELF-evaluation
MULTIVARIATE analysis
MULTIPLE regression analysis
MOTHER-infant relationship
MENTAL health
GESTATIONAL age
ETHICS committees
HOSPITAL care
RESEARCH funding
DESCRIPTIVE statistics
SOCIODEMOGRAPHIC factors
ODDS ratio
LOGISTIC regression analysis
DATA analysis software
REPRODUCTIVE health
LONGITUDINAL method
PROBABILITY theory
Subjects
Details
- Language :
- English
- ISSN :
- 10927875
- Volume :
- 27
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Maternal & Child Health Journal
- Publication Type :
- Academic Journal
- Accession number :
- 162260483
- Full Text :
- https://doi.org/10.1007/s10995-022-03581-5