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Maternal and infant predictors of attendance at Neonatal Follow-Up programmes.
- Source :
- Child: Care, Health & Development; Mar2014, Vol. 40 Issue 2, p250-258, 9p, 1 Diagram, 4 Charts
- Publication Year :
- 2014
-
Abstract
- Background Neonatal Follow-Up ( NFU) programmes provide health services for families of infants at high risk of developmental problems following difficult or extremely premature birth: yet, up to 30% of families do not attend these programmes with their infants. Methods The study objective was to determine maternal and infant factors that predicted attendance at NFU programmes. Utilizing Andersen's Behavioural Model of Health Services Use, a prospective two-phase multi-site descriptive cohort study was conducted in three Canadian Neonatal Intensive Care Units ( NICU) that refer to two affiliated NFU programmes. In Phase 1, 357 mothers completed standardized questionnaires that addressed maternal and infant factors, prior to their infants' NICU discharge. In Phase 2, attendance at NFU was followed at three time points over a 12-month period. Factors of interest included predisposing factors (e.g. demographic characteristics and social context); enabling factors (e.g. social support, travel distance, and income); and infant illness severity (i.e. needs factors). Multivariate logistic regression was used to estimate the odds ratio for each independent factor. Results Mothers parenting alone, experiencing higher levels of worry about maternal alcohol or drug use, or at greater distances from NFU were less likely to attend. Mothers experiencing higher maternal stress at the time of the infant's NICU hospitalization were more likely to attend NFU. No infant factors were predictive of NFU attendance. Conclusions Mothers at risk of not attending NFU programmes with their infants require better identification, triage, referral and additional support to promote engagement with NFU programmes and improved quality of life for their high-risk infants. [ABSTRACT FROM AUTHOR]
- Subjects :
- CHI-squared test
CHILDREN'S hospitals
CONFIDENCE intervals
STATISTICAL correlation
DEVELOPMENTAL disabilities
EPIDEMIOLOGY
FISHER exact test
PATIENT aftercare
PREMATURE infants
LONGITUDINAL method
MATERNAL health services
MOTHERS
NEONATAL intensive care
PROBABILITY theory
PSYCHOLOGICAL tests
QUESTIONNAIRES
RESEARCH funding
SOCIAL networks
STATISTICS
DATA analysis
MULTIPLE regression analysis
NEONATAL intensive care units
DATA analysis software
DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 03051862
- Volume :
- 40
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Child: Care, Health & Development
- Publication Type :
- Academic Journal
- Accession number :
- 94447576
- Full Text :
- https://doi.org/10.1111/cch.12015