Literature DB >> 17278681

The Manitoba Healthy Baby Prenatal Benefit Program: who is participating?

Marni D Brownell1, Anne Guevremont, Wendy Au, Monica Sirski.   

Abstract

BACKGROUND: Programs offering income supplements for lower-income pregnant women have been introduced in order to reduce the incidence of poor perinatal outcomes. This study used a population-based approach to examine the characteristics of mothers who received the Healthy Baby Prenatal Benefit in Manitoba.
METHODS: All women giving birth between August 2001 and April 2003 (n = 22,643) were studied using de-identified linked administrative data. Multivariate logistic regression was used to determine factors that predicted receipt of the benefit, adjusting for potential confounding effects. Separate regressions were run for all mothers, and for a group of mothers eligible to receive the benefit (N = 1962).
RESULTS: Almost 29% of mothers giving birth during the study period received the prenatal benefit. Mothers were more likely to receive the benefit if they: lived outside of Winnipeg; received income assistance during pregnancy; were younger at their first birth; were unmarried; made prenatal physician visits; experienced maternal depression; were having a first birth; and lived in the lowest income areas. Despite all being eligible, only 67% of non-Winnipeg and 80% of Winnipeg women receiving income assistance received the benefit. Factors related to benefit receipt for those eligible were: living in Winnipeg; making prenatal visits; not being a young teen at current birth; and experiencing a first birth.
CONCLUSION: It is important to look not only at the characteristics of benefit recipients but also at those not receiving the benefit, in order to develop strategies to reach those who may most need and benefit from the program.

Entities:  

Mesh:

Year:  2007        PMID: 17278681      PMCID: PMC6975739     

Source DB:  PubMed          Journal:  Can J Public Health        ISSN: 0008-4263


  17 in total

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Journal:  Am J Public Health       Date:  2003-01       Impact factor: 9.308

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Journal:  Can J Public Health       Date:  2002 Nov-Dec

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Journal:  Am J Public Health       Date:  1994-09       Impact factor: 9.308

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Authors:  M D Kogan; J A Martin; G R Alexander; M Kotelchuck; S J Ventura; F D Frigoletto
Journal:  JAMA       Date:  1998-05-27       Impact factor: 56.272

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Authors:  D Rush
Journal:  Can Med Assoc J       Date:  1981-09-15       Impact factor: 8.262

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