Cristian I Meghea1, Zhiying You2, Jennifer Raffo3, Richard E Leach4, Lee Anne Roman4. 1. Institute for Health Policy, Michigan State University; Department of Obstetrics, Gynecology, and Reproductive Biology, Michigan State University, East Lansing, Michigan; Babes-Bolyai University, Cluj-Napoca, Romania; cristian.meghea@hc.msu.edu. 2. Institute for Health Policy, Michigan State University; 3. Department of Obstetrics, Gynecology, and Reproductive Biology, Michigan State University, East Lansing, Michigan; 4. Department of Obstetrics, Gynecology, and Reproductive Biology, Michigan State University, East Lansing, Michigan; Spectrum Health System, Grand Rapids, Michigan.
Abstract
OBJECTIVE: To evaluate whether participation in a statewide enhanced prenatal and postnatal care program, the Maternal Infant Health Program (MIHP), reduced infant mortality risk. METHODS: Data included birth and death records, Medicaid claims, and program participation. The study population consisted of Medicaid-insured singleton infants born between January 1, 2009, and December 31, 2012, in Michigan (n = 248 059). The MIHP participants were propensity score-matched with nonparticipants based on demographics, previous pregnancies, socioeconomic status, and chronic disease. Infant mortality, neonatal mortality, and postneonatal mortality analyses were presented by race. RESULTS: Infants with any MIHP participation had reduced odds of death in the first year of life compared with matched nonparticipants (odds ratio [OR] 0.73, 95% confidence interval [CI] 0.63-0.84). Infant death odds were reduced both among black infants (OR 0.71, 95% CI 0.58-0.87) and infants of other races (OR 0.74, 95% CI 0.61-0.91). Neonatal death (OR 0.70, 95% CI 0.57-0.86) and postneonatal death odds (OR 0.78, 95% CI 0.63-0.96) were also reduced. Enrollment and screening in MIHP by the end of the second pregnancy trimester and at least 3 additional prenatal MIHP contacts reduced infant mortality odds further (OR 0.70, 95% CI 0.58-0.85; neonatal: OR 0.67, 95% CI 0.51-0.89; postneonatal: OR 0.74, 95% CI 0.56-0.98). CONCLUSIONS: A state Medicaid-sponsored population-based home-visitation program can be a successful approach to reduce mortality risk in a diverse, disadvantaged population. A likely mechanism is the reduction in the risk of adverse birth outcomes, consistent with previous findings on the effects of the program.
OBJECTIVE: To evaluate whether participation in a statewide enhanced prenatal and postnatal care program, the Maternal Infant Health Program (MIHP), reduced infant mortality risk. METHODS: Data included birth and death records, Medicaid claims, and program participation. The study population consisted of Medicaid-insured singleton infants born between January 1, 2009, and December 31, 2012, in Michigan (n = 248 059). The MIHP participants were propensity score-matched with nonparticipants based on demographics, previous pregnancies, socioeconomic status, and chronic disease. Infant mortality, neonatal mortality, and postneonatal mortality analyses were presented by race. RESULTS:Infants with any MIHP participation had reduced odds of death in the first year of life compared with matched nonparticipants (odds ratio [OR] 0.73, 95% confidence interval [CI] 0.63-0.84). Infant death odds were reduced both among black infants (OR 0.71, 95% CI 0.58-0.87) and infants of other races (OR 0.74, 95% CI 0.61-0.91). Neonatal death (OR 0.70, 95% CI 0.57-0.86) and postneonatal death odds (OR 0.78, 95% CI 0.63-0.96) were also reduced. Enrollment and screening in MIHP by the end of the second pregnancy trimester and at least 3 additional prenatal MIHP contacts reduced infant mortality odds further (OR 0.70, 95% CI 0.58-0.85; neonatal: OR 0.67, 95% CI 0.51-0.89; postneonatal: OR 0.74, 95% CI 0.56-0.98). CONCLUSIONS: A state Medicaid-sponsored population-based home-visitation program can be a successful approach to reduce mortality risk in a diverse, disadvantaged population. A likely mechanism is the reduction in the risk of adverse birth outcomes, consistent with previous findings on the effects of the program.
Authors: Kelly L Strutz; Zhehui Luo; Jennifer E Raffo; Cristian I Meghea; Peggy Vander Meulen; Lee Anne Roman Journal: Public Health Rep Date: 2021-07-29 Impact factor: 3.117
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