Maternal and child health journal
-
Matern Child Health J · Feb 2011
Studying sudden and unexpected infant deaths in a time of changing death certification and investigation practices: evaluating sleep-related risk factors for infant death in New York City.
We describe an approach for quantifying and characterizing the extent to which sudden and unexpected infant deaths (SUIDs) result from unsafe sleep environments (e.g., prone position, bedsharing, soft bedding); and present data on sleep-related infant deaths in NYC. Using a combination of vital statistics and medical examiner data, including autopsy and death scene investigation findings, we analyzed any death due to accidental threat to breathing (ATB) (ICD-10 W75 & W84), and deaths of undetermined intent (UND) (Y10-Y34) between 2000 and 2003 in NYC for the presence of sleep-related factors (SRF). Homicide deaths were excluded as were SIDS, since in NYC SIDS is not a certification option if environmental factors were possibly contributors to the death. ⋯ This is the first local study to illustrate the importance of knowing how SUIDs are certified in order to ascertain the prevalence of infant deaths with SRFs. Advancing the research requires clarity on the criteria used by local medical examiners to categorize SUIDs. This will help jurisdictions interpret their infant mortality statistics, which in turn will improve education and prevention efforts.
-
Matern Child Health J · Feb 2011
Comparative StudyPregnancy intentions among women who do not try: focusing on women who are okay either way.
Are women who are intentional about pregnancy (trying to or trying not to get pregnant) systematically different from women who are "okay either way" about getting pregnant? We use a currently sexually active subsample (n = 3,771) of the National Survey of Fertility Barriers, a random digit dialing telephone survey of reproductive-aged women (ages 25-45) in the United States. We compare women who are trying to, trying not to, or okay either way about getting pregnant on attitudes, social pressures, life course and status characteristics using bivariate analyses (chi-square tests for categorical and ANOVA tests for continuous variables). Multivariate multinomial logistic regression provides adjusted associations. ⋯ Several characteristics distinguish those trying to from those okay: fertility intentions, importance of motherhood, age, parity, race/ethnicity and self identifying a fertility problem. Additional characteristics are associated with trying not to get pregnant compared to being okay: ideal number of children, wanting a baby, trusting conception, relationship satisfaction, race ethnicity, economic hardship, and attitudes about career success. Women who are "okay either way" about pregnancy should be assessed separately from women who are intentional (trying to, trying not to) about pregnancy.
-
Matern Child Health J · Nov 2010
Statewide systematic evaluation of sudden, unexpected infant death classification: results from a national pilot project.
The Centers for Disease Control and Prevention funded seven states, including Kentucky, to clarify statewide death certification practices in sudden, unexpected infant death and compare state performances with national expectations. Accurate assignment of the cause and manner of death in cases of sudden, unexpected infant death is critical for accurate vital statistics data to direct limited resources to appropriate targets, and to implement optimal and safe risk reduction strategies. The primary objectives are to (1) Compare SUID death certifications recommended by the KY medical examiners with the stated cause of death text field on the hard copy death electronic death certificates and (2) Compare KY and national SUID rates. ⋯ Medical examiners' recommendations for cause of death should appear on death certificates. Multidisciplinary pediatric death review teams prospectively evaluating cases before death certification is recommended. Research into other jurisdictions death certification process is encouraged.
-
Matern Child Health J · Nov 2010
Perinatal periods of risk: analytic preparation and phase 1 analytic methods for investigating feto-infant mortality.
The Perinatal Periods of Risk (PPOR) methods provide the necessary framework and tools for large urban communities to investigate feto-infant mortality problems. Adapted from the Periods of Risk model developed by Dr. Brian McCarthy, the six-stage PPOR approach includes epidemiologic methods to be used in conjunction with community planning processes. ⋯ Disparities within the study community are identified by comparing geographic areas, subpopulations, and time periods. Excess mortality numbers and rates are estimated by comparing the study population to an optimal reference population. This excess mortality is described as the opportunity gap because it indicates where communities have the potential to make improvement.
-
Matern Child Health J · Nov 2010
Insurance-based discrimination during prenatal care, labor, and delivery: perceptions of Oregon mothers.
The purpose of this study was to improve understanding of who experiences insurance-based discrimination during prenatal care, labor, and delivery and how their health care may differ from that of other women. We pooled data from the 1998-1999, 2000, and 2001 Oregon Pregnancy Risk Assessment Monitoring System and conducted univariate, bivariate, and multivariate analyses. The women who perceived that they had been treated differently by health care providers during prenatal care, labor, or delivery based on their insurance status were largely a lower income group. ⋯ Insurance-based discrimination was not significantly associated with the number of topics covered by providers during prenatal care. In contrast, insurance-based discrimination was significantly associated with fewer breastfeeding support actions taken at the hospital and with having had a provider discuss birth control after delivery among women with employer sponsored insurance. These findings draw attention to the need to better understand women's experiences and perceptions of insurance-based discrimination during prenatal care, labor, and delivery.