Search

Objectives: To compare the results of two maternal death review processes conducted from 2002 to 2012 by Illinois regionalized perinatal centers with those conducted by the Illinois Department of Public Health's (IDPH's) statewide multidisciplinary external Maternal Mortality Review Committee (MMRC)., Methods: This is a retrospective record review linking MMRC case assessment forms to the IDPH's Maternal Mortality Review Form database to compare causes of death and potential preventability as determined by both review processes., Results: MMRC records for 76 maternal death reviews were linked to the IDPH maternal mortality review form database. Most deaths reviewed by the statewide MMRC were due to pregnancy-related causes. The statewide MMRC differed from the regional perinatal centers on cause of death in 55.3% (n = 42) of cases and on the disposition of potential preventability in 48.7% (n = 37) of cases. The statewide MMRC judged 69.7% (n = 53) of cases potentially preventable, compared with 40.8% (n = 31) for the regional perinatal centers. The MMRC identified more preventable provider and systems factors for potentially preventable deaths compared with regional perinatal centers which identified more preventable patient factors., Conclusions for Practice: The statewide MMRC found more potential preventability and determined that preventability was associated with provider and systems factors, not patient factors. Observed discrepancies between regional perinatal center and statewide MMRC reviews were likely due to the complexity of cases selected for review, the multidisciplinary external composition of the review team, and the de-identification of cases. Multidisciplinary statewide expert panels should be implemented in addition to local and regionalized reviews.

This paper reports on the structure, implementation and outcomes of the Maternal and Child Health (MCH) Epidemiology (MCHEPI) program at the University of Illinois School of Public Health (UIC-SPH) and discusses the successes and challenges in developing MCH Epidemiology leaders for the local, state, and national public health workforce. The MCHEPI program at UIC-SPH offers both the MPH and PhD degree and is based on six key components: integration across school divisions, competency-based training, tailored curricula, practica/dissertations with public health agencies, personal leadership training and development, and socialization. Based on data from the 1998-2012 cohorts, all former and current MCHEPI MPH students (n = 28) have participated in practica with local or state public health agencies and former and current MCHEPI doctoral students at the dissertation stage (12 out of 15) have partnered with local, state or national public health agencies in conducting their dissertations. The alumni of the MCHEPI MPH program (n = 25) appear to serve in higher level positions in their second compared to their first placements post-graduation. All MCHEPI doctoral alumni (n = 8) serve at the emerging senior level or senior scientist level upon graduation, in local, state and federal agencies, or in academe. Explicit linkage of MCHEPI students to practice through tailored curricula, practica, and dissertations with public health agencies, and the development of an identity as a member of the MCHEPI field appear to be important to the generation of epidemiology leaders for the MCH workforce. Leadership development is a lifelong process and as such, snapshots of current students and alumni at any one point in time do not provide the entire picture of the impact of MCH epidemiology training programs. Examining the trajectories of emerging leaders over time is essential for evaluating the true success of Maternal and Child Health Bureau workforce and training investments.

To assess whether a measure of prenatal case management (PCM) dosage is more sensitive than a dichotomous PCM exposure measure when evaluating the effect of PCM on low birthweight (LBW) and preterm birth (PTB). We constructed a retrospective cohort study (N = 16,657) of Iowa Medicaid-insured women who had a singleton live birth from October 2005 to December 2006; 28 % of women received PCM. A PCM dosage measure was created to capture duration of enrollment, total time with a case manager, and intervention breadth. Propensity score (PS)-adjusted odds ratios (ORs), and 95 % confidence intervals (95 % CIs) were calculated to assess the risk of each outcome by PCM dosage and the dichotomous PCM exposure measure. PS-adjusted ORs of PTB were 0.88 (95 % CI 0.70-1.11), 0.58 (95 % CI 0.47-0.72), and 1.43 (95 % CI 1.23-1.67) for high, medium, and low PCM dosage, respectively. For LBW, the PS-adjusted ORs were 0.76 (95 % CI 0.57-1.00), 0.64 (95 % CI 0.50-0.82), and 1.36 (95 % CI 1.14-1.63), for high, medium, and low PCM dosage, respectively. The PCM dichotomous participation measure was not significantly associated with LBW (OR = 0.95, 95 % CI 0.82-1.09) or PTB (0.97, 95 % CI 0.87-1.10). The reference group in each analysis is No PCM. PCM was associated with a reduced risk of adverse pregnancy outcomes for Medicaid-insured women in Iowa. PCM dosage appeared to be a more sensitive measure than the dichotomous measure of PCM participation.

This study extends mediation analysis techniques to explore whether and to what extent differential access to a medical home explains the black/white disparity in unmet healthcare needs among children with special healthcare needs (CSHCN). Data were obtained from the 2007 National Survey of Children's Health, with analyses limited to non-Hispanic white and black CSHCN (n = 14,677). The counterfactual approach to mediation analysis was used to estimate odds ratios for the natural direct and indirect effects of race on unmet healthcare needs. Overall, 43.0 % of white CSHCN and 60.4 % of black CSHCN did not have a medical home. Additionally, 8.8 % of white CSHCN and 15.3 % of black CSHCN had unmet healthcare needs. The natural indirect effect indicates that the odds of unmet needs among black CSHCN are elevated by approximately 20 % as a result of their current level of access to the medical home rather than access at a level equal to white CSHCN (OR(NIE) = 1.2, 95 % CI = 1.1, 1.3). The natural direct effect indicates that even if black CSHCN had the same level of access to a medical home as white CSHCN, blacks would still have 60 % higher odds of unmet healthcare needs than whites (OR(NDE) = 1.6, 95 % CI = 1.1, 2.4). The racial disparity in unmet healthcare needs among CSHCN is only partially explained by disparities in having a medical home. Ensuring all CSHCN have equal access to a medical home may reduce the racial disparity in unmet needs, but will not completely eliminate it.

The purpose of this article is to summarize the methodology, partnerships, and products developed as a result of a distance-based workforce development initiative to improve analytic capacity among maternal and child health (MCH) epidemiologists in state health agencies. This effort was initiated by the Centers for Disease Control's MCH Epidemiology Program and faculty at the University of Illinois at Chicago to encourage and support the use of surveillance data by MCH epidemiologists and program staff in state agencies. Beginning in 2005, distance-based training in advanced analytic skills was provided to MCH epidemiologists. To support participants, this model of workforce development included: lectures about the practical application of innovative epidemiologic methods, development of multidisciplinary teams within and across agencies, and systematic, tailored technical assistance The goal of this initiative evolved to emphasize the direct application of advanced methods to the development of state data products using complex sample surveys, resulting in the articles published in this supplement to MCHJ. Innovative methods were applied by participating MCH epidemiologists, including regional analyses across geographies and datasets, multilevel analyses of state policies, and new indicator development. Support was provided for developing cross-state and regional partnerships and for developing and publishing the results of analytic projects. This collaboration was successful in building analytic capacity, facilitating partnerships and promoting surveillance data use to address state MCH priorities, and may have broader application beyond MCH epidemiology. In an era of decreasing resources, such partnership efforts between state and federal agencies and academia are essential for promoting effective data use.

The aim of this study is to examine the relationship between prenatal care (PNC) provider site and the extent of documented adherence to recommended PNC content, and the relationship between adherence to recommended PNC content and adverse pregnancy outcomes among women in Illinois' Medical Assistance Program (MA). Utilizing the medical record, MA claims, and birth certificate data of 374 women who gave birth in 2003 and 2004 in four high-risk communities in Chicago, crude and adjusted analyses of the relationship between provider site and the extent of documented adherence to PNC content, and between adherence to PNC content and the incidence of low birthweight (LBW) and preterm birth (PTB) were conducted. The extent of documented adherence to recommended PNC content was measured from medical records as the percentage of 19 components of standard obstetrical practice that were delivered during pregnancy, converted to a three level categorical variable (low 50%, medium 50-79% and high 80% or greater). The majority of women had less than 80% of the recommended PNC content documented in their medical records. Among high-risk women, a greater proportion of women served by hospitals received care in which the extent of documented adherence was high (≥80%) compared to women served by physicians'offices (P < 0.05). Among low-risk women, a greater proportion of women served by FQHCs received care in which the extent of documented adherence was high compared to women served by hospitals (P < 0.10). Lower adherence to PNC content was significantly associated with LBW and PTB among women receiving prenatal care from physicians. Examination of the extent of adherence to recommended PNC content and its relationship to adverse pregnancy outcomes provides valuable data to inform potential interventions. In particular, a relationship between adherence to recommended PNC content and LBW and PTB among women receiving PNC at physicians' offices suggests the importance of increased quality assurance and provider education efforts.

This paper discusses characteristics that are associated with enhanced maternal and child health (MCH) epidemiology functioning in state health agencies. The concept of the "MCH Epidemiology Effort" is introduced as "the epidemiologic work carried out by multiple units and agencies aimed at informing program planning and policy development on behalf of women, children and families." This concept focuses attention on MCH epidemiology functioning at the organizational level rather than on individual MCH epidemiologists. The analysis used data from all 50 states and the District of Columbia. Each state participated in a telephone interview and submitted material that demonstrated the breadth, depth, and capacity of its MCH Epidemiology Effort. Several organizations, including the Council for State and Territorial Epidemiologists, the Health Resources and Services Administration/Maternal and Child Health Bureau, and the Centers for Disease Control and Prevention provided additional secondary data. The outcome for analysis was a three-category measure of MCH epidemiology functioning. The findings are consistent with, and add specificity to, those from prior assessments. In a multivariable model, agenda-setting by consensus, involvement of external stakeholders, the total of doctorally trained staff, and accessing CDC assignees or other staff were all significantly related to higher level MCH epidemiology functioning (ORs of 6.1, 6.6, 2.5, and 6.4, respectively; P<0.05). Organizational visibility of the MCH Epidemiology Effort and a data environment marked by routine data-sharing and data integration were marginally related. We provide recommendations for action at the state and federal level for advancing evidence-based decision-making in maternal and child health.

Objectives: To examine pre-pregnancy Medicaid coverage and initiation of prenatal care among women likely eligible for Medicaid coverage regardless of pregnancy., Methods: The Pregnancy Risk Assessment Monitoring System (PRAMS) was used to identify very low-income women with Medicaid payment for delivery. We then compared prenatal care initiation among women with (Non-GAP) and without (Medicaid GAP) pre-pregnancy Medicaid coverage., Results: Rates of first trimester prenatal care were 47.3% for women in the Medicaid GAP, 70.0% for women who were not. The adjusted odds ratio for being in the Medicaid GAP and delayed prenatal care was 2.7 (95% CI 1.2, 6.2), although this varied by race/ethnicity and education. The relationship was strongest among White and Hispanic women with less than a high school education: OR=13.8, (95% CI 3.0, 62.7) and OR=19.0 (95% CI 2.4, 149.2), respectively., Conclusions: Pre-pregnancy Medicaid coverage appears to be associated with early initiation of prenatal care. Almost a decade after welfare reform, it is essential to preserve the Medicaid expansions for pregnant women, foster Medicaid family planning waivers, and promote access to primary care and early prenatal care, particularly for very low-income women.

Objectives: To assess the validity of a question on assisted reproductive technology (ART) incorporated into the Pregnancy Risk Assessment Monitoring System (PRAMS) in 2000. While the intent of the question is to ascertain whether the index infant was conceived using ART, the phrasing was ambiguous for women who had used ART while trying to conceive the index infant but became pregnant after discontinuing treatment., Methods: We compared weighted PRAMS estimates from five states that incorporated the ART question in 2000 with data from the U.S. ART Surveillance System (ART-SS) maintained by the Centers for Disease Control and Prevention (CDC). U.S. medical practices are mandated to report data for every ART procedure to CDC annually; thus, the ART-SS is highly specific and complete., Results: ART use was reported for 156 of the PRAMS births in our study population, representing 4,571 (95% Confidence Limit, 3,452-5,690) births from the total birth cohort in the five states of interest in 2000. For the same maternal residency states and year, 1,768 births were reported to the ART-SS. Thus, we calculate that PRAMS overestimated ART use by 2,803 births. PRAMS estimated 2.59 times as many ART births as reported to the ART-SS. While for singletons, a large excess in estimated births from PRAMS was observed (ratio=3.50), there was little difference between the PRAMS estimates and ART-SS for twin and triplet births., Conclusion: These findings suggest women responding to PRAMS may be reporting past ART use in addition to current. The findings by plurality support this hypothesis.

Objectives: This purpose of the study was to examine the factors associated with access to routine care and to specialty care for Mississippi children with special health care needs (CSHCN)., Methods: We analyzed data for Mississippi CSHCN from the 2001 National Survey of Children with Special Health Care Needs. Using a modified version of Andersen and Aday's Behavioral Model of Health Services Use, we explored the relationship of independent variables (e.g., demographics, insurance, severity of illness) to dependent variables (did not obtain routine care, did not obtain specialty care). We conducted bivariate and logistic regression analyses using SAS and SUDAAN., Results: Based on self-reported data, with a 61% response rate, 66% of Mississippi CSHCN needed routine health care, and 52.8% needed specialty care. Of these children, 6.5% did not receive routine care and 9.3% did not receive specialty care. In a fully adjusted model, discontinuous insurance coverage was an important factor associated with not having obtained routine care (OR = 7.8; CI = 1.7-35.9) and specialty care (OR = 8.6; CI = 2.0-36.8). Children with a high illness severity rank were more likely to have not obtained routine care than children with a low rank (OR 1.4; CI = 1.1-1.9)., Conclusions: It may be important to establish a health insurance safety net for families who lack insurance continuity since it appears that a lapse in insurance coverage impedes health care access. Further research is needed to understand the relationship between illness severity and lack of health care access, especially for children with special health care needs.

Objectives: The objectives of this study were: 1) to estimate the need for care coordination among children with special health care needs (CSHCN) in Illinois, 2) to assess the need for care coordination among CSHCN in Illinois by sociodemographic, condition-related, and access to care factors, and 3) to discuss approaches for meeting the need for care coordination., Methods: The study included 745 Illinois families interviewed as part of the State and Local Area Integrated Telephone Survey (SLAITS) of CSHCN. Classifying families of CSHCN as needing care coordination was based on three survey questions. The prevalence of the need for care coordination among CSHCN in Illinois was examined overall and by sociodemographic characteristics, descriptors of the child's health condition, and measures of access to services. Multivariable modeling was carried out to jointly assess these factors and the need for care coordination., Results: In Illinois, 25.2% of CSHCN families reported a need for care coordination. Condition severity, need for supplementary/ancillary services, lack of insurance coverage and inadequate communication among providers were significantly associated with the need for care coordination (OR = 1.14, OR = 1.72, OR = 2.45, and OR = 3.08, respectively). Having a primary care provider/medical home was not associated with the need for care coordination in multivariable analysis., Conclusion: Coordination of health services is important for all children and all adults, but it is particularly important for children with special health care needs. The variation in the need for care coordination both within and across states underscores the need for flexibility in program and policy development for CSHCN.

Objectives: The objectives of this study were: to 1) define patterns of prenatal care utilization using cluster analysis, 2) describe two alternative cluster solutions and compare these groupings to the Adequacy of Prenatal Care Utilization Index (APNCU), 3) compare the cluster solutions and the APNCU with respect to maternal age and prematurity, and 4) discuss advantages and disadvantages of using cluster analysis to study prenatal care., Methods: The study sample included 3544 women in the 1988 National Maternal and Infant Health Survey for whom complete prenatal care visit data were available. Clustering was carried out in two stages, first employing nearest centroid sorting (the k means method), a nonhierarchical approach, and then using Ward's Minimum Variance Method, a hierarchical clustering technique., Results: Patterns of prenatal care defined by cluster analysis varied by timing of the first visit, total number of visits, and the rate of accumulation of visits, but this variation was different compared to that seen for the APNCU. While the cluster solutions and the APNCU identified a similar normative pattern of care, other patterns identified were quite different. In particular, the six-cluster solution differentiated among women who entered care at similar times, but accumulated visits at differing rates and experienced differing rates of preterm delivery., Conclusion: Cluster analysis is a new tool for studying prenatal care. Further studies are needed to refine the method and test whether the alternative perspective it provides will lead to new findings concerning the relationship of prenatal care and birth outcomes.

Objective: To evaluate the reliability and construct validity of a prenatal care satisfaction scale., Method: A prenatal care satisfaction scale that included six dimensions of care based on the literature was tested during a telephone interview with 101 first-time African-American and Mexican-American mothers 18 and over who receive Medicaid., Results: The scale exhibited high reliability (Cronbach's alpha = 0.95), as well as good construct validity. The correlation between the scale and rating of the quality of care overall was 0.74 (p < 0.001); the correlation between the scale and whether the women would recommend this provider to a friend was 0.67 (p < 0.001). Results from correlation and factor analysis suggested a different set of dimensions than those described in the literature., Conclusion: The 22-question satisfaction with prenatal care scale has excellent reliability and construct validity and taps six established dimensions of satisfaction, including the art of care, technical quality, access, physical environment, availability, and efficacy. The multidimensional scale allows for alternative groupings of the domains of satisfaction as our understanding of prenatal care satisfaction increases.

Objectives: This study describes the use of a Medicaid managed care list to prospectively recruit into a research project pregnant women receiving care from a variety of providers., Method: A list of women enrolled in Medicaid managed care was used to recruit pregnant African-American and Latina women into a study of prenatal care satisfaction. Due to privacy concerns, the researchers were not able to directly access names from the list. Instead, a managed care contract agency sent recruitment letters to 1009 pregnant African-American and Latina Medicaid recipients. Response rates by ethnicity and several other key variables are calculated. The biases associated with this method of recruiting pregnant women from a variety of providers are discussed., Results: Thirty-five percent of the women contacted returned consent forms and agreed to have researchers approach them; the response rate for African-American women was 43% and for Latinas was 29% (p < 0.0001). Respondents were younger and later in their pregnancies than nonrespondents, but did not differ from them by zip code of residence. The women recruited into the study obtained prenatal care from a diverse group of providers., Conclusions: While the use of a prospectively generated list of pregnant Medicaid recipients to recruit low-income pregnant women into a research study may be associated with some selection bias, the potential cost savings, decreased effort, and diminished recall bias may make their use a feasible sampling alternative, particularly when the researcher desires to recruit women seeking care from a variety of provider arrangements.