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Objective: To summarize and examine data collected from the first-ever Public Health Workforce Interests and Needs Survey Maternal and Child Health (MCH) module., Design, Setting, and Participants: Responses from MCH governmental public health employees in 47 state health departments and 288 local health departments (LHDs) in the United States., Main Outcome Measure: Demographic characteristics; 4 measures from the MCH module: the importance of and skill level in 5 MCH competencies in daily work, growth and leadership development opportunities, and additional workforce development needs., Results: The MCH workforce predominantly self-identified as women (91.2%) and as White, non-Hispanic (55.2%). At least 70% of respondents reported MCH competencies as important in their daily work, but only 44% to 57% reported being proficient in those competencies. The MCH workforce in LHDs were less likely than those in state health departments to report being proficient in MCH competencies (adjusted prevalence rate ratio range: 0.83-0.92) or have growth and leadership development opportunities (adjusted prevalence rate ratio range 0.76-0.90)., Conclusion: The MCH module highlights a need to further prioritize workforce development efforts for governmental public health staff, especially in LHDs. There is an ongoing need to meet public health professionals where they are and to tailor training models and workforce development plans to account for new and ongoing stressors faced by the workforce., Competing Interests: The authors declare that they have no conflict of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Objectives A skilled workforce is essential to advancing maternal and child health (MCH) in a rapidly changing public health system. Little is known about the MCH workforce's existing capacity to maximize opportunities afforded by ongoing change. We assessed MCH workforce capacity in three areas: Systems Integration, Evidence-Based Decision-Making, and Change Management/Adaptive Leadership. We then examined associations between workforce capacity and modifiable workforce development strategies/resources. Methods Data are from the Public Health Workforce Interests and Needs Survey (PH WINS). The present study was limited to employees working in MCH programs (weighted N = 3062). Workforce capacity was operationalized as self-reported awareness of public health trends and proficiency to perform related skills in the three areas. Survey-weighted generalized estimating equations were used to fit logistic regression models accounting for employee clustering within states. Results While awareness of public health trends was low, the majority of employees (> 70% in each area) reported proficiency to perform skills related to these trends. Capacity was lowest in Systems Integration. Employee engagement in academic partnerships and higher state contributions to MCH program budgets were the strategies/resources most consistently associated with higher capacity. Workplace support was the strongest correlate of capacity in Change Management/Adaptive Leadership. Conclusions for Practice Although employees lacked familiarity with specific public health trends, they were proficient in skills needed to engage in related work. Still, areas for improvement remain. Results provide a baseline against which future training efforts can be evaluated. Academic partnerships and MCH program funding may be useful to prioritize in the context of health transformation.

Objectives: In response to an expressed need for more focused measurement of preconception health (PCH), we identify a condensed set of PCH indicators for state and national surveillance., Methods: We used a systematic process to evaluate, prioritize, and select 10 PCH indicators that maternal and child health programs can use for surveillance. For each indicator, we assessed prevalence, whether it was addressed by professional recommendations, Healthy People 2020 objectives, or Centers for Disease Control and Prevention winnable battles, measurement simplicity, data completeness, and stakeholders' input., Results: Fifty PCH indicators were evaluated and prioritized. The condensed set includes indicators that rely on data from the Pregnancy Risk Assessment Monitoring System (n = 4) and the Behavioral Risk Factor Surveillance System (n = 6). The content encompasses heavy alcohol consumption, depression, diabetes, folic acid intake, hypertension, normal weight, recommended physical activity, current smoking, unwanted pregnancy, and use of contraception., Conclusions: Having a condensed set of PCH indicators can facilitate surveillance of reproductive-aged women's health status that supports monitoring, comparisons, and benchmarking at the state and national levels.

Over the past 5 years there have been a number of new initiatives focused on improving birth outcomes and reducing infant mortality, including a renewed focus on the complex interactions between motherhood and infancy that influence lifelong health trajectories. Beginning in 2012, the Association of Maternal & Child Health Programs (AMCHP) facilitated a series of meetings to enhance coordination across initiatives. Emerging from these conversations was a shared desire across stakeholders to reimagine the postpartum visit and improve postpartum care and wellness. AMCHP convened a Postpartum Think-Tank Meeting in 2014 to map the system of postpartum care and identify levers for its transformation. The meeting findings are presented in an infographic which frames the challenges and proposed solutions from the woman's perspective. The infographic describes maternal issues and concerns along with a concise summary of the recommended solutions. Strategies include creating integrated services and seamless care transitions from preconception through postpartum and well-baby; business, community, and government support, including paid parental leave, health insurance and spaces for new parents to meet each other; and mother-centered care, including quality visits on her schedule with complete and culturally appropriate information. These solutions catalyze a postpartum system of care that supports women, children, and families by infusing new ideas and capitalizing on existing opportunities and resources.

Objectives: The purpose of this study was to determine the number and characteristics of US State Registrars of Vital Statistics (Vital Registrars) and State Systems Development Initiative (SSDI) Coordinators that link birth certificate and hospital discharge data as well as using linkage processes., Methods: Vital Registrars and SSDI Coordinators in all 52 vital records jurisdictions (50 states, District of Columbia, and New York City) were asked to complete a 41-question survey. We examined frequency distributions among completed surveys using SAS 9.3., Results: The response rate was 100% (N = 52) for Vital Registrars and 96% (N = 50) for SSDI Coordinators. Nearly half of Vital Registrars (n = 22) and SSDI Coordinators (n = 23) reported that their jurisdiction linked birth certificate and hospital discharge records at least once in the last 4 years. Among those who link, the majority of Vital Registrars (77.3%) and SSDI Coordinators (82.6) link both maternal and infant hospital discharge records to the birth certificate. Of those who do not link, 43% of the Vital Registrars and 55% of SSDI Coordinators reported an interest in linking birth certificate and hospital discharge data. Reasons for not linking included lack of staff time, inability to access raw data, high cost, and unavailability of personal identifiers to link the two sources., Conclusions: Results of our analysis provide a national perspective on data linkage practices in the US. Our findings can be used to promote further data linkages, facilitate sharing of data and linkage methodologies, and identify uses of the resulting linked data.

Purpose: In May 2012, the Association of Maternal and Child Health (MCH) Programs initiated a project to develop indicators for use at a state or community level to assess, monitor, and evaluate the application of life course principles to public health., Description: Using a developmental framework established by a national expert panel, teams of program leaders, epidemiologists, and academicians from seven states proposed indicators for initial consideration. More than 400 indicators were initially proposed, 102 were selected for full assessment and review, and 59 were selected for final recommendation as Maternal and Child Health (MCH) life course indicators., Assessment: Each indicator was assessed on five core features of a life course approach: equity, resource realignment, impact, intergenerational wellness, and life course evidence. Indicators were also assessed on three data criteria: quality, availability, and simplicity., Conclusion: These indicators represent a major step toward the translation of the life course perspective from theory to application. MCH programs implementing program and policy changes guided by the life course framework can use these initial measures to assess and influence their approaches.

This article reviews some of the current challenges for maternal death review in the United States, describes key findings from an assessment of U.S. capacity for conducting maternal death reviews, and introduces a new Maternal Mortality Initiative that aims to develop standardized guidelines for state- or city-based maternal deaths review processes.

States can improve pregnancy outcomes by using a standard approach to assess infant mortality. The State Infant Mortality Collaborative (SIMC) developed a series of analyses to describe infant mortality in states, identify contributing factors to infant death, and develop the evidence base for implementing new or modifying existing programs and policies addressing infant mortality. The SIMC was conducted between 2004 and 2006 among five states: Delaware, Hawaii, Louisiana, Missouri, and North Carolina. States used analytic strategies in an iterative process to investigate contributors to infant mortality. Analyses were conducted within three domains: data reporting (quality, reporting, definitional criteria, and timeliness), cause and timing of infant death (classification of cause and fetal, neonatal, and postneonatal timing), and maturity and weight at birth/maturity and birth weight-specific mortality. All states identified the SIMC analyses as useful for examining infant mortality trends. In each of the three domains, SIMC results were used to identify important direct contributors to infant mortality including disparities, design or implement interventions to reduce infant death, and identify foci for additional analyses. While each state has unique structural, political, and programmatic circumstances, the SIMC model provides a systematic approach to investigating increasing or static infant mortality rates that can be easily replicated in all other states and allows for cross-state comparison of results.