Search Results: MCHLine

Annotation: The overall goal of the this project was to demonstrate effective models for the necessary components of an emergency medical services for children (EMSC) system and the integration of those components into currently operating adult-oriented systems. The project has outlined the six major components of an EMSC system: (l) System description, (2) prevention, (3) education, (4) standards of care, (5) quality assurance, and (6) research and development. The project comprised seven subprojects whose activities included educating the public, the prehospital care provider, and the rural physician about the assessment and management of pediatric emergencies; comparing the efficacy of ground versus air transport; defining the degree of psychological impairment caused by head injury; identifying the rehabilitation facilities available locally, regionally, and nationally; and increasing compliance with safety belt/child restraint legislation. [Funded by the Maternal and Child Health Bureau]

Keywords: Cost-Benefit Analysis, Data Collection, Emergency Medical Services, Emergency medical technicians, Facilities For, First Aid, Head Injuries, Health Professionals, Paramedics, Rehabilitation, Seat Belts/Restraints for Children

Annotation: This report identifies gaps, opportunities, and alignment for reforms to create a better postpartum maternal health care experience.

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Keywords: Data analysis, Mental health, Policy development, Postpartum care, Pregnancy loss, Quality improvement

Annotation: This fact sheet describes the State Systems Development Initiative (SSDI) program, which aims to improve maternal and child health outcomes in 59 states and jurisdictions by increasing capacity to collect, analyze, and use reliable data for Title V MCH Services Block Grant policy and program development. The document explains that SSDI is funded through the Special Projects of Regional and National Significance portion of the Title V Block Grant, distributing up to $100,000 annually to state and jurisdiction awardees to support expansion of data linkages, improved access to data on fair access to care, and translation of data into action. It outlines SSDI's alignment with the Title V MCH Services Block Grant by serving as the sole program supporting the data systems and capacity that Title V programs rely on for planning, implementation, and evaluation. The fact sheet emphasizes that all 59 states and jurisdictions receive SSDI support, providing examples of impact including linking datasets to improve data accuracy, expanding public health dashboards, and identifying areas with poor outcomes for targeted interventions.

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Keywords: Data analysis, Data collection, Grants, MCH programs, Services delivery systems, State initiatives, Title V

Annotation: This data dictionary specifies elements required for data collection, analysis and reporting by the community health centers participating in the Rocky Mountain Network of Oral Health project (RoMoNOH). RoMoNOH focuses on primary prevention of dental caries in infants and children from birth to age 40 months and pregnant women who are receiving health care in participating community health centers (CHCs) throughout Arizona, Colorado, Montana, and Wyoming.

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Keywords: Community health centers, Data analysis, Data collection, Infant health, Oral health, Pregnant women, Prevention, Young children

Annotation: The Community Indicator Library is an online library of data indicators, or metrics, that changemakers can use to measure health, well-being, and equity in their communities.The library contains many indicators commonly used in community health practice from sources that make data available nationwide at the county- or Census-tract level. Sources include the American Community Survey, PLACES database portal, and the Food Access Research Atlas. Indicators are categorized into the following thematic areas: Demographic, Well-Being Outcomes, Health Behaviors, Clinical Care and Urgent Services, Social and Economic Factors, and the Physical Environment. Indicators have also been categorized by unit of analysis, methodological approach, measure type, and topic areas.

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Keywords: Community participation, Data, Data analysis, Data collection, Social Indicators, Special libraries

Annotation: This report highlights findings from the Improving Postpartum Care Affinity Group, a quality improvement initiative convened by the Centers for Medicare & Medicaid Services from April 2021 to April 2023. Nine states participated in the affinity group to develop and test interventions addressing the high rates of preventable maternal mortality and morbidity in the United States, with nearly two-thirds of maternal deaths occurring during the postpartum period. The report describes how state teams used data-driven approaches to identify disparities and quality improvement opportunities, select measures to monitor their projects, and evaluate intervention impacts. It presents four main categories of interventions tested by participating states: targeted case management services for high-risk beneficiaries, postpartum cardiac care including blood pressure monitoring and cardiomyopathy protocols, support from doulas and community health workers with home visiting programs, and beneficiary and provider education and support tools. The document includes specific examples from states such as South Carolina's pilot addressing gaps in behavioral health screening, Georgia's work to improve provider use of postpartum visit codes, and Texas's blood pressure cuff distribution program for hypertensive beneficiaries.

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Keywords: Data analysis, Georgia, Kansas, Kentucky, Maternal morbidity, Maternal mortality, Missouri, Models, Oklahoma, Postpartum care, Prevention, Quality improvement, South Carolina, State initiatives, Texas, Wyoming

Annotation: This guide provides practical strategies to leverage data from electronic clinical data systems for improved maternal health care.

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Keywords: Data analysis, Data collection, Health care systems, Postpartum care, Prenatal care, Quality improvement, Resources for professionals

Annotation: This report tracks progress on key tobacco control policies at the state and federal levels, and assigns grades based on tobacco control laws and regulations in effect as of January 1, 2023. The federal government, all 50 state governments, and the District of Columbia have been given grade to reflect the extent to which tobacco control laws are adequately protecting citizens. The report summarizes the results of its findings and describes major trends regarding tobacco control policy efforts at the state and federal levels. Details about the methodology and the criteria used to assess the effectiveness of tobacco control policies are included.

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Keywords: Comparative analysis, Data, Federal programs, Health status, Policy, Smoking, Smoking cessation, State programs, Tobacco, Trends

Annotation: This resource is intended to guide an organization’s approach to data interpretation, with the goal of interpreting study data in collaboration with members of the community or communities where research is taking place. The guide explains how collaborative interpretation, or co-interpretation, can make an evaluation more equitable by disrupting dynamics that otherwise prevent community members from exercising agency over research about their own communities.

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Keywords: , Collaboration, Community participation, Data analysis, Health equity

Annotation: This issue brief provides analysis of racial and ethnic disparities across selected measures of maternal and infant health, discusses the factors that drive these disparities, and provides an overview of recent efforts to address them. Statistics from federal data sets are included.

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Keywords: Barriers, Access to health care, Alaska natives, Blacks, Data, Ethnic factors, Health equity, Native Americans, Racial factors, Statistical analysis

Annotation: This road map outlines how data can be used as a tool to help end structural racism. It consists of a collection of guiding questions, tools, and resources to assist programs in taking concrete steps to better identify, understand, and act to address racial inequities. The road map contains seven sections: (1) Looking at health issues with a focus on the impact of racism; (2) Determining if a program is ready to use data to address racism; (3) Understanding what the data says about differences in health outcomes by race and ethnicity; (4) Using other sources of data to uncover causes of the differences; (5) Making plans to act on differences that are unjust or avoidable; (6) Presenting data in ways that help people make sense of the numbers; and (7) Moving from data to action.

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Keywords: Data, Data analysis, Data collection, Data sources, Ethnic factors, Health equity, Massachusetts, Outcome evaluation, Racial factors, Racism, State initiatives

Annotation: In this podcast episode, host Christie Allen and Dr. Gillispie-Bell delve into the difficulties of measuring equity and addressing barriers in maternal-child health data. They discuss the challenges of capturing accurate data in a fragmented healthcare system, the limitations of electronic medical records (EMRs) in measuring quality metrics, and the importance of contextualizing data within the broader landscape of social determinants of health. The two share insights from their experiences in quality improvement and offer a candid conversation about the need for continuous quality improvement, sustainability of positive changes, and the potential for data-driven innovation in addressing severe maternal morbidity and mortality rates in the United States. This episode is part of the AIM for Safer Birth series of podcasts that dive deeper into the rising severe maternal morbidity and maternal mortality rates in the United States through a data-driven, quality improvement lens.

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Keywords: Barriers, Data, Data analysis, Data collection, Health equity, Maternal and child health research, Quality improvement

Annotation: This interactive U.S. maternal mental health map provides a "risk factor score" for each county in the country based on the number of mental health providers, annual births, the provider ratio (number of reproductive-aged women vs. providers), and the provider shortage gap. The map visually illustrates which parts of the country have the highest and lowest maternal mental health gaps in access to care. The Policy Center website includes a description of the data sets and the methodology used to determine the "risk factor score," along with a report summarizing the mental health provider shortages and population risk.

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Keywords: Access to care, Data, Data analysis, Data collection, Interactive media, Maps, Maternal health, Mental health, Mental health professionals, Risk assessment

Annotation: This report examines the performance of Medicaid managed care organizations in addressing the maternal mortality crisis and racial health disparities among pregnant and postpartum women with low incomes. It presents findings from a scan of 12 states conducted in 2023 that analyzed the transparency of publicly available performance metrics and reports from state maternal mortality review committees. The document identifies significant gaps in public data regarding individual organization accountability and the lack of coordination between state health agencies. Substantial recommendations are provided for federal and state policymakers to improve transparency through the use of data dashboards, beneficiary-facing scorecards, and standardized performance improvement projects.

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Keywords: Data, Managed care, Maternal health, Maternal mortality, Medicaid, Racial factors, State health agencies, Statistical analysis, health care disparities

Annotation: National data sets provide an avenue for students to practice data analytic skills while also answering meaningful research questions. This open education resource was developed to train future public health professionals how to conduct secondary data analysis of national health surveys using SAS statistical software. SAS software was selected because it is one of the most commonly used software programs used among public health departments and academia. The book includes details on how to analyze public-use data from five common national health surveys, including the National Health Interview Survey (NHIS), Medical Expenditure Panel Survey (MEPS), Health Information National Trends Survey (HINTS), Behavior Risk Factor Surveillance System (BRFSS) and National Health and Nutrition and Examination Survey (NHANES). All datasets and corresponding syntax files are available from the Open ICPSR Data Repository.

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Keywords: Data analysis, National surveys, Health surveys, Behavioral medicine

Annotation: This June 2022 recording features AMCHP's Evidence and Implementation team demonstrating how organizations can leverage evaluation data to drive quality improvement initiatives, with particular emphasis on identifying underlying root causes of issues. The presentation introduces and provides practical demonstrations of two complementary root cause analysis methodologies—the Fishbone Diagram and the 5 Whys technique—showing not only how each works independently but also how they can be effectively used in tandem for comprehensive analysis. Viewers will gain enhanced understanding of the evaluation-improvement connection, appreciate the critical importance of root cause identification in solving organizational challenges, and learn the practical application of these analytical tools through clear explanations and comparative demonstrations.

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Keywords: Staff development, MCH programs, Data analysis, Program evaluation, Quality assessment

Annotation: This toolkit outlines strategies to center race equity across data integration projects, incuding data collection, data access, analysis, reporting, and dissemination. Available in English, Spanish, and French.

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Keywords: Data, Data analysis, Data collection, Health equity, Racial factors

Annotation: This table presents a list of the number and percentage of births financed by Medicaid in each of the 50 united states. The analysis is based on data from the CDC Wonder Online Database.

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Keywords: Childbirth, Data, Health surveys , Medicaid, Statistical analysis, Statistical data, Statistics, United States

Annotation: This brief looks at the rapid rise of advanced analytics and explores the controversies, ethical challenges, and opportunities that it creates for youth- and family-serving agencies. It also presents four principles for identifying effective and equitable advanced analytics tools and includes real-world examples of jurisdictions that are using data science in ways that live up to—or fall short of — the social sector’s quest to develop better and fairer solutions for children, families, and communities.

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Keywords: Advocacy, Community participation, Data analysis, Data collection, Family support services, Initiatives, Model programs, Social services, Youth services

Annotation: This academic thesis examines the association between severe maternal morbidity (SMM) and interpregnancy interval using Iowa data from 2009-2014. It utilizes hospital discharge data linked to birth certificates to analyze three main areas: the risk of SMM recurrence and its relation to interpregnancy interval length; the patterns of interpregnancy interval between women with and without SMM; and the comparison of SMM identification between hospital discharge data and birth certificate data. The study found that women who experienced SMM were over eight times more likely to experience a subsequent SMM event, suggesting these women may need enhanced postpartum care.

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Keywords: Data analysis, Data collection, Iowa , Maternal morbidity, Maternal mortality, Postpartum care