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Evaluation of a method to identify midwives in national provider identifier data

ObjectivesComparison of national midwife workforce data from the National Provider Identifier file determined it undercounted midwives compared to national data available from the American Midwifery Certification Board. This undercount may be due to the existence of three taxonomy categories for midwives when registering for the National Provider Identifier. The objective of this study was to obtain an accurate count of advanced practice midwives using the National Provider Identifier Data.MethodsA recode strategy was created using the NPPES Data Dissemination File for November 7, 2021. The strategy identified advanced practice midwives using education and certification information provided in the “credentials” field. The strategy was validated using the NPPES Data Dissemination File for August 7, 2022 and the gold standard was the American Midwifery Certification Board count of midwives by state for August, 2022. Validation compared the accuracy and precision of the recode to the accuracy and precision of using the advanced practice midwife taxonomy category.ResultsThe recode strategy improved the accuracy and precision of the count of advanced practice midwives compared to the identification of advanced practice midwives using the advanced practice midwife taxonomy category.Conclusions for practiceRecoding the NPPES Data Dissemination File provides a more accurate and precise count of advanced practice midwives than relying on the existing advanced practice midwife taxonomy classification. Researchers can use the NPPES Data Dissemination File when studying the midwifery workforce.

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Alliance for Innovation on Maternal Health: Consensus Bundle on Sepsis in Obstetric Care.

Sepsis in obstetric care is one of the leading causes of maternal death in the United States, with Black, Asian/Pacific Islander, and American Indian/Alaska Native obstetric patients experiencing sepsis at disproportionately higher rates. State maternal mortality review committees have determined that deaths are preventable much of the time and are caused by delays in recognition, treatment, and escalation of care. The "Sepsis in Obstetric Care" patient safety bundle provides guidance for health care teams to develop coordinated, multidisciplinary care for pregnant and postpartum people by preventing infection and recognizing and treating infection early to prevent progression to sepsis. This is one of several core patient safety bundles developed by AIM (the Alliance for Innovation on Maternal Health) to provide condition- or event-specific clinical practices that should be implemented in all appropriate care settings. As with other bundles developed by AIM, the "Sepsis in Obstetric Care" patient safety bundle is organized into five domains: Readiness, Recognition and Prevention, Response, Reporting and Systems Learning, and Respectful, Equitable, and Supportive Care. The Respectful, Equitable, and Supportive Care domain provides essential best practices to support respectful, equitable, and supportive care to all patients. Further health equity considerations are integrated into the elements of each domain.

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New Jersey maternal mortality dashboard: an interactive social-determinants-of-health tool.

The United States maternal mortality (MM) rate is the highest amid developed/industrialized nations, and New Jersey's rate is among the highest. Healthcare professionals, public health officials, and policy makers are working to understand drivers of MM. An interactive data visualization tool for MM and health-related information (New Jersey Maternal Mortality Dashboard [NJMMD]) was recently developed. NJMMD is an open-source application that uses data from publicly available state/federal government sources to provide a cross-sectional, high-level depiction of potential relationships between MM and demographic, social, and public health factors. MM rates or ratios (maternal deaths/1,000 women aged 15-49 years or 100,000 live births, respectively) are available by year (2005-2017), age (5-year [15-49] periods), and race/ethnicity (non-Hispanic White, Black, or Asian; Hispanic; or other), and by contextual social determinants of health (percent insured; percent covered by Medicaid; difference in nulliparous, term, singleton, vertex Cesarian birth rate from New Jersey goal; number of obstetrician/gynecologists or midwives per capita; and poverty rate). Bar graphs also can be produced with these variables. NJMMD is the first publicly available, interactive, state-focused MM tool that takes into account the intersection of social and demographic determinants of health, which play important roles in health outcomes. Trends and patterns in variables associated with MM and health can be identified for New Jersey and each of its 11 counties, and inform areas of focus for further analysis. Outputs may enable researchers, policy makers, and others to develop appropriate interventions and be better positioned to set benchmarks, allocate resources, and evaluate outcomes.

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Implementing the Family-Led Care model for preterm and low birth weight newborns in Malawi: Experience of healthcare workers.

BackgroundEvery Preemie–SCALE developed and piloted the Family-Led Care model, an innovative, locally developed model of care for preterm and low birth weight babies receiving kangaroo mother care.AimThe aim of this study was to describe healthcare workers’ experience using Family-Led Care.SettingThis study was conducted in five health facilities and their catchment areas in Balaka district, Malawi.MethodsThe mixed-methods design, with two data collection periods, included record reviews, observations and questionnaires for facility staff and qualitative interviews with health workers of these facilities and their catchment areas. The total convenience sample comprised 123 health professionals, support staff and non-professional community health workers.ResultsFacility-based staff generally had positive perceptions of Family-Led Care (83%). Knowledge and application-of-knowledge scores were 69% and 52%, respectively. A major change between the first and the second data periods was improvement in client record-keeping. Documentation of newborn vital signs increased from 62% to 92%. Themes emerging from the qualitative interview analysis were the following: benefits of Family-Led Care; activities supporting the implementation of Family-Led Care; own care practices; and families’ reaction to and experience of Family-Led Care.ConclusionThis article reports improved quality of care through better documentation and better follow-up of preterm and low birth weight babies receiving kangaroo mother care according to the Family-Led Care model. Overall, health workers were positive about their involvement, and they reported positive reactions from families. Lessons learned have been incorporated into a universal Family-Led Care package that is available for adaptation by other countries.

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