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      Mapping integration of midwives across the United States: Impact on access, equity, and outcomes

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          Abstract

          Poor coordination of care across providers and birth settings has been associated with adverse maternal-newborn outcomes. Research suggests that integration of midwives into regional health systems is a key determinant of optimal maternal-newborn outcomes, yet, to date, the characteristics of an integrated system have not been described, nor linked to health disparities.

          Methods

          Our multidisciplinary team examined published regulatory data to inform a 50-state database describing the environment for midwifery practice and interprofessional collaboration. Items (110) detailed differences across jurisdictions in scope of practice, autonomy, governance, and prescriptive authority; as well as restrictions that can affect patient safety, quality, and access to maternity providers across birth settings. A nationwide survey of state regulatory experts (n = 92) verified the ‘on the ground’ relevance, importance, and realities of local interpretation of these state laws. Using a modified Delphi process, we selected 50/110 key items to include in a weighted, composite Midwifery Integration Scoring (MISS) system. Higher scores indicate greater integration of midwives across all settings. We ranked states by MISS scores; and, using reliable indicators in the CDC-Vital Statistics Database, we calculated correlation coefficients between MISS scores and maternal-newborn outcomes by state, as well as state density of midwives and place of birth. We conducted hierarchical linear regression analysis to control for confounding effects of race.

          Results

          MISS scores ranged from lowest at 17 (North Carolina) to highest at 61 (Washington), out of 100 points. Higher MISS scores were associated with significantly higher rates of spontaneous vaginal delivery, vaginal birth after cesarean, and breastfeeding, and significantly lower rates of cesarean, preterm birth, low birth weight infants, and neonatal death. MISS scores also correlated with density of midwives and access to care across birth settings. Significant differences in newborn outcomes accounted for by MISS scores persisted after controlling for proportion of African American births in each state.

          Conclusion

          The MISS scoring system assesses the level of integration of midwives and evaluates regional access to high quality maternity care. In the United States, higher MISS Scores were associated with significantly higher rates of physiologic birth, less obstetric interventions, and fewer adverse neonatal outcomes.

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          Most cited references58

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          Beyond too little, too late and too much, too soon: a pathway towards evidence-based, respectful maternity care worldwide.

          On the continuum of maternal health care, two extreme situations exist: too little, too late (TLTL) and too much, too soon (TMTS). TLTL describes care with inadequate resources, below evidence-based standards, or care withheld or unavailable until too late to help. TLTL is an underlying problem associated with high maternal mortality and morbidity. TMTS describes the routine over-medicalisation of normal pregnancy and birth. TMTS includes unnecessary use of non-evidence-based interventions, as well as use of interventions that can be life saving when used appropriately, but harmful when applied routinely or overused. As facility births increase, so does the recognition that TMTS causes harm and increases health costs, and often concentrates disrespect and abuse. Although TMTS is typically ascribed to high-income countries and TLTL to low-income and middle-income ones, social and health inequities mean these extremes coexist in many countries. A global approach to quality and equitable maternal health, supporting the implementation of respectful, evidence-based care for all, is urgently needed. We present a systematic review of evidence-based clinical practice guidelines for routine antenatal, intrapartum, and postnatal care, categorising them as recommended, recommended only for clinical indications, and not recommended. We also present prevalence data from middle-income countries for specific clinical practices, which demonstrate TLTL and increasing TMTS. Health-care providers and health systems need to ensure that all women receive high-quality, evidence-based, equitable and respectful care. The right amount of care needs to be offered at the right time, and delivered in a manner that respects, protects, and promotes human rights.
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            Improvement of maternal and newborn health through midwifery.

            In the concluding paper of this Series about midwifery, we look at the policy implications from the framework for quality maternal and newborn care, the potential effect of life-saving interventions that fall within the scope of practice of midwives, and the historic sequence of health system changes that made a reduction in maternal mortality possible in countries that have expanded their midwifery workforce. Achievement of better health outcomes for women and newborn infants is possible, but needs improvements in the quality of reproductive, maternal, and newborn care, alongside necessary increases in universal coverage. In this report, we propose three priority research areas and outline how national investment in midwives and in their work environment, education, regulation, and management can improve quality of care. Midwifery and midwives are crucial to the achievement of national and international goals and targets in reproductive, maternal, newborn, and child health; now and beyond 2015.
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              The projected effect of scaling up midwifery.

              We used the Lives Saved Tool (LiST) to estimate deaths averted if midwifery was scaled up in 78 countries classified into three tertiles using the Human Development Index (HDI). We selected interventions in LiST to encompass the scope of midwifery practice, including prepregnancy, antenatal, labour, birth, and post-partum care, and family planning. Modest (10%), substantial (25%), or universal (95%) scale-up scenarios from present baseline levels were all found to reduce maternal deaths, stillbirths, and neonatal deaths by 2025 in all countries tested. With universal coverage of midwifery interventions for maternal and newborn health, excluding family planning, for the countries with the lowest HDI, 61% of all maternal, fetal, and neonatal deaths could be prevented. Family planning alone could prevent 57% of all deaths because of reduced fertility and fewer pregnancies. Midwifery with both family planning and interventions for maternal and newborn health could avert a total of 83% of all maternal deaths, stillbirths, and neonatal deaths. The inclusion of specialist care in the scenarios resulted in an increased number of deaths being prevented, meaning that midwifery care has the greatest effect when provided within a functional health system with effective referral and transfer mechanisms to specialist care. Copyright © 2014 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ResourcesRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: ResourcesRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: ResourcesRole: ValidationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: Writing – review & editing
                Role: ValidationRole: Writing – review & editing
                Role: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                21 February 2018
                2018
                : 13
                : 2
                : e0192523
                Affiliations
                [1 ] Birth Place Lab, Department of Family Practice, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
                [2 ] University of Sydney, School of Medicine, Sydney, Australia
                [3 ] Maryland Population Research Center, University of Maryland, College Park, Maryland, United States of America
                [4 ] School of Public Health, Boston University, Boston, Massachusetts, United States of America
                [5 ] Law, Politics and Society, Drake University, Des Moines, Iowa, United States of America
                [6 ] Department of Anthropology, Oregon State University College of Liberal Arts, Corvallis, Oregon, United States of America
                [7 ] Department of Obstetrics and Gynecology, Geisel School of Medicine, Dartmouth University, Lebanon, New Hampshire, United States of America
                [8 ] Health Administration and Policy, George Mason University, Fairfax, Virginia, United States of America
                [9 ] Department of Midwifery, Yale School of Nursing, Orange, Connecticut, United States of America
                University of Rochester, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0001-6396-3638
                Article
                PONE-D-17-24246
                10.1371/journal.pone.0192523
                5821332
                29466389
                38d57ae2-063a-4d8b-9724-e0ed7e53cb53
                © 2018 Vedam et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 27 June 2017
                : 16 January 2018
                Page count
                Figures: 3, Tables: 5, Pages: 20
                Funding
                Funded by: New Hampshire Charitable Foundation
                Award ID: Transforming Birth Fund
                Award Recipient :
                This work was made possible by a grant from the Transforming Birth Fund of the New Hampshire Charitable Foundation https://www.nhcf.org/ and with infrastructure support by the University of British Columbia. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                People and Places
                Population Groupings
                Professions
                Medical Personnel
                Midwives
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Birth
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Birth
                Biology and Life Sciences
                Developmental Biology
                Neonates
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Birth Weight
                Medicine and Health Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Birth Weight
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Breast Feeding
                Medicine and Health Sciences
                Pediatrics
                Neonatology
                Breast Feeding
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Birth
                Labor and Delivery
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Birth
                Labor and Delivery
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Birth
                Preterm Birth
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Birth
                Preterm Birth
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Pregnancy
                Pregnancy Complications
                Preterm Birth
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Pregnancy
                Pregnancy Complications
                Preterm Birth
                Custom metadata
                Data are available from the UBC Abacus Dataverse Network: https://dx.doi.org/10.14288/1.0363296. AIMM Report Card data and corresponding data maps are available at http://www.birthplacelab.org/how-does-your-state-rank and http://birthplacelab.org/maps.

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