Maternal morbidity and mortality in the United States is an urgent public health issue, and there are stark differences by race and ethnicity. Community-based doula care is an evidence-based strategy to improve maternal health through accompaniment, health care engagement, addressing social needs, and promoting respectful care. Yet, there is a gap in access to doula care for people who are low-income or publicly insured, due to cost and availability. New York has recently joined a growing number of states providing Medicaid coverage for doula services. There are many challenges to overcome for this benefit to succeed: limited workforce capacity, minimal integration of doulas into hospitals, and reimbursement challenges. We offer a case study for integrating doula services into hospital-based maternity care: the HOPE Program (Helping Promote Birth-Equity through Community-Based Doula Care). Through community engagement, we have co-designed a model that centers the needs and experiences of birthing people and their care-giving teams. The model illustrates strategies for hospital-community engagement, tailored doula workforce expansion, and integration of doulas into clinical spaces and teams. Investment in these components will lead to a meaningful expansion of doula services to the populations around the state and country who need it most.
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http://dx.doi.org/10.1093/haschl/qxaf033 | DOI Listing |
Am J Hosp Palliat Care
March 2025
Albany Medical College, Albany, NY, USA.
ObjectiveEnd-of-life doulas (EOLDs) offer non-medical support to patients and families, yet little is known regarding how knowledgeable and receptive gynecologic oncologists are to EOLDs.MethodsMembers of the New England Association of Gynecologic Oncologists (NEAGO) were surveyed regarding demographics and familiarity with and attitudes towards EOLDs. Descriptive statistics described demographics.
View Article and Find Full Text PDFHealth Aff Sch
March 2025
NYC Department of Health and Mental Hygiene, Bureau of Maternal Infant and Reproductive Health, Long Island City, NY 11101, United States.
Maternal morbidity and mortality in the United States is an urgent public health issue, and there are stark differences by race and ethnicity. Community-based doula care is an evidence-based strategy to improve maternal health through accompaniment, health care engagement, addressing social needs, and promoting respectful care. Yet, there is a gap in access to doula care for people who are low-income or publicly insured, due to cost and availability.
View Article and Find Full Text PDFPLoS One
March 2025
University of British Columbia Faculty of Medicine, Vancouver, British Columbia, Canada.
Introduction: Equitable and safe access to abortion is essential for reproductive autonomy. Despite decriminalization in 1988, barriers to accessing abortion in Canada persist, particularly for people in underserved groups. Doulas, working in a non-clinical and unregulated supportive role, may facilitate access to family planning services, but evidence about the scope, role, training, and efficacy of doulas in abortion care is lacking.
View Article and Find Full Text PDFMatern Child Health J
February 2025
Department of Obstetrics and Gynecology, VCU Health, Richmond, VA, USA.
Purpose: Our facility aimed to establish a standardized process to guide healthcare team members to incorporate doulas in the labor and delivery setting while meeting regulatory and safety requirements and promoting operational transparency.
Description: Doulas provide emotional, physical, and educational support to patients and families throughout the pregnancy, birth, and postpartum journey. Doula care has been identified with improved maternal and neonatal birth outcomes, as well as improved perceptions of the birthing process.
BMC Pregnancy Childbirth
February 2025
Mother and Child Welfare Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Background: Despite the known benefits of skin-to-skin contact (SSC), limited data exists on its implementation, especially its influencing factors. The current study was designed to use machine learning (ML) to identify the predictors of SSC.
Methods: This study implemented predictive SSC approaches based on the data obtained from the "Iranian Maternal and Neonatal Network (IMaN Net)" from January 2020 to January 2022.
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