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Developing a multimodal maternal infant perinatal outpatient delivery system: the MOMI PODS program.
Bose Brill, Seuli; Juckett, Lisa A; D'Amico Gordon, Rachel; Thomas, Nikki; Bunger, Alicia; Fareed, Naleef; Voisin, Christiane; Flores, Paola; Mao, Shengyi; Benninger, Kristen L; Grobman, William; Panchal, Bethany; Gillespie, Shannon; Lorenz, Allison.
Afiliação
  • Bose Brill S; Division of General Internal Medicine, Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, OH, United States.
  • Juckett LA; Division of Occupational Therapy, School of Health and Rehabitiation Sciences, The Ohio State University College of Medicine, Columbus, OH, United States.
  • D'Amico Gordon R; Division of General Internal Medicine, Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, OH, United States.
  • Thomas N; Center for the Advancement of Team Science, Analytics, and Systems Thinking, The Ohio State University, Columbus, OH, United States.
  • Bunger A; College of Social Work, The Ohio State University, Columbus, OH, United States.
  • Fareed N; Department of Biomedical Informatics, The Ohio State University, Columbus, OH, United States.
  • Voisin C; Division of General Internal Medicine, Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, OH, United States.
  • Flores P; Division of General Internal Medicine, Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, OH, United States.
  • Mao S; Division of General Internal Medicine, Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, OH, United States.
  • Benninger KL; Department of Neonatology, Nationwide Children's Hospital, Columbus, OH, United States.
  • Grobman W; Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, The Ohio State University College of Medicine, Columbus, OH, United States.
  • Panchal B; Department of Family and Community Medicine, The Ohio State University College of Medicine, Columbus, OH, United States.
  • Gillespie S; College of Nursing, The Ohio State University, Columbus, OH, United States.
  • Lorenz A; Ohio Colleges of Medicine Government Resource Center, The Ohio State University, Columbus, OH, United States.
Front Glob Womens Health ; 4: 1232662, 2023.
Article em En | MEDLINE | ID: mdl-37811534
ABSTRACT
Progress in maternal child health has been hampered by poor rates of outpatient follow up for postpartum individuals. Primary care after delivery can effectively detect and treat several pregnancy-related complications and comorbidities, but postpartum linkage to primary care remains low. In this manuscript, we share the experience of implementing a novel mother-infant dyad program, the Multimodal Maternal Infant Perinatal Outpatient Delivery System (MOMI PODS), to improve primary care linkage and community resource access postpartum via integration into pediatric care structures. With a focus on providing care for people who are publicly insured, we designed a program to mitigate maternal morbidity risk factors in postpartum individuals with chronic disease or pregnancy complications. We discuss the systematic process of designing, executing, and evaluating a collaborative clinical program with involvement of internal medicine/pediatric, family medicine, and obstetric clinicians via establishing stakeholders, identifying best practices, drawing from the evidence base, designing training and promotional materials, training partners and providers, and evaluating clinic enrollment. We share the challenges encountered such as in achieving sufficient provider capacity, consistent provision of care, scheduling, and data tracking, as well as mitigation strategies to overcome these barriers. Overall, MOMI PODS is an innovative approach that integrates outpatient postpartum care into traditional pediatric structures to increase access, showing significant promise to improve healthcare utilization and promote postpartum health.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article