OB Nest: Reimagining Low-Risk Prenatal Care

Autor: Katharine M. Nesbitt, Bobbie S. Gostout, Mekayla Beaver, Matthew R. Gardner, Daniel A. O'Neil, Andrea T. Brown, Roger W. Harms, Brian C. Brost, Barbara Barry, Lorna M. Ross, Amy J. Jasik, Rachael L. Hodny, Rajeev Chaudhry, Marnie J. Meylor de Mooij, Susan M. Skinner, Susan M. Sobolewski
Rok vydání: 2018
Předmět:
Zdroj: Mayo Clinic Proceedings. 93:458-466
ISSN: 0025-6196
DOI: 10.1016/j.mayocp.2018.01.022
Popis: Using a human-centered design method, our team sought to envision a new model of care for women experiencing low-risk pregnancy. This model, called OB Nest, aimed to demedicalize the experience of pregnancy by providing a supportive and empowering experience that fits within patients' daily lives. To explore this topic, we invited women to use self-monitoring tools, a text-based smartphone application to communicate with their care team, and moderated online communities to connect with other pregnant women. Through observations of tool use and patient- and care team-provided feedback, we found that self-measurement and access to a fetal heart monitor provided women with confidence and joy in the progress of their pregnancies while shifting their position to being an active participant in their care. The smartphone application gave women direct access to their care team, provided continuity, and removed hurdles in establishing communication. The online community platform was a space where women in the same obstetric clinic could share nonmedical questions and advice with one another. This created a sense of community, leveraged the knowledge of women, and provided a venue beyond the clinic visit for information exchange. These findings were integrated into the design of the Mayo Clinic OB Nest model. This model redistributes care based on the individual needs of patients by providing self-measurement tools and continuous flexible access to their care team. By enabling women to meaningfully participate in their care, there is potential for cost savings and improved patient satisfaction.
Databáze: OpenAIRE