Sherman JP, Hedli LC, Kristensen-Cabrera AI, Lipman SS, Schwandt D, Lee HC, Sie L, Halamek LP, Austin NS. Understanding the Heterogeneity of Labor and Delivery Units: Using Design Thinking Methodology to Assess Environmental Factors that Contribute to Safety in Childbirth.
Am J Perinatol 2020;
37:638-646. [PMID:
31013540 PMCID:
PMC6989398 DOI:
10.1055/s-0039-1685494]
[Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
OBJECTIVE
There is limited research exploring the relationship between design and patient safety outcomes, especially in maternal and neonatal care. We employed design thinking methodology to understand how the design of labor and delivery units impacts safety and identified spaces and systems where improvements are needed.
STUDY DESIGN
Site visits were conducted at 10 labor and delivery units in California. A multidisciplinary team collected data through observations, measurements, and clinician interviews. In parallel, research was conducted regarding current standards and codes for building new hospitals.
RESULTS
Designs of labor and delivery units are heterogeneous, lacking in consistency regarding environmental factors that may impact safety and outcomes. Building codes do not take into consideration workflow, human factors, and patient and clinician experience. Attitude of hospital staff may contribute to improving safety through design. Three areas in need of improvement and actionable through design emerged: (1) blood availability for hemorrhage management, (2) appropriate space for neonatal resuscitation, and (3) restocking and organization methods of equipment and supplies.
CONCLUSION
Design thinking could be implemented at various stages of health care facility building projects and during retrofits of existing units. Through this approach, we may be able to improve hospital systems and environmental factors.
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