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Updated: Mar 21, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
User Evaluation of Neonatology Ward Design
Juan Luis Higuera Trujillo1, Antoni Montañana I Aviñó1, Carmen Llinares Millán1
11 Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano (I3BH)-LabHuman, Universidad Politécnica de Valencia, Valencia, Spain.
Objective:
The object of this article is to identify the set of affective and emotional factors behind users' assessments of a space in a neonatology unit and to propose design guidelines based on these.
Background:
The importance of the neonatology service and the variety of users place great demands on the space at all levels. Despite the repercussions, the emotional aspects of the environment have received less attention.
Methods:
To avoid incurring limitations in the user mental scheme, this study uses two complementary methodologies: focus group and semantic differential. The (qualitative) focus group methodology provides exploratory information and concepts. The (quantitative) semantic differential methodology then uses these concepts to extract the conceptual structures that users employ in their assessment of the space. Of the total 175 subjects, 31 took part in focus groups and 144 in semantic differential.
Results:
Five independent concepts were identified: privacy, functionality and professional nature, spaciousness, lighting, and cleanliness. In relation to the importance of the overall positive assessment of the space, the perception of privacy and sensations of dominance and pleasure are fundamental. Six relevant design aspects were also identified: provide spacious surroundings, facilitate sufficient separation between the different posts or cots, use different colors from those usually found in health-care centers, as some aversion was found to white and especially green, design areas with childhood themes, use warm artificial light, and choose user-friendly equipment.
Conclusions:
Results provide design recommendations of interest and show the possibilities offered by combining both systems to analyze user response.
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