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This paper aims to propose and provide an overview of a model analysis that considers the main spatial design attributes that influence and produce the most relevant salutogenic outcomes. These results are essential for a healthy work experience, especially in shared workspaces.

This study departs from the theoretical contributions of the salutogenic approach, principles from supportive design theory, psychosocial supportive design and the environmental demands and resources model. After a scoping literature review covering different fields of workspace design, environmental psychology and evidence-based design of health-care facilities, a conceptual analysis is done on a proposed understanding of work, health and environmental relations to overview spatial attributes that enhance specific salutogenic and well-being-promoting outcomes needed for a healthy work experience.

The model of analysis, as a theoretical element that helps create methodological tools, combined with the application of a post occupancy evaluation, is thought to assist architects, designers, workspace owners and stakeholders in their new designs or to evaluate existing ones.

Studies on defining spatial attributes and their intended salutogenic outcomes have been formally done in health-care facilities. However, applying this idea to shared workspaces is something new and is expected to contribute to their design and evaluation, especially if the notion of environmental demands and resources is complemented.

The study examines health care inequities in viral load testing among hepatitis C (HCV) antibody-positive patients. The analysis predicts whether individual and census tract sociodemographic characteristics impact the likelihood of viral load testing.

This a study of 26,218 HCV antibody-positive patients in Orange County, California, from 2010 to 2020. The case data were matched with the 2017 American Community Survey to help understand the role of neighborhood socioeconomic characteristics in testing for viral load. Multivariable logistic regression was used to predict the probability of ever testing for HCV viral load.

Thirty-six percent of antibody-positive persons were never viral load tested. The results show inequalities in viral load testing by sociodemographic factors. The following groups were less likely to ever test for viral load than their counterparts: (1) individuals under 65 years old, (2) females, (3) residents of census tracts with lower levels of health insurance enrollment, (4) residents of census tracts with lower levels of government health insurance, and (5) residents of census tracts with a higher proportion of non-white residents.

This is a secondary database from public health department reports. Using census tract data raises the issue of the ecological fallacy. Detailed medical records were not available. The results of this study emphasize the social inequality in viral load testing for HCV. These groups are less likely to be treated and cured, and may spread the disease to others.

This chapter is unique as it combines routinely collected public health department data with census tract level data to examine social inequities associated with lower rates of HCV viral load testing.