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. 2022 Oct 28;23(6):802-810.
doi: 10.5811/westjem.2022.8.55705.

Association of Social Needs and Housing Status Among Urban Emergency Department Patients

Affiliations

Association of Social Needs and Housing Status Among Urban Emergency Department Patients

Kadia Wormley et al. West J Emerg Med. .

Abstract

Introduction: People experiencing homelessness have high rates of social needs when presenting for emergency department (ED) services, but less is known about patients with housing instability who do not meet the established definitions of homelessness.

Methods: We surveyed patients in an urban, safety-net ED from June-August 2018. Patients completed two social needs screening tools and responded to additional questions on housing. Housing status was determined using validated questions about housing stability.

Results: Of the 1,263 eligible patients, 758 (60.0%) completed the survey. Among respondents, 40% identified as Latinx, 39% Black, 15% White, 5% Asian, and 8% other race/ethnicities. The median age was 42 years (interquartile range [IQR]: 29-57). and 54% were male. Of the 758 patients who completed the survey, 281 (37.1%) were housed, 213 (28.1%) were unstably housed, and 264 (34.8%) were homeless. A disproportionate number of patients experiencing homelessness were male (63.3%) and Black (54.2%), P <0.001, and a disproportionate number of unstably housed patients were Latinx (56.8%) or were primarily Spanish speaking (49.3%), P <0.001. Social needs increased across the spectrum of housing from housed to unstably housed and homeless, even when controlling for demographic characteristics.

Conclusion: Over one in three ED patients experience homelessness, and nearly one in three are unstably housed. Notable disparities exist by housing status, and there is a clear increase of social needs across the housing spectrum. Emergency departments should consider integrating social screening tools for patients with unstable housing.

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Conflict of interest statement

Conflicts of Interest: By the WestJEM article submission agreement, all authors are required to disclose all affiliations, funding sources and financial or management relationships that could be perceived as potential sources of bias. No author has professional or financial relationships with any companies that are relevant to this study. There are no conflicts of interest or sources of funding to declare.

Figures

Figure 1
Figure 1
Results from regression analysis and estimated coefficients associated with housing status.

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