Homeless Status Research Articles

Suicide and self-injury-related emergency department visits and homelessness among adults 25–64 years old from 2016 to 2021 in the USA

BackgroundDespite pronounced increases in homelessness and mental health problems in the USA over the past decade, further exacerbated during the pandemic, and the higher prevalence of mental health conditions among...

Food Insecurity Status and Health Care Utilization Among COPD Patients: A Retrospective Study.

Government programs-targeting chronic disease patients with high health care costs-focus on clinical conditions, factors internal to the health care system, and individual patient education, not on addressing modifiable social determinants of health to reduce health care utilization. To evaluate differences in sociodemographic variables and health care utilization between patients with chronic obstructive pulmonary disease (COPD) who reported food insecurity and those who did not. This descriptive retrospective cross-sectional study used data from the electronic health records of a convenience sample of 854 participants with a discharge diagnosis of COPD or COPD with acute exacerbation, admitted via the emergency department of participating hospitals in Southern California. Chi-square (or Fisher's exact) tests and t tests were used to evaluate group differences, and multivariate (or Firth) logistic regression to identify factors that increased the odds of emergency department visits and hospitalizations. Significant differences between groups were identified for food insecurity (sometimes or often vs never insecure) and age (P < .001), race (P = .022), medical insurance (P < .001), zip code (P = .022), homeless status (P < .001), smoking status (P < .001), and emergency department visits (P = .033). No significant differences were found for food insecurity and hospitalizations (P = .592). This study contributes to the growing body of research supporting the association of upstream social factors (food insecurity, homelessness, zip code) and downstream health outcomes (repeated emergency room visits), and how existing programs can be effectively utilized to impact downstream health outcomes such as health care utilization.

Influence of trauma on longitudinal association between depressive symptoms and use of alcohol and cannabis among young people.

Trauma, depressive symptoms, and the use of alcohol and drugs are common among youth, especially those with marginalized racial/ethnic identities, sexual and gender minority youth (SGMY), and those with low socioeconomic status, homelessness, and HIV-positive status. However, most research on trauma, depression, and substance use among such youth is cross-sectional. This article examines these patterns over time. Participants were youth with multiple life challenges (N = 1,728) recruited from 13 community-based agencies and health centers in Los Angeles, CA, and New Orleans, LA, and reassessed twice at 4-month intervals over 8 months (follow-up > 70%). Youth were predominantly Black, Latiné, and SGMY, with an average age of 21 years (range 12-24). We analyzed the association between trauma, depression, and substance use using a Bayesian approach to latent growth curve modeling. Trauma had a robust, positive association with depressive symptoms and substance use, although this association differed depending on whether alcohol or cannabis use was examined. Higher levels of trauma were also associated with a slower decline in depressive symptoms over time. Study findings highlight the longitudinal association between trauma and both depression and substance use. This suggests the potential utility of trauma-focused interventions among vulnerable youth with one or both of these issues. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Review of Local Homeless Mortality Efforts: A Call for Standardized Data and Reporting.

There are currently no national estimates of how many people die while unhoused in the US. Local jurisdictions have developed their own approaches for estimating homeless mortality. We aimed to examine these local approaches, document what is known about homeless mortality, and summarize local methodologies. We reviewed 17 publicly available homeless mortality reports (ie, gray literature). Reports were sought from government, Health Care for the Homeless, coalition to end homelessness, and other advocacy and social service websites. From each report, we extracted the number of homeless deaths, dates of observation, data source(s) used, determination of homeless status, manners and causes of death, and decedent demographics. Data collection and reporting on homeless mortality varied greatly across reports. This variation limits aggregation across reports. Medical examiner data was the most used data source. Manner of death was the most consistently collected field, with accidental deaths reported as the most prevalent manner of homeless deaths. Not all reports listed specific causes of death, but those that did reported toxicity (eg, overdose) and cardiovascular causes as most prevalent. The most granular age category of most homeless decedents was 40 to 60years. On average, 80% of decedents were of male sex. While over half of reports included race and ethnicity information, disparities could not be estimated without suitable denominators. Standardized data collection and reporting guidance is needed for homeless mortality. Health departments can work with local Health Care for the Homeless programs and Continuums of Care to establish data sharing processes. Matching vital statistics with homeless service utilization records may be one opportunity to improve these efforts. Until there is federal or national guidance on these standards, localities can consider adding housing or homelessness variables as optional or mandatory fields in electronic death reporting systems.

Identifying homelessness using health administrative data in Ontario, Canada: how coding policies impact case validity

Conducting longitudinal research about the health of people experiencing homelessness poses unique challenges. In Canada, we previously demonstrated that identification through health administrative databases permits population-level studies, despite relatively low sensitivity. Since then, coding of homelessness became mandatory in hospitals nationally. As a result, case validity since 2018 is unknown. We re-validated case definitions for identifying homelessness in health administrative databases between 2018 and 2022 against the longitudinally collected housing history of a representative sample of people experiencing homelessness (n=640) and randomly selected, housed people (n=128,000) in Toronto, Canada. We calculated sensitivity, specificity, positive and negative predictive values, and positive likelihood ratios for 42 unique case definitions. We compared the resulting true positives against false positives and false negatives to identify potential causes of misclassification. The optimal case (best sensitivity/scalability beyond Ontario) definition included any indicator during a hospital-based encounter within 180 days of a period of homelessness (sensitivity=52.9%; specificity=99.5%). Among periods of homelessness with ≥1 hospital-based encounter, the optimal case definition had good sensitivity (75.1%) with minimal reduction in specificity (98.5%). Review of false positives suggests homeless status is sometimes improperly carried forward in healthcare encounters occurring after transitioning out of homelessness. Case definitions to identify homelessness using health administrative data exhibit moderate sensitivity and excellent specificity, with two-fold increases in sensitivity since the implementation of mandatory coding in Canada. Mandatory collection of social determinants of health information within administrative data present invaluable opportunities for advancing research on the health and healthcare needs of people experiencing homelessness.

Disparities in diabetes processes of care among people experiencing homelessness: An opportunity for intervention

AimsTo compare processes of diabetes care by homeless status. MethodsA population-based propensity matched cohort study was conducted in Ontario, Canada. People with diabetes were identified in administrative healthcare data between April 2006 and March 2019. Those with a documented history of homelessness were matched to non-homeless controls. Data on processes of care measures included glucose monitoring tests, screening for microvascular complications, and physician follow-up. Differences in processes of care were compared by homeless status using proportions, risk ratios, and rate ratios. ResultsOf the 1,076,437 people with diabetes, 5219 matched pairs were identified. Homelessness was associated with fewer tests for glycated hemoglobin (RR = 0.63; 95 %CI: 0.60–0.67), LDL cholesterol (RR = 0.80; 95 %CI: 0.78–0.82), serum creatinine (RR = 0.94; 95 %CI: 0.92–0.97), urine protein quantification (RR = 0.62; 95 %CI: 0.59–0.66), and eye examinations (RR = 0.74; 95 %CI: 0.71–0.77). People with a history of homelessness were less likely to use primary care for diabetes management (RR = 0.62; 95 %CI: 0.59–0.66) or specialist care (RR = 0.87; 95 %CI: 0.83–0.91) compared to non-homeless controls. ConclusionsDisparities in diabetes care are evident for people with a history of homelessness and contribute to excess morbidity in this population. These data provide an impetus for investment in tailored interventions to improve healthcare equity and prevent long-term complications.

Identification of homelessness using health administrative data in Ontario, Canada following a national coding mandate: a validation study

ObjectivesConducting longitudinal health research about people experiencing homelessness poses unique challenges. Identification through administrative data permits large, cost-effective studies; however, case validity in Ontario is unknown after a 2018 Canada-wide policy change mandating homelessness coding in hospital databases. We validated case definitions for identifying homelessness using Ontario health administrative databases after introduction of this coding mandate. Study Design and SettingWe assessed 42 case definitions in a representative sample of people experiencing homelessness in Toronto (n = 640) from whom longitudinal housing history (ranging from 2018 to 2022) was obtained, and a randomly selected sample of presumably housed people (n = 128,000) in Toronto. We evaluated sensitivity, specificity, positive and negative predictive values, and positive likelihood ratios to select an optimal definition, and compared the resulting true positives against false positives and false negatives to identify potential causes of misclassification. ResultsThe optimal case definition included any homelessness indicator during a hospital-based encounter within 180 days of a period of homelessness (sensitivity = 52.9%; specificity = 99.5%). For periods of homelessness with ≥1 hospital-based healthcare encounter, the optimal case definition had greatly improved sensitivity (75.1%) while retaining excellent specificity (98.5%). Review of false positives suggested that homeless status is sometimes erroneously carried forward in healthcare databases after an individual transitioned out of homelessness. ConclusionCase definitions to identify homelessness using Ontario health administrative data exhibit moderate to good sensitivity and excellent specificity. Sensitivity has more than doubled since the implementation of a national coding mandate. Mandatory collection and reporting of homelessness information within administrative data present invaluable opportunities for advancing research on the health and healthcare needs of people experiencing homelessness.

Substance-related poisoning hospitalizations and homelessness in Canada: a descriptive study.

The objective of this analysis is to describe patient demographics, the context, characteristics and outcomes of a substance-related poisoning, and the recorded mental disorder of people with housing and those experiencing homelessness. Hospitalization data for Canada (except Quebec) from 1 April 2019 to 31 March 2020 were retrieved from the Canadian Institute for Health Information (CIHI) Discharge Abstract Database using ICD-10-CA codes for up to 25 diagnoses for substance-related poisonings, homelessness status and other characteristics relevant to the patient's hospitalization. We compared the characteristics of people experiencing homelessness with those of people who were housed, and their substance-related poisoning hospitalizations, using chi-square, t tests and Fisher exact test. There was a higher proportion of males, younger individuals and people with recorded mental disorders among people experiencing homelessness hospitalized for a substance-related poisoning than among their housed counterparts. Substance-related poisonings among people experiencing homelessness were more likely to be accidental, involve opioids and stimulants (most frequently fentanyl and its analogues and heroin), result in lengthier hospitalizations and end with leaving the hospital against medical advice. These findings can be used to strengthen strategies and interventions to reduce substance-related harms in priority populations, particularly those experiencing homelessness.

‘Back Off! Stop Making US Illegal!’: The Criminalisation of Homelessness in Australia

In Australia, vagrancy and public order laws have been used to criminalise homelessness since colonisation. Such laws have never provided an effective deterrent against ‘offending’ because most crimes committed by homeless people are survival-related or otherwise associated with their homeless status. It is generally agreed that a welfare-oriented rather than a punitive approach is needed if these ‘crimes’ are to be prevented, however the perspectives of homeless people on this subject remain largely unknown. We undertook a national study where we asked homeless individuals and criminal law practitioners to comment on whether and how criminal law processes could respond more appropriately to the ‘offending’ behaviour of homeless people. Practitioners viewed criminal law interventions as an opportunity to connect homeless individuals with the services they required. However, the homeless participants were not supportive of mandated social service intervention. They eschewed a criminal identity and wanted state actors to leave them alone.

Who enrolls and why? Examining center-specific underlying patterns behind enrollment: a New York City-based traumatic brain injury model systems study

ABSTRACT Background To elucidate the sociodemographic and study factors involved in enrollment in the Traumatic Brain Injury Model System (TBIMS) database, this study examined the effect of a variety of variables on enrollment at a local TBIMS center. Methods A sample of 654 individuals from the local TBIMS center was studied examining enrollment by age, gender, race, ethnicity, homelessness status at date of injury, history of homelessness, health insurance status, presence of social support, primary language, consenting in hospital or after discharge, and the need for an interpreter. Binary logistic regression was conducted to identify variables that predict center-based enrollment into TBIMS. Results Results demonstrated that older age was associated with decreasing enrollment (OR = 0.99, p = 0.01), needing an interpreter made enrollment less likely (OR = 0.33, p < 0.01), being primarily Spanish speaking predicted enrollment (OR = 3.20, p = 0.02), Hispanic ethnicity predicted enrollment (OR = 7.31, p = 0.03), and approaching individuals in the hospital predicted enrollment (OR = 6.94, p < 0.01). Here, OR denotes the odds ratio estimate from a logistic regression model and P denotes the corresponding p-value. Conclusions These results can be useful in driving enrollment strategies at this center for other similar TBI research, and to contribute a representative TBI sample to the national database.

노숙인의 정신적 습관 형성에 영향을 미친 경험

Mental habits could be considered a major determinant not only of physical health behaviors and status but also of mental health. However, there has been limited research on the concept of mental habits in Korea and internationally. As homeless people experience mental health issues more frequently than the general population, early detection and management could be crucial for improving their mental health. Therefore, this study aims to conduct a phenomenological study to discover common experiences of the homeless, focusing on the formation process of mental habits. Through the analysis of in-depth interviews with 12 homeless people, 21 themes, 11 theme clusters, and 6 categories were derived. The results suggested that the mental habits of the homeless were formed through experiences including social disconnection, addiction, unethical behavior, economic difficulties, social exclusion, chronic problematic environments, and intrinsic motivations for life. From childhood to the current homeless status, various experiences have led to complicated interactions affecting the interviewees in multiple ways: a single event could lead to multiple mental habits, or a combination of experiences could develop a single mental habit. Therefore, policies for homeless people should not simply aim to provide shelter but should also aim to end homelessness through supports for sustainable living. This should be built on an understanding of their experiences including life before homelessness, the process of becoming homeless, and their experiences as homeless individuals. Based on this, the researchers' policy recommendations are as follows: First, programs for the homeless should proactively aim to eliminate discrimination. Second, interventions for mental habits should incorporate specific and non-specific interventions. Lastly, interventions for the mental health of homeless people should focus on creating intrinsic motivations.

Homelessness Among Sexual Minority Youth.

This study examines the prevalence and types of homelessness experienced by sexual minority and heterosexual youth. Then, we examine whether state-level nondiscrimination policies and/or public attitudes on sexual diversity are associated with reduced homelessness among sexual minority youth. Finally, we investigate the differences in health risk behaviors at the intersections of sexual minority and homelessness status. We conducted a secondary data analysis using a large population-based sample from 21 states collected in the 2017 and 2019 Youth Risk Behavior Surveys. Self-reported data were obtained from sexual minority (n = 28 405) and heterosexual (n = 136 232) youth through a survey administered in high schools. We assessed the prevalence of homelessness and the types of homelessness. Sexual minority-stratified bivariate and multivariable analyses assessed associations between homelessness, state-level policy and cultural environments, and health-risk behaviors. Sexual minority youth were significantly more likely (12%) to be homeless compared with heterosexual youth (4.1%). Greater acceptance of sexual diversity at the state-level was associated with reduced homelessness among both sexual minority and heterosexual youth. Finally, homeless sexual minority youth experienced a broad array of health risk behaviors in excess of both nonhomeless sexual minority youth and homeless heterosexual youth. Sexual minority high school students were more likely to experience homelessness than their heterosexual peers. Public attitudes and greater acceptance of sexual diversity were associated with lower levels of sexual minority homelessness. More research and public health programs are needed to prevent and address homelessness among sexual minority youth.

Firearm injury among people experiencing homelessness: Cross-sectional evidence from a national survey of United States emergency departments

ObjectivesPersons experiencing homelessness (PEH) are at high risk for violent victimization. This study leverages unique data from a national study in the United States of America to provide estimates of non-fatal firearm injury among PEH and to describe the contexts related to injury, such as substance use, intent of the injury, and precipitating interpersonal factors. Study designCross-sectional. MethodsData from the 1993–2020 National Electronic Injury Surveillance System-Firearm Injury Surveillance Study (NEISS-FISS) were used to describe the context and characteristics of non-fatal firearm injury among PEH aged 16 years or older. Homeless status and substance use data were extracted from a de-identified narrative field. Estimates were weighted to account for the NEISS-FISS complex sampling design. ResultsProbable homelessness was identified in 0.10% of cases (n = 3,225). Substance use was documented in 22.73% of cases. Assault comprised 82.64% of injuries. Patients were mostly male (81.38%). Missing data were common on contextual variables: verbal argument (64.62%), physical fight (54.48%) or other criminal activity (62.33%). ConclusionsAssault is a leading cause of non-fatal firearm injury for PEH and is greater than rates of assault in non-fatal firearm injuries in the general population. Substance use was documented in nearly one quarter of patients, although this is less than expected given prior evidence. Reliance on narrative fields for key variables likely underestimates rates of PEH and substance use.

The Association Between Homelessness and Key Liver-Related Outcomes in Veterans With Cirrhosis.

Homelessness adversely affects patient outcomes in broad cohort studies; however, its impact on key liver-related outcomes in patients with cirrhosis is understudied. We aimed to address this knowledge gap using data from the Veterans Health Administration, a cohort disproportionately affected by homelessness. This was a retrospective cohort study of the Veterans Health Administration patients with incident cirrhosis diagnosis between January 2008 and February 2022. Homeless status was classified at baseline and as time-updating variable during follow-up. Inverse probability treatment weighted Cox regression was performed to evaluate the association between homelessness and outcomes of all-cause mortality, cirrhosis decompensation, and hepatocellular carcinoma. A total of 117,698 patients were included in the cohort, of whom 14,243 (12.1%) were homeless at baseline. In inverse probability treatment weighted Cox regression, homelessness was associated with a 24% higher hazard of all-cause mortality (hazard ratio [HR] 1.24, 95% confidence interval [CI] 1.22-1.26, P < 0.001). However, in competing risk regression models, homelessness was associated with a reduced subhazard of decompensation (subhazard ratio 0.86, 95% CI 0.84-0.88, P < 0.001) and hepatocellular carcinoma (subhazard ratio 0.86, 95% CI 0.83-0.89, P < 0.001). In cause-specific mortality analysis, homeless patients had significantly increased non-liver-related and liver-related mortality; however, the magnitude of effect size was greater for non-liver-related mortality (csHR 1.38, 95% CI 1.35-1.40, P < 0.001). Homelessness in veterans with cirrhosis is associated with increased all-cause mortality; however, this is likely mediated primarily through non-liver-related factors. Future studies are needed to explore drivers of mortality and improve mitigation strategies in these patients.

QuickStats: Rate* of Emergency Department Visits,† by Homeless Status§ - National Hospital Ambulatory Medical Care Survey, United States, 2010-2021.

QuickStats: Rate* of Emergency Department Visits,† by Homeless Status§ - National Hospital Ambulatory Medical Care Survey, United States, 2010-2021.

Differences in Risks for Recurrent Injury and Death Among Survivors of Violence by Homeless Status.

A better understanding of the unique risks for survivors of violence experiencing homelessness could enable more effective intervention methods. The aim of this study was to quantify the risks of death and reinjury for unhoused compared to housed survivors of violent injuries. This retrospective study included a cohort of patients with known housing status presenting to the Boston Medical Center Emergency Department between 2009 and 2018 with a violent penetrating injury. Cox proportional hazards regression models were used to estimate hazard ratios (HR) and 95% confidence intervals (95% CI) for the risks of all-cause mortality and violent reinjury. Of the 2330 patients included for analysis, 415 (17.8%) were unhoused at the time of index injury. Within 3years of the index injury, there were 319 (13.9%) violent reinjuries and 55 (2.4%) deaths. Unhoused patients were more likely than housed patients to be violently reinjured by all causes (HR = 1.39, 95% CI = 1.06-1.83, p = 0.02), by stab wound (HR = 2.34, 95% CI = 1.33-4.11, p = 0.0003), and by blunt assault (HR = 1.52, 95% CI = 1.05-2.21, p = 0.03). Housed and unhoused patients were equally likely to die within 3years of their index injury; however, unhoused patients were at greater risk of dying by homicide (HR = 2.89, 95% CI = 1.34-6.25, p = 0.006) or by a drug/alcohol overdose (HR = 2.86, 95% CI = 1.17-6.94, p = 0.02). In addition to the already high risks that all survivors of violence have for recurrent injuries, unhoused survivors of violence are at even greater risk for violent reinjury and death and fatal drug/alcohol overdose. Securing stable housing for survivors of violence experiencing homelessness, and connecting them with addiction treatment, is essential for mitigating these risks.

Phencyclidine Positivity on Urine Drug Screening in Patients Treated for Alcohol Withdrawal on a Dual-diagnosis Medically Assisted Withdrawal Unit.

Little contemporary research has explored phencyclidine (PCP) use in people with alcohol use disorder. Therefore, we sought to determine the prevalence of PCP positivity on urine toxicology screening among patients admitted for alcohol withdrawal, identify correlates of PCP positivity, and investigate PCP positivity's relationship to length of stay (LOS) and risk of facility readmission. This was a retrospective study of patients admitted to a dual-diagnosis medically assisted withdrawal unit for alcohol withdrawal from 2014 to 2019. Univariate tests and logistic regression were used to investigate potential correlates of PCP positivity on admission toxicology screening (primary outcome). Multivariable linear regression models and survival analyses analyzing LOS and risk of readmission (secondary outcomes) were also developed. Ninety of 3731 patients (2.4%) screened positive for PCP. There were significant associations on univariate testing between PCP positivity and age, race, homeless status, and urine toxicology positivity for amphetamines, benzodiazepines, barbiturates, cocaine, tetrahydrocannabinol, and oxycodone. On multivariate logistic regression, only tetrahydrocannabinol, barbiturates, and cocaine positivity were associated with PCP positivity. Multivariate logistic regression and survival analysis found no statistically significant associations between PCP positivity and LOS or risk of readmission. This study provides rare analysis of contemporary data on PCP use among patients undergoing medically assisted alcohol withdrawal. Phencyclidine positivity was uncommon, but use appears considerably higher among this patient population than the general population. There was no significant association between PCP positivity and LOS or readmission risk.

Cold-related injuries among patients experiencing homelessness in Toronto: a descriptive analysis of emergency department visits.

Homelessness increases the risk of cold-related injuries. We examined emergency department visits for cold-related injuries in Toronto over a 4-year period, comparing visits for patients identified as homeless to visits for patients not identified as homeless. This descriptive analysis of visits to emergency departments in Toronto between July 2018 and June 2022 used linked health administrative data. We measured emergency department visits with cold-related injury diagnoses among patients experiencing homelessness and those not identified as homeless. Rates were expressed as a number of visits for cold-related injury per 100,000 visits overall. Rate ratios were used to compare rates between homeless vs. not homeless groups. We identified 333 visits for cold-related injuries among patients experiencing homelessness and 1126 visits among non-homeless patients. In each of the 4years of observation, rate ratios ranged between 13.6 and 17.6 for cold-related injuries overall, 13.7 and 17.8 for hypothermia, and 10.3 and 18.3 for frostbite. Rates per 100,000 visits in the fourth year (July 2021 to June 2022) were significantly higher than in the pre-pandemic period. Male patients had higher rates, regardless of homelessness status; female patients experiencing homelessness had higher rate ratios than male patients experiencing homelessness. Patients experiencing homelessness visiting the emergency department are much more likely to be seen for cold-related injuries than non-homeless patients. Additional efforts are needed to prevent cold-related exposure and consequent injury among people experiencing homelessness.

Using natural language processing to identify the status of homelessness and housing instability among serious illness patients from clinical notes in an integrated healthcare system.

Efficiently identifying the social risks of patients with serious illnesses (SIs) is the critical first step in providing patient-centered and value-driven care for this medically vulnerable population. To apply and further hone an existing natural language process (NLP) algorithm that identifies patients who are homeless/at risk of homeless to a SI population. Patients diagnosed with SI between 2019 and 2020 were identified using an adapted list of diagnosis codes from the Center for Advance Palliative Care from the Kaiser Permanente Southern California electronic health record. Clinical notes associated with medical encounters within 6months before and after the diagnosis date were processed by a previously developed NLP algorithm to identify patients who were homeless/at risk of homelessness. To improve the generalizability to the SI population, the algorithm was refined by multiple iterations of chart review and adjudication. The updated algorithm was then applied to the SI population. Among 206993 patients with a SI diagnosis, 1737 (0.84%) were identified as homeless/at risk of homelessness. These patients were more likely to be male (51.1%), age among 45-64years (44.7%), and have one or more emergency visit (65.8%) within a year of their diagnosis date. Validation of the updated algorithm yielded a sensitivity of 100.0% and a positive predictive value of 93.8%. The improved NLP algorithm effectively identified patients with SI who were homeless/at risk of homelessness and can be used to target interventions for this vulnerable group.

Validity of Rapid Antibody Testing for COVID-19 Vaccine in Homeless People.

(1) Background: There is a paucity of data regarding the validity of rapid antibody testing for SARS-CoV-2 vaccine response in homeless people worldwide. The objective of this study was to evaluate a rapid SARS-CoV-2 IgM/IgG antibody detection kit as a qualitative screen for vaccination in homeless people. (2) Methods: This study included 430 homeless people and 120 facility workers who had received one of BNT162b2, mRNA-1273, AZD1222/ChAdOx1, or JNJ-78436735/AD26.COV2.5 vaccines. They were tested for IgM/IgG antibodies to the SARS-CoV-2 spike protein with the STANDARD™ Q COVID-19 IgM/IgG Plus Test (QNCOV-02C). ELISA/competitive inhibition ELISA (CI-ELISA) was subsequently run to assess the validity of the serological antibody test. (3) Results: The sensitivity of homeless people was 43.5%. The status of homelessness was related to a lower agreement between serological antibody testing and CI-ELISA (adjusted OR (aOR), 0.35; 95% CI, 0.18-0.70). However, the Heterologous boost vaccine presented higher agreement between serological antibody testing and CI-ELISA (adjusted OR (aOR), 6.50; 95% CI, 3.19-13.27). (4) Conclusions: This study found weak agreement between the rapid IgG results and confirmatory CI-ELISA testing in homeless people. However, it can be used as a screening test for the acceptance of homeless people with heterologous boost vaccination in facilities.