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1.
J Health Care Poor Underserved ; 34(3): 910-930, 2023.
Article in English | MEDLINE | ID: mdl-38015129

ABSTRACT

Housing insecurity can take multiple forms, such as unaffordability, crowding, forced moves, multiple moves, and homelessness. Existing research has linked homelessness to increased emergency department (ED) use, but gaps remain in understanding the relationship between different types of housing insecurity and ED use. In this study, we examined the association between different types of housing insecurity, including detailed measures of homelessness, and future ED use among a cohort of patients initially seen in an urban safety-net hospital ED in the United States between November 2016 and January 2018. We found that homelessness was associated with a higher mean number of ED visits in the year post-baseline. Other measures of housing insecurity (unaffordability, crowding, forced moves, and multiple moves) were not associated with greater ED use in the year post-baseline in multivariable models. We also found that only specific types of homelessness, primarily unsheltered homelessness, were associated with increased ED use.


Subject(s)
Housing Instability , Social Problems , Humans , Emergency Service, Hospital , Patients
2.
J Urban Health ; 100(1): 16-28, 2023 02.
Article in English | MEDLINE | ID: mdl-36224486

ABSTRACT

Early in the pandemic, New York City's public hospital system partnered with multiple philanthropic foundations to offer an unconditional cash transfer program for low-income New Yorkers affected by COVID-19. The $1000 cash transfers were designed to help people meet their most immediate health and social needs and were incorporated into healthcare delivery and contact tracing workflows as a response to the public health emergency. To better understand program recipients' experiences, researchers conducted 150 telephone surveys with randomly sampled cash transfer recipients and 20 in-depth qualitative interviews with purposefully sampled survey participants. Survey participants were predominantly Latinx (87%) and women (65%). The most common reported uses of the $1000 were food and rent. Most participants (79%) reported that without the $1000 cash transfer they would have had difficulty paying for basic expenses or making ends meet, with specific positive effects reported related to food, housing, and ability to work. The majority of survey participants reported that receiving the cash assistance somewhat or greatly improved their physical health (83%) and mental health (89%). Qualitative interview results generally supported the survey findings.


Subject(s)
COVID-19 , Food Assistance , Humans , Female , Food Supply , Poverty , Food
3.
Health Serv Res ; 57(2): 285-293, 2022 04.
Article in English | MEDLINE | ID: mdl-34608999

ABSTRACT

OBJECTIVE: To develop a screening tool to identify emergency department (ED) patients at risk of entering a homeless shelter, which could inform targeting of interventions to prevent future homelessness episodes. DATA SOURCES: Linked data from (1) ED patient baseline questionnaires and (2) citywide administrative homeless shelter database. STUDY DESIGN: Stakeholder-informed predictive modeling utilizing ED patient questionnaires linked with prospective shelter administrative data. The outcome was shelter entry documented in administrative data within 6 months following the baseline ED visit. Exposures were responses to questions on homelessness risk factors from baseline questionnaires. DATA COLLECTION/EXTRACTION METHODS: Research assistants completed questionnaires with randomly sampled ED patients who were medically stable, not in police/prison custody, and spoke English or Spanish. Questionnaires were linked to administrative data using deterministic and probabilistic matching. PRINCIPAL FINDINGS: Of 1993 ED patients who were not homeless at baseline, 5.6% entered a shelter in the next 6 months. A screening tool consisting of two measures of past shelter use and one of past criminal justice involvement had 83.0% sensitivity and 20.4% positive predictive value for future shelter entry. CONCLUSIONS: Our study demonstrates the potential of using cross-sector data to improve hospital initiatives to address patients' social needs.


Subject(s)
Ill-Housed Persons , Emergency Service, Hospital , Housing , Humans , Prospective Studies , Surveys and Questionnaires
4.
Ann Emerg Med ; 76(4): 462-467, 2020 10.
Article in English | MEDLINE | ID: mdl-32331843

ABSTRACT

STUDY OBJECTIVE: Housing instability is prevalent among emergency department (ED) patients and is known to adversely affect health. We aim to determine the incidence and timing of homeless shelter entry after an ED visit among patients who are not currently homeless. METHODS: We conducted a random-sample survey of ED patients at an urban public hospital from November 2016 to September 2017. Patients provided identifying information and gave informed consent for us to link their survey data with the New York City Department of Homeless Services shelter database. Shelter use was followed prospectively for 12 months after the baseline ED visit. We examined timing of shelter entry in the 12 months after the ED visit, excluding patients who were homeless at baseline. RESULTS: Of 1,929 unique study participants who were not currently homeless, 96 (5.0%) entered a shelter within 12 months of their baseline ED visit. Much of the shelter entry occurred in the first month after the ED visit, with continued yet slower rates of entry in subsequent months. Patients in our sample who entered a shelter were predominantly men and non-Hispanic black, and commonly had past shelter and frequent ED use. CONCLUSION: In this single-center study, 5.0% of urban ED patients who were not currently homeless entered a homeless shelter within the year after their ED visit. Particularly if replicated elsewhere, this finding suggests that ED patients may benefit from efforts to identify housing instability and direct them to homelessness prevention programs.


Subject(s)
Emergency Service, Hospital/statistics & numerical data , Ill-Housed Persons/statistics & numerical data , Adult , Data Management/methods , Emergency Service, Hospital/organization & administration , Female , Geographic Mapping , Hospitals, Public/organization & administration , Hospitals, Public/statistics & numerical data , Housing/standards , Housing/statistics & numerical data , Humans , Male , Middle Aged , New York City , Prevalence , Surveys and Questionnaires , Urban Population/statistics & numerical data
5.
Health Aff (Millwood) ; 38(9): 1458-1467, 2019 09.
Article in English | MEDLINE | ID: mdl-31479375

ABSTRACT

People who are homeless use more hospital-based care than average, yet little is known about how hospital and shelter use are interrelated. We examined the timing of emergency department (ED) visits and hospitalizations relative to entry into and exit from New York City homeless shelters, using an analysis of linked health care and shelter administrative databases. In the year before shelter entry and the year following shelter exit, 39.3 percent and 43.3 percent, respectively, of first-time adult shelter users had an ED visit or hospitalization. Hospital visits-particularly ED visits-began to increase several months before shelter entry and declined over several months after shelter exit, with spikes in ED visits and hospitalizations in the days immediately before shelter entry and following shelter exit. We recommend cross-system collaborations to better understand and address the co-occurring health and housing needs of vulnerable populations.


Subject(s)
Emergency Shelter , Hospitals , Ill-Housed Persons , Patient Acceptance of Health Care , Adolescent , Adult , Aged , Databases, Factual , Female , Humans , Male , Middle Aged , New York City , Patient Acceptance of Health Care/statistics & numerical data , Young Adult
6.
J Youth Adolesc ; 48(12): 2432-2450, 2019 Dec.
Article in English | MEDLINE | ID: mdl-31385232

ABSTRACT

Insight into the characteristics and system experiences for youth who touch both the child welfare and juvenile justice systems has increased over the last decade. These youth are typically studied as one population and referred to as "crossover youth." While this literature contributes valuable insight into who crossover youth are, studies are virtually silent on distinguishing characteristics and experiences across different pathways leading to dual system contact. This study reviews what is currently known about dual system youth generally (i.e., youth who have contact with both the juvenile justice and child welfare systems) and introduces a framework for consistently defining dual system youth and their pathways. The utility of the framework is then explored using linked administrative data for cohorts of youth aged 10 to 18 years old with a first petition to delinquency court in three sites: Cook County, Illinois between 2010 and 2014 (N = 14,170); Cuyahoga County, Ohio between 2010 and 2014 (N = 11,441); and New York City between 2013 and 2014 (N = 1272). The findings show a high prevalence of dual system contact overall, ranging from 44.8 to 70.3%, as well as wide variation in the ways in which youth touched both systems. Specifically, non-concurrent system contact is more prevalent than concurrent system contact in all sites, and individual characteristics and system experiences vary within and across these different pathway groups. Based on study findings, implications for future research on dual system youth and for developing collaborative practices and policies across the systems are discussed.


Subject(s)
Child Welfare/statistics & numerical data , Juvenile Delinquency/statistics & numerical data , Mental Health/statistics & numerical data , Social Welfare/statistics & numerical data , Adolescent , Adolescent Behavior/psychology , Child , Criminal Law , Female , Humans , Illinois , Incidence , Male
7.
J Community Health ; 44(5): 881-887, 2019 10.
Article in English | MEDLINE | ID: mdl-30604220

ABSTRACT

This study assessed neighborhood-level association between jail incarceration and premature mortality and estimated the number of potentially avertable premature deaths associated with jail incarceration in NYC. The study outcome was premature mortality rate and the main predictor of interest was jail incarceration rate. Variables associated with premature mortality in bivariate analysis were considered for inclusion in the multivariable ordinary least squares model and in the multivariable linear mixed effects model accounting for spatial correlation. Numbers of potentially avertable premature deaths were calculated by substituting the citywide incarceration rate for the neighborhoods with incarceration rates higher than the citywide rate in the final regression model. There were large disparities in both jail incarceration and premature mortality rates. Incarceration was strongly associated with premature mortality. The number of potentially avertable premature deaths associated with jail incarceration from 2011 to 2015 was approximately 6000, representing 10% of all predicted premature deaths in NYC. This study indicates that incarceration is closely correlated with premature mortality rates, which may contribute to health inequities among low-income NYC neighborhoods with predominantly black and Latino residents.


Subject(s)
Mortality, Premature , Prisoners , Black or African American , Hispanic or Latino , Humans , New York City/epidemiology , Prisons
8.
Child Welfare ; 94(1): 73-85, 2015.
Article in English | MEDLINE | ID: mdl-29443474

ABSTRACT

This article presents preliminary findings from an impact study that drew upon administrative data collected by city agencies and data collected by a supportive housing program for young adults who are aging out of foster care, homeless, or at risk of homelessness. Participation in the program was associated with a reduction in shelter use and jail stays during the two years after program entry. The study demonstrates the benefits of collaboration and the possibilities of using administrative data from multiple public agencies to evaluate program impacts on young adult outcomes.


Subject(s)
Foster Home Care , Homeless Youth/psychology , Independent Living/psychology , Public Housing/statistics & numerical data , Adolescent , Female , Humans , Male , New York City , Propensity Score , Young Adult
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