292 resultados para Homeless


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Little is known about how sleep disruption impacts physical health among the homeless. The association between homelessness, quality of sleep and physical health were investigated in the current study. Convenience sampling was used to select participants from a pool of people attending the programs of Ecclesia Ministries. Interviews were conducted with 32 persons from the Boston metropolitan area, of whom 23 were currently homeless. The researcher assessed level of sleep disturbance, number of health problems and degree of homelessness using a standard demographic questionnaire, the General Health Questionnaire-12 (GHQ-12) and the Pittsburgh Sleep Quality Index (PSQI). Our results found evidence of significant sleep disturbance as well as significant mental and physical health problems in the sample. Correlational analyses provided partial support for the hypothesis that degree of homelessness impacts both sleep quality and physical health. Future work should investigate whether change in homelessness status alters sleep quality and physical health and also whether interventions may be utilized in this understudied and vulnerable population.

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Little research has been on homeless mortality, but what has been done indicates that homeless people have higher mortality rates than the general population. Homeless decedents in Harris County in 2008 who were referred to the Harris County Medical Examiner's Office (HCMEO) were described by age, race/ethnicity, sex, and marital status and compared to the homeless population as enumerated by the Coalition of the Homeless (COH) in 2007. Of the 47 decedents, eight (17%) were female and 39 (83%) were male, 24 (51.1%) were non-Hispanic white, 11 (23.4%) were black, and 12 (25.5%) were Hispanic, none of the decedents were listed as married, however, a large number (29, 61.5%) were listed as “unknown,” and the average age of decedents was 50 years, six years older than the average of 44 years in the general homeless population. Most common causes of death were injuries, which included motor vehicle accidents, homicides and suicides and poisonings, (acute overdose and chronic substance use). Homeless decedents were representative to the larger Harris County homeless population. ^

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This project involved developing a model for planning a dental emergency treatment center that could function as an embedded component of a shelter for the homeless population. The dental services provided by such a clinic should include treatment for tooth pain, dental caries or cavities, chipped or broken teeth, broken partials, abscessed teeth, emergency cleanings, periodontal disease or gum disease and fillings. These are the dental services that are most often sought by homeless people in hospital emergency rooms.^ The underlying assumption for this project was that the oral health needs of the homeless community can most effectively be addressed by implementing small dental clinics in existing facilities that provide shelter and other services for this population. The model described in this project identifies oral health care services that would be provided by the clinic, facility (physical plant) requirements and associated infrastructure to operate an embedded dental clinic, methods for obtaining funding, strategies of recruiting dental professionals to staff the facility, and methods to assess the outcomes of the embedded clinic strategy. As an example, this project describes a strategy for developing such an embedded clinic at San Antonio Metropolitan Ministries SAMM shelter based on recommendations from community health care leaders, managers of homeless shelters, members of the homeless community and dental professionals^

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Healthcare for the Homeless—Houston (HHH) received a research grant from The Medallion Foundation, Inc. in March 2006 to pilot The Jail Inreach Project, an intensive “inreach” initiative to assess the impact of providing continuity of mental and primary health care services for homeless individuals who suffer from mental illness and/or substance abuse being released from jail. This pilot project was initiated by HHH, in collaboration with the Harris County Sheriff’s Office and the Mental Health Mental Retardation Authority of Harris County (MHMRA). Those who are flagged as “frequent flyers” and who are diagnosed with a mental illness are referred to the Jail Inreach Project. In order to maximize the effectiveness of the discharge plan, case managers offer the option of meeting the client at the time of release and bring them to the HHH clinic located four blocks from the jail. Participation in both the program and the option for direct release to the care of a case manager are voluntary.^ The purpose of this study is to determine the outcomes of the Jail Inreach Project and addresses the following objectives: (1) to evaluate the characteristics of inmates that chose to be released from jail to the direct care of an HHH case manager versus those who opt for self release and (2) to determine the number and percent of inmates that are linked to services and relationship with type of release (direct versus indirect), (3) to determine if there is a relationship between outcomes and characteristics and (4) to determine what outcomes are a function of release, controlling for characteristics. Statistical analysis, including frequencies, cross tabulations, chi-square and logistical regression, found that those who opt for self release are six times less likely to be successfully linked to services and that gender is the most significant predictor of choosing self release. Men are far more likely to opt for self release than women engaged in this program. These findings help inform policy and program design and development that addresses the difference in service utilization and successful linkage to services post-incarceration. Successful linkage to services, thus continuity of and access to care, further impact the effects of the revolving door phenomenon of mentally ill homeless individuals cycling between the streets, jails and hospital emergency centers.^

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To reach the goals established by the Institute of Medicine (IOM) and the Centers for Disease Control's (CDC) STOP TB USA, measures must be taken to curtail a future peak in Tuberculosis (TB) incidence and speed the currently stagnant rate of TB elimination. Both efforts will require, at minimum, the consideration and understanding of the third dimension of TB transmission: the location-based spread of an airborne pathogen among persons known and unknown to each other. This consideration will require an elucidation of the areas within the U.S. that have endemic TB. The Houston Tuberculosis Initiative (HTI) was a population-based active surveillance of confirmed Houston/Harris County TB cases from 1995–2004. Strengths in this dataset include the molecular characterization of laboratory confirmed cases, the collection of geographic locations (including home addresses) frequented by cases, and the HTI time period that parallels a decline in TB incidence in the United States (U.S.). The HTI dataset was used in this secondary data analysis to implement a GIS analysis of TB cases, the locations frequented by cases, and their association with risk factors associated with TB transmission. ^ This study reports, for the first time, the incidence of TB among the homeless in Houston, Texas. The homeless are an at-risk population for TB disease, yet they are also a population whose TB incidence has been unknown and unreported due to their non-enumeration. The first section of this dissertation identifies local areas in Houston with endemic TB disease. Many Houston TB cases who reported living in these endemic areas also share the TB risk factor of current or recent homelessness. Merging the 2004–2005 Houston enumeration of the homeless with historical HTI surveillance data of TB cases in Houston enabled this first-time report of TB risk among the homeless in Houston. The homeless were more likely to be US-born, belong to a genotypic cluster, and belong to a cluster of a larger size. The calculated average incidence among homeless persons was 411/100,000, compared to 9.5/100,000 among housed. These alarming rates are not driven by a co-infection but by social determinants. The unsheltered persons were hospitalized more days and required more follow-up time by staff than those who reported a steady housing situation. The homeless are a specific example of the increased targeting of prevention dollars that could occur if TB rates were reported for specific areas with known health disparities rather than as a generalized rate normalized over a diverse population. ^ It has been estimated that 27% of Houstonians use public transportation. The city layout allows bus routes to run like veins connecting even the most diverse of populations within the metropolitan area. Secondary data analysis of frequent bus use (defined as riding a route weekly) among TB cases was assessed for its relationship with known TB risk factors. The spatial distribution of genotypic clusters associated with bus use was assessed, along with the reported routes and epidemiologic-links among cases belonging to the identified clusters. ^ TB cases who reported frequent bus use were more likely to have demographic and social risk factors associated with poverty, immune suppression and health disparities. An equal proportion of bus riders and non-bus riders were cultured for Mycobacterium tuberculosis, yet 75% of bus riders were genotypically clustered, indicating recent transmission, compared to 56% of non-bus riders (OR=2.4, 95%CI(2.0, 2.8), p<0.001). Bus riders had a mean cluster size of 50.14 vs. 28.9 (p<0.001). Second order spatial analysis of clustered fingerprint 2 (n=122), a Beijing family cluster, revealed geographic clustering among cases based on their report of bus use. Univariate and multivariate analysis of routes reported by cases belonging to these clusters found that 10 of the 14 clusters were associated with use. Individual Metro routes, including one route servicing the local hospitals, were found to be risk factors for belonging to a cluster shown to be endemic in Houston. The routes themselves geographically connect the census tracts previously identified as having endemic TB. 78% (15/23) of Houston Metro routes investigated had one or more print groups reporting frequent use for every HTI study year. We present data on three specific but clonally related print groups and show that bus-use is clustered in time by route and is the only known link between cases in one of the three prints: print 22. (Abstract shortened by UMI.)^

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Objective: To establish the mental health needs of homeless children and families before and after rehousing.

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Mode of access: Internet.

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Includes indexes.

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Shipping list no.: 97-0045-P.

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Mode of access: Internet.