Multivariable modelling of factors associated with criminal convictions among people experiencing homelessness and serious mental illness: a multi-year study.
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ABSTRACT:
SUBMITTER: Parpouchi M
PROVIDER: S-EPMC8368183 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:OBJECTIVE:To examine whether timely outpatient follow-up after hospital discharge reduces the risk of subsequent rehospitalization among people experiencing homelessness and mental illness. DATA SOURCES:Comprehensive linked administrative data including hospital admissions, laboratory services, and community medical services. STUDY DESIGN:Participants were recruited to the Vancouver At Home study based on a-priori criteria for homelessness and mental illness (n = 497). Logistic regression analysis was used to assess the relationship between outpatient care within 7 days postdischarge and subsequent rehospitalization over a 1-year period. DATA EXTRACTION:Data were extracted for a consenting subsample of participants (n = 433) spanning 5 years prior to study enrollment. PRINCIPAL FINDINGS:More than half of the eligible sample (53 percent; n = 128) were rehospitalized within 1 year following an index hospital discharge. Neither outpatient medical services nor laboratory services within 7 days following discharge were associated with a significantly reduced likelihood of rehospitalization within 2 months (AOR = 1.17 [CI = 0.94, 1.46]), 6 months (AOR = 1.00 [CI = 0.82, 1.23]) or 12 months (AOR = 1.24 [CI = 1.02, 1.52]). CONCLUSIONS:In contrast to evidence from nonhomeless samples, we found no association between timely outpatient follow-up and the likelihood of rehospitalization in our homeless, mentally ill cohort. Our findings indicate a need to address housing as an essential component of discharge planning alongside outpatient care.
| S-EPMC6153158 | biostudies-literature
Project description:OBJECTIVE:Community mental health providers' attitudes toward criminal justice-involved clients with serious mental illness were examined. METHODS:A total of 627 Maryland psychiatric rehabilitation program providers responded to a survey (83% response rate). Measures assessed providers' experience with, positive regard for, and perceptions of similarity, with their clients with serious mental illness. Chi-square tests were used to compare providers' attitudes toward clients with and without criminal justice involvement. RESULTS:Providers reported lower regard for criminal justice-involved clients than for clients without such involvement. Providers were less likely to report having a great deal of respect for clients with (79%) versus without (95%) criminal justice involvement. On all items that measured providers' perceived similarity with their clients, less than 50% of providers rated themselves as similar, regardless of clients' criminal justice status. CONCLUSIONS:Future research should explore how providers' attitudes toward criminal justice-involved clients influence service delivery for this group.
| S-EPMC5880730 | biostudies-literature
Project description:BackgroundPeople experiencing homelessness are vulnerable to COVID-19 due to the risk of transmission in shared accommodation and the high prevalence of comorbidities. In England, as in some other countries, preventive policies have been implemented to protect this population. We aimed to estimate the avoided deaths and health-care use among people experiencing homelessness during the so-called first wave of COVID-19 in England-ie, the peak of infections occurring between February and May, 2020-and the potential impact of COVID-19 on this population in the future.MethodsWe used a discrete-time Markov chain model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection that included compartments for susceptible, exposed, infectious, and removed individuals, to explore the impact of the pandemic on 46 565 individuals experiencing homelessness: 35 817 living in 1065 hostels for homeless people, 3616 sleeping in 143 night shelters, and 7132 sleeping outside. We ran the model under scenarios varying the incidence of infection in the general population and the availability of prevention measures: specialist hotel accommodation, infection control in homeless settings, and mixing with the general population. We divided our scenarios into first wave scenarios (covering Feb 1-May 31, 2020) and future scenarios (covering June 1, 2020-Jan 31, 2021). For each scenario, we ran the model 200 times and reported the median and 95% prediction interval (2·5% and 97·5% quantiles) of the total number of cases, the number of deaths, the number hospital admissions, and the number of intensive care unit (ICU) admissions.FindingsUp to May 31, 2020, we calibrated the model to 4% of the homeless population acquiring SARS-CoV-2, and estimated that 24 deaths (95% prediction interval 16-34) occurred. In this first wave of SARS-CoV-2 infections in England, we estimated that the preventive measures imposed might have avoided 21 092 infections (19 777-22 147), 266 deaths (226-301), 1164 hospital admissions (1079-1254), and 338 ICU admissions (305-374) among the homeless population. If preventive measures are continued, we projected a small number of additional cases between June 1, 2020, and Jan 31, 2021, with 1754 infections (1543-1960), 31 deaths (21-45), 122 hospital admissions (100-148), and 35 ICU admissions (23-47) with a second wave in the general population. However, if preventive measures are lifted, outbreaks in homeless settings might lead to larger numbers of infections and deaths, even with low incidence in the general population. In a scenario with no second wave and relaxed measures in homeless settings in England, we projected 12 151 infections (10 718-13 349), 184 deaths (151-217), 733 hospital admissions (635-822), and 213 ICU admissions (178-251) between June 1, 2020, and Jan 31, 2021.InterpretationOutbreaks of SARS-CoV-2 in homeless settings can lead to a high attack rate among people experiencing homelessness, even if incidence remains low in the general population. Avoidance of deaths depends on prevention of transmission within settings such as hostels and night shelters.FundingNational Institute for Health Research, Wellcome, and Medical Research Council.
| S-EPMC7511167 | biostudies-literature
Project description:BackgroundPeople with a serious mental illness are more likely to smoke more and to be more dependent smokers than the general population. This may be due to a wide range of factors that could include a common aetiology to both smoking and the illness, self medication, smoking to alleviate adverse effects of medications, boredom in the existing environment, or a combination of these factors. It is important to undertake this review to facilitate improvements in both the health and safety of people with serious mental illness who smoke, and to reduce the overall burden of costs (both financial and health) to the smoker and, eventually, to the taxpayer.ObjectivesTo review the effects of smoking cessation advice for people with serious mental illness.Search methodsWe searched the Cochrane Schizophrenia Group Specialized Trials Register up to 2 April 2015, which is based on regular searches of CENTRAL, BIOSIS, PubMed, MEDLINE, EMBASE, CINAHL, PsycINFO, and trial registries. We also undertook unsystematic searches of a sample of the component databases (BNI, CINHAL, EMBASE, MEDLINE, and PsycINFO), up to 2 April 2015, and searched references of all identified studiesSelection criteriaWe planned to include all randomised controlled trials (RCTs) that focussed on smoking cessation advice versus standard care or comparing smoking cessation advice with other more focussed methods of delivering care or information.Data collection and analysisThe review authors (PK, AC, and DB) independently screened search results but did not identify any trials that fulfilled the inclusion criteria of this review.Main resultsWe did not identify any RCTs that evaluated advice regarding smoking cessation for people with serious mental illness. The excluded studies illustrate that randomisation of packages of care relevant to smokers with serious mental illness is possible.Authors' conclusionsPeople with serious mental illness are more likely to smoke than the general population. Yet we could not find any high quality evidence to guide the smoking cessation advice healthcare professionals pass onto service users. This is an area where trials are possible and needed.
| S-EPMC6513396 | biostudies-literature
Project description:BackgroundSerious mental illness (SMI, including schizophrenia, schizoaffective disorder, and bipolar disorder) is associated with worse general health. However, admissions to general hospitals have received little investigation. We sought to delineate frequencies of and causes for non-psychiatric hospital admissions in SMI and compare with the general population in the same area.MethodsRecords of 18 380 individuals with SMI aged ⩾20 years in southeast London were linked to hospitalisation data. Age- and gender-standardised admission ratios (SARs) were calculated by primary discharge diagnoses in the 10th edition of the World Health Organization International Classification of Diseases (ICD-10) codes, referencing geographic catchment data.ResultsCommonest discharge diagnosis categories in the SMI cohort were urinary conditions, digestive conditions, unclassified symptoms, neoplasms, and respiratory conditions. SARs were raised for most major categories, except neoplasms for a significantly lower risk. Hospitalisation risks were specifically higher for poisoning and external causes, injury, endocrine/metabolic conditions, haematological, neurological, dermatological, infectious and non-specific ('Z-code') causes. The five commonest specific ICD-10 diagnoses at discharge were 'chronic renal failure' (N18), a non-specific code (Z04), 'dental caries' (K02), 'other disorders of the urinary system' (N39), and 'pain in throat and chest' (R07), all of which were higher than expected (SARs ranging 1.57-6.66).ConclusionA range of reasons for non-psychiatric hospitalisation in SMI is apparent, with self-harm, self-neglect and/or reduced healthcare access, and medically unexplained symptoms as potential underlying explanations.
| S-EPMC6236443 | biostudies-literature
Project description: Not available
| S-EPMC7397556 | biostudies-literature
Project description:A rapid increase of Medicaid expenditures has been a serious concern, and housing stability has been discussed as a means to reduce Medicaid costs. A program evaluation of a New York City supportive housing program has assessed the association between supportive housing tenancy and Medicaid savings among New York City housing program applicants with serious mental illness and chronic homelessness or dual diagnoses of mental illness and substance use disorder, stratified by distinctive Medicaid expenditure patterns.The evaluation used matched data from administrative records for 2827 people. Sequence analysis identified 6 Medicaid expenditure patterns during 2 years prior to baseline among people placed in the program (n?=?737) and people eligible but not placed (n?=?2090), including very low Medicaid coverage, increasing Medicaid expenditure, low, middle, high, and very high Medicaid expenditure patterns. We assessed the impact of the program on Medicaid costs for 2 years post-baseline via propensity score matching and bootstrapping.The housing program was associated with Medicaid savings during 2 years post-baseline (-$9526, 95% CI?=?-$19,038 to -$2003). Stratified by Medicaid expenditure patterns, Medicaid savings were found among those with very low Medicaid coverage (-$15,694, 95% CI?=?-$35,926 to -$7983), increasing Medicaid expenditures (-$9020, 95% CI?=?-$26,753 to -$1705), and high Medicaid expenditure patterns (-$14,450, 95% CI?=?-$38,232 to -$4454). Savings were largely driven by shorter psychiatric hospitalizations in the post-baseline period among those placed.The supportive housing program was associated with Medicaid savings, particularly for individuals with very low Medicaid coverage, increasing Medicaid expenditures, and high Medicaid expenditures pre-baseline.
| S-EPMC5761184 | biostudies-literature
Project description:Serious mental illness (SMI) with psychiatric instability accounts for disproportionately high use of emergency room visits and hospitalizations.To evaluate the effectiveness of an automated telehealth intervention supported by nurse health care management for improving psychiatric illness management and reducing acute service use among individuals with SMI and psychiatric instability.Thirty-eight individuals with SMI received the automated telehealth intervention for 6 months. Psychiatric symptoms, illness self-management, and self-reported service use (emergency room visits and hospital admissions) were collected at baseline, 3- and 6-months. Measures of quality of life, health indicators, and subjective health status were also collected.Participants demonstrated improvements in self-reported psychiatric symptoms and illness self-management skills, an 82% decrease in hospital admissions (from 76 to 14 hospitalizations, p < 0.001) and a 75% decrease in emergency room visits (from 63 to 16 visits, p < 0.001). Improvements were also observed in quality of life, severity of depressive symptoms, and mental health status.These highly promising findings support the use of an automated telehealth device monitored by a nurse care manager for people with SMI, and highlight the potential for cost savings through reductions in acute health care utilization.
| S-EPMC5506829 | biostudies-other
Project description:ObjectivesIndigenous people in Canada are not only over-represented among the homeless population but their pathways to homelessness may differ from those of non-Indigenous people. This study investigated the history and current status of Indigenous and non-Indigenous people experiencing homelessness and mental illness. We hypothesised that compared with non-Indigenous people, those who are Indigenous would demonstrate histories of displacement earlier in life, higher rates of trauma and self-medication with alcohol and other substances.Design and settingRetrospective data were collected from a sample recruited through referral from diverse social and health agencies in Winnipeg and Vancouver.ParticipantsEligibility included being 19 years or older, current mental disorder and homelessness.MeasuresData were collected via interviews, using questionnaires, on sociodemographics (eg, age, ethnicity, education), mental illness, substance use, physical health, service use and quality of life. Univariate and multivariable models were used to model the association between Indigenous ethnicity and dependent variables.ResultsA total of 1010 people met the inclusion criteria, of whom 439 self-identified as Indigenous. In adjusted models, Indigenous ethnicity was independently associated with being homeless at a younger age, having a lifetime duration of homelessness longer than 3 years, post-traumatic stress disorder, less severe mental disorder, alcohol dependence, more severe substance use in the past month and infectious disease. Indigenous participants were also nearly twice as likely as others (47% vs 25%) to have children younger than 18 years.ConclusionsAmong Canadians who are homeless and mentally ill, those who are Indigenous have distinct histories and current needs that are consistent with the legacy of colonisation. Responses to Indigenous homelessness must be developed within the context of reconciliation between Indigenous and non-Indigenous Canadians, addressing trauma, substance use and family separations.Trial registration numberISRCTN42520374, ISRCTN57595077, ISRCTN66721740.
| S-EPMC6500294 | biostudies-literature
Project description:BackgroundExperiences of homelessness and serious mental illness (SMI) negatively impact health and receipt of healthcare. Interventions that promote the use of primary care services for people with both SMI and homelessness may improve health outcomes, but this literature has not been evaluated systematically. This evidence map examines the breadth of literature to describe what intervention strategies have been studied for this population, elements of primary care integration with other services used, and the level of intervention complexity to highlight gaps for future intervention research and program development.MethodsWe followed an a priori protocol developed in collaboration with clinical stakeholders. We systematically searched the published literature to identify interventions for adults with homelessness who also had SMI. We excluded case reports, editorials, letters, and conference abstracts. Data abstraction methods followed standard practice. Data were categorized into intervention strategies and primary care integration strategies. Then we applied the Complexity Assessment Tool for Systematic Reviews (iCAT_SR) to characterize intervention complexity.ResultsTwenty-two articles met our inclusion criteria evaluating 15 unique interventions to promote engagement in primary care for adults with experiences of homelessness and SMI. Study designs varied widely from randomized controlled trials and cohort studies to single-site program evaluations. Intervention strategies varied across studies but primarily targeted patients directly (e.g., health education, evidence-based interactions such as motivational interviewing) with fewer strategies employed at the clinic (e.g., employee training, multidisciplinary teams) or system levels (e.g., data sharing). We identified elements of primary care integration, including referral strategies, co-location, and interdisciplinary care planning. Interventions displayed notable complexity around the number of intervention components, interaction between intervention components, and extent to which interventions were tailored to specific patient populations.DiscussionWe identified and categorized elements used in various combinations to address the primary care needs of individuals with experiences of homeless and SMI.
| S-EPMC9085989 | biostudies-literature