Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
Add more filters











Database
Language
Publication year range
1.
Lancet ; 403(10438): 1779-1788, 2024 May 04.
Article in English | MEDLINE | ID: mdl-38614112

ABSTRACT

BACKGROUND: Formerly incarcerated people have exceptionally poor health profiles and are at increased risk of preventable mortality when compared with their general population peers. However, not enough is known about the epidemiology of mortality in this population-specifically the rates, causes, and timing of death in specific subgroups and regions-to inform the development of targeted, evidence-based responses. We aimed to document the incidence, timing, causes, and risk factors for mortality after release from incarceration. METHODS: We analysed linked administrative data from the multi-national Mortality After Release from Incarceration Consortium (MARIC) study. We examined mortality outcomes for 1 471 526 people released from incarceration in eight countries (Australia, Brazil, Canada, New Zealand, Norway, Scotland, Sweden, and the USA) from 1980 to 2018, across 10 534 441 person-years of follow-up (range 0-24 years per person). We combined data from 18 cohort studies using two-step individual participant data meta-analyses to estimate pooled all-cause and cause-specific crude mortality rates (CMRs) per 100 000 person-years, for specific time periods (first, daily from days 1-14; second, weekly from weeks 3-12; third, weeks 13-52 combined; fourth, weeks 53 and over combined; and fifth, total follow-up) after release, overall and stratified by age, sex, and region. FINDINGS: 75 427 deaths were recorded. The all-cause CMR during the first week following release (1612 [95% CI 1048-2287]) was higher than during all other time periods (incidence rate ratio [IRR] compared with week 2: 1·5 [95% CI 1·2-1·8], I2=26·0%, weeks 3-4: 2·0 [1·5-2·6], I2=53·0%, and weeks 9-12: 2·2 [1·6-3·0], I2=70·5%). The highest cause-specific mortality rates during the first week were due to alcohol and other drug poisoning (CMR 657 [95% CI 332-1076]), suicide (135 [36-277]), and cardiovascular disease (71 [16-153]). We observed considerable variation in cause-specific CMRs over time since release and across regions. Pooled all-cause CMRs were similar between males (731 [95% CI 630-839]) and females (660 [560-767]) and were higher in older age groups. INTERPRETATION: The markedly elevated rate of death in the first week post-release underscores an urgent need for investment in evidence-based, coordinated transitional healthcare, including treatment for mental illness and substance use disorders to prevent post-release deaths due to suicide and overdose. Temporal variations in rates and causes of death highlight the need for routine monitoring of post-release mortality. FUNDING: Australia's National Health and Medical Research Council.


Subject(s)
Cause of Death , Prisoners , Adult , Female , Humans , Male , Middle Aged , Australia/epidemiology , Brazil/epidemiology , Canada/epidemiology , Developed Countries/statistics & numerical data , Incarceration , Incidence , New Zealand/epidemiology , Norway/epidemiology , Prisoners/statistics & numerical data , Risk Factors , Scotland/epidemiology , Sweden/epidemiology
2.
Soc Psychiatry Psychiatr Epidemiol ; 55(10): 1355-1362, 2020 Oct.
Article in English | MEDLINE | ID: mdl-32047971

ABSTRACT

PURPOSE: To estimate the prevalence of dual diagnosis and identify health, social and criminal justice factors associated with dual diagnosis among incarcerated adults in Australia and Brazil. METHODS: We compared data from cross-sectional surveys of incarcerated adults (aged ≥ 18 years) in Australia and Brazil. Using data from linked emergency department, hospital, and in-prison medical records in the Australian sample, and from the Composite International Diagnostic Interview (CIDI) in the Brazilian sample, participants were categorised as having: (1) no mental disorder; (2) substance use disorder only; (3) mental illness only; or (4) dual diagnosis. A multivariate multinomial logistic regression model was fitted to identify factors associated with dual diagnosis in each country. RESULTS: Approximately one quarter of participants in both Australia (22%) and Brazil (25%) met the diagnostic criteria for dual diagnosis. In both countries, dual diagnosis was associated with being female [relative risk (RR) = 2.25 (95% CI 1.47-3.43) Australia; RR = 2.59 (95% CI 1.79-3.74) Brazil], having a history of prior incarceration [RR = 2.99 (95% CI 1.99-4.48) Australia; RR = 2.27 (95% CI 1.57-3.29) Brazil], and having comorbid physical health problems [RR = 1.54 (95% CI 1.08-2.19) Australia; RR = 2.53 (95% CI 1.75-3.65) Brazil]. CONCLUSIONS: Despite differences in health, social, and criminal justice systems between Australia and Brazil, the prevalence of and factors associated with dual diagnosis in incarcerated adults appear to be similar in the two countries. A number of generalisable principles can be inferred and should be considered in health and criminal justice policy making.


Subject(s)
Mental Disorders , Prisoners , Substance-Related Disorders , Adult , Australia/epidemiology , Brazil/epidemiology , Criminal Law , Cross-Sectional Studies , Diagnosis, Dual (Psychiatry) , Female , Humans , Mental Disorders/diagnosis , Mental Disorders/epidemiology , Substance-Related Disorders/diagnosis , Substance-Related Disorders/epidemiology
4.
Public Health Rep ; 131(4): 574-82, 2016.
Article in English | MEDLINE | ID: mdl-27453602

ABSTRACT

OBJECTIVES: People in prison may be at high risk for infectious diseases and have an elevated risk of death immediately after release compared with later; their risk of death is elevated for at least a decade after release. We compared rates, characteristics, and prison-related risk factors for infectious disease-related mortality among people released from prisons in Queensland, Australia, and Washington State, United States, regions with analogous available data. METHODS: We analyzed data from retrospective cohort studies of people released from prison in Queensland (1997-2007, n=37,180) and Washington State (1999-2009, n=76,208) and linked identifiers from each cohort to its respective national death index. We estimated infectious disease-related mortality rates (deaths per person-years in community) and examined associations using Cox proportional hazard models. RESULTS: The most frequent infectious disease-related underlying cause of death after release from prison was pneumonia (43%, 23/54 deaths) in the Australian cohort and viral hepatitis (40%, 69/171 deaths) in the U.S. cohort. The infectious disease-related mortality rate was significantly higher in the U.S. cohort than in the Australian cohort (51.2 vs. 26.5 deaths per 100,000 person-years; incidence rate ratio = 1.93, 95% confidence interval 1.42, 2.62). In both cohorts, increasing age was strongly associated with mortality from infectious diseases. CONCLUSION: Differences in the epidemiology of infectious disease-related mortality among people released from prison may reflect differences in patterns of community health service delivery in each region. These findings highlight the importance of preventing and treating hepatitis C and other infectious diseases during the transition from prison to the community.


Subject(s)
Cause of Death , Communicable Diseases/mortality , Freedom , Prisoners , Adolescent , Adult , Aged , Aged, 80 and over , Cohort Studies , Female , Humans , Male , Middle Aged , Prisons , Proportional Hazards Models , Queensland/epidemiology , Washington/epidemiology , Young Adult
SELECTION OF CITATIONS
SEARCH DETAIL