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Rates and causes of death after release from incarceration among 1 471 526 people in eight high-income and middle-income countries: an individual participant data meta-analysis

人口学 医学 流行病学 人口 入射(几何) 死亡率 比率 队列研究 队列 相对风险 置信区间 环境卫生 外科 内科学 物理 社会学 光学
作者
Rohan Borschmann,Rohan Borschmann,Claire Keen,Matthew J Spittal,David B. Preen,Jane Pirkis,Sarah Larney,David L. Rosen,Lars Möller,Éamonn O’Moore,Jesse T Young,Frederick L. Altice,Jason R Andrews,Ingrid A. Binswanger,Anne Bukten,Tony Butler,Zheng Chang,Chuan-Yu Chen,Thomas Clausen,Peer Brehm Christensen,Gabriel J. Culbert,Ruth Cunningham,Louisa Degenhardt,Kate Dolan,Seena Fazel,Colin Fischbacher,Margaret Giles,Lesley Graham,Yen–Fang Huang,Florence Huber,Azar Karaminia,Paula King,Fiona G. Kouyoumdjian,Sungwoo Lim,Yiran E. Liu,Derrick Lopez,Akm Moniruzzaman,Jeffrey D. Morenoff,Lia N. Pizzicato,Scott Proescholdbell,Shabbar I. Ranapurwala,Jenny Shaw,Amanda Slaunwhite,Julian M. Somers,Anne C. Spaulding,Marianne Riksheim Stavseth,M. Stern,Kendra Telfer,Kendra Viner,Nadia Wang,Bin Zhao,Nanbo Zhu,Stuart A Kinner,Stuart A Kinner
出处
期刊:The Lancet [Elsevier]
被引量:1
标识
DOI:10.1016/s0140-6736(24)00344-1
摘要

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.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.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.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.Australia's National Health and Medical Research Council.
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