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IntroductionDrug-related death is substantially higher in formerly incarcerated adults compared to the general population. Despite this, remarkably little is known about the epidemiology of drug-related death among justice-involved adolescents. A richer understanding of drug-related mortality in justice-involved young people is essential for the development of effective, evidence-based interventions for this vulnerable group.
Objectives and ApproachIn a whole-population cohort of justice-involved young people in Queensland, Australia, we aimed to: 1) calculate the rate of drug-related death overall, and separately by intent and drug category; and 2) estimate the probability, and identify the predictors of, drug-related death. We probabilistically linked Youth Justice Queensland and National Death Index (NDI) records for every young person who came into contact with the youth justice system in Queensland between 1 January 1993 and 31 December 2014 (N=48,963). The NDI provided death data until 31 December 2017. Crude mortality rates (CMR) were calculatedoverall, separately by intent, and by prescribed versus illicit drug cause. Competing risk survival analysis will be conducted.
ResultsOf the 48,963 individuals, 1452 (3%) died by 31 December 2017. Of these, 204 (14%) deaths were due to drugs, yielding a CMR of 31 (95%CI:27-36) per 100,000 person-years. Most drug-related deaths were recorded as intentional (CMR=28; 95%CI:24-33 per 100,000 person-years) and deaths from prescribed medications were more common than illicit drugs (CMR=17; 95%CI:14-20 and CMR=11; 95%CI:9-14 per 100,000 person-years, respectively).
Conclusion / ImplicationsRates of drug-related deaths following contact with the youth justice system are disproportionately high and represent a major public health concern. Our findings highlight the importance of initiation of alcohol and other drug (AOD) treatment upon contact with the youth justice system and continuous engagement with community treatment after discharge from the youth justice system. Evidenced-base prevention strategies and efforts to improve the continuity of care are urgently needed.

Background In the UK, issued prescriptions are typically taken to pharmacies, where medications are prepared, recorded, and dispensed. Data Linkage between prescribing and pharmacy dispensing records is not routinely conducted at the individual prescription level for clinical care in England and Wales, however it can be particularly useful for the study of pharmacoepidemiology. With no unique prescribing event identifiers between records, an algorithmic approach is required for this linkage.
Aims To create a linkage system for primary care prescribed asthma controller medications and pharmacy dispensing records.
Methods Free text labels were used to populate fields for data linkage, relating to medication strength, medication type (active ingredients; allows matching of generic substitutions to named brands), doses per medication unit, prescribed units, and prescribed doses. Prescribing and dispensing records were merged using an inner (many to many) join; generating a candidate link for every combination of records matching on unique patient identifier and medicine. A recursive algorithm was developed and applied, working backwards chronologically through dispensing records and finding the most appropriate match based on the time since prescribing and agreement between the medication description fields. Unmatched records were assessed for quality assurance, and the distribution of linkage strength for matches was examined.
Results We developed a harmonisation algorithm in a dataset of over 3 million asthma controller medication prescription records, for which almost 3 in 4 were coded according to the number of units (predominantly inhalers). Incorporating the estimated number of doses prescribed/dispensed into our wider matching algorithm, we were able to find unique prescription records for almost 95% of our dispensing records.
Conclusion Early findings demonstrate the accuracy of the developed algorithm linking prescribing and dispensing records. This algorithm can easily be generalised to other conditions.

Health information technology can support the development of national learning health and care systems, which can be defined as health and care systems that continuously use data-enabled infrastructure to support policy and planning, public health, and personalisation of care. The COVID-19 pandemic has offered an opportunity to assess how well equipped the UK is to leverage health information technology and apply the principles of a national learning health and care system in response to a major public health shock. With the experience acquired during the pandemic, each country within the UK should now re-evaluate their digital health and care strategies. After leaving the EU, UK countries now need to decide to what extent they wish to engage with European efforts to promote interoperability between electronic health records. Major priorities for strengthening health information technology in the UK include achieving the optimal balance between top-down and bottom-up implementation, improving usability and interoperability, developing capacity for handling, processing, and analysing data, addressing privacy and security concerns, and encouraging digital inclusivity. Current and future opportunities include integrating electronic health records across health and care providers, investing in health data science research, generating real-world data, developing artificial intelligence and robotics, and facilitating public–private partnerships. Many ethical challenges and unintended consequences of implementation of health information technology exist. To address these, there is a need to develop regulatory frameworks for the development, management, and procurement of artificial intelligence and health information technology systems, create public–private partnerships, and ethically and safely apply artificial intelligence in the National Health Service.

IntroductionYoung people who have contact with the youth justice system are distinguished by a high prevalence of complex, co-occurring health problems, including known risk factors for preventable mortality. However, almost nothing is known about health outcomes for these young people after separation from the youth justice system.
Objectives and ApproachWe aimed to examine the incidence, timing, causes and risk factors for death in justice-involved young people. We linked youth justice records in Queensland, Australia 1993-2016 (N=48,963) with adult correctional records and the National Death Index. We split the cohort into three subgroups: those who had ever been in detention (n=7,643), those supervised in the community but never detained (n=12,953), and those charged with an offence but never convicted (n=28,367). We calculated all-cause and cause-specific crude mortality rates (CMRs), and indirectly standardised mortality ratios (SMRs). We used Cox regression to identify static and time-varying risk factors for death.
ResultsDuring a median of 13.6 years of follow-up there were 1,452 deaths (3.0%). The all-cause CMR was 2.2 (95%CI 2.1-2.3) per 1000 person-years, and the all-cause SMR was 3.1 (95%CI 3.0-3.3). The leading external causes of death were suicide (32% of all deaths), transport accidents (16%), accidental drug-related causes (13%), and violence (3%). In adjusted analyses, independent risk factors for all-cause mortality included being male (HR=1.4, 95%CI 1.2-1.6) and older (>=15 vs. vs. charge only; HR=1.6, 95%CI 1.2-2.0) and subsequent incarceration as an adult (HR=1.8, 95%CI 1.4-2.4).
Conclusion/ImplicationsYoung people who have contact with the youth justice system are at markedly increased risk of preventable death, after separation from that system. Efforts to improve long-term health outcomes for justice-involved youth have the potential to reduce preventable deaths in these highly vulnerable young people.

IntroductionMore than 30 million adults are released from incarceration globally each year. Many experience complex physical and mental health problems, and are at markedly increased risk of preventable mortality. Despite this, evidence regarding the global epidemiology of mortality following release from incarceration is insufficient to inform the development of targeted, evidence-based responses. Many previous studies have suffered from inadequate power and poor precision, and even large studies have limited capacity to disaggregate data by specific causes of death, sub-populations or time since release to answer questions of clinical and public health relevance.

ObjectivesTo comprehensively document the incidence, timing, causes and risk factors for mortality in adults released from prison.
MethodsWe created the Mortality After Release from Incarceration Consortium (MARIC), a multi-disciplinary collaboration representing 29 cohorts of adults who have experienced incarceration from 11 countries. Findings across cohorts will be analysed using a two-step, individual participant data meta-analysis methodology.
ResultsThe combined sample includes 1,337,993 individuals (89% male), with 75,795 deaths recorded over 9,191,393 person-years of follow-up.
ConclusionsThe consortium represents an important advancement in the field, bringing international attention to this problem. It will provide internationally relevant evidence to guide policymakers and clinicians in reducing preventable deaths in this marginalized population.
Key wordsMortality; incarceration; prison; release; individual participant data meta-analysis; consortium; cohort.