Author
Matthew Hickman
Other affiliations: University of London, Glasgow Caledonian University, National Institute for Health Research ...read more
Bio: Matthew Hickman is an academic researcher from University of Bristol. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 71, co-authored 363 publications receiving 19556 citations. Previous affiliations of Matthew Hickman include University of London & Glasgow Caledonian University.
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TL;DR: The high prevalence of HIV among many populations of injecting drug users represents a substantial global health challenge and existing data are far from adequate, in both quality and quantity.
1,192 citations
TL;DR: A global multistage systematic review of sharing of equipment used for injecting drug use (IDU) identified evidence of IDU in more countries than in 2008, with the new countries largely consisting of low-income and middle-income countries in Africa.
951 citations
TL;DR: Mortality among opioid-dependent users varies across countries and populations; treatment is clearly protective against mortality even in non-randomized observational studies; study characteristics predict mortality levels.
Abstract: Aims To review the literature on mortality among dependent or regular users of opioids across regions, according to specific causes, and related to a number of demographic and clinical variables. Methods Multiple search strategies included searches of Medline, EMBASE and PsycINFO, consistent with the methodology recommended by the Meta‐analysis of Observational Studies in Epidemiology (MOOSE) group; grey literature searches; and contact of experts for any additional unpublished data from studies meeting inclusion criteria. Random‐effects meta‐analyses were conducted for crude mortality rates (CMRs) and standardized mortality ratios (SMRs), with stratified analyses where possible. Meta‐regressions examined potentially important sources of heterogeneity across studies. Results Fifty‐eight prospective studies reported mortality rates from opioid‐dependent samples. Very high heterogeneity across studies was observed; pooled all‐cause CMR was 2.09 per 100 person‐years (PY; 95% CI; 1.93, 2.26), and the pooled SMR was 14.66 (95% CI: 12.82, 16.50). Males had higher CMRs and lower SMRs than females. Out‐of‐treatment periods had higher mortality risk than in‐treatment periods (pooled RR 2.38 (CI: 1.79, 3.17)). Causes of death varied across studies, but overdose was the most common cause. Multivariable regressions found the following predictors of mortality rates: country of origin; the proportion of sample injecting; the extent to which populations were recruited from an entire country (versus subnational); and year of publication. Conclusions Mortality among opioid‐dependent users varies across countries and populations. Treatment is clearly protective against mortality even in non‐randomized observational studies. Study characteristics predict mortality levels; these should be taken into account in future studies.
726 citations
TL;DR: Worldwide coverage of HIV prevention, treatment, and care services in IDU populations is very low, and there is an urgent need to improve coverage of these services in this at-risk population.
666 citations
University of Tasmania1, National Drug and Alcohol Research Centre2, Brown University3, University of Bristol4, University at Buffalo5, University College London6, University of Queensland7, King's College London8, University of Adelaide9, Institute for Health Metrics and Evaluation10, Centre for Mental Health11, University of New South Wales12
TL;DR: In 2015 alcohol use and tobacco smoking use between them cost the human population more than a quarter of a billion disability-adjusted life years, with illicit drugs costing further tens of millions.
Abstract: Amy Peacock, Janni Leung, Sarah Larney, Samantha Colledge, Matthew Hickman, Jurgen Rehm, Gary A. Giovino, Robert West, Wayne Hall, Paul Griffiths, Robert Ali, Linda Gowing, John Marsden, Alize J. Ferrari, Jason Grebely, Michael Farrell and Louisa Degenhardt
623 citations
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TL;DR: Mice adds new functionality for imputing multilevel data, automatic predictor selection, data handling, post-processing imputed values, specialized pooling routines, model selection tools, and diagnostic graphs.
Abstract: The R package mice imputes incomplete multivariate data by chained equations. The software mice 1.0 appeared in the year 2000 as an S-PLUS library, and in 2001 as an R package. mice 1.0 introduced predictor selection, passive imputation and automatic pooling. This article documents mice, which extends the functionality of mice 1.0 in several ways. In mice, the analysis of imputed data is made completely general, whereas the range of models under which pooling works is substantially extended. mice adds new functionality for imputing multilevel data, automatic predictor selection, data handling, post-processing imputed values, specialized pooling routines, model selection tools, and diagnostic graphs. Imputation of categorical data is improved in order to bypass problems caused by perfect prediction. Special attention is paid to transformations, sum scores, indices and interactions using passive imputation, and to the proper setup of the predictor matrix. mice can be downloaded from the Comprehensive R Archive Network. This article provides a hands-on, stepwise approach to solve applied incomplete data problems.
10,234 citations
01 Jan 2016
TL;DR: The modern applied statistics with s is universally compatible with any devices to read, and is available in the digital library an online access to it is set as public so you can download it instantly.
Abstract: Thank you very much for downloading modern applied statistics with s. As you may know, people have search hundreds times for their favorite readings like this modern applied statistics with s, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some harmful virus inside their laptop. modern applied statistics with s is available in our digital library an online access to it is set as public so you can download it instantly. Our digital library saves in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the modern applied statistics with s is universally compatible with any devices to read.
5,249 citations
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) as discussed by the authors was used to estimate the incidence, prevalence, and years lived with disability for diseases and injuries at the global, regional, and national scale over the period of 1990 to 2015.
5,050 citations
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2010 (GBD 2010) as discussed by the authors was used to estimate the burden of disease attributable to mental and substance use disorders in terms of disability-adjusted life years (DALYs), years of life lost to premature mortality (YLLs), and years lived with disability (YLDs).
4,753 citations