Characteristics of attrition within the SuperMIX cohort of people who inject drugs: A multiple event discrete-time survival analysis DOI Creative Commons
Shady Abdelsalam, Paul A. Agius, Rachel Sacks‐Davis

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 15, 2024

Abstract Background Compared to the general population, people who inject drugs have poor health and wellbeing. Longitudinal studies can provide insight into factors driving these worse outcomes but are subject methodological challenges, such as cohort attrition. The aim of this study was assess characterise attrition in a prospective Victoria, Australia. Methods Using annually collected self-reported data from Melbourne Injecting Drug User Cohort Study (SuperMIX) September 2008 January 2021, we estimated incidence participants being lost-to-follow-up (LTFU), with an episode LTFU defined not undertaking follow-up interview within two years their last interview. We utilised multiple event discrete-time survival analysis on participant period-observation estimate associations between key LTFU. Key areas exposure measurement analyses were sociodemographic, drug use mental health. Results A total n=1328 SuperMIX completed baseline interview, n=489 (36.8%) LTFU, i.e. completing follow up following years. Increased observed among were: born outside Australia, younger than 30 years, reporting having fewer education, residing stable accommodation, employment opioid agonist therapy (OAT). Conclusions rate has largely been throughout duration study. Higher rates individuals at greater sociodemographic disadvantage OAT suggest that additional efforts required retain participants. Findings also might be capturing adverse wellbeing greatest risk harm.

Language: Английский

How the Covid-19 Pandemic Worsened Intimate Partner Violence: Findings from a South Africa High-Risk Community Study DOI
Xichen Wang, Sheldon X. Zhang, Annah K. Bender

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
‘Matters-of-concern’ associated with discontinuation of long-acting injectable buprenorphine: Findings from a longitudinal qualitative study DOI
Stephen Parkin, Joanne Neale, John Strang

et al.

International Journal of Drug Policy, Journal Year: 2024, Volume and Issue: 129, P. 104470 - 104470

Published: June 5, 2024

Language: Английский

Citations

3
Predicting Risk of Heroin Overdose, Remission, Use, and Mortality Using Ensemble Learning Methods in a Cohort of People with Heroin Dependence DOI Creative Commons
Christina Marel,

Mohammad H. Afzali,

Matthew Sunderland

et al.

International Journal of Mental Health and Addiction, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 26, 2024

Abstract Despite decades of research demonstrating the effectiveness treatments for heroin dependence, rates use, and death have dramatically increased over past decade. While evidence has highlighted a range risk protective factors relapse, remission, other outcomes, this presents clinicians with challenge as to how synthesise integrate evolving evidence-base guide clinical decision-making facilitate provision personalised healthcare. Using data from 11-year follow-up Australian Treatment Outcome Study (ATOS), we aimed develop prediction model assist calculate heroin-related outcomes at varying intervals their clients based on known factors. Between 2001 2002, 615 people dependence were recruited part prospective longitudinal cohort study. An ensemble machine learning approach was applied predict overdose, mortality 1-, 5-, 10 + year post-study entry. Variables most consistently ranked in top terms level importance across included age; age first got high, used heroin, or injected; sexual trauma; years school completed; prison history; severe mental health disability; month criminal involvement; benzodiazepine use. This study provides clinically relevant information key associated non-fatal among help selection tailoring interventions ensure that ‘ right treatment ’ is delivered person time .

Language: Английский

Citations

1
Characteristics of attrition within the SuperMIX cohort of people who inject drugs: a multiple event discrete-time survival analysis DOI Creative Commons
Shady Abdelsalam, Paul A. Agius, Rachel Sacks‐Davis

et al.

BMC Medical Research Methodology, Journal Year: 2024, Volume and Issue: 24(1)

Published: Oct. 30, 2024

Compared to the general population, people who inject drugs have poor health and wellbeing. Longitudinal studies can provide insight into factors driving these worse outcomes but are subject methodological challenges, such as cohort attrition. The aim of this study was assess characterise attrition in a prospective Victoria, Australia.

Language: Английский

Citations

1
Differences in heroin overdose deaths in Australia by age, 2020-2022: Disease and estimated survival times DOI Creative Commons
Shane Darke, Johan Duflou, Amy Peacock

et al.

Drug and Alcohol Dependence Reports, Journal Year: 2024, Volume and Issue: 10, P. 100217 - 100217

Published: Jan. 21, 2024

Language: Английский

Citations

0
Different Tokes for Different Folks: Use of Cannabis Products Among a Longitudinal Cohort of People with Heroin Dependence DOI Creative Commons
Jack Wilson, Katherine L. Mills, Matthew Sunderland

et al.

International Journal of Mental Health and Addiction, Journal Year: 2023, Volume and Issue: unknown

Published: May 15, 2023

Co-occurring cannabis use is common among those with opioid disorder (OUD), but the extent to which it harmful may be due its preparation and concentration of various cannabinoids. The current study aimed examine prevalence of, long-term associations with, varying products a naturalistic longitudinal cohort people heroin dependence. A total 615 people, most whom were entering treatment, recruited Australian Treatment Outcome Study (ATOS) in 2001-2002. This analysis focuses on 401 participants followed up at 18-20 years post baseline. Structured interviews assessed products, as well demographic health covariates. High-potency/indoor-grown was type ever used (68.8%), past 12 months (80.4%), by low potency/outdoor grown (22.4%; 14.4%), less so for other types cannabis. After controlling covariates, older age baseline associated lower odds high-potency being primary months. In contrast studies non-opioid dependent populations, not more severe outcomes.The online version contains supplementary material available 10.1007/s11469-023-01071-5.

Language: Английский

Citations

1
Long-term patterns of treatment use for opioid use disorder (OUD): Findings from the 18-20-year Australian Treatment Outcome Study DOI Creative Commons
Jack Wilson, Katherine L. Mills, Matthew Sunderland

et al.

International Journal of Drug Policy, Journal Year: 2023, Volume and Issue: 120, P. 104187 - 104187

Published: Sept. 13, 2023

Opioid-related deaths continue to increase unprecedented rates in many regions of the world. While long-term stable treatment has been shown reduce associated morbidity and mortality, discontinuation numerous episodes are common, limiting our understanding common course characteristics. Therefore, using an 18-20-year follow-up people with heroin dependence, we aimed identify i) distinct trajectories use, ii) whether baseline characteristics predict trajectory group membership, if membership is at 18-20-years post-baseline.A total 615 dependence were recruited from maintenance therapy, detoxification, residential rehabilitation, or needle syringe programs as part Australian Treatment Outcome Study (ATOS), a longitudinal cohort followed up on seven occasions over between 2001 2021. Of those who had complete data (n = 393), group-based modelling series multinomial logistical regressions conducted.Five use identified: 'long-term low treatment' (17.2%), 'rapid gradual decrease' (13.9%), iii) 'late increase' (17.8%), (iv) (27.7%), (v) 'reduced (23.5%). Entering predicted while was demographics heroin, methamphetamine, alcohol, benzodiazepines 18-20-years.In one longest studies its kind, characterised 18-20-years. Clinicians should be aware potential impact substance use. Despite well-documented benefits treatment, some patients may able achieve abstinence opioids without engaging life-course.

Language: Английский

Citations

1
Characteristics of attrition within the SuperMIX cohort of people who inject drugs: A multiple event discrete-time survival analysis DOI Creative Commons
Shady Abdelsalam, Paul A. Agius, Rachel Sacks‐Davis

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 15, 2024

Abstract Background Compared to the general population, people who inject drugs have poor health and wellbeing. Longitudinal studies can provide insight into factors driving these worse outcomes but are subject methodological challenges, such as cohort attrition. The aim of this study was assess characterise attrition in a prospective Victoria, Australia. Methods Using annually collected self-reported data from Melbourne Injecting Drug User Cohort Study (SuperMIX) September 2008 January 2021, we estimated incidence participants being lost-to-follow-up (LTFU), with an episode LTFU defined not undertaking follow-up interview within two years their last interview. We utilised multiple event discrete-time survival analysis on participant period-observation estimate associations between key LTFU. Key areas exposure measurement analyses were sociodemographic, drug use mental health. Results A total n=1328 SuperMIX completed baseline interview, n=489 (36.8%) LTFU, i.e. completing follow up following years. Increased observed among were: born outside Australia, younger than 30 years, reporting having fewer education, residing stable accommodation, employment opioid agonist therapy (OAT). Conclusions rate has largely been throughout duration study. Higher rates individuals at greater sociodemographic disadvantage OAT suggest that additional efforts required retain participants. Findings also might be capturing adverse wellbeing greatest risk harm.

Language: Английский

Citations

0