Protocol for the Data-Linkage Alcohol Cohort Study (DACS): investigating mortality, morbidity and offending among people with an alcohol-related problem using linked administrative data.
Amy PeacockVivian ChiuJanni LeungTimothy DobbinsSarah LarneyNatasa GisevSallie-Anne PearsonLouisa DegenhardtPublished in: BMJ open (2019)
Ethics approval has been provided by the New South Wales Population and Health Services Research Ethics Committee. We will report our findings in accordance with the REporting of studies Conducted using Observational Routinely collected health Data (RECORD) statement and Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER) where appropriate. We will publish data in tabular, aggregate forms only. We will not disclose individual results. We will disseminate project findings at scientific conferences and in peer-reviewed journals. We will aim to present findings to relevant stakeholders (eg, addiction medicine and emergency medicine specialists, policy makers) to maximise translational impact of research findings.
Keyphrases
- public health
- big data
- electronic health record
- healthcare
- mental health
- randomized controlled trial
- emergency department
- gene expression
- machine learning
- high resolution
- adverse drug
- type diabetes
- cardiovascular events
- risk factors
- health information
- quality improvement
- data analysis
- hepatitis c virus
- human health
- deep learning
- antiretroviral therapy