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Community Opioid Dispending After Injury (CODI)- Protocol for a Population-Based Data Linkage Study170.13 kB
Published VersionCC BY V4.0, Open Access
Journal article
Community Opioid Dispensing After Injury (CODI): Protocol for a Population-Based Data Linkage Study
JMIR Research Protocols, Vol.11(4), pp.1-7
12-Apr-2022
PMID: 35412468
Abstract
Background:
There is an urgent need to reduce preventable deaths and hospitalizations from prescription opioid harms and minimize the negative effect opioid misuse can have on injured individuals, families, and the wider community. Data linkage between administrative hospitalization records for injured patients and community opioid dispensing can improve our understanding of the health and surgical trajectories of injured persons and generate insights into corresponding opioid dispensing patterns.
Objective:
The Community Opioid Dispensing after Injury (CODI) study aims to link inpatient hospitalization data with opioid dispensing data to examine the distribution and predictive factors associated with high or prolonged community opioid dispensing among adults, for 2 years following an injury-related hospital admission.
Methods:
This is a retrospective population-based cohort study of adults aged 18 years or older hospitalized with an injury in Queensland, Australia. The study involves the linkage of statewide hospital admissions, opioid prescription dispensing, and mortality data collections. All adults hospitalized for an injury between January 1, 2014, and December 31, 2015, will be included in the cohort. Demographics and injury factors are recorded at the time of the injury admission. Opioid dispensing data will be linked and extracted for 3 months prior to the injury admission date to 2 years after the injury separation date (last date December 31, 2017). Deaths data will be extracted for the 2-year follow-up period. The primary outcome measure will be opioid dispensing (frequency and quantity) in the 2 years following the injury admission. Patterns and factors associated with community opioid dispensing will be examined for different injury types, mechanisms, and population subgroups. Appropriate descriptive statistics will be used to describe the cohort. Regression models will be used to examine factors predictive of levels and duration of opioid use. Nonparametric methods will be applied when the data are not normally distributed.
Results:
The project is funded by the Royal Brisbane and Women’s Hospital Foundation. As of November 2021, all ethics and data custodian approvals have been granted. Data extraction and linkage has been completed. Data management and analysis is underway with results relating to an analysis for blunt chest trauma patients expected to be published in 2022.
Conclusions:
Little is currently known of the true prevalence or patterns of opioid dispensing following injury across Queensland. This study will provide new insights about factors associated with high and long-term opioid dispensing at a population level. This information is essential to inform targeted public policy and interventions to reduce the risk of prolonged opioid use and dependence for those injured. The novel work undertaken for this project will be vital to planning, delivering, monitoring, and evaluating health care services for those injured. The findings of this study will be used to inform key stakeholders as well as clinicians and pain management services.
Details
- Title
- Community Opioid Dispensing After Injury (CODI): Protocol for a Population-Based Data Linkage Study
- Authors
- Cate Cameron (Author) - Queensland University of TechnologyVictoria McCreanor (Author) - Queensland University of TechnologyRania Shibl (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringTanya Smyth (Author) - Royal Brisbane and Women's HospitalMelanie Proper (Author) - Royal Brisbane and Women's HospitalJacelle Warren (Author) - Queensland University of TechnologyKirsten Vallmuur (Author) - Queensland University of TechnologyNatalie K Bradford (Author) - Queensland University of TechnologyHannah E Carter (Author) - Queensland University of TechnologyNicholas Graves (Author) - Duke-NUS Medical SchoolBill Loveday (Author) - Queensland Health
- Publication details
- JMIR Research Protocols, Vol.11(4), pp.1-7
- Publisher
- JMIR Publications, Inc.
- Date published
- 12-Apr-2022
- DOI
- 10.2196/36357
- ISSN
- 1929-0748
- PMID
- 35412468
- Copyright note
- ©Cate M Cameron, Victoria McCreanor, Rania Shibl, Tanya Smyth, Melanie Proper, Jacelle Warren, Kirsten Vallmuur, Natalie Bradford, Hannah Carter, Nicholas Graves, Bill Loveday. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 12.04.2022. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99629437502621
- Output Type
- Journal article
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