Cohort profile: Using primary care data to understand Opioid Prescribing, Policy Impacts and Clinical Outcomes (OPPICO) in Victoria, Australia.

Purpose The OPPICO cohort is a population-based cohort based on non-identifiable electronic health records routinely collected from 464 general practices in Victoria, Australia, created with the aim of understanding opioid prescribing, policy impacts and clinical outcomes. The aim of this paper is to provide a profile of the study cohort by summarising available demographic, clinical and prescribing characteristics.Participants The cohort described in this paper comprises people who were aged at least 14 years at cohort entry, and who were prescribed an opioid analgesic at least once at participating practices for a total of 1 137 728 person-years from 1 January 2015 to 31 December 2020. The cohort was formed using the data collected from electronic health records through the Population Level Analysis and Reporting (POLAR) system. The POLAR data primarily consist of patient demographics, clinical measurements, Australian Medicare Benefits Scheme item numbers, diagnoses, pathology testing and prescribed medications.Finding to date In total, the cohort consists of 676 970 participants with 4 389 185 opioid prescription records from 1 January 2015 to 31 December 2020. Approximately half (48.7%) received a single opioid prescription, and 0.9% received more than 100 opioid prescriptions. The mean number of opioid prescriptions per patient was 6.5 (SD=20.9); prescriptions for strong opioids accounted for 55.6% of all opioid prescriptions.Future plans The OPPICO cohort data will be used for various types of pharmacoepidemiological research, including examining the impact of policy changes on coprescription of opioids with benzodiazepines and gabapentin, and monitoring trends and patterns of other medication utilisation. Through data-linkage between our OPPICO cohort and hospital outcome data, we will examine whether policy changes for opioid prescribing lead to changes in prescription opioid-related harms, and other drug and mental health-related outcomes.Trial registration number EU PAS Register (EUPAS43218, prospectively registered). Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Rachelle Buchbinder [verfasserIn] Christopher Pearce [verfasserIn] Ting Xia [verfasserIn] Dan Lubman [verfasserIn] Suzanne Nielsen [verfasserIn] Jenni Ilomäki [verfasserIn] J Simon Bell [verfasserIn] Louisa Picco [verfasserIn] Romi Haas [verfasserIn] Samanta Lalic [verfasserIn] Monica Jung [verfasserIn] Helena Cangadis-Douglass [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Übergeordnetes Werk:	In: BMJ Open - BMJ Publishing Group, 2011, 13(2023), 5
Übergeordnetes Werk:	volume:13 ; year:2023 ; number:5

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1136/bmjopen-2022-067746

Katalog-ID:	DOAJ090186559

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spelling	10.1136/bmjopen-2022-067746 doi (DE-627)DOAJ090186559 (DE-599)DOAJ05dea6b89ad74fa992f97413eb12e5e9 DE-627 ger DE-627 rakwb eng Rachelle Buchbinder verfasserin aut Cohort profile: Using primary care data to understand Opioid Prescribing, Policy Impacts and Clinical Outcomes (OPPICO) in Victoria, Australia. 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose The OPPICO cohort is a population-based cohort based on non-identifiable electronic health records routinely collected from 464 general practices in Victoria, Australia, created with the aim of understanding opioid prescribing, policy impacts and clinical outcomes. The aim of this paper is to provide a profile of the study cohort by summarising available demographic, clinical and prescribing characteristics.Participants The cohort described in this paper comprises people who were aged at least 14 years at cohort entry, and who were prescribed an opioid analgesic at least once at participating practices for a total of 1 137 728 person-years from 1 January 2015 to 31 December 2020. The cohort was formed using the data collected from electronic health records through the Population Level Analysis and Reporting (POLAR) system. The POLAR data primarily consist of patient demographics, clinical measurements, Australian Medicare Benefits Scheme item numbers, diagnoses, pathology testing and prescribed medications.Finding to date In total, the cohort consists of 676 970 participants with 4 389 185 opioid prescription records from 1 January 2015 to 31 December 2020. Approximately half (48.7%) received a single opioid prescription, and 0.9% received more than 100 opioid prescriptions. The mean number of opioid prescriptions per patient was 6.5 (SD=20.9); prescriptions for strong opioids accounted for 55.6% of all opioid prescriptions.Future plans The OPPICO cohort data will be used for various types of pharmacoepidemiological research, including examining the impact of policy changes on coprescription of opioids with benzodiazepines and gabapentin, and monitoring trends and patterns of other medication utilisation. Through data-linkage between our OPPICO cohort and hospital outcome data, we will examine whether policy changes for opioid prescribing lead to changes in prescription opioid-related harms, and other drug and mental health-related outcomes.Trial registration number EU PAS Register (EUPAS43218, prospectively registered). Medicine R Christopher Pearce verfasserin aut Ting Xia verfasserin aut Dan Lubman verfasserin aut Suzanne Nielsen verfasserin aut Jenni Ilomäki verfasserin aut J Simon Bell verfasserin aut Louisa Picco verfasserin aut Romi Haas verfasserin aut Samanta Lalic verfasserin aut Monica Jung verfasserin aut Helena Cangadis-Douglass verfasserin aut In BMJ Open BMJ Publishing Group, 2011 13(2023), 5 (DE-627)654747075 (DE-600)2599832-8 20446055 nnns volume:13 year:2023 number:5 https://doi.org/10.1136/bmjopen-2022-067746 kostenfrei https://doaj.org/article/05dea6b89ad74fa992f97413eb12e5e9 kostenfrei https://bmjopen.bmj.com/content/13/5/e067746.full kostenfrei https://doaj.org/toc/2044-6055 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 5
allfields_unstemmed	10.1136/bmjopen-2022-067746 doi (DE-627)DOAJ090186559 (DE-599)DOAJ05dea6b89ad74fa992f97413eb12e5e9 DE-627 ger DE-627 rakwb eng Rachelle Buchbinder verfasserin aut Cohort profile: Using primary care data to understand Opioid Prescribing, Policy Impacts and Clinical Outcomes (OPPICO) in Victoria, Australia. 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose The OPPICO cohort is a population-based cohort based on non-identifiable electronic health records routinely collected from 464 general practices in Victoria, Australia, created with the aim of understanding opioid prescribing, policy impacts and clinical outcomes. The aim of this paper is to provide a profile of the study cohort by summarising available demographic, clinical and prescribing characteristics.Participants The cohort described in this paper comprises people who were aged at least 14 years at cohort entry, and who were prescribed an opioid analgesic at least once at participating practices for a total of 1 137 728 person-years from 1 January 2015 to 31 December 2020. The cohort was formed using the data collected from electronic health records through the Population Level Analysis and Reporting (POLAR) system. The POLAR data primarily consist of patient demographics, clinical measurements, Australian Medicare Benefits Scheme item numbers, diagnoses, pathology testing and prescribed medications.Finding to date In total, the cohort consists of 676 970 participants with 4 389 185 opioid prescription records from 1 January 2015 to 31 December 2020. Approximately half (48.7%) received a single opioid prescription, and 0.9% received more than 100 opioid prescriptions. The mean number of opioid prescriptions per patient was 6.5 (SD=20.9); prescriptions for strong opioids accounted for 55.6% of all opioid prescriptions.Future plans The OPPICO cohort data will be used for various types of pharmacoepidemiological research, including examining the impact of policy changes on coprescription of opioids with benzodiazepines and gabapentin, and monitoring trends and patterns of other medication utilisation. Through data-linkage between our OPPICO cohort and hospital outcome data, we will examine whether policy changes for opioid prescribing lead to changes in prescription opioid-related harms, and other drug and mental health-related outcomes.Trial registration number EU PAS Register (EUPAS43218, prospectively registered). Medicine R Christopher Pearce verfasserin aut Ting Xia verfasserin aut Dan Lubman verfasserin aut Suzanne Nielsen verfasserin aut Jenni Ilomäki verfasserin aut J Simon Bell verfasserin aut Louisa Picco verfasserin aut Romi Haas verfasserin aut Samanta Lalic verfasserin aut Monica Jung verfasserin aut Helena Cangadis-Douglass verfasserin aut In BMJ Open BMJ Publishing Group, 2011 13(2023), 5 (DE-627)654747075 (DE-600)2599832-8 20446055 nnns volume:13 year:2023 number:5 https://doi.org/10.1136/bmjopen-2022-067746 kostenfrei https://doaj.org/article/05dea6b89ad74fa992f97413eb12e5e9 kostenfrei https://bmjopen.bmj.com/content/13/5/e067746.full kostenfrei https://doaj.org/toc/2044-6055 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 5
allfieldsGer	10.1136/bmjopen-2022-067746 doi (DE-627)DOAJ090186559 (DE-599)DOAJ05dea6b89ad74fa992f97413eb12e5e9 DE-627 ger DE-627 rakwb eng Rachelle Buchbinder verfasserin aut Cohort profile: Using primary care data to understand Opioid Prescribing, Policy Impacts and Clinical Outcomes (OPPICO) in Victoria, Australia. 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose The OPPICO cohort is a population-based cohort based on non-identifiable electronic health records routinely collected from 464 general practices in Victoria, Australia, created with the aim of understanding opioid prescribing, policy impacts and clinical outcomes. The aim of this paper is to provide a profile of the study cohort by summarising available demographic, clinical and prescribing characteristics.Participants The cohort described in this paper comprises people who were aged at least 14 years at cohort entry, and who were prescribed an opioid analgesic at least once at participating practices for a total of 1 137 728 person-years from 1 January 2015 to 31 December 2020. The cohort was formed using the data collected from electronic health records through the Population Level Analysis and Reporting (POLAR) system. The POLAR data primarily consist of patient demographics, clinical measurements, Australian Medicare Benefits Scheme item numbers, diagnoses, pathology testing and prescribed medications.Finding to date In total, the cohort consists of 676 970 participants with 4 389 185 opioid prescription records from 1 January 2015 to 31 December 2020. Approximately half (48.7%) received a single opioid prescription, and 0.9% received more than 100 opioid prescriptions. The mean number of opioid prescriptions per patient was 6.5 (SD=20.9); prescriptions for strong opioids accounted for 55.6% of all opioid prescriptions.Future plans The OPPICO cohort data will be used for various types of pharmacoepidemiological research, including examining the impact of policy changes on coprescription of opioids with benzodiazepines and gabapentin, and monitoring trends and patterns of other medication utilisation. Through data-linkage between our OPPICO cohort and hospital outcome data, we will examine whether policy changes for opioid prescribing lead to changes in prescription opioid-related harms, and other drug and mental health-related outcomes.Trial registration number EU PAS Register (EUPAS43218, prospectively registered). Medicine R Christopher Pearce verfasserin aut Ting Xia verfasserin aut Dan Lubman verfasserin aut Suzanne Nielsen verfasserin aut Jenni Ilomäki verfasserin aut J Simon Bell verfasserin aut Louisa Picco verfasserin aut Romi Haas verfasserin aut Samanta Lalic verfasserin aut Monica Jung verfasserin aut Helena Cangadis-Douglass verfasserin aut In BMJ Open BMJ Publishing Group, 2011 13(2023), 5 (DE-627)654747075 (DE-600)2599832-8 20446055 nnns volume:13 year:2023 number:5 https://doi.org/10.1136/bmjopen-2022-067746 kostenfrei https://doaj.org/article/05dea6b89ad74fa992f97413eb12e5e9 kostenfrei https://bmjopen.bmj.com/content/13/5/e067746.full kostenfrei https://doaj.org/toc/2044-6055 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 5
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title	Cohort profile: Using primary care data to understand Opioid Prescribing, Policy Impacts and Clinical Outcomes (OPPICO) in Victoria, Australia.
ctrlnum	(DE-627)DOAJ090186559 (DE-599)DOAJ05dea6b89ad74fa992f97413eb12e5e9
title_full	Cohort profile: Using primary care data to understand Opioid Prescribing, Policy Impacts and Clinical Outcomes (OPPICO) in Victoria, Australia
author_sort	Rachelle Buchbinder
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author_browse	Rachelle Buchbinder Christopher Pearce Ting Xia Dan Lubman Suzanne Nielsen Jenni Ilomäki J Simon Bell Louisa Picco Romi Haas Samanta Lalic Monica Jung Helena Cangadis-Douglass
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author-letter	Rachelle Buchbinder
doi_str_mv	10.1136/bmjopen-2022-067746
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title_sort	cohort profile: using primary care data to understand opioid prescribing, policy impacts and clinical outcomes (oppico) in victoria, australia
title_auth	Cohort profile: Using primary care data to understand Opioid Prescribing, Policy Impacts and Clinical Outcomes (OPPICO) in Victoria, Australia.
abstract	Purpose The OPPICO cohort is a population-based cohort based on non-identifiable electronic health records routinely collected from 464 general practices in Victoria, Australia, created with the aim of understanding opioid prescribing, policy impacts and clinical outcomes. The aim of this paper is to provide a profile of the study cohort by summarising available demographic, clinical and prescribing characteristics.Participants The cohort described in this paper comprises people who were aged at least 14 years at cohort entry, and who were prescribed an opioid analgesic at least once at participating practices for a total of 1 137 728 person-years from 1 January 2015 to 31 December 2020. The cohort was formed using the data collected from electronic health records through the Population Level Analysis and Reporting (POLAR) system. The POLAR data primarily consist of patient demographics, clinical measurements, Australian Medicare Benefits Scheme item numbers, diagnoses, pathology testing and prescribed medications.Finding to date In total, the cohort consists of 676 970 participants with 4 389 185 opioid prescription records from 1 January 2015 to 31 December 2020. Approximately half (48.7%) received a single opioid prescription, and 0.9% received more than 100 opioid prescriptions. The mean number of opioid prescriptions per patient was 6.5 (SD=20.9); prescriptions for strong opioids accounted for 55.6% of all opioid prescriptions.Future plans The OPPICO cohort data will be used for various types of pharmacoepidemiological research, including examining the impact of policy changes on coprescription of opioids with benzodiazepines and gabapentin, and monitoring trends and patterns of other medication utilisation. Through data-linkage between our OPPICO cohort and hospital outcome data, we will examine whether policy changes for opioid prescribing lead to changes in prescription opioid-related harms, and other drug and mental health-related outcomes.Trial registration number EU PAS Register (EUPAS43218, prospectively registered).
abstractGer	Purpose The OPPICO cohort is a population-based cohort based on non-identifiable electronic health records routinely collected from 464 general practices in Victoria, Australia, created with the aim of understanding opioid prescribing, policy impacts and clinical outcomes. The aim of this paper is to provide a profile of the study cohort by summarising available demographic, clinical and prescribing characteristics.Participants The cohort described in this paper comprises people who were aged at least 14 years at cohort entry, and who were prescribed an opioid analgesic at least once at participating practices for a total of 1 137 728 person-years from 1 January 2015 to 31 December 2020. The cohort was formed using the data collected from electronic health records through the Population Level Analysis and Reporting (POLAR) system. The POLAR data primarily consist of patient demographics, clinical measurements, Australian Medicare Benefits Scheme item numbers, diagnoses, pathology testing and prescribed medications.Finding to date In total, the cohort consists of 676 970 participants with 4 389 185 opioid prescription records from 1 January 2015 to 31 December 2020. Approximately half (48.7%) received a single opioid prescription, and 0.9% received more than 100 opioid prescriptions. The mean number of opioid prescriptions per patient was 6.5 (SD=20.9); prescriptions for strong opioids accounted for 55.6% of all opioid prescriptions.Future plans The OPPICO cohort data will be used for various types of pharmacoepidemiological research, including examining the impact of policy changes on coprescription of opioids with benzodiazepines and gabapentin, and monitoring trends and patterns of other medication utilisation. Through data-linkage between our OPPICO cohort and hospital outcome data, we will examine whether policy changes for opioid prescribing lead to changes in prescription opioid-related harms, and other drug and mental health-related outcomes.Trial registration number EU PAS Register (EUPAS43218, prospectively registered).
abstract_unstemmed	Purpose The OPPICO cohort is a population-based cohort based on non-identifiable electronic health records routinely collected from 464 general practices in Victoria, Australia, created with the aim of understanding opioid prescribing, policy impacts and clinical outcomes. The aim of this paper is to provide a profile of the study cohort by summarising available demographic, clinical and prescribing characteristics.Participants The cohort described in this paper comprises people who were aged at least 14 years at cohort entry, and who were prescribed an opioid analgesic at least once at participating practices for a total of 1 137 728 person-years from 1 January 2015 to 31 December 2020. The cohort was formed using the data collected from electronic health records through the Population Level Analysis and Reporting (POLAR) system. The POLAR data primarily consist of patient demographics, clinical measurements, Australian Medicare Benefits Scheme item numbers, diagnoses, pathology testing and prescribed medications.Finding to date In total, the cohort consists of 676 970 participants with 4 389 185 opioid prescription records from 1 January 2015 to 31 December 2020. Approximately half (48.7%) received a single opioid prescription, and 0.9% received more than 100 opioid prescriptions. The mean number of opioid prescriptions per patient was 6.5 (SD=20.9); prescriptions for strong opioids accounted for 55.6% of all opioid prescriptions.Future plans The OPPICO cohort data will be used for various types of pharmacoepidemiological research, including examining the impact of policy changes on coprescription of opioids with benzodiazepines and gabapentin, and monitoring trends and patterns of other medication utilisation. Through data-linkage between our OPPICO cohort and hospital outcome data, we will examine whether policy changes for opioid prescribing lead to changes in prescription opioid-related harms, and other drug and mental health-related outcomes.Trial registration number EU PAS Register (EUPAS43218, prospectively registered).
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title_short	Cohort profile: Using primary care data to understand Opioid Prescribing, Policy Impacts and Clinical Outcomes (OPPICO) in Victoria, Australia.
url	https://doi.org/10.1136/bmjopen-2022-067746 https://doaj.org/article/05dea6b89ad74fa992f97413eb12e5e9 https://bmjopen.bmj.com/content/13/5/e067746.full https://doaj.org/toc/2044-6055
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author2	Christopher Pearce Ting Xia Dan Lubman Suzanne Nielsen Jenni Ilomäki J Simon Bell Louisa Picco Romi Haas Samanta Lalic Monica Jung Helena Cangadis-Douglass
author2Str	Christopher Pearce Ting Xia Dan Lubman Suzanne Nielsen Jenni Ilomäki J Simon Bell Louisa Picco Romi Haas Samanta Lalic Monica Jung Helena Cangadis-Douglass
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up_date	2024-07-04T02:11:45.212Z
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