Dean T. Eurich

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Articles (16)

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Purpose Reducing initial exposure of “opioid naïve” patients to opioids is a public health priority. Identifying opioid naïve patients is difficult, as numerous definitions are used. The objective is to summarize current definitions and evaluate their impact on opioid naïve measures in Alberta. Methods An exploratory data analysis of the literature was conducted over the last 10 years to identify definitions commonly used in the literature to define opioid naïve. Then, using these definitions as a guide, we descriptively report the proportion of patients in Alberta between 2017 and 2021 who would be considered as opioid naïve using these definitions and all opioid dispensing data. Results Three categories of definitions were broadly identified: (1) no opioid use within the previous 30 days/6 months/1 year, based on dispensation date; (2) no opioid use based on dispensation date plus days of supply; and, (3) exclusion of codeine from Definitions 1 and 2. Applying these definitions to the Alberta population showed a very wide range in the proportion who would be considered as opioid naïve. Overall, 36.4% of Albertans ( n = 1 551 075) had an opioid dispensation in 2017–2021. The average age was 46.6 ± 18.8 and 52.8% were female. The proportion of opioid naïve were most affected by the “opioid free” period, with 97.4%, 83.2%, and 65.6% being classified as opioid naïve using time windows from Definition 1 (30 days, 6 months, 1 year of no prior opioid use). Definitions 2 and 3 did not materially change the results. Further extending the “opioid free” period to 2 years showed only 35% were opioid naïve. Conclusions The most convenient definition for “opioid naïve” was the use of an “opioid free” period. The choice of window would depend on how the information may be used to assistant in clinical decisions with longer windows more likely to reflect true opioid naïve patients. Irrespective of definition used, a large proportion of opioid users would be considered opioid naïve in Alberta.

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (15)

Cheryl Sadowski

Professor

University of Alberta

CANADA
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Padma Kaul

-

CANADA
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Katrina Milaney

Assistant Professor

University of Calgary

CANADA
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Roni Y Kraut

University of Alberta

CANADA
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Roseanne Yeung

University of Alberta

CANADA
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Darren Lau

Assistant Professor

University of Alberta

CANADA
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Lisa Lix

Professor

University of Manitoba Max Rady College of Medicine

CANADA
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Sonia Butalia

University of Calgary

CANADA
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Christina Korownyk

University of Alberta

CANADA
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Scott Patten

Professor

University of Calgary

CANADA
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Scot H. Simpson

University of Alberta

CANADA
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David Blackburn

-

CANADA
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Yoon Kong Loke

University of East Anglia

UNITED KINGDOM
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Arsene Zongo

Centre de recherche du CHU de Québec-Université Laval

CANADA
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Allan Clark

University of East Anglia

UNITED KINGDOM
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