Evidence map›Paper›PMID 37197812›Full record

ArticleBMJ open2023

Cohort profile: POPPY II - a population-based cohort examining the patterns and outcomes of prescription opioid use in New South Wales, Australia.

Natasa Gisev, Sallie-Anne Pearson, Timothy Dobbins, Luke Buizen, Thomas Murphy, Andrew Wilson, Fiona Blyth, Adrian Dunlop, Sarah Larney, David C Currow and 2 more

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Natasa GisevNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, New South Wales, Australia n.gisev@unsw.edu.au.ORCID 0000-0003-0452-8470
Sallie-Anne PearsonSchool of Population Health, UNSW Sydney, Sydney, New South Wales, Australia.
Timothy DobbinsSchool of Population Health, UNSW Sydney, Sydney, New South Wales, Australia.
Luke BuizenNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, New South Wales, Australia.
Thomas MurphyNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, New South Wales, Australia.
Andrew WilsonMenzies Centre for Health Policy, The University of Sydney, Sydney, New South Wales, Australia.
Fiona BlythSchool of Public Health, The University of Sydney, Sydney, New South Wales, Australia.
Adrian DunlopSchool of Medicine and Public Health, The University of Newcastle, Newcastle, New South Wales, Australia.
Sarah LarneyDepartment of Family Medicine and Emergency Medicine and Centre de Recherche du Centre Hospitalier, de l'Université de Montréal, Montreal, Quebec, Canada.
David C CurrowFaculty of Science Medicine and Health, The University of Wollongong, Wollongong, New South Wales, Australia.
Richard P MattickNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, New South Wales, Australia.
Louisa DegenhardtNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0002-8513-2218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe POPPY II cohort is an Australian state-based cohort linking data for a population of individuals prescribed opioid medicines, constructed to allow a robust examination of the long-term patterns and outcomes of prescription opioid use.

participantsThe cohort includes 3 569 433 adult New South Wales residents who initiated a subsidised prescription opioid medicine between 2003 and 2018, identified through pharmacy dispensing data (Australian Pharmaceutical Benefits Scheme) and linked to 10 national and state datasets and registries including rich sociodemographic and medical services data. FINDINGS TO DATE: Of the 3.57 million individuals included in the cohort, 52.7% were female and 1 in 4 people were aged ≥65 years at the time of cohort entry. Approximately 6% had evidence of cancer in the year prior to cohort entry. In the 3 months prior to cohort entry, 26.9% used a non-opioid analgesic and 20.5% used a psychotropic medicine. Overall, 1 in 5 individuals were initiated on a strong opioid (20.9%). The most commonly initiated opioid was paracetamol/codeine (61.3%), followed by oxycodone (16.3%). FUTURE PLANS: The POPPY II cohort will be updated periodically, both extending the follow-up duration of the existing cohort, and including new individuals initiating opioids. The POPPY II cohort will allow a range of aspects of opioid utilisation to be studied, including long-term trajectories of opioid use, development of a data-informed method to assess time-varying opioid exposure, and a range of outcomes including mortality, transition to opioid dependence, suicide and falls. The duration of the study period will allow examination of population-level impacts of changes to opioid monitoring and access, while the size of the cohort will also allow examination of important subpopulations such as people with cancer, musculoskeletal conditions or opioid use disorder.

Indexed as

Opioid-Related DisordersPapaverPrescription DrugsAdultAnalgesics, OpioidAustraliaDrug PrescriptionsFemaleHumansMaleNew South WalesPractice Patterns, Physicians'Analgesics, OpioidPrescription DrugsEPIDEMIOLOGYPain managementPAIN MANAGEMENTPUBLIC HEALTH

Identifiers

PMID37197812
PMCPMC10193079

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.