Evidence map›Paper›PMID 37309058›Full record

ArticleBritish journal of clinical pharmacology2023

Patterns of suboptimal antipsychotic use and misuse in Australia: What can routinely collected data tell us?

Jonathan Brett, Malcolm B Gillies, Nicholas A Buckley, Sallie-Anne Pearson, Helga Zoega

Open access · hybridAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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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

5 authors at 2 institutions in 2 countries.

Jonathan BrettMedicines Intelligence in Health, School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0003-3065-7495
Malcolm B GilliesMedicines Intelligence in Health, School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0001-9038-8050
Nicholas A BuckleyNew South Wales Poisons Information Centre, Westmead Children's Hospital, Sydney, NSW, Australia.ORCID 0000-0002-6326-4711
Sallie-Anne PearsonMedicines Intelligence in Health, School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0001-7137-6855
Helga ZoegaMedicines Intelligence in Health, School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0003-0761-9028
New South Wales Department of Health · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThere are increasing concerns about harms related to suboptimal antipsychotic use. Here we describe recent population-based trends in antipsychotic use and harms in Australia and identify population groups exhibiting patterns of use likely to contribute to these harms.

methodsUsing population-based data from the Australian Pharmaceutical Benefits Scheme (2015-2020), poisoning calls to the New South Wales (NSW) Poisons Information Centre (2015-2020) and poisoning deaths in all coronial records (2005-2018) in Australia, we measured trends in the prevalence of antipsychotic use and related deaths and poisonings. We applied latent class analyses to identify patterns of antipsychotic use that may contribute to harms.

resultsQuetiapine and olanzapine had the highest prevalence of use between 2015 and 2020. Noteworthy trends included increases of 9.1% and 30.8% in quetiapine use and poisonings, while olanzapine use decreased by 4.5% but poisonings increased by 32.7%. Quetiapine and olanzapine poisonings and related deaths had the highest rates of co-ingestion of opioids, benzodiazepines and pregabalin compared to other antipsychotics. We identified six distinct population groups using antipsychotics: (i) ongoing high-dose use with sedatives (8%), (ii) ongoing use (42%), (iii) ongoing use with analgesics and sedatives (11%), (iv) long-term low-dose use (9%), (v) sporadic use (20%) and (vi) sporadic use with analgesics (10%).

conclusionOngoing potentially suboptimal antipsychotic use and associated harms highlight the need to monitor such patterns of use, for example through prescription monitoring systems.

Indexed as

Antipsychotic AgentsAnalgesicsAustraliaBenzodiazepinesHumansHypnotics and SedativesOlanzapineQuetiapine FumarateRoutinely Collected Health DataAnalgesicsAntipsychotic AgentsBenzodiazepinesHypnotics and SedativesOlanzapineQuetiapine Fumarateantipsychoticdeathdispensinglatent class analysisoverdose

Identifiers

PMID37309058
PMCPMC10953398
OpenAlexW4380422116

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.