Evidence map›Paper›PMID 40567010›Full record

ArticleThe Medical journal of Australia2025

Prescription opioid supply-restricting policies and hospital use by people prescribed opioid medications, Victoria, 2018-22: a controlled interrupted time series analysis.

Suzanne Nielsen, Louisa Picco, Bosco Rowland, Nadine E Andrew, Taya A Collyer, Samanta Lalic, Rachelle Buchbinder, Christopher Pearce, J Simon Bell, Dan I Lubman and 1 more

Abstract read
In one paragraph

Article in The Medical journal of Australia, 2025. 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.

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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

11 authors.

Suzanne NielsenMonash University, Melbourne, VIC.ORCID 0000-0001-5341-1055
Louisa PiccoMonash University, Melbourne, VIC.
Bosco RowlandMonash University, Melbourne, VIC.
Nadine E AndrewMonash University, Melbourne, VIC.ORCID 0000-0002-4846-2840
Taya A CollyerMonash University, Melbourne, VIC.ORCID 0000-0001-8612-1724
Samanta LalicMonash University, Melbourne, VIC.
Rachelle BuchbinderMonash University, Melbourne, VIC.
Christopher PearceOutcome Health, Melbourne, VIC.
J Simon BellMonash University, Melbourne, VIC.
Dan I LubmanMonash University, Melbourne, VIC.
Ting XiaMonash University, Melbourne, VIC.ORCID 0000-0001-5033-6248

Funding

National Health and Medical Research Council 1196892National Health and Medical Research Council 194483National Health and Medical Research Council 2016909National Health and Medical Research Council 2025894National Health and Medical Research Council GNT2002193
6 · The paper itself

Abstract

objectivesTo investigate the combined effect of two policies for reducing prescription opioid supply in Australia on hospital use by people prescribed opioids in primary care. STUDY

designRetrospective data linkage study; controlled interrupted time series analysis of linked primary care electronic medication records and hospital admissions data.

settingThree Victorian health care networks (Monash Health, Eastern Health, Peninsula Health); pre-intervention period: 1 April 2018 - 31 March 2020; intervention period: 1 April 2020 - 31 March 2022.

participantsPeople prescribed opioid medications at least twice during the preceding six months (opioid group) and propensity score-matched patients, based on age, gender, comorbidity, and residential postcode-based socio-economic status (control group); matching was undertaken for each month of the study period.

interventionMandatory prescription drug monitoring (from 1 April 2020); tighter restriction criteria for the subsidisation of opioid medications by the Pharmaceutical Benefits Scheme (PBS) (from 1 June 2020).

main outcome measuresDifferences between the opioid and control groups in immediate changes after start of the intervention in rates of emergency department (ED) presentation and hospital admission related to opioid use, non-opioid substance use, self-harm, or mental health problems; differences between the two groups in the change in trend for these rates between the pre-intervention and intervention periods.

resultsPropensity matching was undertaken for 179 091 people in the opioid group and a total of 389 061 people in the control group. The opioid-related ED presentation rate for the opioid group had been increasing prior to the intervention, but declined after its introduction at a rate not significantly different from that of the control group. The immediate change in non-opioid substance-related ED presentation rate was greater for the opioid group than the control group (β, 11.1 [95% confidence interval, 1.7-20.5] presentations per 100 000 patients); by 31 March 2022, the rate had declined to below the pre-intervention level. Differences between groups in changes to self-harm- and mental health-related presentations, and in all hospital admission rates, were not statistically significant.

conclusionFollowing implementation of two prescription opioid supply-restricting polices in 2020, the opioid-related ED presentation rate declined among people prescribed opioids; the non-opioid substance-related presentation rate initially increased, but was lower than the pre-intervention level by the end of the study period. Our findings suggest that some opioid-restricting policies can reduce opioid-related harm without increasing long term non-opioid substance- or mental health-related harm. STUDY REGISTRATION: European post-authorisation study register (EUROPAS), EUPAS104005 (prospective).

Indexed as

Analgesics, OpioidHospitalizationOpioid-Related DisordersAdultAgedEmergency Service, HospitalFemaleHumansInterrupted Time Series AnalysisMaleMiddle AgedPrimary Health CareRetrospective StudiesVictoriaAnalgesics, Opioiddrugs and alcoholOpioid‐related disordersPain managementPolicyPrimary health careSubstance‐related disorders

Identifiers

PMID40567010
PMCPMC12318491

What Socratic holds

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LicenceCC BY
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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 Socratic graph.