Evidence map›Paper›PMID 37606853›Full record

Observational studySupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2023

The impact of the COVID-19 pandemic on community prescription of opioid and antineuropathic analgesics for cancer patients in Wales, UK.

Jun Han, Martin Rolles, Fatemeh Torabi, Rowena Griffiths, Stuart Bedston, Ashley Akbari, Bruce Burnett, Jane Lyons, Giles Greene, Rebecca Thomas and 5 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

15 authors at 4 institutions in 1 country.

Jun HanPopulation Data Science, Swansea University Medical School, Swansea, UK.
Martin RollesPopulation Data Science, Swansea University Medical School, Swansea, UK. m.j.rolles@swansea.ac.uk.
Fatemeh TorabiPopulation Data Science, Swansea University Medical School, Swansea, UK.
Rowena GriffithsPopulation Data Science, Swansea University Medical School, Swansea, UK.
Stuart BedstonPopulation Data Science, Swansea University Medical School, Swansea, UK.
Ashley AkbariPopulation Data Science, Swansea University Medical School, Swansea, UK.
Bruce BurnettPopulation Data Science, Swansea University Medical School, Swansea, UK.
Jane LyonsPopulation Data Science, Swansea University Medical School, Swansea, UK.
Giles GreeneWelsh Cancer Intelligence and Surveillance Unit, Public Health Wales, Cardiff, UK.
Rebecca ThomasObservatory and Cancer Analysis Team, Public Health Wales, Cardiff, UK.
Tamsin LongObservatory and Cancer Analysis Team, Public Health Wales, Cardiff, UK.
Cathy ArnoldDATA-CAN, the UK's Health Data Research Hub for Cancer, London, UK.
Dyfed Wyn HuwsWelsh Cancer Intelligence and Surveillance Unit, Public Health Wales, Cardiff, UK.
Mark LawlerDATA-CAN, the UK's Health Data Research Hub for Cancer, London, UK.
Ronan A LyonsPopulation Data Science, Swansea University Medical School, Swansea, UK.
Swansea University · GBPublic Health Wales · GBHealth Data Research UK · GBSwansea Bay University Health Board · GB

Funding

Medical Research Council MR/V028367/1
6 · The paper itself

Abstract

purposePublic health measures instituted at the onset of the COVID-19 pandemic in the UK in 2020 had profound effects on the cancer patient pathway. We hypothesise that this may have affected analgesic prescriptions for cancer patients in primary care.

methodsA whole-nation retrospective, observational study of opioid and antineuropathic analgesics prescribed in primary care for two cohorts of cancer patients in Wales, using linked anonymised data to evaluate the impact of the pandemic and variation between different demographic backgrounds.

resultsWe found a significant increase in strong opioid prescriptions during the pandemic for patients within their first 12 months of diagnosis with a common cancer (incidence rate ratio (IRR) 1.15, 95% CI: 1.12-1.18, p < 0.001 for strong opioids) and significant increases in strong opioid and antineuropathic prescriptions for patients in the last 3 months prior to a cancer-related death (IRR = 1.06, 95% CI: 1.04-1.07, p < 0.001 for strong opioids; IRR = 1.11, 95% CI: 1.08-1.14, p < 0.001 for antineuropathics). A spike in opioid prescriptions for patients diagnosed in Q2 2020 and those who died in Q2 2020 was observed and interpreted as stockpiling. More analgesics were prescribed in more deprived quintiles. This differential was less pronounced in patients towards the end of life, which we attribute to closer professional supervision.

conclusionsWe demonstrate significant changes to community analgesic prescriptions for cancer patients related to the UK pandemic and illustrate prescription patterns linked to patients' demographic background.

Indexed as

COVID-19NeoplasmsAnalgesicsAnalgesics, OpioidDeathHumansPandemicsPrescriptionsRetrospective StudiesWalesAnalgesicsAnalgesics, OpioidAnalgesiaCancerCOVID-19 pandemicPainPrescriptionPrimary care

Identifiers

PMID37606853
PMCPMC10444652
OpenAlexW4386046908

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.