Evidence map›Paper›PMID 40887131›Full record

ArticleBMJ open2025

Canadian perinatal opioid project: a protocol for a national health data system.

Andi Camden, Hilary K Brown, Tara Gomes, Jennifer A Hutcheon, Lauren E Kelly, Hong Lu, Alexandra Lucchese, Amy Metcalfe, Nazeem Muhajarine, Nathan C Nickel and 2 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Andi CamdenEdwin SH Leong Centre for Healthy Children, The Hospital for Sick Children, Toronto, Ontario, Canada andi.camden@sickkids.ca.ORCID http://orcid.org/0000-0001-9336-8856
Hilary K BrownICES, Toronto, Ontario, Canada.
Tara GomesICES, Toronto, Ontario, Canada.
Jennifer A HutcheonHealthy Starts, British Columbia Children's Hospital Research Institute, Vancouver, British Columbia, Canada.
Lauren E KellyDepartment of Pharmacology and Therapeutics, University of Manitoba, Winnipeg, Manitoba, Canada.
Hong LuICES, Toronto, Ontario, Canada.
Alexandra LuccheseEdwin SH Leong Centre for Healthy Children, The Hospital for Sick Children, Toronto, Ontario, Canada.
Amy MetcalfeObstetrics and Gynecology, University of Calgary, Calgary, Alberta, Canada.
Nazeem MuhajarineDepartment of Community Health and Epidemiology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.ORCID http://orcid.org/0000-0001-6781-5421
Nathan C NickelDepartment of Community Health Sciences, Max Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.
Isobel SharpeICES, Toronto, Ontario, Canada.
Astrid GuttmannEdwin SH Leong Centre for Healthy Children, The Hospital for Sick Children, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-8177-2253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOpioids are widely used during pregnancy and can lead to health complications for pregnant people, parents and their children. Yet, little is known about the long- and short-term effects of perinatal opioid exposures on health outcomes in Canada. Evidence is needed to inform optimal support for maternal and child health following perinatal opioid exposures.

aimWe aim to develop the Canadian Perinatal Opioid Project, a pan-Canadian federated health data system to capture perinatal opioid exposures across multiple provinces, along with subsequent maternal and child health outcomes. METHODS AND ANALYSIS: This health data system uses population-based administrative health records from Alberta, British Columbia, Manitoba, Ontario and Saskatchewan, each with two population-based cohorts: (1) all pregnancies among people aged 12-49 years, 2013-2023 and (2) liveborn infants from these pregnancies. Pregnant people will be followed for 1 year after the end of pregnancy; live births will be followed for 8 years. Data will be obtained from outpatient prescription opioid records, mother-infant linked hospitalisation records, emergency department visits, outpatient physician visits, birth registries and vital statistics. This work is being conducted in collaboration with Indigenous and non-Indigenous people with lived/living experience of perinatal opioid use and knowledge users. ANALYSIS: We will use descriptive statistics to describe incidence and cohort characteristics and Poisson regression to assess annual trends. Patient-level analysis will occur in each province, and province-level aggregated results will be meta-analysed. ETHICS AND DISSEMINATION: Ethics approval was granted by research ethics boards at the University of British Columbia (H24-03406), University of Calgary (REB24-1721), University of Manitoba (HS26640), University of Toronto (46764) and University of Saskatchewan (5348). We will develop knowledge dissemination plans and products with people with lived/living experience of perinatal opioid use and knowledge users. Health data indicators will be featured in an open-access online dashboard. We expect to share methods and research findings through peer-reviewed publications in high-impact journals, presentations at national and international conferences, presentations to community members and knowledge users, and research summaries for the general population.

Indexed as

Analgesics, OpioidOpioid-Related DisordersPregnancy ComplicationsAdolescentAdultCanadaChildFemaleHumansInfant, NewbornMiddle AgedPregnancyResearch DesignYoung AdultAnalgesics, OpioidCommunity child healthEPIDEMIOLOGYOBSTETRICSPostpartum PeriodPrescriptionsPUBLIC HEALTH

Identifiers

PMID40887131
PMCPMC12410675

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.