Evidence map›Paper›PMID 39650083›Full record

ArticleCanadian journal of kidney health and disease2024

Randomized Trials Using Provincial Health Numbers for Group Assignment.

Amit X Garg, Stephanie N Dixon, Charlotte Ma, Erika Basile, Bin Luo, Magda Nunes De Melo, Amber O Molnar, Naveen Poonai, Michael J Schull, Samuel A Silver and 3 more

Abstract read
In one paragraph

Article in Canadian journal of kidney health and disease, 2024. 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

13 authors.

Amit X GargICES, Toronto, ON, Canada.ORCID https://orcid.org/0000-0003-3398-3114
Stephanie N DixonICES, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-7566-6574
Charlotte MaICES, Toronto, ON, Canada.
Erika BasileHuman Research Ethics, Western University, London, ON, Canada.
Bin LuoICES, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-0608-9793
Magda Nunes De MeloICES, Toronto, ON, Canada.
Amber O MolnarICES, Toronto, ON, Canada.ORCID https://orcid.org/0000-0003-4549-0202
Naveen PoonaiDivision of Paediatric Emergency Medicine, Department of Paediatrics, Western University, London, ON, Canada.
Michael J SchullICES, Toronto, ON, Canada.
Samuel A SilverICES, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-1843-6131
Jessica M SontropICES, Toronto, ON, Canada.ORCID https://orcid.org/0000-0001-7784-2028
Merrick ZwarensteinICES, Toronto, ON, Canada.
Pavel RoshanovLawson Health Research Institute and London Health Sciences Research Inc., London, ON, Canada.ORCID https://orcid.org/0000-0003-3908-1955

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Using data from Ontario, Canada, this report shows how provincial government-assigned health card numbers can be used for individual-level randomization in large pragmatic trials. We describe how health card numbers are assigned and analyze the distribution of health card digits in a trial setting. We then provide an example of how they can be used for randomization and discuss the methodological and practical considerations of the approach. Key Findings: In Ontario, Canada, health card numbers are randomly generated and assigned without regard to the applicant's characteristics. The number is a 10-digit string connected with hyphens followed by a version code (ie, 1234-567-890-XX). The number is unique to each individual and assigned for life. Before assignment, some numbers within the 10 digits are altered using proprietary business rules. We demonstrate how to use certain digits for individual-level randomization and provide an example of how we will use the tenth digit for randomization in a large new trial of different dialysate bicarbonate concentrations. While this approach has many practical and methodological advantages, it does not allow for stratification. Before using this approach, teams should consider if it will affect the integrity of the randomization and the trial, which will be influenced by the setting and the type of intervention tested. Implications: Using provincial government-assigned health card numbers for pragmatic randomized trials appears viable, but the merits must be carefully considered on a trial-by-trial basis. The approach can streamline and reduce the cost of conducting such trials.

Indexed as

administrative health care datadialysisOntario health cardpragmatic trialsrandomizationrandomized clinical trials

Identifiers

PMID39650083
PMCPMC11624533

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.