Evidence map›Paper›PMID 41628399›Full record

ArticleHealthcare management forum2026

Standardizing Health Workforce Data in Canada: Legal and Regulatory Levers for Harmonized Collection and Sharing.

Alexandra Lyn, Kathleen Leslie, Arthur Sweetman, Geetanjali Sharma, Sarah Lazin, Gwenneth Feeny, Ivy Lynn Bourgeault

Abstract read
In one paragraph

Article in Healthcare management forum, 2026. 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
–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

1 citing paper in PubMed.

  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

7 authors.

Alexandra LynSchool of Business, MacEwan University, Edmonton, Alberta, Canada.ORCID 0000-0001-7377-8380
Kathleen LeslieFaculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada.ORCID 0000-0003-0581-126X
Arthur SweetmanDepartment of Economics, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0001-8726-7557
Geetanjali SharmaFaculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada.ORCID 0000-0003-3743-5545
Sarah LazinFaculty of Law, University of Ottawa, Ottawa, Ontario, Canada.
Gwenneth FeenyMcMaster University, Hamilton, Ontario, Canada.ORCID 0000-0001-9448-5894
Ivy Lynn BourgeaultSchool of Sociological and Anthropological Studies, University of Ottawa, Ottawa, Ontario, Canada.ORCID 0000-0002-5113-9243

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a growing awareness of the benefits of comprehensive, standardized, and accessible data on the health workforce to support more timely and robust planning. We found that provincial regulation and data privacy legislation could be better aligned to strengthen the infrastructure for high-quality health workforce planning data. This article identifies existing legal and regulatory mechanisms that enable the collection and sharing of more standardized health workforce data. We propose a framework that enables the collection and sharing of standardized data by scaling up existing leading practices in certain provinces into a more cohesive approach. Key facilitators include umbrella legislation, privacy frameworks that contemplate data use for workforce planning, efforts to collect anti-discrimination data, and secure data access infrastructure. Together, these facilitators support a viable foundation for improved health workforce data standardization and utilization for planning to improve healthcare delivery across Canada in the existing legal context.

Indexed as

Data CollectionHealth WorkforceInformation DisseminationCanadaHumans

Identifiers

PMID41628399
PMCPMC13039225

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.