Evidence map›Paper›PMID 34095523›Full record

ArticleInternational journal of population data science2018

Challenges Associated with Cross-Jurisdictional Analyses using Administrative Health Data and Primary Care Electronic Medical Records in Canada.

Alan Katz, Jennifer Enns, Sabrina T Wong, Tyler Williamson, Alexander Singer, Kimberlyn McGrail, Jeffery A Bakal, Carole Taylor, Sandra Peterson

Abstract read
In one paragraph

Article in International journal of population data science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Synthetic health data in Canada: A scoping review of methods, applications, and data sources.Canadian journal of public health = Revue canadienne de sante publique · 2026
    Article
  3. Attitudes towards data access and sharing health data for research: a case study of Australian data custodian perspectives.Health information management : journal of the Health Information Management Association of Australia · 2026
    Article
  4. Article
  5. Article
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  8. Article
  9. Article
  10. Article
  11. Closing the loop: From system-based data to evidence-influenced policy and practice.International journal of population data science · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Exploring barriers and solutions in advancing cross-centre population data science.International journal of population data science · 2019
    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

9 authors.

Alan KatzManitoba Centre for Health Policy Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, Room 408-727 McDermot Ave. University of Manitoba, Winnipeg, MB R3E 3P5 Canada.
Jennifer EnnsManitoba Centre for Health Policy Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, Room 408-727 McDermot Ave. University of Manitoba, Winnipeg, MB R3E 3P5 Canada.
Sabrina T WongCentre for Health Services and Policy Research, School of Population and Public Health and School of Nursing, University of British Columbia, 2206 East Mall Vancouver, BC Canada V6T 1Z3.
Tyler WilliamsonDepartment of Community Health Sciences, Faculty of Medicine University of Calgary, TRW Building, 3rd Floor, 3280 Hospital Drive NW, Calgary, Alberta CANADA T2N 4Z6.
Alexander SingerManitoba Primary Care Research Network, Department of Family Medicine S100, 750 Bannatyne Avenue, University of Manitoba, Winnipeg, MB R33 0W2.
Kimberlyn McGrailCentre for Health Services and Policy Research, School of Population and Public Health and School of Nursing, University of British Columbia, 2206 East Mall Vancouver, BC Canada V6T 1Z3.
Jeffery A BakalHealth Research Methods and Analytics, Alberta Health Services, University of Alberta.
Carole TaylorManitoba Centre for Health Policy Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, Room 408-727 McDermot Ave. University of Manitoba, Winnipeg, MB R3E 3P5 Canada.
Sandra PetersonCentre for Health Services and Policy Research, School of Population and Public Health and School of Nursing, University of British Columbia, 2206 East Mall Vancouver, BC Canada V6T 1Z3.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last 30 years, public investments in Canada and many other countries have created clinical and administrative health data repositories to support research on health and social services, population health and health policy. However, there is limited capacity to share and use data across jurisdictional boundaries, in part because of inefficient and cumbersome procedures to access these data and gain approval for their use in research. A lack of harmonization among variables and indicators makes it difficult to compare research among jurisdictions. These challenges affect the quality, scope, and impact of work that could be done. The purpose of this paper is to compare and contrast the data access procedures in three Canadian jurisdictions (Manitoba, Alberta and British Columbia), and to describe how we addressed the challenges presented by differences in data governance and architecture in a Canadian cross-jurisdictional research study. We characterize common stages in gaining access to administrative data among jurisdictions, including obtaining ethics approval, applying for data access from data custodians, and ensuring the extracted data is released to accredited individuals in secure data environments. We identify advantages of Manitoba's flexible 'stewardship' model over the more restrictive 'custodianship' model in British Columbia, and highlight the importance of communication between analysts in each jurisdiction to compensate for differences in coding variables and poor quality data. Researchers and system planners must have access to and be able to make effective use of administrative health data to ensure that Canadians continue to have access to high-quality health care and benefit from effective health policies. The considerable benefits of collaborative population-based research that spans jurisdictional borders have been recognized by the Canadian Institutes for Health Research in their recent call for the creation of a National Data Platform to resolve many of the issues in harmonization and validation of administrative data elements.

Identifiers

PMID34095523
PMCPMC8142948

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.