Evidence map›Paper›PMID 38419823›Full record

ArticleInternational journal of population data science2023

Health data governance for research use in Alberta.

Namneet Sandhu, Sarah Whittle, Danielle A Southern, Bing Li, Erik Youngson, Jeffrey A Bakal, Christie Mcleod, Lexi Hilderman, Tyler S Williamson, Ken Cheligeer and 4 more

Abstract read
In one paragraph

Article in International journal of population data science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

14 authors.

Namneet SandhuCentre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Sarah WhittleCentre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Danielle A SouthernCentre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Bing LiAlberta Health Services, Edmonton, Alberta, Canada.
Erik YoungsonAlberta Health Services, Edmonton, Alberta, Canada.
Jeffrey A BakalAlberta Health Services, Edmonton, Alberta, Canada.
Christie McleodAlberta Health Services, Edmonton, Alberta, Canada.
Lexi HildermanCentre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Tyler S WilliamsonCentre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Ken CheligeerCentre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Robin L WalkerAlberta Health Services, Edmonton, Alberta, Canada.
Padma KaulUniversity of Alberta, Alberta, Canada.
Hude QuanCentre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Cathy A EastwoodCentre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alberta has rich clinical and health services data held under the custodianship of Alberta Health and Alberta Health Services (AHS), which is not only used for clinical and administrative purposes but also disease surveillance and epidemiological research. Alberta is the largest province in Canada with a single payer centralised health system, AHS, and a consolidated data and analytics team supporting researchers across the province. This paper describes Alberta's data custodians, data governance mechanisms, and streamlined processes followed for research data access. AHS has created a centralised data repository from multiple sources, including practitioner claims data, hospital discharge data, and medications dispensed, available for research use through the provincial Data and Research Services (DRS) team. The DRS team is integrated within AHS to support researchers across the province with their data extraction and linkage requests. Furthermore, streamlined processes have been established, including: 1) ethics approval from a research ethics board, 2) any necessary operational approvals from AHS, and 3) a tripartite legal agreement dictating terms and conditions for data use, disclosure, and retention. This allows researchers to gain timely access to data. To meet the evolving and ever-expanding big-data needs, the University of Calgary, in partnership with AHS, has built high-performance computing (HPC) infrastructure to facilitate storage and processing of large datasets. When releasing data to researchers, the analytics team ensures that Alberta's Health Information Act's guiding principles are followed. The principal investigator also ensures data retention and disposition are according to the plan specified in ethics and per the terms set out by funding agencies. Even though there are disparities and variations in the data protection laws across the different provinces in Canada, the streamlined processes for research data access in Alberta are highly efficient.

Indexed as

Health ServicesAlbertadata governanceprovincial and national legislativesresearch data access

Identifiers

PMID38419823
PMCPMC10900074

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.