Evidence map›Paper›PMID 22935136›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2013

Privacy by Design at Population Data BC: a case study describing the technical, administrative, and physical controls for privacy-sensitive secondary use of personal information for research in the public interest.

Caitlin Pencarrick Hertzman, Nancy Meagher, Kimberlyn M McGrail

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. A Position Statement on Population Data Science: The Science of Data about People.International journal of population data science · 2018
    Article
  8. Review
  9. Article
  10. Using Distributed Data over HBase in Big Data Analytics Platform for Clinical Services.Computational and mathematical methods in medicine · 2017
    Article
  11. Article
  12. Article
  13. Article
  14. Linking Canadian population health data: maximizing the potential of cohort and administrative data.Canadian journal of public health = Revue canadienne de sante publique · 2013
    Article
  15. Biomedical data privacy: problems, perspectives, and recent advances.Journal of the American Medical Informatics Association : JAMIA · 2013
    Article
  16. Article
  17. Article
  18. Privacy preserving interactive record linkage (PPIRL).Journal of the American Medical Informatics Association : JAMIA
    Review
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

3 authors.

Caitlin Pencarrick HertzmanPopulation Data BC, School of Population and Public Health, University of British Columbia, Vancouver, Canada. caitlin.hertzman@popdata.bc.ca
Nancy Meagher
Kimberlyn M McGrail

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population Data BC (PopData) is an innovative leader in facilitating access to linked data for population health research. Researchers from academic institutions across Canada work with PopData to submit data access requests for projects involving linked administrative data, with or without their own researcher-collected data. PopData and its predecessor-the British Columbia Linked Health Database-have facilitated over 350 research projects analyzing a broad spectrum of population health issues. PopData embeds privacy in every aspect of its operations. This case study focuses on how implementing the Privacy by Design model protects privacy while supporting access to individual-level data for research in the public interest. It explores challenges presented by legislation, stewardship, and public perception and demonstrates how PopData achieves both operational efficiencies and due diligence.

Indexed as

Biomedical ResearchConfidentialityInformation DisseminationBritish ColumbiaCanadaElectronic Health RecordsHumansOrganizational Case Studies

Identifiers

PMID22935136
PMCPMC3555322

What OpenQuestion holds

Textmetadata
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.