Health Services Data, Sources and Examples: The Institute for Clinical Evaluative Sciences Data Repository

  • Karey IronEmail author
  • Kathy Sykora
Reference work entry
Part of the Health Services Research book series (HEALTHSR)


Under the 1982 Canada Health Act, health services deemed essential for all residents are universally paid for by the provinces. Canadian provinces, and others around the world, routinely collect data that allow them to administer health services provided to their populations. Generally, this spectrum of health administrative data includes information about people and their use of the health system, such as physicians’ billing claims, hospital discharges, emergency and ambulatory care, home care, complex continuing and long-term care, and claims for prescription drugs, for example. When linked to each other, these highly comprehensive data may be used to answer health system and research questions such as: Are those who require care getting the care they need? Is the care provided timely and based on evidence? What organizational aspects of the healthcare system could improve care? This chapter describes the uses of health administrative data for research, its benefits and limitations compared to traditional research data, the concept of linking datasets for health services research, emerging data quality scientific methods, and the caveats in interpreting administrative data. Issues of data governance and privacy, data documentation, and quality assessment are presented. These concepts will be illustrated through the example of the data held in the Institute for Clinical Evaluative Sciences (ICES) Data Repository in Ontario.


  1. ACM. IBM dictionary of computing, 10th edn; 1993.
  2. Arts D, de Keizer NF, Scheffer GJ. Defining and improving data quality in medical registries: a literature review, case study, and generic framework. J Am Med Inform Assoc 2002;9:600–11. Accessed 17 June 2014.CrossRefGoogle Scholar
  3. Azimaee M, Smith M, Lix L, Ostapyk T, Burchill C, Hong SP. MCHP data quality framework. Winnipeg: Manitoba Centre for Health Policy, University of Manitoba; 2013.
  4. Canadian Institute for Health Information. The CIHI data quality framework, 2009. Ottawa: CIHI; 2009.
  5. Chamberlayne R, Green B, Barer ML, Hertzman C, Lawrence WJ, Sheps SB. Creating a population-based linked health database: a new resource for health services research. Can J Public Health. 1998;89(4):270–3.PubMedGoogle Scholar
  6. Dunn HL. Record Linkage. Am J Public Health Nation Health. 1946;36:1412.CrossRefGoogle Scholar
  7. Friedman D, Hunter E, Parrish II G. Defining health statistics and their scope. In: Friedman DJ, Hunter EL, Gibson Parrish II R, editors. Health statistics: shaping policy and practice to improve the population’s health. New York: Oxford University Press; 2005. p. 16.CrossRefGoogle Scholar
  8. Holt T, Jones T. Quality work and conflicting quality objectives. In: Quality work and quality assurance within statistics. Eurostat Proceedings; 1999. p. 15–24. Accessed 17 June 2014.
  9. ICES. website
  10. Iron K, Manuel DG. Quality assessment of administrative data (QuAAD): an opportunity for enhancing Ontario’s health data. ICES investigative report. Toronto: Institute for Clinical Evaluative Sciences; 2007.Google Scholar
  11. Lix LM, Neufeld SM, Smith M, Levy A, Dai S, Sanmartin C, Quan H. Quality of administrative data in Canada: a discussion paper 2012. Background for science of data quality invitational workshop. Ottawa; 2012.
  12. Personal Health Information Protection Act (PHIPA). 2004.
  13. Roos LL, Sharp SM, Wajda A. Assessing data quality: a computerized approach. Soc Sci Med. 1989;28(2):175–82.CrossRefGoogle Scholar
  14. Roos LL, Gupta S, Soodeen RA, Jebami L. Data quality in a data rich environment: Canada as an example. Can J Aging. 2005;24 Suppl 1:153–70.CrossRefGoogle Scholar

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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.College of Physicians and Surgeons of OntarioTorontoCanada
  2. 2.TorontoCanada

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