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Data Quality in an Information-Rich Environment: Canada as an Example

Published online by Cambridge University Press:  31 March 2010

Leslie L. Roos ,
Sumit Gupta ,
Ruth-Ann Soodeen  and
Laurel Jebamani
Leslie L. Roos*
Affiliation:
Department of Community Health Sciences, University of Manitoba
Sumit Gupta
Affiliation:
Faculty of Medicine, University of Toronto
Ruth-Ann Soodeen
Affiliation:
Department of Community Health Sciences, University of Manitoba
Laurel Jebamani
Affiliation:
Department of Community Health Sciences, University of Manitoba
*
Requests for offprints should be sent to: / Les demandes de tirés-à-part doivent être addressées à : Leslie L. Roos, Ph.D., Manitoba Centre for Health Policy, Department of Community Health Sciences, Faculty of Medicine, University of Manitoba, 4th Floor Brodie Centre, Room 408, 727 McDermot Avenue, Winnipeg, MB R3E 3P5. (Leslie_Roos@cpe.umanitoba.ca)
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Abstract

This review evaluates the quality of available administrative data in the Canadian provinces, emphasizing the information needed to create integrated systems. We explicitly compare approaches to quality measurement, indicating where record linkage can and cannot substitute for more expensive record re-abstraction. Forty-nine original studies evaluating Canadian administrative data (registries, hospital abstracts, physician claims, and prescription drugs) are summarized in a structured manner. Registries, hospital abstracts, and physician files appear to be generally of satisfactory quality, though much work remains to be done. Data quality did not vary systematically among provinces. Primary data collection to check place of residence and longitudinal follow-up in provincial registries is needed. Promising initial checks of pharmaceutical data should be expanded. Because record linkage studies were “conservative” in reporting reliability, the reduction of time-consuming record re-abstraction appears feasible in many cases. Finally, expanding the scope of administrative data to study health, as well as health care, seems possible for some chronic conditions. The research potential of the information-rich environments being created highlights the importance of data quality.

Résumé

Cette étude vise à évaluer la qualité des données administratives disponibles dans les provinces canadiennes, tout en mettant l'accent sur les renseignements nécessaires pour créer des systèmes intégrés. Nous comparons explicitement diverses approches en matière de mesure de la qualité, en indiquant dans quel cas le couplage des dossiers peut ou non se substituer à la méthode plus onéreuse de la seconde saisie des dossiers. Quarante-neuf études originales visant à évaluer les données administratives canadiennes (registres, résumés d'hospitalisation, demandes des médecins et médicaments sur ordonnance) sont résumées de manière structurée. Les registres, les résumés d'hospitalisation et les dossiers des médecins semblent généralement de qualité satisfaisante, bien qu'il reste beaucoup de travail à accomplir. La qualité des données n'a pas fait l'objet de variations systématiques entre les provinces. Des données primaires doivent être recueillies afin de vérifier les lieux de résidence et effectuer un suivi longitudinal dans les registres provinciaux. Les vérifications initiales des données pharmaceutiques se sont révélées prometteuses et doivent être poursuivies. É tant donné que les études fondées sur le couplage des dossiers étaient «prudentes» dans leurs conclusions en matière de fiabilité, la réduction du nombre de secondes saisies qui prennent beaucoup de temps semblerait faisable dans bien des cas. Enfin, il pourrait être possible d'étendre la portée des données administratives de manière à étudier l'état de santé, ainsi que les soins de santé pour certaines conditions chroniques. Le potentiel de recherche des milieux riches en informations qui sont en train d'être créés permet de souligner l'importance de la qualité des données.

Keywords

data qualityadministrative datahealth care utilisationregistryhospital abstractsphysician claimsagingqualité des donnéesdonnées administrativesutilisation des soins de santéregistrerésumés d'hospitalisationdemandes des médecinsvieillissement
Type
Articles
Information
Canadian Journal on Aging / La Revue canadienne du vieillissement , Volume 24 , Issue S1: Health and Health Care Use Among Older Adults: Using Population-Based Information Systems to Inform Policy in Manitoba , Spring/Printemps 2005 , pp. 153 - 170
Copyright
Copyright © Canadian Association on Gerontology 2005

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References

Acheson, E.D. (1967). Medical record linkage. London: Oxford University Press.Google Scholar
Anderson, G., & Kerluke, K. (1996). Distribution of prescription drug exposures in the elderly: Description and implications. Journal of Clinical Epidemiology, 49, 929–935.CrossRefGoogle ScholarPubMed
Anderson, G.M., Kerluke, K.J., Pulcins, I.R., Hertzman, C., & Barer, M.L. (1993). Trends and determinants of prescription drug expenditures in the elderly: Data from the British Columbia Pharmacare Program. Inquiry, 30, 199–207.Google ScholarPubMed
Armstrong, B.K., & Kricker, A. (1999). Record linkage: A vision renewed. Australian New Zealand Journal of Public Health, 23, 451–452.CrossRefGoogle ScholarPubMed
Austin, P.C., Daly, P.A., & Tu, J.V. (2002). A multicenter study of the coding accuracy of hospital discharge administrative data for patients admitted to cardiac care units in Ontario. American Heart Journal, 144, 290–296.CrossRefGoogle ScholarPubMed
Berkman, L.F., & Kawachi, I. (Eds.). (2000). Social epidemiology. New York: Oxford University Press.CrossRefGoogle Scholar
Bernstein, C.N., Blanchard, J.F., Rawsthorne, P., & Wajda, A. (1999). Epidemiology of Crohn's disease and ulcerative colitis in a central Canadian province: A population-based study. American Journal of Epidemiology, 149, 916–924.CrossRefGoogle Scholar
Blanchard, J.F., Ludwig, S., Wajda, A., Dean, H., Anderson, K., Kendall, O., & Depew, N. (1996). Incidence and prevalence of diabetes in Manitoba, 1986–1991. Diabetes Care, 19, 807–811.CrossRefGoogle ScholarPubMed
Blanchard, J.F., Dean, H., Anderson, K., Wajda, A., Ludwig, S., & Depew, N. (1997). Incidence and prevalence of diabetes mellitus in children 0–14 years in Manitoba, Canada 1985–1993. Diabetes Care, 20, 512–515.CrossRefGoogle ScholarPubMed
Bryan, H., & Brasher, P. (1995). Breast implants and breast cancer: Re-analysis of a linkage study. New England Journal of Medicine, 332, 1535–1539.CrossRefGoogle Scholar
Brown, K. (2000). The human genome business today. Scientific American, 283, 50–55.CrossRefGoogle ScholarPubMed
Brownell, M., & Yogendran, M. (2001). Attention-deficit hyperactivity disorder in Manitoba children: Medical diagnosis and psychostimulant treatment rates. Canadian Journal of Psychiatry, 46, 264–272.CrossRefGoogle ScholarPubMed
Canadian Health Services Research Foundation. (2003). User fees would stop waste and ensure better use of the health care system. Journal of Health Services Research Policy, 8, 105–107.Google Scholar
Canadian Institute for Health Information. (2000). Health care in Canada 2000: A first annual report. Ottawa: Author.Google Scholar
Chamberlayne, R., Green, B., Barer, M.L., Hertzman, C., Lawrence, W.J., & Sheps, S.B. (1998). Creating a population-based linked health database: A new resource for health services research. Canadian Journal of Public Health, 89, 270–273.CrossRefGoogle ScholarPubMed
Cohen, M.M. (1993). Using administrative data for case-control studies: The case of the Papanicolaou smear. Annals of Epidemiology, 3, 93–98.CrossRefGoogle ScholarPubMed
Cohen, M.M., Kaufert, P.A., MacWilliam, L., & Tate, R.B. (1996). Using an alternative data source to examine randomization in the Canadian National Breast Screening Study. Journal of Clinical Epidemiology, 49, 1039–1044.CrossRefGoogle ScholarPubMed
Cox, J.L., Melady, M.P., Chen, E., & Naylor, C.D. (1997). Towards improved coding of acute myocardial infarction in hospital discharge abstracts: A pilot project. Canadian Journal of Cardiology, 13, 351–358.Google ScholarPubMed
Davidoff, F. (2000). Suppose there were no printers. Annals of Internal Medicine, 133, 57–58.CrossRefGoogle ScholarPubMed
Davidson, W., Molloy, W., Somers, G., & Bedard, M. (1994). Relation between physician characteristics and prescribing for elderly people in New Brunswick. Canadian Medical Association Journal, 150, 917–921.Google ScholarPubMed
Delfino, R J., Backlake, M.R., & Hanley, J.A. (1993). Reliability of hospital data for population-based studies of air pollution. Archives of Environmental Health, 48, 140–146.CrossRefGoogle ScholarPubMed
Dimich-Ward, H., Hertzman, C., Teschke, K., Hershler, R., Marion, S.A., Ostry, A., & Kelly, S. (1996). Reproductive effects of paternal exposure to chlorophenate wood preservatives in the sawmill industry. Scandinavian Journal of Work Environment and Health, 22, 267–273.CrossRefGoogle ScholarPubMed
Edouard, L., & Rawson, N.S.B. (1996). Reliability of the recording of hysterectomy in the Saskatchewan health care system. British Journal of Obstetrics and Gynaecology, 103, 891–897.CrossRefGoogle ScholarPubMed
Fellegi, I.P., & Sunter, A.B. (1969). A theory for record linkage. Journal of the American Statistical Association, (328), 1183–1210.CrossRefGoogle Scholar
Ghali, W.A., Rothwell, D.M., Quan, H., Brant, R., Tu, J.V., & Steering Committee of the Cardiac Care Network of Ontario. (2000). A Canadian comparison of data sources for coronary artery bypass surgery outcome “report cards.” American Heart Journal, 140, 402–408.CrossRefGoogle ScholarPubMed
Ghali, W.A., Quan, H., & Brant, R. (2002). Risk adjustment using administrative data: Impact of a diagnosis-type indicator. Journal of General Internal Medicine, 16, 519–524.CrossRefGoogle Scholar
Hatcher, J., & Hervas, M. (2001). Emigration patterns of cancer cases in Alberta, Canada. Chronic Diseases in Canada, 22, 12–17.Google ScholarPubMed
Hawaleshka, D. (2002). The Maclean's Health Report: Measuring health care: North and West Vancouver, Edmonton, Victoria, Kelowna, B.C.—Western centres top the list, Maclean's, June 17, 23–31.Google Scholar
Hawker, G.A., Coyte, P.C., Wright, J.G., Paul, J.E., & Bombardier, C. (1997). Accuracy of administrative data for assessing outcomes after knee replacement surgery. Journal of Clinical Epidemiology, 50, 265–273.CrossRefGoogle ScholarPubMed
Hertzman, C., Teschke, K., Ostry, A., Hershler, R., Dimich-Ward, H., Kelly, S., Spinelli, J.J., Gallagher, R.P., McBride, M., & Marian, S.A. (1997). Mortality and cancer incidence among sawmill workers exposed to chlorophenate wood preservatives. American Journal of Public Health, 87, 71–79.CrossRefGoogle ScholarPubMed
Holman, C.D.J., Bass, A.J., Rouse, I.L., & Hobbs, M.S.T. (1999). Population-based linkage of health records in Western Australia: Development of the health services research linked database. Australian New Zealand Journal of Public Health, 23, 453–459.CrossRefGoogle ScholarPubMed
Houle, C., Berthelot, J.-M., David, P., Wolfson, M.C., Mustard, C.A., & Roos, L.L. (1999). Matching census database and Manitoba health care files. In Record linkage techniques – 1997: Proceedings of an international workshop and exposition. Washington, D.C.: National Academy Press, 305–318.Google Scholar
Howe, G.R. (1998). Use of computerized record linkage in cohort studies. Epidemiologic Reviews, 20, 112–121.CrossRefGoogle ScholarPubMed
Humphries, K.H., Rankin, J.M., Carere, R.G., Buller, C.E., Kiely, F.M., & Spinelli, J.J. (2000). Co-morbidity data in outcomes research: Are clinical data derived from administrative databases a reliable alternative to chart review? Journal of Clinical Epidemiology, 53, 343–349.CrossRefGoogle ScholarPubMed
Huzel, L., Roos, L.L., Anthonisen, N.R., & Manfreda, J. (2003). Diagnosing asthma: The fit between survey and administrative database. Canadian Respiratory Journal, 9, 407–412.CrossRefGoogle Scholar
Iron, K., Goel, V., & Williams, J.I. (1995). Concordance of hospital discharge abstracts and physician claims for surgical procedures in Ontario. (ICES working paper series #42.) North York: Institute for Clinical Evaluative Sciences in Ontario.Google Scholar
Jacobs, P., Blanchard, J.F., James, R., & Depew, N. (2001). Excess costs of diabetes in the aboriginal population of Manitoba, Canada. Canadian Journal of Public Health, 91, 298–301.CrossRefGoogle Scholar
Jacobs, P., & Roos, N.P. (1999). Standard cost lists for health care in Canada: Issues in validity and interprovincial consolidation. Pharmacoeconomics, 15, 551–560.CrossRefGoogle Scholar
Kohler, R.E. (1994). Lords of the fly. Chicago: University of Chicago Press.Google Scholar
Koran, L.M. (1975). The reliability of clinical methods, data and judgements (Part 1). New England Journal of Medicine, 293, 642–646.CrossRefGoogle Scholar
Kozyrskyj, A., & Hildes-Ripstein, G.E. (2002). Assessing health status in Manitoba children: Acute and chronic conditions. Canadian Journal of Public Health, 93, S63–S69.CrossRefGoogle ScholarPubMed
Kozyrskyj, A., & Mustard, C.A. (1998). Validation of an electronic, population-based prescription database. Annals of Pharmacotherapy, 32, 1152–1157.CrossRefGoogle ScholarPubMed
Kozyrskyj, A., Mustard, C.A., Cheang, M.S., & Simons, F.E.R. (2001). Income-based drug benefit policy: Impact on receipt of inhaled corticosteroid prescriptions by Manitoba children with asthma. Canadian Medical Association Journal, 165, 897–902.Google ScholarPubMed
Levy, A.R., Tamblyn, R., Fitchett, D., McLeod, P.J., & Hanley, J.A. (1999). Coding accuracy of hospital discharge data for elderly survivors of myocardial infarction. Canadian Journal of Cardiology, 15, 1277–1282.Google ScholarPubMed
Malenka, D.J., McLerran, D.F., Roos, N.P., Fisher, E.S., & Wennberg, J.E. (1994). Using administrative data to describe casemix: A comparison with the medical record. Journal of Clinical Epidemiology, 47, 1027–1032.CrossRefGoogle ScholarPubMed
Manitoba Health. (2002). Manitoba's health indicators report. Winnipeg: Author.Google Scholar
Miller, E., Blatman, B., & Einarson, T.R. (1996). A survey of population-based drug databases in Canada. Canadian Medical Association Journal, 154, 1855–1864.Google ScholarPubMed
Muhajarine, N., Mustard, C.A., Roos, L.L., Young, T.K., & Gelskey, D.E. (1997). Comparison of survey data and physician claims data for detecting hypertension. Journal of Clinical Epidemiology, 50, 711–718.CrossRefGoogle ScholarPubMed
Mustard, C.A., Harman, C.R., Hall, P.F., & Derksen, S. (1995). Impact of a nurses' strike on the cesarean birth rate. American Journal of Obstetrics and Gynecology, 172, 631–637.CrossRefGoogle ScholarPubMed
Naylor, C.D. (1999). Health care in Canada: Incrementalism under fiscal duress. Health Affairs (Millwood), 18, 9–26.CrossRefGoogle ScholarPubMed
Naylor, C.D., & Slaughter, P.M. (Eds.). (1999). Cardiovascular health & services in Ontario: An ICES atlas. Toronto: Institute for Clinical Evaluative Sciences.Google Scholar
Newcombe, H.B. (1988). Handbook of record linkage. New York: Oxford University Press.Google Scholar
Pinfold, S.P., Goel, V., & Sawka, C. (2000). Quality of hospital discharge and physician data for types of breast cancer surgery. Medical Care, 38, 99–107.CrossRefGoogle Scholar
Potvin, L., & Champagne, F. (1986). Utilization of administrative data files in health research. Social Indicators Research, 18, 409–423.CrossRefGoogle Scholar
Quan, H., Parsons, G.A., & Ghali, W.A. (2002). Validity of information on comorbidity derived from ICD-9-CCM administrative data. Medical Care, 40, 675–685.CrossRefGoogle ScholarPubMed
Rankin, J.M., Spinelli, J.J., Carere, R.G., Ricci, D.R., Penn, I.M., Hilton, J.D., Henderson, M.A., Hayden, R.I., & Buller, C.E. (1999). Improved clinical outcome after widespread use of coronary-artery stenting in Canada. New England Journal of Medicine, 341, 1957–1965.CrossRefGoogle ScholarPubMed
Rawson, N.S.B., & D'Arcy, C. (1998). Assessing the validity of diagnostic information in administrative health care utilization data: Experience in Saskatchewan. Pharmacoepidemiology & Drug Safety, 7, 389–398.3.0.CO;2-S>CrossRefGoogle ScholarPubMed
Rawson, N.S.B., & Malcolm, E. (1995a). Validity of the recording of cholecystectomy and hysterectomy in the Saskatchewan health care datafiles. (Technical report series report #3). Saskatoon: Pharmacoepidemiology Research Unit.Google Scholar
Rawson, N.S.B., & Malcolm, E. (1995b). Validity of the recording of ischaemic heart disease and chronic obstructive pulmonary disease in the Saskatchewan health care datafiles. Statistics in Medicine, 14, 2627–2643.CrossRefGoogle ScholarPubMed
Rawson, N.S.B., Malcolm, E., & D'Arcy, C. (1997). Reliability of the recording of schizophrenia and depressive disorder in the Saskatchewan health care datafiles. Social Psychiatry and Psychiatric Epidemiology, 32, 191–199.CrossRefGoogle ScholarPubMed
Reid, R.J., MacWilliam, L., Verhulst, L., Roos, N.P., & Atkinson, M. (2001). Performance of the ACG Case-Mix System in two Canadian provinces. Medical Care, 39, 86–99.CrossRefGoogle ScholarPubMed
Reid, R.J., Roos, N.P., MacWilliam, L., Frohlich, N., & Black, C. (2002). Assessing population health care need using a claims-based ACG morbidity measure: A validation analysis in the province of Manitoba. Health Services Research, 37, 1345–1364.CrossRefGoogle Scholar
Richards, J., Brown, A., & Homan, C. (2001). The data quality study of the Canadian discharge abstract database. Proceedings of the Statistics Canada's 2001 Symposium October 16–19, “Achieving Data Quality in a Statistical Agency: A Methodological Perspective.” Ottawa: Statistics Canada.Google Scholar
Risch, H.A., & Howe, G.R. (1994). Menopausal hormone usage and breast cancer in Saskatchewan: A record-linkage cohort study. American Journal of Epidemiology, 139, 670–683.CrossRefGoogle ScholarPubMed
Roberts, J.D., Poffenroth, L.A., Roos, L.L., Bebchuk, J.D., & Carter, A.O. (1994). Monitoring childhood immunizations: A Canadian approach. American Journal of Public Health, 84, 1666–1668.CrossRefGoogle ScholarPubMed
Roberts, J.D., Fransoo, R., Black, C., Roos, L.L., & Martens, P. (2002). Research meets reality: Administrative data to guide planning for Canadian Regional Health Authorities. Healthcare Management Forum, 15, 13–21.CrossRefGoogle Scholar
Robinson, J.R., & Tataryn, D.J. (1997). Reliability of the Manitoba Mental Health Management Information System for Research. Canadian Journal of Psychiatry, 42, 744–749.CrossRefGoogle ScholarPubMed
Robinson, J.R., Young, T.K., Roos, L.L., & Gelskey, D.E. (1997). Estimating the burden of disease: Comparing administrative data and self-reports. Medical Care, 35, 932–947.CrossRefGoogle ScholarPubMed
Roos, L.L., Magoon, J., Gupta, S., Chateau, D., & Veugelers, P.J. (2004). Socioeconomic determinants of mortality in two Canadian provinces: Multilevel modelling and neighborhood context. Social Science and Medicine, (7), 1435–1447.CrossRefGoogle Scholar
Roos, L.L., Menec, V., & Currie, R.J. (2004). Policy analysis in an information-rich environment. Social Science and Medicine, (11), 2231–2241.CrossRefGoogle Scholar
Roos, L.L., Nicol, J.P. & Wajda, A. (1985). Improving the quality of data banks through linkage. Chronic Diseases in Canada, 5, 81–82.Google Scholar
Roos, L.L., & Nicol, J.P. (1999). A research registry: Uses, development, and accuracy. Journal of Clinical Epidemiology, 52, 39–47.CrossRefGoogle Scholar
Roos, L.L., Nicol, J.P., Johnson, C., & Roos, N.P. (1979). Using administrative data banks for research and evaluation: A case study. Evaluation Quarterly, 3, 236–255.CrossRefGoogle Scholar
Roos, L.L., Roos, N.P., Cageorge, S.M., & Nicol, J.P. (1982). How good are the data? Reliability of one health care data bank. Medical Care, 20, 266–276.CrossRefGoogle ScholarPubMed
Roos, L.L., Sharp, S.M., & Cohen, M.M. (1991). Comparing clinical information with claims data: Some similarities and differences. Journal of Clinical Epidemiology, (9), 881–888.CrossRefGoogle ScholarPubMed
Roos, L.L., Sharp, S.M., & Wajda, A. (1989). Assessing data quality: A computerized approach. Social Science and Medicine, 28, 175–182.CrossRefGoogle ScholarPubMed
Roos, L.L., & Wajda, A. (1991). Record linkage strategies: Part I. Estimating information and evaluating approaches. Methods of Information in Medicine, 30, 117–123.Google ScholarPubMed
Roos, L.L., Walld, R., Wajda, A., Bond, R., & Hartford, K. (1996). Record linkage strategies, outpatient procedures, and administrative data. Medical Care, 34, 570–582.CrossRefGoogle ScholarPubMed
Roos, N.P., Carrière, K.C., & Friesen, D. (1998). Factors influencing the frequency of visits by hypertensive patients to primary care physicians in Winnipeg. Canadian Medical Association Journal, 159, 777–783.Google ScholarPubMed
Roos, N.P., & Shapiro, E. (Eds). (1999). Academics at the policy interface: Revisiting the Manitoba Centre for Health Policy and Evaluation and its population-based health information system. Medical Care, 37(Suppl. 6), JS1–JS308.CrossRefGoogle Scholar
Sackett, D.L., Haynes, R.B., Guyatt, G.H., & Tugwell, P. (Eds.). (1991). Clinical epidemiology: A basic science for clinical medicine (2nd ed.). Boston: Little, Brown and Company.Google Scholar
Sheps, S.B., Reid, R.J., Barer, M.L., Krueger, H., McGrail, K.M., Green, B., Evans, R.G., & Hertzman, C. (2000). Hospital downsizing and trends in health care use among elderly people in British Columbia. Canadian Medical Association Journal, 163, 411–412.Google ScholarPubMed
Starr, P. (1997). Smart technology, stunted policy: Developing health information networks. Health Affairs (Millwood), 16, 91–105.CrossRefGoogle ScholarPubMed
Statistics Canada. (2001). Population by aboriginal group, 1996 Census. Retrieved December 14, 2004, from http://www.statcan.ca/english/Pgdb/People/Population/dem039a.htmGoogle Scholar
Stukenborg, G.J., Wagner, D.P., & Connors, A.F. Jr. (2001). Comparison of the performance of two comorbidity measures, with and without information from prior hospitalizations. Medical Care, 39, 727–739.CrossRefGoogle ScholarPubMed
Tamblyn, R. (2002). The new millennium model for health care and research. In Downey, J. & Claxton, L. (Eds), Innovation: Essays by leading Canadian researchers. 185–193. Toronto: Key Porter Books Ltd.Google Scholar
Tamblyn, R., Lavoie, G., Petrella, L., & Monette, J. (1995). The use of prescription claims databases in pharmacoepidemiological research: The accuracy and comprehensiveness of the prescription claims database in Quebec. Journal of Clinical Epidemiology, 48, 999–1009.CrossRefGoogle ScholarPubMed
Tamblyn, R., Reid, T., Mayo, N.E., McLeod, P.J., & Churchill-Smith, M. (2000). Using medical services claims to assess injuries in the elderly: Sensitivity of diagnostic and procedure codes for injury ascertainment. Journal of Clinical Epidemiology, 53, 183–194.CrossRefGoogle ScholarPubMed
Thiessen, B.Q., Wallace, S.M., Blackburn, J., Wilson, T.W., & Bergman, U. (1990). Increased prescribing of anti-depressants subsequent to B-blocker therapy. Archives of Internal Medicine, 150, 2286–2290.CrossRefGoogle Scholar
Tu, J.V., Austin, P.C., Walld, R., Roos, L.L., Agras, J., & McDonald, K.M. (2001). Development and validation of the Ontario acute myocardial infarction mortality prediction rules. Journal of the American College of Cardiology, 37, 992–997.CrossRefGoogle ScholarPubMed
Veugelers, P.J., Yip, A.M., & Kephart, G. (2001). Proximate and contextual socioeconomic determinants of mortality: Multilevel approaches in a setting with universal health care coverage. American Journal of Epidemiology, 154, 725–732.CrossRefGoogle Scholar
Virnig, B.A., & McBean, M. (2001). Administrative data for public health surveillance and planning. Annual Review of Public Health, 22, 213–230.CrossRefGoogle ScholarPubMed
Wajda, A., & Roos, L.L. (1987). Simplifying record linkage: Software and strategy. Computers in Biology and Medicine, 17, 239–248.CrossRefGoogle ScholarPubMed
Wajda, A., Roos, L.L., Layefsky, M., & Singleton, J.A. (1991). Record linkage strategies, part 2: Portable softwarre and deterministic matching. Methods of Information in Medicine, 30, 210–214.Google ScholarPubMed
Weiner, J. (1999). Time, love, memory: A great biologist and his quest for the origins of behavior. New York: Alfred A. Knopf.Google Scholar
West, S.L., Richter, A., Melfi, C.A., McNutt, M., Nennstiel, M.E., & Mauskopf, J.A. (2000). Assessing the Saskatchewan database for outcomes research studies of depression and its treatment. Journal of Clinical Epidemiology, 53, 823–831.CrossRefGoogle ScholarPubMed
Young, T.K., Roos, N.P., & Hammarstrand, K.M. (1991). Estimated burden of diabetes mellitus in Manitoba according to health insurance claims: A pilot study. Canadian Medical Association Journal, 144, 318–324.Google ScholarPubMed