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OBJECTIVE In public health and health services research, the inclusion of geographic information in data sets is critical. Because of concerns over the re-identification of patients, data from small geographic areas are either suppressed or the geographic areas are aggregated into larger ones. Our objective is to estimate the population size cut-off at(More)
IS evaluation exercises continued to engender scepticism. The evaluation of IS investment is considered a 'wicked problem' and there are good reasons for this judgement. The topic has attracted many researchers. There is a substantial body of literature on the problems of measurement and the inadequacies of traditional investment appraisal methods. A wide(More)
Differences and tensions between the Baby Boom generation (born 1945-1962) and Generation X (born 1963-1981) have profound implications for the future of academic medicine. By and large, department heads and senior faculty are Boomers; today's residents and junior faculty are Generation X'ers. Looking at these issues in terms of the generations involved(More)
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BACKGROUND A common disclosure control practice for health datasets is to identify small geographic areas and either suppress records from these small areas or aggregate them into larger ones. A recent study provided a method for deciding when an area is too small based on the uniqueness criterion. The uniqueness criterion stipulates that an the area is no(More)
The Discharge Abstract Database (DAD) is one of the key data holdings held by the Canadian Institute for Health Information (CIHI). The Institute is a national, not-for-profit organization, which plays a critical role in the development of Canada's health information system. The Discharge Abstract Database contains acute care discharge data from most(More)
Introduction The Canadian Institute for Health Information (CIHI) is conducting the first national study of the quality of the Canadian hospital discharge data contained in the Discharge Abstract Database (DAD). The study is aimed at measuring discrepancies, identifying sources of error, and providing users of the study with statistically reliable(More)