Study design to determine the effects of widespread restrictions on hospital utilization to control an outbreak of SARS in Toronto, Canada

References

• National Advisory Committee on SARS and Public Health. Learning from SARS: renewal of public health in Canada. October, 1–222 (2003).
   Google Scholar
• Institute for Clinical Evaluative Sciences SARS report. (2005).
   Google Scholar
• MacDonald RD, Farr B, Neill M et al. An emergency medical services transfer authorization center in response to the Toronto severe acute respiratory syndrome outbreak. Prehosp. Emerg. Care8, 223–231 (2004).
   PubMedGoogle Scholar
• Wennberg JE. Small area analysis and the medical care outcome problem. In: Research Methodology: Strengthening Causal Interpretations of Nonexperimental Data. Sechrest L, Perrin E, Bunker J (Eds). MD, US Department of Health and Human Services, 177–206 (2003).
   Google Scholar
• Wennberg JE, McPherson K, Caper P. Will payment based on diagnosis-related groups control hospital costs? N. Engl. J. Med.311, 295–300 (1984).
   PubMed Web of Science ®Google Scholar
• Roos NP, Wennberg JE, McPherson K. Using diagnosis-related groups for studying variations in hospital admissions. healthcare Financ. Rev.9, 53–62 (1988).
   Google Scholar
• Fisher ES, Wennberg JE, Stukel TA, Sharp SM. Hospital readmission rates for cohorts of Medicare beneficiaries in Boston and New Haven. N. Engl. J. Med.331, 989–995 (1994).
   PubMed Web of Science ®Google Scholar
• Wennberg JE. Population illness rates do not explain population hospitalization rates. A comment on Mark Blumberg’s thesis that morbidity adjusters are needed to interpret small area variations. Med. Care25, 354–359 (1987).
   Google Scholar
• Aro S, Hosia P. Effects of a doctors’ strike on primary care utilization in Varkaus, Finland. Scand. J. Prim. Healthcare5, 245–251 (1987).
   PubMedGoogle Scholar
• Roemer MI. More data on post-surgical deaths related to the 1976 Los Angeles doctor slowdown. Soc. Sci. Med.15, 161–163 (1981).
   Google Scholar
• Slater PE, Ever-Hadani P, Adler Y, Ellencweig AY. Emergency department utilization during a doctors’ strike. Am. J. Emerg. Med.2, 486–490 (1984).
   Google Scholar
• Siegel-Itzkovich J. Doctors’ strike in Israel may be good for health. Br. Med. J.320, 1561 (2000).
   Google Scholar
• Marcovici OA, Slater PE, Ellencweig AY. Effects of the Israel doctors’ strike on hypertension control in Ashdod. Eur. J. Epidemiol.3, 30–34 (1987).
   Google Scholar
• Mustard CA, Harman CR, Hall PF, Derksen S. Impact of a nurses’ strike on the cesarean birth rate. Am. J. Obstet. Gynecol.172, 631–637 (1995).
   Google Scholar
• Norman RM, Malla AK. The effect of a mental hospital strike on general hospital psychiatric services. Psychol. Med.14, 913–921 (1984).
   PubMed Web of Science ®Google Scholar
• Schlosberg A, Zilber N, Avraham F. Effects of a psychiatrists’ strike on emergency psychiatric referral and admissions. Soc. Psychiatry Psychiatr. Epidemiol.24, 84–87 (1989).
   Google Scholar
• Carmel S, Barnoon S, Zalcman T. Social class differences in coping with a physicians’ strike in Israel. J. Community Health15, 45–57 (1990).
   PubMedGoogle Scholar
• Bell CM, Redelmeier DA. Mortality among patients admitted to hospitals on weekends as compared with weekdays. N. Engl. J. Med.345, 663–668 (2001).
   PubMed Web of Science ®Google Scholar
• Billings J, Zeitel L, Lukomnik J et al. Impact of socioeconomic status on hospital use in New York City. Health Aff (Millwood )12, 162–173 (1993).
   Google Scholar
• Weissman JS, Gatsonis C, Epstein AM. Rates of avoidable hospitalization by insurance status in Massachusetts and Maryland. JAMA268, 2388–2394 (1992).
   PubMed Web of Science ®Google Scholar
• Bindman AB, Grumbach K, Osmond D et al. Preventable hospitalizations and access to healthcare. JAMA274, 305–311 (1995).
   PubMed Web of Science ®Google Scholar
• Parchman ML, Culler S. Primary care physicians and avoidable hospitalizations. J. Fam. Pract.39, 123–128 (1994).
   PubMed Web of Science ®Google Scholar
• Booth GL, Fang J. Acute complications of diabetes. In: Diabetes in Ontario: An ICES practice Atlas. Hux JE, Booth GL, Slaughter P, Laupacis A(Eds). Toronto, Institute for Clinical Evaluative Sciences, Canada, 1(2), 2.19–3.50 (2003).
   Google Scholar
• Hahn DL. The delivery of clinical preventive services: acute care intervention. J. Fam. Pract.48, 785–789 (1999).
   Google Scholar
• Flocke SA, Stange KC, Goodwin MA. Patient and visit characteristics associated with opportunistic preventive services delivery. J. Fam. Pract.47, 202–208 (1998).
   Google Scholar
• Chubon SJ, Schulz RM, Lingle EW Jr, Coster-Schulz MA. Too many medications, too little money: how do patients cope? Public Health Nurs.11, 412–415 (1994).
   Google Scholar
• Wennberg JE, Gittelsohn A. Small area variations in healthcare delivery. Science182, 1102–1108 (1973).
   PubMed Web of Science ®Google Scholar
• Wennberg JE. Dartmouth Atlas of healthcare Working Group. The Dartmouth Atlas of Healthcare 1999. Hanover, NH: American Hospital Press International (1999).
   Google Scholar
• Keyfitz N. Sampling variance of standardized mortality rates. Hum. Biol.38, 309–317 (1966).
   PubMed Web of Science ®Google Scholar
• Zeger SL, Liang KY. Longitudinal data analysis for discrete and continuous outcomes. Biometrics42, 121–130 (1986).
   PubMed Web of Science ®Google Scholar
• McCullagh P, Nelder JA. Generalized Linear Models. Chapman & Hall (Eds). NY, USA (1989).
   Google Scholar
• Stukel TA. Comparison of methods for the analysis of longitudinal interval count data. Stat. Med.12, 1339–1351 (1993).
   PubMed Web of Science ®Google Scholar
• Alter DA, Naylor CD, Austin P, Tu JV. Effects of socioeconomic status on access to invasive cardiac procedures and on mortality after acute myocardial infarction. N. Engl. J. Med.341, 1359–1367 (1999).
   PubMed Web of Science ®Google Scholar
• Cox DR, Oakes D. Analysis of Survival Data. New York: Chapman and Hall (1984). Int. J. Epidemiol18, S38–S45 (1989).
   Google Scholar
• Tu JV, Austin PC, Walld R, Roos L, Agras J, McDonald KM. Development and validation of the Ontario acute myocardial infarction mortality prediction rules. J. Am. Coll. Cardiol.37, 992–997 (2001).
   Google Scholar
• Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases.J. Clin. Epidemiol.45, 613–619 (1992).
   PubMed Web of Science ®Google Scholar
• Schlesselman JJ. Smallest detectable relative risk with multiple controls per case. Am. J. Epidemiol.125, 348(1987).
   Google Scholar
• Richards J, Brown A, Homan C. The data quality study of the Canadian Discharge Abstract database. Proceedings of Statistics Canada Symposium. Achieving Data Quality in a Statistical Agency: a Methodological Perspective (2001).
   Google Scholar
• Levy AR, O'Brien BJ, Sellors C, Grootendorst P, Willison D. Coding accuracy of administrative drug claims in the Ontario Drug Benefit database. Can. J. Clin. Pharmacol.10, 67–71 (2003).
   PubMedGoogle Scholar
• Hux JE, Ivis F, Flintoft V, Bica A. Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm. Diabetes Care25, 512–516 (2002).
   PubMed Web of Science ®Google Scholar