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- W2017403936 abstract "CHAPTER THIRTEEN: VALIDATION STUDY OF ACUTE MYOCARDIAL INFARCTION, METHODOLOGY This chapter describes the methods used to validate the results of the 1993 California Hospital Outcomes Project for acute myocardial infarction. It details the sampling, data collection, and data analysis methodologies that were used. OVERVIEW The AMI validation study was a retrospective cross-sectional study based on a stratified two-stage probability sample of AMI hospitalizations at medium to high volume, acute care hospitals in California. All AMI admissions between July 31, 1990 and May 31, 1991 that were included in OSHPD's 1993 California Hospital Outcomes Project report were eligible for sampling. At OSHPD's request, participating hospitals submitted a complete copy of each sampled record. Each record was exhaustively reviewed by both a medical records professional and a clinician (intensive care nurse or physician), who then entered all abstracted information into a computerized data entry system with built-in error checks and branching logic. To maximize the reliability and validity of abstraction, reviewers were given detailed written guidelines, received special training and on-site supervision, and were monitored through 5% overreading. The data were cleaned and missing values of critical variables were filled in whenever possible. A variety of univariate, bivariate, and multivariate data analyses were performed, as described in the next chapter. Weighted analyses were performed when appropriate, to compensate for the oversampling of outlier hospitals and patients who died. The entire study protocol was approved by the Human Subjects Review Committee at the University of California, Davis. Appropriate safeguards were established to ensure that all records are stored safely and are not accessible to persons outside the California Hospital Outcomes Project staff. POWER ANALYSIS OSHPD's power analysis was based on Question 3 described in Chapter Twelve. The null hypothesis for this analysis is that key risk factors, such as congestive heart failure and anterior wall involvement, are coded with equal sensitivity at hospitals with high, average, and low risk-adjusted mortality. The alternative (two-tailed) hypothesis is that these risk factors are coded differently, corresponding to a hospital's risk-adjusted mortality classification. To achieve 80% power to detect a 20% difference in coding sensitivity (e.g., 60% versus 80%) with a type I error rate of 5%, each of the three hospital mortality classes" @default.
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- W2017403936 date "1996-03-21" @default.
- W2017403936 modified "2023-09-27" @default.
- W2017403936 title "Second Report of the California Hospital Outcomes Project (1996): Acute Myocardial Infarction Volume Two: Technical Appendix-chatper013" @default.
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