School of Public Health
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12503/21845
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Browsing School of Public Health by Subject "acute myocardial infarction"
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Item Gender Differences: Making the Decision to Seek Treatment for Symptoms of Acute Myocardial Infarction(2000-05-01) Borski, Catherine A.; Shelia Reed; Joseph Doster; Claudia CogginBorski, Catherine A., Gender Differences: Making the decision to seek treatment for symptoms of acute myocardial infarction. Masters of Public Health (Health Behavior), May, 2000, 57 pp., reference list, 37 titles. The purpose of this study was to investigate the problem: Do differences in interpretation and response to symptoms of AMI account for additional delay in seeking treatment in women compared with men? The sample consisted of 50 (21 women, 29 men) post-myocardial infarction patients in a large, non-profit, teaching hospital in central Texas. Participants were interviewed within 72 hours of admission using the Revised Response to Symptoms questionnaire. In this study, it was found that there was a statistically significant difference between the cognitive and emotional processes that men and women use when making the decision to seek treatment for symptoms of AMI.Item Predictors of In-Hospital Mortality Among Acute Myocardial Infarction Patients in a Large Health Care System(2001-07-01) Zhang, Huiling; Karan Singh; Antonio Rene; Sally BlakleyZhang, Huiling. Predictors of In-hospital Mortality Among Acute Myocardial Infarction Patients in a Large Health Care System. Master of Public Health, July 2000, 29 pp., 4 tables, 29 references. Background---There is increasing interest in the identification of risk predictors for in-hospital mortality due to acute myocardial infarction (AMI). To date, there has been no AMI in-hospital mortality prediction models developed using clinical database. Methods and Results---The study population consists of 4,167 AMI cases admitted to 36 hospitals in 3 states. Thirty variables were selected as candidate predictors, and 19 showed significant bivariate association with AMI in-hospital mortality. By applying multiple logistic regression and stepwise selection, 10 variables were selected for inclusion in the final prediction model: age, arrive from cardiac rehabilitation center, CPR on arrival, Killip class, AMI with comorbidities, AMI with complications, PCTA performed, beta-blockers given, ACE inhibitors given, Plavix given. Conclusion---A ten-variable in-hospital mortality prediction model for AMI patients, which includes both risk factors and beneficial treatment procedures, was developed. Chi-square goodness of fit test suggested a very good fit for the model.Item The Association Between Medical Insurance Coverage, In-Hospital Case Fatality Rate, and Length of Hospital Stay Following Admission for Acute Myocardial Infarction in Texas Hospitals(2002-07-01) Boppana, Dinesh; Antonio A. Rene; Sally Blakley; Doug A. MainsDinesh Boppana, The Association Between Medical Insurance Coverage, In-hospital Case Fatality Rate and Length of Hospital Stay Following Admission for Acute Myocardial Infarction in Texas Hospitals. Master of Public Health, July 2002, 53pp., 22 tables, bibliography, 63 titles. This study reports the possible association between type of medical insurance coverage, in-hospital case fatality rates and length of hospital stay following admission for acute myocardial infarction (AMI) in Texas hospitals for the year of 1999. Methods. The data sources was the Texas Health Care Information Council public use data file. Crude and multivariable-adjusted analyses were used to examine the relation between type of medical insurance coverage, length of hospital stay and in-hospital case-fatality rates following AMI. Results. Relative to the referent group of private or commercial insurance patients (odds ratio, 1.0) the multi-variable adjusted odds for dying during acute hospitalization were 1.98 (95% CI, 1.53-2.52) for Medicaid, 1.45 (95% CI, 1.27-1.64) for Medicare. The mean length of hospital stay in days after excluding patients with a prolonged hospitalization was 8.53 (95% CI, 7.93-9.14) for Medicaid, 6.75 (95% CI, 6.52-6.95) for Medicare, and 5.58 (95% CI, 5.37-5.79) for commercial insurance. Conclusions. The findings suggest that patient enrolled in Medicaid and Medicare insurance program had increased in-hospital mortality, and higher length of hospital stay following admission with AMI when compared to the patients enrolled in commercial insurance.