UNLABELLED: Numerous studies have documented treatment disparities in patients with acute coronary syndromes based on race and gender. Other causes for treatment disparities may exist. OBJECTIVES: To determine if insurance status affects quality of care in patients with acute myocardial infarction (AMI) presenting to academic health centers. METHODS: The Internet Tracking Registry for Acute Coronary Syndromes (i*trACS), a prospective multicenter registry of patients with chest pain presenting to the emergency department who receive an electrocardiogram, was used as the database (N = 17,737). A subset of patients who were diagnosed as having AMI were selected from the database (n = 936). Patients were classified as having either ST-segment elevation MI (n = 178) or non-ST-segment elevation MI (n = 758). Insurance status, age, race, and gender were extracted as predictor variables. The influence of predictor variables on treatment modality was investigated using logistic regression, adjusted for clustering within sites. RESULTS: The odds of a self-pay patient with ST-segment elevation MI receiving fibrinolytics were 3.23 (95% CI = 1.56 to 6.69) times higher than for other patients. Patients with Medicare coverage were less likely to receive fibrinolytics (odds ratio [OR] 0.35, 95% CI = 0.19 to 0.65) and tended to undergo percutaneous coronary intervention less often (OR 0.60, 95% CI = 0.36 to 1.01). The odds of a privately insured patient's receiving coronary artery bypass grafting (OR 2.76, 95% CI = 1.62 to 4.72) or percutaneous coronary intervention (OR 1.47, 95% CI = 1.03 to 2.11) were higher than for other patients. CONCLUSIONS: Insurance coverage appears to affect treatment in patients with AMI, with self-pay patients more likely to receive less-expensive therapies and insured patients more likely to receive invasive treatments.
UNLABELLED: Numerous studies have documented treatment disparities in patients with acute coronary syndromes based on race and gender. Other causes for treatment disparities may exist. OBJECTIVES: To determine if insurance status affects quality of care in patients with acute myocardial infarction (AMI) presenting to academic health centers. METHODS: The Internet Tracking Registry for Acute Coronary Syndromes (i*trACS), a prospective multicenter registry of patients with chest pain presenting to the emergency department who receive an electrocardiogram, was used as the database (N = 17,737). A subset of patients who were diagnosed as having AMI were selected from the database (n = 936). Patients were classified as having either ST-segment elevation MI (n = 178) or non-ST-segment elevation MI (n = 758). Insurance status, age, race, and gender were extracted as predictor variables. The influence of predictor variables on treatment modality was investigated using logistic regression, adjusted for clustering within sites. RESULTS: The odds of a self-pay patient with ST-segment elevation MI receiving fibrinolytics were 3.23 (95% CI = 1.56 to 6.69) times higher than for other patients. Patients with Medicare coverage were less likely to receive fibrinolytics (odds ratio [OR] 0.35, 95% CI = 0.19 to 0.65) and tended to undergo percutaneous coronary intervention less often (OR 0.60, 95% CI = 0.36 to 1.01). The odds of a privately insured patient's receiving coronary artery bypass grafting (OR 2.76, 95% CI = 1.62 to 4.72) or percutaneous coronary intervention (OR 1.47, 95% CI = 1.03 to 2.11) were higher than for other patients. CONCLUSIONS: Insurance coverage appears to affect treatment in patients with AMI, with self-pay patients more likely to receive less-expensive therapies and insured patients more likely to receive invasive treatments.
Authors: Jennifer E Devoe; Rachel Gold; Patti McIntire; Jon Puro; Susan Chauvie; Charles A Gallia Journal: Ann Fam Med Date: 2011 Jul-Aug Impact factor: 5.166
Authors: Nakela L Cook; Denise E Bonds; Catarina I Kiefe; Jeptha P Curtis; Harlan M Krumholz; Nancy R Kressin; Eric D Peterson Journal: Circ Cardiovasc Qual Outcomes Date: 2013-03-12
Authors: Dominique J Monlezun; Alfred T Samura; Ritesh S Patel; Tariq E Thannoun; Prakash Balan Journal: Cardiol Res Pract Date: 2021-11-24 Impact factor: 1.866