Why the study?
What are the prescription rates and predictors of ACEI use in community patients hospitalized with AMI?
What are the prescription rates and predictors of ACEI use in community patients hospitalized with AMI?
This study highlights the significant underutilization of ACE inhibitors in eligible AMI patients in community hospitals, particularly among women.
Answers are grounded in this paper and cite their sources.
ACEI underutilization at AMI discharge in community hospitals merits review; leaves open targeted implementation research on predictors and barriers.
BACKGROUND: Previous studies documenting underutilization of angiotensin-converting enzyme inhibitors (ACEIs) in acute myocardial infarction (AMI) have been limited to Medicare populations. HYPOTHESIS: This study examines ACEI prescription rates and predictors in a community sample of hospitalized patients with AMI. METHODS: The charts of 1163 community patients with AMI, prospectively identified at admission between January 1, 1994, and April 30, 1995, were reviewed. RESULTS: Only 64 of 158 (40%) patients considered ideal candidates for ACEI prescription were discharged with a prescription for an ACEI. In a multivariate logistic regression model, prior ACEI utilization [adjusted odds ration (OR) = 3.26; 95% confidence interval (CI) = 2.05-5.20], presence of congestive heart failure (OR = 2.33; CI = 1.50-3.61) and black race (OR = 2.20; CI = 1.34-3.64) were identified as positive predictors of ACEI prescription. Conversely, lack of left ventricular ejection fraction (LVEF) measurement (OR = 0.46; CI = 0.28-0.75), LVEF > 40 ( OR = 0.27; CI = 0.18-0.40), and acute renal failure (OR = 0.08; CI = 0.01-0.44) were negative predictors. Women were also less likely to be discharged with an ACEI prescription (OR = 0.71; CI = 0.48-1.05). Furthermore, women were significantly less likely to have LVEF measured prior to discharge than were males (77 vs. 85%, p = 0.001). CONCLUSION: This study underscores the need for improvement in the utilization of ACEI in eligible patients with AMI. It also identifies opportunities for improvement in prescription rates, especially in women.
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Dwamena et al. (2000) studied this question.
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