ACCF/AHA 2011 Health Policy Statement on Therapeutic Interchange and Substitution

Holmes, David R.; Becker, Jeffrey A.; Granger, Christopher B.; Limacher, Marian C.; Page, Robert L.; Sila, Cathy A.; Drozda, Joseph P.; Cacchione, Joseph; Erb, Blair D.; Harrington, Robert A.; Kennett, Jerry D; Krumholz, Harlan M.; Peterson, Eric D.; Poppas, Athena; Sahn, David J.; Sanz, Mark L.; Shahian, David M.; Windle, John R.; Wyman, Janet

doi:10.1016/j.jacc.2011.06.001

Cited by 20 publications

(8 citation statements)

References 68 publications

(51 reference statements)

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“…For the construction and analysis of a “gene ontology–effect” network, the targets related to pharmacological effects were screened according to the authoritative classification and references (Figure 2). The treatment mechanisms that were suitable for the network analysis and experimental evaluation can be summarized as anticoagulation, vasodilation, glucose metabolism, lipid metabolism, reduction of heart preload, ventricular wall tension, heart rate and myocardial contractility (Holmes et al, 2011; Husted and Ohman, 2015). Target data of pharmacological effects were screened through literature mining of PubMed references.…”

Section: Methodsmentioning

confidence: 99%

“…Cardiovascular disease, including atherosclerosis, myocardial infarction, heart failure and stroke, is the leading cause of morbidity and mortality in developed nations. Acute myocardial infarction (AMI) is induced through the narrowing of arteries caused by atherosclerotic plaques or the acute occlusion of the coronary artery by thrombosis, and has received extensive attention due to its high risk and poor outcome among all the symptoms of coronary heart disease (Holmes et al, 2011; Husted and Ohman, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Effect of Schisandra in the Treatment of Myocardial Infarction Based on Three-Mode Gene Ontology Network

Zuo

et al. 2019

Front. Pharmacol.

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Schisandra chinensis is a commonly used traditional Chinese medicine, which has been widely used in the treatment of acute myocardial infarction in China. However, it has been difficult to systematically clarify the major pharmacological effect of Schisandra, due to its multi-component complex mechanism. In order to solve this problem, a comprehensive network analysis method was established based-on “component–gene ontology–effect” interactions. Through the network analysis, reduction of cardiac preload and myocardial contractility was shown to be the major effect of Schisandra components, which was further experimentally validated. In addition, the expression of NCOR2 and NFAT in myocyte were experimentally confirmed to be associated with Schisandra in the treatment of AMI, which may be responsible for the preservation effect of myocardial contractility. In conclusion, the three-mode gene ontology network can be an effective network analysis workflow to evaluate the pharmacological effects of a multi-drug complex system.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of Effect of Schisandra in the Treatment of Myocardial Infarction Based on Three-Mode Gene Ontology Network

Zuo

et al. 2019

Front. Pharmacol.

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“…[ 4 , 5 ] However, therapeutic interchange may also increase the risk of error by forcing a switch on admission from patients’ home medication to a different medication in the same class that is on the hospital formulary. [ 6 ] While benefits of hospital formularies have been explored, their associated risks are less well-established.…”

Section: Introductionmentioning

confidence: 99%

“…Critics argue that changing medications within a class may be less patient-centered, be less effective, cause more side effects, or promote a shift to more expensive medication use. [ 6 – 9 ] However, others argue that changes can generally be made safely, that outcomes are usually equivalent, and that a restricted formulary is necessary for efficiency and standardization of care. [ 1 , 10 – 13 ] While such benefits may be substantive in the inpatient setting, there has been little research on the impact of therapeutic interchange on discharge medication reconciliation.…”

Section: Introductionmentioning

confidence: 99%

Effect of therapeutic interchange on medication reconciliation during hospitalization and upon discharge in a geriatric population

Wang¹,

Fogerty²,

Horwitz³

2017

PLoS ONE

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BackgroundTherapeutic interchange of a same class medication for an outpatient medication is a widespread practice during hospitalization in response to limited hospital formularies. However, therapeutic interchange may increase risk of medication errors. The objective was to characterize the prevalence and safety of therapeutic interchange.Methods and findingsSecondary analysis of a transitions of care study. We included patients over age 64 admitted to a tertiary care hospital between 2009–2010 with heart failure, pneumonia, or acute coronary syndrome who were taking a medication in any of six commonly-interchanged classes on admission: proton pump inhibitors (PPIs), histamine H2-receptor antagonists (H2 blockers), hydroxymethylglutaryl CoA reductase inhibitors (statins), angiotensin-converting enzyme (ACE) inhibitors, angiotensin receptor blockers (ARBs), and inhaled corticosteroids (ICS). There was limited electronic medication reconciliation support available. Main measures were presence and accuracy of therapeutic interchange during hospitalization, and rate of medication reconciliation errors on discharge. We examined charts of 303 patients taking 555 medications at time of admission in the six medication classes of interest. A total of 244 (44.0%) of medications were therapeutically interchanged to an approved formulary drug at admission, affecting 64% of the study patients. Among the therapeutically interchanged drugs, we identified 78 (32.0%) suspected medication conversion errors. The discharge medication reconciliation error rate was 11.5% among the 244 therapeutically interchanged medications, compared with 4.2% among the 311 unchanged medications (relative risk [RR] 2.75, 95% confidence interval [CI] 1.45–5.19).ConclusionsTherapeutic interchange was prevalent among hospitalized patients in this study and elevates the risk for potential medication errors during and after hospitalization. Improved electronic systems for managing therapeutic interchange and medication reconciliation may be valuable.

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“…Debate exists among medical and health policy researchers on the clinical equivalence of generic therapeutic interchange and substitution (Holmes et al 2011). Generic therapeutic interchange and substitution are defined as follows, based on a report by the Clinical Quality Committee (CQC) of the American College of Cardiology Foundation (ACCF) (Holmes et al 2011(Holmes et al , 1289:…”

Section: Introductionmentioning

confidence: 99%

The Effects of State Pharmacy Drug Product Selection Laws on Statin Patient Generic-To-Branded Drug Switch-Backs

Chressanthis

Dahan

Fandl

2015

The American Economist

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Brand-to-generic drug therapeutic substitution effects on patient health is an important health policy issue. State pharmacy drug product selection (DPS) laws allow pharmacists to more easily switch prescriptions from brand-to-generic drugs. This research measures the effects of DPS laws on statinpatient generic-to-branded drug switchbacks , this being a potential indicator of clinical failure from the initial brand-to-generic substitution. Anonymized patient-level data from 2006-2008 were analyzed on statin drug utilization patterns for 397,111 U.S. patients. Logistic regression results on DPS and non-DPS variables show effects on switchbacks in a manner consistent with implications from a principal-agent framework in healthcare. DPS laws should be reviewed to ensure that drugs dispensed by pharmacists are those intended by physicians and in the best health interests of patients.

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ACCF/AHA 2011 Health Policy Statement on Therapeutic Interchange and Substitution

Cited by 20 publications

References 68 publications

Analysis of Effect of Schisandra in the Treatment of Myocardial Infarction Based on Three-Mode Gene Ontology Network

Analysis of Effect of Schisandra in the Treatment of Myocardial Infarction Based on Three-Mode Gene Ontology Network

Effect of therapeutic interchange on medication reconciliation during hospitalization and upon discharge in a geriatric population

The Effects of State Pharmacy Drug Product Selection Laws on Statin Patient Generic-To-Branded Drug Switch-Backs

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