Helen A. Harris MS (is Doctoral Candidate in Systems Modeling and Analysis, Department of Mathematics and Applied Mathematics, Virginia Commonwealth University (VCU)), David M. Chan PhD (is Professor, Department of Mathematics and Applied Mathematics, VCU), Laura Ellwein Fix PhD (is Associate Professor, Department of Mathematics and Applied Mathematics, VCU), Melissa Chouinard MD (is Director, Medication Safety, VCU Health, Richmond, Virginia, and Associate Professor, Division of Hospital Medicine, Department of Internal Medicine, VCU), Teresa M. Salgado MPharm, PhD (is Director, Center for Pharmacy Practice Innovation, VCU School of Pharmacy, and Associate Professor, Department of Pharmacotherapy and Outcomes Science, VCU), Le Kang PhD (is Associate Professor, Department of Biostatistics, School of Public Health, VCU), Gonzalo Bearman MD, MPH (is Professor, Department of Internal Medicine, and Chief, Division of Infectious Diseases, VCU. Please address correspondence to Helen Harris)
{"title":"药物调节对ICU预后的增量效益建模。","authors":"Helen A. Harris MS (is Doctoral Candidate in Systems Modeling and Analysis, Department of Mathematics and Applied Mathematics, Virginia Commonwealth University (VCU)), David M. Chan PhD (is Professor, Department of Mathematics and Applied Mathematics, VCU), Laura Ellwein Fix PhD (is Associate Professor, Department of Mathematics and Applied Mathematics, VCU), Melissa Chouinard MD (is Director, Medication Safety, VCU Health, Richmond, Virginia, and Associate Professor, Division of Hospital Medicine, Department of Internal Medicine, VCU), Teresa M. Salgado MPharm, PhD (is Director, Center for Pharmacy Practice Innovation, VCU School of Pharmacy, and Associate Professor, Department of Pharmacotherapy and Outcomes Science, VCU), Le Kang PhD (is Associate Professor, Department of Biostatistics, School of Public Health, VCU), Gonzalo Bearman MD, MPH (is Professor, Department of Internal Medicine, and Chief, Division of Infectious Diseases, VCU. Please address correspondence to Helen Harris)","doi":"10.1016/j.jcjq.2025.02.001","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Medication errors such as medication discrepancies can occur in patients who are hospitalized and may result in adverse drug events (ADEs). Pharmacist-led medication reconciliation (MR) is an intervention that can be used to address medication discrepancies. Estimating the impact of MR in a medical setting is challenging to do experimentally. In this study, researchers implemented a mathematical model for estimating impact.</div></div><div><h3>Methods</h3><div>The authors modeled the effects of a series of incremental changes in MR completion on ADEs and conducted a cost-effectiveness analysis using a Markov chain model.</div></div><div><h3>Results</h3><div>In a 28-bed ICU, increasing the MR completion rate resulted in decreases in the total number of yearly ADEs by as many as 106, varying by the baseline ADE rate. The financial implications of increasing MR completion ranged from $27,808 in additional costs to $1,818,440 in savings on a yearly basis, depending on the baseline ADE rate and cost per ADE.</div></div><div><h3>Conclusion</h3><div>For institutions with low ADE rates, as MR completion increases and ADEs decrease, MR (though clinically beneficial) may not be financially worthwhile. However, MR implementation was found to produce significant savings for hospitals with average or high ADE rates.</div></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":"51 6","pages":"Pages 398-404"},"PeriodicalIF":2.3000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling Incremental Benefit of Medication Reconciliation on ICU Outcomes\",\"authors\":\"Helen A. Harris MS (is Doctoral Candidate in Systems Modeling and Analysis, Department of Mathematics and Applied Mathematics, Virginia Commonwealth University (VCU)), David M. Chan PhD (is Professor, Department of Mathematics and Applied Mathematics, VCU), Laura Ellwein Fix PhD (is Associate Professor, Department of Mathematics and Applied Mathematics, VCU), Melissa Chouinard MD (is Director, Medication Safety, VCU Health, Richmond, Virginia, and Associate Professor, Division of Hospital Medicine, Department of Internal Medicine, VCU), Teresa M. Salgado MPharm, PhD (is Director, Center for Pharmacy Practice Innovation, VCU School of Pharmacy, and Associate Professor, Department of Pharmacotherapy and Outcomes Science, VCU), Le Kang PhD (is Associate Professor, Department of Biostatistics, School of Public Health, VCU), Gonzalo Bearman MD, MPH (is Professor, Department of Internal Medicine, and Chief, Division of Infectious Diseases, VCU. Please address correspondence to Helen Harris)\",\"doi\":\"10.1016/j.jcjq.2025.02.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Medication errors such as medication discrepancies can occur in patients who are hospitalized and may result in adverse drug events (ADEs). Pharmacist-led medication reconciliation (MR) is an intervention that can be used to address medication discrepancies. Estimating the impact of MR in a medical setting is challenging to do experimentally. In this study, researchers implemented a mathematical model for estimating impact.</div></div><div><h3>Methods</h3><div>The authors modeled the effects of a series of incremental changes in MR completion on ADEs and conducted a cost-effectiveness analysis using a Markov chain model.</div></div><div><h3>Results</h3><div>In a 28-bed ICU, increasing the MR completion rate resulted in decreases in the total number of yearly ADEs by as many as 106, varying by the baseline ADE rate. The financial implications of increasing MR completion ranged from $27,808 in additional costs to $1,818,440 in savings on a yearly basis, depending on the baseline ADE rate and cost per ADE.</div></div><div><h3>Conclusion</h3><div>For institutions with low ADE rates, as MR completion increases and ADEs decrease, MR (though clinically beneficial) may not be financially worthwhile. However, MR implementation was found to produce significant savings for hospitals with average or high ADE rates.</div></div>\",\"PeriodicalId\":14835,\"journal\":{\"name\":\"Joint Commission journal on quality and patient safety\",\"volume\":\"51 6\",\"pages\":\"Pages 398-404\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-02-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Joint Commission journal on quality and patient safety\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1553725025000558\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Joint Commission journal on quality and patient safety","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1553725025000558","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Modeling Incremental Benefit of Medication Reconciliation on ICU Outcomes
Background
Medication errors such as medication discrepancies can occur in patients who are hospitalized and may result in adverse drug events (ADEs). Pharmacist-led medication reconciliation (MR) is an intervention that can be used to address medication discrepancies. Estimating the impact of MR in a medical setting is challenging to do experimentally. In this study, researchers implemented a mathematical model for estimating impact.
Methods
The authors modeled the effects of a series of incremental changes in MR completion on ADEs and conducted a cost-effectiveness analysis using a Markov chain model.
Results
In a 28-bed ICU, increasing the MR completion rate resulted in decreases in the total number of yearly ADEs by as many as 106, varying by the baseline ADE rate. The financial implications of increasing MR completion ranged from $27,808 in additional costs to $1,818,440 in savings on a yearly basis, depending on the baseline ADE rate and cost per ADE.
Conclusion
For institutions with low ADE rates, as MR completion increases and ADEs decrease, MR (though clinically beneficial) may not be financially worthwhile. However, MR implementation was found to produce significant savings for hospitals with average or high ADE rates.