Evaluation of Gaps in Direct Oral Anticoagulants (DOACs) Management: An Outpatient Underserved Clinic-based Analysis

Evaluation of Gaps in Direct Oral Anticoagulants (DOACs) Management: An Outpatient Underserved Clinic-based Analysis | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Evaluation of Gaps in Direct Oral Anticoagulants (DOACs) Management: An Outpatient Underserved Clinic-based Analysis Bader M. Alghamdi, Sara L Rogers This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6249588/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background. DOACs are widely used for stroke prevention and treatment of thromboembolism, but gaps in their management can lead to adverse outcomes. In outpatient, underserved clinics, challenges such as inappropriate dosing, lack of monitoring, and improper drug combinations may be more pronounced, necessitating evaluation to optimize patient care and reduce risks. Objective. This study assessed the appropriateness of DOAC use and dosing per FDA guidelines, considering renal function, hepatic function, and drug-drug interactions. Secondary objectives focused on evaluating inappropriate aspirin use alongside DOACs. Design. This was a single-center retrospective cohort study. Setting. The study was conducted at Texas A&M Health Family Care Clinic (12/24/2022–12/24/2023). Patients. Older than 18 years of age and had active prescription of DOAC (apixaban, dabigatran, edoxaban, or rivaroxaban). Measurements and Main Results. A total of 125 DOAC patients were included. Inappropriate dosing based on renal function occurred in 16% of cases. DOAC use was unsuitable in two patients with severe hepatic impairment. Major drug interactions resulted in two instances of inappropriate DOAC use. Additionally, about 61% of aspirin usage involved inappropriate combinations with DOACs, as shown in Figure 1. Conclusion. The study's findings indicate that anticoagulation management in our ambulatory care setting has the potential for further optimization. anticoagulant agent outpatient care quality improvement Figures Figure 1 1. Introduction DOACs offer several advantages over traditional anticoagulants like warfarin, making them increasingly popular in clinical practice. However, despite these advantages, DOACs are not without risks. Patients may still experience complications, such as bleeding events, particularly in populations with specific comorbidities or in those taking multiple medications. 1 The study from 2017 to 2019 revealed that anticoagulants, including DOACs, were significant contributors to emergency department visits due to adverse drug events, particularly among older adults at higher risk for complications. A notable proportion of these visits was linked to bleeding issues associated with anticoagulant therapy, highlighting the need for better monitoring and management strategies to enhance patient safety. 2 Root cause analyses of outpatient anticoagulation management often highlight key issues such as inadequate patient education, poor renal and hepatic function monitoring, and ineffective management of drug interactions. These gaps can result in inappropriate dosing and adverse events. 3 In rural and underserved areas, the management of DOACs is particularly challenging due to limited healthcare resources, fewer specialists, and inconsistent monitoring. As a result, rural patients may face a higher risk of inappropriate dosing and insufficient monitoring of renal function and drug interactions, both critical for safe DOAC use. Structured education for primary care providers and establishing better monitoring systems are essential for improving anticoagulation management in these communities. 4 , 5 The first step in developing an anticoagulation stewardship model involves conducting a gap analysis, which assesses current practices related to patient education, renal and hepatic function monitoring, and drug interaction management. This analysis helps identify deficiencies and allows healthcare providers to improve DOAC use, ensuring safe and effective anticoagulation management aligned with FDA recommendations and best practices. This approach can lead to improved patient outcomes, particularly in underserved rural settings. 6 2. Methodology 2.1. Study Design This was a retrospective analysis of patients on DOACs in an outpatient clinic setting. Patients who had an office visit at Texas A&M family care clinic between December 24, 2022, and December 24, 2023, and who had a DOAC listed on their home medication profile were identified through a query of clinic records. Patients were included in the analysis if they were older than 18 years of age and had been prescribed a DOAC (apixaban, dabigatran, edoxaban, or rivaroxaban). Patients were excluded if they were 18 or younger or did not have clinic office visits during active DOAC therapy. This study was approved by the Institutional Review Board of the study institution. 2.2. Data Collection Data were collected by the fourth-year pharmacy interns’ team members using a data collection form. A data collection standard of operation was provided, describing the data collection steps from the charts to ensure that a unified and accurate collection is performed. The de-identified data were entered into a password-protected Microsoft Office Excel version (16.89.1) spreadsheet maintained on a secure server. An ambulatory care pharmacy resident conducted random audits to provide quality assurance. Baseline patient characteristics collected included age, gender, role of the physician in the patient’s care, relevant past medical history, height, and weight. Information related to DOAC use was collected, including most recently prescribed DOAC, anticoagulation indication, dose, date of initiation, and prescriber. Additional information collected included the date of the office visit, monitoring parameters, prior anticoagulant use, concomitant medications, and laboratory data to evaluate renal function, hepatic function, and hemoglobin/hematocrit from the most recent DOAC prescription, on or before the most recent PCP office. If a patient had a history of use of multiple DOACs, the most recent DOAC prescribed was utilized. If multiple indications for anticoagulant use were possible, physician documentation was reviewed to assess the current indication for anticoagulation. If the most recent or previously used anticoagulant had been discontinued, the reason for discontinuation was assessed by manual review of physician documentation. Documentation of monitoring for renal and hepatic function. Creatinine clearance (CrCl) was calculated utilizing the Cockcroft-Gault equation. Actual body weight was used if a patient weighed less than his or her ideal body weight. Adjusted body weight was utilized if the patient was > 120% of the ideal body weight. 2.3. Objectives The primary objective was to evaluate whether DOAC use and dosing were appropriate based on FDA-labeled recommendations, considering renal function, hepatic function, and drug-drug interactions. The secondary objectives centered on examining the inappropriate use of aspirin in combination with DOACs within our patient cohort. 2.4. Analysis Dosing was evaluated based on currently available FDA-approved package labeling from the package insert. 7 – 9 Renal function was assessed based on serum creatinine and CrCl. Other factors such as age and weight for apixaban have been considered. Hepatic function was evaluated using Child-Pugh scores considering the following data for calculating Child-Pugh scores: bilirubin, albumin, alkaline phosphatase, AST, ALT, and INR if available. Drug-drug interaction was estimated based on agents that affect DOAC plasma concentrations primarily involving the cytochrome P450 (CYP3A4) enzyme system and P-glycoprotein (P-gp) transporters. 7 – 9 For the aspirin, we analyze the appropriate combination of DOAC and aspirin based on the indication listed in the aspirin FDA-approved package labeling. 10 All data including concomitant medications, medical history, and physician notes were taken from the index visit. The index visit is the visit associated with prescribing or refilling the DOAC and it was found on the same day of the DOAC prescribing and has physician information on anticoagulation prescription. The most recent lab results ordered during the index office visit were used for evaluation. In evaluating the documentation of monitoring laboratory tests, tests were considered appropriately documented if they had been obtained within 1 year of the index visit. Microsoft Office Excel version (16.89.1) was used for all statistical analysis. 3. Results 125 patients were identified for possible inclusion in the analysis, with a mean age of 70 years - 100 apixaban, two dabigatran, and 23 rivaroxaban. No patients have been prescribed edoxaban. The cohort consisted of 44.8% males and 55.2% females. The most common indication for anticoagulation was stroke prevention with NVAF (64.8%). The cases of patients were all handled by family medicine physicians or their residents. There were 12 new prescriptions, accounting for 9.6% of the total, and 113 refills, making up 90.4% of the total. Full baseline patient characteristics can be found in Table 1. In our cohort, 42% of patients had normal renal function, 31% had mild impairment, 19% had mild to moderate impairment, 2% had moderate to severe impairment, and 6% were classified as having end-stage renal disease (ESRD). Among the patients evaluated, 16% received DOAC doses that did not align with FDA-recommended dosing based on their renal function. Specifically, there were 9 cases of underdosing and 8 cases of overdosing. For apixaban, there were 13 cases of inappropriate dosing: six cases of underdosing where patients were given a reduced dose without meeting at least two of the three criteria required for dose reduction, and seven cases of overdosing where patients received a higher dose despite meeting two of the three criteria for a dose reduction. For rivaroxaban, there were four cases of inappropriate dosing: three cases of underdosing without any clear justification although had a normal renal function, and one case of overdosing, particularly in patients with ESRD, where a lower dose should have been prescribed. Among patients with hepatic impairment, 97% had mild impairment (Child-Pugh A), 2% had moderate impairment (Child-Pugh B), and 1% had severe impairment (Child-Pugh C). Of those assessed, there were 2 cases where DOACs were used: one involving apixaban and one involving rivaroxaban, both in patients with severe impairment (Child-Pugh C). According to FDA guidelines, alternative anticoagulation should be considered for these patients based on their hepatic function. For the drug-drug interactions among the identified interactions, two cases involved major interactions with strong CYP3A4 and P-gp inhibitors or inducers, leading to the need for dose reductions or the avoidance of therapy. However, there were 21 cases where patients on DOAC were concurrently taking dual P-gp and moderate CYP3A4 inhibitors. While these cases generally did not require dose reductions, careful monitoring for signs of bleeding was to be recommended. Out of 33 patients, 20 were taking both DOACs and aspirin without a documented FDA-approved indication for aspirin use. Among the 13 patients with valid indications for aspirin, seven were using it for secondary prevention of ischemic stroke, four for coronary artery disease, one for coronary stenting, and one for rheumatic fever. Overall, dosing accuracy was highest in patients with normal renal function and mild to moderate hepatic function. However, dosing errors were more frequent in patients with abnormal renal function and those over 75 years old. The patients with severe hepatic function didn’t get the right DOAC recommendation. 4. Discussion This study aimed to assess the prescribing patterns of direct DOACs in an underserved setting. Timely dose modifications are crucial to mitigating long-term bleeding and thrombotic risks. Our results underscore the importance of establishing a monitoring program to ensure optimal DOAC management in this patient population. These findings align with research from metropolitan areas, such as the study by Brigham and Women's Hospital, which reported the need for DOAC dose adjustments in approximately 10% of their patient cohort—a rate similar to the inappropriate dosing identified in our institution. 11 Moreover, primary care providers, especially in rural areas, are facing increased patient loads due to the growing prevalence of chronic conditions, contributing to physician burnout. Our study highlights that during patient encounters, physicians often have limited time to address all aspects of DOAC maintenance and monitoring. 5 , 6 As shown in Table 1 , nearly all patients in our study had two or more chronic conditions being managed during the same visit. The heavy workloads, extended working hours, and administrative burdens further contribute to the rising rates of physician burnout, particularly in rural and underserved areas where shortages in family care physicians are more pronounced. This situation underscores the critical need for a more structured, pharmacist-led monitoring approach to support DOAC therapy in such settings. 11 , 12 Despite the valuable insights gained from this study, several limitations must be considered. One limitation is that the study focused solely on dosing patterns, and due to its retrospective design, we were unable to assess important factors such as patient adherence, clinical outcomes like bleeding or thromboembolic events, or gaps in DOAC education. However, the development of a comprehensive monitoring program for DOAC management would need to address all these aspects, as incorporating them would likely result in improved outcomes in terms of the safe and effective use of DOACs, as supported by other research. 13 Our study provides a foundational basis for the development of an anticoagulation stewardship model. Conducting a gap analysis is the initial step in establishing an effective anticoagulation stewardship program, and additional evidence on both prescribing patterns and clinical outcomes will be necessary to identify the optimal approach for creating a successful model tailored to specific healthcare settings. 6 The rural setting provides a unique perspective on anticoagulation management, with challenges and opportunities that may vary from those in other healthcare environments. One notable challenge is the underappreciation of the need for improved DOAC management, stemming from a common misconception among both patients and providers that DOACs carry less risk than warfarin, which could result in unintended adverse outcomes. 14 Although our study provides valuable insights into DOAC usage and prescribing practices, additional research is needed to enhance anticoagulation management strategies across various healthcare settings by incorporating newly developed DOAC monitoring models. 5. Conclusion Our study underscores the critical need for an anticoagulation stewardship program, particularly focusing on the maintenance monitoring of DOACs in outpatient settings. Our findings reveal a substantial number of patients receiving inappropriate DOAC doses, primarily due to renal and hepatic impairment, as well as unaddressed drug-drug interactions. The prevalent use of aspirin without a documented FDA-approved indication further complicates patient safety by increasing the risk of bleeding. Declarations Acknowledgments This study did not receive external funding. I would like to thank Dr. Andrew S Tenpas, Dr. Samantha Ohendalski, and Dr. Alexis Moreno for their great contribution to this study. Disclosure This work was presented as a poster at the Texas Society of Health-System Pharmacists 2024 (TSHP) conference. The authors report no other conflicts of interest in this work. Ethics approval and consent to participate This study did not involve human participants, and therefore, ethical approval and informed consent were not required. Funding This research received no external funding. Author contributions BMA and SLR designed the study, analyzed study data, and drafted the first version of the manuscript. All authors have read, revised, and approved the final submitted manuscript. Data availability statement Research data are not shared due to the privacy of protected health information. Conflict of Interest statement : All authors declare that they have no conflicts of interest to disclose. References Mantha, S., Cabral, K., & Ansell, J. (2013). New avenues for anticoagulation in atrial fibrillation. Clinical Pharmacology & Therapeutics, 93(1), 68-77. Budnitz, D. S., Shehab, N., Lovegrove, M. C., Geller, A. I., Lind, J. N., & Pollock, D. A. (2021). US emergency department visits attributed to medication harms, 2017-2019. Jama, 326(13), 1299-1309. Joint Commission. (2018). National patient safety goal for anticoagulant therapy. R3 Report, 19, 1-4. Derington, C. G., Goodrich, G. K., Xu, S., Clark, N. P., Reynolds, K., An, J., ... & King, J. B. (2023). Association of Direct Oral Anticoagulation Management Strategies With Clinical Outcomes for Adults With Atrial Fibrillation. JAMA Network Open, 6(7), e2321971-e2321971. Babawarun, O., Okolo, C. A., Arowoogun, J. O., Adeniyi, A. O., & Chidi, R. (2024). Healthcare managerial challenges in rural and underserved areas: A Review. World Journal of Biology Pharmacy and Health Sciences, 17(2), 323-330. May, J. E., Triller, D. M., Inglis, L., Rose, A. E., DiLorenzo‐Agramonte, V., Burnett, A. E., ... & Ansell, J. E. (2024). Securing administrative leadership commitment for anticoagulation stewardship programs. Journal of the American College of Clinical Pharmacy, 7(4), 384-394. Bristol-Myers Squibb Pfizer Inc. Apixaban (Eliquis) Prescribing Information. Published online June 2019. Accessed October 16, 2024. https://packageinserts.bms.com/pi/pi_eliquis.pdf Boehringer Ingelheim Pharmaceuticals Inc. Dabigatran (Pradaxa) Prescribing Information. Published online March 2018. Accessed October 16, 2024. https://docs.boehringer-ingelheim.com/Prescribing%20Information/PIs/Pradaxa/Pradaxa.pdf Janssen Pharmaceuticals, Inc. Rivaroxaban (Xarelto) Prescribing Information. Published online October 2019. Accessed October 16, 2024. http://www.janssenlabels.com/package-insert/product-monograph/prescribing-information/XARELTO-pi.pdf Janssen Pharmaceutical Companies. Aspirin (Asirin) Prescribing Information. Published online January 2013. Accessed October 16, 2024. https://www.accessdata.fda.gov/drugsatfda_docs/label/2013/203697Orig1s000lbl.pdf Sylvester, K. W., Chen, A., Lewin, A., Fanikos, J., Goldhaber, S. Z., & Connors, J. M. (2022). Optimization of DOAC management services in a centralized anticoagulation clinic. Research and Practice in Thrombosis and Haemostasis , 6 (3), e12696. Allen, A. L., Lucas, J., Parra, D., Spoutz, P., Kibert, J. L., Ragheb, B., ... & Sipe, A. (2021). Shifting the paradigm: a population health approach to the management of direct oral anticoagulants. Burnett, A. E., & Barnes, G. D. (2022). A call to action for anticoagulation stewardship. Research and Practice in Thrombosis and Haemostasis , 6 (5). Osasu, Y. M., Cooper, R., & Mitchell, C. (2021). Patients’ and clinicians’ perceptions of oral anticoagulants in atrial fibrillation: a systematic narrative review and meta-analysis. BMC family practice , 22 , 1-11. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6249588","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":430504401,"identity":"78618c94-e5c3-4db7-9592-daf69c2ab76e","order_by":0,"name":"Bader M. 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Introduction","content":"\u003cp\u003eDOACs offer several advantages over traditional anticoagulants like warfarin, making them increasingly popular in clinical practice. However, despite these advantages, DOACs are not without risks. Patients may still experience complications, such as bleeding events, particularly in populations with specific comorbidities or in those taking multiple medications. \u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eThe study from 2017 to 2019 revealed that anticoagulants, including DOACs, were significant contributors to emergency department visits due to adverse drug events, particularly among older adults at higher risk for complications. A notable proportion of these visits was linked to bleeding issues associated with anticoagulant therapy, highlighting the need for better monitoring and management strategies to enhance patient safety. \u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e Root cause analyses of outpatient anticoagulation management often highlight key issues such as inadequate patient education, poor renal and hepatic function monitoring, and ineffective management of drug interactions. These gaps can result in inappropriate dosing and adverse events. \u003csup\u003e\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eIn rural and underserved areas, the management of DOACs is particularly challenging due to limited healthcare resources, fewer specialists, and inconsistent monitoring. As a result, rural patients may face a higher risk of inappropriate dosing and insufficient monitoring of renal function and drug interactions, both critical for safe DOAC use. Structured education for primary care providers and establishing better monitoring systems are essential for improving anticoagulation management in these communities. \u003csup\u003e\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e,\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eThe first step in developing an anticoagulation stewardship model involves conducting a gap analysis, which assesses current practices related to patient education, renal and hepatic function monitoring, and drug interaction management. This analysis helps identify deficiencies and allows healthcare providers to improve DOAC use, ensuring safe and effective anticoagulation management aligned with FDA recommendations and best practices. This approach can lead to improved patient outcomes, particularly in underserved rural settings. \u003csup\u003e\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e"},{"header":"2. Methodology","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1. Study Design\u003c/h2\u003e \u003cp\u003eThis was a retrospective analysis of patients on DOACs in an outpatient clinic setting. Patients who had an office visit at Texas A\u0026amp;M family care clinic between December 24, 2022, and December 24, 2023, and who had a DOAC listed on their home medication profile were identified through a query of clinic records. Patients were included in the analysis if they were older than 18 years of age and had been prescribed a DOAC (apixaban, dabigatran, edoxaban, or rivaroxaban). Patients were excluded if they were 18 or younger or did not have clinic office visits during active DOAC therapy. This study was approved by the Institutional Review Board of the study institution.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2. Data Collection\u003c/h2\u003e \u003cp\u003eData were collected by the fourth-year pharmacy interns\u0026rsquo; team members using a data collection form. A data collection standard of operation was provided, describing the data collection steps from the charts to ensure that a unified and accurate collection is performed. The de-identified data were entered into a password-protected Microsoft Office Excel version (16.89.1) spreadsheet maintained on a secure server. An ambulatory care pharmacy resident conducted random audits to provide quality assurance. Baseline patient characteristics collected included age, gender, role of the physician in the patient\u0026rsquo;s care, relevant past medical history, height, and weight. Information related to DOAC use was collected, including most recently prescribed DOAC, anticoagulation indication, dose, date of initiation, and prescriber. Additional information collected included the date of the office visit, monitoring parameters, prior anticoagulant use, concomitant medications, and laboratory data to evaluate renal function, hepatic function, and hemoglobin/hematocrit from the most recent DOAC prescription, on or before the most recent PCP office. If a patient had a history of use of multiple DOACs, the most recent DOAC prescribed was utilized. If multiple indications for anticoagulant use were possible, physician documentation was reviewed to assess the current indication for anticoagulation. If the most recent or previously used anticoagulant had been discontinued, the reason for discontinuation was assessed by manual review of physician documentation. Documentation of monitoring for renal and hepatic function. Creatinine clearance (CrCl) was calculated utilizing the Cockcroft-Gault equation. Actual body weight was used if a patient weighed less than his or her ideal body weight. Adjusted body weight was utilized if the patient was \u0026gt;\u0026thinsp;120% of the ideal body weight.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.3. Objectives\u003c/h2\u003e \u003cp\u003eThe primary objective was to evaluate whether DOAC use and dosing were appropriate based on FDA-labeled recommendations, considering renal function, hepatic function, and drug-drug interactions. The secondary objectives centered on examining the inappropriate use of aspirin in combination with DOACs within our patient cohort.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e2.4. Analysis\u003c/h2\u003e \u003cp\u003eDosing was evaluated based on currently available FDA-approved package labeling from the package insert. \u003csup\u003e\u003cspan additionalcitationids=\"CR8\" citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u003c/sup\u003e Renal function was assessed based on serum creatinine and CrCl. Other factors such as age and weight for apixaban have been considered. Hepatic function was evaluated using Child-Pugh scores considering the following data for calculating Child-Pugh scores: bilirubin, albumin, alkaline phosphatase, AST, ALT, and INR if available. Drug-drug interaction was estimated based on agents that affect DOAC plasma concentrations primarily involving the cytochrome P450 (CYP3A4) enzyme system and P-glycoprotein (P-gp) transporters.\u003csup\u003e\u003cspan additionalcitationids=\"CR8\" citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u003c/sup\u003e For the aspirin, we analyze the appropriate combination of DOAC and aspirin based on the indication listed in the aspirin FDA-approved package labeling. \u003csup\u003e\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eAll data including concomitant medications, medical history, and physician notes were taken from the index visit. The index visit is the visit associated with prescribing or refilling the DOAC and it was found on the same day of the DOAC prescribing and has physician information on anticoagulation prescription. The most recent lab results ordered during the index office visit were used for evaluation. In evaluating the documentation of monitoring laboratory tests, tests were considered appropriately documented if they had been obtained within 1 year of the index visit. Microsoft Office Excel version (16.89.1) was used for all statistical analysis.\u003c/p\u003e \u003c/div\u003e"},{"header":"3. Results","content":"\u003cp\u003e125 patients were identified for possible inclusion in the analysis, with a mean age of 70 years - 100 apixaban, two dabigatran, and 23 rivaroxaban. No patients have been prescribed edoxaban. The cohort consisted of 44.8% males and 55.2% females. The most common indication for anticoagulation was stroke prevention with NVAF (64.8%). The cases of patients were all handled by family medicine physicians or their residents. There were 12 new prescriptions, accounting for 9.6% of the total, and 113 refills, making up 90.4% of the total. Full baseline patient characteristics can be found in Table 1.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cimg 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\" style=\"width: 797px; height: 706.758px;\" width=\"797\" height=\"706.758\"\u003e\u003c/p\u003e\n\u003cp\u003eIn our cohort, 42% of patients had normal renal function, 31% had mild impairment, 19% had mild to moderate impairment, 2% had moderate to severe impairment, and 6% were classified as having end-stage renal disease (ESRD). Among the patients evaluated, 16% received DOAC doses that did not align with FDA-recommended dosing based on their renal function. Specifically, there were 9 cases of underdosing and 8 cases of overdosing.\u003c/p\u003e\n\u003cp\u003eFor\u0026nbsp;apixaban, there were\u0026nbsp;13 cases\u0026nbsp;of inappropriate dosing:\u0026nbsp;six cases\u0026nbsp;of underdosing where patients were given a reduced dose without meeting at least two of the three criteria required for dose reduction, and\u0026nbsp;seven cases\u0026nbsp;of overdosing where patients received a higher dose despite meeting two of the three criteria for a dose reduction. For\u0026nbsp;rivaroxaban, there were\u0026nbsp;four cases\u0026nbsp;of inappropriate dosing:\u0026nbsp;three cases\u0026nbsp;of underdosing without any clear justification although had a normal renal function, and\u0026nbsp;one case\u0026nbsp;of overdosing, particularly in patients with ESRD, where a lower dose should have been prescribed.\u003c/p\u003e\n\u003cp\u003eAmong patients with hepatic impairment, 97% had mild impairment (Child-Pugh A), 2% had moderate impairment (Child-Pugh B), and 1% had severe impairment (Child-Pugh C). Of those assessed, there were 2 cases where DOACs were used: one involving apixaban and one involving rivaroxaban, both in patients with severe impairment (Child-Pugh C). According to FDA guidelines, alternative anticoagulation should be considered for these patients based on their hepatic function.\u003c/p\u003e\n\u003cp\u003eFor the drug-drug interactions among the identified interactions, two cases involved major interactions with strong CYP3A4 and P-gp inhibitors or inducers, leading to the need for dose reductions or the avoidance of therapy. However, there were 21 cases where patients on DOAC were concurrently taking dual P-gp and moderate CYP3A4 inhibitors. While these cases generally did not require dose reductions, careful monitoring for signs of bleeding was to be recommended.\u003c/p\u003e\n\u003cp\u003eOut of 33 patients, 20 were taking both DOACs and aspirin without a documented FDA-approved indication for aspirin use. Among the 13 patients with valid indications for aspirin, seven were using it for secondary prevention of ischemic stroke, four for coronary artery disease, one for coronary stenting, and one for rheumatic fever.\u003c/p\u003e\n\u003cp\u003eOverall, dosing accuracy was highest in patients with normal renal function and mild to moderate hepatic function. However, dosing errors were more frequent in patients with abnormal renal function and those over 75 years old. The patients with severe hepatic function didn\u0026rsquo;t get the right DOAC recommendation.\u0026nbsp;\u003c/p\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eThis study aimed to assess the prescribing patterns of direct DOACs in an underserved setting. Timely dose modifications are crucial to mitigating long-term bleeding and thrombotic risks. Our results underscore the importance of establishing a monitoring program to ensure optimal DOAC management in this patient population. These findings align with research from metropolitan areas, such as the study by Brigham and Women's Hospital, which reported the need for DOAC dose adjustments in approximately 10% of their patient cohort\u0026mdash;a rate similar to the inappropriate dosing identified in our institution. \u003csup\u003e\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eMoreover, primary care providers, especially in rural areas, are facing increased patient loads due to the growing prevalence of chronic conditions, contributing to physician burnout. Our study highlights that during patient encounters, physicians often have limited time to address all aspects of DOAC maintenance and monitoring.\u003csup\u003e\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e,\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u003c/sup\u003e As shown in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, nearly all patients in our study had two or more chronic conditions being managed during the same visit. The heavy workloads, extended working hours, and administrative burdens further contribute to the rising rates of physician burnout, particularly in rural and underserved areas where shortages in family care physicians are more pronounced. This situation underscores the critical need for a more structured, pharmacist-led monitoring approach to support DOAC therapy in such settings.\u003csup\u003e\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e,\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eDespite the valuable insights gained from this study, several limitations must be considered. One limitation is that the study focused solely on dosing patterns, and due to its retrospective design, we were unable to assess important factors such as patient adherence, clinical outcomes like bleeding or thromboembolic events, or gaps in DOAC education. However, the development of a comprehensive monitoring program for DOAC management would need to address all these aspects, as incorporating them would likely result in improved outcomes in terms of the safe and effective use of DOACs, as supported by other research.\u003csup\u003e\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eOur study provides a foundational basis for the development of an anticoagulation stewardship model. Conducting a gap analysis is the initial step in establishing an effective anticoagulation stewardship program, and additional evidence on both prescribing patterns and clinical outcomes will be necessary to identify the optimal approach for creating a successful model tailored to specific healthcare settings.\u003csup\u003e\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eThe rural setting provides a unique perspective on anticoagulation management, with challenges and opportunities that may vary from those in other healthcare environments. One notable challenge is the underappreciation of the need for improved DOAC management, stemming from a common misconception among both patients and providers that DOACs carry less risk than warfarin, which could result in unintended adverse outcomes.\u003csup\u003e\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eAlthough our study provides valuable insights into DOAC usage and prescribing practices, additional research is needed to enhance anticoagulation management strategies across various healthcare settings by incorporating newly developed DOAC monitoring models.\u003c/p\u003e"},{"header":"5. Conclusion","content":"\u003cp\u003eOur study underscores the critical need for an anticoagulation stewardship program, particularly focusing on the maintenance monitoring of DOACs in outpatient settings. Our findings reveal a substantial number of patients receiving inappropriate DOAC doses, primarily due to renal and hepatic impairment, as well as unaddressed drug-drug interactions. The prevalent use of aspirin without a documented FDA-approved indication further complicates patient safety by increasing the risk of bleeding.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study did not receive external funding. \u0026nbsp;I would like to thank Dr. Andrew S Tenpas, Dr. Samantha Ohendalski, and Dr. Alexis Moreno for their great contribution to this study.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDisclosure\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was presented as a poster at the Texas Society of Health-System Pharmacists 2024 (TSHP) conference. The authors report no other conflicts of interest in this work.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study did not involve human participants, and therefore, ethical approval and informed consent were not required.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research received no external funding.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBMA and SLR designed the study, analyzed study data, and drafted the first version of the manuscript. All authors have read, revised, and approved the final submitted manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eResearch data are not shared due to the privacy of protected health information.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of Interest statement\u003c/strong\u003e\u003cstrong\u003e:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll authors declare that they have no conflicts of interest to disclose.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eMantha, S., Cabral, K., \u0026amp; Ansell, J. (2013). New avenues for anticoagulation in atrial fibrillation. Clinical Pharmacology \u0026amp; Therapeutics, 93(1), 68-77.\u003c/li\u003e\n\u003cli\u003eBudnitz, D. S., Shehab, N., Lovegrove, M. C., Geller, A. I., Lind, J. N., \u0026amp; Pollock, D. A. (2021). US emergency department visits attributed to medication harms, 2017-2019. Jama, 326(13), 1299-1309.\u003c/li\u003e\n\u003cli\u003eJoint Commission. (2018). National patient safety goal for anticoagulant therapy. R3 Report, 19, 1-4.\u003c/li\u003e\n\u003cli\u003eDerington, C. G., Goodrich, G. K., Xu, S., Clark, N. P., Reynolds, K., An, J., ... \u0026amp; King, J. B. (2023). Association of Direct Oral Anticoagulation Management Strategies With Clinical Outcomes for Adults With Atrial Fibrillation. JAMA Network Open, 6(7), e2321971-e2321971.\u003c/li\u003e\n\u003cli\u003eBabawarun, O., Okolo, C. A., Arowoogun, J. O., Adeniyi, A. O., \u0026amp; Chidi, R. (2024). Healthcare managerial challenges in rural and underserved areas: A Review. World Journal of Biology Pharmacy and Health Sciences, 17(2), 323-330.\u003c/li\u003e\n\u003cli\u003eMay, J. E., Triller, D. M., Inglis, L., Rose, A. E., DiLorenzo‐Agramonte, V., Burnett, A. E., ... \u0026amp; Ansell, J. E. (2024). Securing administrative leadership commitment for anticoagulation stewardship programs. Journal of the American College of Clinical Pharmacy, 7(4), 384-394.\u003c/li\u003e\n\u003cli\u003eBristol-Myers Squibb Pfizer Inc. Apixaban (Eliquis) Prescribing Information. Published online June 2019. Accessed October 16, 2024. https://packageinserts.bms.com/pi/pi_eliquis.pdf\u003c/li\u003e\n\u003cli\u003eBoehringer Ingelheim Pharmaceuticals Inc. Dabigatran (Pradaxa) Prescribing Information. Published online March 2018. Accessed October 16, 2024. https://docs.boehringer-ingelheim.com/Prescribing%20Information/PIs/Pradaxa/Pradaxa.pdf \u003c/li\u003e\n\u003cli\u003eJanssen Pharmaceuticals, Inc. Rivaroxaban (Xarelto) Prescribing Information. Published online October 2019. Accessed October 16, 2024. http://www.janssenlabels.com/package-insert/product-monograph/prescribing-information/XARELTO-pi.pdf \u003c/li\u003e\n\u003cli\u003eJanssen Pharmaceutical Companies. Aspirin (Asirin) Prescribing Information. Published online January 2013. Accessed October 16, 2024. https://www.accessdata.fda.gov/drugsatfda_docs/label/2013/203697Orig1s000lbl.pdf\u003c/li\u003e\n\u003cli\u003eSylvester, K. W., Chen, A., Lewin, A., Fanikos, J., Goldhaber, S. Z., \u0026amp; Connors, J. M. (2022). Optimization of DOAC management services in a centralized anticoagulation clinic. \u003cem\u003eResearch and Practice in Thrombosis and Haemostasis\u003c/em\u003e, \u003cem\u003e6\u003c/em\u003e(3), e12696.\u003c/li\u003e\n\u003cli\u003eAllen, A. L., Lucas, J., Parra, D., Spoutz, P., Kibert, J. L., Ragheb, B., ... \u0026amp; Sipe, A. (2021). Shifting the paradigm: a population health approach to the management of direct oral anticoagulants.\u003c/li\u003e\n\u003cli\u003eBurnett, A. E., \u0026amp; Barnes, G. D. (2022). A call to action for anticoagulation stewardship. \u003cem\u003eResearch and Practice in Thrombosis and Haemostasis\u003c/em\u003e, \u003cem\u003e6\u003c/em\u003e(5).\u003c/li\u003e\n\u003cli\u003eOsasu, Y. M., Cooper, R., \u0026amp; Mitchell, C. (2021). Patients\u0026rsquo; and clinicians\u0026rsquo; perceptions of oral anticoagulants in atrial fibrillation: a systematic narrative review and meta-analysis. \u003cem\u003eBMC family practice\u003c/em\u003e, \u003cem\u003e22\u003c/em\u003e, 1-11.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"anticoagulant agent, outpatient care, quality improvement","lastPublishedDoi":"10.21203/rs.3.rs-6249588/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6249588/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground. \u003c/strong\u003eDOACs are widely used for stroke prevention and treatment of thromboembolism, but gaps in their management can lead to adverse outcomes. In outpatient, underserved clinics, challenges such as inappropriate dosing, lack of monitoring, and improper drug combinations may be more pronounced, necessitating evaluation to optimize patient care and reduce risks.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eObjective.\u003c/strong\u003e This study assessed the appropriateness of DOAC use and dosing per FDA guidelines, considering renal function, hepatic function, and drug-drug interactions. Secondary objectives focused on evaluating inappropriate aspirin use alongside DOACs.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDesign. \u003c/strong\u003eThis was a single-center retrospective cohort study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSetting. \u003c/strong\u003eThe study was conducted at Texas A\u0026amp;M Health Family Care Clinic (12/24/2022–12/24/2023).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePatients. \u003c/strong\u003eOlder than 18 years of age and had active prescription of DOAC (apixaban, dabigatran, edoxaban, or rivaroxaban).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMeasurements and Main Results.\u003c/strong\u003e A total of 125 DOAC patients were included. Inappropriate dosing based on renal function occurred in 16% of cases. DOAC use was unsuitable in two patients with severe hepatic impairment. Major drug interactions resulted in two instances of inappropriate DOAC use. Additionally, about 61% of aspirin usage involved inappropriate combinations with DOACs, as shown in Figure 1.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion. \u003c/strong\u003eThe study's findings indicate that anticoagulation management in our ambulatory care setting has the potential for further optimization.\u003c/p\u003e","manuscriptTitle":"Evaluation of Gaps in Direct Oral Anticoagulants (DOACs) Management: An Outpatient Underserved Clinic-based Analysis","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-03-20 09:52:47","doi":"10.21203/rs.3.rs-6249588/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"c83c69a2-9817-4764-9b38-568ffaec3482","owner":[],"postedDate":"March 20th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-03-20T09:52:50+00:00","versionOfRecord":[],"versionCreatedAt":"2025-03-20 09:52:47","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6249588","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6249588","identity":"rs-6249588","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}