Shifting the Paradigm: A Population Health Approach to the Management of Direct Oral Anticoagulants.

Over the past decade, direct oral anticoagulants (DOACs) have contributed to a major paradigm shift in thrombosis management, replacing vitamin K antagonists as the most commonly prescribed anticoagulants in many countries. While DOACs provide distinct advantages over warfarin (eg, convenience, simplicity, and safety), they are frequently associated with inappropriate prescribing and adverse events. These events have prompted regulatory agencies to mandate oversight, which individual institutions may find difficult to comply with given limited resources. Veterans Health Administration (VHA) has leveraged technology to develop the DOAC Population Management Tool (PMT) to address these challenges. This tool has empowered VHA to update a 60-year standard of care from one-to-one provider-to-patient anticoagulation monitoring to a population-based management approach. The DOAC PMT allows for the oversight of all patients prescribed DOACs and leads to intervention only when clinically indicated. Using the DOAC PMT, facilities across VHA have maximized DOAC oversight while minimizing resource usage. Herein, we discuss how the DOAC PMT was conceived, developed, and implemented, along with the challenges encountered throughout the process. Additionally, we share the impact of the DOAC PMT across VHA, and the potential of this approach beyond anticoagulation and VHA.

Impact of a Direct Oral Anticoagulant Population Management Tool on Anticoagulation Therapy Monitoring in Clinical Practice.

Background: The optimal monitoring and follow-up strategy for long-term direct oral anticoagulant (DOAC) therapy has not been established. Historically, at our medical center, DOAC patients were referred to a clinical pharmacy specialist managed anticoagulation clinic (AC) for monitoring via regularly scheduled encounters (face-to-face or telephone). Objective: To determine if implementation of a DOAC Population Management Tool (PMT) designed to identify patients who most likely require clinical review and possibly intervention, would improve the efficacy (interventions per patient) and efficiency (time invested to generate an intervention) of monitoring over AC practices. Methods: The DOAC PMT group included patients flagged as potentially having a dosing issue or history of valve replacement. The AC group included patients who were scheduled for routine DOAC follow-up. The quantity and character of interventions made were prospectively recorded and compared. Results: A total of 399 patients were included. Data were collected for 131 patients identified by the DOAC PMT, resulting in a review of 170 flags with a total of 94 interventions or 0.55 interventions per flag reviewed. For the AC group, 268 patients were evaluated, leading to 53 interventions or 0.20 interventions per patient encounter (P < 0.001 for comparison). The time to generate an intervention was 16 minutes in the DOAC PMT versus 64 minutes for the AC group. Conclusion and Relevance: A population-based approach to DOAC monitoring represents a more effective and efficient strategy to reduce missed opportunities for interventions between follow-up appointments while also increasing clinic access, particularly for patients who require immediate attention.

Intravenous Insulin Infusion Protocol Compared With Subcutaneous Insulin for the Management of Hyperglycemia in Critically Ill Adults.

Background: The use of an intravenous insulin infusion protocol (IIP) is recommended for management of hyperglycemia in the intensive care unit (ICU); however, limited evidence of comparison has been made with subcutaneous (SC) insulin regimens. Objective: This study aims to evaluate the safety and effectiveness of an IIP compared with SC insulin regimens in an ICU patient sample since the implementation of an IIP using a computerized clinical-decision support tool. Methods: This investigation was a retrospective cohort study of patients who were treated for hyperglycemia while admitted to any of the ICUs at a Veterans Affairs Medical Center. Patients who were treated with either an IIP or a scheduled SC insulin regimen between May 1, 2015, and May 25, 2016, were included for evaluation. Results: Blood glucose (BG) was within the normoglycemia range (70-180 mg/dL) for 63.0% of the measurements in patients treated with an IIP (n = 171) compared with 45.7% in those treated with SC insulin regimens (n = 121; P < 0.01). Overall, patients managed with an IIP had a lower proportion of hypoglycemic BG measurements (1.2% vs 2.1%, P < 0.01), a lower proportion of hyperglycemic BG measurements (35.8% vs 52.2%, P < 0.01), and a lower mean BG (172.4 vs 194.3 mg/dL, P < 0.01). Conclusion and Relevance: The results of this study suggest that an IIP in a sample of adult ICU patients was associated with better BG control and lower occurrence of hypoglycemia compared with SC insulin regimens.

The relationship between four health-related quality-of-life indicators and use of mammography and Pap test screening in US women.

PURPOSE: Limited evidence is available to explain the role of four components of health-related quality of life (HRQoL) on breast and cervical cancer screening. The objective of this study was to determine the relationship between four HRQoL aspects and use of mammography and Pap test screening in US women. METHODS: Data were obtained from the 2012 Behavioral Risk Factor Surveillance System (BRFSS). The outcome variables were receiving mammogram <2 versus ≥2 years in women aged 50-74 years, and receiving Pap test <3 versus ≥3 years in women aged 18-64 years. Eight logistic regression models were conducted to test the role of four HRQoL aspects (general health status, physical HRQoL, mental HRQoL, and activity limitation) on the two screening variables, after adjusting for covariates. Statistical analysis accounted for the complex sampling design of the BRFSS, and the a priori alpha error was set at p ≤ 0.05. RESULTS: Among respondents, approximately 74 and 78 % of the women received mammography and Pap test, respectively. Three HRQoL aspects (general health status, physical HRQoL, and activity limitation) were significantly associated with mammography use (all p values < 0.05), whereas two HRQoL aspects (general health status and physical HRQoL) were significantly associated with Pap test (p values ≤ 0.05). All significant relationships demonstrated higher cancer screening rates among individuals with better HRQoL. CONCLUSIONS: HRQoL is an important factor associated with use of mammography and Pap test. Future studies should explore the mechanisms associated with an individual's HRQoL and use HRQoL assessment as an avenue to influence adherence to use of mammography and Pap tests.