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1.
J Manag Care Spec Pharm ; 30(5): 456-464, 2024 May.
Article in English | MEDLINE | ID: mdl-38701031

ABSTRACT

BACKGROUND: The Defense Health Agency comprises more than 700 military medical, dental, and veterinary facilities and provides care to more than 9.6 million beneficiaries. As medication experts, pharmacists identify opportunities to optimize medication therapy, reduce cost, and increase readiness to support the Defense Health Agency's mission. The Tripler Pilot Project and the Army Polypharmacy Program were used to establish a staffing model of 1 clinical pharmacist for every 6,500 enrolled beneficiaries. No large-scale cost-benefit study within the military health care system has been done, which documents the number of clinical interventions and uses established cost-avoidance (CA) data, to determine the cost-benefit and return on investment (ROI) for clinical pharmacists working in the medical treatment facilities. OBJECTIVE: To validate the patient-centered medical home staffing model across the military health care system using the Tripler Pilot Project results to provide a cost-benefit analysis with an ROI. The secondary goal is to describe the interventions, staffing levels, and US Department of Defense-specific requirements impacting the provision of clinical pharmacy. METHODS: A retrospective analysis of 3 years of encounters by clinical pharmacists in which an intervention was documented in the Tri-Service Workflow (TSWF) form as part of the electronic health record was completed. The analysis used 6 steps to assign CA intervention types and to prevent duplication and overestimation of the ROI. The absolute number of clinical pharmacists was determined using workload criteria defined as at least 20 encounters per month for at least 3 months of each calendar year. The number of clinical pharmacist full-time employees (FTEs) was determined by dividing the number of total active months by 12 months. Attrition was calculated comparing the presence of a unique provider identification between calendar years. The ROI range was calculated by dividing the CA by the total cost of clinical pharmacists using the variables' raw and extrapolated CA based on percentage of documentation template usage and the active clinical pharmacist calculation (absolute and FTE-based). RESULTS: Between January 1, 2017, and December 31, 2019, a total of 1,069,846 encounters by clinical pharmacists were documented in the electronic health record. The TSWF Alternative Input Method form was used by pharmacists to document 616,942 encounters. Forty-three percent of TSWF documented encounters had at least 1 CA intervention. The absolute number of clinical pharmacists associated with a documented encounter in any medical treatment facility ranged from 404 in 2017 to 374 in 2018 and the clinical pharmacist FTEs ranged from 324 in 2017 to 314 in 2019. Annual attrition rates for clinical pharmacists ranged from 15% to 20% (58 to 81 clinical pharmacists) annually. The total CA range was $329,166,543-$534,014,494. The ROI range was between $2 and $4 per dollar spent. CONCLUSIONS: This analysis demonstrated that ambulatory care clinical pharmacists in the Military Health System bring value through a positive ROI. Our study also identified a potential shortage of clinical pharmacists within the Air Force and Navy branches impacting medication management. This can have a negative impact on the readiness of service members, one of the leading priorities of the US Department of Defense.


Subject(s)
Cost-Benefit Analysis , Pharmacists , Humans , Pharmacists/economics , Pilot Projects , Retrospective Studies , Pharmacy Service, Hospital/economics , Pharmacy Service, Hospital/organization & administration , Male , United States , Professional Role , Female , Patient-Centered Care/economics , Middle Aged , Adult , Military Health Services/economics , Military Health/economics
2.
Ethn Health ; 25(6): 888-896, 2020 08.
Article in English | MEDLINE | ID: mdl-29724114

ABSTRACT

Introduction: It is well documented in the US civilian healthcare system that race is correlated with different outcomes for ischemic stroke patients. That healthcare system has wide variations in access to and quality of care. In contrast, the US military healthcare system (MHS) a universal healthcare system where every member has access to the same healthcare benefits. Do racial disparities evident in the civilian healthcare system transfer to the MHS? Methods: Data was collected from the MHS Military Mart (M2) database from calendar years 2010 through 2015. All adult patients with a primary diagnosis of ischemic stroke upon discharge were reviewed. Race was compared across primary outcomes of: (1) IV tPA administration and (2) Disposition destination 'poor disposition destination or in-hospital mortality'. And secondary outcomes of: (1) Total cost of hospitalization and (2) Length of hospital stay. Relevant demographic and co-morbidities were adjusted with regression analysis. Results: A total of 3623 patients met this study's parameters. Race was identified in 2661 (73.5%) admissions. Racial composition of this patient sample was: White 1767 (48.8%), African Americans 619 (17.1%), Asian 275 (7.6%), Other or Unknown 962 (26.5%). There was no correlation between race and administration of IV tPA, poor disposition destination or in-hospital mortality. There was a correlation between African Americans and increased cost of hospitalization. This finding was correlated with costs for radiological studies but was not correlated with any increase in the length of stay. Conclusion: Racial disparities evident in the civilian healthcare system do not appear to transfer the universal healthcare system represented by the MHS. Universal healthcare mitigates racial disparities in ischemic stroke admissions.


Subject(s)
Black or African American/statistics & numerical data , Healthcare Disparities/ethnology , Healthcare Disparities/statistics & numerical data , Military Health/economics , Stroke , Universal Health Care , Aged , Female , Healthcare Disparities/economics , Hospital Mortality/ethnology , Humans , Length of Stay/economics , Male , Middle Aged , Stroke/economics , Stroke/ethnology
3.
Prenat Diagn ; 39(6): 448-455, 2019 05.
Article in English | MEDLINE | ID: mdl-30883831

ABSTRACT

The prenatal genetic counseling process may be influenced by the patient's insurance coverage for both prenatal testing and termination. Major commercial insurance providers have different policies. TRICARE is the United States Department of Defense health program for uniformed service members. TRICARE provides coverage to approximately 9.4 million beneficiaries, including health plans, special programs, prescriptions, and dental plans. TRICARE's covered medical expenses are outlined in their policies, including those pertaining to genetic testing and termination. This qualitative study aimed to explore the extent to which insurance coverage of prenatal genetic testing and termination of pregnancy affect the genetic counseling process by exploring genetic counselors' experience with TRICARE. The majority of counselors stated that they did not change their overall counseling process for TRICARE patients. However, several counselors expressed that they changed the way they discussed cost with TRICARE patients, specifically in regard to genetic testing. Additionally, counselors provided their perceptions of their patients' emotional experiences. With the recent consolidation of the three TRICARE regions into two TRICARE Regional Office (TRO) regions and the renewal of the Laboratory Developed Tests Demonstration Project, the findings of this study are valuable in the evaluation of TRICARE's coverage of prenatal genetic services.


Subject(s)
Counselors , Genetic Counseling/supply & distribution , Insurance Coverage , Military Health/economics , Prenatal Diagnosis , Professional Practice , Abortion, Eugenic/economics , Abortion, Eugenic/statistics & numerical data , Counselors/psychology , Counselors/statistics & numerical data , Counselors/supply & distribution , Female , Frustration , Genetic Counseling/economics , Genetic Counseling/statistics & numerical data , Genetic Testing/economics , Genetic Testing/statistics & numerical data , Health Services Accessibility/economics , Health Services Accessibility/statistics & numerical data , Humans , Insurance Coverage/economics , Insurance Coverage/statistics & numerical data , Interviews as Topic , Military Health/statistics & numerical data , Military Personnel/statistics & numerical data , Pregnancy , Prenatal Diagnosis/economics , Prenatal Diagnosis/statistics & numerical data , Professional Practice/standards , Professional Practice/statistics & numerical data , Referral and Consultation/economics , Referral and Consultation/statistics & numerical data , Surveys and Questionnaires , United States/epidemiology , United States Department of Defense/economics
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