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1.
J Occup Environ Med ; 65(12): 998-1002, 2023 12 01.
Article in English | MEDLINE | ID: mdl-37525352

ABSTRACT

OBJECTIVE: The aim of the study is to assess the impact of ≥15% body mass index (BMI) reduction on employees' health expenditures. METHODS: We retrospectively analyzed health risk assessment surveys combined with insurance claims from January 2014 to December 2019. We compared costs of employees with baseline BMI > 30 who reported ≥15% BMI reduction in subsequent health risk assessment reports with employees who lost ≤5% BMI within the same period, matching the two cohorts on demographics and costs. RESULTS: The study cohort of 197 lost an average of 23% of their BMI from baseline. The average age was 44 years with majority females (approximately 80%). Group health insurance payments were similar at baseline; at year 1, the study cohort had a 33% payment reduction compared with 10% reduction in the control group. CONCLUSIONS: A ≥15% BMI reduction was associated with a substantial medical cost savings.


Subject(s)
Health Care Costs , Insurance, Health , Female , Humans , Adult , Retrospective Studies , Weight Loss , Health Expenditures
2.
J Manag Care Spec Pharm ; 26(10): 1317-1324, 2020 Oct.
Article in English | MEDLINE | ID: mdl-32996397

ABSTRACT

BACKGROUND: Rising medical costs are a significant concern for employers offering health benefits to employees, and there is interest in identifying insurance plan designs that optimize the effect of pharmacy benefits on overall costs. For instance, employers must decide between plans that carve in pharmacy benefits (where medical and pharmacy benefits are integrated into 1 package through an insurer) versus plans that carve out pharmacy benefits (where pharmacy benefits are separately administered through a pharmacy benefit manager). Little is known about the effect of carving in pharmacy benefits on medical utilization and costs. OBJECTIVE: To compare the effect of carving in versus carving out pharmacy benefits on medical utilization, medical costs, and health management program participation in commercial health plans. METHODS: We performed a propensity score-matched analysis comparing carve-in and carve-out members of a regional health plan in 2018. Our primary outcomes were medical utilization (annual medical claims/1,000 members) and costs (medical costs per member per month [PMPM]). We categorized these into the following domains: inpatient, emergency department, outpatient/ambulatory surgery, urgent care, primary care, specialist services, and diagnostics (laboratory testing/imaging). We additionally assessed participation in health plan-based health management programs. RESULTS: We analyzed 9,633 carve-in members matched with 9,633 carve-out members. Compared with carving out pharmacy benefits, carving in was associated with 3.7% lower medical costs, with an $8.73 reduction in PMPM ($225.87 vs. $234.60), and no significant difference in medical utilization; significantly lower inpatient and urgent care claims (reduction of 9.29 claims/1,000 and 51.3 claims/1,000, respectively) and costs ($10.08 and $0.12 PMPM reduction, respectively); lower injectable medical therapy costs ($4.32 PMPM reduction); and higher durable medical equipment costs ($2.14 PMPM increase). Carve-in members also experienced 4.9% higher health management program participation. CONCLUSIONS: As employers attempt to understand the value of carving in versus carving out pharmacy benefits to health plans, our findings suggest that carving in pharmacy benefits is associated with reduced medical costs and hospitalizations. Our findings can assist in informing employer decision-making processes and, as a result, reducing costs of care. DISCLOSURES: No outside funding supported this study. Parekh was and Huang and Good are employed by the UPMC Centers for High-Value Health Care and Value-Based Pharmacy Initiatives. Manolis is employed by the UPMC Health Plan within the UPMC Insurance Services Division. Papa, Drnach, and Spiegel are employed by WorkPartners within the UPMC Insurance Services Division.


Subject(s)
Drug Costs/statistics & numerical data , Health Benefit Plans, Employee/statistics & numerical data , Health Care Costs/statistics & numerical data , Insurance, Pharmaceutical Services/statistics & numerical data , Adult , Ambulatory Care/economics , Ambulatory Care/statistics & numerical data , Female , Health Benefit Plans, Employee/economics , Hospitalization/economics , Hospitalization/statistics & numerical data , Humans , Insurance, Pharmaceutical Services/economics , Male , Propensity Score
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