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Micromedex red book

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Micromedex RED BOOK is a comprehensive drug reference database that provides information on pharmaceutical products, including their generic and brand names, active ingredients, dosage forms, and other relevant details. It is a trusted source of drug information for healthcare professionals.

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Lab products found in correlation

9 protocols using micromedex red book

1

Vedolizumab vs. Adalimumab Maintenance Therapy

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The vedolizumab IV cohort received induction therapy of 300 mg at weeks 0, 2, and 6. Those who responded to vedolizumab IV induction began maintenance therapy of 300 mg every 8 weeks. The adalimumab SC cohort received induction therapy of 160 mg on day 1 and 80 mg on day 15. Those who responded to adalimumab SC began maintenance therapy of 40 mg every 2 weeks. Patients could continue maintenance therapy for the remainder of the model. Treatments given after the initial therapy failed were dosed according to the approved label for each respective product. Wholesale acquisition costs (WACs) were collected from IBM Micromedex RED BOOK.19
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2

Cost Analysis of Anti-VEGF Treatments

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Costs in the model solely comprise direct medical costs and were inclusive of drug costs, interventional administration costs (ie, intravitreal injection costs, office visit costs), and monitoring costs. Costs per anti-VEGF dose (ie, drug costs) were derived from IBM Micromedex RED BOOK using wholesale acquisition costs; costs of intravitreal injection and office visit costs were taken from the corresponding Current Procedural Terminology (CPT) codes in the Centers for Medicare & Medicaid Services Physician Fee Schedule.32 ,33 Monitoring and disease-related costs included the cost of optical coherence tomography (OCT), the cost of fluorescein angiography, and a multiplier for bilateral fluorescein angiography (in the event that both eyes were tested). These values were derived from corresponding CPT codes and available published data.9 ,33 Additionally, all patients were assumed to have received an OCT at each treatment visit. A fluorescein angiography was assumed to have been performed only at the initial visit.12
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3

Albuterol Prescription Trends in Medicaid

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We obtained data on albuterol prescription dispensing to Medicaid enrollees in all states between 2011 and 2018 from the State Drug Utilization Database, which is maintained by the Centers for Medicare & Medicaid Services [22 ]. This database reports the quarterly number of prescriptions dispensed to Medicaid enrollees by national drug code (NDC). We identified products containing albuterol using a list of NDCs obtained from IBM Micromedex RED BOOK (see Table E1 in Online Supplement for full list) [23 ]. Our list included all albuterol NDC codes that were active during the study period.
In the State Drug Utilization Database, data are suppressed for any quarterly count less than 11. We imputed suppressed counts in the same manner as prior studies using the same dataset [24 ]. This method leveraged the discrepancy between the sum of state-level totals and the national total. Imputed counts were weighted inverse to the number of quarters during the year that the count was suppressed, so that counts less frequently suppressed received greater weight (see Methods E1 in Online Supplement for description of the full methodology). When suppressed cells were dropped instead of imputed, results from difference-in-differences analyses were unchanged (see Table E2 in Online Supplement, which contains the results without imputed counts).
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4

Gabapentinoid and Opioid Usage Patterns

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We included gabapentinoids and oral-administered opioids. Gabapentinoid use (ie, gabapentin and pregabalin) and opioid use were ascertained in outpatient drug claims using generic names, generic identifiers, and national drug codes outlined in the IBM Micromedex® RED BOOK® (2018). Patients were classified as gabapentinoid and/or opioid users if their prescription fill date plus days of supply overlapped with December 1, 2018.
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5

Predicting PCI Procedure Outcomes

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Potential confounding variables were identified during the 6 months prior to the initial PCI procedure. Variables were grouped according to Andersen's Behavioral Model for Health Services Utilization (FigureS2), which considers the influence of both individual patient characteristics and contextual determinants of health care use as predictors of health service utilization.16 Predisposing variables included age, sex, and geographic region. Enabling variables included the insurance plan features. Need variables included the Elixhauser comorbidity index (EI) score associated with re‐admission risk,17 the measure of bleeding risk,1 and medication history. Elixhauser conditions and re‐admission weights are provided in TableS2. ICD codes to identify Elixhauser conditions were taken from Elixhauser Comorbidity Software, version 3.7.18 Drug claims in this study were identified from the IBM Micromedex Red Book19 by National Drug Codes from outpatient pharmacy claims data using the prescription fill date.
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6

Costs of Lymphodepleting Chemotherapies

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Costs associated with lymphodepleting chemotherapies were considered during the pre-treatment period. As estimated from the JULIET trial data 18 , 93% of the infused population received lymphodepleting therapies (74% received regimen 1 [combination fludarabine-cyclophosphamide] and 19% received regimen 2 [bendamustine]) during the pretreatment period. The remaining 7% of patients did not receive lymphodepleting therapies, as observed in JULIET. The default cost inputs for medication and administration were obtained from the public domain and were based on payment from the payers (i.e. costs reimbursed by payers). Specifically, medication costs were estimated using the WAC from IBM Micromedex RED BOOK 19 , and unit costs for drug administration were from the Centers for Medicare & Medicaid Services (CMS) Physician Fee Schedule 20 . Detailed information regarding the dosing schedules and unit drug costs are presented in Table 1.
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7

Cost Analysis of Intravitreal Injection Regimens

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The BIM included direct medical costs related to drug acquisition, office visits, administration, and disease monitoring (Table 2) . The per-unit drug costs in the base case analysis was based on the wholesale acquisitions cost (WAC) listed in the IBM Micromedex RedBook.73 The cost associated with drug administration, office visits, and monitoring were based on per-visit service costs using Current Procedural Terminology codes reported in the Centers for Medicare and Medicaid Services physician fee schedule national payment.74 The intravitreal injection cost for both eyes was estimated at 1.5 times the cost of 1 eye injection using Medicare’s multiple surgery payment guidelines.75 ,76 The cost of fluorescein angiography for both eyes was estimated at twice the cost of 1 eye based on a recently published study.74 The number of annual office visits and OCT examinations were assumed to be equivalent to the number of injections for all regimens except PRN. For the PRN regimen, both the monthly clinical visits and OCT examination at each visit were considered based on PRN treatment guidelines. The models assumed fluorescein angiography only at the initial visit.
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8

Comprehensive Cost Analysis of Treatment

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This model captured medical costs, which included costs of medications during treatment, disease monitoring and management, management of grade 3/4 AEs, subsequent therapy after disease progression, and end-of-life (EOL) care (Supplementary Table 2). The WACs of medications were obtained from the 2020 IBM Micromedex RED BOOK.10 Costs of disease monitoring and management, such as office visits and imaging, were referenced from the 2020 Medicare Clinical Laboratory Fee Schedule and the 2020 Medicare Physician Fee Schedule.11 ,12 The medication costs and costs of disease monitoring and management were applied to the model in cycles based on the quantities and frequencies listed in the MONALEESA-3 clinical trial protocol. Costs of managing AEs, cost of subsequent therapy, and EOL care costs were obtained from literature and were applied as one-time events to the model. AE management was applied at treatment initiation, the cost of subsequent therapy was applied once on disease progression, and EOL costs as an exit cost following OSs. All costs were inflated to 2020 US dollars using the medical care component of the Consumer Price Index. A discount rate of 3% was applied annually to all costs to convert future lifetime costs to present value in 2020.
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9

Predicting PCI Procedure Outcomes

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Potential confounding variables were identified during the 6 months prior to the initial PCI procedure. Variables were grouped according to Andersen’s Behavioral Model for Health Services Utilization (Figure S2) which considers the influence of both individual patient characteristics and contextual determinants of health care use as predictors of health service utilization [16 ]. Predisposing variables included age, sex, and geographical region. Enabling variables included the insurance plan features. Need variables included the EIixhauser comorbidity index (EI) score associated with readmission risk [17 (link)], the measure of bleeding risk [1 (link)], and medication history. EIixhauser conditions and readmission weights are provided in Table S2. ICD codes to identify EIixhauser conditions were taken from EIixhauser Comorbidity Software, Version 3.7 [18 ]. Drug claims in this study were identified from IBM Micromedex Red Book [19 ] by National Drug Codes from outpatient pharmacy claims data using the prescription fill date.
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