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Original Research

Budget impact and pharmacy costs with targeted use of oliceridine for postsurgical pain in patients at high risk of opioid-related adverse events

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Pages 671-681 | Received 01 Dec 2021, Accepted 01 Feb 2022, Published online: 15 Mar 2022

Figures & data

Table 1. Summary of efficacy outcomes, rescue analgesic, and rescue antiemetic medication use in the health economic analysis [Citation8]

Table 2. Adverse event incidence and risk-ratio computation from pooled pivotal randomized controlled Phase 3 RCTs (orthopedic surgery–bunionectomy study and plastic surgery–abdominoplasty study) [Modified from 8]

Table 3. Estimation of expected adverse event incidence in real-world conditions derived from Phase 3 open-label safety study data [Citation8]

Figure 1. Overview of the economic model methodology [Modified from Citation8].

The model focused on specific AEs: 1) oxygen desaturation defined as measured oxygen saturation with an SpO2 <90%; 2) vomiting as a reported MedDRA-coded AE; and 3) somnolence, as a reported MedDRA-coded AE directly measured in the Phase 3 studies. Estimates of the risks (risk ratios) of these AE outcomes were derived directly from the safety data measures reported in the Phase 3 orthopedic surgery–bunionectomy (APOLLO-1) [Citation9,Citation10] and plastic surgery plastic surgery–abdominoplasty abdominoplasty (APOLLO-2) [Citation9,Citation10] studies. The risk ratios were then applied to AE rates observed in high-risk patients (age ≥65 years a BMI ≥30 kg/m2) from the Phase 3 open-label safety study of oliceridine [Citation9,Citation10] to estimate the rates of AEs reported among a medically complex, real-world patient sample. Other model parameters are derived from the published literature and observational costs data.AE = adverse event; BMI = body mass index; MedRA = Medical Dictionary for Regulatory Activities; SpO2 = peripheral oxygen saturation.
Figure 1. Overview of the economic model methodology [Modified from Citation8].

Figure 2. Analysis framework for budget impact model. The Budget Impact Model assumes that only high-risk patients (age ≥65 years who have a BMI ≥30 kg/m2) will receive oliceridine and that the balance of lower risk patients in that allocated group will be treated with morphine. Based on the population demographics directly observed in the ATHENA study population [Citation9,Citation10], this subset of higher risk patients is estimated to represent 16.6% of the overall population studied. The Budget Impact Model also assumes a total annual sample of 1,132 eligible surgeries per year, with a distribution of surgical cases as observed on average for hospitals in Florida in 2017 [Citation18]. The Budget Impact Model estimated the total cost for pain medication, the total number of adverse outcomes, and the total number of adverse outcomes averted by using oliceridine for the high-risk patients and morphine for all others, compared to having used only morphine for all patients. A return on investment (ROI) is calculated as the ratio of the total cost of AEs averted divided by the total additional cost of pain medications.AE = adverse event; BMI = body mass index; CABG = coronary artery bypass graft.

Figure 2. Analysis framework for budget impact model. The Budget Impact Model assumes that only high-risk patients (age ≥65 years who have a BMI ≥30 kg/m2) will receive oliceridine and that the balance of lower risk patients in that allocated group will be treated with morphine. Based on the population demographics directly observed in the ATHENA study population [Citation9,Citation10], this subset of higher risk patients is estimated to represent 16.6% of the overall population studied. The Budget Impact Model also assumes a total annual sample of 1,132 eligible surgeries per year, with a distribution of surgical cases as observed on average for hospitals in Florida in 2017 [Citation18]. The Budget Impact Model estimated the total cost for pain medication, the total number of adverse outcomes, and the total number of adverse outcomes averted by using oliceridine for the high-risk patients and morphine for all others, compared to having used only morphine for all patients. A return on investment (ROI) is calculated as the ratio of the total cost of AEs averted divided by the total additional cost of pain medications.AE = adverse event; BMI = body mass index; CABG = coronary artery bypass graft.

Figure 3. Summary of the analytic framework and methodology used to design the oliceridine health economic model [Citation8]. The analytic framework for the overall economic model was structured as a decision tree with two major branches representing treatment with oliceridine or morphine over a 24-hour time period. Treatment response parameters were derived from pooled data from the Phase 3 orthopedic surgery–bunionectomy and Phase 3 plastic surgery–abdominoplasty studies. Risk ratios for oliceridine versus morphine adverse events (AEs) were derived from these pivotal randomized Phase 3 studies and applied to the mean AE rates observed in the ATHENA observational study. This approach was used to prevent the model from using the excessively high rates observed for both treatments in the pivotal Phase 3 trials due to protocol specifications that did not permit the use of multimodal analgesia. Failure of oliceridine 0.35 mg dosing was assumed to lead to escalation of dosing to oliceridine 0.5 mg, and to use of rescue analgesic medication if patients failed this higher dose. Failure of the morphine medication was assumed to lead directly to use of rescue analgesic medication, as used in the trials. Costs of pain medication, rescue therapy and antiemetic drugs were tabulated based on rates observed in the pivotal Phase 3 studies. The decision tree was ‘rolled back’ and population numbers for each condition were calculated. Standard cost weights for AEs were estimated for each arm of the decision tree.ROI = return on investment; RR = risk ratio.

Figure 3. Summary of the analytic framework and methodology used to design the oliceridine health economic model [Citation8]. The analytic framework for the overall economic model was structured as a decision tree with two major branches representing treatment with oliceridine or morphine over a 24-hour time period. Treatment response parameters were derived from pooled data from the Phase 3 orthopedic surgery–bunionectomy and Phase 3 plastic surgery–abdominoplasty studies. Risk ratios for oliceridine versus morphine adverse events (AEs) were derived from these pivotal randomized Phase 3 studies and applied to the mean AE rates observed in the ATHENA observational study. This approach was used to prevent the model from using the excessively high rates observed for both treatments in the pivotal Phase 3 trials due to protocol specifications that did not permit the use of multimodal analgesia. Failure of oliceridine 0.35 mg dosing was assumed to lead to escalation of dosing to oliceridine 0.5 mg, and to use of rescue analgesic medication if patients failed this higher dose. Failure of the morphine medication was assumed to lead directly to use of rescue analgesic medication, as used in the trials. Costs of pain medication, rescue therapy and antiemetic drugs were tabulated based on rates observed in the pivotal Phase 3 studies. The decision tree was ‘rolled back’ and population numbers for each condition were calculated. Standard cost weights for AEs were estimated for each arm of the decision tree.ROI = return on investment; RR = risk ratio.

Table 4. High-risk model: inputs and estimates for the comparative cost of care for 1,000 surgical patients treated on-demand with either oliceridine or morphine

Table 5. Budget impact model: inputs and estimates for the comparative cost of care among 1,132 surgical patients treated on-demand with Policy B (blended use of oliceridine and morphine) compared to Policy A (use of morphine only)

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