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Pain

Updated cost-effectiveness analysis of onabotulinumtoxinA for the prevention of headache in adults with chronic migraine who have previously received three or more preventive treatments in the UK

, , , , , & show all
Pages 113-123 | Received 30 Jul 2019, Accepted 30 Sep 2019, Published online: 04 Nov 2019

Figures & data

Table 1. Base case inputs and assumptions.

Figure 1. Markov model diagram of onabotulinumtoxinA for the preventive treatment of chronic migraine. Reproduced from Batty et al.Citation23.

Figure 1. Markov model diagram of onabotulinumtoxinA for the preventive treatment of chronic migraine. Reproduced from Batty et al.Citation23.

Figure 2. Transition probabilities with 30% negative stopping rule applied for patients with chronic migraine who have previously received three or more preventive treatments.

Figure 2. Transition probabilities with 30% negative stopping rule applied for patients with chronic migraine who have previously received three or more preventive treatments.

Figure 3. Utility values used in the original model (from PREEMPT; number of observations = 359) and the revised model (from REPOSE; number of observations = 3,524) with standard error bars.

Figure 3. Utility values used in the original model (from PREEMPT; number of observations = 359) and the revised model (from REPOSE; number of observations = 3,524) with standard error bars.

Table 2. Cost of care per 12-week cycle by health state.

Table 3. Deterministic base case results with disaggregated costs and QALYs.

Table 4. Deterministic base case results and scenario analysesTable FootnoteΛ.

Figure 4. Cost effectiveness plane: probabilistic sensitivity analysis results for model base case.

Figure 4. Cost effectiveness plane: probabilistic sensitivity analysis results for model base case.

Figure 5. Cost effectiveness acceptability curve: probabilistic sensitivity analysis results for model base case.

Figure 5. Cost effectiveness acceptability curve: probabilistic sensitivity analysis results for model base case.

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