Table 2. Comparison of prediction performance using any of the Centers for Medicaid & Medicaid Services (CMS) high-risk opioid use measures vs. elastic net in the validation sample (n = 114,253) over a 12-month perioda.
Any CMS measureb | High risk in elastic net using different thresholdsc | ||||
---|---|---|---|---|---|
Risk subgroups (n, % of the cohort) | Low risk (n = 110,171, 96.4%) | High risk (n = 4,082, 3.57%) | Top 1 percentile (n = 2,207, 1.93%) | Top 5th percentile (n = 11,633, 10.18%) | Top 10th percentile (n = 23,541, 20.6%) |
Number of actual OUD (% of each subgroup) | 412 (0.4) | 155 (3.8) | 186 (8.4) | 391 (3.4) | 475 (2.0) |
Number of actual non-OUD (% of each subgroup) | 109,759 (99.6) | 3,927 (96.2) | 2,021 (91.6) | 11,242 (96.6) | 23,066 (98.0) |
NNE | 270 | 26 | 11 | 29 | 49 |
% of all OUD over 12 months (n = 567) captured | 72.7 | 27.3 | 32.8 | 69.0 | 83.8 |
Abbreviations: NNE: number needed to evaluate; OUD: opioid use disorder
a: The CMS measures were based on a 12-month period rather than three months. To compare CMS measures, beneficiaries were thus required to have at least a 12-month period of follow up and the resulting sample size was smaller than the sample size in the main analysis. If classifying beneficiaries with any of the CMS high-risk opioid use measures as OUD, the remaining will be consider as non-OUD.
b: The 2019 CMS’ opioid safety measures are meant to identify high-risk individuals or utilization behavior.1 These measures include 3 metrics (1) high-dose use, defined as >120 MME for ≥90 continuous days, (2) ≥4 opioid prescribers and ≥4 pharmacies, or (3) concurrent opioid and benzodiazepine use ≥30 days.
c: For elastic net, we presented high-risk groups using different cutoff thresholds of prediction probability: individuals with (1) predicted probability in the top 1 percentile (0.95); (2) predicted probability in the top 5th percentile (0.77) or above; and (3) predicted probability in the top 10th percentile (0.61) or above. If classifying beneficiaries in the high-risk group of OUD, the remaining will be consider as non-OUD.