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. Author manuscript; available in PMC: 2023 Jan 1.
Published in final edited form as: Med Care. 2022 Jan 1;60(1):75–82. doi: 10.1097/MLR.0000000000001663

Table 3.

Risk difference for prolonged opioid use per 1000 patients and projected number of reduced cases of prolonged opioid use associated with varying day supply limits.

Day Supply Limit Observed Risk/1,000 Above Limit Estimated Risk/1,000 At Limita Risk Difference (95% CI) NNTb No. (%) of Surgeries above Cutoff # of Reduced Prolonged Opioid Use Casesc
2 20.0 15.4 4.61 (2.12,7.10) 217 687,941 (92.3%) 3,170
3 22.2 17.4 4.81 (3.36,6.26) 208 570,079 (76.5%) 2,740
4 24.4 19.6 4.84 (3.59,6.09) 207 466,960 (62.7%) 2,255
5 30.0 25.8 4.19 (3.01,5.38) 239 271,288 (36.4%) 1,135
6 31.5 27.2 4.28 (2.06,6.51) 234 230,795 (31.0%) 986
7 34.6 32.6 2.04 (−0.17,4.25) 491 167,548 (22.5%) 341
8 36.8 33.0 3.78 (1.57,5.99) 265 124,513 (16.7%) 469
10 41.7 39.8 1.93 (−0.97,4.83) 519 63,302 (8.5%) 121
15 46.7 45.2 1.51 (−2.85,5.87) 663 25,662 (3.4%) 38
a

Risk calculated using g-computation methods with 95% confidence intervals based on the standard deviation of 200 bootstrapped resamples, estimating risk of prolonged use if all patients above the limit had instead received a prescription equal to that limit.

b

NNT: Number needed to treat = RD−1, interpreted as the number of patients needed to be impacted by the limit to reduce one case of prolonged opioid use.

c

# of Reduced Cases = (# of surgeries above cutoff / NNT).