Study ID [Ref] | Variable | High-dose | Low-dose | RR (95% CI) | NNTH (95% CI) |
---|---|---|---|---|---|
Count (%) | Count (%) | ||||
Sociodemographic characteristics | |||||
 Chang, 2018a [30] | State of residence |  |  |  |  |
 California | 47,446 (31%) | 1,416,000 (36%) | 0.87 (0.86, 0.87) | NA | |
 Florida | 54,338 (36%) | 1,207,982 (31%) | 1.16 (1.15, 1.17) | ||
 Georgia | 20,692 (14%) | 689,886 (18%) | 0.77 (0.76, 0.78) | ||
 Maryland | 12,487 (8%) | 250,868 (6%) | 1.29 (1.26, 1.31) | ||
 Washington | 15,866 (11%) | 330,335 (8%) | 1.24 (1.22, 1.26) | ||
 Kobus, 2012 [32] | Insurance coverage |  |  |  |  |
 Medicare | 154 (34%) | 1352 (28%) | 1.21 (1.06 to 1.39) | NA | |
Ethnicity | Â | Â | Â | Â | |
 Unknown/declined to answer | 64 (14%) | 879 (18%) | 0.77 (0.61, 0.98) | NA | |
Treatment-related factors | |||||
 Campbell, 2015 [34] | Antidepressants | 246 (58%) | 323 (49%) | 1.18 (1.06 to 1.32) | NA |
Type of opioid drug | Â | Â | Â | Â | |
 Morphine | 86 (20%) | 75 (11%) | 1.78 (1.34 to 2.37) | NA | |
ICD-10 lifetime pharmaceutical opioid dependence | 49 (12%) | 28 (4%) | 2.72 (1.7 to 4.25) | NA | |
ICD-10 12-month pharmaceutical opioid dependence | 26 (6%) | 13 (2%) | 3.11 (1.61 to 5.98) | NA | |
Prescribed opioid difficulty scale (PODS) intermediate-high (≥ 8) | 297 (70%) | 367 (56%) | 1.26 (1.15 to 1.38) | NA | |
Past 3-month tampering | 38 (9%) | 29 (4%) | 2.03 (1.27 to 3.25) | 22 (13 to 64) | |
Past 3-month different drug route | 7 (2%) | 1 (0.2%) | 10.87 (1.34 to 88.04) | NA | |
 Kobus, 2012 [32] | Long-acting opioids | 400 (88%) | 1637 (34%) | 2.60 (2.47, 2.74) | NA |
Substance use | |||||
 Chang, 2018b [4] | Opioid disorders | 530 (19%) | 1243 (1%) | 28.95 (26.34, 31.82) | NA |
 Campbell, 2015 [34] | Illicit drug use past 12 months | 71 (17%) | 67 (10%) | 11.03 (5.75 to 21.14) | NA |
 Kobus, 2012 [32] | Substance use disorder | 141 (31%) | 1151 (24%) | 1.30 (1.13 to 1.51) | NA |
Clinical factors | |||||
 Campbell, 2015 [34] | Back or neck problems | 344 (81%) | 484 (73%) | 1.10 (1.03 to 1.18) | NA |
Frequent/severe headaches | 134 (32%) | 170 (26%) | 1.22 (1.01 to 1.48) | NA | |
Healthcare utilization | |||||
 Chang, 2018a [30] | Opioids from ≥ 4 unique prescribers and pharmacies over 90 days | 1176 (0.78%) | 1948 (0.05%) | 15.6 (14.51 to 16.76) | 137 (129 to 145) |
 Chang, 2018b [4] | > 1 Hospitalizations |  |  |  |  |
 Concurrent 2012 | 443 (16%) | 17,061 (9%) | 1.76 (1.62, 1.92) | 14 (12 to 18) | |
 Prospective 2013 | 396 (14%) | 11,110 (6%) | 2.42 (2.21, 2.66) | 12 (10 to 14) | |
 Kobus, 2012 [32] | Any pain clinic visits 6 months before/after index date | 104 (23%) | 530 (11%) | 2.09 (1.73 to 2.51) | 8 (6 to 12) |
Filled opioid prescription 5 days after emergency department visit | 285 (63%) | 2696 (56%) | 1.12 (1.04 to 1.21) | 14 (9 to 46) | |
Mental health | |||||
 Kobus, 2012 [32] | Posttraumatic stress disorder diagnostic code 309.81 | 20 (4%) | 96 (2%) | 2.21 (1.38 to 3.55) | NA |
Prescribers | |||||
 | Mean (%) | Mean (%) | RR (95% CI) |  | |
 Chang, 2018a [30] | Proportion of prescriptions from high-risk* prescribers | 122,159 (81%) | 973,865 (25%) | 3.24 (3.23 to 3.25) | NA |
Count (%) | Count (%) | RR (95% CI) | Â | ||
100% of opioid prescriptions from high-risk* prescribers | 77,217 (51%) | 572,633 (15%) | 3.48 (3.46 to 3.50) | NA | |
50–99% of prescriptions from high-risk* prescribers | 51,277 (34%) | 471,351 (12%) | 2.81 (2.79 to 2.83) | NA |