Table 1

Characteristics and summary statistics of opioid users with incident hospitalisations/emergency department visits using data from 2016 to 2018

CharacteristicTotal no (%) of patients*n=1 056 773†No (%) of concurrent users*n=179 805‡No (%) of non-concurrent opioid users*n=876 968§
Opioid users1 056 773 (100)179 805 (100)876 968 (100)
No of dispensations for opioids11 240 195(-)5 855 666 (-)5 384 529 (-)
No of dispensations for BZDs6 050 709(-)4 767 945 (-)1 282 764 (-)¶
Sex
 Female581 457 (55)109 128 (60.7)472 411 (53.9)
 Male475 316 (45)70 677 (39.3)404 557 (46.1)
Age at admission, year, median (IQR)49 (34–62)56 (43–67)47 (32–61)
 Mean (SD)48.7 (18.1)55.2 (17.0)47.4 (18.1)
 10–2048 721 (4.6)2276 (1.3)46 445 (5.3)
 21–40339 380 (32.1)36 192 (20.1)303 188 (34.5)
 41–65464 720 (44.0)90 626 (50.4)374 094 (42.7)
 >65203 909 (19.3)50 708 (28.2)153 201 (17.5)
No of unique prescribers visited, median (IQR)2 (1–3)4 (2–6)1 (1–2)
 Mean (SD)2.3 (2.2)4.5 (3.4)1.9 (1.4)
 1508 745 (48.1)19 252 (10.7)489 493 (55.8)
 2246 935 (23.4)33 594 (18.7)213 341 (24.3)
 3124 773 (11.8)33 473 (18.6)91 300 (10.4)
 466 825 (6.3)26 573 (14.8)40 252 (4.6)
 >5109 495 (10.4)66 913 (37.2)42 582 (4.9)
No of unique pharmacies visited, median (IQR)2 (1–3)3 (2–5)2 (1–2)
 Mean (SD)2.37 (2.18)4.1 (3.8)2.02 (1.45)
 1431 651 (40.8)29 486 (16.4)402 165 (45.8)
 2301 730 (28.5)41 064 (22.8)260 666 (29.7)
 3151 297 (14.3)33 578 (18.8)117 710 (13.4)
 473 698 (7.0)23 356 (13.0)50 342 (5.7)
 >598 406 (9.3)52 321 (29.1)46 085 (5.3)
Total no of opioid prescriptions dispensed, median (IQR)2 (1–4)8 (2–29)1 (1–3)
 Mean (SD)9.8 (51.4)32.6 (101.5)5.2 (30.9)
 1–10919 059 (87.0)100 809 (56.0)818 250 (93.3)
 11–2048 371 (4.6)22 796 (12.7)25 575 (2.9)
 20–3023 706 (2.2)13 163 (7.3)10 543 (1.2)
 >3165 637 (6.2)43 037 (23.9)22 600 (2.6)
Total cumulative days of opioid use, median (IQR)11 (5–39)104 (21–522)9 (5–23)
 Mean (SD)94.5 (224)297.9 (358.0)52.8 (154.7)
 1–30744 607 (70.5)54 670 (30.4)689 937 (78.7)
 31–6094 659 (9.0)20 406 (11.4)74 253 (8.5)
 61–9035 536 (3.4)10 934 (6.1)24 602 (2.8)
 >90181 971 (17.2)93 795 (52.2)88 176 (10.1)
No of people that received a dispensation for specified opioid molecule and daily OME**
 Buprenorphine/naloxone7995 (0.76)3005 (1.7)7451 (0.85)
 Methadone7394 (0.70)3218 (1.8)7043 (0.80)
 Buprenorphine (transdermal patch)8238 (0.78)3447 (1.9)7158 (0.82)
 Codeine738 601 (69.9)120 514 (67.0)701 243 (80.0)
 Morphine29 796 (2.8)12 069 (6.7)25 828 (3.0)
 Oxycodone119 289 (11.3)37 692 (21.0)108 036 (12.3)
 Oxycodone/naloxone1163 (0.11)485 (0.27)1007 (0.12)
 Hydromorphone70 181 (6.6)22 376 (12.4)62 205 (7.1)
 Fentanyl8888 (0.84)6279 (3.5)8067 (0.92)
 Tramadol316 662 (30.0)50 891 (28.3)292 965 (33.4)
 Tapentadol1570 (0.15)696 (0.39)1387 (0.16)
 50 OME††854 759 (86.3)154 742 (90.3)812 574 (99.2)
 50–90 OME††166 392 (16.8)48 642 (28.4)144 629 (17.7)
 >90 OME††101 837 (10.3)40 265 (23.5)86 620 (10.6)
Total days of cumulative concurrency among concurrent users
 1–30N/A92 757 (51.6)N/A
 31–6017 327 (9.6)
 61–909006 (5.0)
 91–18014 713 (8.2)
 181–2708468 (4.7)
 271–3606270 (3.5)
 >36131 264 (17.4)
Elixhauser score‡‡
 Mean (SD)2.86 (2.45)4.36 (2.8)2.56 (2.25)
 Median (IQR)2 (1–4)4 (2–6)2 (1–4)
  • All pairwise comparisons between concurrent and opioid only users had p<0.001.

  • *Unless otherwise indicated.

  • †n=990 098 for OME analyses.

  • ‡n=171 457 for OME analyses.

  • §n=818 641 for OME analyses.

  • ¶If patients had BZD use outside of the study windows, then this was captured in our summary statistics.

  • **Defined as having at least 1 day at specified dose or molecule.

  • ††OME=oral morphine equivalents, buprenorphine and methadone dropped from OME analysis.

  • ‡‡Determined using data from 2012 to 2016.

  • BZD, benzodiazepines/Z-drug; N/A, not available; OME, oral morphine equivalent.