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. Author manuscript; available in PMC: 2019 Feb 1.
Published in final edited form as: J Pain. 2017 Oct 18;19(2):166–177. doi: 10.1016/j.jpain.2017.10.001

Table 3.

Prescribing among PDMP-registrants who queried the PDMP frequently (>1 query per 6 opioid prescriptions) or infrequently.

Prescribing in the 6 month interval March 2012-August, 2012 Prescribing in the 30 month interval March 2012-August, 2014
Prescribing metric, per prescriber, adjusted mean (95% CI)a (deaths and hospitalizations are group totals) Prescribers with infrequent queries
n = 464
Prescribers with frequent queries
n = 463
p-value Prescribers with infrequent queries
n =464
Prescribers with frequent queries
n =463
p-value
Primary Prescribing Outcomes
Opioid patients with an average daily MME ≥90 in the intervalb 5.09 (4.27, 6.07) 3.56 (2.86, 4.43) .015 6.73 (5.67, 7.98) 5.74 (4.62, 7.14) .310
% of opioid prescriptions that overlap a sedative-hypnotic prescription within 30 daysc 12.9% (12.0, 13.9) 11.1% (10.2, 12.1) .016 13.7% (12.8, 14.6) 12.6% (11.5, 13.7) .122
Patients with ≥ 3 opioid prescribers in any 2 mo. interval 5.75 (5.15, 6.42) 6.01 (5.43, 6.65) .544 32.4 (29.2, 36.0) 35.8 (32.8, 38.9) .123
Inappropriate opioid prescriptionsd 1.50 (1.31, 1.72) 1.37 (1.15, 1.64) .430 7.02 (6.19, 7.96) 5.93 (5.19, 6.78) .081
Secondary prescribing outcomes
Opioid prescriptions 226 (209, 245) 200 (182, 220) .034 1066 (987, 1153) 977 (885, 1079) .135
Benzodiazepine prescriptions 70.6 (64.5, 77.2) 67.0 (59.7, 75.2) .452 348 (315, 383) 336 (293, 385) .694
Units per opioid prescription (most often pills) 47.1 (44.4, 50.0) 44.8 (42.4, 47.4) .297 48.3 (45.7, 51.0) 48.5 (45.6, 51.6) .923
Patients who filled at least one opioid prescription 90.7 (84.2, 97.7) 100 (93.7, 108) .053 296 (271, 322) 377 (347, 410) <.001
% of patients with overlapping long-acting and short-acting opioid prescriptions within 30 d 6.19% (5.70, 6.68) 6.16% (5.46, 6.85) .944 6.21% (5.71, 6.71) 6.47% (5.72, 7.22) .588
Opioid prescriptions per patient with at least one opioid prescription 1.98 (1.90, 2.06) 1.89 (1.80, 1.99) .132 3.24 (3.04, 3.44) 2.91 (2.69, 3.15) .027
Total MME per prescriptionb 580 (530, 634) 502 (460, 548) .013 580 (537, 626) 529 (488, 574) .084
Total MME per patient with at least one opioid prescriptionb 2,654 (2467, 2856) 2,436 (2137, 2776) .272 7,909 (7215, 8669) 7,580 (6687, 8593) .589
Patients with ≥ 3 pharmacies in a 2 month interval 2.54 (2.27, 2.84) 3.14 (2.82, 3.49) .004 15.6 (14.0, 17.5) 20.5 (18.7, 22.6) <.001
Percent of prescribers with at least 1 opioid prescription 99.7% (98.4, 99.96) 99.5% (98.5, 99.9) .305 99.78%e 99.57%e
Health-Related Outcomes (n)f
Opioid related hospitalization 116 83 0.024 612 475 <0.001
Opioid overdose death 6 5 1.00 26 18 0.295
a

Mean adjusted rates from Poisson GEE models are presented with upper and lower confidence intervals.

b

Metrics that use MME exclude prescriptions that did not have complete conversion factor, quantity, or strength information (0.2% of opioid prescriptions). MME calculations exclude buprenorphine and pentazocine.

c

“Sedative-hypnotics” included benzodiazepines, non-benzodiazepine sedative-hypnotics, and carisoprodol

d

Inappropriate opioid prescriptions are those where a second prescription with the same drug name, from a different prescriber, was filled within 7 days of a first prescription that contained ≥30 pills.

e

Unadjusted percentages. Statistical model did not converge because values are too close to 100% for both groups.

f

Each event is attributed to the prescriber of the most recent opioid, benzodiazepine, or non-benzodiazepine sedative hypnotic prescription filled in the 5 months prior to the event. Some patients are counted multiple times, once for every hospitalization event. Heroin related events are excluded.