Effect of Opioid vs Nonopioid Medications on Pain-Related Function in Patients With Chronic Back Pain or Hip or Knee Osteoarthritis Pain The SPACE Randomized Clinical Trial
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
Authors: Krebs, Erin E.; Gravely, Amy; Nugent, Sean; Jensen, Agnes C.; DeRonne, Beth; Goldsmith, Elizabeth S.; Kruenke, Kurt; Bair, Matthew J.; Nourbaloochi, Siamak
Abstract
IMPORTANCE Limited evidence is available regarding long-term outcomes of opioids compared with nonopioid medications for chronic pain. OBJECTIVE To compare opioid vs nonopioid medications over 12 months on pain-related function, pain intensity, and adverse effects. DESIGN, SETTING, AND PARTICIPANTS Pragmatic, 12-month, randomized trial with masked outcome assessment. Patients were recruited from Veterans Affairs primary care clinics from June 2013 through December 2015; follow-upwas completed December 2016. Eligible patients had moderate to severe chronic back pain or hip or knee osteoarthritis pain despite analgesic use. Of 265 patients enrolled, 25 withdrew prior to randomization and 240 were randomized. INTERVENTIONS Both interventions (opioid and nonopioid medication therapy) followed a treat-to-target strategy aiming for improved pain and function. Each intervention had its own prescribing strategy that included multiple medication options in 3 steps. In the opioid group, the first step was immediate-release morphine, oxycodone, or hydrocodone/acetaminophen. For the nonopioid group, the first step was acetaminophen (paracetamol) or a nonsteroidal anti-inflammatory drug. Medications were changed, added, or adjusted within the assigned treatment group according to individual patient response. MAIN OUTCOMES AND MEASURES The primary outcome was pain-related function (Brief Pain Inventory [BPI] interference scale) over 12 months and the main secondary outcome was pain intensity (BPI severity scale). For both BPI scales (range, 0-10; higher scores = worse function or pain intensity), a 1-point improvement was clinically important. The primary adverse outcome was medication-related symptoms (patient-reported checklist; range, 0-19). RESULTS Among 240 randomized patients (mean age, 58.3 years; women, 32 [13.0%]), 234 (97.5%) completed the trial. Groups did not significantly differ on pain-related function over 12 months (overall P =.58); mean 12-month BPI interference was 3.4 for the opioid group and 3.3 for the nonopioid group (difference, 0.1 [95% CI, -0.5 to 0.7]). Pain intensity was significantly better in the nonopioid group over 12 months (overall P =.03); mean 12-month BPI severity was 4.0 for the opioid group and 3.5 for the nonopioid group (difference, 0.5 [95% CI, 0.0 to 1.0]). Adverse medication-related symptoms were significantly more common in the opioid group over 12 months (overall P =.03); mean medication-related symptoms at 12 months were 1.8 in the opioid group and 0.9 in the nonopioid group (difference, 0.9 [95% CI, 0.3 to 1.5]). CONCLUSIONS AND RELEVANCE Treatment with opioids was not superior to treatment with nonopioid medications for improving pain-related function over 12 months. Results do not support initiation of opioid therapy for moderate to severe chronic back pain or hip or knee osteoarthritis pain.
Using Pill Identification Calls to Poison Centers as a Marker of Drug Abuse at Three Texas Military Bases
SOUTHERN MEDICAL JOURNAL
Authors: Ng, Patrick C.; Maddry, Joseph K.; Sessions, Daniel; Borys, Douglas J.; Bebarta, Vikhyat S.
Abstract
Objectives: Opioid abuse is a growing problem in civilian communities, and it has developed in the military as well. Telephone calls to poison centers requesting pill identification (ID) is a marker of drug abuse. This study identifies the number of pill ID calls made to the poison centers from areas containing and surrounding three Texas military bases during an 8-year period. Methods: We performed a retrospective observational study identifying calls to certified poison centers in Texas from 2002 to 2009 that identified hydrocodone tablets and other pain medications. We noted the calls made from ZIP codes containing and surrounding the three largest military bases in Texas. Results: We reviewed 75,537 drug ID calls for any drug from the ZIP codes of interest. Total drug ID calls increased 105% and the number of calls for hydrocodone increased 463%. Conclusions: In our study most of the drug ID calls from military communities in Texas were for hydrocodone. The rate of calls for hydrocodone increased more than the rate of calls for other analgesics from 2002 to 2009. Using drug ID calls as a surrogate of drug abuse, our results suggest that hydrocodone abuse has increased within military communities and that poison center data can be a reliable surrogate for prescription drug abuse near military bases. Future studies are needed to further understand the extent of this problem in military and civilian communities. We can use this information to heighten awareness, influence prescription practices, establish practice guidelines, and develop educational programs to mitigate the increasing rate of prescription analgesic abuse in the United States.