STUDY DESIGN: Historical cohort study. OBJECTIVE: We investigated the prescription of opioids in injured Canadian workers to determine recent trends in use and the association between early prescription and future recovery. SUMMARY OF BACKGROUND DATA: Opioid analgesia is effective for reducing chronic nonmalignant pain, and opioid prescriptions for musculoskeletal pain seem to have increased over the past years. However, recent evidence indicates early opioid use may be associated with delayed recovery in patients with back pain. METHODS: Data were extracted from the Alberta Workers' Compensation Board administrative database, and information was obtained on all time loss claims for sprains, strains, fractures, dislocations, amputations, or burns between January 1, 2000 and December 31, 2005. Information on all narcotic prescriptions was obtained along with demographic data and duration of time loss benefits. Injury severity was controlled for via nature of injury coding. Analysis included multivariable logistic and Cox regression. RESULTS: Data were obtained for 137,175 subjects. The majority were males ( approximately 70%) with back sprains (approximately 35%), and a mean age of 37 years. Between the years 2000 and 2005, all opioid prescriptions within the first year of claim decreased from 11.4% of claimants to 8.3%. Older males with fractures, dislocations, or amputations were more likely to receive narcotics. Claimants receiving early opioid prescriptions experienced delayed suspension of benefits. However, this association was also seen in claimants prescribed early non-narcotic analgesics. DISCUSSION: Prescriptions for opioid analgesia appear to be decreasing within workers' compensation claimants in Alberta, Canada. As expected, claimants with more severe injuries were more likely to receive opioids. An association was observed between early opioid prescription and delayed recovery, however, this is likely explained by pain severity or other unmeasured confounders.
STUDY DESIGN: Historical cohort study. OBJECTIVE: We investigated the prescription of opioids in injured Canadian workers to determine recent trends in use and the association between early prescription and future recovery. SUMMARY OF BACKGROUND DATA: Opioid analgesia is effective for reducing chronic nonmalignant pain, and opioid prescriptions for musculoskeletal pain seem to have increased over the past years. However, recent evidence indicates early opioid use may be associated with delayed recovery in patients with back pain. METHODS: Data were extracted from the Alberta Workers' Compensation Board administrative database, and information was obtained on all time loss claims for sprains, strains, fractures, dislocations, amputations, or burns between January 1, 2000 and December 31, 2005. Information on all narcotic prescriptions was obtained along with demographic data and duration of time loss benefits. Injury severity was controlled for via nature of injury coding. Analysis included multivariable logistic and Cox regression. RESULTS: Data were obtained for 137,175 subjects. The majority were males ( approximately 70%) with back sprains (approximately 35%), and a mean age of 37 years. Between the years 2000 and 2005, all opioid prescriptions within the first year of claim decreased from 11.4% of claimants to 8.3%. Older males with fractures, dislocations, or amputations were more likely to receive narcotics. Claimants receiving early opioid prescriptions experienced delayed suspension of benefits. However, this association was also seen in claimants prescribed early non-narcotic analgesics. DISCUSSION: Prescriptions for opioid analgesia appear to be decreasing within workers' compensation claimants in Alberta, Canada. As expected, claimants with more severe injuries were more likely to receive opioids. An association was observed between early opioid prescription and delayed recovery, however, this is likely explained by pain severity or other unmeasured confounders.
Authors: Eric T Roberts; Eva H DuGoff; Sara E Heins; David I Swedler; Renan C Castillo; Dorianne R Feldman; Stephen T Wegener; Vladimir Canudas-Romo; Gerard F Anderson Journal: Health Serv Res Date: 2015-09-14 Impact factor: 3.402
Authors: Magdalena Cerdá; Noa Krawczyk; Leah Hamilton; Kara E Rudolph; Samuel R Friedman; Katherine M Keyes Journal: Annu Rev Public Health Date: 2021-11-30 Impact factor: 21.981
Authors: Jason W Busse; Shanil Ebrahim; Diane Heels-Ansdell; Li Wang; Rachel Couban; Stephen D Walter Journal: BMJ Open Date: 2015-08-26 Impact factor: 2.692