PURPOSE: Although pharmaceutical claims are an essential data source for pharmacoepidemiological studies, these data potentially under-estimate opioid utilisation. Therefore, this study aimed to quantify the extent to which pharmaceutical claims from Australia's national medicines subsidy programs (Pharmaceutical Benefits Scheme [PBS] and Repatriation Schedule of Pharmaceutical Benefits [RPBS]) under-estimate prescription-only and total national opioid utilisation across time and for different opioids. A secondary aim was to examine the impact of the 2012 policy change to record all PBS/RPBS dispensed medicines, irrespective of government subsidy, on the degree of under-estimation. METHODS: Aggregated data on Australian opioid utilisation were obtained for the 2010 to 2014 calendar years, including all single ingredient and combination opioid analgesic preparations available on prescription or over-the-counter (OTC). Total opioid utilisation (oral morphine equivalent kilogrammes) was quantified using sales data from IMS Health and compared with pharmaceutical claims data from the PBS/RPBS. RESULTS: PBS/RPBS claims data did not account for 12.4% of prescription-only opioid utilisation in 2014 and 19.1% in 2010, and 18.4% to 25.4% of total opioid use when accounting for OTC preparations. Between 2010 and 2014, 5.6% to 5.3% of buprenorphine, 8.1% to 6.3% fentanyl, 17.7% to 10.7% oxycodone, 18.4% to 11.0% tramadol, 38.4% to 21.0% hydromorphone, and 28.6% to 21.0% of prescription-only codeine utilisation were not accounted for in PBS/RPBS claims. CONCLUSIONS: Despite increased capture of less expensive (under co-payment) opioid items since 2012, PBS/RPBS claims still under-estimate opioid use in Australia, with varying degrees across opioids. The estimates generated in this study allow us to better understand the degree of under-estimation and account for these in research using Australia's national pharmaceutical claims data.
PURPOSE: Although pharmaceutical claims are an essential data source for pharmacoepidemiological studies, these data potentially under-estimate opioid utilisation. Therefore, this study aimed to quantify the extent to which pharmaceutical claims from Australia's national medicines subsidy programs (Pharmaceutical Benefits Scheme [PBS] and Repatriation Schedule of Pharmaceutical Benefits [RPBS]) under-estimate prescription-only and total national opioid utilisation across time and for different opioids. A secondary aim was to examine the impact of the 2012 policy change to record all PBS/RPBS dispensed medicines, irrespective of government subsidy, on the degree of under-estimation. METHODS: Aggregated data on Australian opioid utilisation were obtained for the 2010 to 2014 calendar years, including all single ingredient and combination opioid analgesic preparations available on prescription or over-the-counter (OTC). Total opioid utilisation (oral morphine equivalent kilogrammes) was quantified using sales data from IMS Health and compared with pharmaceutical claims data from the PBS/RPBS. RESULTS:PBS/RPBS claims data did not account for 12.4% of prescription-only opioid utilisation in 2014 and 19.1% in 2010, and 18.4% to 25.4% of total opioid use when accounting for OTC preparations. Between 2010 and 2014, 5.6% to 5.3% of buprenorphine, 8.1% to 6.3% fentanyl, 17.7% to 10.7% oxycodone, 18.4% to 11.0% tramadol, 38.4% to 21.0% hydromorphone, and 28.6% to 21.0% of prescription-only codeine utilisation were not accounted for in PBS/RPBS claims. CONCLUSIONS: Despite increased capture of less expensive (under co-payment) opioid items since 2012, PBS/RPBS claims still under-estimate opioid use in Australia, with varying degrees across opioids. The estimates generated in this study allow us to better understand the degree of under-estimation and account for these in research using Australia's national pharmaceutical claims data.
Authors: Timothy S Anderson; Bocheng Jing; Charlie M Wray; Sarah Ngo; Edison Xu; Kathy Fung; Michael A Steinman Journal: Med Care Date: 2019-10 Impact factor: 2.983
Authors: Natasa Gisev; Sallie-Anne Pearson; Timothy Dobbins; David C Currow; Fiona Blyth; Sarah Larney; Adrian Dunlop; Richard P Mattick; Andrew Wilson; Louisa Degenhardt Journal: BMJ Open Date: 2018-12-04 Impact factor: 2.692
Authors: Sarah A Palumbo; Kayleigh M Adamson; Sarathbabu Krishnamurthy; Shivani Manoharan; Donielle Beiler; Anthony Seiwell; Colt Young; Raghu Metpally; Richard C Crist; Glenn A Doyle; Thomas N Ferraro; Mingyao Li; Wade H Berrettini; Janet D Robishaw; Vanessa Troiani Journal: JAMA Netw Open Date: 2020-09-01
Authors: Tina Lam; Jane Hayman; Janneke Berecki-Gisolf; Paul Sanfilippo; Dan I Lubman; Suzanne Nielsen Journal: BMJ Open Date: 2020-09-29 Impact factor: 2.692