Characterizing downstream healthcare resource utilization and costs based on prior utilization patterns of immediate-release XXXX .

@entity1 @entity1287
OBJECTIVE: To assess downstream healthcare resource utilization (HRU) and costs among immediate release (IR) @entity1287 @entity1 by days' supply and average doses/month in the prior 6 months. METHODS: Retrospective analysis using healthcare claims from Truven MarketScan commercial, Medicare supplemental, and Medicaid multistate databases was performed. @entity1 prescribed IR @entity1287 during the 6-month baseline (July-December 2011), and with continuous enrollment during baseline and the 12-month follow-up (2012) were selected. HRU and per- @entity1 -per-month (PPPM) costs (2014 US dollars) were assessed at follow-up. Descriptive analyses and multivariate regressions were conducted to compare HRU and costs at follow-up by days' supply (<60 vs >= 60 days) and average doses per month ( <=60 vs >60 doses/month) of IR @entity1287 at baseline. RESULTS: In total, 1,698,845 commercial, 264,038 Medicare, and 151,063 Medicaid IR @entity1287 @entity1 were identified. During follow-up, commercial @entity1 with prior >= 60 days' supply were more likely to have an inpatient admission (13.2% vs 7.5%), outpatient hospital visit (69.1% vs 57.0%), office visit (97.6% vs 91.0%), emergency room (ER) visit (28.1% vs 21.4%), and had higher PPPM total costs ( 1494 vs  842) than the <60 days' supply sub-group (all p   <   0.05). Among commercial @entity1 the adjusted odds ratio for prior >= 60 days' supply of IR @entity1287 vs prior <60 days' supply was 1.62 (inpatient), 1.33 (outpatient), 2.58 (office visit) and 1.48 (ER) (all p-values <0.05). Adjusted all-cause total costs were higher ( 1245 vs  851, p <0.05) among commercial @entity1 with longer days' supply than those with shorter days' supply. Trends were similar with  <=60 vs >60 doses per month sub-groups and across all plan types. CONCLUSION: Increased days' supply and higher doses/month of IR @entity1287 in the prior 6 months may help to predict levels of HRU and costs in the following year, providing an opportunity to identify @entity1 in order to implement interventions to improve their quality of care.
