Treatment approaches and outcome trajectories for youth with high‐risk opioid use: A narrative review

Author(s):  
Jean Nicolas Westenberg ◽  
Andy M. Y. Tai ◽  
Julie Elsner ◽  
Mostafa M. Kamel ◽  
James S. H. Wong ◽  
...  
2020 ◽  
Vol 16 ◽  
pp. 174550652096589
Author(s):  
Stephanie J Estes ◽  
Ahmed M Soliman ◽  
Marko Zivkovic ◽  
Divyan Chopra ◽  
Xuelian Zhu

Objectives: Evaluate all-cause and endometriosis-related health care resource utilization and costs among newly diagnosed endometriosis patients with high-risk versus low-risk opioid use or patients with chronic versus non-chronic opioid use. Methods: A retrospective analysis of IBM MarketScan® Commercial Claims data from 2009 to 2018 was performed for females aged 18 to 49 with newly diagnosed endometriosis (International Classification of Diseases, Ninth Edition code: 617.xx; International Classification of Diseases, Tenth Edition code: N80.xx). Two sub-cohorts were identified: high-risk (⩾1 day with ⩾90 morphine milligram equivalents per day or ⩾1-day concomitant benzodiazepine use) or chronic opioid utilization (⩾90-day supply prescribed or ⩾10 opioid prescriptions). High-risk or chronic utilization was evaluated during the 12-month assessment period after the index date. Index date was the first opioid prescription within 12 months following endometriosis diagnosis. All outcomes were assessed over 12-month post-assessment period while adjusting for demographic and clinical characteristics. Results: Out of 61,019 patients identified, 18,239 had high-risk opioid use and 5001 chronic opioid use. Health care resource utilization drivers were outpatient visits and pharmacy fills, which were higher among high-risk versus low-risk patients (outpatient visits: 17.49 vs 15.51; pharmacy fills: 19.58 vs 16.88, p < 0.0001). Chronic opioid users had a higher number of outpatient visits (19.53 vs 15.00, p < 0.0001) and pharmacy fills (23.18 vs 16.43, p < 0.0001) compared to non-chronic opioid users. High-risk opioid users had significantly higher all-cause health care costs compared to low-risk opioid users (US$16,377 vs US$13,153; p < 0.0001). Chronic opioid users also had significantly higher all-cause health care costs compared to non-chronic opioid users (US$20,930 vs US$12,272; p < 0.0001). Similar patterns were observed among endometriosis-related HCRU, except pharmacy fills among high-risk and chronic sub-cohorts. Conclusion: This analysis demonstrates significantly higher all-cause and endometriosis-related health care resource utilization and total costs for high-risk opioid users compared to low-risk opioid users among newly diagnosed endometriosis patients over 1 year. Similar trends were observed for comparing chronic opioid users with non-chronic opioid users, except for endometriosis-related pharmacy fills and associated costs.


2018 ◽  
Vol 21 ◽  
pp. S2
Author(s):  
W Lo-Ciganic ◽  
WF Gellad ◽  
L Zhou ◽  
JM Donohue ◽  
A Roubal ◽  
...  

2021 ◽  
Vol 6 ◽  
Author(s):  
Cara Jane Bergo ◽  
Jennifer R. Epstein ◽  
Stacey Hoferka ◽  
Marynia Aniela Kolak ◽  
Mai T. Pho

The current opioid crisis and the increase in injection drug use (IDU) have led to outbreaks of HIV in communities across the country. These outbreaks have prompted country and statewide examination into identifying factors to determine areas at risk of a future HIV outbreak. Based on methodology used in a prior nationwide county-level analysis by the US Centers for Disease Control and Prevention (CDC), we examined Illinois at the ZIP code level (n = 1,383). Combined acute and chronic hepatitis C virus (HCV) infection among persons &lt;40 years of age was used as an outcome proxy measure for IDU. Local and statewide data sources were used to identify variables that are potentially predictive of high risk for HIV/HCV transmission that fell within three main groups: health outcomes, access/resources, and the social/economic/physical environment. A multivariable negative binomial regression was performed with population as an offset. The vulnerability score for each ZIP code was created using the final regression model that consisted of 11 factors, six risk factors, and five protective factors. ZIP codes identified with the highest vulnerability ranking (top 10%) were distributed across the state yet focused in the rural southern region. The most populous county, Cook County, had only one vulnerable ZIP code. This analysis reveals more areas vulnerable to future outbreaks compared to past national analyses and provides more precise indications of vulnerability at the ZIP code level. The ability to assess the risk at sub-county level allows local jurisdictions to more finely tune surveillance and preventive measures and target activities in these high-risk areas. The final model contained a mix of protective and risk factors revealing a heightened level of complexity underlying the relationship between characteristics that impact HCV risk. Following this analysis, Illinois prioritized recommendations to include increasing access to harm reduction services, specifically sterile syringe services, naloxone access, infectious disease screening and increased linkage to care for HCV and opioid use disorder.


2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Gracia M. Vargas ◽  
Vidhya Gunaseelan ◽  
Lily Upp ◽  
Katherine J. Deans ◽  
Peter C. Minneci ◽  
...  

Author(s):  
Jessica B. Rubin ◽  
Jennifer C. Lai ◽  
Samuel Leonard ◽  
Karen Seal ◽  
Katherine J. Hoggatt ◽  
...  

2019 ◽  
Vol 74 (5) ◽  
pp. 611-621 ◽  
Author(s):  
Zachary F. Meisel ◽  
Nicoleta Lupulescu-Mann ◽  
Christina J. Charlesworth ◽  
Hyunjee Kim ◽  
Benjamin C. Sun

2018 ◽  
Vol 33 (12) ◽  
pp. 2156-2162 ◽  
Author(s):  
Yongkang Zhang ◽  
Phyllis Johnson ◽  
Philip J. Jeng ◽  
M. Carrington Reid ◽  
Lisa R. Witkin ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document