Patterns and predictors of opioid use among migraine patients at emergency departments: A retrospective database analysis

Cephalalgia ◽  
2020 ◽  
Vol 40 (13) ◽  
pp. 1489-1501
Author(s):  
Qiujun Shao ◽  
Karen L Rascati ◽  
Kenneth A Lawson ◽  
James P Wilson
Keyword(s):  
Emergency Department ◽  
Resource Utilization ◽  
Emergency Department Visit ◽  
Odds Ratio ◽  
Medication Use ◽  
Emergency Department Visits ◽  
Health Resource ◽  
Opioid Use ◽  
Health Resource Utilization ◽  
Opioid Users

Objectives To compare medication use and health resource utilization between migraineurs with evidence of opioid use at emergency department visit versus no opioid use at emergency department visit, and to examine predictors of opioid use among migraineurs at emergency department visits. Methods This was a retrospective study using REACHnet electronic health records (December 2013 to April 2017) from Baylor Scott & White Health Plan. The index date was defined as the first migraine-related emergency department visit after ≥6 months of enrollment. Adult patients with a migraine diagnosis and ≥6 months of continuous enrollment before and after their index dates were included. Descriptive statistics and bivariate analyses were used to compare medication use and health resource utilization between opioid users and non-opioid users. Multivariable logistic regression was used to examine predictors of opioid use at emergency department visits. Results A total of 788 migraineurs met eligibility criteria. Over one-third (n = 283, 35.9%) received ≥1 opioid medication during their index date emergency department visit. Morphine (n = 103, 13.1%) and hydromorphone (n = 85, 10.8%) were the most frequently used opioids. Opioid users had more hospitalizations and emergency department visits during their pre-index period (both p < 0.05). Significant ( p < 0.05) predictors of opioid use at emergency department visits included past migraine-related opioid use (2–4 prescriptions, Odds Ratio = 1.66; 5–9 prescriptions, Odds Ratio = 2.12; ≥10 prescriptions, Odds Ratio = 4.43), past non-migraine-related opioid use (≥10 prescriptions, Odds Ratio = 1.93), past emergency department visits (1–3 visits, Odds Ratio = 1.84), age (45–64 years, Odds Ratio = 1.45), and sleep disorder (Odds Ratio = 1.43), controlling for covariates. Conclusion Opioids were commonly given to migraineurs at emergency departments. Previous opioid use, health resource utilization, age, and specific comorbidities might be used to identify migraineurs with a high risk of opioid use.

Impact of emergency department opioid use on future health resource utilization among patients with migraine

2021 ◽  
Vol 61 (2) ◽  
pp. 287-299 ◽  
Author(s):  
Qiujun Shao ◽  
Karen L. Rascati ◽  
Kenneth A. Lawson ◽  
James P. Wilson ◽  
Sanket Shah ◽  
...  
Keyword(s):  
Emergency Department ◽  
Resource Utilization ◽  
Health Resource ◽  
Opioid Use ◽  
Future Health ◽  
Health Resource Utilization

EPR19-069: Opioid Use Among Cancer Patients Undergoing Surgery and Their Associated Risk of Re-admissions and Emergency Department Visits in the 1-Year Postsurgical Period

2019 ◽  
Vol 17 (3.5) ◽  
pp. EPR19-069 ◽  
Author(s):  
Siyana Kurteva ◽  
Robyn Tamblyn ◽  
Ari Meguerditchian
Keyword(s):  
Emergency Department ◽  
Cancer Patients ◽  
Healthcare System ◽  
Emergency Department Visits ◽  
Administrative Claims ◽  
Opioid Use ◽  
Opioid Prescription ◽  
Ed Visits ◽  
Opioid Users ◽  
The Impact

Background: Prescription opioid use and overdose has steadily increased over the past years, resulting in a dramatic increase in opioid-related emergency department (ED) visits and hospitalizations. Methods: This study used a prospective cohort of cancer patients having undergone surgery in Montreal (Quebec) to describe their post-discharge opioid use and identify potential patterns of unplanned health service use (ED visits, hospitalizations). Provincial health administrative claims were used to measure opioid dispensation as well as hospital re-admissions and ED visits. The hospital warehouse, patient chart and patient interview will be used to further describe patient’s medical profile. Marginal structural models will be used to model the association between use of opioids and risk of ED visits and hospitalizations. Inverse probability of treatment and censoring weights will be constructed to properly adjust for confounders that may be unbalanced between the opioid and non–opioid users as well as to account for competing risk due to mortality. Reasons for the re-admissions will also be presented as part of the analyses. Covariates will include patient comorbidities, medication history, and healthcare system characteristics such as nurse-to-patient and attending physician-to-patient ratios. Results (interim): A total of 821 were included in the study; of these, 73% (n=597) were admitted for a cancer procedure. At postoperative discharge, 605 (74%) of patients had at least one opioid dispensation, of which the majority (67%) were oxycodone with hydromorphone being the second most prescribed (28%). Among those who filled a prescription, mean age was 66 (13.4), 68% had no previous history of opioid use, and 10% have had 3 or more dispensing pharmacies in the year prior to admission, compared to less than 1% for the non–opioid users. Overall, 343 people refilled their opioid prescription at least once and 128 at least twice during the 1-year postoperative period. Among cancer patients who were opioid users, 214 ED visits occurred in the 1 year after surgery compared to only 40 for the non-cancer opioid users. Conclusion: This study will help to identify the risk profile of cancer patients who are most likely to continue using opioids for prolonged periods following surgical procedures as well as quantify the impact of opioid use and its associated burden on the healthcare system in order to identify areas for possible interventions.

scholarly journals P.035 Health System Utilization and Medication Use among Adults with Migraine in Alberta: An observational cohort study using Alberta administrative health data

2021 ◽  
Vol 48 (s3) ◽  
pp. S30-S30
Author(s):  
T Rajapakse ◽  
J Kassiri ◽  
J Mailo ◽  
M Nabipoor ◽  
J Bakal ◽  
...  
Keyword(s):  
Resource Utilization ◽  
Medication Use ◽  
Population Data ◽  
Case Definition ◽  
Health Resource ◽  
Health Resource Utilization ◽  
System Utilization ◽  
Migraine Prevalence ◽  
Icd 10 ◽  
Definition Of

Background: Migraine is costly to governments. Despite significant burden, Canada lacks population data regarding migraine prevalence, resource and medication utilization. We sought to characterize the demographics, health resource utilization, and medication use in an adult migraine cohort in Alberta. Methods: Migraine cohort: previously validated case definition of migraine (ICD 10 + dispensation of abortive and/or preventative migraine drug (04/2010-03/2016). Patients over 18 years, followed three years from index date [first dispensation of migraine medication]. Health resource utilization (HRU) assessed by emergency department (ED) visits, hospital admission and physician claims. Medication assessed province-wide dispensation database linkage. Patient demographics and Charlson Comorbidity Index (CCI) included. Results: Over 5 years: 53,333 migraine cases identified (mean age 40.5 years, 79% female). Common comorbidities: hypertension, COPD, diabetes mellitus, cancer, cerebrovascular disease. Mean CCI 0.55 (SD 1.06). Metropolitan patients: 48%, urban 34.6%, rural 17.4%. Initial migraine diagnosis: 46% by GP, 31% in ED. Rural patients present more to ED/hospital for care in 3-year follow-up (IRR 2.95 [2.83, 3.08]). Conclusions: Our migraine case definition is more specific than sensitive and underestimates Alberta’s migraine prevalence. Higher female prevalence as expected. Rurally, migraine care largely occurs in ED/hospital. Study of prevalence, HRU and medications may help inform health policy in Alberta and Canada.

scholarly journals The impact of high-risk and chronic opioid use among commercially insured endometriosis patients on health care resource utilization and costs in the United States

2020 ◽  
Vol 16 ◽  
pp. 174550652096589
Author(s):  
Stephanie J Estes ◽  
Ahmed M Soliman ◽  
Marko Zivkovic ◽  
Divyan Chopra ◽  
Xuelian Zhu
Keyword(s):  
Health Care ◽  
High Risk ◽  
Resource Utilization ◽  
Health Care Resource ◽  
Low Risk ◽  
Opioid Use ◽  
Health Care Resource Utilization ◽  
Outpatient Visits ◽  
Chronic Opioid Use ◽  
Opioid Users

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.

scholarly journals 195. Economic and Clinical Burden of Respiratory Virus Infections in Allogeneic Hematopoietic Cell Transplantation Recipients

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S226-S226
Author(s):  
Michael G Ison ◽  
Nelson Chao ◽  
Francisco M Marty ◽  
Seung Hyun Moon ◽  
Zhiji Zhang ◽  
...  
Keyword(s):  
Resource Utilization ◽  
Research Study ◽  
Viral Infections ◽  
Scientific Research ◽  
Health Resource ◽  
Health Resource Utilization ◽  
Allogeneic Hct ◽  
Study Investigator ◽  
Respiratory Viral Infections ◽  
One Year

Abstract Background Respiratory viruses (RV), including respiratory syncytial virus (RSV), influenza, parainfluenza virus (PIV), and human metapneumovirus (HMPV), frequently lead to serious complications such as lower respiratory tract infections and death in allogeneic hematopoietic cell transplantation (HCT) recipients. We used a large US claims database to compare the total reimbursement (TR), health resource utilization (HRU) and clinical outcomes between HCT patients with and without RV infections (RVI). Methods We used the Decision Resources Group Real World Evidence Data Repository to identify HCT recipients with date of service for the procedure from 1/1/2012-12/31/2017. We estimated the reimbursements from submitted charges using a reimbursement to charge ratio of 0.425. We examined the study outcomes in the year following HCT in patients with and without RVI. We also used a generalized linear model to determine adjusted TR stratified by the presence or absence of any acute or chronic graft-versus-host diseases (GVHD) after adjusting for age, health plan, underlying disease, stem cell source, number of comorbidities, baseline costs, and follow-up time. Results The study included 13,363 patients, representing 22% of HCTs reported to CIBMTR for the study period, of which 1,368 (10%) were coded with an RVI in the year following HCT: 578 (4%) RSV, 687 (5%) influenza, 166 (1%) PIV, and 181 (1%) HMPV. Unadjusted median TR were $132,395 higher for any RVI ($139,439 RSV, $101,963 influenza, $185,041 PIV and $248,029 HMPV) compared to those without RVI (Table 1). Adjusted TR were significantly higher for patients with any RVI compared to patients without that infection (p&lt; .01) with or without GVHD (Figure 1). Patients with any RVI had significantly longer length of stay (LOS) for the HCT hospitalization, readmission rate and LOS after HCT hospitalization compared to patients without RVI (p&lt; 0.05) (Table 2). A significantly higher proportion of patients with any RVI had pneumonia as compared to patients without that infection, irrespective of presence of GVHD (p&lt; .0001). Table 1: Total healthcare reimbursement within one year of undergoing allogeneic HCT for patients with and without respiratory viral infections Figure 1: Adjusted total reimbursements within one year of undergoing allogeneic HCT for patients with and without respiratory viral infections Table 2: Health resource utilization within one year of undergoing allogeneic HCT for patients with and without respiratory viral infections Conclusion Allogeneic HCT patients with RVI have a significantly higher burden of TR, health resource utilization and worse clinical outcomes such as pneumonia during one year of undergoing HCT, regardless of the presence of GVHD. Disclosures Michael G. Ison, MD MS, AlloVir (Consultant) Francisco M. Marty, MD, Allovir (Consultant)Amplyx (Consultant)Ansun (Scientific Research Study Investigator)Avir (Consultant)Cidara (Scientific Research Study Investigator)F2G (Consultant, Scientific Research Study Investigator)Kyorin (Consultant)Merck (Consultant, Grant/Research Support, Scientific Research Study Investigator)New England Journal of Medicine (Other Financial or Material Support, Honorarium for Video)Regeneron (Consultant, Scientific Research Study Investigator)ReViral (Consultant)Scynexis (Scientific Research Study Investigator)Symbio (Consultant)Takeda (Scientific Research Study Investigator)United Medical (Consultant)WHISCON (Scientific Research Study Investigator) Seung Hyun Moon, MD, MPA, AlloVir (Employee, Shareholder) Zhiji Zhang, MS, AlloVir (Independent Contractor) Aastha Chandak, PhD, AlloVir (Independent Contractor)

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