Automated Organization Profile

Department of Emergency Medicine, Mayo Clinic

Current S-Index

2.8

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.7

Average Dataset Index per dataset

Total Datasets

4

Total datasets in this organization

Average FAIR Score

25.0%

Average FAIR Score per dataset

Total Citations

1

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

ED outcomes code final.do (Version: 1.0)

No description available

Authors

  • Jeffery, Molly Moore ;
  • Hooten, Michael W. ;
  • Hess, Erik P. ;
  • Meara, Ellen ;
  • Ross, Joseph S. ;
  • Henk, Henry J. ;
  • Borgundvaag, Bjug ;
  • Shah, Nilay D. ;
  • Bellolio, M. Fernanda
0 Citations0 Mentions54% FAIR1.3 Dataset Index
10.21989/d9/piemr4/xwricuJanuary 2020

Opiod Prescribing.pdf (Version: 1.0)

No description available

Authors

  • Jeffery, Molly Moore ;
  • Hooten, Michael W. ;
  • Hess, Erik P. ;
  • Meara, Ellen ;
  • Ross, Joseph S. ;
  • Henk, Henry J. ;
  • Borgundvaag, Bjug ;
  • Shah, Nilay D. ;
  • Bellolio, M. Fernanda
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.21989/d9/piemr4/rnt0nmJanuary 2020

Replication Data for: Opioid Prescribing for Opioid-Naive Patients in Emergency Departments and Other Settings: Characteristics of Prescriptions and Association With Long-Term Use (Version: 1.0)

<p><b>Study Objective:</b> We explore the emergency department (ED) contribution to prescription opioid use for opioid-naive patients by comparing the guideline concordance of ED prescriptions with those attributed to other settings and the risk of patients’ continuing long-term opioid use.</p><p><b>Methods:</b> We used analysis of administrative claims data (OptumLabs Data Warehouse 2009 to 2015) of opioid-naive privately insured and Medicare Advantage (aged and disabled) beneficiaries to compare characteristics of opioid prescriptions attributed to the ED with those attributed to other settings. Concordance with Centers for Disease Control and Prevention (CDC) guidelines and rate of progression to long-term opioid use are reported.</p><p><b>Results:</b> We identified 5.2 million opioid prescription fills that met inclusion criteria. Opioid prescriptions from the ED were more likely to adhere to CDC guidelines for dose, days’ supply, and formulation than those attributed to non-ED settings. Disabled Medicare beneficiaries were the most likely to progress to long-term use, with 13.4% of their fills resulting in long-term use compared with 6.2% of aged Medicare and 1.8% of commercial beneficiaries’ fills. Compared with patients in non-ED settings, commercial beneficiaries receiving opioid prescriptions in the ED were 46% less likely, aged Medicare patients 56% less likely, and disabled Medicare patients 58% less likely to progress to long-term opioid use.</p><p><b>Conclusion:</b> Compared with non-ED settings, opioid prescriptions provided to opioid-naive patients in the ED were more likely to align with CDC recommendations. They were shorter, written for lower daily doses, and less likely to be for long-acting formulations. Prescriptions from the ED are associated with a lower risk of progression to long-term use.</p>

Authors

  • Jeffery, Molly Moore ;
  • Hooten, Michael W. ;
  • Hess, Erik P. ;
  • Meara, Ellen ;
  • Ross, Joseph S. ;
  • Henk, Henry J. ;
  • Borgundvaag, Bjug ;
  • Shah, Nilay D. ;
  • Bellolio, M. Fernanda
0 Citations0 Mentions15% FAIR0.3 Dataset Index
10.21989/d9/piemr4January 2020

Replication Data for: Trends in opioid use in commercially insured and Medicare Advantage populations in 2007-16: retrospective cohort study (Version: 1.0)

OBJECTIVE: To describe trends in the rate and daily dose of opioids used among commercial and Medicare Advantage beneficiaries from 2007 to 2016. DESIGN: Retrospective cohort study of administrative claims data. SETTING: National database of medical and pharmacy claims for commercially insured and Medicare Advantage beneficiaries in the United States. PARTICIPANTS: 48 million individuals with any period of insurance coverage between 1 January 2007 and 31 December 2016, including commercial beneficiaries, Medicare Advantage beneficiaries aged 65 years and over, and Medicare Advantage beneficiaries under age 65 years (eligible owing to permanent disability). MAIN ENDPOINTS: Proportion of beneficiaries with any opioid prescription per quarter, average daily dose in milligram morphine equivalents (MME), and proportion of opioid use episodes that represented long term use. RESULTS: Across all years of the study, annual opioid use prevalence was 14% for commercial beneficiaries, 26% for aged Medicare beneficiaries, and 52% for disabled Medicare beneficiaries. In the commercial beneficiary group, quarterly prevalence of opioid use changed little, starting and ending the study period at 6%; the average daily dose of 17 MME remained unchanged since 2011. For aged Medicare beneficiaries, quarterly use prevalence was also relatively stable, ranging from 11% at the beginning of the study period to 14% at the end. Disabled Medicare beneficiaries had the highest rates of opioid use, the highest rate of long term use, and the largest average daily doses. In this group, both quarterly use rates (39%) and average daily dose (56 MME) were higher at the end of 2016 than the low points observed in 2007 for each endpoint (26% prevalence and 53 MME). CONCLUSIONS: Opioid use rates were high during the study period of 2007-16, with the highest rates in disabled Medicare beneficiaries versus aged Medicare beneficiaries and commercial beneficiaries. Opioid use and average daily dose have not substantially declined from their peaks, despite increased attention to opioid abuse and awareness of their risks.

Authors

  • Jeffery, Molly Moore ;
  • Hooten, Michael W. ;
  • Henk, Henry J. ;
  • Bellolio, M. Fernanda ;
  • Hess, Erik P. ;
  • Meara, Ellen ;
  • Ross, Joseph S. ;
  • Shah, Nilay D.
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.21989/d9/cgg10oJanuary 2019