scholarly journals Data resource profile: Norwegian Databases for Drug Utilization and Pharmacoepidemiology

2021 ◽  
Vol 29 (1-2) ◽  
Author(s):  
Hilchen Thode Sommerschild ◽  
Christian Lie Berg ◽  
Christian Jonasson ◽  
Kari Jansdotter Husabø ◽  
Mohammad Nouri Sharikabad
Keyword(s):  
Drug Utilization ◽  
Prescription Drugs ◽  
Historical Background ◽  
Prescription Database ◽  
Total Sale ◽  
Data Resource ◽  
Aggregated Data ◽  
Individual Level ◽  
Drug Databases ◽  
Utilization Data

In this article we aim to give researchers and other users of drug utilization data a current overview of the twonationwide Norwegian drug databases located at the Norwegian Institute of Public Health (NIPH), withreference to some historical background. The first database, “The Norwegian Drug Wholesales Statistics”,dating back to 1974, provides total sale figures of all medicines on the market. The second database, “TheNorwegian Prescription Database” (NorPD), dates back to 2004 and covers prescription drugs dispensed bypharmacies. This database will be modernized during 2021 and renamed (“The Norwegian Prescribed DrugRegistry”, name not finally decided), and all historical data will be migrated to the modernized registry. In thefuture, the most valuable add-on to the modernized prescription database will be individual level data fromin-patients in hospitals and health care institutions, and the possibility to obtain aggregated data from eachinstitution. Together, the two nationwide databases will continue to be the cornerstones of drug utilization data in Norway and should be used more extensively to improve health to the best for individuals and society. Development in national e-health programs will play a key role in providing easier and less time-consuming access to data and improve conditions for linkage of drug data to other health registries in the near future.

scholarly journals Internet search and medicaid prescription drug data as predictors of opioid emergency department visits

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Sean D. Young ◽  
Qingpeng Zhang ◽  
Jiandong Zhou ◽  
Rosalie Liccardo Pacula
Keyword(s):  
Emergency Department ◽  
Prescription Drug ◽  
Drug Utilization ◽  
Prediction Models ◽  
Emergency Department Visits ◽  
Treatment Preferences ◽  
Internet Search ◽  
Utilization Data ◽  
Ed Visits ◽  
Medicaid Prescription

AbstractThe primary contributors to the opioid crisis continue to rapidly evolve both geographically and temporally, hampering the ability to halt the growing epidemic. To address this issue, we evaluated whether integration of near real-time social/behavioral (i.e., Google Trends) and traditional health care (i.e., Medicaid prescription drug utilization) data might predict geographic and longitudinal trends in opioid-related Emergency Department (ED) visits. From January 2005 through December 2015, we collected quarterly State Drug Utilization Data; opioid-related internet search terms/phrases; and opioid-related ED visit data. Modeling was conducted using least absolute shrinkage and selection operator (LASSO) regression prediction. Models combining Google and Medicaid variables were a better fit and more accurate (R2 values from 0.913 to 0.960, across states) than models using either data source alone. The combined model predicted sharp and state-specific changes in ED visits during the post 2013 transition from heroin to fentanyl. Models integrating internet search and drug utilization data might inform policy efforts about regional medical treatment preferences and needs.

scholarly journals Torsadogenic Risk of Antipsychotics: Combining Adverse Event Reports with Drug Utilization Data across Europe

PLoS ONE ◽  
2013 ◽  
Vol 8 (11) ◽  
pp. e81208 ◽  
Author(s):  
Emanuel Raschi ◽  
Elisabetta Poluzzi ◽  
Brian Godman ◽  
Ariola Koci ◽  
Ugo Moretti ◽  
...  
Keyword(s):  
Adverse Event ◽  
Drug Utilization ◽  
Utilization Data

scholarly journals Aspects of statin prescribing in Norwegian counties with high, average and low statin consumption – an individual-level prescription database study

2007 ◽  
Vol 7 (1) ◽  
Author(s):  
Ingeborg Hartz ◽  
Solveig Sakshaug ◽  
Kari Furu ◽  
Anders Engeland ◽  
Anne Elise Eggen ◽  
...  
Keyword(s):  
Prescription Database ◽  
Database Study ◽  
Individual Level

Diabetes Care Provided to Children Displaced by Hurricane Katrina

2015 ◽  
Vol 9 (5) ◽  
pp. 480-483 ◽  
Author(s):  
Troy Quast ◽  
Karoline Mortensen
Keyword(s):  
Hurricane Katrina ◽  
Diabetes Management ◽  
Control Group ◽  
Individual Level ◽  
Management Procedures ◽  
Before And After ◽  
Waiver Program ◽  
Utilization Data ◽  
Eye Exams ◽  
The Impact

AbstractObjectiveAlthough previous studies have examined the impact of Hurricane Katrina on adults with diabetes, less is known about the effects on children with diabetes and on those displaced by the storm. We analyzed individual-level enrollment and utilization data of children with diabetes who were displaced from Louisiana and were enrolled in the Texas Medicaid Hurricane Katrina emergency waiver (TexKat).MethodsWe compared the utilization and outcomes of children displaced from Louisiana with those of children who lived in areas less affected by Hurricane Katrina. Data from both before and after the storm were used to calculate difference-in-difference estimates of the effects of displacement on the children. We analyzed 4 diabetes management procedures (glycated hemoglobin [HbA1C] tests, eye exams, microalbumin tests, and thyroid tests) and a complication from poor diabetes management (diabetic ketoacidosis).ResultsChildren enrolled in the waiver generally did not experience a decrease in care relative to the control group while the waiver program was in effect. After the waiver ended, however, we observed a drop in care and an increase in complications relative to the control group.ConclusionsAlthough the waiver appeared to have been largely successful immediately following Katrina, future waivers may be improved by ensuring that enrollees continue to receive care after the waivers expire. (Disaster Med Public Health Preparedness. 2015;9:480–483)

scholarly journals The Scanian Economic-Demographic Database (SEDD)

2020 ◽  
Author(s):  
Martin Dribe ◽  
Luciana Quaranta
Keyword(s):  
Data Resource ◽  
Individual Level ◽  
Intermediate Data ◽  
Linkage Methods ◽  
Wide Range ◽  
Rural Parishes ◽  
The Family ◽  
Source Data ◽  
The Individual ◽  
The City

The Scanian Economic-Demographic Database (SEDD) is a high-quality longitudinal data resource spanning the period 1646-1967. It covers all individuals born in or migrated to the city of Landskrona and five rural parishes in western Scania in southern Sweden. The entire population present in the area is fully covered after 1813. At the individual level, SEDD combines various demographic and socioeconomic records, including causes of death, place of birth and geographic data on the place of residence within a parish. At the family level, the data contain a combination of demographic records and information on occupation, landholding and income. The data for 1813-1967 was structured in the model of the Intermediate Data Structure (IDS). In addition to storing source data in the SEDD IDS tables, a wide range of individual- and context-level variables were constructed, which means that most types of analyses using SEDD can be conducted without the need of further elaboration of the data. This article discusses the source material, linkage methods, and structure of the database.

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