Linkage of Public Health and All Payer Claims data for Population-Level Opioid Research
| Autor: | Christi Hildebran, Carissa J Bishop, Sara E. Hallvik, Sanae El Ibrahimi, Nazanin Dameshghi, Scott G. Weiner, Michelle Hendricks |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Epidemiology
Population 030226 pharmacology & pharmacy Article Data governance American Community Survey 03 medical and health sciences 0302 clinical medicine Medicine Humans Pharmacology (medical) 030212 general & internal medicine education Data Management education.field_of_study Actuarial science Data collection business.industry Health services research Opioid overdose Census medicine.disease Opioid-Related Disorders United States Analgesics Opioid Geocoding Prescription Drug Monitoring Programs Public Health business |
| Zdroj: | Pharmacoepidemiol Drug Saf |
| Popis: | OBJECTIVE. Our objective is to describe how we combine, at an individual level, multiple administrative datasets to create a Comprehensive Opioid Risk Registry (CORR). The CORR will characterize the role that individual characteristics, household characteristics, and community characteristics have on an individual’s risk of opioid use disorder or opioid overdose. DATA SOURCES. Study data sources include the voluntary Oregon All Payer Claims Database (APCD), American Community Survey Census Data, Oregon Death Certificate data, Oregon Hospital Discharge Data (HDD), and Oregon Prescription Drug Monitoring (PDMP) Data in 2013 through 2018. STUDY DESIGN. To create the CORR we first prepared the APCD data set by cleaning and geocoding addresses, creating a community grouper and adding census indices, creating household grouper, and imputing patient race. Then we deployed a probabilistic linkage methodology to incorporate other data sources maintaining compliance with strict data governance regulations. DATA COLLECTION / EXTRACTION METHODS. Administrative datasets were obtained through an executed data use agreement with each data owner. The APCD served as the population universe to which all other data sources were linked. PRINCIPAL FINDINGS. There were 3,628,992 unique people in the APCD over the entire study period. We identified 968,767 unique households in 2013 and 1,209,236 in 2018, and geocoded patient addresses representing all census tracts in Oregon. Census, death certificate, HDD, and PDMP datasets were successfully linked to this population universe. CONCLUSIONS. This methodology can be replicated in other states and may also apply to a broad array of health services research topics. |
| Databáze: | OpenAIRE |
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