Advanced models for improved prediction of opioid-related overdose and suicide events among Veterans using administrative healthcare data-Reference-Cited by-同舟云学术

Advanced models for improved prediction of opioid-related overdose and suicide events among Veterans using administrative healthcare data

Published:2021-11-02 Issue: Volume: Page:
ISSN:1387-3741
Container-title:Health Services and Outcomes Research Methodology
language:en
Short-container-title:Health Serv Outcomes Res Method

Author:

Ward Ralph^ORCID,Weeda Erin^ORCID,Taber David J.,Axon Robert Neal,Gebregziabher Mulugeta^ORCID

Funder

U.S. Department of Veterans Affairs

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health,Health Policy

Link

https://link.springer.com/content/pdf/10.1007/s10742-021-00263-7.pdf

Reference37 articles.

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2. Bohnert, A.S.B., Ilgen, M.A., Trafton, J.A., Kerns, R.D., Eisenberg, A., Ganoczy, D., Blow, F.C.: Trends and regional variation in opioid overdose mortality among Veterans Health Administration patients, fiscal year 2001 to 2009. Clin J Pain 30(7), 605–612 (2014)

3. Cacciola, J.S., Alterman, A.I., Dephilippis, D., et al.: Development and initial evaluation of the Brief Addiction Monitor (BAM). J Subst Abuse Treat. 44(3), 256–263 (2013). https://doi.org/10.1016/j.jsat.2012.07.013

4. Center of Excellence for Mortality Data Repository. Joint Department of Veterans Affairs (VA) and Department of Defense (DoD) Suicide Data Repository – National Death Index (NDI). http://www.dspo.mil/Portals/113/Documents/SDR%20Fact%20Sheet.pdf; extract date 3/20/2020.

5. Centers for disease control Factsheet on drug poisoning. Downloaded from https://www.cdc.gov/nchs/factsheets/factsheet_drug_poisoning.pdf, accessed 13 March 2019.

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