1.
Wilson, N., Kariisa, M., Seth, P., Smith, H IV., Davis, NL. Drug and opioid-involved overdose deaths—United States, 2017-2018. MMWR Morb Mortal Wkly Rep. 2020;69(11):290-297.
doi:10.15585/mmwr.mm6911a4 32191688
Google Scholar |
Crossref |
Medline2.
North Carolina Department of Health and Human Services, North Carolina Injury & Violence Prevention Branch . Opioid-involved overdoses, 2018. Published 2020. .
https://www.injuryfreenc.ncdhhs.gov/DataSurveillance/Poisoning.htm Google Scholar3.
Kansagra, SM., Cohen, MK. The opioid epidemic in NC: progress, challenges, and opportunities. N C Med J. 2018;79(3):157-162.
doi:10.18043/ncm.79.3.157 29735617
Google Scholar |
Medline4.
Saloner, B., McGinty, EE., Beletsky, L et al. A public health strategy for the opioid crisis. Public Health Rep. 2018;133(1 suppl):24S-34S.
doi:10.1177/0033354918793627 30426871
Google Scholar |
SAGE Journals5.
Grover, JM., Alabdrabalnabi, T., Patel, MD et al. Measuring a crisis: questioning the use of naloxone administrations as a marker for opioid overdoses in a large U.S. EMS system. Prehosp Emerg Care. 2018;22(3):281-289.
doi:10.1080/10903127.2017.1387628 29297739
Google Scholar |
Crossref |
Medline6.
Mears, GD., Pratt, D., Glickman, SW et al. The North Carolina EMS data system: a comprehensive integrated emergency medical services quality improvement program. Prehosp Emerg Care. 2010;14(1):85-94.
doi:10.3109/10903120903349846 19947872
Google Scholar |
Crossref |
Medline7.
Zègre-Hemsey, JK., Asafu-Adjei, J., Fernandez, A., Brice, J. Characteristics of prehospital electrocardiogram use in North Carolina using a novel linkage of emergency medical services and emergency department data. Prehosp Emerg Care. 2019;23(6):772-779.
doi:10.1080/10903127.2019.1597230 30885071
Google Scholar |
Crossref |
Medline8.
North Carolina Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT) . Emergency department syndrome definitions. 2020. .
https://ncdetect.org/case-definitions/ Google Scholar9.
Centers for Disease Control and Prevention . International Classification of Diseases, Tenth Revision, Clinical Modification. .
https://www.cdc.gov/nchs/icd/icd10cm.htm Google Scholar10.
Swor, R., Qu, L., Putman, K et al. Challenges of using probabilistic linkage methodology to characterize post–cardiac arrest care in Michigan. Prehosp Emerg Care. 2018;22(2):208-213.
doi:10.1080/10903127.2017.1362086 28910207
Google Scholar |
Crossref |
Medline11.
Newgard, CD . Validation of probabilistic linkage to match de-identified ambulance records to a state trauma registry. Acad Emerg Med. 2006;13(1):69-75.
doi:10.1197/j.aem.2005.07.029 16365326
Google Scholar |
Crossref |
Medline12.
Hettinger, AZ., Cushman, JT., Shah, MN., Noyes, K. Emergency medical dispatch codes association with emergency department outcomes. Prehosp Emerg Care. 2013;17(1):29-37.
doi:10.3109/10903127.2012.710716 23140195
Google Scholar |
Crossref |
Medline13.
Redfield, C., Tlimat, A., Halpern, Y et al. Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department. J Am Med Inform Assoc. 2020;27(1):147-153.
doi:10.1093/jamia/ocz176 31605488
Google Scholar |
Crossref |
Medline14.
Bowers, KM., Shelton, J., Cortez, E., Lowe, R., Casey, J., Little, A. Administration of naloxone by prehospital personnel: a retrospective analysis. Cureus. 2019;11(9):e5602.
doi:10.7759/cureus.5602 31700715
Google Scholar |
Medline15.
Meisel, ZF., Shea, JA., Peacock, NJ et al. Optimizing the patient handoff between emergency medical services and the emergency department. Ann Emerg Med. 2015;65(3):310-317.
doi:10.1016/j.annemergmed.2014.07.003 25109535
Google Scholar |
Crossref |
Medline16.
Yong, G., Dent, AW., Weiland, TJ. Handover from paramedics: observations and emergency department clinician perceptions. Emerg Med Australas. 2008;20(2):149-155.
doi:10.1111/j.1742-6723.2007.01035.x 18062789
Google Scholar |
Medline
留言 (0)