Electronic Health Record Data for Lyme Disease Surveillance, Massachusetts, USA, 2017–2018

Nagavedu, Kshema; Eberhardt, Karen; Willis, Sarah; Morrison, Monica; Ochoa, Aileen; Soliva, Susan; Scotland, Sarah; Cocoros, Noelle M.; Callahan, Myfanwy; Randall, Liisa M.; Brown, Catherine M.; Klompas, Michael

doi:10.3201/eid3007.230942

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Electronic Health Record Data for Lyme Disease Surveillance, Massachusetts, USA, 2017–2018

7 2024
By Nagavedu, Kshema ; Eberhardt, Karen ; Willis, Sarah ; ...
http://dx.doi.org/10.3201/eid3007.230942
Source: Emerg Infect Dis. 2024; 30(7):1374-1379

[PDF-687.44 KB]

English

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Details:

Alternative Title:

Emerg Infect Dis
Personal Author:

Nagavedu, Kshema ; Eberhardt, Karen ; Willis, Sarah ; Morrison, Monica ; Ochoa, Aileen ; ... More +

Nagavedu, Kshema ; Eberhardt, Karen ; Willis, Sarah ; Morrison, Monica ; Ochoa, Aileen ; Soliva, Susan ; Scotland, Sarah ; Cocoros, Noelle M. ; Callahan, Myfanwy ; Randall, Liisa M. ; Brown, Catherine M. ; Klompas, Michael Less -
Description:

Lyme disease surveillance based on provider and laboratory reports underestimates incidence. We developed an algorithm for automating surveillance using electronic health record data. We identified potential Lyme disease markers in electronic health record data (laboratory tests, diagnosis codes, prescriptions) from January 2017-December 2018 in 2 large practice groups in Massachusetts, USA. We calculated their sensitivities and positive predictive values (PPV), alone and in combination, relative to medical record review. Sensitivities ranged from 57% (95% CI 47%-69%) for immunoassays to 87% (95% CI 70%-100%) for diagnosis codes. PPVs ranged from 53% (95% CI 43%-61%) for diagnosis codes to 58% (95% CI 50%-66%) for immunoassays. The combination of a diagnosis code and antibiotics within 14 days or a positive Western blot had a sensitivity of 100% (95% CI 86%-100%) and PPV of 82% (95% CI 75%-89%). This algorithm could make Lyme disease surveillance more efficient and consistent.
Subjects:

[+]

Algorithms Electronic Health Records History, 21st Century Humans Lyme Disease Population Surveillance
Keywords:

[+]

Bacteria Borrelia Burgdorferi Electronic Health Records Lyme Disease Massachusetts Public Health Surveillance Ticks United States Vector-borne Infections Zoonoses
Source:

Emerg Infect Dis. 2024; 30(7):1374-1379
Pubmed ID:

38916563
Pubmed Central ID:

PMC11210632
Document Type:

Journal Article
Place as Subject:

Massachusetts
Volume:

30
Issue:

7
Collection(s):

Emerging Infectious Diseases
Main Document Checksum:

[+]

urn:sha256:39fc54b495ff35b3c2755918d3e6c2219392d183326a39dbb3d8a78d1d0a5f91
Download URL:

https://stacks.cdc.gov/view/cdc/158090/cdc_158090_DS1.pdf
File Type:

	23-0942-Techapp-s1.pdf	pdf
	23-0942.nxml	xml

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