Automating Case Reporting of Chlamydia and Gonorrhea to Public Health Authorities in Oregon Clinics.


Journal

Sexually transmitted diseases
ISSN: 1537-4521
Titre abrégé: Sex Transm Dis
Pays: United States
ID NLM: 7705941

Informations de publication

Date de publication:
01 01 2022
Historique:
pubmed: 8 10 2021
medline: 18 3 2022
entrez: 7 10 2021
Statut: ppublish

Résumé

Optimizing sexually transmitted disease (STD) reporting to state public health authorities is important to reduce incidence and manage outbreaks of STDs. Electronic laboratory reporting (ELR) is the standard through which local clinics report STDs to state public health authority. Electronic case reporting (eCR) is an alternative approach which automates transmission of case reports to public health jurisdictions using electronic health record (EHR) data. Working with 3 community health centers in Oregon between February 3, 2020 and May 15, 2020, we piloted an automated eCR approach for gonorrhea (GC) and chlamydia (CT) from these clinics to the Oregon Health Authority. We compared the eCR approach to the existing ELR approach to determine completeness of case reporting for GC/CT. A total of 365 eCRs from 206 unique patients were generated. Among 154 instances where the case detection logic was satisfied for CT, 37% (54 instances) were based on the presence of a diagnosis and 63% (97 instances) were based on laboratory data. Among 232 instances where logic was satisfied for GC, 44% (102 instances) reflected a diagnosis and 56% (130 instances) reflected laboratory results. Data completeness was uniformly equal or higher for eCRs versus ELRs. The eCR approach was successful in identifying CT and GC cases and provided a more complete set of information to assist public health authorities when compared with ELRs. Electronic case reporting has the potential to automate and relieve staff burden on an important reporting requirement for clinical providers.

Sections du résumé

BACKGROUND
Optimizing sexually transmitted disease (STD) reporting to state public health authorities is important to reduce incidence and manage outbreaks of STDs. Electronic laboratory reporting (ELR) is the standard through which local clinics report STDs to state public health authority. Electronic case reporting (eCR) is an alternative approach which automates transmission of case reports to public health jurisdictions using electronic health record (EHR) data.
METHODS
Working with 3 community health centers in Oregon between February 3, 2020 and May 15, 2020, we piloted an automated eCR approach for gonorrhea (GC) and chlamydia (CT) from these clinics to the Oregon Health Authority. We compared the eCR approach to the existing ELR approach to determine completeness of case reporting for GC/CT.
RESULTS
A total of 365 eCRs from 206 unique patients were generated. Among 154 instances where the case detection logic was satisfied for CT, 37% (54 instances) were based on the presence of a diagnosis and 63% (97 instances) were based on laboratory data. Among 232 instances where logic was satisfied for GC, 44% (102 instances) reflected a diagnosis and 56% (130 instances) reflected laboratory results. Data completeness was uniformly equal or higher for eCRs versus ELRs.
CONCLUSIONS
The eCR approach was successful in identifying CT and GC cases and provided a more complete set of information to assist public health authorities when compared with ELRs. Electronic case reporting has the potential to automate and relieve staff burden on an important reporting requirement for clinical providers.

Identifiants

pubmed: 34618780
doi: 10.1097/OLQ.0000000000001507
pii: 00007435-202201000-00008
pmc: PMC10258727
mid: NIHMS1903911
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

38-42

Subventions

Organisme : Intramural CDC HHS
ID : CC999999
Pays : United States
Organisme : OSTLTS CDC HHS
ID : U38 OT000216
Pays : United States

Informations de copyright

Copyright © 2021 American Sexually Transmitted Diseases Association. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of Interest and Sources of Funding: None declared.

Références

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Auteurs

Natalie Viator Collins (NV)

Public Health Informatics Institute, Decatur, GA.

Jee Oakley (J)

From the OCHIN, Inc.

Michelle Barber (M)

Public Health Division, Oregon Health Authority, Salem, OR.

Irina Kasarskis (I)

Public Health Division, Oregon Health Authority, Salem, OR.

Andrew Weresch (A)

From the OCHIN, Inc.

Shane Morgan (S)

From the OCHIN, Inc.

Jim Jellison (J)

Public Health Informatics Institute, Decatur, GA.

Ninad Mishra (N)

Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.

Alejandro Pérez (A)

Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.

Saugat Karki (S)

Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.

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