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

• Published in: Sexually transmitted diseases Vol. 49; no. 1; p. 38
• Main Authors: Todd, Jonathan V, Collins, Natalie Viator, Oakley, Jee, Menza, Timothy, Barber, Michelle, Kasarskis, Irina, Weresch, Andrew, Morgan, Shane, Jellison, Jim, Mishra, Ninad, Pérez, Alejandro, Karki, Saugat
• Format: Journal Article
• Language: English
• Published: United States 01.01.2022
• Subjects: Chlamydia; Chlamydia Infections - diagnosis; Chlamydia Infections - epidemiology; Gonorrhea - diagnosis; Gonorrhea - epidemiology; Humans; Oregon - epidemiology; Public Health; Sexually Transmitted Diseases - diagnosis; Sexually Transmitted Diseases - epidemiology; Sexually Transmitted Diseases - prevention & control; Oregon
• ISSN: 1537-4521
• DOI: 10.1097/OLQ.0000000000001507

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.