Open AccessCan Diagnostic Codes in Health Care Claims Data Identify Confirmed Chlamydial and Gonococcal Infections? A Retrospective Cohort Study, 2003 to 2017
Author(s) -
Kerry Mauk,
Elizabeth Torrone,
Elaine W. Flagg
Publication year - 2021
Publication title -
sexually transmitted diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.507
H-Index - 105
eISSN - 1537-4521
pISSN - 0148-5717
DOI - 10.1097/olq.0000000000001454
Subject(s) - gonorrhea , medicine , chlamydia , diagnosis code , retrospective cohort study , cohort , confidence interval , cohort study , sexually transmitted disease , positive predicative value , family medicine , immunology , syphilis , predictive value , population , environmental health , human immunodeficiency virus (hiv)
Because most sources of administrative claims data do not contain laboratory result data, researchers rely on diagnosis codes to identify cases of disease. The validity of using diagnosis codes to identify chlamydial and gonococcal infections in administrative claims data remains largely uninvestigated.