Ho, Yenling A.Rahurkar, SaurabhTao, GuoyuPatel, Chirag G.Arno, Janet N.Wang, JaneBroyles, Andrea A.Dixon, Brian E.2020-10-092020-10-092020-07Ho, Y. A., Rahurkar, S., Tao, G., Patel, C. G., Arno, J. N., Wang, J., Broyles, A. A., & Dixon, B. E. (2020). Validation of ICD-10-CM Codes for Identifying Cases of Chlamydia and Gonorrhea. Sexually Transmitted Diseases, Publish Ahead of Print. https://doi.org/10.1097/OLQ.0000000000001257https://hdl.handle.net/1805/24027Background While researchers seek to use administrative health data to examine outcomes for individuals with sexually transmitted infections, the ICD-CM-10 codes used to identify persons with chlamydia and gonorrhea have not been validated. Objectives were to determine the validity of using ICD-10-CM codes to identify individuals with chlamydia and gonorrhea. Methods We utilized data from electronic health records gathered from public and private health systems from October 1, 2015 to December 31, 2016. Patients were included if they were aged 13-44 years and received either 1) laboratory testing for chlamydia or gonorrhea or 2) an ICD-10-CM diagnosis of chlamydia, gonorrhea, or an unspecified STI. To validate ICD-10-CM codes, we calculated positive and negative predictive values, sensitivity, and specificity based on the presence of a laboratory test result. We further examined the timing of clinical diagnosis relative to laboratory testing. Results The positive predictive values for chlamydia, gonorrhea, and unspecified STI ICD-10-CM codes were 87.6%, 85.0%, and 32.0%, respectively. Negative predictive values were high (>92%). Sensitivity for chlamydia diagnostic codes was 10.6% and gonorrhea was 9.7%. Specificity was 99.9% for both chlamydia and gonorrhea. The date of diagnosis occurred on or after the date of the laboratory result for 84.8% of persons with chlamydia, 91.9% for gonorrhea, and 23.5% for unspecified STI. Conclusions Disease specific ICD-10-CM codes accurately identify persons with chlamydia and gonorrhea. However, low sensitivities suggest that most individuals could not be identified in administrative data alone without laboratory test results.enPublisher PolicyICD-10-CMadministrative health datachlamydiaArticle