Literature DB >> 32740450

Validation of International Classification of Diseases, Tenth Revision, Clinical Modification Codes for Identifying Cases of Chlamydia and Gonorrhea.

Yenling Andrew Ho1, Saurabh Rahurkar, Guoyu Tao2, Chirag G Patel2, Janet N Arno, Jane Wang3, Andrea A Broyles3, Brian E Dixon.   

Abstract

BACKGROUND: While researchers seek to use administrative health data to examine outcomes for individuals with sexually transmitted infections (STIs), the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) 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 used 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 to 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.
Copyright © 2020 American Sexually Transmitted Diseases Association. All rights reserved.

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Year:  2021        PMID: 32740450      PMCID: PMC7855200          DOI: 10.1097/OLQ.0000000000001257

Source DB:  PubMed          Journal:  Sex Transm Dis        ISSN: 0148-5717            Impact factor:   3.868


  24 in total

1.  Incidence and prevalence of epilepsy among older U.S. Medicare beneficiaries.

Authors:  E Faught; J Richman; R Martin; E Funkhouser; R Foushee; P Kratt; Y Kim; K Clements; N Cohen; D Adoboe; R Knowlton; M Pisu
Journal:  Neurology       Date:  2012-01-18       Impact factor: 9.910

2.  Measuring antidepressant prescribing practice in a health care system using administrative data: implications for quality measurement and improvement.

Authors:  E A Kerr; E A McGlynn; K A Van Vorst; S L Wickstrom
Journal:  Jt Comm J Qual Improv       Date:  2000-04

3.  Public Health Surveillance: Electronic Reporting as a Point of Reference.

Authors:  Jennifer Black; Rachel Hulkower; Walter Suarez; Shreya Patel; Brandon Elliott
Journal:  J Law Med Ethics       Date:  2019-06       Impact factor: 1.718

4.  Total knee arthroplasty volume, utilization, and outcomes among Medicare beneficiaries, 1991-2010.

Authors:  Peter Cram; Xin Lu; Stephen L Kates; Jasvinder A Singh; Yue Li; Brian R Wolf
Journal:  JAMA       Date:  2012-09-26       Impact factor: 56.272

5.  The incidence of herpes zoster in a United States administrative database.

Authors:  Ralph P Insinga; Robbin F Itzler; James M Pellissier; Patricia Saddier; Alexander A Nikas
Journal:  J Gen Intern Med       Date:  2005-08       Impact factor: 5.128

Review 6.  Completeness of notifiable infectious disease reporting in the United States: an analytical literature review.

Authors:  Timothy J Doyle; M Kathleen Glynn; Samuel L Groseclose
Journal:  Am J Epidemiol       Date:  2002-05-01       Impact factor: 4.897

7.  The Indiana network for patient care: an integrated clinical information system informed by over thirty years of experience.

Authors:  Paul G Biondich; Shaun J Grannis
Journal:  J Public Health Manag Pract       Date:  2004-11

8.  Accuracy of ICD-9-CM coding for the identification of patients with acute ischemic stroke: effect of modifier codes.

Authors:  L B Goldstein
Journal:  Stroke       Date:  1998-08       Impact factor: 7.914

Review 9.  Systematic review of validation studies of the use of administrative data to identify serious infections.

Authors:  Claire Barber; Diane Lacaille; Paul R Fortin
Journal:  Arthritis Care Res (Hoboken)       Date:  2013-08       Impact factor: 4.794

10.  Economic cost and epidemiological characteristics of patients with fibromyalgia claims.

Authors:  Rebecca L Robinson; Howard G Birnbaum; Melissa A Morley; Tamar Sisitsky; Paul E Greenberg; Ami J Claxton
Journal:  J Rheumatol       Date:  2003-06       Impact factor: 4.666

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  1 in total

1.  Access to Healthcare and the Utilization of Sexually Transmitted Infections Among Homeless Medicaid Patients 15 to 44 Years of Age.

Authors:  Chirag G Patel; Samantha P Williams; Guoyu Tao
Journal:  J Community Health       Date:  2022-07-10
  1 in total

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