Literature DB >> 23486493

Chlamydia screening coverage estimates derived using healthcare effectiveness data and information system procedures and indirect estimation vary substantially.

Jennifer M Broad1, Lisa E Manhart, Roxanne P Kerani, Delia Scholes, James P Hughes, Matthew R Golden.   

Abstract

BACKGROUND: Screening coverage is an important determinant of chlamydial control program success.
OBJECTIVES: The aim of this study was to compare chlamydial screening coverage estimates.
METHODS: We compared 9 estimates among women aged 15 to 25 years in Washington State, 2009. Four used Healthcare Effectiveness Data and Information System (HEDIS) procedures among Group Health enrollees. Separate HEDIS estimates assessed all enrollees and the subset of women who used services; for each group, separate estimates defined the sexually active population using HEDIS methods or National Survey of Family Growth (NSFG) data. Three indirect screening estimates used census and NSFG data to define the population's size and derived the number of tests performed by dividing the number of reported cases by test positivity defined using data from different laboratories, adjusted for repeat testing. A fourth indirect estimate was adjusted for reason for testing. A direct-indirect estimate combined data on the number of tests performed in reporting laboratories and an indirect estimate of tests performed elsewhere.
RESULTS: Healthcare Effectiveness Data and Information System procedures and NSFG data yielded similar estimates of the percentage of women who were sexually active (60% vs. 61%). Screening coverage estimated by HEDIS was higher among Group Health users (43.6%) than among all enrollees (34.2%). Indirect screening coverage estimates varied from 46.4% to 68.7%. The direct-indirect estimate, which included a direct measure of the number of tests performed to identify 52% of reported cases, was 57.6%.
CONCLUSIONS: Most sexually active women aged 15 to 25 years in Washington State were screened for chlamydia in 2009. Healthcare Effectiveness Data and Information System methods may underestimate screening coverage. Health departments can derive population-based coverage estimates using data from large laboratories.

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Year:  2013        PMID: 23486493     DOI: 10.1097/OLQ.0b013e3182809776

Source DB:  PubMed          Journal:  Sex Transm Dis        ISSN: 0148-5717            Impact factor:   2.830


  4 in total

1.  Racial/Ethnic Disparities in the Lifetime Risk of Chlamydia trachomatis Diagnosis and Adverse Reproductive Health Outcomes Among Women in King County, Washington.

Authors:  Laura C Chambers; Christine M Khosropour; David A Katz; Julia C Dombrowski; Lisa E Manhart; Matthew R Golden
Journal:  Clin Infect Dis       Date:  2018-08-01       Impact factor: 9.079

2.  Estimating chlamydia screening coverage: a comparison of self-report and health care effectiveness data and information set measures.

Authors:  Christine M Khosropour; Jennifer M Broad; Delia Scholes; Jacquelyn Saint-Johnson; Lisa E Manhart; Matthew R Golden
Journal:  Sex Transm Dis       Date:  2014-11       Impact factor: 2.830

3.  Cost-Effectiveness of Opt-Out Chlamydia Testing for High-Risk Young Women in the U.S.

Authors:  Kwame Owusu-Edusei; Karen W Hoover; Thomas L Gift
Journal:  Am J Prev Med       Date:  2016-03-04       Impact factor: 5.043

4.  Understanding sexual activity and Chlamydia testing rate based on linked national survey and Medicaid claims data.

Authors:  Guoyu Tao; Jennifer Hua; Jessica L Chen
Journal:  PLoS One       Date:  2015-04-13       Impact factor: 3.240

  4 in total

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