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Chlamydia Screening Coverage Estimates Derived Using Healthcare Effectiveness Data and Information System Procedures and Indirect Estimation Vary Substantially

Screening coverage is an important determinant of chlamydial control program success. The aim of this study was to compare chlamydial screening coverage estimates. We compared 9 estimates among women aged 15 to 25 years in Washington State, 2009. Four used Healthcare Effectiveness Data and Informati...

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Published in:Sexually transmitted diseases 2013-04, Vol.40 (4), p.292-297
Main Authors: Broad, Jennifer M., Manhart, Lisa E., Kerani, Roxanne P., Scholes, Delia, Hughes, James P., Golden, Matthew R.
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cited_by cdi_FETCH-LOGICAL-c436t-654e282aceb32f0ce71ced2bd256e18ced9c9e6fd3a2347f627a786e586dbaab3
cites cdi_FETCH-LOGICAL-c436t-654e282aceb32f0ce71ced2bd256e18ced9c9e6fd3a2347f627a786e586dbaab3
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container_title Sexually transmitted diseases
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creator Broad, Jennifer M.
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description Screening coverage is an important determinant of chlamydial control program success. The aim of this study was to compare chlamydial screening coverage estimates. 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. 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%. 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.
doi_str_mv 10.1097/OLQ.0b013e3182809776
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source Applied Social Sciences Index & Abstracts (ASSIA); JSTOR Archival Journals and Primary Sources Collection
subjects Adolescent
Adult
Chlamydia
Chlamydia Infections - diagnosis
Chlamydia Infections - epidemiology
Chlamydia Infections - prevention & control
Chlamydia trachomatis - isolation & purification
Comparative analysis
Coverage
Databases, Factual
Disease control
Effectiveness studies
Female
Health care
Humans
Information Systems
Mass Screening
Medical screening
Models, Theoretical
Original Study
Reproducibility of Results
Reproductive Health Services
Screening
Sentinel Surveillance
Sexual behaviour
Statistics as Topic
Washington - epidemiology
Women
title Chlamydia Screening Coverage Estimates Derived Using Healthcare Effectiveness Data and Information System Procedures and Indirect Estimation Vary Substantially
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