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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 |
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creator | Broad, Jennifer M. Manhart, Lisa E. Kerani, Roxanne P. Scholes, Delia Hughes, James P. Golden, Matthew R. |
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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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.</description><identifier>ISSN: 0148-5717</identifier><identifier>EISSN: 1537-4521</identifier><identifier>DOI: 10.1097/OLQ.0b013e3182809776</identifier><identifier>PMID: 23486493</identifier><identifier>CODEN: STRDDM</identifier><language>eng</language><publisher>United States: Lippincott Williams & Wilkins, a business of Wolters Kluwer Health</publisher><subject>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</subject><ispartof>Sexually transmitted diseases, 2013-04, Vol.40 (4), p.292-297</ispartof><rights>Copyright © 2013 American Sexually Transmitted Diseases Association</rights><rights>Copyright Lippincott Williams & Wilkins Apr 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c436t-654e282aceb32f0ce71ced2bd256e18ced9c9e6fd3a2347f627a786e586dbaab3</citedby><cites>FETCH-LOGICAL-c436t-654e282aceb32f0ce71ced2bd256e18ced9c9e6fd3a2347f627a786e586dbaab3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/48511557$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/48511557$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,778,782,27911,27912,30986,30987,58225,58458</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23486493$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Broad, Jennifer M.</creatorcontrib><creatorcontrib>Manhart, Lisa E.</creatorcontrib><creatorcontrib>Kerani, Roxanne P.</creatorcontrib><creatorcontrib>Scholes, Delia</creatorcontrib><creatorcontrib>Hughes, James P.</creatorcontrib><creatorcontrib>Golden, Matthew R.</creatorcontrib><title>Chlamydia Screening Coverage Estimates Derived Using Healthcare Effectiveness Data and Information System Procedures and Indirect Estimation Vary Substantially</title><title>Sexually transmitted diseases</title><addtitle>Sex Transm Dis</addtitle><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.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Chlamydia</subject><subject>Chlamydia Infections - diagnosis</subject><subject>Chlamydia Infections - epidemiology</subject><subject>Chlamydia Infections - prevention & control</subject><subject>Chlamydia trachomatis - isolation & purification</subject><subject>Comparative analysis</subject><subject>Coverage</subject><subject>Databases, Factual</subject><subject>Disease control</subject><subject>Effectiveness studies</subject><subject>Female</subject><subject>Health care</subject><subject>Humans</subject><subject>Information Systems</subject><subject>Mass Screening</subject><subject>Medical screening</subject><subject>Models, Theoretical</subject><subject>Original Study</subject><subject>Reproducibility of Results</subject><subject>Reproductive Health Services</subject><subject>Screening</subject><subject>Sentinel Surveillance</subject><subject>Sexual behaviour</subject><subject>Statistics as Topic</subject><subject>Washington - epidemiology</subject><subject>Women</subject><issn>0148-5717</issn><issn>1537-4521</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNqNkc9u1DAQxi0EosvCGwCyxIVLiseOY-eIlkIrrVTQUq7RxJm0WWWTYjuV8jS8Kg7b9tATJ_-Z3_eNZj7G3oI4BVGaT5fbH6eiFqBIgZU2fZniGVuBVibLtYTnbCUgt5k2YE7YqxD2YnkLeMlOpMptkZdqxf5sbno8zE2HfOc80dAN13wz3pHHa-JnIXYHjBT4F_LdHTX8KizAOWEfbxz6hLQtuZhqA4WEYUSOQ8Mvhnb0SdqNA9_NIdKBf_ejo2byye1INJ1P0ocmC_kL_cx3Ux0iDrHDvp9fsxct9oHe3J9rdvX17OfmPNtefrvYfN5mLldFzAqdk7QSHdVKtsKRgdRL1o3UBYFN99KVVLSNwjS7aQtp0NiCtC2aGrFWa_bx6Hvrx98ThVgduuCo73GgcQoVKJN2VpYA_4GCyYU1ab9r9uEJuh8nP6RB_lEARuqFyo-U82MIntrq1qeN-LkCUS1ZVynr6mnWSfb-3nyqD9Q8ih7CTcC7I7APcfSP9dxqAK2N-gupx7Ix</recordid><startdate>20130401</startdate><enddate>20130401</enddate><creator>Broad, Jennifer M.</creator><creator>Manhart, Lisa E.</creator><creator>Kerani, Roxanne P.</creator><creator>Scholes, Delia</creator><creator>Hughes, James P.</creator><creator>Golden, Matthew R.</creator><general>Lippincott Williams & Wilkins, a business of Wolters Kluwer Health</general><general>Lippincott Williams & Wilkins Ovid Technologies</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7QL</scope><scope>7T2</scope><scope>7U9</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20130401</creationdate><title>Chlamydia Screening Coverage Estimates Derived Using Healthcare Effectiveness Data and Information System Procedures and Indirect Estimation Vary Substantially</title><author>Broad, Jennifer M. ; Manhart, Lisa E. ; Kerani, Roxanne P. ; Scholes, Delia ; Hughes, James P. ; Golden, Matthew R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c436t-654e282aceb32f0ce71ced2bd256e18ced9c9e6fd3a2347f627a786e586dbaab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Chlamydia</topic><topic>Chlamydia Infections - diagnosis</topic><topic>Chlamydia Infections - epidemiology</topic><topic>Chlamydia Infections - prevention & control</topic><topic>Chlamydia trachomatis - isolation & purification</topic><topic>Comparative analysis</topic><topic>Coverage</topic><topic>Databases, Factual</topic><topic>Disease control</topic><topic>Effectiveness studies</topic><topic>Female</topic><topic>Health care</topic><topic>Humans</topic><topic>Information Systems</topic><topic>Mass Screening</topic><topic>Medical screening</topic><topic>Models, Theoretical</topic><topic>Original Study</topic><topic>Reproducibility of Results</topic><topic>Reproductive Health Services</topic><topic>Screening</topic><topic>Sentinel Surveillance</topic><topic>Sexual behaviour</topic><topic>Statistics as Topic</topic><topic>Washington - epidemiology</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Broad, Jennifer M.</creatorcontrib><creatorcontrib>Manhart, Lisa E.</creatorcontrib><creatorcontrib>Kerani, Roxanne P.</creatorcontrib><creatorcontrib>Scholes, Delia</creatorcontrib><creatorcontrib>Hughes, James P.</creatorcontrib><creatorcontrib>Golden, Matthew R.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Virology and AIDS Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Sexually transmitted diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Broad, Jennifer M.</au><au>Manhart, Lisa E.</au><au>Kerani, Roxanne P.</au><au>Scholes, Delia</au><au>Hughes, James P.</au><au>Golden, Matthew R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Chlamydia Screening Coverage Estimates Derived Using Healthcare Effectiveness Data and Information System Procedures and Indirect Estimation Vary Substantially</atitle><jtitle>Sexually transmitted diseases</jtitle><addtitle>Sex Transm Dis</addtitle><date>2013-04-01</date><risdate>2013</risdate><volume>40</volume><issue>4</issue><spage>292</spage><epage>297</epage><pages>292-297</pages><issn>0148-5717</issn><eissn>1537-4521</eissn><coden>STRDDM</coden><abstract>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.</abstract><cop>United States</cop><pub>Lippincott Williams & Wilkins, a business of Wolters Kluwer Health</pub><pmid>23486493</pmid><doi>10.1097/OLQ.0b013e3182809776</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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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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