The Spatial Association Between Federally Qualified Health Centers and County-Level Reported Sexually Transmitted Infections: A Spatial Regression Approach

BACKGROUNDThe number of categorical sexually transmitted disease (STD) clinics is declining in the United States. Federally qualified health centers (FQHCs) have the potential to supplement the needed sexually transmitted infection (STI) services. In this study, we describe the spatial distribution...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Sexually transmitted diseases 2018-02, Vol.45 (2), p.81-86
Hauptverfasser: Owusu-Edusei, Kwame, Gift, Thomas L, Leichliter, Jami S, Romaguera, Raul A
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 86
container_issue 2
container_start_page 81
container_title Sexually transmitted diseases
container_volume 45
creator Owusu-Edusei, Kwame
Gift, Thomas L
Leichliter, Jami S
Romaguera, Raul A
description BACKGROUNDThe number of categorical sexually transmitted disease (STD) clinics is declining in the United States. Federally qualified health centers (FQHCs) have the potential to supplement the needed sexually transmitted infection (STI) services. In this study, we describe the spatial distribution of FQHC sites and determine if reported county-level nonviral STI morbidity were associated with having FQHC(s) using spatial regression techniques. METHODSWe extracted map data from the Health Resources and Services Administration data warehouse on FQHCs (ie, geocoded health care service delivery [HCSD] sites) and extracted county-level data on the reported rates of chlamydia, gonorrhea and, primary and secondary (P&S) syphilis (2008–2012) from surveillance data. A 3-equation seemingly unrelated regression estimation procedure (with a spatial regression specification that controlled for county-level multiyear (2008–2012) demographic and socioeconomic factors) was used to determine the association between reported county-level STI morbidity and HCSD sites. RESULTSCounties with HCSD sites had higher STI, poverty, unemployment, and violent crime rates than counties with no HCSD sites (P < 0.05). The number of HCSD sites was associated (P < 0.01) with increases in the temporally smoothed rates of chlamydia, gonorrhea, and P&S syphilis, but there was no significant association between the number of HCSD per 100,000 population and reported STI rates. CONCLUSIONSThere is a positive association between STI morbidity and the number of HCSD sites; however, this association does not exist when adjusting by population size. Further work may determine the extent to which HCSD sites can meet unmet needs for safety net STI services.
doi_str_mv 10.1097/OLQ.0000000000000692
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6771422</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1999630126</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4852-2e48e3614be4894ad36b63c2888b9efca05205d4c94df65ec99cd76f60cf24843</originalsourceid><addsrcrecordid>eNp9kdFu0zAUhi0EYmXwBghZ4oabDNtxnJgLpFIxNqnStK1cW65zsmS4drCTlT4LL4uzjmrsAt_42P7Of_zrR-gtJSeUyPLjxfLyhDxeQrJnaEaLvMx4wehzNCOUV1lR0vIIvYrxlkxnQl-iI1ZVpWAyn6Hfqxbwda-HTls8j9GbLtXe4S8wbAEcPoUagrZ2hy9HbbumgxqfgbZDixfgBggRa1fjhR_dsMuWcAcWX0Hvw5DAa_g13veugnZx0w3T5blrwEwz4ic8P8y-gpsAMU6j530fvDbta_Si0TbCm4f9GH0__bpanGXLi2_ni_kyM7wqWMaAV5ALytepkFzXuViL3CSP1VpCYzQpGClqbiSvG1GAkdLUpWgEMQ3jFc-P0ee9bj-uN1CbZCs5Vn3oNjrslNed-vfFda268XdKlCXljCWBDw8Cwf8cIQ5q00UD1moHfoyKylywFA8lCX3_BL31Y3DJXqKkFDmhTCSK7ykTfIwBmsNnKFFT-iqlr56mn9rePTZyaPobdwKqPbD1doruhx23EFR7n-f_tf8AWZ--4w</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1999630126</pqid></control><display><type>article</type><title>The Spatial Association Between Federally Qualified Health Centers and County-Level Reported Sexually Transmitted Infections: A Spatial Regression Approach</title><source>MEDLINE</source><source>Applied Social Sciences Index &amp; Abstracts (ASSIA)</source><source>JSTOR Archive Collection A-Z Listing</source><creator>Owusu-Edusei, Kwame ; Gift, Thomas L ; Leichliter, Jami S ; Romaguera, Raul A</creator><creatorcontrib>Owusu-Edusei, Kwame ; Gift, Thomas L ; Leichliter, Jami S ; Romaguera, Raul A</creatorcontrib><description>BACKGROUNDThe number of categorical sexually transmitted disease (STD) clinics is declining in the United States. Federally qualified health centers (FQHCs) have the potential to supplement the needed sexually transmitted infection (STI) services. In this study, we describe the spatial distribution of FQHC sites and determine if reported county-level nonviral STI morbidity were associated with having FQHC(s) using spatial regression techniques. METHODSWe extracted map data from the Health Resources and Services Administration data warehouse on FQHCs (ie, geocoded health care service delivery [HCSD] sites) and extracted county-level data on the reported rates of chlamydia, gonorrhea and, primary and secondary (P&amp;S) syphilis (2008–2012) from surveillance data. A 3-equation seemingly unrelated regression estimation procedure (with a spatial regression specification that controlled for county-level multiyear (2008–2012) demographic and socioeconomic factors) was used to determine the association between reported county-level STI morbidity and HCSD sites. RESULTSCounties with HCSD sites had higher STI, poverty, unemployment, and violent crime rates than counties with no HCSD sites (P &lt; 0.05). The number of HCSD sites was associated (P &lt; 0.01) with increases in the temporally smoothed rates of chlamydia, gonorrhea, and P&amp;S syphilis, but there was no significant association between the number of HCSD per 100,000 population and reported STI rates. CONCLUSIONSThere is a positive association between STI morbidity and the number of HCSD sites; however, this association does not exist when adjusting by population size. Further work may determine the extent to which HCSD sites can meet unmet needs for safety net STI services.</description><identifier>ISSN: 0148-5717</identifier><identifier>EISSN: 1537-4521</identifier><identifier>DOI: 10.1097/OLQ.0000000000000692</identifier><identifier>PMID: 28876293</identifier><language>eng</language><publisher>United States: Copyright American Sexually Transmitted Diseases Association</publisher><subject>Adult ; Chlamydia Infections - epidemiology ; Chlamydia trachomatis ; Clinics ; Crime ; Cross-Sectional Studies ; Data warehouses ; Demographics ; Demography ; Economic factors ; Employment ; Female ; Gonorrhea ; Gonorrhea - epidemiology ; Health ; Health care ; Health Facilities ; Health services ; Humans ; Infections ; Male ; Morbidity ; Population number ; Poverty ; Regression ; Sexually transmitted diseases ; Sexually Transmitted Diseases - epidemiology ; Social factors ; Socioeconomic Factors ; Socioeconomics ; Spatial analysis ; Spatial distribution ; Spatial Regression ; Specification ; STD ; Surveillance ; Syphilis ; Syphilis - epidemiology ; Unemployment ; United States - epidemiology ; Violence ; Violent crime ; Young Adult</subject><ispartof>Sexually transmitted diseases, 2018-02, Vol.45 (2), p.81-86</ispartof><rights>Copyright 2018 American Sexually Transmitted Diseases Association</rights><rights>Copyright Lippincott Williams &amp; Wilkins Ovid Technologies Feb 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4852-2e48e3614be4894ad36b63c2888b9efca05205d4c94df65ec99cd76f60cf24843</citedby><cites>FETCH-LOGICAL-c4852-2e48e3614be4894ad36b63c2888b9efca05205d4c94df65ec99cd76f60cf24843</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925,30999</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28876293$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Owusu-Edusei, Kwame</creatorcontrib><creatorcontrib>Gift, Thomas L</creatorcontrib><creatorcontrib>Leichliter, Jami S</creatorcontrib><creatorcontrib>Romaguera, Raul A</creatorcontrib><title>The Spatial Association Between Federally Qualified Health Centers and County-Level Reported Sexually Transmitted Infections: A Spatial Regression Approach</title><title>Sexually transmitted diseases</title><addtitle>Sex Transm Dis</addtitle><description>BACKGROUNDThe number of categorical sexually transmitted disease (STD) clinics is declining in the United States. Federally qualified health centers (FQHCs) have the potential to supplement the needed sexually transmitted infection (STI) services. In this study, we describe the spatial distribution of FQHC sites and determine if reported county-level nonviral STI morbidity were associated with having FQHC(s) using spatial regression techniques. METHODSWe extracted map data from the Health Resources and Services Administration data warehouse on FQHCs (ie, geocoded health care service delivery [HCSD] sites) and extracted county-level data on the reported rates of chlamydia, gonorrhea and, primary and secondary (P&amp;S) syphilis (2008–2012) from surveillance data. A 3-equation seemingly unrelated regression estimation procedure (with a spatial regression specification that controlled for county-level multiyear (2008–2012) demographic and socioeconomic factors) was used to determine the association between reported county-level STI morbidity and HCSD sites. RESULTSCounties with HCSD sites had higher STI, poverty, unemployment, and violent crime rates than counties with no HCSD sites (P &lt; 0.05). The number of HCSD sites was associated (P &lt; 0.01) with increases in the temporally smoothed rates of chlamydia, gonorrhea, and P&amp;S syphilis, but there was no significant association between the number of HCSD per 100,000 population and reported STI rates. CONCLUSIONSThere is a positive association between STI morbidity and the number of HCSD sites; however, this association does not exist when adjusting by population size. Further work may determine the extent to which HCSD sites can meet unmet needs for safety net STI services.</description><subject>Adult</subject><subject>Chlamydia Infections - epidemiology</subject><subject>Chlamydia trachomatis</subject><subject>Clinics</subject><subject>Crime</subject><subject>Cross-Sectional Studies</subject><subject>Data warehouses</subject><subject>Demographics</subject><subject>Demography</subject><subject>Economic factors</subject><subject>Employment</subject><subject>Female</subject><subject>Gonorrhea</subject><subject>Gonorrhea - epidemiology</subject><subject>Health</subject><subject>Health care</subject><subject>Health Facilities</subject><subject>Health services</subject><subject>Humans</subject><subject>Infections</subject><subject>Male</subject><subject>Morbidity</subject><subject>Population number</subject><subject>Poverty</subject><subject>Regression</subject><subject>Sexually transmitted diseases</subject><subject>Sexually Transmitted Diseases - epidemiology</subject><subject>Social factors</subject><subject>Socioeconomic Factors</subject><subject>Socioeconomics</subject><subject>Spatial analysis</subject><subject>Spatial distribution</subject><subject>Spatial Regression</subject><subject>Specification</subject><subject>STD</subject><subject>Surveillance</subject><subject>Syphilis</subject><subject>Syphilis - epidemiology</subject><subject>Unemployment</subject><subject>United States - epidemiology</subject><subject>Violence</subject><subject>Violent crime</subject><subject>Young Adult</subject><issn>0148-5717</issn><issn>1537-4521</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNp9kdFu0zAUhi0EYmXwBghZ4oabDNtxnJgLpFIxNqnStK1cW65zsmS4drCTlT4LL4uzjmrsAt_42P7Of_zrR-gtJSeUyPLjxfLyhDxeQrJnaEaLvMx4wehzNCOUV1lR0vIIvYrxlkxnQl-iI1ZVpWAyn6Hfqxbwda-HTls8j9GbLtXe4S8wbAEcPoUagrZ2hy9HbbumgxqfgbZDixfgBggRa1fjhR_dsMuWcAcWX0Hvw5DAa_g13veugnZx0w3T5blrwEwz4ic8P8y-gpsAMU6j530fvDbta_Si0TbCm4f9GH0__bpanGXLi2_ni_kyM7wqWMaAV5ALytepkFzXuViL3CSP1VpCYzQpGClqbiSvG1GAkdLUpWgEMQ3jFc-P0ee9bj-uN1CbZCs5Vn3oNjrslNed-vfFda268XdKlCXljCWBDw8Cwf8cIQ5q00UD1moHfoyKylywFA8lCX3_BL31Y3DJXqKkFDmhTCSK7ykTfIwBmsNnKFFT-iqlr56mn9rePTZyaPobdwKqPbD1doruhx23EFR7n-f_tf8AWZ--4w</recordid><startdate>201802</startdate><enddate>201802</enddate><creator>Owusu-Edusei, Kwame</creator><creator>Gift, Thomas L</creator><creator>Leichliter, Jami S</creator><creator>Romaguera, Raul A</creator><general>Copyright American Sexually Transmitted Diseases Association</general><general>Lippincott Williams &amp; 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><scope>5PM</scope></search><sort><creationdate>201802</creationdate><title>The Spatial Association Between Federally Qualified Health Centers and County-Level Reported Sexually Transmitted Infections: A Spatial Regression Approach</title><author>Owusu-Edusei, Kwame ; Gift, Thomas L ; Leichliter, Jami S ; Romaguera, Raul A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4852-2e48e3614be4894ad36b63c2888b9efca05205d4c94df65ec99cd76f60cf24843</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adult</topic><topic>Chlamydia Infections - epidemiology</topic><topic>Chlamydia trachomatis</topic><topic>Clinics</topic><topic>Crime</topic><topic>Cross-Sectional Studies</topic><topic>Data warehouses</topic><topic>Demographics</topic><topic>Demography</topic><topic>Economic factors</topic><topic>Employment</topic><topic>Female</topic><topic>Gonorrhea</topic><topic>Gonorrhea - epidemiology</topic><topic>Health</topic><topic>Health care</topic><topic>Health Facilities</topic><topic>Health services</topic><topic>Humans</topic><topic>Infections</topic><topic>Male</topic><topic>Morbidity</topic><topic>Population number</topic><topic>Poverty</topic><topic>Regression</topic><topic>Sexually transmitted diseases</topic><topic>Sexually Transmitted Diseases - epidemiology</topic><topic>Social factors</topic><topic>Socioeconomic Factors</topic><topic>Socioeconomics</topic><topic>Spatial analysis</topic><topic>Spatial distribution</topic><topic>Spatial Regression</topic><topic>Specification</topic><topic>STD</topic><topic>Surveillance</topic><topic>Syphilis</topic><topic>Syphilis - epidemiology</topic><topic>Unemployment</topic><topic>United States - epidemiology</topic><topic>Violence</topic><topic>Violent crime</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Owusu-Edusei, Kwame</creatorcontrib><creatorcontrib>Gift, Thomas L</creatorcontrib><creatorcontrib>Leichliter, Jami S</creatorcontrib><creatorcontrib>Romaguera, Raul A</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 &amp; 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 &amp; Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Sexually transmitted diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Owusu-Edusei, Kwame</au><au>Gift, Thomas L</au><au>Leichliter, Jami S</au><au>Romaguera, Raul A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Spatial Association Between Federally Qualified Health Centers and County-Level Reported Sexually Transmitted Infections: A Spatial Regression Approach</atitle><jtitle>Sexually transmitted diseases</jtitle><addtitle>Sex Transm Dis</addtitle><date>2018-02</date><risdate>2018</risdate><volume>45</volume><issue>2</issue><spage>81</spage><epage>86</epage><pages>81-86</pages><issn>0148-5717</issn><eissn>1537-4521</eissn><abstract>BACKGROUNDThe number of categorical sexually transmitted disease (STD) clinics is declining in the United States. Federally qualified health centers (FQHCs) have the potential to supplement the needed sexually transmitted infection (STI) services. In this study, we describe the spatial distribution of FQHC sites and determine if reported county-level nonviral STI morbidity were associated with having FQHC(s) using spatial regression techniques. METHODSWe extracted map data from the Health Resources and Services Administration data warehouse on FQHCs (ie, geocoded health care service delivery [HCSD] sites) and extracted county-level data on the reported rates of chlamydia, gonorrhea and, primary and secondary (P&amp;S) syphilis (2008–2012) from surveillance data. A 3-equation seemingly unrelated regression estimation procedure (with a spatial regression specification that controlled for county-level multiyear (2008–2012) demographic and socioeconomic factors) was used to determine the association between reported county-level STI morbidity and HCSD sites. RESULTSCounties with HCSD sites had higher STI, poverty, unemployment, and violent crime rates than counties with no HCSD sites (P &lt; 0.05). The number of HCSD sites was associated (P &lt; 0.01) with increases in the temporally smoothed rates of chlamydia, gonorrhea, and P&amp;S syphilis, but there was no significant association between the number of HCSD per 100,000 population and reported STI rates. CONCLUSIONSThere is a positive association between STI morbidity and the number of HCSD sites; however, this association does not exist when adjusting by population size. Further work may determine the extent to which HCSD sites can meet unmet needs for safety net STI services.</abstract><cop>United States</cop><pub>Copyright American Sexually Transmitted Diseases Association</pub><pmid>28876293</pmid><doi>10.1097/OLQ.0000000000000692</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0148-5717
ispartof Sexually transmitted diseases, 2018-02, Vol.45 (2), p.81-86
issn 0148-5717
1537-4521
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6771422
source MEDLINE; Applied Social Sciences Index & Abstracts (ASSIA); JSTOR Archive Collection A-Z Listing
subjects Adult
Chlamydia Infections - epidemiology
Chlamydia trachomatis
Clinics
Crime
Cross-Sectional Studies
Data warehouses
Demographics
Demography
Economic factors
Employment
Female
Gonorrhea
Gonorrhea - epidemiology
Health
Health care
Health Facilities
Health services
Humans
Infections
Male
Morbidity
Population number
Poverty
Regression
Sexually transmitted diseases
Sexually Transmitted Diseases - epidemiology
Social factors
Socioeconomic Factors
Socioeconomics
Spatial analysis
Spatial distribution
Spatial Regression
Specification
STD
Surveillance
Syphilis
Syphilis - epidemiology
Unemployment
United States - epidemiology
Violence
Violent crime
Young Adult
title The Spatial Association Between Federally Qualified Health Centers and County-Level Reported Sexually Transmitted Infections: A Spatial Regression Approach
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T22%3A56%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Spatial%20Association%20Between%20Federally%20Qualified%20Health%20Centers%20and%20County-Level%20Reported%20Sexually%20Transmitted%20Infections:%20A%20Spatial%20Regression%20Approach&rft.jtitle=Sexually%20transmitted%20diseases&rft.au=Owusu-Edusei,%20Kwame&rft.date=2018-02&rft.volume=45&rft.issue=2&rft.spage=81&rft.epage=86&rft.pages=81-86&rft.issn=0148-5717&rft.eissn=1537-4521&rft_id=info:doi/10.1097/OLQ.0000000000000692&rft_dat=%3Cproquest_pubme%3E1999630126%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1999630126&rft_id=info:pmid/28876293&rfr_iscdi=true