Measures of Social Deprivation That Predict Health Care Access and Need within a Rational Area of Primary Care Service Delivery
Objective To develop a measure of social deprivation that is associated with health care access and health outcomes at a novel geographic level, primary care service area. Data Sources/Study Setting Secondary analysis of data from the Dartmouth Atlas, AMA Masterfile, National Provider Identifier dat...
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creator | Butler, Danielle C. Petterson, Stephen Phillips, Robert L. Bazemore, Andrew W. |
description | Objective
To develop a measure of social deprivation that is associated with health care access and health outcomes at a novel geographic level, primary care service area.
Data Sources/Study Setting
Secondary analysis of data from the Dartmouth Atlas, AMA Masterfile, National Provider Identifier data, Small Area Health Insurance Estimates, American Community Survey, Area Resource File, and Behavioural Risk Factor Surveillance System. Data were aggregated to primary care service areas (PCSAs).
Study Design
Social deprivation variables were selected from literature review and international examples. Factor analysis was used. Correlation and multivariate analyses were conducted between index, health outcomes, and measures of health care access. The derived index was compared with poverty as a predictor of health outcomes.
Data Collection/Extraction Methods
Variables not available at the PCSA level were estimated at block level, then aggregated to PCSA level.
Principal Findings
Our social deprivation index is positively associated with poor access and poor health outcomes. This pattern holds in multivariate analyses controlling for other measures of access. A multidimensional measure of deprivation is more strongly associated with health outcomes than a measure of poverty alone.
Conclusions
This geographic index has utility for identifying areas in need of assistance and is timely for revision of 35‐year‐old provider shortage and geographic underservice designation criteria used to allocate federal resources. |
doi_str_mv | 10.1111/j.1475-6773.2012.01449.x |
format | Article |
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To develop a measure of social deprivation that is associated with health care access and health outcomes at a novel geographic level, primary care service area.
Data Sources/Study Setting
Secondary analysis of data from the Dartmouth Atlas, AMA Masterfile, National Provider Identifier data, Small Area Health Insurance Estimates, American Community Survey, Area Resource File, and Behavioural Risk Factor Surveillance System. Data were aggregated to primary care service areas (PCSAs).
Study Design
Social deprivation variables were selected from literature review and international examples. Factor analysis was used. Correlation and multivariate analyses were conducted between index, health outcomes, and measures of health care access. The derived index was compared with poverty as a predictor of health outcomes.
Data Collection/Extraction Methods
Variables not available at the PCSA level were estimated at block level, then aggregated to PCSA level.
Principal Findings
Our social deprivation index is positively associated with poor access and poor health outcomes. This pattern holds in multivariate analyses controlling for other measures of access. A multidimensional measure of deprivation is more strongly associated with health outcomes than a measure of poverty alone.
Conclusions
This geographic index has utility for identifying areas in need of assistance and is timely for revision of 35‐year‐old provider shortage and geographic underservice designation criteria used to allocate federal resources.</description><identifier>ISSN: 0017-9124</identifier><identifier>EISSN: 1475-6773</identifier><identifier>DOI: 10.1111/j.1475-6773.2012.01449.x</identifier><identifier>PMID: 22816561</identifier><identifier>CODEN: HESEA5</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Access and Utilization ; Access to health care ; Analysis ; Clinical outcomes ; Diabetes Mellitus - epidemiology ; Economic conditions ; Employee turnover ; Forecasts and trends ; Health care ; Health care access ; Health care delivery ; Health policy ; Health services ; Health Services Accessibility - statistics & numerical data ; Health status ; Humans ; Infant Mortality ; Infant, Low Birth Weight ; Infant, Newborn ; Labour turnover ; Market trend/market analysis ; Medical policy ; Mortality ; Multivariate analysis ; Needs Assessment - statistics & numerical data ; Poverty ; Primary care ; primary care service areas ; Primary health care ; Primary Health Care - statistics & numerical data ; Risk assessment ; Social deprivation ; Socioeconomic Factors ; Studies ; Vulnerable Populations - statistics & numerical data</subject><ispartof>Health services research, 2013-04, Vol.48 (2pt1), p.539-559</ispartof><rights>Health Research and Educational Trust</rights><rights>Health Research and Educational Trust.</rights><rights>COPYRIGHT 2013 Health Research and Educational Trust</rights><rights>COPYRIGHT 2013 Health Research and Educational Trust</rights><rights>2013 Health Research and Education Trust</rights><rights>2013 Health Research and Education Trust 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c8199-5247db9cc6e26f68ad2b01e1f564007caebe9e8bbda17cbbf78145480c63b12d3</citedby><cites>FETCH-LOGICAL-c8199-5247db9cc6e26f68ad2b01e1f564007caebe9e8bbda17cbbf78145480c63b12d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3626349/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3626349/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,1416,27922,27923,30997,30998,45572,45573,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22816561$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Butler, Danielle C.</creatorcontrib><creatorcontrib>Petterson, Stephen</creatorcontrib><creatorcontrib>Phillips, Robert L.</creatorcontrib><creatorcontrib>Bazemore, Andrew W.</creatorcontrib><title>Measures of Social Deprivation That Predict Health Care Access and Need within a Rational Area of Primary Care Service Delivery</title><title>Health services research</title><addtitle>Health Serv Res</addtitle><description>Objective
To develop a measure of social deprivation that is associated with health care access and health outcomes at a novel geographic level, primary care service area.
Data Sources/Study Setting
Secondary analysis of data from the Dartmouth Atlas, AMA Masterfile, National Provider Identifier data, Small Area Health Insurance Estimates, American Community Survey, Area Resource File, and Behavioural Risk Factor Surveillance System. Data were aggregated to primary care service areas (PCSAs).
Study Design
Social deprivation variables were selected from literature review and international examples. Factor analysis was used. Correlation and multivariate analyses were conducted between index, health outcomes, and measures of health care access. The derived index was compared with poverty as a predictor of health outcomes.
Data Collection/Extraction Methods
Variables not available at the PCSA level were estimated at block level, then aggregated to PCSA level.
Principal Findings
Our social deprivation index is positively associated with poor access and poor health outcomes. This pattern holds in multivariate analyses controlling for other measures of access. A multidimensional measure of deprivation is more strongly associated with health outcomes than a measure of poverty alone.
Conclusions
This geographic index has utility for identifying areas in need of assistance and is timely for revision of 35‐year‐old provider shortage and geographic underservice designation criteria used to allocate federal resources.</description><subject>Access and Utilization</subject><subject>Access to health care</subject><subject>Analysis</subject><subject>Clinical outcomes</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Economic conditions</subject><subject>Employee turnover</subject><subject>Forecasts and trends</subject><subject>Health care</subject><subject>Health care access</subject><subject>Health care delivery</subject><subject>Health policy</subject><subject>Health services</subject><subject>Health Services Accessibility - statistics & numerical data</subject><subject>Health status</subject><subject>Humans</subject><subject>Infant Mortality</subject><subject>Infant, Low Birth Weight</subject><subject>Infant, Newborn</subject><subject>Labour turnover</subject><subject>Market trend/market analysis</subject><subject>Medical policy</subject><subject>Mortality</subject><subject>Multivariate analysis</subject><subject>Needs Assessment - statistics & numerical data</subject><subject>Poverty</subject><subject>Primary care</subject><subject>primary care service areas</subject><subject>Primary health care</subject><subject>Primary Health Care - statistics & numerical data</subject><subject>Risk assessment</subject><subject>Social deprivation</subject><subject>Socioeconomic Factors</subject><subject>Studies</subject><subject>Vulnerable Populations - statistics & numerical data</subject><issn>0017-9124</issn><issn>1475-6773</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>N95</sourceid><sourceid>7QJ</sourceid><recordid>eNqNk11v0zAUhiMEYmPwF5AlJAQSKXbifN1MqtrRIso2rUO7tBznJHVJ42InXXvFX8dpSz9QBSQXieLnfX1yfF7HQQR3iL0-TjuERoEbRpHf8TDxOphQmnSWT5zz3cJT5xxjErkJ8eiZ88KYKcY49mP63DnzvJiEQUjOnZ9fgZtGg0EqR2MlJC9RH-ZaLngtVYXuJ7xGtxoyKWo0BF7WE9TjGlBXCDAG8SpD1wAZepT1RFaIo7u10Np0NfDW9VbLGderjWwMeiEF2D1KuQC9euk8y3lp4NX2eeF8-3R13xu6o5vB51535IqYJIkbeDTK0kSIELwwD2OeeSkmQPIgpBhHgkMKCcRpmnESiTTNo5jQgMZYhH5KvMy_cC43vvMmnUEmoKo1L9l8UxtTXLLjlUpOWKEWzA-90KeJNXi3NdDqRwOmZjNpBJQlr0A1hpGAkiQmJCT_Rn0SUUztUVj0zR_oVDXadm9LJZFHkj1V8BKYrHJlSxStKev6XoATEsTttu4JqoAK7P-oCnJpPx_xnRO8vTOYSXFS8P5IYJkalnXBG2NYPBj9rZgtK1RZQgHMnm3v5ph_e8BP1oNmVNm0s2SOwQ8HYNoYWdk5lJWRxaQ2m1qO8HiDC62M0ZDvjpxg1maJTVkbGdZGhrVZYusssaWVvj4cmZ3wd3j2M_VoG7X6b2M2vBrfta_7Jkljm7Mz4Pq7VflW-3A9YF_6w4dBgvts5P8CAUg3oA</recordid><startdate>201304</startdate><enddate>201304</enddate><creator>Butler, Danielle C.</creator><creator>Petterson, Stephen</creator><creator>Phillips, Robert L.</creator><creator>Bazemore, Andrew W.</creator><general>Blackwell Publishing Ltd</general><general>Health Research and Educational Trust</general><general>Blackwell Science Inc</general><scope>BSCLL</scope><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>N95</scope><scope>XI7</scope><scope>8GL</scope><scope>7QJ</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201304</creationdate><title>Measures of Social Deprivation That Predict Health Care Access and Need within a Rational Area of Primary Care Service Delivery</title><author>Butler, Danielle C. ; Petterson, Stephen ; Phillips, Robert L. ; Bazemore, Andrew W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c8199-5247db9cc6e26f68ad2b01e1f564007caebe9e8bbda17cbbf78145480c63b12d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Access and Utilization</topic><topic>Access to health care</topic><topic>Analysis</topic><topic>Clinical outcomes</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Economic conditions</topic><topic>Employee turnover</topic><topic>Forecasts and trends</topic><topic>Health care</topic><topic>Health care access</topic><topic>Health care delivery</topic><topic>Health policy</topic><topic>Health services</topic><topic>Health Services Accessibility - statistics & numerical data</topic><topic>Health status</topic><topic>Humans</topic><topic>Infant Mortality</topic><topic>Infant, Low Birth Weight</topic><topic>Infant, Newborn</topic><topic>Labour turnover</topic><topic>Market trend/market analysis</topic><topic>Medical policy</topic><topic>Mortality</topic><topic>Multivariate analysis</topic><topic>Needs Assessment - statistics & numerical data</topic><topic>Poverty</topic><topic>Primary care</topic><topic>primary care service areas</topic><topic>Primary health care</topic><topic>Primary Health Care - statistics & numerical data</topic><topic>Risk assessment</topic><topic>Social deprivation</topic><topic>Socioeconomic Factors</topic><topic>Studies</topic><topic>Vulnerable Populations - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Butler, Danielle C.</creatorcontrib><creatorcontrib>Petterson, Stephen</creatorcontrib><creatorcontrib>Phillips, Robert L.</creatorcontrib><creatorcontrib>Bazemore, Andrew W.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale Business: Insights</collection><collection>Business Insights: Essentials</collection><collection>Gale In Context: High School</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Health services research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Butler, Danielle C.</au><au>Petterson, Stephen</au><au>Phillips, Robert L.</au><au>Bazemore, Andrew W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measures of Social Deprivation That Predict Health Care Access and Need within a Rational Area of Primary Care Service Delivery</atitle><jtitle>Health services research</jtitle><addtitle>Health Serv Res</addtitle><date>2013-04</date><risdate>2013</risdate><volume>48</volume><issue>2pt1</issue><spage>539</spage><epage>559</epage><pages>539-559</pages><issn>0017-9124</issn><eissn>1475-6773</eissn><coden>HESEA5</coden><abstract>Objective
To develop a measure of social deprivation that is associated with health care access and health outcomes at a novel geographic level, primary care service area.
Data Sources/Study Setting
Secondary analysis of data from the Dartmouth Atlas, AMA Masterfile, National Provider Identifier data, Small Area Health Insurance Estimates, American Community Survey, Area Resource File, and Behavioural Risk Factor Surveillance System. Data were aggregated to primary care service areas (PCSAs).
Study Design
Social deprivation variables were selected from literature review and international examples. Factor analysis was used. Correlation and multivariate analyses were conducted between index, health outcomes, and measures of health care access. The derived index was compared with poverty as a predictor of health outcomes.
Data Collection/Extraction Methods
Variables not available at the PCSA level were estimated at block level, then aggregated to PCSA level.
Principal Findings
Our social deprivation index is positively associated with poor access and poor health outcomes. This pattern holds in multivariate analyses controlling for other measures of access. A multidimensional measure of deprivation is more strongly associated with health outcomes than a measure of poverty alone.
Conclusions
This geographic index has utility for identifying areas in need of assistance and is timely for revision of 35‐year‐old provider shortage and geographic underservice designation criteria used to allocate federal resources.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>22816561</pmid><doi>10.1111/j.1475-6773.2012.01449.x</doi><tpages>21</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; Wiley Online Library Journals Frontfile Complete; Applied Social Sciences Index & Abstracts (ASSIA); EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection |
subjects | Access and Utilization Access to health care Analysis Clinical outcomes Diabetes Mellitus - epidemiology Economic conditions Employee turnover Forecasts and trends Health care Health care access Health care delivery Health policy Health services Health Services Accessibility - statistics & numerical data Health status Humans Infant Mortality Infant, Low Birth Weight Infant, Newborn Labour turnover Market trend/market analysis Medical policy Mortality Multivariate analysis Needs Assessment - statistics & numerical data Poverty Primary care primary care service areas Primary health care Primary Health Care - statistics & numerical data Risk assessment Social deprivation Socioeconomic Factors Studies Vulnerable Populations - statistics & numerical data |
title | Measures of Social Deprivation That Predict Health Care Access and Need within a Rational Area of Primary Care Service Delivery |
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