Using a composite index of socioeconomic status to investigate health disparities while protecting the confidentiality of cancer registry data
Purpose: The lack of individual socioeconomic status (SES) information in cancer registry data necessitates the use of area-based measures to investigate health disparities. Concerns about confidentiality, however, prohibit publishing patients' residential locations at the subcounty level. We d...
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Published in | Cancer causes & control Vol. 25; no. 1; pp. 81 - 92 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Dordrecht
Springer
01.01.2014
Springer Netherlands Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Abstract | Purpose: The lack of individual socioeconomic status (SES) information in cancer registry data necessitates the use of area-based measures to investigate health disparities. Concerns about confidentiality, however, prohibit publishing patients' residential locations at the subcounty level. We developed a census tract-based composite SES index to be released in place of individual census tracts to minimize the risk of disclosure. Methods: Two SES indices based on the measures identified in the literature were constructed using factor analysis. The analyses were repeated using the data from the 2000 decennial census and 2005–2009 American Community Survey to create the indices at two time points, which were linked to 2000–2009 Surveillance, Epidemiology, and End Results registry data to estimate incidence and survival rates. Results: The two indices performed similarly in stratifying census tracts and detecting socioeconomic gradients in cancer incidence and survival. The gradient in the incidence is positive for breast and prostate, and negative for lung cancers, in all races, although the level varies. The positive gradient in survival is more salient for regionalstaged breast, colorectal, and lung cancers. Conclusions: The census tract-based SES index provides a valuable tool for monitoring the disparities in cancer burdens while avoiding potential identity disclosure. This index, divided into tertiles and quintiles, is now available to the researchers on request. |
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AbstractList | Purpose: The lack of individual socioeconomic status (SES) information in cancer registry data necessitates the use of area-based measures to investigate health disparities. Concerns about confidentiality, however, prohibit publishing patients' residential locations at the subcounty level. We developed a census tract-based composite SES index to be released in place of individual census tracts to minimize the risk of disclosure. Methods: Two SES indices based on the measures identified in the literature were constructed using factor analysis. The analyses were repeated using the data from the 2000 decennial census and 2005–2009 American Community Survey to create the indices at two time points, which were linked to 2000–2009 Surveillance, Epidemiology, and End Results registry data to estimate incidence and survival rates. Results: The two indices performed similarly in stratifying census tracts and detecting socioeconomic gradients in cancer incidence and survival. The gradient in the incidence is positive for breast and prostate, and negative for lung cancers, in all races, although the level varies. The positive gradient in survival is more salient for regionalstaged breast, colorectal, and lung cancers. Conclusions: The census tract-based SES index provides a valuable tool for monitoring the disparities in cancer burdens while avoiding potential identity disclosure. This index, divided into tertiles and quintiles, is now available to the researchers on request. The lack of individual socioeconomic status (SES) information in cancer registry data necessitates the use of area-based measures to investigate health disparities. Concerns about confidentiality, however, prohibit publishing patients' residential locations at the subcounty level. We developed a census tract-based composite SES index to be released in place of individual census tracts to minimize the risk of disclosure. Two SES indices based on the measures identified in the literature were constructed using factor analysis. The analyses were repeated using the data from the 2000 decennial census and 2005-2009 American Community Survey to create the indices at two time points, which were linked to 2000-2009 Surveillance, Epidemiology, and End Results registry data to estimate incidence and survival rates. The two indices performed similarly in stratifying census tracts and detecting socioeconomic gradients in cancer incidence and survival. The gradient in the incidence is positive for breast and prostate, and negative for lung cancers, in all races, although the level varies. The positive gradient in survival is more salient for regional-staged breast, colorectal, and lung cancers. The census tract-based SES index provides a valuable tool for monitoring the disparities in cancer burdens while avoiding potential identity disclosure. This index, divided into tertiles and quintiles, is now available to the researchers on request.[PUBLICATION ABSTRACT] The lack of individual socioeconomic status (SES) information in cancer registry data necessitates the use of area-based measures to investigate health disparities. Concerns about confidentiality, however, prohibit publishing patients' residential locations at the subcounty level. We developed a census tract-based composite SES index to be released in place of individual census tracts to minimize the risk of disclosure. Two SES indices based on the measures identified in the literature were constructed using factor analysis. The analyses were repeated using the data from the 2000 decennial census and 2005-2009 American Community Survey to create the indices at two time points, which were linked to 2000-2009 Surveillance, Epidemiology, and End Results registry data to estimate incidence and survival rates. The two indices performed similarly in stratifying census tracts and detecting socioeconomic gradients in cancer incidence and survival. The gradient in the incidence is positive for breast and prostate, and negative for lung cancers, in all races, although the level varies. The positive gradient in survival is more salient for regional-staged breast, colorectal, and lung cancers. The census tract-based SES index provides a valuable tool for monitoring the disparities in cancer burdens while avoiding potential identity disclosure. This index, divided into tertiles and quintiles, is now available to the researchers on request. Purpose The lack of individual socioeconomic status (SES) information in cancer registry data necessitates the use of area-based measures to investigate health disparities. Concerns about confidentiality, however, prohibit publishing patients’ residential locations at the subcounty level. We developed a census tract-based composite SES index to be released in place of individual census tracts to minimize the risk of disclosure. Methods Two SES indices based on the measures identified in the literature were constructed using factor analysis. The analyses were repeated using the data from the 2000 decennial census and 2005–2009 American Community Survey to create the indices at two time points, which were linked to 2000–2009 Surveillance, Epidemiology, and End Results registry data to estimate incidence and survival rates. Results The two indices performed similarly in stratifying census tracts and detecting socioeconomic gradients in cancer incidence and survival. The gradient in the incidence is positive for breast and prostate, and negative for lung cancers, in all races, although the level varies. The positive gradient in survival is more salient for regional-staged breast, colorectal, and lung cancers. Conclusions The census tract-based SES index provides a valuable tool for monitoring the disparities in cancer burdens while avoiding potential identity disclosure. This index, divided into tertiles and quintiles, is now available to the researchers on request. The lack of individual socioeconomic status (SES) information in cancer registry data necessitates the use of area-based measures to investigate health disparities. Concerns about confidentiality, however, prohibit publishing patients' residential locations at the subcounty level. We developed a census tract-based composite SES index to be released in place of individual census tracts to minimize the risk of disclosure.PURPOSEThe lack of individual socioeconomic status (SES) information in cancer registry data necessitates the use of area-based measures to investigate health disparities. Concerns about confidentiality, however, prohibit publishing patients' residential locations at the subcounty level. We developed a census tract-based composite SES index to be released in place of individual census tracts to minimize the risk of disclosure.Two SES indices based on the measures identified in the literature were constructed using factor analysis. The analyses were repeated using the data from the 2000 decennial census and 2005-2009 American Community Survey to create the indices at two time points, which were linked to 2000-2009 Surveillance, Epidemiology, and End Results registry data to estimate incidence and survival rates.METHODSTwo SES indices based on the measures identified in the literature were constructed using factor analysis. The analyses were repeated using the data from the 2000 decennial census and 2005-2009 American Community Survey to create the indices at two time points, which were linked to 2000-2009 Surveillance, Epidemiology, and End Results registry data to estimate incidence and survival rates.The two indices performed similarly in stratifying census tracts and detecting socioeconomic gradients in cancer incidence and survival. The gradient in the incidence is positive for breast and prostate, and negative for lung cancers, in all races, although the level varies. The positive gradient in survival is more salient for regional-staged breast, colorectal, and lung cancers.RESULTSThe two indices performed similarly in stratifying census tracts and detecting socioeconomic gradients in cancer incidence and survival. The gradient in the incidence is positive for breast and prostate, and negative for lung cancers, in all races, although the level varies. The positive gradient in survival is more salient for regional-staged breast, colorectal, and lung cancers.The census tract-based SES index provides a valuable tool for monitoring the disparities in cancer burdens while avoiding potential identity disclosure. This index, divided into tertiles and quintiles, is now available to the researchers on request.CONCLUSIONSThe census tract-based SES index provides a valuable tool for monitoring the disparities in cancer burdens while avoiding potential identity disclosure. This index, divided into tertiles and quintiles, is now available to the researchers on request. Purpose: The lack of individual socioeconomic status (SES) information in cancer registry data necessitates the use of area-based measures to investigate health disparities. Concerns about confidentiality, however, prohibit publishing patients' residential locations at the subcounty level. We developed a census tract-based composite SES index to be released in place of individual census tracts to minimize the risk of disclosure. Methods: Two SES indices based on the measures identified in the literature were constructed using factor analysis. The analyses were repeated using the data from the 2000 decennial census and 2005-2009 American Community Survey to create the indices at two time points, which were linked to 2000-2009 Surveillance, Epidemiology, and End Results registry data to estimate incidence and survival rates. Results: The two indices performed similarly in stratifying census tracts and detecting socioeconomic gradients in cancer incidence and survival. The gradient in the incidence is positive for breast and prostate, and negative for lung cancers, in all races, although the level varies. The positive gradient in survival is more salient for regional-staged breast, colorectal, and lung cancers. Conclusions: The census tract-based SES index provides a valuable tool for monitoring the disparities in cancer burdens while avoiding potential identity disclosure. This index, divided into tertiles and quintiles, is now available to the researchers on request. |
Author | Gibson, James T. Yu, Mandi Tatalovich, Zaria Cronin, Kathleen A. |
Author_xml | – sequence: 1 givenname: Mandi surname: Yu fullname: Yu, Mandi – sequence: 2 givenname: Zaria surname: Tatalovich fullname: Tatalovich, Zaria – sequence: 3 givenname: James T. surname: Gibson fullname: Gibson, James T. – sequence: 4 givenname: Kathleen A. surname: Cronin fullname: Cronin, Kathleen A. |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/24178398$$D View this record in MEDLINE/PubMed |
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Keywords | Socioeconomic index SEER Cancer incidence Health disparity Cancer survival Census tract |
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PublicationSubtitle | An International Journal of Studies of Cancer in Human Populations |
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References | Draisma, Boer, Otto, van der Cruijsen, Damhuis, Schröder, de Koning (CR20) 2003; 95 Clegg, Reichman, Miller, Hankey, Singh, Lin, Goodman, Lynch, Schwartz, Chen, Bernstein, Gomez, Graff, Lin, Johnson, Edwards (CR1) 2009; 20 Devesa, Diamond (CR2) 1983; 118 CR8 Howlader, Ries, Mariotto, Reichman, Ruhl, Cronin (CR18) 2010; 102 Pugh, Power, Goldblatt, Arber (CR4) 1991; 32 Ingram, Parker, Schenker, Weed, Hamilton, Arias, Madans (CR16) 2003; 135 CR17 CR9 Krieger, Chen, Waterman, Soobader, Subramanian, Carson (CR3) 2002; 156 CR13 CR12 Gornick, Swift (CR11) 2002 Ward, Cokkinides, Singh, Cardinez, Ghafoor, Thun (CR5) 2004; 54 CR21 Robert, House, Bird, Conrad, Fremont (CR10) 2000 Yost, Perkins, Cohen, Morris, Wright (CR6) 2001; 12 Conover, Iman (CR15) 1981; 35 Frey, Singer (CR14) 2006 Kvåle, Auvinen, Adami, Klint, Hernes, Møller, Pukkala, Storm, Tryggvadottir, Tretli, Wahlqvist, Weiderpass, Bray (CR19) 2007; 99 Dutton, Levine, Bunker, Gomby, Kehrer (CR7) 1989 K Yost (310_CR6) 2001; 12 EJA Ward (310_CR5) 2004; 54 SS Devesa (310_CR2) 1983; 118 DB Dutton (310_CR7) 1989 N Howlader (310_CR18) 2010; 102 N Krieger (310_CR3) 2002; 156 310_CR21 H Pugh (310_CR4) 1991; 32 310_CR12 310_CR13 DD Ingram (310_CR16) 2003; 135 WJ Conover (310_CR15) 1981; 35 310_CR17 R Kvåle (310_CR19) 2007; 99 LX Clegg (310_CR1) 2009; 20 310_CR9 310_CR8 SA Robert (310_CR10) 2000 G Draisma (310_CR20) 2003; 95 W Frey (310_CR14) 2006 ME Gornick (310_CR11) 2002 |
References_xml | – volume: 54 start-page: 78 issue: 2 year: 2004 end-page: 93 ident: CR5 article-title: Cancer disparities by race/ethnicity and socioeconomic status publication-title: CA Cancer J Clin doi: 10.3322/canjclin.54.2.78 – ident: CR21 – volume: 32 start-page: 1105 issue: 10 year: 1991 end-page: 1110 ident: CR4 article-title: Women’s lung cancer mortality, socio-economic status and changing smoking patterns publication-title: Soc Sci Med doi: 10.1016/0277-9536(91)90086-R – volume: 102 start-page: 1584 issue: 20 year: 2010 end-page: 1598 ident: CR18 article-title: Improved estimates of cancer-specific survival rates from population-based data publication-title: J Natl Cancer Inst doi: 10.1093/jnci/djq366 – start-page: 79 year: 2000 end-page: 97 ident: CR10 article-title: Socioeconomic inequalities in health: an enduring sociological problem publication-title: Handbook of medical sociology – volume: 20 start-page: 417 issue: 4 year: 2009 end-page: 435 ident: CR1 article-title: Impact of socioeconomic status on cancer incidence and stage at diagnosis: selected findings from the surveillance, epidemiology, and end results: National Longitudinal Mortality Study publication-title: Cancer Causes Control doi: 10.1007/s10552-008-9256-0 – volume: 12 start-page: 703 issue: 8 year: 2001 end-page: 711 ident: CR6 article-title: Socioeconomic status and breast cancer incidence in California for different race/ethnic groups publication-title: Cancer Causes Control doi: 10.1023/A:1011240019516 – start-page: 45 year: 2002 end-page: 74 ident: CR11 article-title: Measuring the effects of socioeconomic status on health care publication-title: Guidance for the National Healthcare Disparities Report – volume: 35 start-page: 124 issue: 3 year: 1981 end-page: 129 ident: CR15 article-title: Rank transformations as a bridge between parametric and nonparametric statistics publication-title: Am Stat – volume: 156 start-page: 471 issue: 5 year: 2002 end-page: 482 ident: CR3 article-title: Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter? publication-title: Am J Epidemiol doi: 10.1093/aje/kwf068 – ident: CR12 – ident: CR17 – year: 1989 ident: CR7 article-title: Overview, methodological critique, and reformulation publication-title: Pathways to health – ident: CR13 – volume: 99 start-page: 1881 issue: 24 year: 2007 end-page: 1887 ident: CR19 article-title: Interpreting trends in prostate cancer incidence and mortality in the five Nordic countries publication-title: J Natl Cancer Inst doi: 10.1093/jnci/djm249 – ident: CR9 – year: 2006 ident: CR14 publication-title: Katrina and Rita impacts on gulf coast populations: first census findings – volume: 135 start-page: 1 year: 2003 end-page: 55 ident: CR16 article-title: United States Census 2000 population with bridged race categories publication-title: Vital Health Stat Ser 2 – volume: 118 start-page: 818 issue: 6 year: 1983 end-page: 831 ident: CR2 article-title: Socioeconomic and racial differences in lung cancer incidence publication-title: Am J Epidemiol – ident: CR8 – volume: 95 start-page: 868 issue: 12 year: 2003 end-page: 878 ident: CR20 article-title: Lead times and overdetection due to prostate-specific antigen screening: estimates from the European randomized study of screening for prostate cancer publication-title: J Natl Cancer Inst doi: 10.1093/jnci/95.12.868 – start-page: 45 volume-title: Guidance for the National Healthcare Disparities Report year: 2002 ident: 310_CR11 – ident: 310_CR8 – ident: 310_CR9 – ident: 310_CR17 – start-page: 79 volume-title: Handbook of medical sociology year: 2000 ident: 310_CR10 – volume: 102 start-page: 1584 issue: 20 year: 2010 ident: 310_CR18 publication-title: J Natl Cancer Inst doi: 10.1093/jnci/djq366 – volume: 95 start-page: 868 issue: 12 year: 2003 ident: 310_CR20 publication-title: J Natl Cancer Inst doi: 10.1093/jnci/95.12.868 – volume: 20 start-page: 417 issue: 4 year: 2009 ident: 310_CR1 publication-title: Cancer Causes Control doi: 10.1007/s10552-008-9256-0 – volume: 135 start-page: 1 year: 2003 ident: 310_CR16 publication-title: Vital Health Stat Ser 2 – volume: 156 start-page: 471 issue: 5 year: 2002 ident: 310_CR3 publication-title: Am J Epidemiol doi: 10.1093/aje/kwf068 – ident: 310_CR13 – volume: 118 start-page: 818 issue: 6 year: 1983 ident: 310_CR2 publication-title: Am J Epidemiol doi: 10.1093/oxfordjournals.aje.a113700 – ident: 310_CR21 doi: 10.1056/NEJM199312303292701 – ident: 310_CR12 – volume: 99 start-page: 1881 issue: 24 year: 2007 ident: 310_CR19 publication-title: J Natl Cancer Inst doi: 10.1093/jnci/djm249 – volume: 32 start-page: 1105 issue: 10 year: 1991 ident: 310_CR4 publication-title: Soc Sci Med doi: 10.1016/0277-9536(91)90086-R – volume: 54 start-page: 78 issue: 2 year: 2004 ident: 310_CR5 publication-title: CA Cancer J Clin doi: 10.3322/canjclin.54.2.78 – volume-title: Katrina and Rita impacts on gulf coast populations: first census findings year: 2006 ident: 310_CR14 – volume: 12 start-page: 703 issue: 8 year: 2001 ident: 310_CR6 publication-title: Cancer Causes Control doi: 10.1023/A:1011240019516 – volume-title: Pathways to health year: 1989 ident: 310_CR7 – volume: 35 start-page: 124 issue: 3 year: 1981 ident: 310_CR15 publication-title: Am Stat doi: 10.1080/00031305.1981.10479327 |
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Snippet | Purpose: The lack of individual socioeconomic status (SES) information in cancer registry data necessitates the use of area-based measures to investigate... Purpose The lack of individual socioeconomic status (SES) information in cancer registry data necessitates the use of area-based measures to investigate health... The lack of individual socioeconomic status (SES) information in cancer registry data necessitates the use of area-based measures to investigate health... |
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Title | Using a composite index of socioeconomic status to investigate health disparities while protecting the confidentiality of cancer registry data |
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