Literature DB >> 30135072

Social Disadvantage, Healthcare Utilization, and Colorectal Cancer Screening: Leveraging Longitudinal Patient Address and Health Records Data.

Amy E Hughes1, Jasmin A Tiro2,3, Bijal A Balasubramanian3,4, Celette Sugg Skinner2,3, Sandi L Pruitt2,3.   

Abstract

BACKGROUND: Social disadvantage predicts colorectal cancer outcomes across the cancer care continuum for many populations and places. For medically underserved populations, social disadvantage is likely intersectional-affecting individuals at multiple levels and through membership in multiple disadvantaged groups. However, most measures of social disadvantage are cross-sectional and limited to race, ethnicity, and income. Linkages between electronic health records (EHR) and external datasets offer rich, multilevel measures that may be more informative.
METHODS: We identified urban safety-net patients eligible and due for colorectal cancer screening from the Parkland-UT Southwestern PROSPR cohort. We assessed one-time screening receipt (via colonoscopy or fecal immunochemical test) in the 18 months following cohort entry via the EHR. We linked EHR data to housing and Census data to generate measures of social disadvantage at the parcel- and block-group level. We evaluated the association of these measures with screening using multilevel logistic regression models controlling for sociodemographics, comorbidity, and healthcare utilization.
RESULTS: Among 32,965 patients, 45.1% received screening. In adjusted models, residential mobility, residence type, and neighborhood majority race were associated with colorectal cancer screening. Nearly all measures of patient-level social disadvantage and healthcare utilization were significant.
CONCLUSIONS: Address-based linkage of EHRs to external datasets may have the potential to expand meaningful measurement of multilevel social disadvantage. Researchers should strive to use granular, specific data in investigations of social disadvantage. IMPACT: Generating multilevel measures of social disadvantage through address-based linkages efficiently uses existing EHR data for applied, population-level research. ©2018 American Association for Cancer Research.

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Year:  2018        PMID: 30135072      PMCID: PMC6279539          DOI: 10.1158/1055-9965.EPI-18-0446

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  64 in total

1.  Health services research and data linkages: issues, methods, and directions for the future.

Authors:  Cathy J Bradley; Lynne Penberthy; Kelly J Devers; Debra J Holden
Journal:  Health Serv Res       Date:  2010-08-02       Impact factor: 3.402

2.  Social ties and colorectal cancer screening among Blacks and Whites in North Carolina.

Authors:  Anita Yeomans Kinney; Lindsey E Bloor; Christopher Martin; Robert S Sandler
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-01       Impact factor: 4.254

3.  Reducing Variation in the "Standard of Care" for Cancer Screening: Recommendations From the PROSPR Consortium.

Authors:  Douglas A Corley; Jennifer S Haas; Sarah Kobrin
Journal:  JAMA       Date:  2016-05-17       Impact factor: 56.272

4.  Integrating Data On Social Determinants Of Health Into Electronic Health Records.

Authors:  Michael N Cantor; Lorna Thorpe
Journal:  Health Aff (Millwood)       Date:  2018-04       Impact factor: 6.301

Review 5.  Socioeconomic status and health. The challenge of the gradient.

Authors:  N E Adler; T Boyce; M A Chesney; S Cohen; S Folkman; R L Kahn; S L Syme
Journal:  Am Psychol       Date:  1994-01

6.  Neighborhood economic conditions, social processes, and self-rated health in low-income neighborhoods in Texas: a multilevel latent variables model.

Authors:  Luisa Franzini; Margaret Caughy; William Spears; Maria Eugenia Fernandez Esquer
Journal:  Soc Sci Med       Date:  2005-04-26       Impact factor: 4.634

7.  Racial and ethnic disparities in cancer screening: the importance of foreign birth as a barrier to care.

Authors:  Mita Sanghavi Goel; Christina C Wee; Ellen P McCarthy; Roger B Davis; Quyen Ngo-Metzger; Russell S Phillips
Journal:  J Gen Intern Med       Date:  2003-12       Impact factor: 5.128

8.  Patterns and predictors of colorectal cancer test use in the adult U.S. population.

Authors:  Laura C Seeff; Marion R Nadel; Carrie N Klabunde; Trevor Thompson; Jean A Shapiro; Sally W Vernon; Ralph J Coates
Journal:  Cancer       Date:  2004-05-15       Impact factor: 6.860

9.  Social disadvantages in childhood and risk of all-cause death and cardiovascular disease in later life: a comparison of historical and retrospective childhood information.

Authors:  Laura Kauhanen; Hanna-Maaria Lakka; John W Lynch; Jussi Kauhanen
Journal:  Int J Epidemiol       Date:  2006-03-23       Impact factor: 7.196

10.  Geographic variation and effect of area-level poverty rate on colorectal cancer screening.

Authors:  Min Lian; Mario Schootman; Shumei Yun
Journal:  BMC Public Health       Date:  2008-10-16       Impact factor: 3.295

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  8 in total

1.  Low Colorectal Cancer Screening Uptake and Persistent Disparities in an Underserved Urban Population.

Authors:  Katherine Ni; Kelli O'Connell; Sanya Anand; Stephanie C Yakoubovitch; Simona C Kwon; Rabia Ali de Latour; Andrew B Wallach; Scott E Sherman; Mengmeng Du; Peter S Liang
Journal:  Cancer Prev Res (Phila)       Date:  2020-02-03

2.  Social determinants of health in electronic health records and their impact on analysis and risk prediction: A systematic review.

Authors:  Min Chen; Xuan Tan; Rema Padman
Journal:  J Am Med Inform Assoc       Date:  2020-11-01       Impact factor: 4.497

3.  Examining the Association of Food Insecurity and Being Up-to-Date for Breast and Colorectal Cancer Screenings.

Authors:  Jason A Mendoza; Carrie A Miller; Kelly J Martin; Ken Resnicow; Ronaldo Iachan; Babalola Faseru; Corinne McDaniels-Davidson; Yangyang Deng; Maria Elena Martinez; Wendy Demark-Wahnefried; Amy E Leader; DeAnn Lazovich; Jakob D Jensen; Katherine J Briant; Bernard F Fuemmeler
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2022-05-04       Impact factor: 4.090

4.  The Texas Health Resources Clinical Scholars Program: Learning healthcare system workforce development through embedded translational research.

Authors:  Andrew L Masica; Ferdinand Velasco; Tanna L Nelson; Richard J Medford; Amy E Hughes; Ambarish Pandey; Eric D Peterson; Christoph U Lehmann
Journal:  Learn Health Syst       Date:  2022-09-04

5.  Conceptual Framework to Support Clinical Trial Optimization and End-to-End Enrollment Workflow.

Authors:  Neha M Jain; Alison Culley; Teresa Knoop; Christine Micheel; Travis Osterman; Mia Levy
Journal:  JCO Clin Cancer Inform       Date:  2019-06

6.  Spatial Insights for Understanding Colorectal Cancer Screening in Disproportionately Affected Populations, Central Texas, 2019.

Authors:  F Benjamin Zhan; Niaz Morshed; Nicole Kluz; Bretta Candelaria; Eda Baykal-Caglar; Anjum Khurshid; Michael P Pignone
Journal:  Prev Chronic Dis       Date:  2021-03-04       Impact factor: 2.830

7.  Antibiotics Use and Subsequent Risk of Colorectal Cancer: A Swedish Nationwide Population-Based Study.

Authors:  Sai San Moon Lu; Zahraa Mohammed; Christel Häggström; Robin Myte; Elisabeth Lindquist; Åsa Gylfe; Bethany Van Guelpen; Sophia Harlid
Journal:  J Natl Cancer Inst       Date:  2022-01-11       Impact factor: 13.506

8.  County-Level Social Vulnerability and Breast, Cervical, and Colorectal Cancer Screening Rates in the US, 2018.

Authors:  Cici Bauer; Kehe Zhang; Qian Xiao; Jiachen Lu; Young-Rock Hong; Ryan Suk
Journal:  JAMA Netw Open       Date:  2022-09-01
  8 in total

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