Literature DB >> 22814361

Measurement of colorectal cancer test use with medical claims data in a safety-net health system.

Samir Gupta1, Liyue Tong, Paula Anderson, Bonnie Rose, Elizabeth Carter, Mark Koch, Keith Argenbright, Chul Ahn, James Allison, Celette Sugg Skinner.   

Abstract

BACKGROUND: Optimizing colorectal cancer (CRC) screening requires identification of unscreened individuals and tracking screening trends. A recent National Institutes of Health State of the Science Conference, "Enhancing Use and Quality of CRC Screening," cited a need for more population data sources for measurement of CRC screening, particularly for the medically underserved. Medical claims data (claims data) are created and maintained by many health systems to facilitate billing for services rendered and may be an efficient resource for identifying unscreened individuals. The aim of this study, conducted at a safety-net health system, was to determine whether CRC test use measured by claims data matches medical chart documentation.
METHODS: The authors randomly selected 400 patients from a universe of 20,000 patients previously included in an analysis of CRC test use based on claims data 2002-2006 in Tarrant Co, TX. Claims data were compared with medical chart documentation by estimation of agreement and examination of test use over/underdocumentation.
RESULTS: The authors found that agreement on test use was very good for fecal occult blood testing (κ = 0.83, 95% confidence interval: 0.75-0.90) and colonoscopy (κ = 0.91, 95% confidence interval: 0.85-0.96) and fair for sigmoidoscopy (κ = 0.39, 95% confidence interval: 0.28-0.49). Over- and underdocumentations of the 2 most commonly used CRC tests--colonoscopy and fecal occult blood testing--were rare.
CONCLUSIONS: Use of claims data by health systems to measure CRC test use is a promising alternative to measuring CRC test use with medical chart review and may be used to identify unscreened patients for screening interventions and track screening trends over time.

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Year:  2013        PMID: 22814361      PMCID: PMC3479334          DOI: 10.1097/MAJ.0b013e31824dd1b6

Source DB:  PubMed          Journal:  Am J Med Sci        ISSN: 0002-9629            Impact factor:   2.378


  19 in total

1.  Validity of procedure codes in International Classification of Diseases, 9th revision, clinical modification administrative data.

Authors:  Hude Quan; Gerry A Parsons; William A Ghali
Journal:  Med Care       Date:  2004-08       Impact factor: 2.983

2.  Data sources for measuring colorectal endoscopy use among Medicare enrollees.

Authors:  Anna P Schenck; Carrie N Klabunde; Joan L Warren; Sharon Peacock; William W Davis; Sarah T Hawley; Michael Pignone; David F Ransohoff
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-10       Impact factor: 4.254

3.  Electronic health records in ambulatory care--a national survey of physicians.

Authors:  Catherine M DesRoches; Eric G Campbell; Sowmya R Rao; Karen Donelan; Timothy G Ferris; Ashish Jha; Rainu Kaushal; Douglas E Levy; Sara Rosenbaum; Alexandra E Shields; David Blumenthal
Journal:  N Engl J Med       Date:  2008-06-18       Impact factor: 91.245

4.  Assessment of the scientific soundness of clinical performance measures: a field test of the National Committee for Quality Assurance's colorectal cancer screening measure.

Authors:  Eric C Schneider; Marion R Nadel; Alan M Zaslavsky; Elizabeth A McGlynn
Journal:  Arch Intern Med       Date:  2008-04-28

5.  Evaluation of claims, medical records, and self-report for measuring fecal occult blood testing among medicare enrollees in fee for service.

Authors:  Anna P Schenck; Carrie N Klabunde; Joan L Warren; Sharon Peacock; William W Davis; Sarah T Hawley; Michael Pignone; David F Ransohoff
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-04-01       Impact factor: 4.254

Review 6.  NIH state-of-the-science conference statement: Enhancing use and quality of colorectal cancer screening.

Authors:  Donald Steinwachs; Jennifer Dacey Allen; William Eric Barlow; R Paul Duncan; Leonard E Egede; Lawrence S Friedman; Nancy L Keating; Paula Kim; Judith R Lave; Thomas A LaVeist; Roberta B Ness; Robert J Optican; Beth A Virnig
Journal:  NIH Consens State Sci Statements       Date:  2010-02-04

Review 7.  Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology.

Authors:  Bernard Levin; David A Lieberman; Beth McFarland; Kimberly S Andrews; Durado Brooks; John Bond; Chiranjeev Dash; Francis M Giardiello; Seth Glick; David Johnson; C Daniel Johnson; Theodore R Levin; Perry J Pickhardt; Douglas K Rex; Robert A Smith; Alan Thorson; Sidney J Winawer
Journal:  Gastroenterology       Date:  2008-02-08       Impact factor: 22.682

8.  Underuse of colorectal cancer screening in a cohort of Medicare beneficiaries.

Authors:  Gregory S Cooper; Tzuyung Doug Kou
Journal:  Cancer       Date:  2008-01-15       Impact factor: 6.860

9.  Trends in colorectal cancer screening disparities in people aged 50-64 years, 2000-2005.

Authors:  Katrina F Trivers; Kate M Shaw; Susan A Sabatino; Jean A Shapiro; Ralph J Coates
Journal:  Am J Prev Med       Date:  2008-07-10       Impact factor: 5.043

10.  Evaluating test strategies for colorectal cancer screening: a decision analysis for the U.S. Preventive Services Task Force.

Authors:  Ann G Zauber; Iris Lansdorp-Vogelaar; Amy B Knudsen; Janneke Wilschut; Marjolein van Ballegooijen; Karen M Kuntz
Journal:  Ann Intern Med       Date:  2008-10-06       Impact factor: 25.391

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  7 in total

1.  Geographic and population-level disparities in colorectal cancer testing: A multilevel analysis of Medicaid and commercial claims data.

Authors:  Melinda M Davis; Stephanie Renfro; Robyn Pham; Kristen Hassmiller Lich; Jackilen Shannon; Gloria D Coronado; Stephanie B Wheeler
Journal:  Prev Med       Date:  2017-05-13       Impact factor: 4.018

2.  Change in colorectal cancer (CRC) testing rates associated with the introduction of the first organized screening program in canton Uri, Switzerland: Evidence from insurance claims data analyses from 2010 to 2018.

Authors:  Sarah Bissig; Lamprini Syrogiannouli; Rémi Schneider; Kali Tal; Kevin Selby; Cinzia Del Giovane; Jean-Luc Bulliard; Oliver Senn; Cyril Ducros; Christian P R Schmid; Urs Marbet; Reto Auer
Journal:  Prev Med Rep       Date:  2022-06-10

3.  Patients' perceptions of colorectal cancer screening tests and preparatory education in federally qualified health centers.

Authors:  Clement K Gwede; Alexis M Koskan; Gwendolyn P Quinn; Stacy N Davis; Jamila Ealey; Rania Abdulla; Susan T Vadaparampil; Gloria Elliott; Diana Lopez; David Shibata; Richard G Roetzheim; Cathy D Meade
Journal:  J Cancer Educ       Date:  2015-06       Impact factor: 2.037

4.  Mailed fecal immunochemical test outreach for colorectal cancer screening: Summary of a Centers for Disease Control and Prevention-sponsored Summit.

Authors:  Samir Gupta; Gloria D Coronado; Keith Argenbright; Alison T Brenner; Sheila F Castañeda; Jason A Dominitz; Beverly Green; Rachel B Issaka; Theodore R Levin; Daniel S Reuland; Lisa C Richardson; Douglas J Robertson; Amit G Singal; Michael Pignone
Journal:  CA Cancer J Clin       Date:  2020-06-25       Impact factor: 286.130

5.  Development of an Algorithm to Classify Colonoscopy Indication from Coded Health Care Data.

Authors:  Kenneth F Adams; Eric A Johnson; Jessica Chubak; Aruna Kamineni; Chyke A Doubeni; Diana S M Buist; Andrew E Williams; Sheila Weinmann; V Paul Doria-Rose; Carolyn M Rutter
Journal:  EGEMS (Wash DC)       Date:  2015-05-18

6.  Costs and repeat rates associated with colonoscopy observed in medical claims for commercial and Medicare populations.

Authors:  Bruce Pyenson; Charles Scammell; Jonah Broulette
Journal:  BMC Health Serv Res       Date:  2014-02-26       Impact factor: 2.655

7.  Health plan adaptations to a mailed outreach program for colorectal cancer screening among Medicaid and Medicare enrollees: the BeneFIT study.

Authors:  Gloria D Coronado; Jennifer L Schneider; Beverly B Green; Jennifer K Coury; Malaika R Schwartz; Yogini Kulkarni-Sharma; Laura Mae Baldwin
Journal:  Implement Sci       Date:  2020-09-15       Impact factor: 7.327

  7 in total

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