Literature DB >> 17279022

The utility of administrative data for measuring adherence to cancer surveillance care guidelines.

Gregory S Cooper1, Lonni Schultz, Janine Simpkins, Jennifer Elston Lafata.   

Abstract

BACKGROUND: Adherence to professional society guidelines for follow-up or surveillance care in cancer survivors usually is measured with medical record review. Administrative data represent an alternative approach that may encompass larger numbers of patients with relatively low incremental costs.
OBJECTIVES: We sought to determine the feasibility of using claims data to measure guideline adherence.
METHODS: By reviewing paper and electronic medical records and claims data of 429 patients with 1 of 5 common cancers who received treatment with curative intent, we compared specific procedure receipt as well as guideline adherence classification as derived from claims and medical record data. Concordance was measured via kappa statistics. MEASURES: Care in the initial 18-month follow-up period was characterized as less than recommended, recommended, or greater than recommended per practice guidelines in both medical record and administrative data.
RESULTS: Matching rates for individual procedures varied and were generally highest for certain laboratory tests and lowest for physical examinations. There were generally good-to-excellent levels of agreement (kappa=0.34-0.96) between a patient's classification in claims data and medical record data. No consistent differences in agreement were observed according to insurance type.
CONCLUSIONS: In general, claims data capturing procedures and visit use for characterizing guideline adherence was comparable with what was documented in the medical record and suggests that if validated in other settings, administrative data could be used to describe patterns of follow up care.

Entities:  

Mesh:

Year:  2007        PMID: 17279022     DOI: 10.1097/01.mlr.0000241107.15133.54

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  18 in total

1.  Surveillance of pancreatic cancer patients after surgical resection.

Authors:  Kristin M Sheffield; Kristen T Crowell; Yu-Li Lin; Clarisse Djukom; James S Goodwin; Taylor S Riall
Journal:  Ann Surg Oncol       Date:  2011-12-06       Impact factor: 5.344

2.  Population-based longitudinal study of follow-up care for breast cancer survivors.

Authors:  Eva Grunfeld; David C Hodgson; M Elisabeth Del Giudice; Rahim Moineddin
Journal:  J Oncol Pract       Date:  2010-07       Impact factor: 3.840

3.  Preventive care receipt and office visit use among breast and colorectal cancer survivors relative to age- and gender-matched cancer-free controls.

Authors:  Jennifer Elston Lafata; Ramzi G Salloum; Paul A Fishman; Debra Pearson Ritzwoller; Maureen C O'Keeffe-Rosetti; Mark C Hornbrook
Journal:  J Cancer Surviv       Date:  2014-09-25       Impact factor: 4.442

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

Authors:  Samir Gupta; Liyue Tong; Paula Anderson; Bonnie Rose; Elizabeth Carter; Mark Koch; Keith Argenbright; Chul Ahn; James Allison; Celette Sugg Skinner
Journal:  Am J Med Sci       Date:  2013-02       Impact factor: 2.378

5.  Agreement between structured checklists and Medicaid claims for preventive dental visits in primary care medical offices.

Authors:  Bhavna T Pahel; R Gary Rozier; Sally C Stearns
Journal:  Health Informatics J       Date:  2010-06       Impact factor: 2.681

6.  Adherence to surveillance care guidelines after breast and colorectal cancer treatment with curative intent.

Authors:  Ramzi G Salloum; Mark C Hornbrook; Paul A Fishman; Debra P Ritzwoller; Maureen C O'Keeffe Rossetti; Jennifer Elston Lafata
Journal:  Cancer       Date:  2012-03-20       Impact factor: 6.860

7.  VA-INPC: Linking Department of Veterans Affairs (VA) and Indiana Network for Patient Care (INPC) data to assess surveillance testing among veterans with colorectal cancer.

Authors:  David A Haggstrom; Marc Rosenman; Laura J Myers; Evgenia Teal; Bradley N Doebbeling
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

8.  Treatment patterns for prostate cancer: comparison of Medicare claims data to medical record review.

Authors:  Steven T Fleming; Ann S Hamilton; Susan A Sabatino; Gretchen G Kimmick; Xiao-Cheng Wu; Jean B Owen; Bin Huang; Wenke Hwang
Journal:  Med Care       Date:  2014-09       Impact factor: 2.983

9.  The role of poverty rate and racial distribution in the geographic clustering of breast cancer survival among older women: a geographic and multilevel analysis.

Authors:  Mario Schootman; Donna B Jeffe; Min Lian; William E Gillanders; Rebecca Aft
Journal:  Am J Epidemiol       Date:  2008-12-22       Impact factor: 4.897

10.  Racial disparities in the development of breast cancer metastases among older women: a multilevel study.

Authors:  Mario Schootman; Donna B Jeffe; William E Gillanders; Rebecca Aft
Journal:  Cancer       Date:  2009-02-15       Impact factor: 6.860

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