Literature DB >> 10549613

Linked insurance-tumor registry database for health services research.

B N Doebbeling1, D K Wyant, K D McCoy, S Riggs, R F Woolson, D Wagner, R T Wilson, C F Lynch.   

Abstract

OBJECTIVE: Breast cancer screening and treatment data are often limited to restricted populations, including women older than 65 years old. The goal of this project was to develop procedures to link tumor registry and insurance claims databases on women younger than 65 years old with breast cancer and to assess the accuracy and validity of the linked dataset.
METHODS: Iowa Cancer Registry (ICR) and Wellmark Blue Cross/Blue Shield of Iowa (BC/BS) membership files of women with incident in situ or invasive breast cancer from 1989 to 1996 were linked. An automated deterministic match was followed with visual inspection from three independent reviewers applying a matching protocol. Matched and overall registry data were compared to assess population representativeness. Claims from BC/BS for incident cases during 1994 were examined for coding of a recent breast cancer diagnosis or treatment.
RESULTS: The final dataset included 4,397 matched cases of patients aged 21 years and older from 1989 to 1996. The sociodemographic and tumor characteristics of the ICR population younger than 65 years old (n = 7,469) with breast cancer or carcinoma in situ were nearly identical with those of the matched patients younger than 65 years old (n = 3,449). Nearly all (96%) of the 445 matched incident cases in 1994 had claims data (CPT, DRG, or ICD-9 code) indicative of breast cancer. Treatment patterns varied by data source, with agreement ranging from 76% to 82%.
CONCLUSIONS: The validity and generalizability of these data demonstrate their potential for further health services research among younger insured women with breast cancer. Additionally, the process outlined may be useful for developing other datasets to study other cancers in the population younger than 65 years old.

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Year:  1999        PMID: 10549613     DOI: 10.1097/00005650-199911000-00003

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


  6 in total

1.  Ability of Medicaid claims data to identify incident cases of breast cancer in the Ohio Medicaid population.

Authors:  Siran M Koroukian; Gregory S Cooper; Alfred A Rimm
Journal:  Health Serv Res       Date:  2003-06       Impact factor: 3.402

2.  Evaluation of record linkage between a large healthcare provider and the Utah Population Database.

Authors:  Scott L DuVall; Alison M Fraser; Kerry Rowe; Alun Thomas; Geraldine P Mineau
Journal:  J Am Med Inform Assoc       Date:  2011-09-16       Impact factor: 4.497

3.  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

4.  Analyzing partially missing confounder information in comparative effectiveness and safety research of therapeutics.

Authors:  Sengwee Toh; Luis A García Rodríguez; Miguel A Hernán
Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-05       Impact factor: 2.890

5.  Feasibility of Capturing Cancer Treatment Data in the Utah All-Payer Claims Database.

Authors:  Mia Hashibe; Judy Y Ou; Kimberly Herget; Dan Bolton; Jordan McPherson; Charles Hawley; Jennifer Garvin; Jennifer A Doherty; Carol Sweeney
Journal:  JCO Clin Cancer Inform       Date:  2019-10

6.  Consistency and accuracy of diagnostic cancer codes generated by automated registration: comparison with manual registration.

Authors:  Giovanna Tagliabue; Anna Maghini; Sabrina Fabiano; Andrea Tittarelli; Emanuela Frassoldi; Enrica Costa; Silvia Nobile; Tiziana Codazzi; Paolo Crosignani; Roberto Tessandori; Paolo Contiero
Journal:  Popul Health Metr       Date:  2006-09-28
  6 in total

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