7/29/2014. FCDS Annual Meeting July 24-25, 2014 Caribe Royale Resort Orlando, Florida

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1 FCDS Annual Meeting July 24-25, 2014 Caribe Royale Resort Orlando, Florida Data collected by central cancer registries is utilized for patient outcomes research Requires complete detailed treatment data Capturing information from physician offices can improve cancer surveillance without increased burden on physicians Medical claims from hospitals and Medicare have been used by central registries for case ascertainment and data enhancement Use of claims from physician offices offers more complete dataset Enables longitudinal tracking Updates patient information with each encounter 1

2 National standard record layout currently used by every private practitioner in the nation o HCFA 1500 (Health Care Financing Administration, now CMS) o 837 Record, Version 5010 (electronic) Using existing insurance industry standard record layout (837 record) o Patient demographics o Insurance type o Patient diagnosis o Procedures o Date of last contact Florida Cancer Data System 5 Diagnosis ICD-9-CM Codes; Principal DX and Comorbid Conditions Florida Cancer Data System 6 2

3 Service Dates Procedure Codes Provider NPI # Florida Cancer Data System 7 To efficiently gather claims information o Need to automate and translate data from medical claims forms o Convert data into established standard coding layouts for national cancer reporting Crosswalk/derive treatment/procedure codes to cancer registry codes o ICD-9-CM International Classification of Disease, 9 th revision o CPT Current Procedural Terminology o HCPC Healthcare Common Procedure Coding System o Anti-neoplastic agents, RT, Hormones o Ancillary therapies to enhance chemo tolerance Florida Cancer Data System 8 Florida Cancer Data System 9 3

4 Manual Claim Alternate Claim 837 Claim Primary Site Treatment Mapping Table (claims codes- Fords-NAACCR) Patient Treatment NAACCR Consolidated Patient-Tumor Abstract Claim-Only Abstract (case finding) FCDS Transmission (SFTP) Patient-Tumor-Matching Claim Database PACS Processing Abstracts from Claims Links with hospital abstract (case augmentation) Links with Path Report (histology/laterality) Florida Cancer Data System 10 Objective: To validate the processing of claims and to evaluate enhancement to chemo treatment information Background: Florida is one of ten states funded for the Comparative Effectiveness Research project. Part of funding for this project aimed at expansion of physician cancer reporting Hernandez MN, MacKinnon JA, Penberthy L, Bonner J, Huang YX. Enhancing Central Cancer Registry Treatment Data Using Physician Medical Claims: A Florida Pilot Project. Journal of Registry Management. Summer 2014, Vol. 41, No. 2 FCDS launched a pilot project using electronic physician medical claims as the reporting standard Established partnership with large, multi-site medical oncology practice as the claims data provider Implemented NCI-funded software with automated algorithm for processing claims (Dr. Lynne Penberthy) 4

5 Florida Cancer Specialists o One of Florida s largest private med/onc practices o More than 120 physicians at 45 locations across state o Developed a trigger mechanism to copy standardized insurance claims forms and transmit to FCDS nightly o Trigger activated by presence of reportable ICD-9-CM code o Began transmitting June 2012 and included medical claims with service dates January 2011 forward Lynne Penberthy, MD, MPH o Responsible for development of MD Office software algorithm o Algorithm translates ICD-9-CM, HCPCS, and CPT codes to populate 56 fields in standardized layout and coding schemas of NAACCR v 12.2 o Resulting NAACR record contains consolidated treatment received by the patient for each ICD-9-CM tumor Pilot captured patient encounters from 1/1/2011 through 9/1/2013 Included cases of breast, colon, rectum cancers or CML diagnosed in 2011, where full first course treatment was received at FCS CER data used as the gold standard as these cases included all treatment details from hospital abstracts and the FCS EMR The CER dataset was used to validate the treatment mapping accuracy from the medical claims Pilot also measured enhancements from claims to the original registry record submitted by hospital facilities 5

6 15,273 claims transmitted from FCS Processed claims to produce claims abstract record by patient/tumor Matched claims abstract to original registry record Linked to 623 CER patient tumors FCS - Claims Abstracts FCS CER abstracts Matched Records for Validation Study Claims records were consolidated by patient and tumor Consolidated record compared to the gold standard record by NAACCR chemotherapy data item 1390 RX Summ Chemo Values compared at two levels o Resulting statistics for chemo received YES/NO o Single/Multi Agent Visual review of false negative/positives Claims captured 41% with chemotherapy, compared to 28% in the registry dataset of cases with chemotherapy captured in the gold standard CER data 50% 40% 35% 30% 25% 20% 15% 10% 28% 41% 5% 0% Gold Standard-CER Registry Claims Registry+Claims 6

7 50% 40% 30% 16.5% Claims 20% 10% 28.4% Registry 0% Registry + Claims Gold Standard - CER Gold Standard CER (%) Claims (%) Registry (%) No Chemotherapy Chemotherapy NOS <1 0 9 Single Agent Multiple Agent Unknown 0 <1 13 Abbreviations: NOS, Not Otherwise Specified; CER, Comparative Effectiveness Research Possible gaps in claims submitted Rapid expansion of FCS practice possible incomplete capture of patient services reported Coding errors/incomplete reporting First course vs. subsequent therapy identification Oral medications not captured on claims 7

8 Single vs. Multiple Primary how to determine metastatic disease? Oral therapy not recorded on claim (dispensed from Pharmacy) First course vs. subsequent course Claim-only records -- Follow back? Physician medical claims data capture chemotherapy information not otherwise reported by facilities Provide standardized and efficient mechanism for cancer reporting Claims data usage considered a sustainable activity Monique N. Hernandez, Ph.D. mhernandez5@med.miam.edu Judy Bonner, RN, MS, CTR jbonner@med.miami.edu 8

9 1. Ellis P, Skeen J, eds. Research on the comparative effectiveness of medical treatments. United States Congressional Budget Office; Dec Accessed 12/16/ Decker SL, Schappert SM, Sisk JE. Use of medical care for chronic conditions. Health Aff. 2009;28(1): Centers for medicare & medicaid services, meaningful use. Centers for Medicare & Medicaid Services Web site. Updated Accessed December 16, Potosky AL, Riley GF, Lubitz JD, Mentnech RM, Kessler LG. Potential for cancer related health services research using a linked medicare-tumor registry database. Med Care. 1993;31(8): Mitchell JB, Bubolz T, Paul JE, et al. Using medicare claims for outcomes research. Med Care. 1994;32(7, Supplement: Conducting Medical Effectiveness Research: A Report from the Inter-PORT Work Groups):JS38-JS Solin LJ, Legorreta A, Schultz DJ, Levin HA, Zatz S, Goodman RL. Analysis of a claims database for the identification of patients with carcinoma of the breast. J Med Syst. 1994;18(1): McClish D. Ability of medicare claims data and cancer registries to identify cancer cases and treatment. Am J Epidemiol. 1997;145(3): Leung K, Hasan AG, Rees KS, Parker RG, Legorreta AP. Patients with newly diagnosed carcinoma of the breast: Validation of a claim-based identification algorithm. J Clin Epidemiol. 1999;52(1): Couris CM, Schott AM, et al. A literature review to assess the use of claims databases in identifying incident cancer cases. Health Services & Outcomes Research Methodology. 2003;4: Koroukian S. Ability of medicaid claims data to identify incident cases of breast cancer in the ohio medicaid population. Health Serv Res. 2003;38(3): Penberthy L, McClish D, Manning C, Sheldon Retchin, Smith T. The added value of claims for cancer surveillance: Results of varying case definitions. Med Care. 2005;43(7): Du X, Freeman JL, Goodwin JS. Information on radiation treatment in patients with breast cancer: The advantages of the linked medicare and SEER data. J Clin Epidemiol. 1999;52(5): Du X, Freeman JL, Warren JL, Nattinger AB, Zhang D, Goodwin JS. Accuracy and completeness of medicare claims data for surgical treatment of breast cancer. Med Care. 2000;38(7): Lamont EB, Lauderdale DS, Schilsky RL, Christakis NA. Construct validity of mdeicare chemotherapy claims: The case of 5FU. Med Care. 2002;40(3): Du XL, Key CR, Dickie L, Darling R, Geraci JM, Zhang D. External validation of medicare claims for breast cancer chemotherapy compared with medical chart reviews. Med Care. 2006;44(2): Penberthy L, McClish D, Agovino P. Impact of automated data collection from urology offices: Improving incidence and treatment reporting in urologic cancers. Journal of Registry Management. 2010;37(4): Penberthy L. Hematologic malignancies: An opportunity to fill a gap in cancer surveillance. Cancer causes & control. 2012;23(8): Cogle CR, Craig BM, Rollinson DE, Alan F. Incidence of the myelodysplastic syndrome using a novel claims-based algorithm: High number of uncaptured cases by cancer registries. Blood. 2011;117: Klabunde CN, Potosky AL, Legler JM, Warren JL. Development of a comorbidity index using physician claims data. J Clin Epidemiol. 2000;53(12): Klabunde CN, Legler JM, Warren JL, Baldwin L, Schrag D. A refined comorbidity measurement algorithm for claims-based studies of breast, prostate, colorectal, and lung cancer patients. Ann Epidemiol. 2007;17(8): Lamont EB, Herndon JE, Weeks JC, et al. Measuring disease-free survival and cancer relapse using medicare claims from CALGB breast cancer trial participants (companion to 9344). Journal of the National Cancer Institute. 2006;98(18): Wang PS, Walker AM, Tsuang MT, Orav J, Levin R, Avorn J. Finding incident breast cancer cases through US claims data and a state cancer registry. Cancer causes & control. 2001;13(3): National Uniform Claim Committee health insurance claim form reference instruction manual. version 8.0. July Health insurance portability and accountability act of :42 U.S.C. 1320d Classifications of diseases, functioning, and disability; international classification of diseases, ninth revision, clinical modification (ICD-9-CM);. Published Updated Accessed 12/16, Healthcare common procedure coding system (HCPCS) code set - general information. Updated Accessed December 16, Current procedural terminology (CPT). Updated Accessed December 16, North American Association of Central Cancer Registries. Standards for cancer registries, volume II: Data standards and data dictionary. 2011(Fifteenth Edition, Record Layout Version 12.2). 9

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