Assessing cancer treatment information using Medicare and hospital discharge data among women with non-Hodgkin lymphoma in a Los Angeles County case-control study
Supporting Files
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5 2020
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File Language:
English
Details
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Alternative Title:Cancer Epidemiol Biomarkers Prev
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Personal Author:
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Description:Background:
We assessed the ability to supplement existing epidemiological/etiologic studies with data on treatment and clinical outcomes by linking to publicly available cancer registry and administrative databases.
Methods:
Medical records were retrieved and abstracted for cases enrolled in a Los Angeles County case-control study of non-Hodgkin Lymphoma(NHL). Cases were linked to the Los Angeles County cancer registry(CSP), the California state hospitalization discharge database(OSHPD), and the Surveillance, Epidemiology and End Results Registry(SEER)-Medicare database. We assessed sensitivity, specificity, and positive predictive value(PPV) of cancer treatment in linked databases, compared to medical record abstraction.
Results:
We successfully retrieved medical records for 918 of 1,004 participating NHL cases and abstracted treatment for 698. We linked 59% of cases(96% of cases >65 years old) to SEER-Medicare and 96% to OSHPD. Chemotherapy was the most common treatment and best captured, with the highest sensitivity in SEER-Medicare(80%) and CSP(74%); combining all three data sources together increased sensitivity(92%), at reduced specificity(56%). Sensitivity for radiotherapy was moderate; 77% with aggregated data. Sensitivity of BMT was low in the CSP(42%), but high for the administrative databases, especially OSHPD(98%). Sensitivity for surgery reached 83% when considering all three datasets in aggregate, but PPV was 60%. In general, sensitivity and PPV for chronic lymphocytic leukemia/small lymphocytic lymphoma(CLL/SLL) were low.
Conclusions:
Chemotherapy was accurately captured by all data sources. Hospitalization data yielded the highest performance values for BMTs. Performance measures for radiotherapy and surgery were moderate.
Impact:
Various administrative databases can supplement epidemiological studies depending on treatment type and NHL subtype of interest.
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Subjects:
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Keywords:
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Source:Cancer Epidemiol Biomarkers Prev. 29(5):936-941
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Pubmed ID:32066614
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Pubmed Central ID:PMC7196521
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Document Type:
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Funding:R01 CA166219/CA/NCI NIH HHSUnited States/ ; HHSN261201000035C/CA/NCI NIH HHSUnited States/ ; HHSN261201000035I/CA/NCI NIH HHSUnited States/ ; HHSN261201000034C/CA/NCI NIH HHSUnited States/ ; P01 CA017054/CA/NCI NIH HHSUnited States/ ; HHSN261201000140C/CA/NCI NIH HHSUnited States/ ; R01 CA108634/CA/NCI NIH HHSUnited States/ ; U58 DP003862/DP/NCCDPHP CDC HHSUnited States/ ; P30 CA033572/CA/NCI NIH HHSUnited States/
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Volume:29
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Issue:5
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Collection(s):
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Main Document Checksum:urn:sha-512:82ee1b97b14e03b0fc2e24554b75be0ac2c1d718f34552d5fe0a73f75d8aa8c059a43669e6c865dfb4f2fcd4e9f4ee7f72ded60630f8cbfca1d2169ec91abe1d
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Download URL:
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File Type:
Supporting Files
File Language:
English
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