Literature DB >> 32412076

Updated Overview of the SEER-Medicare Data: Enhanced Content and Applications.

Lindsey Enewold1, Helen Parsons2, Lirong Zhao3, David Bott3, Donna R Rivera4, Michael J Barrett5, Beth A Virnig2, Joan L Warren1.   

Abstract

BACKGROUND: The National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER)-Medicare-linked database was first created almost 30 years ago. Over time, additional data have been added to the SEER-Medicare database, allowing for expanded insights into the delivery of health care across the cancer continuum from screening to end of life.
METHODS: This article includes an overview of the current SEER-Medicare database, presenting potential users with an introduction to how the data can facilitate innovative epidemiologic and health services research studies. With a focus on the population 65 years and older, this article presents descriptive data on beneficiary demographics, cancer characteristics, service settings, Medicare coverage (eg, Parts A, B, C, and D), and use (number of services or bills) from 2011 to 2015.
RESULTS: From 2011 to 2015, 857 056 cancer patients and 601 470 population-based noncancer controls were added to the database. The database includes detailed tumor characteristics and clinical assessments for cancer cases, and demographics and health-care use (eg, hospitals, outpatient facilities, individual providers, hospice, home health-care providers, and pharmacies) for both cases and controls. Although characteristics varied overall between cases and controls, sufficient cancer-specific matched controls are available. Roughly 60% of cases were enrolled in fee for service at cancer diagnosis. The annual average number of claims per case was 60.7 and 92.3 during the year before and after cancer diagnosis, respectively, and 127.5 during the year before death.
CONCLUSIONS: The large sample size and diverse array of data on cancer patients and noncancer controls in the SEER-Medicare database make it a unique resource for conducting cancer health services research. Published by Oxford University Press 2020. This work is written by US Government employees and is in the public domain in the US.

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Year:  2020        PMID: 32412076      PMCID: PMC7225666          DOI: 10.1093/jncimonographs/lgz029

Source DB:  PubMed          Journal:  J Natl Cancer Inst Monogr        ISSN: 1052-6773


  28 in total

1.  Association between persistence with mammography screening and stage at diagnosis among elderly women diagnosed with breast cancer.

Authors:  Ami Vyas; Suresh Madhavan; Usha Sambamoorthi
Journal:  Breast Cancer Res Treat       Date:  2014-11-16       Impact factor: 4.872

2.  Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population.

Authors:  Joan L Warren; Carrie N Klabunde; Deborah Schrag; Peter B Bach; Gerald F Riley
Journal:  Med Care       Date:  2002-08       Impact factor: 2.983

3.  Risk of pelvic fractures in older women following pelvic irradiation.

Authors:  Nancy N Baxter; Elizabeth B Habermann; Joel E Tepper; Sara B Durham; Beth A Virnig
Journal:  JAMA       Date:  2005-11-23       Impact factor: 56.272

4.  Expected Monetary Impact of Oncotype DX Score-Concordant Systemic Breast Cancer Therapy Based on the TAILORx Trial.

Authors:  Angela Mariotto; Jinani Jayasekerea; Valentina Petkov; Clyde B Schechter; Lindsey Enewold; Kathy J Helzlsouer; Eric J Feuer; Jeanne S Mandelblatt
Journal:  J Natl Cancer Inst       Date:  2020-02-01       Impact factor: 13.506

5.  Assessing the Generalizability of the National Lung Screening Trial: Comparison of Patients with Stage 1 Disease.

Authors:  Nichole T Tanner; Lin Dai; Brett C Bade; Mulugeta Gebregziabher; Gerard A Silvestri
Journal:  Am J Respir Crit Care Med       Date:  2017-09-01       Impact factor: 21.405

6.  Is Travel Time to Colonoscopy Associated With Late-Stage Colorectal Cancer Among Medicare Beneficiaries in Iowa?

Authors:  Mary E Charlton; Kevin A Matthews; Anne Gaglioti; Camden Bay; Bradley D McDowell; Marcia M Ward; Barcey T Levy
Journal:  J Rural Health       Date:  2015-11-26       Impact factor: 4.333

7.  Potential for cancer related health services research using a linked Medicare-tumor registry database.

Authors:  A L Potosky; G F Riley; J D Lubitz; R M Mentnech; L G Kessler
Journal:  Med Care       Date:  1993-08       Impact factor: 2.983

8.  Unveiling SEER-CAHPS®: a new data resource for quality of care research.

Authors:  Neetu Chawla; Matthew Urato; Anita Ambs; Nicola Schussler; Ron D Hays; Steven B Clauser; Alan M Zaslavsky; Kayo Walsh; Margot Schwartz; Michael Halpern; Sarah Gaillot; Elizabeth H Goldstein; Neeraj K Arora
Journal:  J Gen Intern Med       Date:  2015-01-14       Impact factor: 6.473

9.  Comparison of Medicare Claims-based Proxy Measures of Poor Function and Associations With Treatment Receipt and Mortality in Older Colon Cancer Patients.

Authors:  Sophie E Mayer; Hung-Jui Tan; Sharon Peacock Hinton; Hanna K Sanoff; Til Stürmer; Laura L Hester; Keturah R Faurot; Michele Jonsson Funk; Jennifer L Lund
Journal:  Med Care       Date:  2019-04       Impact factor: 3.178

10.  Comparative Toxicity and Effectiveness of Trastuzumab-Based Chemotherapy Regimens in Older Women With Early-Stage Breast Cancer.

Authors:  Katherine E Reeder-Hayes; Anne Marie Meyer; Sharon Peacock Hinton; Ke Meng; Lisa A Carey; Stacie B Dusetzina
Journal:  J Clin Oncol       Date:  2017-07-20       Impact factor: 50.717

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  36 in total

1.  Neoadjuvant chemotherapy use trends among older women with breast cancer: 2010-2017.

Authors:  Hanxi Zhang; Jamie C Barner; Leticia R Moczygemba; Karen L Rascati; Chanhyun Park; Dhatri Kodali
Journal:  Breast Cancer Res Treat       Date:  2022-04-21       Impact factor: 4.872

2.  Associations of Inflammatory Bowel Disease and Subsequent Cancers in a Population-Based Study of Older Adults in the United States.

Authors:  Jeanny H Wang; Monica D'Arcy; Edward L Barnes; Neal D Freedman; Eric A Engels; Minkyo Song
Journal:  JNCI Cancer Spectr       Date:  2021-12-23

3.  Risk of an Opioid-Related Emergency Department Visit or Hospitalization Among Older Breast, Colorectal, Lung, and Prostate Cancer Survivors.

Authors:  Derrick C Gibson; Mukaila A Raji; Holly M Holmes; Jacques G Baillargeon; Yong-Fang Kuo
Journal:  Mayo Clin Proc       Date:  2022-02-05       Impact factor: 7.616

4.  Addressing Cancer Financial Hardship Begins With Comprehensive Assessment of Patient Economic Burden.

Authors:  Ya-Chen Tina Shih; Joseph Lipscomb
Journal:  J Natl Cancer Inst       Date:  2021-10-26       Impact factor: 13.506

5.  Overall survival with warfarin vs. low-molecular-weight heparin in cancer-associated thrombosis.

Authors:  Thita Chiasakul; Robert Redd; Rushad Patell; Adeel M Khan; Ellen P McCarthy; Donna Neuberg; Jeffrey I Zwicker
Journal:  J Thromb Haemost       Date:  2021-09-21       Impact factor: 5.824

6.  A History of Health Economics and Healthcare Delivery Research at the National Cancer Institute.

Authors:  V Paul Doria-Rose; Nancy Breen; Martin L Brown; Eric J Feuer; Ann M Geiger; Larry Kessler; Joseph Lipscomb; Joan L Warren; K Robin Yabroff
Journal:  J Natl Cancer Inst Monogr       Date:  2022-07-05

7.  New Data Resources, Linkages, and Infrastructure for Cancer Health Economics Research: Main Topics From a Panel Discussion.

Authors:  Stacie B Dusetzina PhD; Lindsey Enewold Mph PhD; Danielle Gentile PhD; Scott D Ramsey Md PhD; Michael T Halpern
Journal:  J Natl Cancer Inst Monogr       Date:  2022-07-05

8.  The Influence of Hospital Characteristics on Patient Survival in Surgically Managed Metastatic Disease of Bone: An Analysis of the SEER-Medicare Linked Database.

Authors:  Emma L Herbach; Bradley D McDowell; Elizabeth A Chrischilles; Benjamin J Miller
Journal:  Am J Clin Oncol       Date:  2022-07-06       Impact factor: 2.787

9.  Food Environments and Hepatocellular Carcinoma Incidence.

Authors:  Mimi Ton; Michael J Widener; Peter James; Trang VoPham
Journal:  Int J Environ Res Public Health       Date:  2021-05-27       Impact factor: 3.390

10.  Cannabis use is associated with patient and clinical factors in a population-based sample of colorectal cancer survivors.

Authors:  P A Newcomb; M Ton; R C Malen; J L Heffner; J Labadie; A I Phipps; A N Burnett-Hartman
Journal:  Cancer Causes Control       Date:  2021-07-14       Impact factor: 2.532

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