Literature DB >> 1745080

Accuracy of Medicare claims data for estimation of cancer incidence and resection rates among elderly Americans.

J Whittle1, E P Steinberg, G F Anderson, R Herbert.   

Abstract

To explore the reliability of Medicare Part A claims data for clinical and health services research related to the care of patients with cancer, the authors compared estimates of the incidence of and resection rates for cancer of the breast, colon, and lung derived from analysis of Medicare Part A data versus data from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) Program. Incidence rates of breast, colon, and lung cancer estimated from Medicare Part A data were within 6% of estimates derived from SEER data. Resection rates estimated from Medicare Part A data, in contrast, were 12% to 27% lower than resection rates based on SEER data. This discrepancy is not explained by variations in practice between regions participating in versus those not participating in the SEER registries but may be due to undercoding of surgical procedures in Medicare Part A data. This analysis suggests that Medicare data can provide useful insights into the care of patients with cancer, but research regarding inpatient procedures employed in management of cancer should be based on analysis of Medicare Parts A and B data combined.

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Year:  1991        PMID: 1745080     DOI: 10.1097/00005650-199112000-00005

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


  16 in total

1.  Estimation of disease incidence in claims data dependent on the length of follow-up: a methodological approach.

Authors:  Sascha Abbas; Peter Ihle; Ingrid Köster; Ingrid Schubert
Journal:  Health Serv Res       Date:  2012-04       Impact factor: 3.402

2.  External validation of medicare claims for breast cancer chemotherapy compared with medical chart reviews.

Authors:  Xianglin L Du; Charles R Key; Lois Dickie; Ronald Darling; Jane M Geraci; Dong Zhang
Journal:  Med Care       Date:  2006-02       Impact factor: 2.983

3.  Hospice care and survival among elderly patients with lung cancer.

Authors:  Akiko M Saito; Mary Beth Landrum; Bridget A Neville; John Z Ayanian; Jane C Weeks; Craig C Earle
Journal:  J Palliat Med       Date:  2011-07-18       Impact factor: 2.947

4.  Propensity scores with misclassified treatment assignment: a likelihood-based adjustment.

Authors:  Danielle Braun; Malka Gorfine; Giovanni Parmigiani; Nils D Arvold; Francesca Dominici; Corwin Zigler
Journal:  Biostatistics       Date:  2017-10-01       Impact factor: 5.899

5.  The incidence of herpes zoster in a United States administrative database.

Authors:  Ralph P Insinga; Robbin F Itzler; James M Pellissier; Patricia Saddier; Alexander A Nikas
Journal:  J Gen Intern Med       Date:  2005-08       Impact factor: 5.128

6.  Geographic variations in breast cancer mortality: do higher rates imply elevated incidence or poorer survival?

Authors:  J S Goodwin; J L Freeman; D Freeman; A B Nattinger
Journal:  Am J Public Health       Date:  1998-03       Impact factor: 9.308

Review 7.  HCFA's health care quality improvement program: the medical informatics challenge.

Authors:  J B Grant; R P Hayes; R D Pates; K S Elward; D J Ballard
Journal:  J Am Med Inform Assoc       Date:  1996 Jan-Feb       Impact factor: 4.497

8.  French claims data as a source of information to describe cancer incidence: predictive values of two identification methods of incident prostate cancers.

Authors:  Chantal Marie Couris; Arnaud Seigneurin; Sabiha Bouzbid; Muriel Rabilloud; Paul Perrin; Xavier Martin; Cyrille Colin; Anne-Marie Schott
Journal:  J Med Syst       Date:  2006-12       Impact factor: 4.460

9.  "Pathologic" fractures: should these be included in epidemiologic studies of osteoporotic fractures?

Authors:  J R Curtis; A J Taylor; R S Matthews; M N Ray; D J Becker; L C Gary; M L Kilgore; M A Morrisey; K G Saag; A Warriner; E Delzell
Journal:  Osteoporos Int       Date:  2009-01-29       Impact factor: 4.507

10.  The validity of hospital administrative data in monitoring variations in breast cancer surgery.

Authors:  L H Kahn; J Blustein; R R Arons; R Yee; S Shea
Journal:  Am J Public Health       Date:  1996-02       Impact factor: 9.308

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