Overcoming potential pitfalls in the use of Medicare data for epidemiologic research.

Fisher, Elliot S.; Baron, John A.; Malenka, David J.; Barrett, Jane; Bubolz, Thomas A.

doi:10.2105/ajph.80.12.1487

Cited by 142 publications

(63 citation statements)

References 12 publications

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“…By using an administrative database, we find inherent and well known shortcomings [10,11]. The main shortcomings are related to the little and not very specific clinic information contained, especially as regards to the treatments given to the patient, patient´s precedents and risk factors.…”

Section: Discussionmentioning

confidence: 99%

Breast cancer mortality in Spain: Has it really declined for all age groups?

et al. 2012

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Introduction: Incidence in Spain due to breast cancer has increased over the last few years, nevertheless mortality has decreased, especially since 1992. Despite this general decrease in mortality, the intensity has been different in all age groups. The main objective of this paper is to fit the mortality due to breast cancer for different age groups in Spain during Results: We found an evident decreasing trend during the last few years of the fit (1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008), furthermore we expect a decrease in the mortality due to breast cancer during the years of the forecast. Despite this decrease, the mortality rates have different intensities for each age group. Younger and central ages groups can notice an evident decreasing trend and extend it to forecast, on the other hand, for older age groups the trend in mortality seems to be stable.

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Section: Discussionmentioning

confidence: 99%

Breast cancer mortality in Spain: Has it really declined for all age groups?

et al. 2012

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“…This limits the generalizability of the findings obtained from this database. It does not contain information on patients with healthcare managed organization (HMO) insurance, private insurance or the uninsured, thereby further limiting the generalizability of studies utilizing this database (22). Additionally, it only contains information extracted from billable events; unbilled procedures may not be captured.…”

Section: Centers For Medicare and Medicaid Services (Cms) Medicare Damentioning

confidence: 99%

Surgical research using national databases

2016

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Recent changes in healthcare and advances in technology have increased the use of large-volume national databases in surgical research. These databases have been used to develop perioperative risk stratification tools, assess postoperative complications, calculate costs, and investigate numerous other topics across multiple surgical specialties. The results of these studies contain variable information but are subject to unique limitations.The use of large-volume national databases is increasing in popularity, and thorough understanding of these databases will allow for a more sophisticated and better educated interpretation of studies that utilize such databases. This review will highlight the composition, strengths, and weaknesses of commonly used national databases in surgical research.

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“…Such records are highly complete and accurate and have been used for epidemiological and other research (Fisher et al, 1990;Mitchell et al, 1994;Christakis and Allison, 2006); the coverage of the Medicare programme encompasses 35 million beneficiaries (Landon et al, 2004). For every hospital visit, up to 10 disease diagnoses are recorded in the International Classification of Diseases version 9 with Clinical Modification (ICD-9-CM) format.…”

Section: Clinical Datamentioning

confidence: 99%

Cancer metastasis networks and the prediction of progression patterns

et al. 2009

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BACKGROUND: Metastasis patterns in cancer vary both spatially and temporally. Network modelling may allow the incorporation of the temporal dimension in the analysis of these patterns. METHODS: We used Medicare claims of 2 265 167 elderly patients aged X65 years to study the large-scale clinical pattern of metastases. We introduce the concept of a cancer metastasis network, in which nodes represent the primary cancer site and the sites of subsequent metastases, connected by links that measure the strength of co-occurrence. RESULTS: These cancer metastasis networks capture both temporal and subtle relational information, the dynamics of which differ between cancer types. Using these networks as entities on which the metastatic disease of individual patients may evolve, we show that they may be used, for certain cancer types, to make retrograde predictions of a primary cancer type given a sequence of metastases, as well as anterograde predictions of future sites of metastasis. CONCLUSION: Improvements over traditional techniques show that such a network-based modelling approach may be suitable for studying metastasis patterns.

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Overcoming potential pitfalls in the use of Medicare data for epidemiologic research.

Cited by 142 publications

References 12 publications

Breast cancer mortality in Spain: Has it really declined for all age groups?

Breast cancer mortality in Spain: Has it really declined for all age groups?

Surgical research using national databases

Cancer metastasis networks and the prediction of progression patterns

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