Literature DB >> 15061678

Longitudinal versus cross-sectional methodology for estimating the economic burden of breast cancer: a pilot study.

C Daniel Mullins1, Junling Wang, Jesse L Cooke, Lisa Blatt, Claudia R Baquet.   

Abstract

BACKGROUND: Projecting future breast cancer treatment expenditure is critical for budgeting purposes, medical decision making and the allocation of resources in order to maximise the overall impact on health-related outcomes of care. Currently, both longitudinal and cross-sectional methodologies are used to project the economic burden of cancer. This pilot study examined the differences in estimates that were obtained using these two methods, focusing on Maryland, US Medicaid reimbursement data for chemotherapy and prescription drugs for the years 1999-2000.
METHODS: Two different methodologies for projecting life cycles of cancer expenditure were considered. The first examined expenditure according to chronological time (calendar quarter) for all cancer patients in the database in a given quarter. The second examined only the most recent quarter and constructed a hypothetical expenditure life cycle by taking into consideration the number of quarters since the respective patient had her first claim.
RESULTS: We found different average expenditures using the same data and over the same time period. The longitudinal measurement had less extreme peaks and troughs, and yielded average expenditure in the final period that was 60% higher than that produced using the cross-sectional analysis; however, the longitudinal analysis had intermediate periods with significantly lower estimated expenditure than the cross-sectional data.
CONCLUSIONS: These disparate results signify that each of the methods has merit. The longitudinal method tracks changes over time while the cross-sectional approach reflects more recent data, e.g. current practice patterns. Thus, this study reiterates the importance of considering the methodology when projecting future cancer expenditure.

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Year:  2004        PMID: 15061678     DOI: 10.2165/00019053-200422050-00002

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  8 in total

1.  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

2.  Estimating health care costs related to cancer treatment from SEER-Medicare data.

Authors:  Martin L Brown; Gerald F Riley; Nicki Schussler; Ruth Etzioni
Journal:  Med Care       Date:  2002-08       Impact factor: 2.983

3.  Incidence versus prevalence modeling in pharmacoeconomics.

Authors:  Fadia T Shaya; C Daniel Mullins; Winston Wong
Journal:  Expert Rev Pharmacoecon Outcomes Res       Date:  2002-10       Impact factor: 2.217

Review 4.  Using state and federal claims data to evaluate the patterns and costs of cancer care.

Authors:  C E Desch; L T Penberthy
Journal:  Cancer Treat Res       Date:  1998

Review 5.  Cancer economics: on variations in the costs of treating cancer.

Authors:  Thomas N Chirikos
Journal:  Cancer Control       Date:  2002 Jan-Feb       Impact factor: 3.302

6.  The economic cost of illness revisited.

Authors:  B S Cooper; D P Rice
Journal:  Soc Secur Bull       Date:  1976-02

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.  The incidence and economic costs of cancer, motor vehicle injuries, coronary heart disease, and stroke: a comparative analysis.

Authors:  N S Hartunian; C N Smart; M S Thompson
Journal:  Am J Public Health       Date:  1980-12       Impact factor: 9.308

  8 in total

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