Literature DB >> 11775669

Constructs of burden of illness in older patients with breast cancer: a comparison of measurement methods.

J S Mandelblatt1, A S Bierman, K Gold, Y Zhang, J H Ng, N Maserejian, N Maserejan, Y T Hwang, N J Meropol, J Hadley, R A Silliman.   

Abstract

OBJECTIVE: The burden of illness can influence treatment decisions, but there are limited data comparing the performance of different illness burden measures. We assessed the correlations between five previously validated measures of illness burden and global health and physical function and evaluated how each measure correlates with breast cancer treatment patterns in older women. DATA SOURCE: A cohort of 718 women > 67 years with early-stage breast cancer formed the study group. STUDY DESIGN/DATA COLLECTION
METHODS: The study made a cross-sectional comparison of illness burden measures (Charlson index, Index of Co-existent Diseases, cardiopulmonary burden of illness, patient-specific life expectancy, and disease counts) and physical function and self-rated global health status. Data were collected from records and patient interviews. PRINCIPAL
FINDINGS: All of the measures were significantly correlated with each other and with physical function and self-rated health (p < .001). After controlling for age and stage, life expectancy had the largest effect on surgical treatment, followed by self-rated physical function and health; life expectancy was also independent of physical function. For instance, women with higher life expectancy and better self-rated physical function and health were more likely to receive breast conservation and radiation than sicker women. Women with higher physical functioning were more likely to receive adjuvant chemotherapy than women with lower functioning.
CONCLUSIONS: Several measures of illness burden were associated with breast cancer therapy, but each measure accounted for only a small amount of variance in treatment patterns. Future work is needed to develop and validate measures of burden of illness that are feasible, comprehensive, and relevant for diverse clinical and health services objectives.

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Mesh:

Year:  2001        PMID: 11775669      PMCID: PMC1089280     

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  54 in total

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4.  Reanalysis and results after 12 years of follow-up in a randomized clinical trial comparing total mastectomy with lumpectomy with or without irradiation in the treatment of breast cancer.

Authors:  B Fisher; S Anderson; C K Redmond; N Wolmark; D L Wickerham; W M Cronin
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5.  The impact of co-morbidity on life expectancy among men with localized prostate cancer.

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6.  The effect of age and comorbidity in the treatment of elderly women with nonmetastatic breast cancer.

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Authors:  C E Desch; L Penberthy; C J Newschaffer; B E Hillner; M Whittemore; D McClish; T J Smith; S M Retchin
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8.  Factors associated with surgical and radiation therapy for early stage breast cancer in older women.

Authors:  R Ballard-Barbash; A L Potosky; L C Harlan; S G Nayfield; L G Kessler
Journal:  J Natl Cancer Inst       Date:  1996-06-05       Impact factor: 13.506

9.  Comorbidity-adjusted complication risk: a new outcome quality measure.

Authors:  D J Brailer; E Kroch; M V Pauly; J Huang
Journal:  Med Care       Date:  1996-05       Impact factor: 2.983

10.  Stage, age, comorbidity, and direct costs of colon, prostate, and breast cancer care.

Authors:  S H Taplin; W Barlow; N Urban; M T Mandelson; D J Timlin; L Ichikawa; P Nefcy
Journal:  J Natl Cancer Inst       Date:  1995-03-15       Impact factor: 13.506

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Review 2.  Methodology, design, and analytic techniques to address measurement of comorbid disease.

Authors:  Timothy L Lash; Vincent Mor; Darryl Wieland; Luigi Ferrucci; William Satariano; Rebecca A Silliman
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3.  Quality by any other name?: a comparison of three profiling systems for assessing health care quality.

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4.  Comprehensive geriatric assessment in the older cancer patient: coming of age in clinical cancer care.

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Review 5.  Health disparities between women with and without disabilities: a review of the research.

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6.  Association of patient-centered outcomes with patient-reported and ICD-9-based morbidity measures.

Authors:  Elizabeth A Bayliss; Jennifer L Ellis; Jo Ann Shoup; Chan Zeng; Deanna B McQuillan; John F Steiner
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7.  Frailty and adherence to adjuvant hormonal therapy in older women with breast cancer: CALGB protocol 369901.

Authors:  Vanessa B Sheppard; Leigh Anne Faul; George Luta; Jonathan D Clapp; Rachel L Yung; Judy Huei-Yu Wang; Gretchen Kimmick; Claudine Isaacs; Michelle Tallarico; William T Barry; Brandelyn N Pitcher; Clifford Hudis; Eric P Winer; Harvey J Cohen; Hyman B Muss; Arti Hurria; Jeanne S Mandelblatt
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8.  Subjective assessments of comorbidity correlate with quality of life health outcomes: initial validation of a comorbidity assessment instrument.

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Review 10.  Outcomes and quality of life following breast cancer treatment in older women: when, why, how much, and what do women want?

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Journal:  Health Qual Life Outcomes       Date:  2003-09-17       Impact factor: 3.186

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