Literature DB >> 11091544

Medical Economics and Quality of Life: Analysis of Factors That Influence the Perception of Medical Cost by Post-surgical Breast Cancer Patients.

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Abstract

Recently, the importance of achieving a balance in terms of length of life (LL), quality of life (QOL) and medical costs has been emphasized in the evaluation of cancer treatment, and it is also said that the cost should be seen from the viewpoints of both the society and the patient. Few studies, however, have been performed to investigate how the patients bear the cost and the influence of this factor. Therefore, in the present study we examined the perception of medical care cost (PMC) in 83 non-recurrent post-surgical breast cancer patients. The factors that influence the PMC were analyzed by univariate and multivariate analyses using the variables representing QOL, sociodemographic and clinical characteristics, types of therapy, and various types of medical cost. First, the results of the relationship between the variables and the PMC revealed that the patients with better QOL, especially those with better social category QOL, tended to have a lower PMC. However, no other variable had any significant associations with the PMC. Second, the results of multiple regression analyses revealed that patients with better QOL, especially those with better social category QOL, in the elderly, and/or those with higher level of education tended to show a lower PMC. In conclusion, the results of the present study suggest that, when we consider evaluating the cost of cancer treatment for postsurgical breast cancer patients, we should take into account the patients' QOL, age, and their level of education.

Entities:  

Year:  1995        PMID: 11091544     DOI: 10.1007/BF02966953

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  17 in total

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Authors:  J M Eisenberg
Journal:  JAMA       Date:  1989-11-24       Impact factor: 56.272

2.  The psychological and cosmetic aspects of breast conserving therapy compared with radical mastectomy.

Authors:  M Noguchi; Y Saito; H Nishijima; M Koyanagi; A Nonomura; Y Mizukami; S Nakamura; T Michigishi; N Ohta; H Kitagawa
Journal:  Surg Today       Date:  1993       Impact factor: 2.549

3.  Clinical trials and drug toxicity in the elderly. The experience of the Eastern Cooperative Oncology Group.

Authors:  C B Begg; P P Carbone
Journal:  Cancer       Date:  1983-12-01       Impact factor: 6.860

4.  The European Organization for Research and Treatment of Cancer QLQ-C30: a quality-of-life instrument for use in international clinical trials in oncology.

Authors:  N K Aaronson; S Ahmedzai; B Bergman; M Bullinger; A Cull; N J Duez; A Filiberti; H Flechtner; S B Fleishman; J C de Haes
Journal:  J Natl Cancer Inst       Date:  1993-03-03       Impact factor: 13.506

5.  Psychosocial consequences of cancer chemotherapy for elderly patients.

Authors:  D R Nerenz; R R Love; H Leventhal; D V Easterling
Journal:  Health Serv Res       Date:  1986-02       Impact factor: 3.402

6.  Should the elderly receive chemotherapy for node-negative breast cancer? A cost-effectiveness analysis examining total and active life-expectancy outcomes.

Authors:  C E Desch; B E Hillner; T J Smith; S M Retchin
Journal:  J Clin Oncol       Date:  1993-04       Impact factor: 44.544

7.  Assessing the cost effectiveness of adjuvant therapies in early breast cancer using a decision analysis model.

Authors:  B E Hillner; T J Smith; C E Desch
Journal:  Breast Cancer Res Treat       Date:  1993       Impact factor: 4.872

8.  Analysis of the factors influencing the quality of life of patients with advanced or recurrent breast cancer.

Authors:  K Shimozuma; H Sonoo; K Ichihara
Journal:  Surg Today       Date:  1995       Impact factor: 2.549

9.  The psychosocial impact of cancer on the elderly: a comparison with younger patients.

Authors:  P A Ganz; C C Schag; R L Heinrich
Journal:  J Am Geriatr Soc       Date:  1985-06       Impact factor: 5.562

10.  Should women with node-negative breast cancer receive adjuvant chemotherapy?--Insights from a decision analysis model.

Authors:  B E Hillner; T J Smith
Journal:  Breast Cancer Res Treat       Date:  1992       Impact factor: 4.872

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