Literature DB >> 8611380

Implicit rationing criteria in non-small-cell lung cancer treatment.

K Arndt1, P Coy, J Schaafsma.   

Abstract

Data collected from lung cancer patients attending the Victoria Clinic of the British Columbia Cancer Agency are used to investigate how resources are rationed in the treatment of non-small-cell lung cancer (NSCLC). An ordered logit model is estimated to analyse empirically the relationship between treatment selection and: tumour stage, size and differentiation; the Feinstein index; Karnofsky performance status (KPS); and the patient's age, gender and marital and smoking status. Implicit rationing is found to occur with respect to all of these factors except the Feinstein index, gender and marital status. With respect to age, KPS and smoker status the main empirical results are: (a) an increase in age from 50 to 85 reduces the expected treatment expenditure by 50-70%, depending on the patient's KPS and smoker status; (b) patients with a KPS less than 80 and of 80, receive 30-46% and 75-85%, respectively, of the expected treatment expenditure for patients with a KPS of 90 or 100, depending on age and smoker status; (c) the expected treatment expenditure for active smokers is about 71-86% of the expenditure for non- or former smokers depending on age and KPS.

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Mesh:

Year:  1996        PMID: 8611380      PMCID: PMC2074367          DOI: 10.1038/bjc.1996.136

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


  18 in total

1.  Presenting conditions of 1539 population-based lung cancer patients by cell type and stage in New Hampshire and Vermont.

Authors:  C G Chute; E R Greenberg; J Baron; R Korson; J Baker; J Yates
Journal:  Cancer       Date:  1985-10-15       Impact factor: 6.860

2.  Medical care in the last twelve months of life: the relation between age, functional status, and medical care expenditures.

Authors:  A A Scitovsky
Journal:  Milbank Q       Date:  1988       Impact factor: 4.911

Review 3.  A new international staging system for lung cancer.

Authors:  C F Mountain
Journal:  Chest       Date:  1986-04       Impact factor: 9.410

4.  Health care technology and the inevitability of resource allocation and rationing decisions. Part II.

Authors:  R W Evans
Journal:  JAMA       Date:  1983 Apr 22-29       Impact factor: 56.272

5.  Non-small cell lung cancer: how oncologists want to be treated.

Authors:  W J Mackillop; B O'Sullivan; G K Ward
Journal:  Int J Radiat Oncol Biol Phys       Date:  1987-06       Impact factor: 7.038

6.  The effect of marital status on stage, treatment, and survival of cancer patients.

Authors:  J S Goodwin; W C Hunt; C R Key; J M Samet
Journal:  JAMA       Date:  1987-12-04       Impact factor: 56.272

7.  The feasibility of thoracotomy for lung cancer in the elderly.

Authors:  S Sherman; C E Guidot
Journal:  JAMA       Date:  1987-08-21       Impact factor: 56.272

8.  Social and economic factors in the choice of lung cancer treatment. A population-based study in two rural states.

Authors:  E R Greenberg; C G Chute; T Stukel; J A Baron; D H Freeman; J Yates; R Korson
Journal:  N Engl J Med       Date:  1988-03-10       Impact factor: 91.245

9.  Choice of cancer therapy varies with age of patient.

Authors:  J Samet; W C Hunt; C Key; C G Humble; J S Goodwin
Journal:  JAMA       Date:  1986-06-27       Impact factor: 56.272

10.  Information and decision-making preferences of hospitalized adult cancer patients.

Authors:  C G Blanchard; M S Labrecque; J C Ruckdeschel; E B Blanchard
Journal:  Soc Sci Med       Date:  1988       Impact factor: 4.634

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