G. Barosi et al., A model for analysing the cost of autologous peripheral blood progenitor cell (PBPC) transplantation, BONE MAR TR, 23(7), 1999, pp. 719-725
Citations number
20
Categorie Soggetti
Hematology,"Medical Research Diagnosis & Treatment
Data from autologous peripheral blood progenitor cell (PBPC) transplant rec
ipients were used for cost analysis and modelling so as to link the main in
tervention procedures and clinical events to resource use and costs, This c
ohort consisted of 64 patients from 4 to 62 years old at transplantation (m
ean, 36.9 years) who underwent a first transplant between August 1994 and M
ay 1997, The main indications for transplantation were non-Hodgkin's lympho
mas (47%), multiple myeloma (30%) and Hodgkin's lymphomas (15%), The course
of a patient during the whole transplant procedure was modelled using a Ma
rkov chain of six states of health: (I) mobilisation and recovery of PBPC;
(2) post-mobilisation phase; (3) conditioning and transplant; (4) critical
haematological reconstitution; (5) noncritical haematological reconstitutio
n; (6) death. The probability of transition between the different health st
ates, together with the estimated costs, were the input for the Markov mode
l. The model also managed transition probabilities depending both on the cu
rrent health state and on various demographic, clinical and procedure-relat
ed covariates unique to the patient, The expected time spent in each clinic
al state and the expected total cost were, therefore, estimated. This analy
sis gave an actual total cost per transplanted patient of $26 600 (95 % ran
ge: $24 700 to $43 500) while mean duration was 197 days. The expenses for
in-hospital stay accounted for 80% of the costs. Both the probability of st
aying in the different states, and the consequent cost were dependent on th
e number of CD34-positive cells collected, the phase and the type of the di
sease, the subset of patients (either children or adults), and the post-tra
nsplant G-CSF prophylaxis. The sensitivity of the estimates to alternative
assumptions was studied, and the method of comparing alternative future sce
narios by the model was explored.