dc.description.abstract |
Abstract
Background: There are numerous patients that are su ering with cancer disease in
Ethiopia. However, as far as our knowledge concerned there was no any study that have been
conducted to determine the factors and that account the spatial e ect even if Ethiopia has
diversi ed geographical areas and variations due to various contributing factors for cancer
disease particularly in West Amhara, Ethiopia and hence, this study also evaluated the
spatial e ect on the cancer disease in addition to other common factors using a data obtained
from FHRH.
Objectives: The main objective of this study is to assess the distribution of cancer
disease risk by taking into account the spatial e ect in terms of district and explore whether
there is spatial autocorrelation of incidence of cancer disease between districts. It was also
aimed to determine the e ects of some common clinical patients characteristics, complications
of cancer disease and prognostic factor on current patient status, and hence, nally predict
the patient status.
Methods: The study was evaluated based on di erent statistical model such as intercept
only logistic regression model, spatial ordinal logistic regression model and spatial mixed
ordinal logistic regression. In the meantime, a model with good t of the data was identi ed
by comparing goodness of t of the model using AIC and BIC. Of those models spatial
mixed ordinal logistic regression model was relatively best model that manifest the data in
the study, and hence, the e ect of patients characteristics including the spatial e ect on the
patients status were estimated using spatial mixed OLR model.
Results: In the exploratory data analysis to determine the incidence of cancer disease
within each district the population at risk was standardized into same 100,000 population.
Of patients included in the study and who have been taken treatment only 1.45% cured
and 46.02% improved while the rest are no change and even worse status after they getting
treatment. It was found that most of patients (104 cases, 25.06% of the total) present
at hospital with high stage (IV) of cancer tumor. Conclusion: Patients without anemia
complication at diagnosis was more likely to fall in the lower patient status category than
patients with anemia complication during diagnosis. There was negative spatial e ect on the
incidence of cancer indicates that districts with higher cancer incidence usually surrounded
by districts with lower incidence. Prognostic factor (stage and grade of cancer tumor),
complication of cancer disease such as anemia during diagnosis and treatment of patients
given in the hospital had signi cant e ect on the patient status.
Keywords: Incidence of cancer, Patient Status, Spatial (Mixed) OLR |
en_US |