Our aim is to develop a method for helping resources re-allocation in healthcare linked to cancer, in order to replain the allocation of providers. Aging of the population has a considerable impact on the use of health resources because aged people require more specialised medical care due notably to cancer. We propose a method useful to monitor changes of cancer incidence in space and time taking into account of age in two group categories, according to healthcare general organisation. We use generalised additive mixed models with a Poisson response, according to the methodology presented in Wood, 2006. Besides one dimensional smooth functions accounting for non-linear effects of covariates, the space-time interaction can be modelled using scale invariant smoothers. Incidence data collected by a general cancer registry between 1992 and 2007 in a specific area of France is studied. A best model exhibits a strong increase of the incidence of cancer along time and an obvious spatial pattern for people more than 70 years with an higher incidence in the central band of the region. This is a strong argument for re-allocating resources for old people cancer care in this sub-region.
Resources allocations in healthcare for cancer: a case study using generalized additive mixed models
MUSIO, MONICA;
2012-01-01
Abstract
Our aim is to develop a method for helping resources re-allocation in healthcare linked to cancer, in order to replain the allocation of providers. Aging of the population has a considerable impact on the use of health resources because aged people require more specialised medical care due notably to cancer. We propose a method useful to monitor changes of cancer incidence in space and time taking into account of age in two group categories, according to healthcare general organisation. We use generalised additive mixed models with a Poisson response, according to the methodology presented in Wood, 2006. Besides one dimensional smooth functions accounting for non-linear effects of covariates, the space-time interaction can be modelled using scale invariant smoothers. Incidence data collected by a general cancer registry between 1992 and 2007 in a specific area of France is studied. A best model exhibits a strong increase of the incidence of cancer along time and an obvious spatial pattern for people more than 70 years with an higher incidence in the central band of the region. This is a strong argument for re-allocating resources for old people cancer care in this sub-region.
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