Abstract
The aim of the study is to present the usefulness of Geographic Information Systems (GIS) to explore the socio-economic indicators that affect the health level of the elderly. The study uses a specially designed questionnaire to capture data on socio-economic indicators of the elderly in Grece. The results of the survey are plotted in the corresponding geographical locations on the maps, using GIS in a way that provides the person concerned a full picture of the geographical distribution of socio-economic indicators that affect the health level of the elderly. The study finds that there is an obvious proportional relationship between Sense of Quality of Life with healthier characteristics, a less proportional relationship with financial characteristics and even a less proportional relationship with the age and the education level of the respondents. The study has implications for health sector professionals and policy makers in Greece.
Highlights
IntroductionThe work of healthcare professionals has become increasingly effective due to the use of Information and Communication Technology services
The public health sector is a complex and controversial area
The main objectives of the survey are to record the current elderly profile, explore the perception of the elderly about the impact of the economic crisis on their health status and lifestyle, assess the factors that shape the quality of life of the elderly, the degree of correlation of the socio-economic indicators with the quality of life of the elderly in research and the investigation of the differentiation of the degree of correlation of the socio-economic indicators with the quality of life of the elderly
Summary
The work of healthcare professionals has become increasingly effective due to the use of Information and Communication Technology services. There are many problems and challenges in relation to the public health sector. The use of Geographic Information Systems (GIS) and the spatial representation of various health issues help health professionals to provide better public health services and make better decisions (Fradelos et al, 2014). GIS are increasingly recognized as an important instrument for the management of health data, for mapping of health indicators, for distribution of disease impacts and analysis and for finding the location of health facilities and services (Garner et al, 1993). Researchers today use modern GIS systems and other mapping applications to address various health problems. Forecasting as well as simulation models rely on these systems (Taylor et al, 2013)
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