Optimizing health service location in a highly urbanized city: Multi criteria decision making and P-Median problem models for public hospitals in Jeddah City, KSA.

Rapid urbanization and population growth have increased the need for optimizing the location of health services in highly urbanized countries like Kingdom of Saudi Arabia (KSA). This study employs a multiple-criteria decision making (MCDM) approach, e.g., fuzzy overlay technique by combining the P-Median location-allocation model, for optimizing health services. First, a geodatabase, containing public hospitals, road networks and population districts, was prepared. Next, we investigated the location and services of five public hospitals in Jeddah city of KSA, by using a MCDM model that included a fuzzy overlay technique with a location-allocation model. The results showed that the allocated five hospitals served 94 out of 110 districts in the study area. Our results suggested additional hospitals must be added to ensure that the entire city is covered with timely hospital services. To improve the existing situation, we prioritized demand locations using the maximize coverage (MC) location problem model. We then used the P-Median function to find the optimal locations of hospitals, and then combined these two methods to create the MC-P-Median optimizer. This optimizer eliminated any unallocated or redundant information. Health planners can use this model to determine the best locations for public hospitals in Jeddah city and similar settings.

Modelling geographical heterogeneity of diabetes prevalence and socio-economic and built environment determinants in Saudi City - Jeddah.

Type-2 diabetes is a growing lifestyle disease mainly due to increasing physical inactivity but also associated with various other variables. In Saudi Arabia, around 58.5% of the population is deemed to be physically inactive. Against this background, this study attempts explore the spatial heterogeneity of Type-2 diabetes prevalence in Jeddah and to estimate various socio-economic and built environment variables contributing to the prevalence of this disease based on modelling by ordinary least squares (OLS), weighted regression (GWR) and multi-scale geographically weighted (MGWR). Our OLS results suggest that income, population density, commercial land use and Saudi population characteristics are statistically significant for Type-2 diabetes prevalence. However, by the GWR model, income, commercial land use and Saudi population characteristics were significantly positive while population density was significantly negative in this model for 70.6%, 9.1%, 26.6% and 58.7%, respectively, out of 109 districts investigated; by the MGWR model, the corresponding results were 100%, 22%, 100% and 100% of the districts. With the given data, the corrected Akaike information criterion (AICc), the adjusted R2, the log-likelihood and the residual sum of squares (RSS) indices demonstrated that the MGWR model outperformed the GWR and OLS models explaining 29% more variance than the OLS model, and 10.2% more than the GWR model. These results support the development of evidence-based policies for the spatial allocation of health associated resources for the control of Type-2 diabetes in Jeddah and other cities in the Arabian Gulf.

Using the location-allocation P-median model for optimising locations for health care centres in the city of Jeddah City, Saudi Arabia.

Considering spatial accessibility of health services is a critical part in the planning and management of health services. There is evidence that poor geographical locations can obstruct prompt basic health care services to some population sections. We developed a location-allocation P-median model for health centres after analysing their sites, demand location of health services and the road network in Jeddah, Saudi Arabia. This model attempts to optimize health care services network and to put forward location recommendations to maximise service coverage. Our model is shown to be useful as it provides a robust evidence base to urban planners and policymakers responsible for making spatial decisions for the development of the health sector. Besides, it follows the paradigm of new urbanism that encourages decentralisation of essential facilities including basic healthcare in cities, where emphasis is on offering all basic services within walkable distances of 15 min. or less.

Planning and location of health care services in Jeddah City, Saudi Arabia: Discussion of the constructive use of geographical information systems.

Geographical information systems (GIS) is used for health care planning due to the increasing availability of geo-coded health data that is moving the field towards to health information systems. The aim of this paper is to present GIS applications for planning health services in Jeddah City. The discussion is focused on three major issues: i) identifying the location of health service facilities and their distribution; ii) modelling the level of density needed for health service facilities; and iii) identifying the required levels of accessibility to these health services. The issues covered include GIS, choropleth mapping, kernel density modelling, Euclidean (straight-line) distance and drive-time distance models. These approaches are essential and considered the major spatial decision models required to support health care for decision- makers and planners in Jeddah City, Saudi Arabia.

Creating a GIS application for health services at Jeddah city.

This paper explores the possibilities of using GIS for private hospitals at Jeddah city, Saudi Arabia. A GIS application is created to cover three main health planning issues which are distribution of health demand, classification of hospital patients and the definition of hospital service area. Each one of these issues is covered using several GIS functions including network analysis and overlay analysis. The former is used to produce drive-time hospital service area and the latter is applied at the selected hospital to calculate the size of its served demand. GIS has several useful functions and tools that can be used in health planning field. This paper uses some of these functions for one private hospital. These functions are used to help health planners on evaluating the spatial distribution of hospital demand and for defining hospital service area. All the produced models can be applied on any private or public hospital in Jeddah city. They can be used to build a spatial decision support system for hospitals in Jeddah city.

Using geographical information systems for defining the accessibility to health care facilities in Jeddah City, Saudi Arabia.

Spatial data play an important role in the planning of health care facilities and their allocation. Today, geographical information systems (GIS) provide useful techniques for capturing, maintaining and analysing health care spatial data; indeed health geoinformatics is an emerging discipline that uses innovative geospatial technology to investigate health issues. The purpose of this paper is to define how GIS can be used for assessing the level of accessibility to health care. The paper identifies the advantages of using GIS in health care planning and covers GIS-based international accessibility with a focus on GIS applications for health care facilities in Jeddah city, Saudi Arabia. A geodatabase that includes location of health services, road networks, health care demand and population districts was created using ArcGIS software. The geodatabase produced is based on collected data and covers issues, such as defining the spatial distribution of health care facilities, evaluating health demand types and modelling health service areas based on analysis of driving-time and straight-line distances.

Defining health catchment areas in Jeddah city, Saudi Arabia: an example demonstrating the utility of geographical information systems.

A tool, based on a geographical information system (GIS) approach, has been developed for the location and organization of public health care centers in Jeddah city, Saudi Arabia. The potential of GIS for visualizing and modeling available information on health-care has been utilized to produce a "best-fit application". This paper identifies and deals with the manner in which GIS can successfully be used for evaluating the demand and supply of health care facilities as well as be applied for defining health catchment areas. The study uses the essential achievements gained to analyze the advantages of GIS for health care planning and the location of health care centers. Some specific GIS tools, as well as single and multiple spatial search functions, are presented.

Creating a GIS application for local health care planning in Saudi Arabia.

The purpose of this paper is to show how Geographical Information Systems can be used to support health planners on a micro-scale. The first part of this paper discusses the issue that affect local health care planning which include monitoring of catchment area and facilities management. The second part defines GIS and its possible uses in the health care field. The relevant GIS functions have also been explained. The third part of this paper discusses the created GIS application, which is made for a local health centre in Makkah City, Saudi Arabia. In this application, three sets of GIS models have been produced. These are catchment area, patient profile and patient distribution and patient flows models. The created GIS models are produced to help local health planners in their health care decision output.