Abstract

Background: This manuscript aimed to map the spatial distributions of health clinics for public and private sectors in Malaysia. It would assist the stakeholders and responsible authorities in the planning for health service delivery. Methods: Data related to health clinic were gathered from stakeholders. The location of health facilities was geo-coded using a Global Positioning System (GPS) handheld. The average nearest neighbour was used to identify whether health clinics were spatially clustered or dispersed. Hot spot analysis was used to assess high density of health clinics to population ratio and average distance of health clinics distribution. A Geographically Weighted Regression (GWR) was used to analyse the requirement of health clinic in a sub-district based on population density and number of health clinics with significant level (p

Highlights

  • Information on the location of health clinics and their distribution is required to enhance optimisation of effectiveness, reduce costs and resources utilization among service providers

  • This study identified that public health clinics within the sub-districts were spatially dispersed (Figure 2), while private health clinics were spatially clustered (Figure 3)

  • The private clinics gave a small z-score, which indicated that there was less than 1% likelihood that this clustered pattern could be the result of random chance

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Summary

Introduction

Information on the location of health clinics and their distribution is required to enhance optimisation of effectiveness, reduce costs and resources utilization among service providers. The health clinic is the prominent provider of primary health care, recognised for its role in maintaining population health at relatively low cost, more delivered than specialty care and most efficient in preventing disease progression on a large scale [3]. This manuscript aimed to map the spatial distributions of health clinics for public and private sectors in Malaysia. It would assist the stakeholders and responsible authorities in the planning for health service delivery. The information can assist stakeholder and responsible authorities in planning health service delivery

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