Abstract

BackgroundPopulation health planning aims to improve the health of the entire population and to reduce health inequities among population groups. Socioeconomic factors are increasingly being recognized as major determinants of many aspects of health and causes of health inequities. Knowledge of socioeconomic characteristics of neighbourhoods is necessary to identify their unique health needs and enhance identification of socioeconomically disadvantaged populations. Careful integration of this knowledge into health planning activities is necessary to ensure that health planning and service provision are tailored to unique neighbourhood population health needs. In this study, we identify unique neighbourhood socioeconomic characteristics and classify the neighbourhoods based on these characteristics. Principal components analysis (PCA) of 18 socioeconomic variables was used to identify the principal components explaining most of the variation in socioeconomic characteristics across the neighbourhoods. Cluster analysis was used to classify neighbourhoods based on their socioeconomic characteristics.ResultsResults of the PCA and cluster analysis were similar but the latter were more objective and easier to interpret. Five neighbourhood types with distinguishing socioeconomic and demographic characteristics were identified. The methodology provides a more complete picture of the neighbourhood socioeconomic characteristics than when a single variable (e.g. income) is used to classify neighbourhoods.ConclusionCluster analysis is useful for generating neighbourhood population socioeconomic and demographic characteristics that can be useful in guiding neighbourhood health planning and service provision. This study is the first of a series of studies designed to investigate health inequalities at the neighbourhood level with a view to providing evidence-base for health planners, service providers and policy makers to help address health inequity issues at the neighbourhood level. Subsequent studies will investigate inequalities in health outcomes both within and across the neighbourhood types identified in the current study.

Highlights

  • Population health planning aims to improve the health of the entire population and to reduce health inequities among population groups

  • Traditional health planning has typically focused on the practice and delivery of health care services

  • The health of a population is influenced by several factors including but not limited to socioeconomic status [2], social support networks [3] education [4], ethnicity [5], employment [6], working conditions [7,8,9,10], physical environment [11], personal health behaviours [12,13], health care services [14] and individual coping skills [15,16]

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Summary

Introduction

Population health planning aims to improve the health of the entire population and to reduce health inequities among population groups. Knowledge of socioeconomic characteristics of neighbourhoods is necessary to identify their unique health needs and enhance identification of socioeconomically disadvantaged populations. Since socioeconomic and demographic characteristics are important determinants of population health, adopting a population health approach to health planning at the neighbourhood level requires improved knowledge of the distribution of population socioeconomic and demographic characteristics at this level. There is an increasing interest in understanding the relationship between neighbourhood of residence and health of the population [17,18,19] To this end, some researchers have suggested that improving the health of those living in the worst areas calls for systematically exploring area differences to inform social and health policy [20]

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