Abstract

BackgroundIn many countries, financial assistance is awarded to physicians who settle in an area that is designated as a shortage area to prevent unequal accessibility to primary health care. Today, however, policy makers use fairly simple methods to define health care accessibility, with physician-to-population ratios (PPRs) within predefined administrative boundaries being overwhelmingly favoured. Our purpose is to verify whether these simple methods are accurate enough for adequately designating medical shortage areas and explore how these perform relative to more advanced GIS-based methods.MethodsUsing a geographical information system (GIS), we conduct a nation-wide study of accessibility to primary care physicians in Belgium using four different methods: PPR, distance to closest physician, cumulative opportunity, and floating catchment area (FCA) methods.ResultsThe official method used by policy makers in Belgium (calculating PPR per physician zone) offers only a crude representation of health care accessibility, especially because large contiguous areas (physician zones) are considered. We found substantial differences in the number and spatial distribution of medical shortage areas when applying different methods.ConclusionsThe assessment of spatial health care accessibility and concomitant policy initiatives are affected by and dependent on the methodology used. The major disadvantage of PPR methods is its aggregated approach, masking subtle local variations. Some simple GIS methods overcome this issue, but have limitations in terms of conceptualisation of physician interaction and distance decay. Conceptually, the enhanced 2-step floating catchment area (E2SFCA) method, an advanced FCA method, was found to be most appropriate for supporting areal health care policies, since this method is able to calculate accessibility at a small scale (e.g. census tracts), takes interaction between physicians into account, and considers distance decay. While at present in health care research methodological differences and modifiable areal unit problems have remained largely overlooked, this manuscript shows that these aspects have a significant influence on the insights obtained. Hence, it is important for policy makers to ascertain to what extent their policy evaluations hold under different scales of analysis and when different methods are used.

Highlights

  • Primary health care is the first line of defence for a population and can prevent or reduce unnecessary, expensive speciality care [1,2,3]

  • In Belgium, the Rijksinstituut voor Ziekte- en Invaliditeitsverzekering (RIZIV; ‘National Institute for Disease and Invalidity Insurance’) has an incentive program, called Impulseo I, which awards 20,000 euros to physicians who settle in a physician zone with a low physician-to-population ratio – that is, less than 90 physicians/100,000 inhabitants, or both less than 120 physicians/100,000 inhabitants and less than 125 inhabitants/km2 [5]

  • Spatial accessibility is based on spatial factors, including the distribution of primary health care providers and population, and the distance/time between supply and demand [13]

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Summary

Introduction

Primary health care is the first line of defence for a population and can prevent or reduce unnecessary, expensive speciality care [1,2,3]. Financial assistance is awarded to physicians who settle in an area that is designated as a shortage area to prevent unequal accessibility to primary health care. Health care accessibility can be classified into two categories: revealed accessibility and potential accessibility [10,11,12] The former deals with the actual use of health care services, while the latter focuses on the aggregated supply of available health care in an area and the potential use of services. Both can be further subdivided into spatial and non-spatial accessibility. We will focus on potential spatial accessibility ( briefly referred to as accessibility)

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