en
Scientific article
Review
Open access
English

Use of physical accessibility modelling in diagnostic network optimization: a review

Published inDiagnostics, vol. 12, no. 1, 103
Publication date2022-01-04
First online date2022-01-04
Abstract

Diagnostic networks are complex systems that include both laboratory-tested and community-based diagnostics, as well as a specimen referral system that links health tiers. Since diagnostics are the first step before accessing appropriate care, diagnostic network optimization (DNO) is crucial to improving the overall healthcare system. The aim of our review was to understand whether the field of DNO, and especially route optimization, has benefited from the recent advances in geospatial modeling, and notably physical accessibility modeling, that have been used in numerous health systems assessment and strengthening studies. All publications published in English between the journal's inception and 12 August 2021 that dealt with DNO, geographical accessibility and optimization, were systematically searched for in Web of Science and PubMed, this search was complemented by a snowball search. Studies from any country were considered. Seven relevant publications were selected and charted, with a variety of geospatial approaches used for optimization. This paucity of publications calls for exploring the linkage of DNO procedures with realistic accessibility modeling framework. The potential benefits could be notably better-informed travel times of either the specimens or population, better estimates of the demand for diagnostics through realistic population catchments, and innovative ways of considering disease epidemiology to inform DNO.

eng
Keywords
  • Diagnostic network optimization
  • Physical accessibility
  • Referral system
Citation (ISO format)
CHENES, Camille Janique Cécile et al. Use of physical accessibility modelling in diagnostic network optimization: a review. In: Diagnostics, 2022, vol. 12, n° 1, p. 103. doi: 10.3390/diagnostics12010103
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Article (Published version)
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Identifiers
ISSN of the journal2075-4418
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Technical informations

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