Measuring geographical accessibility to palliative and end of life (PEoLC) related facilities: a comparative study in an area with well-developed specialist palliative care (SPC) provision

Geographical accessibility is important in accessing healthcare services. Measuring it has evolved alongside technological and data analysis advances. High correlations between different methods have been detected, but no comparisons exist in the context of palliative and end of life care (PEoLC) st...

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Published in:BMC palliative care 2017-01, Vol.16 (1), p.14-14, Article 14
Main Authors: Pearson, Clare, Verne, Julia, Wells, Claudia, Polato, Giovanna M, Higginson, Irene J, Gao, Wei
Format: Article
Language:English
Subjects:
Adult
Aged
Aged, 80 and over
Chronic Disease - mortality
Chronic Disease - therapy
Female
Health Services Accessibility - statistics & numerical data
Hospice care
Humans
London - epidemiology
Male
Middle Aged
Palliative care
Palliative Care - statistics & numerical data
Residence Characteristics - statistics & numerical data
Terminal Care - statistics & numerical data
Travel
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creator Pearson, Clare
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description Geographical accessibility is important in accessing healthcare services. Measuring it has evolved alongside technological and data analysis advances. High correlations between different methods have been detected, but no comparisons exist in the context of palliative and end of life care (PEoLC) studies. To assess how geographical accessibility can affect PEoLC, selection of an appropriate method to capture it is crucial. We therefore aimed to compare methods of measuring geographical accessibility of decedents to PEoLC-related facilities in South London, an area with well-developed SPC provision. Individual-level death registration data in 2012 (n = 18,165), from the Office for National Statistics (ONS) were linked to area-level PEoLC-related facilities from various sources. Simple and more complex measures of geographical accessibility were calculated using the residential postcodes of the decedents and postcodes of the nearest hospital, care home and hospice. Distance measures (straight-line, travel network) and travel times along the road network were compared using geographic information system (GIS) mapping and correlation analysis (Spearman rho). Borough-level maps demonstrate similarities in geographical accessibility measures. Strong positive correlation exist between straight-line and travel distances to the nearest hospital (rho = 0.97), care home (rho = 0.94) and hospice (rho = 0.99). Travel times were also highly correlated with distance measures to the nearest hospital (rho range = 0.84-0.88), care home (rho = 0.88-0.95) and hospice (rho = 0.93-0.95). All correlations were significant at p 
doi_str_mv 10.1186/s12904-017-0185-0
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Distance measures (straight-line, travel network) and travel times along the road network were compared using geographic information system (GIS) mapping and correlation analysis (Spearman rho). Borough-level maps demonstrate similarities in geographical accessibility measures. Strong positive correlation exist between straight-line and travel distances to the nearest hospital (rho = 0.97), care home (rho = 0.94) and hospice (rho = 0.99). Travel times were also highly correlated with distance measures to the nearest hospital (rho range = 0.84-0.88), care home (rho = 0.88-0.95) and hospice (rho = 0.93-0.95). All correlations were significant at p &lt; 0.001 level. 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Distance measures (straight-line, travel network) and travel times along the road network were compared using geographic information system (GIS) mapping and correlation analysis (Spearman rho). Borough-level maps demonstrate similarities in geographical accessibility measures. Strong positive correlation exist between straight-line and travel distances to the nearest hospital (rho = 0.97), care home (rho = 0.94) and hospice (rho = 0.99). Travel times were also highly correlated with distance measures to the nearest hospital (rho range = 0.84-0.88), care home (rho = 0.88-0.95) and hospice (rho = 0.93-0.95). All correlations were significant at p &lt; 0.001 level. 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subjects Adult
Aged
Aged, 80 and over
Chronic Disease - mortality
Chronic Disease - therapy
Female
Health Services Accessibility - statistics & numerical data
Hospice care
Humans
London - epidemiology
Male
Middle Aged
Palliative care
Palliative Care - statistics & numerical data
Residence Characteristics - statistics & numerical data
Terminal Care - statistics & numerical data
Travel
title Measuring geographical accessibility to palliative and end of life (PEoLC) related facilities: a comparative study in an area with well-developed specialist palliative care (SPC) provision
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