Investigating geospatial data usability from a health geography perspective using sensitivity analysis: The example of potential accessibility to primary healthcare

Frew, Robin; Higgs, Gary; Harding, Jenny; Langford, Mitchel

doi:10.1016/j.jth.2017.03.013

Cited by 18 publications

(11 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ordnance Survey Open Roads was used to model the road network distance from home to leisure centre intervention site. The dataset is an open data source which is good for defining travel by motor vehicle (49). Network distance was calculated using ArcGIS Origin-Destination (OD) Cost Matrix tools using the Network Analysis extension with home sector postcode as origin and full postcode of LLGA facility as destination.…”

Section: Proximitymentioning

confidence: 99%

Investigating the environmental, behavioural, and sociodemographic determinants of attendance at a city-wide public health physical activity intervention: Longitudinal evidence over one year from 185,245 visits

Hobbs

Moltchanova

Wicks

et al. 2021

Preventive Medicine

View full text Add to dashboard Cite

show abstract

Section: Proximitymentioning

confidence: 99%

Investigating the environmental, behavioural, and sociodemographic determinants of attendance at a city-wide public health physical activity intervention: Longitudinal evidence over one year from 185,245 visits

Hobbs

Moltchanova

Wicks

et al. 2021

Preventive Medicine

View full text Add to dashboard Cite

show abstract

“…Using the USWFCA ArcGIS Add-In tool the accessibility scores for spatial access to mental health services are calculated for eight separate scenarios, the tool calculates Enhanced Two-Step Floating Catchment Area (E2SFCA) accessibility metrics based on user controlled input parameters and datasets. This tool has been successfully used by Frew et al (2017) in measuring potential accessibility to primary health care. The tool takes as input a service supply data set representing the location of mental health service providers with a field selected to indicate the number of physicians or services at each location, the second input is a service demand data set representing the location of populations accessing services which are represented by DA centroids, the tool then takes as input a GIS network data set representing the travel pathways between points of service demand and supply, the user also indicates the travel distance in meters and selects a distance-decay function.…”

Section: Calculating Accessibilitymentioning

confidence: 99%

Spatial accessibility to mental health care in the City of Toronto

Ariwi¹

2021

Preprint

View full text Add to dashboard Cite

Mental illness refers to a wide range of disorders that affect mood, thinking and behaviour. One in five Canadians has mental health care needs, many of which are unmet (Smetanin et al., 2015). Within the City of Toronto, the provision of mental health care is delivered by over 100 public and private community service organisations and over 700 physicians with a psychiatric specialization - each providing community-based general or specialised care to residents in need. Research has shown that travel distance is an enabling factor of health service utilisation, thus equitable spatial access to services remains a key priority (Fleury et al., 2012). Using spatial quantitative methods, this study examines potential spatial accessibility to mental health services and specialist physicians within the City of Toronto, and levels of statistical association between access to care and prevalence of mental health crisis events. A wide range of datasets is analyzed including occurrence data for apprehensions under the Mental Health Act undertaken by the Toronto Police Service and the Canadian Marginalization Index. The enhanced two-step floating catchment area (E2SFCA) method is used to compute spatial accessibility to mental health services based four modes of transportation: driving, walking, cycling and public transit. Areas that are underserved by mental health specialists and mental health community services are identified and shown to have different income levels. This study provides spatial explicit patterns of accessibility to mental health services in Toronto, providing detailed data to inform planning and policy of mental health care delivery.

show abstract

“…Spatial accessibility denotes an explicit geographic focus. Broadly, spatial accessibility measures can be categorised into four major groups, namely (1) proximity ; (2) regional availability; (3) gravity models; and (4) floating catchment analysis (Hansen 1959;Ingram 1971;Vickerman 1974;Nutley 1980;Bruinsma & Rietveld 1998;Bhat et al 2000;Guagliardo 2004;Luo 2004;Bagheri et al 2006;Langford & Higgs 2006;Scheurer & Curtis 2007;McGrail & Humphreys 2009;Curtis & Scheurer 2010;Luo & Whippo 2012;Lee 2014;Higgs et al 2015;Dony et al 2015;Langford et al 2016;Higgs et al 2017;Frew et al 2017). Table 1 presents a brief overview of all four measures.…”

Section: Measuring Spatial Accessibilitymentioning

confidence: 99%

Measuring the spatial accessibility to fire stations using enhanced floating catchment method

Corcoran

Chhetri

2020

Socio-Economic Planning Sciences

View full text Add to dashboard Cite

Enhancing the spatial accessibility of population to fire services is a key strategy to help improve emergency response, minimise property loss, and reduce injuries and deaths. Given its significance for fire service policy and strategic planning, we draw on small area population forecasts, fire station locations and the road network, and employ the enhanced two-step floating catchment method to compute the levels of spatial accessibility of population to fire services in relation to current and future population growth in Brisbane, Australia. Results show that lower levels of spatial accessibility to fire services exist in the most populated areas compared to those that are least populated. Further, we reveal that some areas are more likely to suffer a reduction in spatial accessibility than others. Spatial accessibility of population to fire services over the period to 2036 is likely to reduce as a consequence of rising demand for service. The identification of locales that experience lower levels of accessibility to fire services will enable fire services agencies to strategically plan infrastructure investment and help enhance the operational efficiency of emergency response.

show abstract

Investigating geospatial data usability from a health geography perspective using sensitivity analysis: The example of potential accessibility to primary healthcare

Cited by 18 publications

References 25 publications

Investigating the environmental, behavioural, and sociodemographic determinants of attendance at a city-wide public health physical activity intervention: Longitudinal evidence over one year from 185,245 visits

Investigating the environmental, behavioural, and sociodemographic determinants of attendance at a city-wide public health physical activity intervention: Longitudinal evidence over one year from 185,245 visits

Spatial accessibility to mental health care in the City of Toronto

Measuring the spatial accessibility to fire stations using enhanced floating catchment method

Contact Info

Product

Resources

About