A Literature Review of the Use of GIS-Based Measures of Access to Health Care Services

Higgs, Gary

doi:10.1007/s10742-005-4304-7

Cited by 243 publications

(197 citation statements)

References 89 publications

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“…When available, up to 6 months of prestudy entry date data were collected. A catchment area for each site defined local cases within a proximal distribution for prevalence estimates based on: (i) mapping patient residential ZIP (postal) codes with a geographical application (ARCMap; Esri, Redlands, CA, USA), (ii) consulting with the site Principal Investigator and (iii) examining case distribution with a 4-h driving distance cut-off point (McLafferty, 2003;Higgs, 2004;Schuurman et al, 2006;Cinnamon et al, 2008). Prevalence denominators were based on postal (ZIP) codes mapped to 2007 US census blocks to estimate the relevant reference population.…”

Section: Methodsmentioning

confidence: 99%

Clinical epidemiology and treatment patterns of patients with multicentric Castleman disease: results from two US treatment centres

et al. 2014

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SummaryMulticentric Castleman disease (MCD) is a rare lymphoproliferative disease with little known about its epidemiology or treatment modalities. Clinical and demographic data of MCD patients identified between 2000 and 2009 were collected from medical records at two United States (US) MCD referral centres. ZIP codes identified patient residences; prevalence and incidence were estimated based on catchment areas. Patient clinical, demographic, and biochemical characteristics, drug therapies and medical utilization were descriptively reported. MCD patients (n = 59) were 61% male, mean age of 53 years (median = 55 years) and 68% Caucasian. Of those with known human immunodeficiency virus (HIV) status (n = 41), 85% (n = 35) were negative, 15% (n = 6) were positive. Most frequent physician-reported symptoms (n = 33) were fatigue (49%, n = 16), fever (39%, n = 13), and night sweats (30%, n = 10). The estimated US 10-year prevalence was 2Á4 per million. During first year of follow-up after study entry, the top two systemic therapies (n = 27) were monotherapies: prednisone (33%, n = 9) and rituximab (19%, n = 5). After a follow-up of 2 years, 92% of patients were alive. This study provides new information on MCD population demographics, treatment patterns, and medical utilization; a minimal US period prevalence rate is proposed. Study replication is needed to improve external validity.

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Section: Methodsmentioning

confidence: 99%

Clinical epidemiology and treatment patterns of patients with multicentric Castleman disease: results from two US treatment centres

et al. 2014

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“…Local populations with relational databases have allowed managers and planners of health and social services to use GIS to better run their services (13). In the absence of detailed locational data for individuals accessing health services, as in the case of Bandar Abbas, population demand is usually summarized at the population-weighted or, more commonly, Geographic Centroids (GC) of such areas (21). Pre-defined stations considered here as patient's locations referred as the GC (Figure 1).…”

Section: Locating the Geographic Centroids (Gc)mentioning

confidence: 99%

Measuring access to urban health services using Geographical Information System (GIS): a case study of health service management in Bandar Abbas, Iran

Masoodi

Rahimzadeh

2015

Int J Health Policy Manag

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Background: The current distribution of and access to health services along with the future health needs of the population have prompted wide application of Geographic Information Systems (GISs). During recent years, GIS has been used in public health management for planning and organization of healthcare services. This study investigates geographical accessibility of residential areas in Bandar Abbas, Iran to healthcare services. Methods: Accessibility was evaluated by using Floating Catchment Area (FCA), minimum distance methods and Response Time (RT) accessibility technique. Results: More accurate measures of distances in Bandar Abbas, illustrated that Euclidean distances were not strongly correlated with network distances. The RT accessibility technique that utilizes shortest network path and time distances, presented detailed information about all the possible positions of the patients with respect to available healthcare services based on optimum and critical response times. Conclusion: Locations of public health services in Bandar Abbas were not related to the sites of populations. The RT accessibility technique provides a reasonably sensitive and robust evaluation of accessibility. Keywords: Health Services Accessibility, Spatial Analysis, Geographic Information System (GIS), Response Time (RT) Accessibility Technique, Bandar Abbas Copyright: © 2015 by Kerman University of Medical Sciences Citation: Masoodi M, Rahimzadeh M. Measuring access to urban health services using Geographical Information System (GIS): a case study of health service management in

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“…The travel time required for an individual to reach a treatment center provides a quantitative measure of access 15 . However, an individual's access to a health service may also be measured as the 'degree of fit' between that individual and the health system with which they are interfacing 16 .…”

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confidence: 99%

Socioeconomic disparities in head and neck cancer patients’ access to cancer treatment centers

Walker

Schuurman

Auluck³

et al. 2017

Rural Remote Health

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Introduction: Both socioeconomic status and travel time to cancer treatment have been associated with treatment choice and patient outcomes. An improved understanding of the relationship between these two dimensions of access may enable cancer control experts to better target patients with poor access, particularly in isolated suburban and rural communities. Methods: Using geographical information systems, head and neck cancer patients across British Columbia, Canada from 1981 to 2009, were mapped and their travel times to the nearest treatment center at their time of diagnosis were modelled. Patients' travel times were analysed by urban, suburban, and rural neighborhood types and an index of multiple socioeconomic deprivation was used to assess the role of socioeconomic status in patients' spatial access. Results: Significant associations between socioeconomic deprivation and spatial access to treatment were identified, with the most deprived quintiles of patients experiencing nearly twice the travel time as the least deprived quintile. The sharpest disparities were observed among the most deprived patient populations in suburban and rural areas. However, the establishment of new treatment centers has decreased overall travel times by 28% in recent decades. Conclusions: Residence in a neighborhood with high socioeconomic deprivation is strongly associated with head and neck cancer patients' spatial access to cancer treatment centers. Patients residing in the most socioeconomically deprived neighborhoods consistently have longer travel times in urban, suburban, and rural communities in the study area.Key words: cancer treatment, socioeconomic status, deprivation, head and neck cancers, spatial access, geographic information systems, Canada.© BB Walker, N Schuurman, A Auluck, SA Lear, M Rosin 2017. A Licence to publish this material has been given to James Cook University, http://www.jcu.edu.au 2 IntroductionWith an estimated 525 000 new cases in 2012, head and neck cancers are the eighth most common non-melanoma cancers globally 1. This number is expected to grow significantly in the coming decades, resulting in increased demand for treatment 2 .To maximize efficiency, comprehensive cancer treatment facilities are most commonly located in areas where they service the largest proportion of the patient population, generally in large urban centers. This results in a geographical inequity, such that individuals living farther from a cancer treatment center experience a greater travel burden in order to attend their treatment, particularly those living in rural and remote areas , and survival 14. The time required for patients to travel from the home to a cancer treatment center is therefore an important factor throughout the continuum of care, and may inform more efficient and equitable cancer control programs and policy.The travel time required for an individual to reach a treatment center provides a quantitative measure of access 15 . However, an individual's access to a health service may also be measured as the ...

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A Literature Review of the Use of GIS-Based Measures of Access to Health Care Services

Cited by 243 publications

References 89 publications

Clinical epidemiology and treatment patterns of patients with multicentric Castleman disease: results from two US treatment centres

Clinical epidemiology and treatment patterns of patients with multicentric Castleman disease: results from two US treatment centres

Measuring access to urban health services using Geographical Information System (GIS): a case study of health service management in Bandar Abbas, Iran

Socioeconomic disparities in head and neck cancer patients’ access to cancer treatment centers

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