Comparing geographical distribution of community‐based physiotherapists and family physicians across Saskatchewan

Shah, Tayyab; Bath, Brenna; Milosavljevic, Stephan

doi:10.1111/cag.12224

Cited by 12 publications

(27 citation statements)

References 50 publications

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“…For example, studies have investigated the distribution of local health care resources, family physicians and associated technical issues (such as addressing geocoding positional and matching errors), and proximity analysis of health care service availability and impact of distance, food outlets, etc. (Aspen et al ; Harrington et al ; Bell et al ; Engler‐Stringer et al ; Shah et al ). In order to calculate the access score for the dental and PHC services, dental practitioner addresses in 2014 were accessed from the College of Dental Surgeons of Saskatchewan and family physician addresses in 2013 were accessed from the Saskatchewan College of Physicians and Surgeons.…”

Section: Methods and Datamentioning

confidence: 99%

“…Very low or no access scores indicate poor geographical accessibility to the PHC providers. The 3SFCA method has been applied to PHC services, food availability, and access to physical therapy services (Shah and Bell ; Engler‐Stringer et al ; Shah et al ). As comparators we examined the physical accessibility of dental services to that of other PHC services such as family physician practices, as well as socio‐economic variables we believe are related to diminished ability to pay for or access fee‐for‐service dental care (Bissonnette et al ; Shah, Aspen, and Bell ).…”

Section: Methods and Datamentioning

confidence: 99%

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Dental service disparities in Canada: A Saskatoon, Saskatchewan case study

Jones

Shah²,

Hayes

et al. 2016

Canadian Geographies / Géographies canadiennes

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Section: Methods and Datamentioning

confidence: 99%

Section: Methods and Datamentioning

confidence: 99%

Dental service disparities in Canada: A Saskatoon, Saskatchewan case study

Jones

Shah²,

Hayes

et al. 2016

Canadian Geographies / Géographies canadiennes

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show abstract

“…Some studies, such as Bascuñan and Quezada ( 2016 ), Domnich et al ( 2016 ), and Yin et al ( 2018 ), acknowledge the important rural/urban divides in health care access by using variables such as population density and USDA rural/urban codes. Others, such as Shah et al ( 2015 ), Daly et al ( 2019 ), and Chateau et al ( 2012 ) recognize how economic barriers, such as low income and a lack of health insurance, can prevent people from accessing health care, even if it is physically located near their residence. Another set of limitations is derived from transportation issues, above and beyond the distance or travel time, such as rates of vehicle ownership or public transportation usage (Bascuñan and Quezada 2016 ; Shah et al 2015 ; Paez et al 2010 ; Asanin and Wilson 2008 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Others, such as Shah et al ( 2015 ), Daly et al ( 2019 ), and Chateau et al ( 2012 ) recognize how economic barriers, such as low income and a lack of health insurance, can prevent people from accessing health care, even if it is physically located near their residence. Another set of limitations is derived from transportation issues, above and beyond the distance or travel time, such as rates of vehicle ownership or public transportation usage (Bascuñan and Quezada 2016 ; Shah et al 2015 ; Paez et al 2010 ; Asanin and Wilson 2008 ). Lastly, demographics such as family structure and education are recognized through variables like the single-parent household and the education level of the head of household, and are included in some indices (Paez et al 2010 ; McGrail and Humphreys 2015 ; Gao et al 2017 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Others, however, used more qualitative means to select their variables (e.g. Shah et al 2015 ; Asanin and Wilson 2008 ). For example, Shah et al pulled potential factors, such as income and age structure, from the literature on health access, without conducting any additional analyses to identify variables which are significant within their study area.…”

Section: Literature Reviewmentioning

confidence: 99%

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Assessing consistency among indices to measure socioeconomic barriers to health care access

Conley

Hong

Williams

et al. 2021

Health Serv Outcomes Res Method

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Many places within rural America lack ready access to health care facilities. Barriers to access can be both spatial and non-spatial. Measurements of spatial access, such as the Enhanced Floating 2-Step Catchment Area and other floating catchment area measures, produce similar patterns of access. However, the extent to which different measurements of socioeconomic barriers to access correspond with each other has not been examined. Using West Virginia as a case study, we compute indices based upon the literature and measure the correlations among them. We find that all indices positively correlate with each other, although the strength of the correlation varies. Also, while there is broad agreement in the general spatial trends, such as fewer barriers in urban areas, and more barriers in the impoverished southwestern portion of the state, there are regions within the state that have more disagreement among the indices. These indices are to be used to support decision-making with respect to placement of rural residency students from medical schools within West Virginia to provide students with educational experiences as well as address health care inequalities within the state. The results indicate that for decisions and policies that address statewide trends, the choice of metric is not critical. However, when the decisions involve specific locations for receiving rural residents or opening clinics, the results can become more sensitive to the selection of the index. Therefore, for fine-grained policy decision-making, it is important that the chosen index best represents the processes under consideration.

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Challenging terrains: socio-spatial analysis of Primary Health Care Access Disparities in West Virginia

Hong¹,

Wilson

Gross

et al. 2022

Appl. Spatial Analysis

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Existing measures of health care access were inadequate for guiding policy decisions in West Virginia, as they identified the entire state as having limited access. To address this, we compiled a comprehensive database of primary health care providers and facilities in the state, developed a modified E2SFCA tool to measure spatial access in the context of West Virginia’s rural and mountainous nature, and integrated this with an index of socio-economic barriers to access. The integrated index revealed that the rural areas, especially in the southern part of the state, have especially limited access to primary health care. 1. Introduction. An emerging public health issue which has been exacerbated by the COVID-19 pandemic, is that of healthcare deserts , which are places where basic affordable health care is not accessible for residents. This problem has become worse in rural areas as rural hospitals close. In these areas, including West Virginia, scattered populations suffer from limited access to primary healthcare services. Uneven geographic and socio-economic barriers to accessing primary health care are major contributing factors to these health disparities. West Virginia’s unique rural and mountainous settlement patterns, aging population, and economic crisis over the past two decades have resulted in unequal access to the primary healthcare services for its residents. The rural nature of the state makes it difficult to maintain medical facilities accessible to much of the population, especially as rural hospitals have been closing, such as the one in Williamson, WV (Jarvie, 2020 ). The mountainous terrain slows down travel across winding roads, lengthening travel times to the nearest hospital, while an aging population has increased health care needs. Lastly, an economic crisis and higher poverty rate makes West Virginians less able to pay for health care. As a result, West Virginians are confronting a health crisis. According to a recent report by the West Virginia Health Statistics Center ( 2019 ), West Virginians rank first in the country for heart attacks, have the second-highest obesity rate and prevalence of mental health problems in the country, along with the fourth-highest rate of diabetes and fifth-highest rate of cancer. An issue faced by West Virginia’s policymakers is the limitations of tools for identifying and assessing healthcare deserts, as they are poorly suited for the unique challenges in West Virginia. Academic research has not analyzed comprehensive primary healthcare accessibility in WV, although previous studies have focused on Appalachia (e.g., Behringer & Friedell 2006 ; Smith & Holloman, 2011 ; Elnicki et al., 1995 ; Donohoe et al., 2015 , 2016a , 2016b ), and others focus on access to more specialized services (Valvi et al., ...

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Comparing geographical distribution of community‐based physiotherapists and family physicians across Saskatchewan

Cited by 12 publications

References 50 publications

Dental service disparities in Canada: A Saskatoon, Saskatchewan case study

Dental service disparities in Canada: A Saskatoon, Saskatchewan case study

Assessing consistency among indices to measure socioeconomic barriers to health care access

Challenging terrains: socio-spatial analysis of Primary Health Care Access Disparities in West Virginia

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