Towards Healthy China 2030: Modeling health care accessibility with patient referral

2021 ◽  
pp. 113834
Author(s):  
Yixiong Xiao ◽  
Xiang Chen ◽  
Qiang Li ◽  
Pengfei Jia ◽  
Luning Li ◽  
...  
2021 ◽  
Vol 10 (8) ◽  
pp. 506
Author(s):  
Jan Ketil Rød ◽  
Arne H. Eide ◽  
Thomas Halvorsen ◽  
Alister Munthali

Central to this article is the issue of choosing sites for where a fieldwork could provide a better understanding of divergences in health care accessibility. Access to health care is critical to good health, but inhabitants may experience barriers to health care limiting their ability to obtain the care they need. Most inhabitants of low-income countries need to walk long distances along meandering paths to get to health care services. Individuals in Malawi responded to a survey with a battery of questions on perceived difficulties in accessing health care services. Using both vertical and horizontal impedance, we modelled walking time between household locations for the individuals in our sample and the health care centres they were using. The digital elevation model and Tobler’s hiking function were used to represent vertical impedance, while OpenStreetMap integrated with land cover map were used to represent horizontal impedance. Combining measures of walking time and perceived accessibility in Malawi, we used spatial statistics and found spatial clusters with substantial discrepancies in health care accessibility, which represented fieldwork locations favourable for providing a better understanding of barriers to health access.


Cancer ◽  
2021 ◽  
Vol 127 (8) ◽  
pp. 1347-1348
Author(s):  
Nathan Chertack ◽  
Fady Baky ◽  
Solomon Woldu ◽  
Aditya Bagrodia

2014 ◽  
Vol 12 (4) ◽  
pp. 461-470 ◽  
Author(s):  
Eric J. Belasco ◽  
Gordon Gong ◽  
Barbara Pence ◽  
Ethan Wilkes

10.1068/a4024 ◽  
2008 ◽  
Vol 40 (10) ◽  
pp. 2510-2525 ◽  
Author(s):  
David Martin ◽  
Hannah Jordan ◽  
Paul Roderick

This paper is concerned with geographical access to hospital services by public transport. By taking advantage of newly available public transport timetable data, a software tool is developed for the analysis of bus travel times under specified journey scenarios. The example of population access to Derriford Hospital in Devon, England, is used to illustrate the application of these methods, and the social and spatial pattern of accessibility by bus is explored. The analysis reveals substantial differences between access by public and private transport, and highlights the difficulty of combining conventional drive-time analysis with the discontinuous accessibility provided by public transport. There is a need for more attention to be paid to the incorporation of public transport in accessibility modelling.


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