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Permanent link (DOI): https://doi.org/10.7939/R3WB24

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Spatial analysis to locate new clinics for diabetic kidney patients in the underserved communities in Alberta Open Access

Descriptions

Other title
Subject/Keyword
clinics
spatial
locate
underserved
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Faruque, Labib I
Supervisor and department
Tonelli, Marcello (Department of Medicine)
Examining committee member and department
Klarenbach, Scott (Department of Medicine)
Eurich, Dean (Department of Public Health Sciences)
Pannu, Neesh (Department of Medicine)
Tonelli, Marcello (Department of Medicine)
Department
School of Public Health Sciences
Specialization
Epidemiology
Date accepted
2012-09-24T15:12:49Z
Graduation date
2012-09
Degree
Master of Science
Degree level
Master's
Abstract
Background: Canadians often live far from health care facilities, which may compromise their care. However, no objective method exists for selecting new facilities from potential locations. We used a new method for selecting optimum clinic locations and characterized remote-dwellers clinically. Method: We used two methods for locating remote-dwelling Albertans with diabetes and chronic kidney disease (defined by estimated glomerular filtration rate of 15-60 ml/min/1.73m2): plots of unadjusted density of patients per 100 km square; and SaTScan analysis which presents prevalent patient clusters with CKD rates (adjusted for population size). Results: We studied 32,278 patients with concomitant CKD and diabetes. Density plots localized one large cluster. However, SaTScan technique and buffer analysis detected additional clusters in the northwest and southeast regions of Alberta. Identified clusters had higher hospitalization rates. Conclusions: SaTScan objectively identifies clusters of underserved high-risk CKD patients and may be helpful for decision-makers in planning potential new facility locations.
Language
English
DOI
doi:10.7939/R3WB24
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
A version of the second chapter including methods and results of spatial analysis has been accepted for publication in Nephrology Dialysis Transplantation on 15th June 2012. The citation of the epublished article: Faruque LI, Ayyalasomayajula B, Pelletier R, Klarenbach S, Hemmelgarn BR, Tonelli M. Spatial analysis to locate new clinics for diabetic kidney patients in the underserved communities in Alberta. Nephrol Dial Transplant. 2012 Jul 26. [Epub ahead of print]

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