Comparing potential spatial access with self-reported travel times and cost analysis to haemodialysis facilities in North-eastern Iran

Behzad Kiani, Nasser Bagheri, Ahmad Tara, Benyamin Hoseini, Soheil Hashtarkhani, Mahmood Tara

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)
39 Downloads (Pure)

Abstract

End-stage renal disease patients regularly need haemodialysis three times a week. Their poor access to haemodialysis facilities is significantly associated with a high mortality rate. The present cross-sectional study aimed to measure the potential spatial access to dialysis services at a small area level (census tract level) in North Khorasan Province, Iran. The patients were interviewed to obtain their travel information. The two-step floating catchment area (2SFCA) method was used to measure the spatial accessibility of patients to the dialysis centres. The capacity of the dialysis centre was defined as the number of active dialysis facilities in each centre and the haemodialysis patients in each area were considered as the users of dialysis services. The travel cost from each patient's residence to the haemodialysis facilities was visualized by the Kriging interpolation algorithm in the study area. Spatial accessibility to the dialysis centre was poor in the northern part of the study area. Fortunately, there were not many haemodialysis patients in that area. Patients' travel costs were high in the northern areas compared to the rest of study area. We observed a statistically significant reverse correlation between the self-reported travel time and computed spatial accessibility (-0.570, P value
Original languageEnglish
Article number703
Pages (from-to)240-246
Number of pages7
JournalGeospatial Health
Volume13
Issue number2
DOIs
Publication statusPublished - 13 Nov 2018

Fingerprint

Dive into the research topics of 'Comparing potential spatial access with self-reported travel times and cost analysis to haemodialysis facilities in North-eastern Iran'. Together they form a unique fingerprint.

Cite this