Birrell Johanna M, Webster Angela C, Cross Nicholas B, Kindon Andrew, Hobbs Matthew, Hedley James A, Driscoll Tim, De La Mata Nicole L
School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Department of Nephrology, Te Whatu Ora Waitaha Canterbury, Christchurch, New Zealand.
Kidney Int Rep. 2024 Dec 31;10(3):921-934. doi: 10.1016/j.ekir.2024.12.028. eCollection 2025 Mar.
Prolonged travel time to receive dialysis is associated with decreased quality of life and increased mortality. However, patient travel time is rarely systematically analyzed during health service planning. This study's aims were as follows: (i) examine spatio-temporal trends in travel time for people commencing dialysis in Aotearoa New Zealand (NZ), (ii) assess the relationship between travel time and dialysis modality, and (iii) create interactive nationwide maps to support renal service planning.
AcceSS and Equity in Treatment for kidney disease (ASSET), a health-linked data platform, was used to include all people commencing dialysis in NZ from 2006 to 2019 ( = 6690). Patients' one-way driving times from their residential location to the nearest hemodialysis unit were estimated using geospatial software. Multiple logistic regression modelling explored the association between travel time and dialysis modality, adjusting for demographic, clinical, and service factors.
Median one-way driving time was 14 minutes (interquartile interval [IQI]: 8-31) and was significantly higher for patients living in rural (45 minutes [IQI: 28-62]) than in urban areas (11 minutes [IQI:8-18]; < 0.001). Patients living farther from a unit were independently less likely to receive in-center hemodialysis (0.62 [95% confidence interval, CI: 0.52-0.72] for driving time ≥ 30 minutes; odds ratio, OR: 0.82 [95% CI:0.68-0.99] for 20-29; reference < 10), as were those in regions with greater hemodialysis unit capacity pressure. Our interactive maps demonstrate marked interregional variation in dialysis modality, patient travel time, and unit capacity.
Innovative service design is needed to reduce the burden of travel time, particularly for rural dialysis patients. We present novel geospatial techniques to support dialysis service planning that is targeted to the areas of greatest need.
接受透析的行程时间延长与生活质量下降和死亡率增加有关。然而,在卫生服务规划过程中,患者的行程时间很少得到系统分析。本研究的目的如下:(i)研究新西兰(NZ)开始透析的人群行程时间的时空趋势,(ii)评估行程时间与透析方式之间的关系,以及(iii)创建交互式全国地图以支持肾脏服务规划。
使用与健康相关的数据平台“肾脏疾病治疗的可及性与公平性”(ASSET)纳入2006年至2019年在NZ开始透析的所有人(n = 6690)。使用地理空间软件估计患者从居住地点到最近血液透析单位的单程驾车时间。多元逻辑回归模型探讨了行程时间与透析方式之间的关联,并对人口统计学、临床和服务因素进行了调整。
单程驾车时间中位数为14分钟(四分位间距[IQI]:8 - 31),农村地区患者(45分钟[IQI:28 - 62])显著高于城市地区患者(11分钟[IQI:8 - 18];P < 0.001)。居住距离单位较远的患者接受中心血液透析的可能性独立降低(驾车时间≥30分钟时为0.62[95%置信区间,CI:0.52 - 0.72];20 - 29分钟时比值比,OR:0.82[95%CI:0.68 - 0.99];参考值<10分钟),血液透析单位容量压力较大地区的患者也是如此。我们的交互式地图显示了透析方式、患者行程时间和单位容量在区域间存在显著差异。
需要创新服务设计以减轻行程时间负担,特别是对农村透析患者而言。我们提出了新颖的地理空间技术以支持针对最需要地区的透析服务规划。