Evidence map›Paper›PMID 40225379›Full record

ArticleKidney international reports2025

In-Center Hemodialysis and Patient Travel Time in Aotearoa New Zealand: A Nationwide Geospatial and Data Linkage Study.

Johanna M Birrell, Angela C Webster, Nicholas B Cross, Andrew Kindon, Matthew Hobbs, James A Hedley, Tim Driscoll, Nicole L De La Mata

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Kidney international reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Johanna M BirrellSchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Angela C WebsterSchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Nicholas B CrossSchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Andrew KindonGeoHealth Laboratory, Te Taiwhenua O Te Hauora, University of Canterbury, Te Whare Wānanga O Waitaha, Christchurch, Ōtautahi, New Zealand.
Matthew HobbsGeoHealth Laboratory, Te Taiwhenua O Te Hauora, University of Canterbury, Te Whare Wānanga O Waitaha, Christchurch, Ōtautahi, New Zealand.
James A HedleySchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Tim DriscollSchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Nicole L De La MataSchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: 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. Methods: 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 ( Results: 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]; Conclusion: 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.

Indexed as

dialysisfirst nations peoplesgeo-spatial mappinghealth equityhealth services researchtravel time

Identifiers

PMID40225379
PMCPMC11993220

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.