Evidence map›Paper›PMID 21817130›Full record

ArticleClinical journal of the American Society of Nephrology : CJASN2011

A novel technique to optimize facility locations of new nephrology services for remote areas.

Bharati Ayyalasomayajula, Natasha Wiebe, Brenda R Hemmelgarn, Aminu Bello, Braden Manns, Scott Klarenbach, Marcello Tonelli

Abstract read
In one paragraph

Article in Clinical journal of the American Society of Nephrology : CJASN, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Adding specialized clinics for remote-dwellers with chronic kidney disease: a cost-utility analysis.Clinical journal of the American Society of Nephrology : CJASN · 2012
    Article
  7. Review
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

7 authors.

Bharati AyyalasomayajulaDepartment of Medicine, University of Alberta, Edmonton, Alberta, Canada.
Natasha Wiebe
Brenda R Hemmelgarn
Aminu Bello
Braden Manns
Scott Klarenbach
Marcello Tonelli

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesTravel distance to healthcare facilities affects healthcare access and utilization. Using the example of patients with kidney disease and nephrology services, we investigated the feasibility and utility of using geographic information system (GIS) techniques to identify the ideal location for new clinics to improve care for patients with kidney disease, on the basis of systematically minimizing travel time for remote dwellers. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Using a provincial laboratory database to identify patients with kidney disease and where they lived, we used GIS techniques of buffer and network analysis to determine ideal locations for up to four new nephrology clinics. Service-area polygons for different travel-time intervals were generated and used to determine the best locations for the four new facilities that would minimize the number of patients with kidney disease who were traveling >2 hours.

resultsWe studied 31,452 adults with living in Alberta, Canada. Adding the four new facilities would increase the number of patients living <30 minutes from a clinic by 2.2% and reduce the number living >120 minutes away by 72.5%. Different two- and three-clinic scenarios reduced the number of people living >120 minutes away by as much as 65% or as little as 32%, emphasizing the importance of systematic evaluation.

conclusionsGIS techniques are an attractive alternative to the current practice of arbitrarily locating new facilities on the basis of perceptions about patient demand. Optimal location of new clinical services to minimize travel time might facilitate better patient care.

Indexed as

Geographic Information SystemsHealth Services AccessibilityNephrologyAlbertaChronic DiseaseHumansKidney DiseasesTime FactorsTravel

Identifiers

PMID21817130
PMCPMC3358989

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Registered trials

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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.