Evidence map›Paper›PMID 39453603›Full record

ArticleJournal of nephrology2024

Geographic inequities in hemodialysis access: a call to reassess dialysis facility locations in Brazil.

Guilherme Palhares Aversa Santos, Ricardo Sesso, Jocemir Ronaldo Lugon, Precil Diego Miranda de Menezes Neves, Abner Mácola Pacheco Barbosa, Naila Camila da Rocha, Luis Gustavo Modelli de Andrade

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Article in Journal of nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

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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

7 authors.

Guilherme Palhares Aversa SantosDepartment of Internal Medicine, UNESP, Univ Estadual Paulista, Av. Prof. Montenegro, Distrito de, Botucatu, SP, 18618-687, Brazil.ORCID 0000-0002-4853-3506
Ricardo SessoDivision of Nephrology, Department of Medicine, Member of the Brazilian Dialysis Registry, Brazilian Society of Nephrology, Universidade Federal de São Paulo, São Paulo, São Paulo, Brazil.ORCID 0000-0002-1062-0073
Jocemir Ronaldo LugonDivision of Nephrology, Department of Medicine, Member of the Brazilian Dialysis Registry, Brazilian Society of Nephrology, Universidade Federal Fluminense, Niterói , Rio de Janeiro, Brazil.ORCID 0000-0001-6791-3910
Precil Diego Miranda de Menezes NevesNephrology Division, University of São Paulo, USP, São Paulo, Brazil.ORCID 0000-0003-1089-6763
Abner Mácola Pacheco BarbosaDepartment of Internal Medicine, UNESP, Univ Estadual Paulista, Av. Prof. Montenegro, Distrito de, Botucatu, SP, 18618-687, Brazil.ORCID 0000-0003-3668-8911
Naila Camila da RochaDepartment of Internal Medicine, UNESP, Univ Estadual Paulista, Av. Prof. Montenegro, Distrito de, Botucatu, SP, 18618-687, Brazil.ORCID 0000-0002-1684-2574
Luis Gustavo Modelli de AndradeDepartment of Internal Medicine, UNESP, Univ Estadual Paulista, Av. Prof. Montenegro, Distrito de, Botucatu, SP, 18618-687, Brazil. Gustavo.modelli@unesp.br.ORCID 0000-0002-0230-0766

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients who travel more than 60 min to undergo hemodialysis may experience higher mortality and lower quality of life. The primary aim of this study was to calculate the travel distance between patient city areas and dialysis facility care locations in Brazil, to highlight barriers and need to optimize access to chronic dialysis.

methodsWe conducted a retrospective cohort study using claims data from the Brazilian Public Health System's database, focusing on kidney replacement therapy (KRT) by hemodialysis. Our study population comprised all patients undergoing hemodialysis in Brazil between January 2023 and December 2023. For patients from different city areas, we calculated the Haversine distance between the patient city area and the dialysis facility.

resultsWe evaluated 154,788 patients who received hemodialysis funded by the Brazilian Public Health System. Fifty-nine percent of the patients underwent dialysis in the same city area. Overall, patients traveled a median (IQR) distance of 35.9 [19.5 - 64.2] kilometers to the facilities, 48% traveled more than 40 km, with a maximum traveling distance of 353 km. Notably, the median distance traveled was shortest in the Southeast (27.6 km) and longest in the North (84.3 km). The number of patients that traveled more than 40 km was lower in the Southeast (32%) and higher in the North region (77%).

conclusionThe travel distance to the dialysis facility is an important inequity to KRT access in Brazil. In the South and Southeast, where there is a higher dialysis unit density, patients have greater regional availability of dialysis centers, and shorter traveling distances than in the North, Midwest, and Northeast regions.

Indexed as

Health Services AccessibilityRenal DialysisAdultAgedAmbulatory Care FacilitiesBrazilFemaleHealthcare DisparitiesHumansKidney Failure, ChronicMaleMiddle AgedRetrospective StudiesTravelChronic kidney failureDialysisHemodialysis unitsSpatial analysis

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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.