Evidence map›Paper›PMID 38784588›Full record

ArticleFrontiers in public health2024

Patients, healthcare providers, and general population preferences for hemodialysis vascular access: a discrete choice experiment.

Tak-Sui Wong, Qian Chen, Taoran Liu, Jing Yu, Yangyang Gao, Yan He, Qiongqiong Zhong, Zijian Tan, Tinlun Liu, Jian Lu and 5 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

15 authors.

Tak-Sui Wong *Division of Nephrology, Department of Medicine, The First Affiliated Hospital, Jinan University, Guangzhou, China.
Qian Chen *Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Taoran Liu *Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Jing YuDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Yangyang GaoDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Yan HeDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Qiongqiong ZhongDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Zijian TanDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Tinlun LiuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Jian LuDivision of Nephrology, Department of Medicine, The First Affiliated Hospital, Jinan University, Guangzhou, China.
Jian HuangSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Casper J P ZhangSchool of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
Lianghong YinDivision of Nephrology, Department of Medicine, The First Affiliated Hospital, Jinan University, Guangzhou, China.
Bo HuDivision of Nephrology, Department of Medicine, The First Affiliated Hospital, Jinan University, Guangzhou, China.
Wai-Kit MingDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A patient-centered dialysis treatment option requires an understanding of patient preferences for alternative vascular accesses and nephrologists often face difficulties when recommending vascular access to end-stage kidney disease (ESKD) patients. We aimed to quantify the relative importance of various vascular access characteristics to patients, healthcare providers and general population, and how they affect acceptability for patients and healthcare providers. Methods: In a discrete choice experiment, patients with maintenance hemodialysis (MHD), healthcare providers, and individuals from the general population were invited to respond to a series of hypothetical vascular access scenarios that differed in five attributes: cumulative patency, infection rate, thrombosis rate, cost, and time to maturation. We estimated the respondents' preference heterogeneity and relative importance of the attributes with a mixed logit model (MXL) and predicted the willingness to pay (WTP) of respondents via a multinomial logit model (MNL). Results: Healthcare providers ( Conclusion: Patients and healthcare providers had a strong preference for vascular access with superior patency. While the general population preferred vascular access with lower thrombosis rates. These results indicate that most patients prefer autogenous arteriovenous fistula (AVF) as an appropriate choice for vascular access due to its superior patency and lower complications than other vascular access types.

Indexed as

Kidney Failure, ChronicPatient PreferenceRenal DialysisAdultAgedArteriovenous Shunt, SurgicalChoice BehaviorFemaleHealth PersonnelHumansMaleMiddle AgedSurveys and QuestionnairesVascular Patencydiscrete choice experimentgeneral populationhealthcare providershemodialysispatientspreferencevascular access

Identifiers

PMID38784588
PMCPMC11112084

What OpenQuestion holds

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LicenceCC BY
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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.