The Impact of Socioeconomic Factors on the Prevalence of Hemodialysis in Mainland China

被引:0
作者
Xing, Zenghui [1 ]
Li, Sichen [1 ,2 ]
Zhao, Delong [1 ]
Liu, Chao [1 ]
Cai, Guangyan [1 ]
Chen, Xiangmei [1 ]
Sun, Xuefeng [1 ]
机构
[1] Chinese Peoples Liberat Army Gen Hosp, Natl Clin Res Ctr Kidney Dis,Beijing Key Lab Digit, Dept Nephrol,Med Ctr 1,Beijing Key Lab Med Devices, State Key Lab Kidney Dis,Key Disciplines Natl Adm, Beijing 100853, Peoples R China
[2] Ningbo Univ, Affiliated Hosp 1, Dept Nephrol, Ningbo, Peoples R China
关键词
hemodialysis; per capita gross domestic product; prevalence rate; socioeconomic factors; STAGE KIDNEY-DISEASE; DIALYSIS OUTCOMES; PRACTICE PATTERNS; REPLACEMENT THERAPY; MORTALITY; SURVIVAL; MODALITY; EQUITY;
D O I
10.1111/hdi.13218
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Objective The prevalence of hemodialysis varies significantly across countries and regions with different levels of socioeconomic development. This paper aims to analyze the socioeconomic factors influencing hemodialysis in mainland China, providing a basis for formulating reasonable hemodialysis strategies. Methods All the hemodialysis prevalence data and socioeconomic data were obtained from the National Medical Service and Quality Safety Report and the China Statistical Yearbook. The 31 regions were categorized into low, medium, and high groups based on the per capita gross domestic product, and the changes in hemodialysis prevalence rates and their growth rates were compared. Linear regression analysis was conducted to identify the independent risk factors affecting hemodialysis prevalence rates. Results Significant differences in hemodialysis prevalence rates were observed across different years and per capita gross domestic product groups (p < 0.001). The prevalence of hemodialysis in the low and medium per capita gross domestic product groups significantly increased from 2011 to 2020 (p < 0.001), while an increase in the high per capita gross domestic product group was not statistically significant (p > 0.05). The growth in hemodialysis prevalence rates over the 10-year period decreased with increasing per capita gross domestic product levels in 2011 (325.2% +/- 98.6%, 209.3% +/- 61.9%, and 52.6% +/- 73.7% for the low, medium, and high per capita gross domestic product groups, respectively). The incidence of hemodialysis, per capita gross domestic product, the proportion of rural-urban population, highway mileage per square kilometer, and the number of beds in medical facilities per 1000 population were identified as independent factors of hemodialysis prevalence rates (p < 0.05). Conclusions With the development of the social economy and the enhancement of medical service capabilities, the prevalence of hemodialysis in Mainland China has increased. Compared to economically less developed and moderately developed regions, the increase in hemodialysis prevalence in economically developed areas has been attenuated.
引用
收藏
页数:8
相关论文
共 26 条
[1]   Kt/V: achievement, predictors and relationship to mortality in hemodialysis patients in the Gulf Cooperation Council countries: results from DOPPS (2012-18) [J].
AlSahow, Ali ;
Muenz, Daniel ;
Al-Ghonaim, Mohammed A. ;
Al Salmi, Issa ;
Hassan, Mohamed ;
Al Aradi, Ali H. ;
Hamad, Abdullah ;
Al-Ghamdi, Saeed M. G. ;
Shaheen, Faissal A. M. ;
Alyousef, Anas ;
Bieber, Brian ;
Robinson, Bruce M. ;
Pisoni, Ronald L. .
CLINICAL KIDNEY JOURNAL, 2021, 14 (03) :820-830
[2]  
An N. L. H., 2015, Chinese Journal of Blood Purification, V14, P626
[3]  
[Anonymous], 2018, 2018 USRDS Annual Data Report: Epidemiology of Kidney Disease in the United States
[4]   Predictors of early mortality among incident US hemodialysis patients in the Dialysis Outcomes and Practice Patterns Study (DOPPS) [J].
Bradbury, Brian D. ;
Fissell, Rachel B. ;
Albert, Justin M. ;
Anthony, Mary S. ;
Critchlow, Cathy W. ;
Pisoni, Ronald L. ;
Port, Friedrich K. ;
Gillespie, Brenda W. .
CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2007, 2 (01) :89-99
[5]   Mortality rates among prevalent hemodialysis patients in Beijing: a comparison with USRDS data [J].
Cheng, Xuyang ;
Nayyar, Saleem ;
Wang, Mei ;
Li, Xuemei ;
Sun, Yi ;
Huang, Wen ;
Zhang, Ling ;
Wu, Hua ;
Jia, Qiang ;
Liu, Wenhu ;
Sun, Xuefeng ;
Li, Jijun ;
Lun, Lide ;
Zhou, Chunhua ;
Cui, Taigen ;
Zhang, Aihua ;
Wang, Kai ;
Wang, Shixiang ;
Sun, Weiming ;
Zuo, Li .
NEPHROLOGY DIALYSIS TRANSPLANTATION, 2013, 28 (03) :724-732
[6]   Kidney Replacement Treatment in South-Western Italy (Campania): Population-Based Study on Gender and Residence Inequalities in Health Care Access [J].
Cirillo, Massimo ;
Palladino, Raffaele ;
Ciacci, Carolina ;
Atripaldi, Lidia ;
Fumo, Maria Grazia ;
Giordana, Roberta ;
Triassi, Maria .
JOURNAL OF CLINICAL MEDICINE, 2021, 10 (03) :1-11
[7]   Global Dialysis Perspective: Australia [J].
Damasiewicz, Matthew J. ;
Polkinghorne, Kevan R. .
KIDNEY360, 2020, 1 (01) :48-51
[8]  
Daugirdas JT, 2015, AM J KIDNEY DIS, V66, P884, DOI 10.1053/j.ajkd.2015.07.015
[9]   Association of comorbid conditions and mortality in hemodialysis patients in Europe, Japan, and the United States: The dialysis outcomes and practice patterns study (DOPPS) [J].
Goodkin, DA ;
Bragg-Gresham, JL ;
Koenig, KG ;
Wolfe, RA ;
Akiba, T ;
Andreucci, VE ;
Saito, A ;
Rayner, HC ;
Kurokawa, K ;
Port, FK ;
Held, PJ ;
Young, EW .
JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2003, 14 (12) :3270-3277
[10]  
International Society of Nephrology, Global Kidney Health Atlas, V2nd