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Nephrology workforce in China: describing current status and evaluating the optimal capacity based on real-world data

OBJECTIVE: This study aims to characterize the current status of the nephrology workforce in China and evaluate its optimal capacity based on real-world patient mobility data. METHODS: Data on nephrologists in China were collected from two prominent online healthcare platforms using web crawlers and...

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Autores principales: Wu, Jingyi, Li, Qing, Bao, Chenlu, Yang, Chao, Li, Pengfei, Zhang, Luxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410773/
https://www.ncbi.nlm.nih.gov/pubmed/37553692
http://dx.doi.org/10.1186/s12960-023-00851-3
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author Wu, Jingyi
Li, Qing
Bao, Chenlu
Yang, Chao
Li, Pengfei
Zhang, Luxia
author_facet Wu, Jingyi
Li, Qing
Bao, Chenlu
Yang, Chao
Li, Pengfei
Zhang, Luxia
author_sort Wu, Jingyi
collection PubMed
description OBJECTIVE: This study aims to characterize the current status of the nephrology workforce in China and evaluate its optimal capacity based on real-world patient mobility data. METHODS: Data on nephrologists in China were collected from two prominent online healthcare platforms using web crawlers and natural language processing techniques. Hospitalization records of patients with chronic kidney disease (CKD) from January 2014 to December 2018 were extracted from a national administrative database in China. City-level paths of patient mobility were identified. Effects of nephrology workforce on patient mobility were analyzed using multivariate Poisson regression models. RESULTS: Altogether 9.13 nephrologists per million population (pmp) were in practice, with substantial city-level variations ranging from 0.16 to 88.79. The ratio of nephrologists to the estimated CKD population was 84.57 pmp. Among 6 415 559 hospitalizations of patients with CKD, 21.3% were cross-city hospitalizations and 7441 city-level paths of patient mobility with more than five hospitalizations were identified. After making adjustment for healthcare capacity, healthcare insurance, economic status, and travel characteristics, the Poisson regression models revealed that the number of nephrologists in both the source city (incidence rate ratio [IRR] 0.99, per 1 pmp increase) and destination city (IRR 1.07, per 1 pmp increase) were independently associated with patient mobility. An IRR plateau was observed when the number of nephrologists exceeded 12 pmp in the source city, while a rapidly increasing IRR was observed beyond 20 pmp in the destination city. CONCLUSIONS: The nephrology workforce in China exhibits significant geographic variations. Based on local healthcare needs, an optimal range of 12–20 nephrologists pmp is suggested. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12960-023-00851-3.
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spelling pubmed-104107732023-08-10 Nephrology workforce in China: describing current status and evaluating the optimal capacity based on real-world data Wu, Jingyi Li, Qing Bao, Chenlu Yang, Chao Li, Pengfei Zhang, Luxia Hum Resour Health Research OBJECTIVE: This study aims to characterize the current status of the nephrology workforce in China and evaluate its optimal capacity based on real-world patient mobility data. METHODS: Data on nephrologists in China were collected from two prominent online healthcare platforms using web crawlers and natural language processing techniques. Hospitalization records of patients with chronic kidney disease (CKD) from January 2014 to December 2018 were extracted from a national administrative database in China. City-level paths of patient mobility were identified. Effects of nephrology workforce on patient mobility were analyzed using multivariate Poisson regression models. RESULTS: Altogether 9.13 nephrologists per million population (pmp) were in practice, with substantial city-level variations ranging from 0.16 to 88.79. The ratio of nephrologists to the estimated CKD population was 84.57 pmp. Among 6 415 559 hospitalizations of patients with CKD, 21.3% were cross-city hospitalizations and 7441 city-level paths of patient mobility with more than five hospitalizations were identified. After making adjustment for healthcare capacity, healthcare insurance, economic status, and travel characteristics, the Poisson regression models revealed that the number of nephrologists in both the source city (incidence rate ratio [IRR] 0.99, per 1 pmp increase) and destination city (IRR 1.07, per 1 pmp increase) were independently associated with patient mobility. An IRR plateau was observed when the number of nephrologists exceeded 12 pmp in the source city, while a rapidly increasing IRR was observed beyond 20 pmp in the destination city. CONCLUSIONS: The nephrology workforce in China exhibits significant geographic variations. Based on local healthcare needs, an optimal range of 12–20 nephrologists pmp is suggested. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12960-023-00851-3. BioMed Central 2023-08-08 /pmc/articles/PMC10410773/ /pubmed/37553692 http://dx.doi.org/10.1186/s12960-023-00851-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wu, Jingyi
Li, Qing
Bao, Chenlu
Yang, Chao
Li, Pengfei
Zhang, Luxia
Nephrology workforce in China: describing current status and evaluating the optimal capacity based on real-world data
title Nephrology workforce in China: describing current status and evaluating the optimal capacity based on real-world data
title_full Nephrology workforce in China: describing current status and evaluating the optimal capacity based on real-world data
title_fullStr Nephrology workforce in China: describing current status and evaluating the optimal capacity based on real-world data
title_full_unstemmed Nephrology workforce in China: describing current status and evaluating the optimal capacity based on real-world data
title_short Nephrology workforce in China: describing current status and evaluating the optimal capacity based on real-world data
title_sort nephrology workforce in china: describing current status and evaluating the optimal capacity based on real-world data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410773/
https://www.ncbi.nlm.nih.gov/pubmed/37553692
http://dx.doi.org/10.1186/s12960-023-00851-3
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