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Trajectories of Outpatient Service Utilisation of Hypertensive Patients in Tertiary Hospitals in China

This study aims to identify the characteristics and trajectories of outpatient service utilisation for hypertensive patients in tertiary hospitals. This study also attempts to investigate the determinants of the trajectories of outpatient service utilisation. A total of 9822 patients with hypertensi...

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Autores principales: Pan, Zijing, Xu, Wanchun, Li, Zhong, Xu, Chengzhong, Lu, Fangfang, Zhang, Pei, Zhang, Liang, Ye, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037428/
https://www.ncbi.nlm.nih.gov/pubmed/32013261
http://dx.doi.org/10.3390/ijerph17030852
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author Pan, Zijing
Xu, Wanchun
Li, Zhong
Xu, Chengzhong
Lu, Fangfang
Zhang, Pei
Zhang, Liang
Ye, Ting
author_facet Pan, Zijing
Xu, Wanchun
Li, Zhong
Xu, Chengzhong
Lu, Fangfang
Zhang, Pei
Zhang, Liang
Ye, Ting
author_sort Pan, Zijing
collection PubMed
description This study aims to identify the characteristics and trajectories of outpatient service utilisation for hypertensive patients in tertiary hospitals. This study also attempts to investigate the determinants of the trajectories of outpatient service utilisation. A total of 9822 patients with hypertension and hypertension-related medical utilisation were recruited in Yichang, China from January 1 to December 31 in 2016. The latent trajectories of outpatient service utilisation were identified through latent class growth analysis. Differences in the demographic characteristics and medical utilisation among patients in different trajectories were tested by one-way ANOVA and chi-square analysis. The predictors of the trajectory groups of outpatient service utilisation were identified through multinomial logistic regression. Four trajectory groups were determined as stable-low (34.7%), low-fluctuating (13.4%), high-fluctuating (22.5%), and stable-high (29.4%). Significant differences were observed in all demographic characteristics (p < 0.001) and medical service utilisation variables (p < 0.001) among the four trajectories except for inpatient cost (p = 0.072). Determinants for outpatient service utilisation patterns include the place of residence, education level, outpatient visit times, inpatient service utilisation, and outpatient cost. Overall, hypertensive patients visiting outpatient units in the tertiary hospital were middle-aged, elderly, and well-educated, and they received poor follow-up services. The four identified latent trajectories have different characteristics and medical utilisation patterns. Trajectory group-based measurements are necessary for hypertension management and economic burden reduction.
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spelling pubmed-70374282020-03-11 Trajectories of Outpatient Service Utilisation of Hypertensive Patients in Tertiary Hospitals in China Pan, Zijing Xu, Wanchun Li, Zhong Xu, Chengzhong Lu, Fangfang Zhang, Pei Zhang, Liang Ye, Ting Int J Environ Res Public Health Article This study aims to identify the characteristics and trajectories of outpatient service utilisation for hypertensive patients in tertiary hospitals. This study also attempts to investigate the determinants of the trajectories of outpatient service utilisation. A total of 9822 patients with hypertension and hypertension-related medical utilisation were recruited in Yichang, China from January 1 to December 31 in 2016. The latent trajectories of outpatient service utilisation were identified through latent class growth analysis. Differences in the demographic characteristics and medical utilisation among patients in different trajectories were tested by one-way ANOVA and chi-square analysis. The predictors of the trajectory groups of outpatient service utilisation were identified through multinomial logistic regression. Four trajectory groups were determined as stable-low (34.7%), low-fluctuating (13.4%), high-fluctuating (22.5%), and stable-high (29.4%). Significant differences were observed in all demographic characteristics (p < 0.001) and medical service utilisation variables (p < 0.001) among the four trajectories except for inpatient cost (p = 0.072). Determinants for outpatient service utilisation patterns include the place of residence, education level, outpatient visit times, inpatient service utilisation, and outpatient cost. Overall, hypertensive patients visiting outpatient units in the tertiary hospital were middle-aged, elderly, and well-educated, and they received poor follow-up services. The four identified latent trajectories have different characteristics and medical utilisation patterns. Trajectory group-based measurements are necessary for hypertension management and economic burden reduction. MDPI 2020-01-29 2020-02 /pmc/articles/PMC7037428/ /pubmed/32013261 http://dx.doi.org/10.3390/ijerph17030852 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pan, Zijing
Xu, Wanchun
Li, Zhong
Xu, Chengzhong
Lu, Fangfang
Zhang, Pei
Zhang, Liang
Ye, Ting
Trajectories of Outpatient Service Utilisation of Hypertensive Patients in Tertiary Hospitals in China
title Trajectories of Outpatient Service Utilisation of Hypertensive Patients in Tertiary Hospitals in China
title_full Trajectories of Outpatient Service Utilisation of Hypertensive Patients in Tertiary Hospitals in China
title_fullStr Trajectories of Outpatient Service Utilisation of Hypertensive Patients in Tertiary Hospitals in China
title_full_unstemmed Trajectories of Outpatient Service Utilisation of Hypertensive Patients in Tertiary Hospitals in China
title_short Trajectories of Outpatient Service Utilisation of Hypertensive Patients in Tertiary Hospitals in China
title_sort trajectories of outpatient service utilisation of hypertensive patients in tertiary hospitals in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037428/
https://www.ncbi.nlm.nih.gov/pubmed/32013261
http://dx.doi.org/10.3390/ijerph17030852
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