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Organisational and individual characteristics associated with glycaemic control among patients with type 2 diabetes: cross-sectional study in China

OBJECTIVE: There is a high prevalence of poor glycaemic control among patients with type 2 diabetes (T2DM) in China. This study aimed to explore both organisational and individual characteristics associated with glycaemic control among patients with T2DM. DESIGN: Cross-sectional survey. SETTING: Sha...

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Autores principales: Wang, Haipeng, Yao, Jingjing, Yin, Xiao, Guo, Xiaolei, Yin, Jia, Qu, Haiyan, Sun, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7245415/
https://www.ncbi.nlm.nih.gov/pubmed/32265251
http://dx.doi.org/10.1136/bmjopen-2019-036331
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author Wang, Haipeng
Yao, Jingjing
Yin, Xiao
Guo, Xiaolei
Yin, Jia
Qu, Haiyan
Sun, Qiang
author_facet Wang, Haipeng
Yao, Jingjing
Yin, Xiao
Guo, Xiaolei
Yin, Jia
Qu, Haiyan
Sun, Qiang
author_sort Wang, Haipeng
collection PubMed
description OBJECTIVE: There is a high prevalence of poor glycaemic control among patients with type 2 diabetes (T2DM) in China. This study aimed to explore both organisational and individual characteristics associated with glycaemic control among patients with T2DM. DESIGN: Cross-sectional survey. SETTING: Shandong Province, China. PARTICIPANTS: The participants were 2166 patients with T2DM and 337 healthcare providers from 36 urban communities and 36 rural villages in Shandong Province. PRIMARY AND SECONDARY OUTCOME MEASURES: Multistage stratified sampling procedures were used to measure demand-side individual demographic, clinical and self-management characteristics, and supply-side organisational characteristics, and the status of glycaemic control. Multilevel logistic regression analysis was performed to assess key determinants of glycaemic control. RESULTS: Only 42.8% of the patients with T2DM achieved good glycaemic control. Age, income, hypertension and self-efficacy were significantly positive predictors of optimal glycaemic control, while duration of diabetes, antidiabetic drugs and monitoring of blood glucose were significantly negative predictors of that. Private VCs (OR=0.48, 95% CI 0.29 to 0.82, p<0.01) and lack of healthcare providers (OR=0.69, 95% CI 0.53 to 0.89, p<0.01; OR=0.71, 95% CI 0.52 to 0.98, p<0.05) were significantly negative predictors of optimal glycaemic control, while diabetes knowledge level of healthcare providers (OR=1.36, 95% CI 1.02 to 1.83, p<0.05; OR=1.45, 95% CI 1.00 to 2.10, p<0.05) and kinds of antidiabetic drugs (OR=1.37, 95% CI 0.97 to 1.93, p<0.1; OR=1.46, 95% CI 1.07 to 2.00, p<0.05) were significantly positive predictors of that. CONCLUSIONS: Glycaemic control was suboptimal among patients with T2DM in China. The determinants of failing to achieve good glycaemic control included both organisational and individual characteristics. Potential interventions that target patients, providers and the healthcare organisations should be taken to improve the glycaemic control and health outcome among patients with T2DM.
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spelling pubmed-72454152020-06-03 Organisational and individual characteristics associated with glycaemic control among patients with type 2 diabetes: cross-sectional study in China Wang, Haipeng Yao, Jingjing Yin, Xiao Guo, Xiaolei Yin, Jia Qu, Haiyan Sun, Qiang BMJ Open Diabetes and Endocrinology OBJECTIVE: There is a high prevalence of poor glycaemic control among patients with type 2 diabetes (T2DM) in China. This study aimed to explore both organisational and individual characteristics associated with glycaemic control among patients with T2DM. DESIGN: Cross-sectional survey. SETTING: Shandong Province, China. PARTICIPANTS: The participants were 2166 patients with T2DM and 337 healthcare providers from 36 urban communities and 36 rural villages in Shandong Province. PRIMARY AND SECONDARY OUTCOME MEASURES: Multistage stratified sampling procedures were used to measure demand-side individual demographic, clinical and self-management characteristics, and supply-side organisational characteristics, and the status of glycaemic control. Multilevel logistic regression analysis was performed to assess key determinants of glycaemic control. RESULTS: Only 42.8% of the patients with T2DM achieved good glycaemic control. Age, income, hypertension and self-efficacy were significantly positive predictors of optimal glycaemic control, while duration of diabetes, antidiabetic drugs and monitoring of blood glucose were significantly negative predictors of that. Private VCs (OR=0.48, 95% CI 0.29 to 0.82, p<0.01) and lack of healthcare providers (OR=0.69, 95% CI 0.53 to 0.89, p<0.01; OR=0.71, 95% CI 0.52 to 0.98, p<0.05) were significantly negative predictors of optimal glycaemic control, while diabetes knowledge level of healthcare providers (OR=1.36, 95% CI 1.02 to 1.83, p<0.05; OR=1.45, 95% CI 1.00 to 2.10, p<0.05) and kinds of antidiabetic drugs (OR=1.37, 95% CI 0.97 to 1.93, p<0.1; OR=1.46, 95% CI 1.07 to 2.00, p<0.05) were significantly positive predictors of that. CONCLUSIONS: Glycaemic control was suboptimal among patients with T2DM in China. The determinants of failing to achieve good glycaemic control included both organisational and individual characteristics. Potential interventions that target patients, providers and the healthcare organisations should be taken to improve the glycaemic control and health outcome among patients with T2DM. BMJ Publishing Group 2020-04-06 /pmc/articles/PMC7245415/ /pubmed/32265251 http://dx.doi.org/10.1136/bmjopen-2019-036331 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Diabetes and Endocrinology
Wang, Haipeng
Yao, Jingjing
Yin, Xiao
Guo, Xiaolei
Yin, Jia
Qu, Haiyan
Sun, Qiang
Organisational and individual characteristics associated with glycaemic control among patients with type 2 diabetes: cross-sectional study in China
title Organisational and individual characteristics associated with glycaemic control among patients with type 2 diabetes: cross-sectional study in China
title_full Organisational and individual characteristics associated with glycaemic control among patients with type 2 diabetes: cross-sectional study in China
title_fullStr Organisational and individual characteristics associated with glycaemic control among patients with type 2 diabetes: cross-sectional study in China
title_full_unstemmed Organisational and individual characteristics associated with glycaemic control among patients with type 2 diabetes: cross-sectional study in China
title_short Organisational and individual characteristics associated with glycaemic control among patients with type 2 diabetes: cross-sectional study in China
title_sort organisational and individual characteristics associated with glycaemic control among patients with type 2 diabetes: cross-sectional study in china
topic Diabetes and Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7245415/
https://www.ncbi.nlm.nih.gov/pubmed/32265251
http://dx.doi.org/10.1136/bmjopen-2019-036331
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