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A Decision-Support Software to Improve the Standard Care in Chinese Type 2 Diabetes

BACKGROUND: To develop a decision-support software according to the Chinese Diabetes Society guideline in order to improve the standard care in type 2 diabetes. METHODS: Firstly, we developed a decision-support software for healthcare professionals. It was an independent software on a tablet to reco...

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Autores principales: Luo, Yingying, Zhu, Yongzan, Chen, Jing, Gao, Xueying, Yang, Wenjia, Zou, Xiantong, Zhou, Xianghai, Ji, Linong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881560/
https://www.ncbi.nlm.nih.gov/pubmed/31828162
http://dx.doi.org/10.1155/2019/5491743
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author Luo, Yingying
Zhu, Yongzan
Chen, Jing
Gao, Xueying
Yang, Wenjia
Zou, Xiantong
Zhou, Xianghai
Ji, Linong
author_facet Luo, Yingying
Zhu, Yongzan
Chen, Jing
Gao, Xueying
Yang, Wenjia
Zou, Xiantong
Zhou, Xianghai
Ji, Linong
author_sort Luo, Yingying
collection PubMed
description BACKGROUND: To develop a decision-support software according to the Chinese Diabetes Society guideline in order to improve the standard care in type 2 diabetes. METHODS: Firstly, we developed a decision-support software for healthcare professionals. It was an independent software on a tablet to record the data of patients and treatments given by their physicians. A major function of the software was to remind doctors when and how they should implement the standard care as recommended by the Chinese Diabetes Society guideline. Secondly, we compared the baseline data of standard care including statin and aspirin usage with data from a previous “3B study” to see whether there was an improvement of these standard cares. Finally, we further compared the data during four quarters of the whole year to evaluate whether there was a continuous improvement. RESULTS: During the first quarter, 27,291 cases and 27,352 cases were collected with complete information about statin and aspirin usage, respectively. The percentage of patients treated with statins and aspirin in our study was significantly higher than that reported in the 3B study (59.6% vs. 19.9% and 59.8% vs. 18.5%, P < 0.001). There were no significant differences among the four quarters for the percentage of the patients who were taking statin or aspirin (P > 0.05). CONCLUSION: Our decision-support software has been shown to be effective in continuously improving the standardization of comprehensive treatment in type 2 diabetes.
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spelling pubmed-68815602019-12-11 A Decision-Support Software to Improve the Standard Care in Chinese Type 2 Diabetes Luo, Yingying Zhu, Yongzan Chen, Jing Gao, Xueying Yang, Wenjia Zou, Xiantong Zhou, Xianghai Ji, Linong J Diabetes Res Research Article BACKGROUND: To develop a decision-support software according to the Chinese Diabetes Society guideline in order to improve the standard care in type 2 diabetes. METHODS: Firstly, we developed a decision-support software for healthcare professionals. It was an independent software on a tablet to record the data of patients and treatments given by their physicians. A major function of the software was to remind doctors when and how they should implement the standard care as recommended by the Chinese Diabetes Society guideline. Secondly, we compared the baseline data of standard care including statin and aspirin usage with data from a previous “3B study” to see whether there was an improvement of these standard cares. Finally, we further compared the data during four quarters of the whole year to evaluate whether there was a continuous improvement. RESULTS: During the first quarter, 27,291 cases and 27,352 cases were collected with complete information about statin and aspirin usage, respectively. The percentage of patients treated with statins and aspirin in our study was significantly higher than that reported in the 3B study (59.6% vs. 19.9% and 59.8% vs. 18.5%, P < 0.001). There were no significant differences among the four quarters for the percentage of the patients who were taking statin or aspirin (P > 0.05). CONCLUSION: Our decision-support software has been shown to be effective in continuously improving the standardization of comprehensive treatment in type 2 diabetes. Hindawi 2019-11-11 /pmc/articles/PMC6881560/ /pubmed/31828162 http://dx.doi.org/10.1155/2019/5491743 Text en Copyright © 2019 Yingying Luo et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Luo, Yingying
Zhu, Yongzan
Chen, Jing
Gao, Xueying
Yang, Wenjia
Zou, Xiantong
Zhou, Xianghai
Ji, Linong
A Decision-Support Software to Improve the Standard Care in Chinese Type 2 Diabetes
title A Decision-Support Software to Improve the Standard Care in Chinese Type 2 Diabetes
title_full A Decision-Support Software to Improve the Standard Care in Chinese Type 2 Diabetes
title_fullStr A Decision-Support Software to Improve the Standard Care in Chinese Type 2 Diabetes
title_full_unstemmed A Decision-Support Software to Improve the Standard Care in Chinese Type 2 Diabetes
title_short A Decision-Support Software to Improve the Standard Care in Chinese Type 2 Diabetes
title_sort decision-support software to improve the standard care in chinese type 2 diabetes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881560/
https://www.ncbi.nlm.nih.gov/pubmed/31828162
http://dx.doi.org/10.1155/2019/5491743
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