See the published version of this article at BMC Public Health.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Health information needs regarding diabetes mellitus in China: an Internet-based analysis
Hao Tian Wang
Zhongshan Hospital Fudan University
Corresponding Author
ORCiD: https://orcid.org/0000-0002-4361-223X
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published version at BMC Public Health.
Background Today, most people use the Internet to seek online health-related information from general public health-related websites and discussion groups .However, there are no Internet-based analyses of health information needs pertaining to diabetes in China until now. with the development of artificial intelligence,we can analyzed these online health-related information and provide references for health providers to improve their health service.
Methods we have done a study of statistically analyzing the questions about diabetes collected from 39 health website, the number of which is 151,589. We have divided these questions into 9 categories using a convolutional neural network
Results The diabetes problems of consumer are presented as follows, diagnosis: 34.95%, treatment: 25.17%, lifestyle: 21.09%, complication: 8.00%, maternity-related:5.00%, prognosis: 2.59%, health provider choosing: 1.40%, prevention: 1.23%, others: 0.58%, The elderly are more concerned about the treatment and complications of diabetes, while the young are more concerned about the maternity-related and prognosis of diabetes.The diabetes drugs most frequently mentioned by consumers are insulin, metformin and Xiaoke pills，The most concerned complication is caidiovascular disease and diabetic eye disease.
Conclusion Diabetes health education should focus on how to prevent diabetes and the contents of health education should be different for differernt age groups;on diabetes treatment, the use of insulin and oral hypoglycemic drugs education should be strengthened.
Keywords
Machine Learning, Diabetes Mellitus, Question Classification, Consumer health information, Health problem
Figure 1
Figure 2
Figure 3
Figure 4
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
Version 2
Posted 18 May, 2020
No comments provided
Review #2 received
Received 21 Apr, 2020
Editorial decision: Minor revision
On 21 Apr, 2020
Reviewer #2 agreed
On 01 Apr, 2020
Review #1 received
Received 18 Mar, 2020
Reviewer #1 agreed
On 27 Jan, 2020
Reviewers invited
Invitations sent on 28 Nov, 2019
Editor assigned
On 23 Nov, 2019
Submission checks complete
On 21 Nov, 2019
Editor invited
On 21 Nov, 2019
First submitted
On 15 Nov, 2019
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Learn more about our company.
This preprint is under consideration at BMC Public Health. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Health information needs regarding diabetes mellitus in China: an Internet-based analysis
Hao Tian Wang
Zhongshan Hospital Fudan University
Corresponding Author
ORCiD: https://orcid.org/0000-0002-4361-223X
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
Version 2
Posted 18 May, 2020
No comments provided
Review #2 received
Received 21 Apr, 2020
Editorial decision: Minor revision
On 21 Apr, 2020
Reviewer #2 agreed
On 01 Apr, 2020
Review #1 received
Received 18 Mar, 2020
Reviewer #1 agreed
On 27 Jan, 2020
Reviewers invited
Invitations sent on 28 Nov, 2019
Editor assigned
On 23 Nov, 2019
Submission checks complete
On 21 Nov, 2019
Editor invited
On 21 Nov, 2019
First submitted
On 15 Nov, 2019
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published version at BMC Public Health.
Background Today, most people use the Internet to seek online health-related information from general public health-related websites and discussion groups .However, there are no Internet-based analyses of health information needs pertaining to diabetes in China until now. with the development of artificial intelligence,we can analyzed these online health-related information and provide references for health providers to improve their health service.
Methods we have done a study of statistically analyzing the questions about diabetes collected from 39 health website, the number of which is 151,589. We have divided these questions into 9 categories using a convolutional neural network
Results The diabetes problems of consumer are presented as follows, diagnosis: 34.95%, treatment: 25.17%, lifestyle: 21.09%, complication: 8.00%, maternity-related:5.00%, prognosis: 2.59%, health provider choosing: 1.40%, prevention: 1.23%, others: 0.58%, The elderly are more concerned about the treatment and complications of diabetes, while the young are more concerned about the maternity-related and prognosis of diabetes.The diabetes drugs most frequently mentioned by consumers are insulin, metformin and Xiaoke pills，The most concerned complication is caidiovascular disease and diabetic eye disease.
Conclusion Diabetes health education should focus on how to prevent diabetes and the contents of health education should be different for differernt age groups;on diabetes treatment, the use of insulin and oral hypoglycemic drugs education should be strengthened.
Figure 1
Figure 2
Figure 3
Figure 4