Intelligent Internet-based information system optimises diabetes mellitus management in communities

Wei, Xuejuan; Wu, Hao; Cui, Shijun; Ge, Chutian; Wang, Li; Jia, Hongyan; Liang, Wei

doi:10.1177/1833358317697717

Cited by 6 publications

(7 citation statements)

References 16 publications

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“…Diabetes, hypertension and heart disease are most common and are often comorbid in most community health service centers in China. Our study found that by applying the intelligent chronic disease management system, the standardized management rate of blood glucose and blood lipids, as well as levels of TC, and HDL-C improved significantly, findings which are consistent with previous reports [ 13 – 16 ]. These previous reports suggested that application of such systems improve the clinical outcome of patients withT2DM.…”

Section: Discussionsupporting

confidence: 93%

“…These previous reports suggested that application of such systems improve the clinical outcome of patients withT2DM. This improvement in clinical outcome may be attributed to increased efficiency, enhanced cooperation, and greater interaction between doctors and patients, as well as better performance evaluations [ 8 , 16 ]. This novel intelligent chronic disease management system is guided by providing real time monitoring and early warning feedback to ensure early diagnosis and early intervention for patients with T2DM.…”

Section: Discussionmentioning

confidence: 99%

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Impact of an intelligent chronic disease management system on patients with type 2 diabetes mellitus in a Beijing community

Wei

et al. 2018

BMC Health Serv Res

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BackgroundRapid demographic and economic changes have made chronic disease the number one health issue in China, contributing to more than 80% of the country’s 10.3 million annual deaths and nearly 70% of its total disease burden (Wang et al., Toward a Healthy and Harmonious Life in China: Stemming the Rising Tide of Non-Communicable Diseases, 2011; Yip and Hsiao, Lancet 384: 805-18, 2014). Diabetes is a major contributor to the chronic disease burden and is experienced by nearly 11% of the adult population of China (Yang et al., N Engl J Med 362:1090-101, 2010).In response to the challenges of chronic disease, the Chinese government initiated comprehensive health care reforms nationwide in 2009. A key measure was a hierarchical diagnosis and treatment system for monitoring and reducing chronic diseases and improving the community health service system (Barber et al., Health Policy Plan 29:367-78, 2014). Primary hospitals, such as community health service centers, are the main gatekeepers for management of diabetes and other chronic diseasesin China. In recognition of the need for a more patient-centered approach, the Chinese government has piloted a program incorporating methods of diabetes self-management for chronic care: the Happy Life Club (Browning et al., Front in Public Health 2:181, 2015). This program is modeled on a similar program developed in Australia (Kelly et al., Aust J Prim Health 9:186-9, 2003). The ICDMS is an important tool in the implementation of patient-centered programs targeting chronic health issues, and its success is determined by factors, such as frequent contact between patients and doctors and effective website training for patients.This retrospective study used de-identified data from the Fangzhuang (Beijing) intelligent chronic disease management system (ICDMS) database to evaluate the effect of an intelligent chronic disease management system on selected Beijing community patients who have type 2 diabetes mellitus (T2DM).MethodsA comparative study before and after ICDMS implementation was performed to evaluate the effect of ICDMS on the rates of follow-up and laboratory examinations, measurement rates of blood glucose and lipids, glycosylated hemoglobin (HbA1c) and blood lipid levels, as well as the corresponding health parameters. Continuous variables and categorical variables were analyzed using paired t-test and McNemar’s tests, respectively.ResultsA total of 2451 T2DM patients met inclusion/exclusion criteria. Compared with the pre-index period, the laboratory examination, rates of blood glucose and blood lipids increased significantly in the post-index period (p < 0.001). Triglyceride (TC) levels decreased significantly from 5.22 mmol/L to 5.11 mmol/L (p < 0.05), and high density lipoprotein-cholesterol (HDL-C) levels increased significantly from 1.35 mmol/L to 1.48 mmol/L (p < 0.05). The control rate of TC increased from 24.86 to 29.76% (p = 0.079). The control rate of low density lipoprotein-cholesterol (LDL-C) increased from 12.16 to 13.97% (p = 0.421), while the control...

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Impact of an intelligent chronic disease management system on patients with type 2 diabetes mellitus in a Beijing community

Wei

et al. 2018

BMC Health Serv Res

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“…As technology advances, it is becoming more and more common for individuals to use the internet or mobile phones to search for relevant health information. Internet transmission of diabetes information in China is mainly based on the websites related to diabetes or health 24. From 2009 to 2015, the internet penetration rate in rural China was relatively stable, with the number of elderly internet users over 60 years old rising from below 1% to 4% 25.…”

Section: Discussionmentioning

confidence: 99%

Status and influencing factors of diabetes information acquisition among rural elderly with pre-diabetes in Yiyang City, China: a cross-sectional study

Zhu

2019

BMJ Open

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ObjectiveThis study was designed to investigate the status of diabetes information acquisition and its influencing factors among patients, 60 years and older, with pre-diabetes in rural China.DesignThis is a cross-sectional study.SettingThe survey was conducted in 42 rural communities in Yiyang City, Hunan Province, China.ParticipantsA total of 461 elderly with pre-diabetes participated in this study, and 434 of them completed the survey (434/461, 94.1%).Outcome measuresInformation on sociodemographic and diabetic information-seeking behaviours were assessed through the structured questionnaires and described by percentages, mean±SD. The influencing factors of diabetes information acquisition were analysed using multiple linear regression analysis.ResultsThe average score of diabetes information acquisition in the subjects was 8.39±11.28. The most popular and trusted source of diabetes information for the subjects was doctors. The level of information acquisition not only declined as the age progressed (95% CI −3.754 to −0.143) but also proved lowest among subjects with less than 1 year of education (95% CI 0.756 to 4.326). In addition, the level of information acquisition among elderly individuals with pre-diabetes, but with no history of hyperglycaemia, was lower than among those with a history of hyperglycaemia (95% CI 3.398 to 11.945).ConclusionsThese data indicated that the lack of ability to acquire diabetes information in elderly with pre-diabetes was common in rural China. Improving the ability of rural residents to access information should be incorporated into rural diabetes prevention efforts, especially for the elderly with pre-diabetes with low education and no history of hyperglycaemia.Trial registration numberChiCTR-IOR-15007033; Pre-results.

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“…In fact, previous studies have shown that Internet-based information, when used properly, can improve medical management of chronic disease at home. 17,18 As health care providers, it is important to be aware of the online information available to patients related to Ménière’s disease in order to direct patients to the most reliable sources. To promote such awareness, this study analyzes the reliability, quality, and readability of the top online search results with a comparison based on the source of the website.…”

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confidence: 99%

A Critical Analysis of the Information Available Online for Ménière’s Disease

Bojrab

Fritz

Babu

et al. 2020

Otolaryngol.--head neck surg.

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Objective Patients increasingly rely on online resources for medical information; however, the Internet is unregulated and prone to misinformation. This study analyzes the reliability, quality, and readability of websites for Ménière’s disease. Study Design A Google search was performed using keywords Ménière’s disease. The first 5 pages (50 results) were reviewed. Websites were sorted into 5 categories: academic institutions, government agencies, professional organizations, medical information websites, and miscellaneous. The reliability, quality, and readability of each website were evaluated using the DISCERN instrument and Flesch-Kincaid Grade Level (FKGL). DISCERN assesses reliability and quality by scoring 15 questions on a scale from 1 (low) to 3 (high). The reliability score emphasizes clear objectives and sources, as well as lack of bias, whereas the quality score emphasizes information on treatment options. The FKGL of each website was calculated using a formula to determine the equivalent US grade reading level. Setting Ambulatory. Subjects None. Results Forty-two websites were analyzed. Academic institutions were the most common (n = 13, 31%) but scored the lowest using DISCERN at 1.75 ± 0.13. Medical information websites scored highest at 2.24 ± 0.09 ( P = .024 compared to academic institutions). The average FKGL of all websites was 10.12 ± 0.57 with medical information websites being the easiest to read at 8.84 ± 0.83. Only 5 (13%) of websites scored below the eighth-grade reading level. Conclusions Most top online search results for Ménière’s disease are deficient in quality and readability. Medical information websites are generally the most reliable and easy to read.

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Intelligent Internet-based information system optimises diabetes mellitus management in communities

Cited by 6 publications

References 16 publications

Impact of an intelligent chronic disease management system on patients with type 2 diabetes mellitus in a Beijing community

Impact of an intelligent chronic disease management system on patients with type 2 diabetes mellitus in a Beijing community

Status and influencing factors of diabetes information acquisition among rural elderly with pre-diabetes in Yiyang City, China: a cross-sectional study

A Critical Analysis of the Information Available Online for Ménière’s Disease

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