Mobile Phone–Based Telemedicine Practice in Older Chinese Patients with Type 2 Diabetes Mellitus: Randomized Controlled Trial

Sun, Chenglin; Sun, Lirong; Xi, Shugang; Zhang, Hong; Wang, Huan; Feng, Yan; Deng, Yufeng; Wang, Haimin; Xiao, Xianchao; Wang, Gang; Gao, Yuan; Wang, Guixia

doi:10.2196/10664

Cited by 96 publications

(114 citation statements)

References 30 publications

(36 reference statements)

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“…The duration of mobile app interventions varied from 3 to 12 months. Most studies were conducted in American or European countries and only five in Asian countries .…”

Section: Resultsmentioning

confidence: 99%

“…Of the 1,741 unique relevant studies retrieved, a total of 14 RCTs were included in this meta-analysis upon the exclusion of 1,727 studies with the reasons listed in Figure 1 (9)(10)(11)(12)(13)(14)(15)(16)(17)(24)(25)(26)(27)(28). Specifically, one study was excluded because it was an ad interim report (29), and another was excluded because of inconsistent results on BW and BMI (30).…”

Section: Main Characteristics Of Included Studiesmentioning

confidence: 99%

“…Characteristics of the 14 RCTs that enrolled 2,129 patients with type 2 diabetes are summarized in (9)(10)(11)(12)(13)(14)17,26,27) and only five in Asian countries (15,16,24,25,28).…”

Section: Main Characteristics Of Included Studiesmentioning

confidence: 99%

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Mobile Application Interventions and Weight Loss in Type 2 Diabetes: A Meta‐Analysis

Cai

Qiu

Luo

et al. 2020

Obesity

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Objective This meta‐analysis aimed to assess the effect of mobile application (app) interventions on weight loss in patients with type 2 diabetes. Methods Electronic databases were searched for randomized controlled trials examining the use of mobile app interventions with outcomes on weight loss evaluated by body weight or other measures such as BMI or waist circumference. A random‐effects model was applied to obtain weight mean differences and 95% CIs. Results Fourteen studies enrolling 2,129 patients with type 2 diabetes were included. Mobile app interventions could significantly reduce body weight (weight mean difference, −0.84 kg; 95% CI: −1.51 to −0.17 kg) and lower waist circumference (−1.35 cm; 95% CI: −2.16 to −0.55 cm) but may not decrease BMI (−0.08 kg/m2; 95% CI: −0.41 to 0.25 kg/m2). The reductions appeared to be more pronounced in patients with obesity or among studies using mobile app interventions combined with other behavior components. However, weight loss was not moderated by the functionalities of the mobile apps (all Pinteraction > 0.05) or by the intervention duration (all P > 0.87). Conclusions Mobile app interventions lead to weight loss in patients with type 2 diabetes and are worth recommending for weight loss promotion.

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“…The duration of mobile app interventions varied from 3 to 12 months. Most studies were conducted in American or European countries and only five in Asian countries .…”

Section: Resultsmentioning

confidence: 99%

Section: Main Characteristics Of Included Studiesmentioning

confidence: 99%

See 1 more Smart Citation

Mobile Application Interventions and Weight Loss in Type 2 Diabetes: A Meta‐Analysis

Cai

Qiu

Luo

et al. 2020

Obesity

View full text Add to dashboard Cite

show abstract

“…Using an mHealth system with advice regarding behavioral and motivational messages, a tracking health app, a Bluetooth device (eg. glucometer) and a web-platform can improve the management and education in their own home [19,26,33,35,43]. The benefits of digital intervention can reduce the frequency of failed contact with patients, and they also have the potential to enhance work practice patterns and health service delivery for clinicians and patients in diabetes management [4].…”

Section: Uc Vs Mhealth Interventionmentioning

confidence: 99%

Digital Healthcare Intervention to Improve Self-Management for Patients with Type 2 Diabetes: A Scoping Review

Villalobos

Vela²,

Hernandez

2020

Journal of Scientific Innovation in Medicine

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Nowadays, diabetes is considered to be one of the major health emergencies worldwide. Products and services for diabetes management have been evolving into digital platforms and tools. We conducted a scoping review on intervention research to identify the benefits, barriers and limitations during the intervention. Our research identified 115 studies that were relevant for the study using the keyword research strategy; 25 met our inclusion criteria. These studies focus on the communication between health professionals and their patients; and self-care behavioral changes caused by using digital tools such as mobile-phones, apps, web-portals and Bluetooth devices to keep track of the patient's health data. The benefits of using eHealth systems are: raising awareness among patients, tracking their health data, and acquiring self-care behaviors alongside the health professional and family members. Future research needs to improve the user experience avoiding the identified barriers like frustration technology, lack of face-to-face intervention and low health literacy to prevent patients from abandoning the intervention.

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“…The COVID-19 outbreak also shaped the landscape of follow-ups and shifted it somehow toward telemedicine. In recent years, with the rapid development of modern communication technologies, telemedicine started to gain popularity among medical specialties [11][12][13]. Our patients were not intensive telemedicine users; however, our study indicated the necessity of promoting telemedicine, especially for patients who needed frequent monitoring and medicine adjustments.…”

Section: Discussionmentioning

confidence: 71%

When the COVID-19 pandemic changed the follow-up landscape of chronic kidney disease: a survey of real-world nephrology practice

et al. 2020

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Background: Patients with chronic kidney disease (CKD) require specialized management. However, the current situation of CKD management is unclear during the coronavirus disease 2019 (COVID-19) pandemic. We aimed to investigate the influence of the COVID-19 on kidney patients' follow-ups. Methods: In April 2020, we included patients who underwent kidney biopsy from January 2017 to December 2019 in a referral center of China, and then initiated a survey via telephone on different aspects of follow-up during the COVID-19 pandemic. We collected and analyzed demographic data, diagnoses, follow-up conditions, and telemedicine experience. Results: We reached 1190 CKD patients with confirmed kidney biopsies, and included 1164 patients for analysis after excluding those on dialysis. None of our patients have had COVID-19, although more than 50% of them were complicated with other comorbidities, and over 40% were currently using immunosuppressive treatments. Face-to-face clinic visits were interrupted in 836 (71.82%) participants. Medicine adjustments and routine laboratory examinations were delayed or made irregular in about 60% of patients. To continue their follow-ups, 255 (21.90%) patients utilized telemedicine, and about 80% of them were satisfied with the experience. The proportion of telemedicine users was significantly higher in patients with immunosuppressive treatments than those without (31.88% vs. 17.12%, p < 0.001). Conclusion: The risk of COVID-19 was mitigated in patients with CKD and other co-existing risk factors when proper protection was utilized. The routine medical care was disrupted during the pandemic, and telemedicine could be a reasonable alternative method.

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Mobile Phone–Based Telemedicine Practice in Older Chinese Patients with Type 2 Diabetes Mellitus: Randomized Controlled Trial

Cited by 96 publications

References 30 publications

Mobile Application Interventions and Weight Loss in Type 2 Diabetes: A Meta‐Analysis

Mobile Application Interventions and Weight Loss in Type 2 Diabetes: A Meta‐Analysis

Digital Healthcare Intervention to Improve Self-Management for Patients with Type 2 Diabetes: A Scoping Review

When the COVID-19 pandemic changed the follow-up landscape of chronic kidney disease: a survey of real-world nephrology practice

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