A 3-Month Randomized Controlled Pilot Trial of a Patient-Centered, Computer-Based Self-Monitoring System for the Care of Type 2 Diabetes Mellitus and Hypertension

2016 ◽  
Vol 40 (4) ◽  
Author(s):  
Calvin Or ◽  
Da Tao
2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Xiang Tu ◽  
ChunGuang Xie ◽  
Fei Wang ◽  
Qiu Chen ◽  
ZhiHuang Zuo ◽  
...  

Background. “Fructus Mumeor Dark Plum” (pilule form) has been used for many years in Traditional Chinese Medicine (TCM) and may be a valid treatment for type 2 diabetes mellitus (T2DM).Aim. One aspect toward efficacy validation is the evaluation of the blood glucose-lowering effect ofFructus Mume(FM) with T2DM patients in a randomized controlled trial (RCT).Methods. This pilot study uses a RCT procedure to assess efficacy ofFMand Metformin. The trial was for 12 weeks, with 80 T2DM subjects. Both groups were standardized in their diet and exercise routine. Comparisons of several variables were analyzed.Results. No significant differences were found between groups in the fasting and postprandial glucose levels although both had significant decreases. The values of glycosylated hemoglobin were significantly reduced in both groups. For patients whose body mass index (BMI) was <23, neitherFMnor Metformin had an effect on BMI; for those with a BMI between 23 and 25 or the BMI was >25, bothFMand Metformin significantly reduce the BMI.Conclusions. In this pilot study, it was demonstrated thatFructus Mumeformula may reduce the levels of blood glucose in patients with type 2 diabetes.


2017 ◽  
Vol 25 (3) ◽  
pp. 828-843 ◽  
Author(s):  
Mian Yan ◽  
Calvin Or

This study tested a structural model examining the effects of perceived usefulness, perceived ease of use, attitude, subjective norm, perceived behavioral control, health consciousness, and application-specific self-efficacy on the acceptance (i.e. behavioral intention and actual usage) of a computer-based chronic disease self-monitoring system among patients with type 2 diabetes mellitus and/or hypertension. The model was tested using partial least squares structural equation modeling, with 119 observations that were obtained by pooling data across three time points over a 12-week period. The results indicate that all of the seven constructs examined had a significant total effect on behavioral intention and explained 74 percent of the variance. Also, application-specific self-efficacy and behavioral intention had a significant total effect on actual usage and explained 17 percent of the variance. This study demonstrates that technology acceptance is determined by patient characteristics, technology attributes, and social influences. Applying the findings may increase the likelihood of acceptance.


Sign in / Sign up

Export Citation Format

Share Document