Patient compliance and satisfaction using web-based glucose monitoring for the management of pregnant women with pregestational diabetes

2021 ◽  
pp. 1-6
Author(s):  
Emma Qureshey ◽  
Meredith Rochon ◽  
Helai Hesham ◽  
Joshua Cohen ◽  
Jennifer MacFarlan ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Patient Compliance ◽  
Glucose Monitoring ◽  
Pregestational Diabetes ◽  
Web Based

Abstract #1203 Web-Based Glucose Monitoring Using the Telcare Wireless System for the Management of Pregnant Women with Pregestational Diabetes

2018 ◽  
Vol 24 ◽  
pp. 304-305
Author(s):  
Marc Vengrove ◽  
Emma Qureshey ◽  
Helai Hesham ◽  
Joshua Cohen ◽  
Meredith Rochon ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Glucose Monitoring ◽  
Wireless System ◽  
Pregestational Diabetes ◽  
Web Based

scholarly journals An Interactive Web Application for the Statistical Analysis of Continuous Glucose Monitoring Data in Epidemiological Studies

2021 ◽  
pp. 193229682098557
Author(s):  
Alysha M. De Livera ◽  
Jonathan E. Shaw ◽  
Neale Cohen ◽  
Anne Reutens ◽  
Agus Salim
Keyword(s):  
Continuous Glucose Monitoring ◽  
Web Application ◽  
Diabetes Management ◽  
Glucose Monitoring ◽  
Epidemiological Studies ◽  
Interactive Software ◽  
Web Based ◽  
Software Applications ◽  
Visualization Of Data ◽  
User Friendly

Motivation: Continuous glucose monitoring (CGM) systems are an essential part of novel technology in diabetes management and care. CGM studies have become increasingly popular among researchers, healthcare professionals, and people with diabetes due to the large amount of useful information that can be collected using CGM systems. The analysis of the data from these studies for research purposes, however, remains a challenge due to the characteristics and large volume of the data. Results: Currently, there are no publicly available interactive software applications that can perform statistical analyses and visualization of data from CGM studies. With the rapidly increasing popularity of CGM studies, such an application is becoming necessary for anyone who works with these large CGM datasets, in particular for those with little background in programming or statistics. CGMStatsAnalyser is a publicly available, user-friendly, web-based application, which can be used to interactively visualize, summarize, and statistically analyze voluminous and complex CGM datasets together with the subject characteristics with ease.

scholarly journals Online Pregnancy-Related Information: Reliability and Worries Among Expectant Women In Qatar

2021 ◽  
Author(s):  
Ayman Al-Dahshan ◽  
Mohamad Chehab ◽  
Nagah Selim
Keyword(s):  
Antenatal Care ◽  
Pregnant Women ◽  
Sampling Technique ◽  
Cross Sectional Study ◽  
Care Providers ◽  
Cross Sectional ◽  
Web Based ◽  
Related Information ◽  
University Degree ◽  
Self Administered Questionnaire

Abstract Background: Although the internet can be a source of reassurance and clarification for expectant women, it ‎could cause concerns or feelings of worry when reading about pregnancy-related ‎information. The current research sought to assess the feelings of worry and perceived reliability towards online pregnancy-related information and the associated factors among expectant women attending antenatal clinics at primary healthcare centers in Qatar.Methods: A cross-sectional study design was employed. The participants were recruited through a systematic random sampling technique. ‎A self-administered questionnaire was used to collect data from the participants. Descriptive and analytic statistics were used when appropriate‎.Results: A total of 327 expecting women completed the questionnaire. Most participants were aged between 26-34 years (74.1%), held a college/university degree (76.4%), and multigravidas (73.1%). About one-third of the women ‎(31.2‎%) reported feeling worried due to something they read online. The participants coped with these feelings by consulting their antenatal care provider at the next appointment (51.0%) or by talking with relatives and friends (47.0%). Furthermore, most women (79.2%) considered online pregnancy-related information to be reliable or highly reliable. Holding a college/university degree, primigravidae, and having no children were factors significantly associated with a high perception of reliability of online health information.Conclusion: Although online pregnancy information caused feelings of worry for some pregnant ‎women, most women perceived such information to be reliable. Thus, antenatal care providers should be equipped to guide pregnant women on how to access high-quality web-based information.

scholarly journals Diagnosa Preeklampsia pada Ibu Hamil Menggunakan Sistem Informasi Berbasis Web

2019 ◽  
Vol 2 (2) ◽  
pp. 18-27
Author(s):  
Fajaria Nur Aini ◽  
Melyana Nurul Widyawati ◽  
Bedjo Santoso
Keyword(s):  
Information System ◽  
Information Systems ◽  
Pregnant Women ◽  
Community Health Center ◽  
Intervention Group ◽  
Diagnostic System ◽  
Control Group ◽  
P Value ◽  
Web Based ◽  
Time Required

This study aims to produce a preeclampsia diagnostic system online and to determine the difference in the speed of time required to diagnose preeclampsia using a web-based information system with a manual system. This research method is to arrange a framework with a quasi experimental research design with a post test only with control group. This research was conducted at the Community Health Center. The results showed that the majority of respondents were healthy pregnant women namely in the intervention group of 20 pregnant women (30.30%) and in the control group of 15 pregnant women (22.73%). The smallest number of diagnoses is in the case of superimposed preeclampsia. Web-based information systems are also able to increase diagnostic speeds to 7.21%. Statistical test results using the Independent T-Test obtained a P-value of 0.041 <0.05 (α). Conclusion, there is a difference in the time of diagnosis of preeclampsia using a web-based information system with a manual system.   Keywords: Diagnosis, Preeclampsia, Information Systems, Web

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