Patient and health professional’s perception of available mobile applications (app) for managing gestational diabetes mellitus (GDM) (Preprint)

2020 ◽  
Author(s):  
Mingshuang Ding
Keyword(s):  
Gestational Diabetes ◽  
Health Professional ◽  
Mobile Applications ◽  
Mobile Apps ◽  
Post Partum ◽  
Final Analysis ◽  
Blood Glucose Monitoring ◽  
Cochrane Library ◽  
Dietary Advice ◽  
Maternal Risk

BACKGROUND Gestational diabetes mellites (GDM) is a type of diabetes that commonly occur in the second part of the pregnancy and usually goes away once the baby is born. Maternal risk associated with GDM are pre-eclampsia, caesarean delivery, perineal trauma, post-partum haemorrhage and delayed breastfeeding. Possible neonatal risk also included macrosomia growth restriction, birth injuries, respiratory distress, hypoglycaemia and jaundice. Dietary advice and blood glucose monitoring and glucose-lowering therapy should be offered to diagnosed patients. The increasing ownership of mobile phones and advances in mobile applications (apps) provide an innovative personalised management among women with GDM. Numerous mobile phone apps are available for women to gain access via app stores, however to our knowledge, no review has documented both health professional and patient’s perception of those apps. The use of telemedicine was convincingly shown to result in better glucose control, but reduced costs to the health system or patients, and patient or health-carer acceptability were not clearly demonstrated due to limited data. OBJECTIVE This review was aimed to discover patient and health professional’s perception of mobile apps available for managing GDM via both app stores and 5 relevant electronic databases. METHODS Two separate searches were conducted, i.e. app stores (iTunes and Google Play store), electronic databases CINAHL, Cochrane library, Medline, PsycINFO and PubMed using major key words: patient, health professional, perception, mobile application and gestational diabetes. RESULTS Seven studies were included in the final analysis. We categorised articles under two themes: 1) patient’s experiences of available mobile apps focused on GDM and 2) health professional’s feedback on mobile apps focused on GDM. Only two studies focused on both patient and health professional’s perception on mobile apps to manage GDM. CONCLUSIONS There is a limited body of research on mobile apps in relation to both patient and health professional’s perception of GDM management. Mobile apps can be an effective way to manage GDM, but apps should not be restricted to collecting and providing information only. Collected data should be shared as a communication platform for both patients and health professional to be utilised as an active tool to update GDM treatment plans. CLINICALTRIAL N/A

Patient and health professional’s perception of available mobile application (app) for managing gestational diabetes mellitus (GDM) (Preprint)

2020 ◽  
Author(s):  
Mingshuang Ding ◽  
Vidyashree Nallamad ◽  
Harry Wiffen
Keyword(s):  
Gestational Diabetes ◽  
Health Professional ◽  
Mobile Application ◽  
Mobile Apps ◽  
Post Partum ◽  
Final Analysis ◽  
Blood Glucose Monitoring ◽  
Cochrane Library ◽  
Dietary Advice ◽  
Maternal Risk

BACKGROUND Background: Gestational diabetes mellites (GDM) is a type of diabetes that commonly occur in the second part of the pregnancy and usually goes away once the baby is born. Maternal risk associated with GDM are pre-eclampsia, caesarean delivery, perineal trauma, post-partum haemorrhage and delayed breastfeeding. Possible neonatal risk also included macrosomia growth restriction, birth injuries, respiratory distress, hypoglycaemia and jaundice. Dietary advice and blood glucose monitoring and glucose-lowering therapy should be offered to diagnosed patients. The increasing ownership of mobile phones and advances in mobile applications (apps) provide an innovative personalised management among women with GDM. Numerous mobile phone apps are available for women to gain access via app stores, however to our knowledge, no review has documented both health professional and patient’s perception of those apps. The use of telemedicine was convincingly shown to result in better glucose control, but reduced costs to the health system or patients, and patient or health-carer acceptability were not clearly demonstrated due to limited data. OBJECTIVE Aim: This review was aimed to discover patient and health professional’s perception of mobile apps available for managing GDM via both app stores and 5 relevant electronic databases. METHODS Method: Two separate searches were conducted, i.e. app stores (iTunes and Google Play store), electronic databases CINAHL, Cochrane library, Medline, PsycINFO and PubMed using major key words: patient, health professional, perception, mobile application and gestational diabetes. RESULTS Result: Seven studies were included in the final analysis. We categorised articles under two themes: 1) patient’s experiences of available mobile apps focused on GDM and 2) health professional’s feedback on mobile apps focused on GDM. Only two studies focused on both patient and health professional’s perception on mobile apps to manage GDM. CONCLUSIONS Conclusion: There is a limited body of research on mobile apps in relation to both patient and health professional’s perception of GDM management. Mobile apps can be an effective way to manage GDM, but apps should not be restricted to collecting and providing information only. Collected data should be shared as a communication platform for both patients and health professional to be utilised as an active tool to update GDM treatment plans.

scholarly journals Application of Mobile Technology for Disease and Treatment Monitoring of Gestational Diabetes Mellitus Among Pregnant Women: A Systematic Review

2020 ◽  
pp. 193229682096557
Author(s):  
Nidhi Garg ◽  
Shaima K. A. ◽  
Sandeep Arora ◽  
Kiranjeet Kaur
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Patient Care ◽  
Pregnant Women ◽  
Research Question ◽  
Blood Glucose Monitoring ◽  
Cochrane Library ◽  
Care Providers

Background: Gestational diabetes mellitus (GDM) is an increasing health issue among pregnant women worldwide. Treatment of hyperglycemia during pregnancy improves outcomes for both mothers and infants. Effectively performing and reviewing self-monitoring of blood glucose is time-consuming for patients and care providers. In the modern era, most people having access to smartphones create opportunities for use of phone-based technologies to improve patient care in chronic diseases. This review aims to investigate the awareness and use of the smartphone application (app) with respect to management of GDM among pregnant women. Materials and Methods: Various relevant studies ( n = 522) from 3 databases named Pub Med, Cochrane Library, and Google Scholar were included. For this, the study involved designing of a 5-stage review framework, which included research question identification, identification of articles, article selection, data collection, and result reporting. Results: Initial search criteria used a combination of keywords, by which we found out 522 literatures from 3 databases. After screening the titles and abstracts, 249 articles were excluded due to duplicate literatures and 252 articles were excluded due to the following reasons: not relevant ( n = 172), editorial ( n = 43), not in English ( n = 7), and abstract only ( n = 30). Furthermore, 10 articles were excluded because apps such as MobiGuide, pregnant + app, and GDm health were not mentioned in these articles. A total of 11 articles were included for the final analysis. Conclusion: The mobile apps described in the present study (pregnant +, MobiGuide, and GDm health) provided personalized health care services, patient care improvement, and enhanced patient’s compliance toward blood glucose monitoring and treatment.

Applications for self-monitoring of gestational diabetes mellitus in pregnancy; part of the improvement of connected health in Europe (Preprint)

2019 ◽  
Author(s):  
Kristina Drusany Starič ◽  
Vladimir Trajkovik ◽  
Hrvoje Belani ◽  
Petra Bukovec
Keyword(s):  
Gestational Diabetes ◽  
Mobile Applications ◽  
Positive Impact ◽  
Mobile Apps ◽  
Rapid Development ◽  
Self Monitoring ◽  
Healthy Behaviors ◽  
Connected Health ◽  
Glucose Levels ◽  
Blood Glucose Levels

BACKGROUND The rapid development of mobile application technology and personalized medicine also in Europe, stimulate the self-monitoring. Self-monitoring allows the patient to actively participate in the treatment process, with a positive impact on the result of the treatment. Mobile applications thus offer a new way to promote healthy behaviors, such as healthy diet, physical activity and measurement of blood glucose levels in the care for women with gestational diabetes. However, there are many factors, which make significant barriers preventing wide use of mobile applications in general medical praxis. OBJECTIVE The main aim of this study is to evaluate the most commonly used mobile apps used to manage gestational diabetes and compare them to each other. METHODS This paper presents a study, which investigates the mobile applications that can potentially support controlling of the blood sugar in pregnant women. After a broad overview of mobile applications on the Google Play Store and iTunes, we found 90 mobile applications that fit our keywords search terms and our inclusion criteria. Among these 90 applications, only 4 were designed for the management of gestational diabetes and not diabetes in general. All 4 were downloaded and analysed. Among the rest 86 applications that were designed to manage diabetes in general we downloaded, evaluated and compared to each other 5 applications with the highest download rate. RESULTS The characteristics of the most commonly used applications were described. Differentiations between useful mobile applications were investigated. CONCLUSIONS Applications can provide support for women to act on a certain issue by themselves without visiting an obstetrician. Although most of the applications were very useful, we suggested improvements. The greatest policy concerns of connected health are quality, privacy and safety of the gathered data.

scholarly journals Mobile applications for road traffic health and safety in the mirror of the Haddon’s matrix

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hossein Aghayari ◽  
Leila R. Kalankesh ◽  
Homayoun Sadeghi-Bazargani ◽  
Mohammad-Reza Feizi-Derakhshi
Keyword(s):  
Traffic Safety ◽  
Mobile Applications ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Qualitative Content Analysis ◽  
Mobile Apps ◽  
Health And Safety ◽  
Final Analysis ◽  
Health Safety ◽  
The Road

Abstract Background Road traffic accidents have been one of the leading causes of death. Despite the increasing trend of road traffic apps, there is no comprehensive analysis of their features and no taxonomy for the apps based on traffic safety theories. This study aimed to explore the characteristics of available mobile apps on road traffic health/safety and classify them with emphasis on Haddon’s matrix. Methods The researchers examined the mobile applications related to road traffic health/safety using qualitative content analysis. Google Play was searched using a combination of the keywords. Haddon’s matrix was applied to analyze and classify those mobile apps residing in the categories of Road Traffic health & Safety, and Road Traffic Training. Results Overall, 913 mobile apps met the inclusion criteria and were included in the final analysis. Classification of the apps based on their features resulted in 4 categories and 21 subcategories. A total number of 657 mobile apps were classified based on Haddon’s matrix. About 45.67% of these apps were categorized as the road traffic health & safety group. Conclusions Haddon’s matrix appears to have the potential to reveal the strengths and weaknesses of existing mobile apps in the road traffic accident domain. Future development of mobile apps in this domain should take into account the existing gap.

scholarly journals Effectiveness and Usability of Digital Tools to Support Dietary Self-Management of Gestational Diabetes Mellitus: A Systematic Review

Nutrients ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 10
Author(s):  
Nurudeen Adesina ◽  
Huseyin Dogan ◽  
Sue Green ◽  
Fotini Tsofliou
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Digital Tools ◽  
Self Management ◽  
Cochrane Library ◽  
Dietary Advice ◽  
Dietary Management ◽  
Web Based

Advice on dietary intake is an essential first line intervention for the management of gestational diabetes mellitus (GDM). Digital tools such as web-based and smartphone apps have been suggested to provide a novel way of providing information on diet for optimal glucose regulation in women with GDM. This systematic review explores the effectiveness and usability of digital tools designed to support dietary self-management of GDM. A systematic search of Medline, Embase,Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Library, and Scopus using key search terms identified 1476 papers reporting research studies, of which 16 met the specified inclusion criteria. The quality of the included studies was assessed using the ErasmusAGE Quality Score or the Mixed Methods Appraisal Tool (MMAT) version 2018. The findings show that the adoption of digital tools may be an effective approach to support self-management relating to healthy diet, health behaviour, and adherence to therapy in women with GDM as a usable intervention. However, there is a lack of evidence concerning the effectiveness of tools to support the dietary management of GDM. Consideration for ethnic specific dietary advice and evidence-based frameworks in the development of effective digital tools for dietary management of GDM should be considered as these aspects have been limited in the studies reviewed.

scholarly journals A systematic review and meta-analysis of the association between vitamin D deficiency and gestational diabetes mellitus

2018 ◽  
Vol 5 (3) ◽  
pp. 2078-2095
Author(s):  
Shahin Nargesi ◽  
Ayub Ghorbani ◽  
Ehsan Shirzadpour ◽  
Mahmoud Mohamadpour ◽  
Seyedeh Fatemeh Mousavi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Vitamin D ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Vitamin D Deficiency ◽  
Meta Analysis ◽  
Final Analysis ◽  
Vitamin D Insufficiency ◽  
Cochrane Library ◽  
Pubmed Database

Introduction: Vitamin D deficiency has become quite prevalent and is known to cause a great many diseases. Numerous studies have investigated the association between vitamin D deficiency and gestational diabetes, and the results are somewhat contradictory. The present study deals with the relationship between the vitamin D deficiency and gestational diabetes. Methods: Two researchers made use of MeSH, Scopus, PubMed database, Science Direct, the Cochrane Library, the Web of Science, CINAHL, and Google Scholar search engines to identify qualified studies and articles carried out and published before August 2017 and reported the risk of gestational diabetes developing as a result of vitamin D deficiency. The association between the two conditions was measured using odds ratios (ORs) with 95% confidence intervals (CIs). Funnel plots, Egger’s, and Begg’s tests were also used to assess publication bias. All analysis was done by STATA (version 11.2). Results: Twenty-nine eligible studies with a total of 14,497 participants were included in the final analysis. Overall, maternal vitamin D insufficiency was significantly associated with a greater risk of gestational diabetes (OR = 1.15; 95% CI, 1.00-1.30; p<0.001). Serum 25OHD was significantly lower in participants with gestational diabetes mellitus than in those with natural glucose tolerance (−29.7 nmol/L, 95% CI, −36.6 to −22.8; p=0.000). Conclusion: According to the current meta-analysis results, vitamin D deficiency is correlated with the risk of gestational diabetes development.

Gestational diabetes mellitus: are mothers being followed-up? A retrospective study

2018 ◽  
Vol 68 (suppl 1) ◽  
pp. bjgp18X697469
Author(s):  
Rebecca Ward ◽  
Fahmy W Hanna ◽  
Ann Shelley-Hitchen ◽  
Ellen Hodgson ◽  
Adrian Heald ◽  
...  
Keyword(s):  
Gestational Diabetes ◽  
Median Time ◽  
Post Partum ◽  
Tolerance Test ◽  
Oral Glucose ◽  
Tertiary Referral Centre ◽  
Alternative Approach ◽  
Nice Guidance ◽  
History Of

BackgroundWomen with gestational diabetes (GDM) have an elevated risk of developing type 2 diabetes (T2DM). NICE Guidance recommends women who develop GDM are screened 6 weeks post-partum and annually thereafter.AimTo evaluate conformity to guidance of screening in women with GDM by 6-week post-partum fasting plasma glucose (FPG) and annual FPG and determine time between delivery and development of T2DM.MethodRecords at a tertiary referral centre were used to identify women (n = 54) diagnosed with GDM by antenatal oral glucose tolerance test between July 1999 and January 2007. Data from laboratory records were used to collect investigations of glycaemic status during the follow-up period (median follow-up 12.4 years, range 9.5–17.1 years).ResultsOf 252 women, 102 (40.2%) did not have a FPG at 6 weeks (+/−2 weeks). Of these, median time to first test was 1.2 years (range 0.04–10.8 years), with only 43.1% followed-up within 1 year. In those who had a 6-week FPG, 17 (11.3%) women had no further tests. A total of 84 (33% of those with gestational diabetes in the index pregnancy) women were diagnosed with T2DM; median time from delivery to diagnosis was 5.2 years (range 0.35–15.95). We found the only significant factor for a follow-up test at 1-year post-partum was the use of insulin.ConclusionOur data suggest an alternative approach is needed for monitoring women with a history of GDM. This needs to be appropriate for a generally healthy group in which traditional screening mechanisms may not be adequate or sufficient.

Study of Possible Relation between Fasting Plasma Glucagon, Gestational Diabetes and Development of Type 2 DM

2020 ◽  
Vol 16 (2) ◽  
pp. 148-155 ◽  
Author(s):  
Ashraf Okba ◽  
Salwa Seddik Hosny ◽  
Alyaa Elsherbeny ◽  
Manal Mohsin Kamal
Keyword(s):  
Gestational Diabetes ◽  
Pregnant Women ◽  
Post Partum ◽  
Plasma Glucagon ◽  
Type 2 Dm ◽  
Fasting Plasma ◽  
Before And After ◽  
Two Phases

Background and Aims: Women who develop GDM (gestational diabetes mellitus) have a relative insulin secretion deficiency, the severity of which may be predictive for later development of diabetes. This study aimed to investigate the role of fasting plasma glucagon in the prediction of later development of diabetes in pregnant women with GDM. Materials and Methods: The study was conducted on 150 pregnant women with GDM after giving informed oral and written consents and being approved by the research ethical committee according to the declaration of Helsinki. The study was conducted in two phases, first phase during pregnancy and the second one was 6 months post-partum, as we measured fasting plasma glucagon before and after delivery together with fasting and 2 hour post-prandial plasma sugar. Results: Our findings suggested that glucagon levels significantly increased after delivery in the majority 14/25 (56%) of GDM women who developed type 2 DM within 6 months after delivery compared to 6/20 (30%) patients with impaired fasting plasma glucose (IFG) and only 22/105 (20%) non DM women, as the median glucagon levels were 80,76, 55, respectively. Also, there was a high statistical difference between fasting plasma glucagon post-delivery among diabetic and non-diabetic women (p ≤ 0.001). These results indicated the useful role of assessing fasting plasma glucagon before and after delivery in patients with GDM to predict the possibility of type 2 DM. Conclusion: There is a relatively high glucagon level in GDM patients, which is a significant pathogenic factor in the incidence of subsequent diabetes in women with a history of GDM. This could be important in the design of follow-up programs for women with previous GDM.

Mobile Applications for Health Management of Older Adults: A Scoping Review (Preprint)

2020 ◽  
Author(s):  
Nurul Asilah Ahmad ◽  
Shahrul Azman Mohd Noah ◽  
Arimi Fitri Mat Ludin ◽  
Suzana Shahar ◽  
Noorlaili Mohd Tohit
Keyword(s):  
Older Adults ◽  
Goal Setting ◽  
Mobile Applications ◽  
Health Management ◽  
Mobile Apps ◽  
Personalized Feedback ◽  
Self Monitoring ◽  
App Store ◽  
Evidenced Based ◽  
Google Play

BACKGROUND Currently, the use of smartphones to deliver health-related content has experienced a rapid growth, with more than 165,000 mobile health (mHealth) applications currently available in the digital marketplace such as iOS store and Google Play. Among these, there are several mobile applications (mobile apps) that offer tools for disease prevention and management among older generations. These mobile apps could potentially promote health behaviors which will reduce or delay the onset of disease. However, no review to date that has focused on the app marketplace specific for older adults and little is known regarding its evidence-based quality towards the health of older adults. OBJECTIVE The aim of this review was to characterize and critically appraise the content and functionality of mobile apps that focuses on health management and/or healthy lifestyle among older adults. METHODS An electronic search was conducted between May 2019 to December 2019 of the official app store for two major smartphone operating systems: iPhone operating system (iTunes App Store) and Android (Google Play Store). Stores were searched separately using predetermined search terms. Two authors screened apps based on information provided in the app description. Metadata from all included apps were abstracted into a standard assessment criteria form. Evidenced based strategies and health care expert involvement of included apps was assessed. Evidenced based strategies included: self-monitoring, goal setting, physical activity support, healthy eating support, weight and/or health assessment, personalized feedback, motivational strategies, cognitive training and social support. Two authors verified the data with reference to the apps and downloaded app themselves. RESULTS A total of 16 apps met the inclusion criteria. Six out of 16 (37.5%) apps were designed exclusively for the iOS platform while ten out of 16 (62.5%) were designed for Android platform exclusively. Physical activity component was the most common feature offered in all the apps (9/16, 56.3%) and followed by cognitive training (8/16, 50.0%). Diet/nutrition (0/16, 0%) feature, however, was not offered on all reviewed mobile apps. Of reviewed apps, 56.3% (9/16) provide education, 37.5% (6/16) provide self-monitoring features, 18.8% (3/16) provide goal setting features, 18.5% (3/16) provide personalized feedback, 6.3% (1/16) provide social support and none of the reviewed apps offers heart rate monitoring and reminder features to the users. CONCLUSIONS All reviewed mobile apps for older adults in managing health did not focused on diet/nutrition component, lack of functional components and lack of health care professional involvement in their development process. There is also a need to carry out scientific testing prior to the development of the app to ensure cost effective and its health benefits to older adults. Collaborative efforts between developers, researchers, health professionals and patients are needed in developing evidence-based, high quality mobile apps in managing health prior they are made available in the app store.

Assessment and Prediction of Privacy Concerns on Health Apps (Preprint)

2020 ◽  
Author(s):  
Reham AlTamime ◽  
Vincent Marmion ◽  
Wendy Hall
Keyword(s):  
Data Sharing ◽  
Mobile Applications ◽  
Retention Rate ◽  
Mobile Apps ◽  
Third Party ◽  
Privacy Concerns ◽  
Health Apps ◽  
Mobile Health Apps ◽  
Specific Factors ◽  
And Control

BACKGROUND Mobile apps and IoT-enabled smartphones technologies facilitate collecting, sharing, and inferring from a vast amount of data about individuals’ location, health conditions, mobility status, and other factors. The use of such technology highlights the importance of understanding individuals’ privacy concerns to design applications that integrate their privacy expectations and requirements. OBJECTIVE This paper explores, assesses, and predicts individuals’ privacy concerns in relation to collecting and disclosing data on mobile health apps. METHODS We designed a questionnaire to identify participants’ privacy concerns pertaining to a set of 432 mobile apps’ data collection and sharing scenarios. Participants were presented with 27 scenarios that varied across three categorical factors: (1) type of data collected (e.g. health, demographic, behavioral, and location); (2) data sharing (e.g., whether it is shared, and for what purpose); and, (3) retention rate (e.g., forever, until the purpose is satisfied, unspecified, week, or year). RESULTS Our findings show that type of data, data sharing, and retention rate are all factors that affect individuals’ privacy concerns. However, specific factors such as collecting and disclosing health data to a third-party tracker play a larger role than other factors in triggering privacy concerns. CONCLUSIONS Our findings suggest that it is possible to predict privacy concerns based on these three factors. We propose design approaches that can improve users’ awareness and control of their data on mobile applications

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