Use of mobile health application to support belt and road initiatives: a cross-sectional study in China and Bangladesh

2020 ◽  
pp. 47-59
Keyword(s):  
Mobile Health ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Mobile Health Application ◽  
Belt And Road ◽  
Health Application

Mobile Health Application in China: Cross-sectional Study (Preprint)

2020 ◽  
Author(s):  
Le Yang ◽  
Jiadong Wu ◽  
Xiaoxiao Mo ◽  
Yaqin Chen ◽  
Shanshan Huang ◽  
...  
Keyword(s):  
Mobile Health ◽  
Health Management ◽  
Disease Diagnosis ◽  
Cross Sectional Study ◽  
Actual State ◽  
Primary Analysis ◽  
Cross Sectional ◽  
Mobile Health Application ◽  
Wide Range ◽  
Mhealth Apps

BACKGROUND Mobile health applications are emerging as a novel platform to obtain data pertinent to wellness and disease diagnosis, prevention, and management. As the future general trend of medical informatization, mobile health is an indispensable way to promote universal medical care to reduce disease burden. The features of these mHealth apps in China is unclear, so we collected a wide range of application information to evaluate these apps effectively. OBJECTIVE We aim to provide a landscape of mHealth apps on the existing market in China. We expect that based on the actual state, this study can give future development directions of mHealth apps. METHODS We searched mHealth apps from five android app stores (Huawei, Oppo, Vivo, Tencent, and 360), Apple App Store (IOS), and Baidu search engine up to October 25, 2019. We also searched the inventory of the top 100 Chinese hospitals in 2018 and four online shopping sites (Tmall, JD, Pinduoduo, and Suning) to identify apps of Internet hospitals and intelligent devices, respectively. RESULTS We identified 2425 mHealth apps (93.3% android, 69.2% iPhone) in the primary analysis, whose intentional users were ordinary consumers (Android 1808/2262, 79.9%; IOS 1350/1677, 80.5%). 56.1% (1168/2081) of app developers were Internet companies. More than 90% of apps were available free of cost (Android 2111/2262, 93.3%; IOS 1615/1677, 96.3%), but in-app purchases accounted for more than 60% (Android 1397/2262, 61.8%; IOS 1189/1677, 70.9%). Of the 1285 public available apps, 1248 were for health management, of which 26.3% (328/1248) were related to bodybuilding, and 13.7% (171/1248) were related to women's health. The other 697 apps were used for medical support, and 289 of them were related to inquiries. The permissions required by the apps include claiming the network (2081/2107), reading the status and identity of the phone (1881/2107) , and location (1799/2107). CONCLUSIONS With the increasing condition of the paid and membership system, rising profit of mHealth app drives various industries to move forward. This study guides research designs of future apps in mHealth field. The prospect of mHealth app is bright, but there exists a critical condition in claiming excessive permissions, security, and legal management, which need to be further strengthened.

scholarly journals Patients’ attitudes towards mobile health in Singapore: a cross-sectional study

mHealth ◽  
2019 ◽  
Vol 5 ◽  
pp. 34-34
Author(s):  
Ihtimam Hossain ◽  
Ying Na Ang ◽  
Hui Ting Chng ◽  
Pei Shieen Wong
Keyword(s):  
Mobile Health ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Public attitudes towards mobile health in Singapore: a cross-sectional study

mHealth ◽  
2018 ◽  
Vol 4 ◽  
pp. 41-41 ◽  
Author(s):  
Ihtimam Hossain ◽  
Zi Zhao Lim ◽  
Joshua Jia Le Ng ◽  
Wan Jia Koh ◽  
Pei Shieen Wong
Keyword(s):  
Mobile Health ◽  
Public Attitudes ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Factors affecting the acceptance of mobile health by medical sciences students: A cross-sectional study

2020 ◽  
Vol 25 (6) ◽  
pp. 476
Author(s):  
Heshmatollah Asadi ◽  
Mahnaz Samadbeik ◽  
Ali Garavand ◽  
Marzieh Kordi ◽  
Atefeh Abtin
Keyword(s):  
Mobile Health ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Medical Sciences ◽  
Cross Sectional ◽  
Factors Affecting

scholarly journals Improving the Quality of Antenatal Care Using Mobile Health in Madagascar: Five-Year Cross-Sectional Study

10.2196/18543 ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. e18543
Author(s):  
Anne Caroline Benski ◽  
Nicole C Schmidt ◽  
Manuela Viviano ◽  
Giovanna Stancanelli ◽  
Adelia Soaroby ◽  
...  
Keyword(s):  
Risk Factors ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Mobile Health ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Third ◽  
Over Time

Background Despite many efforts, maternal mortality remains a major burden in most developing countries. Mobile health (mHealth) has the potential to improve access to obstetric care through apps that help patients and providers. Objective This study aimed to use mHealth to provide antenatal care (ANC) to 1446 pregnant women in a rural area in Madagascar and evaluate the quality of ANC provided by an mHealth system designed to change the behaviors of providers and patients. Methods We included 1446 women who attended ANC visits in rural Madagascar from 2015 to 2019 using an mHealth system called Pregnancy and Newborn Diagnostic Assessment (PANDA). This cross-sectional study used data from different participants, with information collected over several years, to analyze the outputs related to the quality of ANC over time. Specifically, we examined the timing of the first ANC visit, the relationship between the visit duration and the risk factors among pregnant women, and the number of ANC visits per woman. Results Following the implementation of the mHealth system in 2015, we observed that women started to come earlier for their first ANC visit; more women attended their first ANC visit in the second trimester of pregnancy in 2019 than in the previous years (P<.001). In 2019, fewer women attended their first ANC visit in the third trimester (57/277, 20.6%) than in 2015 (147/343, 42.9%). There were statistically significant associations between the ANC visit durations and the risk factors, including age (>35 years; 25.0 min, 95% CI 24.0-25.9), educational level (longer visit for women with lower than primary education and for women who attended university and shorter for women with primary school–level education; 40.7 min, 95% CI 30.2-51.3 and 25.3 min, 95% CI 24.4-26.3 vs 23.3 min, 95% CI 22.9-23.8; P=.001), experience of domestic violence during pregnancy, gravidity, parity, infectious diseases (HIV, malaria, and syphilis), and level of anemia. Statistically significant associations were observed for all quality indicator variables. We observed a statistically significant increase in the number of ANC visits per woman over time from 2015 to 2017; the number of ANC visits per woman then became stable after the third year of implementing the PANDA mHealth system. Conclusions This study shows the potential of an mHealth system to improve the quality of ANC, change provider behavior by standardizing ANC visits, and change patient behavior by increasing the willingness to return for subsequent visits and encouraging ANC attendance early in pregnancy. As this is an exploratory study, further studies are necessary to better understand how mHealth can change behavior and identify the conditions required for behavioral changes to persist over time.

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