android app

BACKGROUND: Digitalizing oral health data through an app can help manage the extensive data obtained through oral health surveys. The Tooth Memo app collects data from oral health surveys and personal health information. OBJECTIVE: This study aims to evaluate the evaluate the time efficiency, reliability, and user satisfaction of the Tooth Memo app. METHODS: There are 2 sections in the Tooth Memo app: oral health survey and personal oral health record...

The COVID-19 pandemic has been a life threatening and spreads wildly with physical human contact. Physical distancing is recommended by health experts to prevent the spread; thus, agronomic research has to be designed in conformity to this preventive standard during the pandemic. Consequently, this study was designed to evaluate the reliability of using digital tools in nutrient management research amid the COVID-19 pandemic in northern Nigeria. Fifty extension agents (EAs) were selected across 15 LGAs of Kaduna and Kano states...

BACKGROUND: While ecological momentary assessment (EMA) is commonly used to study social contexts and social influence in the real world, EMA almost exclusively relies on participant self-report of present circumstances, including the proximity to influential peers. There is the potential for developing a proximity sensing approach that uses small Bluetooth beacons and smartphone-based detection and data collection to collect information about interactions between individuals passively in real time...

OBJECTIVE: Caregivers raising children with fetal alcohol spectrum disorders (FASD) have limited access to evidence-based supports. This single-arm feasibility trial assesses the Families Moving Forward (FMF) Connect app to determine readiness for a larger randomized controlled trial (RCT). METHODS: Eligibility for this online trial included caregivers of children (ages 3-12) with FASD residing in the United States. Caregivers received FMF Connect for 12 weeks on their personal smartphones (iOS or Android)...

BACKGROUND: An increasing number of people are using vapes (e-cigarettes), and with growing evidence of associated harms, there is a need for acceptable cessation support and interventions. Smartphone apps for health and well-being have increased in popularity and use. Limited published literature assesses the potential of apps to support vaping cessation. OBJECTIVE: A systematic search of vaping cessation apps currently available in Australia for iOS and Android platforms was conducted...

BACKGROUND: Mobile phones can be an ideal platform to engage adolescents to maintain, improve, and promote self-care. Therefore, the current study aims to design and evaluate the usability of a mobile application for self-care in adolescents with a user-centered approach. METHODS: The current applied developmental study was done in four steps. The first step, polling and examining opinions was conducted through in-depth semi-structured interviews, with the aim of user-centered mobile application design with the involvement of 30 participants...

In the recent report of the Organisation for Economic Coordination and Development (OECD) on Best Practices for Integrating Care to Prevent and Manage Chronic Diseases, an app on rhinitis and asthma (MASK-air®) has been listed. The OECD is a reliable source of evidence-based policy analysis and economic data largely used by governments. It has published several BPs on Public Health. On the 10th of May 2023, the OECD published 13 BPs for Integrating Care to Prevent and Manage Chronic Diseases in the European Union...

INTRODUCTION: ShishuPoshan is a free Android application for mothers that provides scientific guidance on breastfeeding and baby care issues in the local language. We aimed to assess its effect and acceptability in primi mothers in a rural area of Maharashtra, India. MATERIAL AND METHODS: A before and after study was conducted in 50 primi mothers to study the acceptability and effect of ShishuPoshan mHealth application on knowledge, attitude and practice about breastfeeding in primi mothers in a rural tertiary care hospital...

Smartphones' widespread availability and worldwide connection are advancing the idea of mobile-based healthcare and promise to transform the business of biosensors. Biosensors based on smartphones have been investigated in several ways, including employing a smartphone in place of a detector or as an instrumental interface. The current work demonstrates the first successful detection of dengue virus using a smartphone-based pocket sensor combined with a wireless potentiostat. The platform developed comprises a smartphone, a wireless portable potentiostat, an Android app, and a three-electrode setup...

To ensure stable and normal transformer operation, light gas protection of the transformer Buchholz relay is essential. However, false alarms related to light gas protection are common, and troubleshooting them often requires on-site gas sampling by personnel. During this time, the transformer's operating state may rapidly deteriorate, posing a safety threat to field staff. To tackle these challenges, this work presents the near-field, thin-sliced transformer monitoring system that uses Electromagnetic Energy Transmission and Wireless Sensing Device (ETWSD)...

BACKGROUND: Home assessment is a critical component of successful home modifications, enabling individuals with functional limitations to age in place comfortably. A high-quality home assessment tool should facilitate a valid and reliable assessment involving health care and housing professionals, while also engaging and empowering consumers and their caregivers who may be dealing with multiple functional limitations. Unlike traditional paper-and-pencil assessments, which require extensive training and expert knowledge and can be alienating to consumers, mobile health (mHealth) apps have the potential to engage all parties involved, empowering and activating consumers to take action...

IMPORTANCE: With advancements in mobile technology and artificial intelligence (AI) methods, there has been a substantial surge in the availability of direct-to-consumer mobile applications (apps) claiming to aid in the assessment and management of diverse skin conditions. Despite widespread patient downloads, these apps exhibit limited evidence supporting their efficacy. OBJECTIVE: To identify and characterize current English-language AI dermatology mobile apps available for download, focusing on aspects such as purpose, supporting evidence, regulatory status, clinician input, data privacy measures, and use of image data...

OBJECTIVE: The growing prevalence of smartphones may prompt individuals with epilepsy to pursue unfulfilled healthcare requirements through mobile health (mHealth) apps, but the content and quality of these mHealth apps are rarely analysed. Hence, this study aimed to identify and assess the quality of epilepsy apps for patients with epilepsy (PWE), their caregivers, and healthcare practitioners (HCPs) available in the Play Store and App Store of India. METHODS: We performed a systematic search on the Google Play Store and Apple App Store of India to identify the mHealth apps for epilepsy which were released and updated till May 2023...

INTRODUCTION: WHO estimated the prevalence of disabling hearing loss is 5% of the world population (430 million). People with a risk of hearing loss from noise exposure, ototoxic drugs, and comorbidities need regular hearing assessments. It is done by pure tone audiometry (PTA), requiring a skilled audiologist, special equipment, and a soundproof room. Modern technologies can help in overcoming these barriers. This study aimed to fill the lacuna by developing a new android-based application "Shravana Mitra" (Hearing companion) with features of both air conduction (AC) and bone conduction (BC) testing...

BACKGROUND: A "Menstruatie Educatie Kalender" application (Menstruation Education Calendar, (MEK-APP)) was developed for adults to evaluate menstrual complaints. The future aim of this app is to use it as a self-diagnostic instrument for menstrual abnormalities for both adults and adolescents. Early identification of the potential of an application for future use by both user groups would increase implementation success and adoption of the application. OBJECTIVE: To compare differences in experienced usability by adults versus adolescents and to identify factors influencing future use for both age groups in one mHealth application (in this study the MEK-APP)...

OBJECTIVE: To analyse the relationship between health app quality with user ratings and the number of downloads of corresponding health apps. MATERIALS AND METHODS: Utilising a dataset of 881 Android-based health apps, assessed via the 300-point objective Organisation for the Review of Care and Health Applications (ORCHA) assessment tool, we explored whether subjective user-level indicators of quality (user ratings and downloads) correlate with objective quality scores in the domains of user experience, data privacy and professional/clinical assurance...

BACKGROUND: Seasonal malaria chemoprevention (SMC) is an effective strategy for reducing malaria morbidity and mortality in children aged 3-59 months in areas with seasonal malaria transmission. Sulphadoxine-pyrimethamine plus amodiaquine is given to an eligible child at monthly intervals during the peak malaria transmission season. The aim of this study was to determine the level of compliance with SMC guidelines by community drug distributors during SMC implementation in Kwara State...

OBJECTIVES: Classifying radiologic pulmonary lesions as malignant is challenging. Scoring systems like the Mayo model lack precision in predicting the probability of malignancy. We developed the logistic scoring system 'LIONS PREY' (Lung lesION Score PREdicts malignancY), which is superior to existing models in its precision in determining the likelihood of malignancy. METHODS: We evaluated all patients that were presented to our multidisciplinary team between January 2013 and December 2020...

Artificial intelligence techniques are now widely used in various agricultural applications, including the detection of devastating diseases such as late blight ( Phytophthora infestans ) and early blight ( Alternaria solani ) affecting potato ( Solanum tuberorsum L.) crops. In this paper, we present a mobile application for detecting potato crop diseases based on deep neural networks. The images were taken from the PlantVillage dataset with a batch of 1000 images for each of the three identified classes (healthy, early blight-diseased, late blight-diseased)...

BACKGROUND: The increasing prevalence of autism spectrum disorder (ASD) has driven research interest on the therapy of individuals with autism, especially children, as early diagnosis and appropriate treatment can lead to improvement in the condition. With the widespread availability of virtual reality, augmented reality (AR), and mixed reality technologies to the public and the increasing popularity of mobile devices, the interest in the use of applications and technologies to provide support for the therapy of children with autism is growing...