scispace - formally typeset
Open AccessJournal ArticleDOI

Enabling Psychiatrists to be Mobile Phone App Developers: Insights Into App Development Methodologies

Reads0
Chats0
TLDR
Two freely available methodologies for developing apps have been used to convert an online electronic psychiatry textbook into two Web-based mobile phone apps for medical students rotating through psychiatry in Singapore, showing that a high proportion of students valued the textbook and objective structured clinical examination videos featured in the app.
Abstract
Background: The use of mobile phones, and specifically smartphones, in the last decade has become more and more prevalent. The latest mobile phones are equipped with comprehensive features that can be used in health care, such as providing rapid access to up-to-date evidence-based information, provision of instant communications, and improvements in organization. The estimated number of health care apps for mobile phones is increasing tremendously, but previous research has highlighted the lack of critical appraisal of new apps. This lack of appraisal of apps has largely been due to the lack of clinicians with technical knowledge of how to create an evidence-based app. Objective: We discuss two freely available methodologies for developing Web-based mobile phone apps: a website builder and an app builder. With these, users can program not just a Web-based app, but also integrate multimedia features within their app, without needing to know any programming language. Methods: We present techniques for creating a mobile Web-based app using two well-established online mobile app websites. We illustrate how to integrate text-based content within the app, as well as integration of interactive videos and rich site summary (RSS) feed information. We will also briefly discuss how to integrate a simple questionnaire survey into the mobile-based app. A questionnaire survey was administered to students to collate their perceptions towards the app. Results: These two methodologies for developing apps have been used to convert an online electronic psychiatry textbook into two Web-based mobile phone apps for medical students rotating through psychiatry in Singapore. Since the inception of our mobile Web-based app, a total of 21,991 unique users have used the mobile app and online portal provided by WordPress, and another 717 users have accessed the app via a Web-based link. The user perspective survey results (n=185) showed that a high proportion of students valued the textbook and objective structured clinical examination videos featured in the app. A high proportion of students concurred that a self-designed mobile phone app would be helpful for psychiatry education. Conclusions: These methodologies can enable busy clinicians to develop simple mobile Web-based apps for academic, educational, and research purposes, without any prior knowledge of programming. This will be beneficial for both clinicians and users at large, as there will then be more evidence-based mobile phone apps, or at least apps that have been appraised by a clinician. [JMIR Mhealth Uhealth 2014;2(4):e53]

read more

Citations
More filters
Journal ArticleDOI

Prevalence of Depression in the Community from 30 Countries between 1994 and 2014.

TL;DR: A random-effects model meta-analysis allows benchmarking of the prevalence of depression during the era when online health information emerged, facilitating future comparisons.
Journal ArticleDOI

Cloud and IoT based disease prediction and diagnosis system for healthcare using Fuzzy neural classifier

TL;DR: A new systematic approach is used for the diabetes diseases and the related medical data is generated by using the UCI Repository dataset and the medical sensors for predicting the people who has affected with diabetes severely and a new classification algorithm called Fuzzy Rule based Neural Classifier is proposed for diagnosing the disease and the severity.
Journal ArticleDOI

Cloud-centric IoT based disease diagnosis healthcare framework

TL;DR: A cloud-centric IoT basedm-healthcare monitoring disease diagnosing framework is proposed which predicts the potential disease with its level of severity and experimental results show that the proposed methodology outperforms the baseline methods for disease prediction.
Journal ArticleDOI

Online clinical decision support system using optimal deep neural networks

TL;DR: The proposed framework collects the patient data using the IoT devices attached to the user which will be stored in the cloud along with the related medical records from the UCI repository and employs a Deep Neural Network (DNN) classifier for the prediction of CKD and its level of severity.
Journal ArticleDOI

Expert Involvement and Adherence to Medical Evidence in Medical Mobile Phone Apps: A Systematic Review

TL;DR: Most medical mobile phone apps lack expert involvement and do not adhere to relevant medical evidence, as outlined in this review.
References
More filters
Journal ArticleDOI

Smartphone and medical related App use among medical students and junior doctors in the United Kingdom (UK): a regional survey

TL;DR: This study found a high level of smartphone ownership and usage among medical students and junior doctors and both groups endorse the development of more apps to support their education and clinical practice.
Journal ArticleDOI

A Lot of Action, But Not in the Right Direction: Systematic Review and Content Analysis of Smartphone Applications for the Prevention, Detection, and Management of Cancer

TL;DR: There are hundreds of cancer-focused apps with the potential to enhance efforts to promote behavior change, to monitor a host of symptoms and physiological indicators of disease, and to provide real-time supportive interventions, conveniently and at low cost, but there is a lack of evidence on their utility, effectiveness, and safety.
Journal ArticleDOI

Apps for asthma self-management: a systematic assessment of content and tools

TL;DR: Health professionals considering recommending apps to patients as part of asthma self-management should exercise caution, recognizing that some apps like calculators may be unsafe; that no current app will meet the need of every patient; and that ways of working must be adapted if apps are to be introduced, supported and sustained in routine care.
Journal ArticleDOI

The regulation of mobile health applications

TL;DR: The prevalence of mobile health, the context of regulation concerning mobile medical applications, and implications for the future are discussed.
Journal ArticleDOI

Smartphone Apps for Cardiopulmonary Resuscitation Training and Real Incident Support: A Mixed-Methods Evaluation Study

TL;DR: Although several apps for resuscitation training and real incident support are available, very few are designed according to current BLS guidelines and offer an acceptable level of usability and hedonic quality for laypersons.