Questions related to mHealth
With an increasing number of countries implementing digital health and digital public health tools, questions arise about whether these tools are effective and how to implement them best nationally. The lack of a validated and standard list of indicators complicates the comparison of digital health maturity between countries. We need guidance for governments in setting up strategies for the effective implementation and adoption of digital public health tools in routine care and the prevention of diseases.
To address this challenge, we want to invite researchers and practitioners from medicine, public health, economics, computer science, law, cultural studies, sociology, or other comparable disciplines. Participants should know about the development, implementation and evaluation of digital public health systems to take part in a Delphi study to choose the leading quality indicators to assess the maturity of national digital public health systems from four perspectives:
1. The information-telecommunication-technology requirements
2. The political support and legal regulation for the implementation and use of health technologies and the generated data
3. The application of concrete digital health tools to the national health system
4. The collective social willingness to use these tools
We are using a snowball approach to reach as many experts as possible. Please join our effort by participating in this Delphi study https://bit.ly/3raMsVY. Please forward this message to all your mailing lists of colleagues that might fit the purpose of this study. Every participation will be greatly appreciated and contribute to a better understanding of international digital public health systems.
This Delphi study will be conducted within the German Leibniz ScienceCampus Digital Public Health research project entitled "Developing a Maturity Measurement Model for Digital Public Health: The Digital Public Health Readiness Index".
Best regards and take care,
(on behalf of the digital public health readiness index team and the EUPHA Digital Health Section)
Link to Survey: https://bit.ly/3raMsVY
Multiple criteria are followed to evaluate the effects of health interventions based on mHealth and eHealth: user perception, cost-effectiveness and cost-utility, sustainability over time, direct effects on the health condition of users. But in what way can the results be evaluated in the Health System?
Hello! I‘m working on a paper, which tries to define health apps and medical apps in the area of public health. Therefore I would be very interested in your opinion and references you know.
What are definitions for health and medical apps and where might be differences between the two of them?
Does anyone know of any instrument (survey questionnaire) that has been used to probe the mHealth usage acceptability for Arab mental health screenings in the Middle East & North Africa (MENA) region? I am working on a NIH proposal for a gendered and culturally congruent conceptual framework that would inform, and adapt such an instrument in a pretest-posttest study. I could not find anything other than TAM (technology acceptance model). Any leads would be much appreciated. Thank you.
We are witnessing an explosion of digital health products, whether eHealth, mHealth or wearables. There are currently a few different frameworks to evaluate these new approaches to delivering care. Mainly through the 2019 NICE Evidence Standards Framework for Digital Health Technologies. But also in the UK, there are toolkits from NHSX, NHS Digital and the Department of Public Health to name a few.
I'd love to know what other frameworks for evaluation you use or that you know of.
Given the ubiquitous nature and increasing use & potentialities of mobile devices in today's fast paced world.
I´m working on developing an evaluation framework for mHealth applications and want to compile a list of core indicators based on existing indicator sets for mHealth and eHealth evaluation.
I´m therefore looking for existing indicators sets for mHealth and eHealth evaluations.
Is there any sort of guidelines or criteria that would allow us to categorize whether an app is under mhealth or not.
I have many apps that I am not sure if they could be classified as mhealth applications or not for example:
1) An app that would register you as a blood donor and give you reminders to donate blood, connect you to hospitals in need etc.
2) An App that allows you the have video call or text a doctor!
3) An App that allows you to book an appointment in a hospital.
There are many mHealth apps available, but what are the top validated ones for oncology patients (e.g. CE marked and have actual proof of concept and value)?
For the development of eHealth solutions, stakeholders should be involved and their opinions and experiences must be heard or it could be optional.
We are waiting impatiently! ;-)
And second remark: you are working on the original MARS from 2015 and not on the User Version (Stoyanov et al. (2016): Development and Validation of the User Version of the Mobile Application Rating Scale (uMARS) JMIR Mhealth Uhealth 4(2): e72), isn't it!?
Does Health Extension Workers Focussed mHealth technology Intervention to Improve Uptake of Skilled Maternity Services effect in rural Ethiopia? Or any update innovate health apps to be recommended for African low income countries rather than mHealth technology?
Thank you for your scientific guidance!
I´m searching for guidelines for reporting the results of mixed methods studies (eg, review+concept developement, survey study + interviews or focus groups) - similar like CONSORT, but for mixed methods studies in health research/psychology (eg, eHealth, mHealth pilot studies).
I have found no suitable checklist on the EQUATOR network.
Thanks in advance, Jennifer
What do clinician-researchers think of manualized peer support? What do peers/patients think of manualized peer support?
We are developing a clinical trial aiming at assessing a mobile app for diabetic patients in Rwanda (for more information on the D²Rwanda study: https://clinicaltrials.gov/ct2/show/NCT03376607). To enable access to the app, we would like to provide all patients with a smartphone and a SIM card with a monthly mobile data bundle for the 12 months of the study's run. The SIM card would allow exclusive access to our app (through VPN / static IP) so that the patients wouldn’t spend the pack on voice calls, text messages or browsing the Internet (the supplied phones are dual-SIM, and therefore patients can continue using their own SIM cards as well).
We are currently facing a major challenge regarding obtaining the SIM cards: we would like to refrain from registering the SIM cards to each patient individually so that we avoid the selection bias (we hypothesise that some patients would not participate in the study if they are asked to provide their IDs for the SIM card registration —not to mention that some patients in rural areas may not even have IDs). For that, we would like to register the approximately 150 SIM cards under one of the institutions which co-develop the project. However, in Rwanda, there is a strict legislation, which requires individual registration of each card.
We have also looked for companies providing SIM cards with international roaming –but so far the bundles we have found are prohibitively expensive. Does anyone have any experience with such issues? We would be grateful for any insights, ideas or experience!
If there are recommendations, please attach some previous studies as well if possible. I am expecting a research title which will be useful for society and hopefully can contribute for a better smoking cessation.
We're currently designing a study on the use of technology in treating insomnia. As a part of this we've planned to use wearable technology (e.g., a fitbit) to track sleep patterns. We're looking for a good way to gather the sleep data in a timely manner that doesn't involve hand-entering everything. If we could find an app or method to securely transmit the sleep data on a weekly basis that would be amazing. We'd welcome any help or leads.
Hello fellow researchers. I would like to know of any current study that has researched on the applied software development development processes used by developers in mhealth application development and their short comings.
I am very much interested in the field of behavioral intervention research where much work has been done in order to decompose interventions into behavior change techniques in order to find out what techniques do help achieve the desired behavior change.
I am interested in design and deployment of eHealth and mHealth solutions that are in fact behavior change interventions. For this, I would like to see, what existing frameworks exist that bring together knowledge from different sciences that is eventually used to inform the design of these solutions.
I would also like to collect information about existing platforms that support more than one intervention.
I am searching for information in
- Saudi Arabia,
- Singapore, and
I am using Boolean and keyword combinations:
- "Ministry of Health" AND "[Country Name]" AND "mHealth"
- "Research Institute" AND "[Country Name] AND "mHealth"
- "NGO" AND "[Country Name]" AND "mHealth"
If you have other suggestions, I am open to them.
I am looking for intervention studies that implemented an e- & mHealth approach to promote healthy diets and physical activity in developing countries.
The published literature on mHealth interventions, uses the terms-feasibility, acceptability and usability. The terms obviously originate from our understanding of health interventions in real life. Do we need to modify these terms? Should we use them as they are? What is the way forward? These are the definitions of the terms available on online dictionaries- feasibility (the state or degree of being easily or conveniently done i.e., whether the intervention can be implemented given time, financial, legal, personal, and social constraints), acceptability (the judgments about treatment
procedures by nonprofessionals and consumers of treatment as to whether
treatment is fair, and reasonable) , and usability (Usability is the ease of use and learnability of a human-made object). My impression is that in IT world, acceptability [User Acceptance Testing (UAT) how the end user experience the app] is the same as usability. I look forward to hearing from experts and colleagues...
We believe currently available interventions can be easily divided into; Type 1. Interventions delivered by human therapists through eMedia (e.g.,AVATAR Therapy), Type 2. Interventions that are underpinned by a manualized, evidence based, and theoretically sound real world intervention (e.g., Mood gym) or apps that help with such interventions, like thought diaries or breathing apps, and Type 3. Interventions that are not based in real world examples, and are purely developed to be delivered in mHealth format. It follows that the type 1, and 2 interventions need less rigorous testing and reporting than the type 3 apps. It also means the type 1 apps are only to be used by trained therapists, while type 2 can be used by the public (like over the counter drugs). These are initial thoughts and opinions and disagreements are welcome.
According to experts in mHealth (Mobile Health), mobile healthcare is the future of health care and expected revenue of investments in new technologies and smart phones is about 27 billion US dollars by 2017.
Our group at eTreatMD is developing one for arthritis. Do you have any meeting FDA requirements? I am particularly interested in approaches to anatomical imaging or diagnostics.
I am looking for a survey paper related to mobile health security and privacy. If someone happened to read some survey papers related to this topic, please recommend them to me:) Any survey paper related to this field is OK. This is appreciated, thank you!
eHealth and mHealth are expanding rapidly, as mobile devices, such as smart phones, with sensing capabilities emerge. Food-borne pathogens, in all parts of the world, result in huge numbers of lost days of employment as well as in death in vulnerable people. What is the best approach to capitalize on the potential of smart phones or other mobile devices to prevent food poisoning and aid in the treatment? which pathogens should be targeted? Are there sensors for these already?
I am planning to use Network coding method in my new remote patient monitoring framework to maintain the reliability of Wireless Body Area Networks (WBAN). Please can anyone suggest the best technique?
I would like to have some articles and literature reviews from people who have done research on the above title. I am writing a phD research proposal and I have some problems in problematics, expected observation, literature review, sampling criteria.
I am familiar with MyExperience (EMS experiments) and OpenSesame (cognitive psychological experiments). Are there any others in development?