How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX
© Boulos et al; licensee BioMed Central Ltd. 2011
Received: 22 February 2011
Accepted: 5 April 2011
Published: 5 April 2011
The latest generation of smartphones are increasingly viewed as handheld computers rather than as phones, due to their powerful on-board computing capability, capacious memories, large screens and open operating systems that encourage application development. This paper provides a brief state-of-the-art overview of health and healthcare smartphone apps (applications) on the market today, including emerging trends and market uptake. Platforms available today include Android, Apple iOS, RIM BlackBerry, Symbian, and Windows (Windows Mobile 6.x and the emerging Windows Phone 7 platform). The paper covers apps targeting both laypersons/patients and healthcare professionals in various scenarios, e.g., health, fitness and lifestyle education and management apps; ambient assisted living apps; continuing professional education tools; and apps for public health surveillance. Among the surveyed apps are those assisting in chronic disease management, whether as standalone apps or part of a BAN (Body Area Network) and remote server configuration. We describe in detail the development of a smartphone app within eCAALYX (Enhanced Complete Ambient Assisted Living Experiment, 2009-2012), an EU-funded project for older people with multiple chronic conditions. The eCAALYX Android smartphone app receives input from a BAN (a patient-wearable smart garment with wireless health sensors) and the GPS (Global Positioning System) location sensor in the smartphone, and communicates over the Internet with a remote server accessible by healthcare professionals who are in charge of the remote monitoring and management of the older patient with multiple chronic conditions. Finally, we briefly discuss barriers to adoption of health and healthcare smartphone apps (e.g., cost, network bandwidth and battery power efficiency, usability, privacy issues, etc.), as well as some workarounds to mitigate those barriers.
Indeed, smartphones have been one of the success stories of the last decade. In a relatively short period of time, smart mobile technology has penetrated significantly into society, capturing an entire age spectrum of subscribers in western industrialised nations, from school children to senior citizens. Such progress has built upon a long history of the use of communication devices, and a rapid adoption of mobile communication devices that began in the latter part of the last century.
According to Traxler  such rapid uptake in mobile phone ownership has transformed many aspects of our lives, both in the Western world and just about everywhere else around the globe. It is impacting, he suggests, not only on the manner in which we communicate, but also on our sense of culture, community, identity and relationships. Although encounters via mobile telephony are generally briefer than face to face interactions, there is evidence that for young people in particular, the number of daily contacts through text messaging can be very high . Many older people also use mobile phones on a regular basis, to sustain contact with distant relatives and friends, and to converse on a daily basis, helped by call costs being generally distance independent. However, the mobile phone can undoubtedly be viewed as much more than a simple communication device . It exerts a far reaching influence in society, because in effect, the mobile phone has enabled us to become 'distributed beings', due to the fact that mobile communication has unfettered us from our geographical boundedness . Mobile phones appear therefore to be at the vanguard of a cultural shift where users are encouraged to constantly seek out new information and make connections with increasingly dispersed media content . Whilst the demographic statistics may vary from country to country, the smartphone is a phenomenon that is here to stay, and one which will rapidly progress in its evolution in the years to come. There is therefore great scope to harness the potential of mobile telephony to improve many aspects of society, including healthcare.
Although the mobile phone has been widely used for several decades, smartphones are a more recent advance. They are mobile phones that offer not only the standard facilities such as voice and text communication, but also advanced computing and communication capability, including, for example, Internet access and geo-positioning systems. In comparison to earlier mobile phones, smartphones generally also have larger, higher resolution display screens. Most of the newer generation of smartphones also incorporate other features such as on-board personal management tools, high quality cameras and recording devices.
Some smartphones, such as the Blackberry, also incorporate small internal keyboards in their designs. Recently, Apple's iPhone and Google's Android touch screen devices have increased smartphone ownership. They are popular because of their intuitive and tactile graphical user interfaces and natural gesture control. The latest generation of smartphones are increasingly viewed as handheld computers rather than as phones, due to their powerful on-board computing capability, capacious memories, large screens and open operating systems that encourage application development . The potential for the creation of simple and easy to download apps for smartphones has created a vibrant new industry. There is now an app for just about every social, entertainment and educational requirement .
Smartphones have now achieved such a pervasive presence in society that users find it easy to self-organise themselves across large geographical areas . Many have adopted a culture where they are 'always connected' to their peer groups, communities of practice and information . The mobile phone provides an essential 'any time, any place' portal into the entire world wide web of knowledge. Such continuous and pervasive social connectivity has important implications for society, and holds a lot of potential in particular for use in education, healthcare and medicine.
Mobile phone applications in healthcare
It is clear that the potential for mobile communication to transform healthcare and clinical intervention in the community is tremendous. Several previous studies have evaluated the use of mobile phones to support healthcare and public health interventions, notably in the collection and collation of data for healthcare research , and as used in support of medical and healthcare education and clinical practice in the community . Some studies have highlighted the successful use of mobile phones to support telemedicine and remote healthcare in developing nations , with examples including their use in off-site medical diagnosis  and as information support in the treatment of HIV care in difficult to reach rural areas .
Studies assessing specific functionalities of smartphones have recently featured in the literature, including an examination of the use of on-board digital diaries in symptom research , the use of short message service (SMS) text in the management of behaviour change , in sexual health education , and to improve patients' adherence to antiretroviral treatment . One study compared the use of mobile phone records against traditional paper based records in controlled drug trials .
GPS (Global Positioning System) and location-enabled smartphones offer many additional application opportunities that can further assist the independent living of persons with disabilities and/or multiple chronic conditions [22, 23], as well as in epidemiology/public health surveillance and community data collection .
Kailas et al.  claim that there are already in excess of 7,000 documented cases of smartphone health apps. Extensive reviews of the use of mobile phone and handheld computing devices in health and clinical practice can be found by Free et al.  and Terry . Free et al.  highlight several key features that give mobile phones the advantage over other information and communication technologies, including portability, continuous uninterrupted data stream, and the capability through sufficient computing power to support multimedia software applications. Significant economic benefits have also been reported where mobile communication is employed in the provision of remote healthcare advice and telemedicine .
The eCAALYX example
The eCAALYX Mobile Application is being developed under the scope of the eCAALYX EU-funded project (Enhanced Complete Ambient Assisted Living Experiment, 2009-2012; [29, 30]), which aims at building a remote monitoring system targeting older people with multiple chronic diseases. Patients, carers and clinicians' involvement is extensive throughout the prototype design, deployment and testing, and clinical trial phases of the project. The main functionality of the eCAALYX Mobile Platform is to act as a seamless "informed" intermediary between the wearable health sensors (in a 'smart garment') used by the older person and the health professionals' Internet site, by reporting to the latter (but also to the patients) alerts and measurements obtained from sensors and the geographic location (via smartphone GPS) of the user. Additionally, the mobile platform is also able to reason with the raw sensor data to identify higher level information, including easy-to-detect anomalies such as tachycardia and signs of respiratory infections, based on established medical knowledge. A user interface is also provided, which allows the user to evaluate the most recent medical details obtained from sensors, perform new measurements, and communicate with the caretakers.
There are many challenges to the development of the mobile platform. Most importantly, the mobile platform must be seamless and autonomous in its operation (e.g., in raising alerts), in order to provide a usable service to a target group that usually does not have any familiarity with technology and might even be unconscious during times of medical emergency and not able to manually operate any device or software. System and service reliability is also an important issue to take into account, firstly due to the possible negative sensation that the application may give to the user in the case of malfunctioning, and, secondly, due to the physical distance between the technical maintenance teams and the users. From an implementation point of view, the issues regarding the implementation of intelligent mechanisms in a mobile resource-limited device should also be considered. Usability issues are further discussed in the following section.
Use of dock-stations to simplify the battery charging of the mobile device;
Use of a mobile phone without buttons and with large touch-screens, which allows the building of virtual buttons as large as needed, instead of the small buttons available on commercial mobile phones with conventional keypads and keyboards; and
All maintenance actions are performed either remotely and transparently to the user, or locally, by technicians.
Concerning smartphone software usage, the following practical solutions were adopted:
The phone runs autonomously without the need of any mandatory interaction from the user from the time it is powered on. This includes the supressing of all enquiries of the operating system, such as pin negotiation and the automation of all necessary processes;
Rebooting has to be avoided, because it can be a difficult task to perform by the target users. The phone must therefore support prolonged periods of operation without the need to reboot the system;
All possible navigation has been reduced to two easily accessible screens, to avoid confusion of the user while navigating the software; and
All error pop-ups were supressed, to avoid showing any system errors to the user.
There are not yet any clinical trials or evaluation results of the eCAALYX Mobile App to report (at the time of writing in January 2011); such details are expected to be available after project completion in July 2012. However, we think that the eCAALYX Mobile App we have briefly described here provides a unique opportunity to have a somewhat detailed 'under-the-hood' look at one current example from a rapidly growing class of smartphone apps for chronic disease management and telehealthcare.
eCAALYX builds on the experience gained in a previous and closely related EU-funded project, CAALYX (Complete Ambient Assisted Living Experiment, 2007-2008; [23, 30, 33]). The original CAALYX prototype similarly used a smartphone and one of the prototype's commercial exploitation barriers identified at that time was the relatively high cost of acquiring an Internet- and GPS-enabled smartphone with sufficient computing power (and battery life) to run the CAALYX mobile app (plus the subscription costs to a suitable mobile phone data plan), particularly given the generally low income of target users (older pensioners ). However, recent surveys of mobile phone uptake and penetration in the UK and other developing countries show that this affordability barrier might be gradually improving on the medium to long run, especially for the "younger" older generations (55-70) and as smartphone prices and data plan costs continue to drop.
A closer look at ownership of smartphones
Smartphone ownership in the developed world is rapidly increasing. ChangeWave Research  report a (presumably US) survey in December 2009 with 42% saying they own a smartphone (rising from 15% in October 2006) (but details of the survey methods are not freely available). Estimates from Ofcom research  suggest the figure is less, namely that the USA has 36% and the UK has 37% with Internet access via a mobile phone. Ofcom also cites ComScore's MobiLens survey  estimating only 18% of people with smartphone subscriptions in the UK compared to 26% in Italy and 21% in Spain. Ofcom reports that there is a good deal of consumer confusion over the capabilities of their phone but that 43% claim their phone can be used to access apps, download email, and surf the Web. If 81% have a mobile phone (see below) this would imply a third of the UK population with smartphones. We might estimate therefore that between one fifth and one third of the UK population now has a smartphone.
What are the predictions for smartphone ownership to reach over 90% of the population?
We can perhaps extrapolate from ownership of any mobile phone. UK's National Statistics  report the growth in mobile phone ownership since 2001/02, increasing from 65% to 81% in 2009. Ownership varies by income group. Only 67% of households in the lowest income decile group reported mobile phone ownership in 2009, compared with 92% in the highest income decile group. (Recent estimates of mobile phone use in the USA are 85% , so there is no significant difference between UK and USA (given the differences in methods used and error in these estimates).)
Taking these two trends together we might estimate that 80-90% of the UK population will have a smartphone within 10 years. This might not be quite as rapid as some might suggest, but, in the context of other social changes brought about by the development of technology, is a massive change.
What impact will this have on healthcare?
Jane Sarasohn-Kahn reports "How smartphones are changing healthcare for consumers and providers" . Probably the quickest change is in the use of smartphones by professionals. The slightly slower, but possibly bigger, impact may be in the use of smartphones by lay consumers. Producers of apps certainly think there is a market, as by February 2010, some 4000 apps were available within the Apple App Store aimed at patient end-users, and Gartner named mobile health as one of its top ten applications for 2012 .
Considering that many apps now, especially those intended for chronic disease management, rely on the presence of an active Internet connection on the smartphone in order to function as intended, a question immediately arises about current Internet uptake levels among people with chronic diseases.
Do people with chronic disease go online and can Internet-enabled smartphones make a difference?
Fox and Purcell  report that in the USA, adults living with chronic disease are disproportionately offline. 81% of adults reporting no chronic diseases go online compared to 62% of adults living with one or more chronic disease. And there is a marked 'dose response', so 68% of adults reporting one chronic disease go online compared to only 52% of adults living with two or more chronic diseases. The difference is even more marked when comparing use of text messages with only 23% of those with two or more chronic conditions compared to 60% of those with no conditions using a mobile to send text messages .
There are now many health promoting Internet interventions  but they will, by definition, only be used by those who have already reached a decision to try to change their behaviour. Although many report successful behaviour change in those who continue to use such interventions, attrition is usually very high, and we can assume that those who drop out of using the online intervention have also dropped out of changing their behaviour. It may be that smartphone technology, by its mobility and location awareness, may be able to achieve lower attrition rates, but given the demographics of current users it is likely to be for behaviour change amongst a relatively young and healthy population. Sarasohn-Kahn  had argued that medication adherence is a problem amongst patients with chronic conditions and suggested that technology can play an important role. However, there is no strong evidence yet on the effectiveness of dispensing devices, and like behaviour change, this is likely only to benefit those willing to use such reminders and who are already smartphone users, unless apps running in specialised devices can be developed.
There are now hundreds of smartphone apps focusing on wellness, fitness, and nutrition. Mobile and home monitoring can be carried out with body-worn and ambient sensors communicating with smartphones (as found, for example, in eCAALYX), including accelerometers measuring motion and gait, infrared detectors measuring body temperature and heart rate, and glucometers measuring blood glucose (some sensors may also be built-into future smartphones). However, Sarasohn-Kahn  describes how MedApps started as a mobile phone app, but given the low user base amongst chronically ill and older people they re-engineered it as a wireless handheld device, the HealthPal. Users use their 'usual' devices such glucometers, spirometers, pulse oximeters, and scales, and the Bluetooth enabled Healthpal communicates results. Another rather obvious consideration in smartphone use for people who are (chronically) ill, is that most such people are at home, and unlikely to be 'out and about' using their mobile phone. In that circumstance they are more likely, with current device usage, to use a Wi-Fi enabled laptop (or iPad/Android Touch Tablet) from their bed (although the use of 3G mobile Internet connections indoors is also on the rise on different devices ranging from smartphones to notebooks). However, smartphones, especially newer ones with larger (touch) screens, are starting to replace conventional desktop and Wi-Fi access (and some smartphones are both Wi-Fi and 3G mobile Internet enabled). In the UK, 29% of Internet users use their mobile to access the Internet at home, second only to those in Japan at 43% , and mobiles are rapidly replacing landlines in many homes. In the UK, 13% of all homes used mobiles as their sole form of telephony , but more than half of Americans aged 25-29 now live in households with mobile phones but no traditional landline telephones .
At the moment, Sarasohn-Kahn  cites Eising of Mayo clinic mentioning their research that people use mobiles for 'action-oriented' information, and how they are not going to do in-depth research by mobile. So smartphones will be used by people who are not acutely ill but who maybe want to find some location based information - such as the location and hours of a pharmacist - while on the move. Whereas more detailed information, or communication with others may take place in the home. But as more people get smartphones and use them as their sole means of communication, this may change.
What other barriers to smartphone use in health does Sarasohn-Kahn  see? She is concerned that too much app development is carried out by technologists without the involvement of patients. She notes the problems of apps recommending particular products and also notes that in the USA if an app includes a sensor then the FDA (US Food and Drug Administration) may monitor it as a medical device. She thinks that the challenges to continued rapid smartphone growth include finding the right business model and privacy issues. (For a brief discussion of the latter privacy issues and some workarounds adopted in CAALYX/eCAALYX, interested readers may refer to  and ).
Some limitations of mobile phone applications
Notwithstanding all of the benefits we should be aware that the use of the mobile phone in healthcare and clinical practice is not without its problems and limitations. In comparison to laptop computers, the small internal storage capacity, processing power and screen size of the mobile phone often requires apps that are running to be in reduced format . However, the use of cloud computing resources which are external to the mobile device may obviate restrictive processing speeds and memory requirements in the future . Never the less, mobile phones are smaller, more portable and less obtrusive than laptops, so it could be argued that this is a reasonable trade off. Although much mobile phone communication is now conducted using text, voice communication still necessitates the securing of space within which vocal communication can be made in private . The consideration of such a constraint may be vital to maintain the confidentiality of patient information if used in public spaces. Other factors such as loss or theft of devices may impact upon the security of confidential digital health records or data held on mobile phones. The security of patient data held on mobile phones has been a concern for some time , while some studies warn of the security risks of using mobile instant messaging in healthcare .
Patient attitudes and perceptions
When used as a method for monitoring the health status of remote patients, mobile phones should be applied only after due consideration to patient perceptions and feelings. One study in Italy revealed that patients with implantable cardioverter-defibrillators for cardiac resynchronisation therapy welcomed the use of mobile technologies for remote monitoring, but did not want them to replace their personal contact with health workers . Other studies using mobile technology for remote monitoring of health conditions found similar results [50, 51]. The Canadian study by Seto et al.  also advised that mobile phone-based remote monitoring will not be suitable for all patients. Those for example who suffer from poor manual dexterity, failing vision or a predisposition to high levels of anxiety may not be able to operate the remote mobile monitoring tools. These results are supported by similar findings from a study of older patients with disabilities in the USA . It should also be acknowledged that prosaic issues such as remembering to recharge a device and the simple maintenance of equipment within a patient's home may be problematic.
Kurniawan , Lorenz and Oppermann , and Gao and Koronios  provide detailed discussions of mobile app needs of older people, covering aspects such as ergonomics and user interface issues (e.g., memory aids, visual aids, haptic aids, features to minimise user error, and safety features), as well as the most commonly desired smartphone app functionalities in this age group. However, senior citizens of tomorrow will include the young and middle aged of today, who are more familiar with, and reliant on computers, smartphones and the Internet than previous generations, and are increasingly well-versed in using these technologies on a daily basis for study, work and leisure. This might partially contribute (in the long run) to solving some of the smartphone app usability and learnability issues, which current generations of older people are facing.
Which platform to support? A developer's dilemma
According to a recent MobiHealthNews report published in November 2010 , from February to September of the same year, Google's Android smartphone saw a 156.6% increase in the number of available health-related apps, compared with a 66.6% increase in Apple's health-related apps. The number of health-related apps in BlackBerry's App World increased by 141.4% over the same period. However, Apple is still leading in terms of the absolute total number of health-related apps available on any platform. As of September 2010, Apple's App Store offered the highest number of health-related apps at 7,136, followed by Google Android at 1,296 and BlackBerry at 338. These figures represent a healthy 78% increase in the number of health-related apps on these three platforms combined since February 2010. The MobiHealthNews report did not cover the latest Microsoft Windows Phone 7 platform as this was only officially launched during October/November 2010; older versions of the Windows platform (Windows Mobile 6.x) had less than a 3% market share of worldwide 2010 Q3 smartphone sales (vs. 25.5% for Android, 16.7% for Apple iOS and 14.8% for Research In Motion--RIM BlackBerry) , and were probably not considered in the MobiHealthNews report for this reason. However, the emerging Windows Phone 7 platform is rapidly gathering momentum and support by major smartphone providers , with a growing number of health-related apps already available from Windows Phone 7 Marketplace for the new handsets (Figure 1 - ). It remains to be seen how the emerging Windows Phone 7 platform will fare against the well-established competitor smartphone players and their planned updates in 2011/2012.
Desk-based health researchers who rely on the telephone to gather their data are faced with a growing problem. Increasingly, respondents are replacing their landlines with mobile telephones, and in so doing, they create a problem for the researcher. Legislation in some countries requires researchers to manually dial mobile phone numbers, thereby incurring significantly more cost in both time spent on calling and in call costs. Further, calling a mobile phone on some tariffs may use up respondents' air time, and there may therefore be an ethical onus on the researcher to reimburse the costs incurred .
It is clear from their rapid proliferation and deep penetration into society, that there are significant opportunities to exploit the potential of smartphones in healthcare . Mobile health (m-health) applications are on the rise, with many clinicians and allied health workers already adopting smartphones successfully in a diverse range of practices. Patients too are accessing health information, actively participating in their own care (participatory healthcare), and maintaining contact with their healthcare providers through smartphones [25, 27]. Chronic conditions such as diabetes mellitus and cardiovascular disease have in particular always been perceived as a special 'niche market' for smartphone apps [59–63].
Some commentators [27, 41] suggest that the natural progression for healthcare is to go mobile, because it is information intensive and smartphones can offer a convenient solution. Smartphones are useful to keep clinicians up to date with the latest medical techniques, and it is easy and cost effective to communicate updates, advice and guidelines to a distributed community of practice in this way. As has also been demonstrated, mobile phones are useful for monitoring and diagnosing health conditions when clinicians are a distance from their patients. Further, with the Internet playing an increasing role in medical education , it is likely that for itinerant health workers the most important access portal to this information will be handheld devices such as smartphones. Indeed, Georgetown Medical School in the USA, for example, is now requiring every medical student to have an iPhone , and surgeons are finding the device (and its apps) very useful in improving their diagnostic skills and education . Smartphones are therefore useful to the medical and health related professions because they are agile, handheld, easy to use and can be used on the move .
Later adopters of new technologies may not use them in the same way as early adopters. Developers of new smartphone health apps need to look 'at the margin', i.e., how the latest group of adopters are using smartphones and how the next group of new users may use it. Although there are hundreds of smartphone apps at the moment, the successful ones are, currently, likely to be for younger and healthier populations. The adoption of smartphones by older people and people with chronic disease will come with time, but also as the relative cost comes down, as apps become easier to use, as there is a greater awareness of what smartphones can do, with the establishment of more 'community knowledge' to deal with the complexity of the new technology , and perhaps with apps moved to dedicated devices tailored for the specific needs of particular user groups and applications. These changes will almost certainly happen, but probably not as quickly as producers may predict. Producers may need patience and to put more effort into making the technology easier and cheaper to use for all.
This eCAALYX project is supported in part by the Ambient Assisted Living (AAL) Joint Programme, a joint research and development funding activity by 20 European Member States and 3 Associated States, with the financial support of the European Community (EC) based on article 169 of the EC treaty. The eCAALYX Project Consortium includes 11 member organisations in five European countries.
- Blumberg SJ, Luke JV: Wireless Substitution: Early Release of Estimates From the National Health Interview Survey, January - June 2010. Hyattsville, MD: National Center for Health Statistics; 2010. [http://www.cdc.gov/nchs/data/nhis/earlyrelease/wireless201012.pdf]Google Scholar
- Mobile Future: Mobile Year in Review 2010. [http://www.mobilefuture.org/content/pages/mobile_year_in_review_2010?/yearendvideo]
- Microsoft: Get apps from Marketplace - Windows Phone 7. [http://www.microsoft.com/windowsphone/en-us/howto/wp7/apps/find-and-buy-apps-in-marketplace.aspx]
- Traxler J: Mobile Subcultures. In Connected minds, emerging cultures: Cybercultures in online learning. Edited by: Wheeler S. Charlotte, NC: Information Age; 2008:17–28.Google Scholar
- Puro J-P: Finland: a mobile culture. In Perpetual contact: Mobile communication, private talk, public performance. Edited by: Katz JE, Aakhus M. Cambridge: Cambridge University Press; 2002:19–29.Google Scholar
- Katz JE, Aakhus M, Editors: Perpetual contact: Mobile communication, private talk, public performance. Cambridge: Cambridge University Press; 2002.Google Scholar
- Curtis M: Distraction: Being human in a digital age. London: Futuretext; 2005.Google Scholar
- Jenkins H: Convergence culture: Where old and new media collide. London: New York University Press; 2006.Google Scholar
- Smartphones - Wikipedia [http://en.wikipedia.org/w/index.php?title=Smartphone&oldid=409683337]
- Rheingold H: Smart Mobs: The next social revolution. Cambridge, MA: Basic Books; 2002.Google Scholar
- Agar J: Constant touch: A global history of the mobile phone. Cambridge: Icon Books; 2004.Google Scholar
- Blaya JA, Fraser HS, Holt B: E-health technologies show promise in developing countries. Health Affairs 2010, 29: 244–251. 10.1377/hlthaff.2009.0894View ArticleGoogle Scholar
- Lindquist AM, Johansson PE, Petersson GI, Saveman B-I, Nilsson GC: The use of the Personal Digital Assistant (PDA) among personnel and students in health care: a review. Journal of Medical Internet Research 2008, 10: e31. 10.2196/jmir.1038View ArticleGoogle Scholar
- Kaplan W: Can the ubiquitous power of mobile phones be used to improve health outcomes in developing countries? Global Health 2006, 2: 9. 10.1186/1744-8603-2-9View ArticleGoogle Scholar
- Martinez AW, Phillips ST, Carillho E, Thomas SW, Sindi H, Whitesides GM: Simple Telemedicine for Developing Regions: Camera Phones and Paper-Based Microfluidic Devices for Real-Time, Off-Site Diagnosis. Analytical Chemistry 2008, 80: 3699–3707. 10.1021/ac800112rView ArticleGoogle Scholar
- Fraser HSF, Jazayeri D, Nevil P, Karacaoglu Y, Farmer PE, Lyon E, Smith Fawzi MKC, Leandre F, Choi SS, Mukherjee KS: An information system and medical record to support HIV treatment in rural Haiti. BMJ 2004, 329(7475):1142–1146. 10.1136/bmj.329.7475.1142View ArticleGoogle Scholar
- Burton C, Weller D, Sharpe M: Are electronic diaries useful for symptoms research? A systematic review. Journal of Psychosomatic Research 2007, 62: 553–561. 10.1016/j.jpsychores.2006.12.022View ArticleGoogle Scholar
- Fjeldsoe BS, Marshall AL, Miller YD: Behavior change interventions delivered by mobile telephone short-message service. American Journal of Preventive Medicine 2009, 36(2):165–173. 10.1016/j.amepre.2008.09.040View ArticleGoogle Scholar
- Lim MS, Hocking JS, Hellard ME, Aitken CK: SMS STI: a review of the uses of mobile phone text messaging in sexual health. International Journal of STD & AIDS 2008, 19: 287–290.View ArticleGoogle Scholar
- Pop-Eleches C, Thirumurthy H, Habyarimana JP, Zivin JG, Goldstein MP, de Walque D, Mackeen L, Haberer J, Kimaiyo S, Sidle J, Ngare D, Bangsberg DR: Mobile phone technologies improve adherence to antiretroviral treatment in a resource-limited setting: a randomized controlled trial of text message reminders. AIDS 2011, in press.Google Scholar
- Lane SJ, Heddle NM, Arnold E, Walker I: A review of randomized controlled trials comparing the effectiveness of hand held computers with paper methods for data collection. BMC Medical Informatics and Decision Making 2006, 6: 23. 10.1186/1472-6947-6-23View ArticleGoogle Scholar
- Coughlan J, Manduchi R: A Mobile Phone Wayfinding System for Visually Impaired Users. Assist technol Res Ser 2009, 25(2009):849.Google Scholar
- Kamel Boulos MN, Anastasiou A, Bekiaris E, Panou M: Geo-enabled technologies for independent living: examples from four European projects. Technology and Disability 2011, 23(1):7–17.Google Scholar
- Aanensen DM, Huntley DM, Feil EJ, al-Own F, Spratt BG: EpiCollect: linking smartphones to web applications for epidemiology, ecology and community data collection. PLoS One 2009, 4(9):e6968. 10.1371/journal.pone.0006968View ArticleGoogle Scholar
- Kailas A, Chong CC, Watanabe F: From mobile phones to personal wellness dashboards. IEEE Pulse 2010, (7/8):57–63. 10.1109/MPUL.2010.937244
- Free C, Phillips G, Felix L, Galli L, Patel V, Edwards P: The effectiveness of M-health technologies for improving health and health services: a systematic review protocol. BMC Research Notes 2010, 3: 250.View ArticleGoogle Scholar
- Terry M: Medical apps for smartphones. Telemed J E Health 2010, 16(1):17–22. 10.1089/tmj.2010.9999MathSciNetView ArticleGoogle Scholar
- Noel HC, Vogel DC, Erdos JJ, Cornwall D, Levin F: Home telehealth reduces healthcare costs. Telemed J E Health 2004, 10(2):170–183. 10.1089/tmj.2004.10.170View ArticleGoogle Scholar
- eCAALYX project [http://ecaalyx.org/]
- Kamel Boulos MN, Castellot Lou R, Anastasiou A, Nugent CD, Alexandersson J, Zimmermann G, Cortes U, Casas R: Connectivity for Healthcare and Well-Being Management: Examples from Six European Projects. Int J Environ Res Public Health 2009, 6(7):1947–1971. 10.3390/ijerph6071947View ArticleGoogle Scholar
- eCAALYX Mobile App (video) [http://www.youtube.com/watch?v=iwuP5EeNH4c]
- Android Developers [http://developer.android.com/index.html]
- CAALYX project [http://caalyx.eu/]
- MacDonell H: Fifth of Scots households 'living on less than £10,000'. The Scotsman 2008. [http://news.scotsman.com/latestnews/Fifth-of-Scots-households-39living.4370822.jp]Google Scholar
- ChangeWaveResearch [http://www.changewaveresearch.com/articles/2010/01/smart_phone_20100104.html]
- Ofcom: International Communications Market Report 2010 (Research Document - 2 December 2010). [http://stakeholders.ofcom.org.uk/binaries/research/cmr/753567/icmr/ICMR_2010.pdf]
- comScore: MobiLens survey (cited by Ofcom in above document , p.210). [http://www.comscore.com/Products_Services/Product_Index/MobiLens]
- Office for National Statistics: Ownership of Consumer Durables (Published 30 November 2010). [http://www.statistics.gov.uk/cci/nugget.asp?id=868]
- Fox S: Mobile Health 2010. Washington, DC: Pew Research Center's Internet & American Life Project; 2010. [http://pewinternet.org/Reports/2010/Mobile-Health-2010.aspx]Google Scholar
- Northern Ireland Statistics and Research Agency Central Survey Unit: Continuous Household Survey 2010. [http://www.csu.nisra.gov.uk/Mobile_phone_ownership_by_sex_and_age_Trend.htm]
- Sarasohn-Kahn J: How smartphones are changing health care for consumers and providers. Oakland, CA: California HealthCare Foundation; 2010. [http://www.chcf.org/publications/2010/04/how-smartphones-are-changing-health-care-for-consumers-and-providers]Google Scholar
- Gartner Research: Gartner Says Worldwide Mobile Phone Sales Grew 35 Percent in Third Quarter 2010; Smartphone Sales Increased 96 Percent (Press Release November 10, 2010). [http://www.gartner.com/it/page.jsp?id=1466313]
- Fox S, Purcell K: Chronic Disease and the Internet. Washington, DC: Pew Research Center's Internet & American Life Project; 2010. [http://pewinternet.org/Reports/2010/Chronic-Disease.aspx]Google Scholar
- Jones R, Goldsmith L: What is the evidence for the benefits and outcomes for digital health services? In Final Report to NHS Choices. University of Plymouth; 2009.Google Scholar
- Kamel Boulos MN, Rocha A, Martins A, Escriche Vicente M, Bolz A, Feld R, Tchoudovski I, Braecklein M, Nelson J, Ó Laighin G, Sdogati C, Cesaroni F, Antomarini M, Jobes A, Kinirons M: CAALYX: a new generation of location-based services in healthcare. International Journal of Health Geographics 2007, 6: 9. 10.1186/1476-072X-6-9View ArticleGoogle Scholar
- Fortunati L: Italy: stereotypes, true and false. In Perpetual contact: Mobile communication, private talk, public performance. Edited by: Katz JE, Aakhus M. Cambridge: Cambridge University Press; 2002:42–62.Google Scholar
- Lin B, Vassar JA: Mobile healthcare computing devices for enterprise-wide patient data delivery. International Journal of Mobile Communications 2004, 4: 343–353. 10.1504/IJMC.2004.005855View ArticleGoogle Scholar
- Barnes E, Hasvold P, Henriksen E, Strandanaes T: Risk analysis of information security in a mobile instant messaging and presence system for healthcare. International Journal of Medical Informatics 2007, 76: 677–687. 10.1016/j.ijmedinf.2006.06.002View ArticleGoogle Scholar
- Marzegalli M, Lunati M, Landolina M, Perego GB, Ricci RP, Guenzati G, Schirru M, Belvito C, Brambilla R, Masella C, Di Stasi F, Valsecchi S, Santini M: Remote monitoring of CRT-ICD: the multicenter Italian CareLink evaluation--ease of use, acceptance, and organizational implications. Pacing Clin Electrophysiol 2008, 31: 1259–1264. 10.1111/j.1540-8159.2008.01175.xView ArticleGoogle Scholar
- Peel E, Douglas M, Lawton J: Self monitoring of blood glucose in type 2 diabetes: longitudinal qualitative study of patients' perspectives. BMJ 2007, 335(7618):493. 10.1136/bmj.39302.444572.DEView ArticleGoogle Scholar
- Seto E, Leonard KJ, Masino C, Cafazzo JA, Barnsley J, Ross HJ: Attitudes of Heart Failure Patients and Health care Providers towards Mobile Phone-Based Remote Monitoring. Journal of Medical Internet Research 2010, 12(4):e55. 10.2196/jmir.1627View ArticleGoogle Scholar
- Pedlow R, Kasnitz D, Shuttleworth R: Barriers to the adoption of cell phones for older people with impairments in the USA. Technology and Disability 2010, 22(3):147–158.Google Scholar
- Kurniawan S: Older people and mobile phones: A multi-method investigation. Int J Human-Computer Studies 2008, 66: 889–901. 10.1016/j.ijhcs.2008.03.002View ArticleGoogle Scholar
- Lorenz A, Oppermann R: Mobile health monitoring for the elderly: Designing for diversity. Pervasive and Mobile Computing 2008, 5: 478–495. 10.1016/j.pmcj.2008.09.010View ArticleGoogle Scholar
- Gao J, Koronios A: Mobile Application Development for Senior Citizens. Proceedings of PACIS 2010, 14th Pacific Asia Conference on Information Systems, 9–12 July 2010; Taipei, Taiwan PACIS; 2010, 214–223. (Paper 65) [http://www.pacis-net.org/file/2010/S05–03.pdf]Google Scholar
- MobiHealthNews: The Fastest Growing and Most Successful Health & Medical Apps (Report published in November 2010). [http://mobihealthnews.com/the-fastest-growing-and-most-successful-health-medical-apps/]
- Samsung to favor WP7 over Android (Neowin news item, 17 November 2010) [http://www.neowin.net/news/samsung-to-favor-wp7-over-android]
- Krisberg K: Cell phone popularity a barrier for public health data collection: More Americans forgoing phone landlines. The Nation's Health 2009, 39(7):1–12. [http://thenationshealth.aphapublications.org/content/39/7/1.2.full]Google Scholar
- Lanzola G, Capozzi D, D'Annunzio G, Ferrari P, Bellazzi R, Larizza C: Going mobile with a multiaccess service for the management of diabetic patients. J Diabetes Sci Technol 2007, 1(5):730–737. [http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2769663/pdf/dst-01–0730.pdf]View ArticleGoogle Scholar
- Arsand E, Tufano JT, Ralston JD, Hjortdahl P: Designing mobile dietary management support technologies for people with diabetes. J Telemed Telecare 2008, 14(7):329–32. 10.1258/jtt.2008.007001View ArticleGoogle Scholar
- Rao A, Hou P, Golnik T, Flaherty J, Vu S: Evolution of data management tools for managing self-monitoring of blood glucose results: a survey of iPhone applications. J Diabetes Sci Technol 2010, 4(4):949–957. [http://www.ncbi.nlm.nih.gov/pubmed/20663461]View ArticleGoogle Scholar
- Oresko JJ, Duschl H, Cheng AC: A wearable smartphone-based platform for real-time cardiovascular disease detection via electrocardiogram processing. IEEE Trans Inf Technol Biomed 2010, 14(3):734–40. 10.1109/TITB.2010.2047865View ArticleGoogle Scholar
- Personal Health Monitor [http://personalheartmonitor.com/]
- The Accreditation Council for Continuing Medical Education (ACCME) Annual Report Data 2008 [http://www.accme.org/dir_docs/doc_upload/1f8dc476–246a-4e8e-91d3-d24ff2f5bfec_uploaddocument.pdf]
- Georgetown University School of Medicine (SOM): iPod Touch/iPhone Requirement FAQ. [http://som.georgetown.edu/76736.html]
- Dala-Ali BM, Lloyd MA, Al-Abed Y: The uses of the iPhone for surgeons. Surgeon 2011, 9(1):44–48. 10.1016/j.surge.2010.07.014View ArticleGoogle Scholar
- Mori K, Harada ET: Is learning a family matter?: Experimental study of the influence of social environment on learning by older adults in the use of mobile phones. Jpn Psychol Res 2010, 52(3):244–255. 10.1111/j.1468-5884.2010.00434.xView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.