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m-Health in Coronary Disease Preventive Care

Karla Santo, John Chalmers, Clara K. Chow, Julie Redfern

Karla Santo, John Chalmers, Clara K. Chow, Julie Redfern, The George Institute for Global Health, Camperdown, Australia
Karla Santo, John Chalmers, Clara Chow, Julie Redfern, Sydney Medical School, University of Sydney, Sydney, Australia
Clara Chow, Department of Cardiology, Westmead Hospital, Westmead, Australia

Correspondence to: Julie Redfern, Cardiovascular Division, The George Institute for Global Health, PO BOX M201, Missenden Rd, Camperdown, NSW 2050, Australia
Email: jredfern@georgeinstitute.org.au
Telephone: +61-299934574
Received: July 23, 2015
Revised: August 19, 2015
Accepted: August 23, 2015
Published online: December 10, 2015

ABSTRACT

Coronary heart disease (CHD) is the leading cause of death worldwide. Despite the overwhelming evidence of the benefits of preventive care, many patients with CHD fail to receive and adhere to the guideline recommendations, inclufding lifestyle advice and evidence-based cardiovascular medication. Prevention programmes such as cardiac rehabilitation can improve adherence to these recommendations and therefore, reduce hospitalisation and mortality, and improve quality of life. However, such programmes are under-utilised due to a number of barriers. These barriers can be overcome with the use of mobile technologies to deliver healthcare, called mHealth. In this review, we discuss the potential use of mHealth in a variety of medical conditions and we highlight some promising applications in CHD prevention.

© 2015 ACT. All rights reserved.

Key words:Coronary heart disease; Prevention; m-Health

Santo K, Chalmers J, Chow CK, Redfern J. m-Health in Coronary Disease Preventive Care. Journal of Cardiology and Therapy 2015; 2(6): 459-464 Available from: URL: http://www.ghrnet.org/index.php/jct/article/view/1516

BURDEN OF DISEASE AND THE UNDERUSE OF EFFECTIVE STRATEGIES

Coronary heart disease (CHD) is the leading cause of death worldwide with 7.4 million deaths in 2012[1]. From those surviving a first acute coronary event, approximately 50% have a recurrent event[2]. Recurrent coronary events can be reduced with appropriate use of cardiovascular (CV) medications, including aspirin, beta-blockers, angiotensin-converting enzyme (ACE) inhibitors and statins[3,4]. Moreover, lifestyle changes, such as smoking cessation, exercise and healthy diet, have an additive effect in reducing CV events and all-cause mortality soon after an acute coronary event[5]. European and American guidelines emphasize the importance of preventive pharmacotherapy and lifestyle advice[6-8]. However, an audit in Australia and New Zealand found that only a quarter of the patients admitted to hospital with an acute coronary syndrome received optimal preventive care[9]. Similarly, despite the overwhelming evidence of the benefits of CV medication and lifestyle changes, the recent EUROASPIRE IV survey, in which preventive care data was collected in 24 European countries, continues to show that the majority of patients fail to achieve and adhere to these guideline recommendations[10].

Adherence to evidence-based recommendations can be significantly improved with prevention programmes such as cardiac rehabilitation (CR) programmes[6]. While in the early years of CR programmes, there was a focus on exercise-based rehabilitation, in recent years, these programmes were expanded to include information and motivation to maintain a healthy lifestyle. Studies have shown that patients who attend CR programmes have reduction in their hospitalisation and mortality, as well as, an improvement in quality of life, when compared to patients who did not attend CR[11,12]. However, Attendance of CR programmes is sub-optimal with only 14 to 43% of eligible patients participating in such programmes[13]. Furthermore, only half of these patients complete the total length of the program[13].

Barriers to CR uptake and adherence have been studied and the majority of patients report a lack of time or work commitments, as well as, lack of transport and financial costs to attend hospital-based CR programs[14]. These barriers and sub-optimal use of CR highlight that there is a need for innovative approaches in coronary disease preventive care[15]. Innovative strategies to deliver CV preventive programmes such as home-based CR programmes were developed and were proven to have same effectiveness and higher adherence than hospital-based programmes[12]. Another alternative way to deliver CR programmes is the use of telecommunications technology (tele-Health), including telephone, video-conferencing and computer-based internet. Interventions delivered by such technologies were found to be effective in reducing risk factors for coronary disease and, potentially, also reduce mortality[16]. More recently, mobile communication technology has been increasingly used to deliver healthcare. Mobile communication technology has the potential to transform healthcare in a variety of medical conditions, and is particularly promising in long-term care of chronic diseases, including CHD. The aim of this review is to discuss how mobile communication technology can be used to improve healthcare delivery with a focus on CHD prevention by highlighting some of the promising evidence already available that can guide future mHealth research.

MOBILE TECHNOLOGY TO DELIVER HEALTHCARE - mHEALTH

Mobile communication technology has the potential to transform healthcare delivery across the globe[17]. In 2014, there were about as many mobile phone subscriptions globally, as there are people on Earth, around 7 billion[18]. In addition, mobile broadband subscriptions were expected to reach 2.3 billion with 55% in developing countries and Africa is leading the subscriptions’ growth[18]. This increasing access to mobile technologies will allow people in remote areas and resource-poor environment to be reached even when unpaved roads don’t reach them.

Mobile health or mHealth is defined as the provision of health-related services via mobile and wireless communication technologies, such as mobile phones, smartphones, tablets and personal digital assistants (PDAs), to support the achievement of health objectives[17,19]. mHealth can be delivered in different ways, including text-messages and smartphone apps, depending on the type of mobile device available and its internet capabilities. Furthermore, there is a diverse range of practical applications and uses of mHealth to address a number of health needs in different medical conditions, including education to patients and healthcare providers, data collection, diagnostics and screening, patient monitoring, treatment support, behavioural change support, and communication between patients, health professionals and health services.

Modes of mHealth delivery

The two main modes of mHealth delivery are mobile phone text-messages and smartphone applications. Mobile phone text-messaging is a relatively old technology that all digital mobile phones can deliver. Text-messages, also known as SMS (Short Message Service), are by definition short messages up to 160 characters that can be sent from the internet or from one mobile phone to one or more mobile phones[20]. Text-messages have become a convenient, important and inexpensive medium for communication. Hence, text-messages are being used in the healthcare setting as tool to support healthy behaviours and deliver preventive care. Text-messages have the advantages of an instant transmission and low cost, being less intrusive compared to phone calls[20], as well as, being a push technology, where the text-message will be received independent of the mobile phone being in use at the time. In addition, automated computer systems can be used to deliver text-messages on a large scale, being easy and saving the costs of hiring dedicated personnel for this task.

Smartphones are mobile devices that combine features of a traditional mobile phone with computer capabilities[21]. One of the major advantages of a smartphone is that it can run computer programs that can be downloaded to the smartphone, called applications or apps[21]. Smartphone apps have been increasingly studied for their potential use in delivery of healthcare. The easy to learn and user-friendly designs can greatly impact in the day-to-day management of chronic diseases[22]. Apps are a convenient way to deliver relevant information about medical conditions. Besides that, smartphone apps can have additional useful functions in management of diseases such as in-built diaries and messages, medication reminders and data-sharing capabilities[21]. Some disadvantages of smartphones and apps include the need for internet access to download the apps and the fact that the use of some of the app features such as data-sharing, in-built messages and reminders requires the user to access the app to be received (called pull technology). Smartphones also require some training for users who are not familiar with smartphone technology.

Potential uses and practical applications of mHeath

mHealth can be applied to a wide variety of health objectives, including but not limited to education, data collection, diagnostics, monitoring and communication. In this section, we will discuss the evidence available for some of these practical applications in a number of medical conditions. First, mobile technologies have the powerful ability to deliver education to patients and health professionals anywhere at any time. Patients can access information about a disease, its diagnosis and treatment, as well as, health services availability via their mobile devices. This is especially important in areas where there is a lack of health professionals to provide health education to the population. An example of the use of mHealth in health education is a program in Uganda and other countries in Africa, in which participants’ general knowledge about HIV transmission was tested in an interactive quiz delivered via text-messages[23]. In this quiz, when participants gave a wrong answer, they were educated about HIV by receiving a text-message with the correct answer; and they were also encouraged to undertake voluntary HIV testing at a local healthcare centre. Moreover, an increasing number of health professionals now use their mobile devices as a tool to access information on the internet as well as clinical calculator apps to determine patients´ risks, for example[22]. One project in Canada, provided nurses with PDAs to easily access tools and detailed health information while working in remote Aboriginal communities[17].

mHealth can also be used for remote data collection, as well as, diagnostics and screening. In Poland, PDAs were used to collect data for a national survey on current tobacco use among adults[17]. In diagnostics, a quick and easy diagnosis of atrial fibrillation with an iPhone application, which records a high quality single lead of ECG, is a promising novel technology[24,25]. Electronic decision support tools are very useful in screening and identifying individuals at a high risk of developing a disease to appropriately manage this risk. In India, a multi-faceted mobile clinical decision support system for cardiovascular disease screening and management is being tested[26,27].

Other potential uses that might overlap are patient monitoring and treatment support including behavioural change support. Smartphone applications provide a possible medium for monitoring asthma patients to help them manage their condition, but their effectiveness still needs further investigation[28]. In Kenya, a study found that treatment support with text-messages can improve medication adherence to anti-retroviral therapy with concurrent reduction in viral loads in patients with HIV[29]. Text-messages were also found to be effective in behaviour change in a study where sending motivational text-messages improved smoking cessation[30].

Lastly, mobile technologies are an ideal way of communication between patients, health professionals and health services, as well as, between health professionals. Studies have shown that the use of text-messages as appointment reminders is associated with increased attendance to the medical consultations[31]. Mobile devices can also be used to improve communication between health professionals, which in turn can improve management of complex medical cases through discussions with specialists as well as facilitate exchange of information about bed availability and referral of patients to higher levels of care. Communication among physicians using a mobile phone is increasingly been used worldwide and it has been tested in Ghana with improved communication about patient management[17].

mHEALTH IN CHD PREVENTION

As with other medical conditions, CHD healthcare can also be improved by the use of mobile technologies. In the last few years, mHealth interventions aimed to improve CHD prevention and treatment were developed and such interventions are being studied to assess their effectiveness. mHealth studies in CHD prevention have been evaluating the use of mobile phone text-messages and smartphone apps to deliver care. A few completed studies have exciting results, however as mHealth is still in its early stages of research, ongoing trials will provide more substantial evidence in the use of mobile technologies in CHD prevention during the next few years.

Text-messaging in CHD prevention

Text-messaging in CHD prevention has been increasingly studied. Potential uses of text-messages include improvement of medication adherence, behavioural change and patient monitoring. These potential uses have been investigated in a few randomised controlled trials (RCTs) (Table1). All studies evaluated secondary prevention interventions in patients with a diagnosis of CHD, except for one study which evaluated primary prevention of CHD in patients taking blood pressure and/or lipid-lowering medications[32]. Four completed RCTs showed positive results in improving medication adherence using a text-messaging intervention[32-35]. Three of these studies reported automated computer programs to deliver the text-messages and two required the participant to respond back to the messages. One study that evaluated behaviour change achieved improvements in cholesterol, blood pressure, body mass index and smoking cessation[36]. Another trial evaluated patient monitoring and communication with a health professional and showed improvements in CV risk profile[37]. Most of these studies were small, but had overall good quality. In addition, one ongoing trial is also investigating the effects of text-messaging in behavioural change[38].

Smartphone apps in CHD prevention

In addition to text-messaging, smartphone apps can also be used as a tool to deliver CHD prevention. A recent review discussed the availability of an increasing number of health-related apps, including apps for CV diseases, in the smartphones app stores, despite a lack of regulation and evidence-based development of such apps[41]. The review pointed out the need for evidence-based apps development and discussed the core components and ideal features that should be present in a CHD prevention app for a higher success rate, including simplicity, credible information, rewards, personalisation and social components. However, there is still a small number of studies investigating if smartphone apps can improve CHD prevention. In our review, we discuss three studies that might help address this research question.

The first study in the United States, a Mayo Clinic research group developed a smartphone app to deliver CR[42]. In a RCT, the Mayo Clinic group compared the CR smartphone app intervention to a control group who received a standard CR program. Thirty-seven patients in the smartphone app group were required to perform daily tasks and enter risk factor information, such as weight, blood pressure, glucose, lipids, physical activity and diet throughout the 90-day program. Patients in the intervention group had significant reductions in weight and blood pressure, as well as, 40% reduction in rehospitalisation and emergency department visits.

In another study, a research group from Australia developed a Care Assessment Platform to deliver a CR programme, called the CAP-CR[43]. The patients in the CAP-CR programme were provided with a smartphone with pre-installed health diary and activity monitoring apps, a blood pressure monitor and a weight scale. These devices were used to monitor the patients, as well as, deliver motivational and educational materials via text-messages, audio and video files. Physical activity monitoring was automatic through the smartphone’s in-built accelerometer. Participants were advised to make daily entries in the health diary app reporting their weight, blood pressure, sleep duration and quality, stress, meals, and, if relevant, alcohol consumption and smoking. These data were synchronised to a web portal, where mentors would have access to this information to guide discussions in weekly consultations with the participants via the web portal. The CAP-CR programme was investigated in a RCT in which 120 patients were randomised to traditional CR or CAP-CR for 6 weeks. The primary outcome measures were uptake, adherence and completion of a CR programme. Secondary outcomes included lifestyle factors (physical activity, nutrition, psychosocial functioning), biomedical risk factors (blood pressure, heart rate, weight, body mass index, waist circumference, lipid profile) and health-related quality of life. The uptake, adherence and completion of CR programme were significantly higher in CAP-CR compared to traditional CR. Secondary outcomes were not significantly different between groups, except for diastolic blood pressure and quality of life, which were better in the CAP-CR group, and triglycerides which was better in the traditional CR group.

Lastly, an ongoing RCT aims to test whether a consumer-focused e-health portal will improve CV risk factor control[44]. The CONNECT study plans to enrol 2000 participants with diagnosis of CVD or who are at high risk of CVD. The intervention focuses on CV risk assessment, medication adherence, lifestyle change and patient-provider communication. The intervention will be integrated with general practitioners software to capture data of each participant into the CONNECT app (Figure 1), such as medications in use, blood pressure measurements, and lipids and glucose laboratory results. The key features of the app include personal health record summary, use of interactive tools and resources such as a CV risk calculator that allows participants to explore “what if scenarios”, access to lifestyle and medication reminders, and goal-setting. The primary outcome of the study is proportion of participants meeting blood pressure and lipid targets. The secondary outcomes include difference in body mass index, physical activity levels, smoking cessation, medication adherence, quality of life, hospital readmissions and all-cause mortality.

FUTURE DEVELOPMENT AND RESEARCH

mHealth in CHD prevention remains an emerging area of research. To try to estimate how much evidence can be built in the next few years, we conducted a search on Clinicaltrials.gov database using the search terms mHealth, mobile health, mobile phone, cell phone OR smartphone AND cardiovascular in June 2015. We found another five ongoing RCTs evaluating either text-messaging or smartphone apps for either primary or secondary prevention of CHD. The results of ongoing studies will add to the mHealth body of evidence.

It is important to highlight that there is a need for large, high-quality RCTs with hard outcomes to provide more robust evidence of effectiveness. Alongside evaluation of effectiveness, future studies should have a process evaluation to better understand why an intervention works or not and which components or features of the intervention are essential and contribute most to the success of the intervention. Furthermore, future research should also include cost-effectiveness analysis as the development of interventions using technology can be expensive and time-consuming, therefore increasing the costs of the intervention. Another important aspect to be considered when developing future mHealth interventions is having mechanisms to ensure privacy and security in the data transmission and storage. Finally, future research should also investigate mHealth effectiveness in different age groups, socio-economic status and cultural contexts.

CONCLUSION

In this review, we have discussed the potential use of mHealth in a variety of medical conditions and we highlighted some promising applications in CHD. CHD prevention and management, amongst other chronic diseases, faces a challenge of sub-optimal patient’s adherence to guideline-recommended medications and lifestyle changes. Some barriers to adherence can be overcome with the use of mobile technologies. Recent studies of the use of mHealth in CHD patients show exciting benefits in medication adherence, behavioural change and patient monitoring. Although there is still little evidence of these benefits, we believe that mHealth has the potential to transform healthcare delivery in CHD.

ACKNOWLEDGMENTS

Karla Santo is funded by a University of Sydney International Postgraduate Research Scholarship. Julie Redfern is funded by a Career Development and Future Leader Fellowship co-funded by the National Health and Medical Research Council and National Heart Foundation. Clara K. Chow is funded by a Career Development Fellowship co-funded by the National Health and Medical Research Council and National Heart Foundation and Sydney Medical Foundation Chapman Fellowship. JC, CC and JR are investigators on NHMRC program grant ID1052555.

CONFLICT OF INTERESTS

There are no conflicts of interest with regard to the present study.

REFERENCES

1.World Health Organisation: The top 10 cause of death. Fact Sheet N° 310. 2014.

2.Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, et al. Heart disease and stroke statistics--2015 update: a report from the American Heart Association. Circulation. 2015 Jan 27;131(4):e29-322. PubMed PMID: 25520374. Epub 2014/12/19. eng.

3.World Health Organisation: Cardiovascular diseases. Fact Sheet N° 317. 2015.

4.Nieuwlaat R, Schwalm JD, Khatib R, Yusuf S. Why are we failing to implement effective therapies in cardiovascular disease? Eur Heart J. 2013 May;34(17):1262-9. PubMed PMID: 23376448. English.

5.Chow CK, Jolly S, Rao-Melacini P, Fox KA, Anand SS, Yusuf S. Association of diet, exercise, and smoking modification with risk of early cardiovascular events after acute coronary syndromes. Circulation. 2010 Feb 16;121(6):750-8. PubMed PMID: 20124123. English.

6.Hamm CW, Bassand JP, Agewall S, Bax J, Boersma E, Bueno H, et al. ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation: The Task Force for the management of acute coronary syndromes (ACS) in patients presenting without persistent ST-segment elevation of the European Society of Cardiology (ESC). Eur Heart J. 2011 Dec;32(23):2999-3054. PubMed PMID: 21873419. Epub 2011/08/30. eng.

7.Steg PG, James SK, Atar D, Badano LP, Blomstrom-Lundqvist C, Borger MA, et al. ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation. Eur Heart J. 2012 Oct;33(20):2569-619. PubMed PMID: 22922416. Epub 2012/08/28. eng.

8.Anderson JL, Adams CD, Antman EM, Bridges CR, Califf RM, Casey DE, Jr., et al. 2011 ACCF/AHA Focused Update Incorporated Into the ACC/AHA 2007 Guidelines for the Management of Patients With Unstable Angina/Non-ST-Elevation Myocardial Infarction: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. Circulation. 2011 May 10;123(18):e426-579. PubMed PMID: 21444888. Epub 2011/03/30. eng.

9.Redfern J, Hyun K, Chew DP, Astley C, Chow C, Aliprandi-Costa B, et al. Prescription of secondary prevention medications, lifestyle advice, and referral to rehabilitation among acute coronary syndrome inpatients: results from a large prospective audit in Australia and New Zealand. Heart. 2014 Aug;100(16):1281-8. PubMed PMID: 24914060. Pubmed Central PMCID: PMC4112453. Epub 2014/06/11. eng.

10.Kotseva K, Wood D, De Bacquer D, De Backer G, Rydén L, Jennings C, et al. EUROASPIRE IV: A European Society of Cardiology survey on the lifestyle, risk factor and therapeutic management of coronary patients from 24 European countries. European Journal of Preventive Cardiology. 2015 February 16, 2015.

11.Anderson L TR. Cardiac rehabilitation for people with heart disease: an overview of Cochrane systematic reviews (Review). Cochrane Database Syst Rev. 2014 (12):CD011273.

12.Dalal HM, Zawada A, Jolly K, Moxham T, Taylor RS. Home based versus centre based cardiac rehabilitation: Cochrane systematic review and meta-analysis. BMJ. 2010;340:b5631. PubMed PMID: 20085991. Pubmed Central PMCID: PMC2808470. English.

13.Davies P, Taylor F, Beswick A, Wise F, Moxham T, Rees K, et al. Promoting patient uptake and adherence in cardiac rehabilitation. Cochrane Database Syst Rev. 2010 (7):CD007131. PubMed PMID: 20614453. English.

14.Neubeck L, Freedman SB, Clark AM, Briffa T, Bauman A, Redfern J. Participating in cardiac rehabilitation: a systematic review and meta-synthesis of qualitative data. European Journal of Cardiovascular Prevention & Rehabilitation. 2011 May 5, 2011.

15.Sandesara PB, Lambert CT, Gordon NF, Fletcher GF, Franklin BA, Wenger NK, et al. Cardiac rehabilitation and risk reduction: time to "rebrand and reinvigorate". J Am Coll Cardiol. 2015 Feb 3;65(4):389-95. PubMed PMID: 25634839. Epub 2015/01/31. eng.

16.Neubeck L, Redfern J, Fernandez R, Briffa T, Bauman A, Freedman SB. Telehealth interventions for the secondary prevention of coronary heart disease: a systematic review. European journal of cardiovascular prevention and rehabilitation: official journal of the European Society of Cardiology, Working Groups on Epidemiology & Prevention and Cardiac Rehabilitation and Exercise Physiology. 2009 Jun;16(3):281-9. PubMed PMID: 19407659.

17.WHO. mHealth - New horizons for health through mobile technologies. Global Observatory for eHealth series, 2011.

18.Measuring the Information Society Report ITU, 2014.

19.Consulting VW. mHealth for development: The opportunity of mobile technology for healthcare in the developing world. Washington, D.C. and Berkshire, UK: UN Foundation-Vodafone Foundation Partnership, 2009.

20.Vodopivec-Jamsek V, de Jongh T, Gurol-Urganci I, Atun R, Car J. Mobile phone messaging for preventive health care. Cochrane Database Syst Rev. 2012;12:CD007457. PubMed PMID: 23235643. English.

21.Pandher PS, Bhullar KK. Smartphone applications for seizure management. Health informatics journal. 2014 Jul 18. PubMed PMID: 25038202. Epub 2014/07/20. Eng.

22.Pandey A, Hasan S, Dubey D, Sarangi S. Smartphone apps as a source of cancer information: changing trends in health information-seeking behavior. Journal of cancer education: the official journal of the American Association for Cancer Education. 2013 Mar;28(1):138-42. PubMed PMID: 23275239. Epub 2013/01/01. eng.

23.Hoefman BA, B., editor Using SMS for HIV/AIDS education and to expand the use of HIV testing and counselling services at the AIDS Information Centre (AIC) Uganda. The 2nd International Conference on M4D Mobile Communication Technology for Development; 2010; Kampala, Uganda.

24.Lau JK, Lowres N, Neubeck L, Brieger DB, Sy RW, Galloway CD, et al. iPhone ECG application for community screening to detect silent atrial fibrillation: a novel technology to prevent stroke. International journal of cardiology. 2013 Apr 30;165(1):193-4. PubMed PMID: 23465249. Epub 2013/03/08. eng.

25.Lowres N, Neubeck L, Salkeld G, Krass I, McLachlan AJ, Redfern J, et al. Feasibility and cost-effectiveness of stroke prevention through community screening for atrial fibrillation using iPhone ECG in pharmacies. The SEARCH-AF study. Thromb Haemost. 2014 Jun;111(6):1167-76. PubMed PMID: 24687081. Epub 2014/04/02. eng.

26.Praveen D, Patel A, Raghu A, Clifford GD, Maulik PK, Mohammad Abdul A, et al. SMARTHealth India: Development and Field Evaluation of a Mobile Clinical Decision Support System for Cardiovascular Diseases in Rural India. JMIR mHealth and uHealth. 2014;2(4):e54. PubMed PMID: 25487047. Pubmed Central PMCID: PMC4275493. Epub 2014/12/10. eng.

27.Raghu A, Praveen D, Peiris D, Tarassenko L, Clifford G. Engineering a mobile health tool for resource-poor settings to assess and manage cardiovascular disease risk: SMARThealth study. BMC medical informatics and decision making. 2015;15:36. PubMed PMID: 25924825. Pubmed Central PMCID: PMC4430914. Epub 2015/05/01. eng.

28.Marcano Belisario JS HK, Greenfield G, Car J, Gunn LH. Smartphone and tablet self management apps for asthma. Cochrane Database Syst Rev. 2013 (11).

29.Lester RT, Ritvo P, Mills EJ, Kariri A, Karanja S, Chung MH, et al. Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial. Lancet. 2010 Nov 27;376(9755):1838-45. PubMed PMID: 21071074. Epub 2010/11/13. eng.

30.Free C, Knight R, Robertson S, Whittaker R, Edwards P, Zhou W, et al. Smoking cessation support delivered via mobile phone text messaging (txt2stop): a single-blind, randomised trial. Lancet. 2011 Jul 2;378(9785):49-55. PubMed PMID: 21722952. Pubmed Central PMCID: PMC3143315. Epub 2011/07/05. eng.

31.Free C, Phillips G, Watson L, Galli L, Felix L, Edwards P, et al. The effectiveness of mobile-health technologies to improve health care service delivery processes: a systematic review and meta-analysis. PLoS Med. 2013;10(1):e1001363. PubMed PMID: 23458994. Pubmed Central PMCID: PMC3566926. Epub 2013/03/06. eng.

32.Wald DS, Bestwick JP, Raiman L, Brendell R, Wald NJ. Randomised trial of text messaging on adherence to cardiovascular preventive treatment (INTERACT Trial). PloS one. 2014 05 Dec;9(12). PubMed PMID: 2014973127. English.

33.Park LG, Howie-Esquivel J, Chung ML, Dracup K. A text messaging intervention to promote medication adherence for patients with coronary heart disease: A randomized controlled trial. Patient education and counseling. 2014;94(2):261-8. PubMed PMID: CN-00978882 NEW. English.

34.Pandey AK, Choudhry N. Text message reminders to address medication non-adherence in post-MI patients: A one year intervention study. Can J Cardiol. 2014 October;30(10 supplement):S179. PubMed PMID: 71658565. English.

35.Quilici J, Fugon L, Beguin S, Morange PE, Bonnet JL, Alessi MC, et al. Effect of motivational mobile phone short message service on aspirin adherence after coronary stenting for acute coronary syndrome. International journal of cardiology. 2013 Sep 20;168(1):568-9. PubMed PMID: 23462636.

36.Chow CK, Redfern J, Hillis GS, et al. Effect of lifestyle-focused text messaging on risk factor modification in patients with coronary heart disease: A randomized clinical trial. Jama. 2015;314(12):1255-63.

37.Blasco A, Carmona M, Fernandez-Lozano I, Salvador CH, Pascual M, Sagredo PG, et al. Evaluation of a telemedicine service for the secondary prevention of coronary artery disease. J Mol Signal. 2012 Jan-Feb;32(1):25-31. PubMed PMID: 22113368. English.

38.Dale LP, Whittaker R, Jiang Y, Stewart R, Rolleston A, Maddison R. Improving coronary heart disease self-management using mobile technologies (Text4Heart): a randomised controlled trial protocol. Trials. 2014;15:71. PubMed PMID: 24588893. Pubmed Central PMCID: PMC4015816. English.

39.Chow CK, Redfern J, Thiagalingam A, Jan S, Whittaker R, Hackett M, et al. Design and rationale of the tobacco, exercise and diet messages (TEXT ME) trial of a text message-based intervention for ongoing prevention of cardiovascular disease in people with coronary disease: A randomised controlled trial protocol. BMJ Open. 2012;2(1). PubMed PMID: 2012134167. English.

40.Redfern J, Thiagalingam A, Jan S, Whittaker R, Hackett ML, Mooney J, et al. Development of a set of mobile phone text messages designed for prevention of recurrent cardiovascular events. Eur J Prev Cardiol. 2014 Apr;21(4):492-9. PubMed PMID: 22605787. Epub 2012/05/19. eng.

41.Neubeck L, Lowres N, Benjamin EJ, Freedman SB, Coorey G, Redfern J. The mobile revolution-using smartphone apps to prevent cardiovascular disease. Nat Rev Cardiol. 2015 Jun;12(6):350-60. PubMed PMID: 25801714. Epub 2015/03/25. Eng.

42.Widmer RJ, Allison T, Lerman L, Lerman A. THE AUGMENTATION OF USUAL CARDIAC REHABILITATION WITH AN ONLINE AND SMARTPHONE-BASED PROGRAM IMPROVES CARDIOVASCULAR RISK FACTORS AND REDUCES REHOSPITALIZATIONS. Journal of the American College of Cardiology. 2014;63(12_S).

43.Varnfield M, Karunanithi M, Lee CK, Honeyman E, Arnold D, Ding H, et al. Smartphone-based home care model improved use of cardiac rehabilitation in postmyocardial infarction patients: results from a randomised controlled trial. Heart. 2014 Nov;100(22):1770-9. PubMed PMID: 24973083. English.

44.Redfern J, Usherwood T, Harris MF, Rodgers A, Hayman N, Panaretto K, et al. A randomised controlled trial of a consumer-focused e-health strategy for cardiovascular risk management in primary care: the Consumer Navigation of Electronic Cardiovascular Tools (CONNECT) study protocol. BMJ Open. 2014;4(2):e004523. PubMed PMID: 24486732. Pubmed Central PMCID: PMC3918991. Epub 2014/02/04. eng.

Peer reviewer:Adnan K. Chhatriwalla, MD, Division of Cardiology, Saint Luke’s Mid America Heart Institute, 4330 Wornall Rd, Suite 2000, Kansas City, MO, USA; Lee Kin Tong, Joe, Resident Specialist, Department of Medicine, Pamela Youde Nethersole Eastern Hospital, 3 Lok Man Road, Chai Wan, Hong Kong.

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