Evidence of poor adherence to secondary prevention after acute coronary syndromes: possible remedies through the application of new technologies
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* Kevin Cheng
* Nicola Ingram
* Jan Keenan
* Robin P Choudhury

## Abstract

Adherence to secondary prevention medications following acute coronary syndrome (ACS) is disappointingly low, standing around 40–75% by various estimates. This is an inefficient use of the resources devoted to their development and implementation, and also puts patients at higher risk of poor outcomes post-ACS. Numerous factors contribute to low adherence including poor motivation, forgetfulness, lack of education about medications, complicated polypharmacy of ACS regimens, (fear of) adverse side effects and limited practical support. Using technology to improve adherence in ACS is an emerging strategy and has the potential to address many of the above factors—computer-based education and mobile phone reminders are among the interventions trialled and appear to improve adherence in patients with ACS. As we move into an increasingly technological future, there is potential to use devices such as smartphones and tablets to encourage patient responsibility for medications. These handheld technologies have great scope for allowing patients to view online medical records, education modules and reminder systems, and although research specific to ACS is limited, they have shown initial promise in terms of uptake and improved adherence among similar patient populations. Given the overwhelming enthusiasm for handheld technologies, it would seem timely to further investigate their role in improving ACS medication adherence.

*   QUALITY OF CARE AND OUTCOMES

### Key messages

#### What is already known about this subject?

*   Various studies have shown adherence to secondary prevention medications to be poor after acute coronary syndrome. Data suggest adherence is improved via the use of a limited range of technologies—however, the utilisation of recent technologies (eg, smartphones and tablet apps) has great potential but is not well researched.

#### What does this study add?

*   This literature review clarifies the problem facing clinicians in terms of adherence and synthesises what is known about the use of technology in improving adherence after acute coronary syndrome. This review also considers potential future uses of recent technological innovations, drawing attention to the benefits they may offer.

#### How might this impact on clinical practice?

*   This may have effects on clinical practice such as to encourage further research into developing ways of promoting adherence through these popular technologies.

## Introduction

Pharmacological interventions, so-called secondary prevention, reduce morbidity and mortality after acute coronary syndrome (ACS).1 Clinical trials demonstrate efficacy, and the considered implementation of their findings, aided by guidelines (eg, the National Institute of Health and Care Excellence (NICE)), promote best prescribing practice.2 However, to extract benefit, patients must actually take prescribed agents. Defined as ‘the extent to which a person's behaviour—taking medication, following a diet and/or executing lifestyle changes, corresponds with agreed recommendations from a health care provider’, adherence is crucial for the delivery of effective medical treatment.3

Current secondary prevention medications include ACE inhibitors (ACEI) or angiotensin receptor blockers, statins, β-blockers and antiplatelet agents. Significant non-adherence has prevented their translation into maximal clinical benefit. Associated with excess mortality and a significant financial burden, the need to address non-adherence to secondary prevention medication after ACS is of the utmost clinical and public health importance.4 ,5

Advances in technology may offer solutions. If they are able to address the multifactorial nature of non-adherence, innovative technological interventions have the potential to engage with patients via interactive interfaces and provide real-time feedback. Additionally, they may be tailored to patient-specific needs. In this review, we will outline the extent and reasons, modifiable as well as non-modifiable, for patient non-adherence, and critically evaluate technological interventions that have been developed to improve secondary prevention after ACS.

## Extent of non-adherence

The WHO estimates that, in developed countries, adherence to medication for chronic diseases averages only 50%.3 In particular, adherence to secondary prevention medication after ACS is suboptimal worldwide.4 Most studies have investigated secondary adherence (continuation of medication) although some have assessed primary adherence (prescription initiation). In a cohort study in Ontario, Canada, only 73% of patients filled their discharge prescription at 1 week after discharge post-ACS, with increased 1-year mortality associated with fewer initial prescriptions filled.6

Short and long-term secondary adherence is also poor.7–12 In a multicentre study involving 19 US hospitals (n=2498), 1 month after discharge on aspirin, β-blockers and statins, 34% of patients had stopped at least one and 12% had stopped all three medications.7 At 1–2 years, studies have shown only 40.1–45% of patients are adherent to β-blockers or statins with further reductions seen over a 10-year follow-up.8–10

Importantly, mortality increases with non-adherence. Increased mortality is associated with poor β-blocker or clopidogrel adherence at 1 year (2.6-fold increased mortality or non-fatal myocardial infarction), and statins and β-blockers in the longer-term (median 2.4 years of follow-up).5 ,12–14 In addition, over median follow-up of 23 months, a prospective cohort study using the Finnish Prescription Register demonstrated a dose–response relationship between (1) regular (2) irregular or (3) no statin use and mortality (4.9%, 9.4% and 14.9%, respectively), and cardiovascular death in particular (2.9%, 5.1% and 7.4%).14 Non-adherence to dual antiplatelet therapy (aspirin and clopidogrel) after stent implantation also poses the added risk of potentially catastrophic stent thrombosis.15

It is worth noting, however, that these figures merely give an indication of adherence, which varies between study population according to demographics and means of measurement (eg, patient self-reporting vs assessing prescription refills).16 Healthier behaviour in general (‘healthy adherer effect’) may also be a contributing factor—indeed, non-adherence to placebo is associated with a twofold increase in mortality compared to placebo adherence.17 Some estimates are more conservative—Eagle *et al*18 reported lower discontinuation rates at 6 months (8% for aspirin, 12% β-blockers, 20% ACEI and 13% for statins); perhaps a reflection of a younger study population. Even by these measures, however, the scale is considerable and warrants improvement.

## Reasons for non-adherence

Although diverse and often coexisting reasons make it difficult to identify why ACS secondary prevention regimens are not adhered to, certain factors have been consistently associated with poor medication adherence. Patient perception of the medication regimen tallies with adherence, with those patients rating (1) high on a scale of perceived necessity of medicines prescribed for ACS and (2) low on a scale of concerns about side effects being less likely to miss doses.19 Similarly, patient-reported reasons for discontinuation of ACS medication include the belief that it was not helping with their condition.20 Patient motivation also appears a significant issue, and depression (though not anxiety) persistently correlates with lower adherence to ACS medications.21 ,22 Severity of depression was even associated with the extent of non-adherence in one particular study.21 Furthermore, a change from the patient's baseline depressive symptoms brought about an improvement in adherence.21 ,22 Considering an estimated one-third of patients with ACS suffer from depression, this would appear an important area to address.21

A motivational issue reported by patients is simply forgetting to take their medications: in a study of 190 patients with ACS, 23.2% declared this as a reason on the Morisky Medication Adherence Scale (MMAS) questionnaire (an 8-item self-reported adherence questionnaire).23 This may in part be a reason for the poor adherence associated with the prescription of multiple medications.23 ,24 Up to six medications may form the post-ACS regimen alone and lack of reminders (such as pillboxes and calendars) was also significantly associated with poor adherence.24 Similarly, patients with fewer practical supports (in particular a spouse) are less likely to be adherent, possibly due to a lack of encouragement or prompting.25–27 The level of expertise that patients are exposed to in the rehabilitation setting (eg, cardiologist or tertiary care) may also play a part: Eagle *et al*18 noted that while adherence to aspirin was 92% at 6 months, analysis showed this to be associated with care by a cardiologist rather than a non-specialist.6 ,28 A similar association has been demonstrated in patients with heart failure, where improved survival was seen in patients under cardiologist or mixed general practitioner (GP) and cardiologist care compared to GP care alone.29 Since these studies rely on simple correlation between variables and may be biased by using patient self-reporting, these results must be treated with caution, but the effects of these factors, replicated across studies, are sufficiently great to be recognised by the patients themselves. Furthermore, the above factors are modifiable: better education for patients and their carers about medications, treatment for depression and a system of reminders may all contribute to improved adherence.

Additional non-modifiable factors affect adherence. Perhaps the most serious deterrents are the adverse effects of the medications themselves, as evidenced by the poorer adherence among patients on clopidogrel who experienced episodes of bleeding (HR 1.34 for discontinuation of clopidogrel after experiencing bleeding).12 The presence of comorbidities also tallies with the likelihood of taking medications post-ACS—the low adherence group studied having an average of 3.8 coexisting conditions compared with 1.3 in the high-adherence group.23 Older age has been consistently linked with lower adherence to medications prescribed after an episode of ACS; self-reported reasons for this include side effects being a greater deterrent in the older population.12 ,20 ,23 Gender does not appear to correlate with poor adherence but there is a suggestion that patients with higher educational status or who are employed are less likely to discontinue medications.23 ,24 While they may not be directly influenced, these factors may be considered when tackling adherence, such as better education about side effects, and may be tailored to what studies show is a broadly similar demographic between populations of patients with ACS (mean age around 60 with a male preponderance). There are, however, international differences depending on healthcare system: cost of medicines may, therefore, be a major deterrent to adherence in the US studies but not such a problem encountered, for instance, in the UK National Health Service (NHS) system, which should be taken into consideration when interpreting these studies as well as when designing programmes to improve adherence.20 ,24

## Technological interventions in ACS

In addressing these modifiable factors, innovative technological interventions may hold the key.30–33 However, increasing the number of components poses many difficulties not least logistically but financially. Consequently, technology may offer the potential to meet these requirements, especially with advances that allow greater patient interaction and real-time feedback, features that may also serve as an extension of physician contact outside of the clinic. Many studies to date, however, have only investigated simple interventions consisting of one or two components (table 1). First, we will review interventions that have been trialled to improve adherence to secondary prevention medications after ACS and then consider future innovative technological directions.

View this table:
[Table 1](http://openheart.bmj.com/content/2/1/e000166/T1)

Table 1 
Studies investigating the effect of technological interventions on adherence to secondary prevention medications after acute coronary syndromes

### Electronic reminders

Such interventions have focused on daily text messaging (short message service—SMS) and follow-up telephone calls. Evidence suggests that patients respond to prompting—Quilici *et al*34 investigated the use of personalised daily motivational SMS messages in patients after coronary angioplasty. Using SMS messaging to remind patients to take their antiplatelet medications, self-reported non-adherence significantly improved over 1 month (OR 0.37). Importantly, to mitigate recall bias, platelet function testing (via arachidonic acid-induced platelet aggregation) was used to provide objective, biological data, which confirmed these improvements.34 While SMS messaging may be cheap and allows scope for tailored intervention, patient education may not necessarily be improved—patient education sessions were still provided on discharge to emphasise the importance of adherence. Paternalistic in nature, they do not encourage patients’ own responsibility and initiative to improve their own health, something more interactive interventions may offer.

Limitations to this study also include its short time period (1 month), lack of a clinical endpoint as well as the use of complete aspirin discontinuation as non-adherence—more subtle changes, for example, missed doses, were not accounted for. Intriguingly, compared to previous studies, the proportion of patients on usual standard care who had stopped aspirin was low—6.4% (self-reported) and 11.2% (platelet function test)—a feature commonly seen in randomised controlled trials compared to cohort studies. The results of a longer-term follow-up would be of particular interest in light of a systematic review by Vervloet *et al*35 that also reported short-term (<6 months) but not long-term effectiveness of electronic reminders.

### Technology-assisted patient education

These range from the basic, for example, telephone calls and voice messages, to more complex but unevidenced interventions such as smartphone or tablet (eg, iPad) applications (apps). Such ‘telehealth’ interventions have shown promise.36 ,37 Indeed, nurse-led telephone calls, in a recent randomised controlled trial, significantly improved 1-year adherence to dual antiplatelet therapy after drug-eluting stent implantation for ACS.38 Four phone calls (within 7 days, 1, 6 and 9 months after stent implantation) assessed adherence to dual antiplatelet therapy and emphasised its importance, including the risks of non-adherence. Measured as the proportion of days covered by prescription refills, phone calls significantly improved median adherence scores—aspirin 99.2% vs 90.2%; clopidogrel 99.3% vs 91.5% (p<0.0001 for both). Indeed, 87.2% of patients were persistent on clopidogrel at 1 year compared to 43.1% of controls. Limitations, however, include its setting in a tertiary care university cardiovascular centre and a surrogate score for adherence (pharmacy refills). There were no clinical end points and adherence scores were high relative to other studies.

Where resources allow, a combination of the above strategies may prove most beneficial. A recent study has shown improved adherence in a group of patients with ACS receiving a package of education, voice messages (educational and reminder) and a pharmacist-led tailored medication regimen compared with the usual care group (89.3% vs 73.9%).39 There is some doubt as to whether this modest improvement justifies the cost of implementing such a comprehensive programme, and the case would be strengthened if these results were to be replicated and clinical benefit demonstrated.

Furthermore, a plethora of apps for smartphones and tablets is available on the market. Not only can these apps provide information on cardiac health but they can also act as diaries and reminder systems. Although potentially useful as patient aids, evidence of clinical benefit from them is largely anecdotal.

## Future directions

Considering the current shortage of studies particular to ACS, it is necessary to look to technologies aimed at similar population groups, for instance heart failure cohorts. These range from simple electronic prompts to more complex, interactive packages of education, health records and reminders accessible via smartphone and tablet devices (table 2). Didactic approaches, such as an alarm system to alert patients when medication is due, may have some effect. An audiovisual reminder attached to the blister packs of medications of a group of patients with hypertension produced better adherence to the antihypertensives (91% vs 85%) but had no effect on blood pressure values.40 Furthermore, around 50% of the patients approached chose not to use the device (and the high adherence values of the consenting group suggested this was an already motivated cohort), hence this may not be the optimal way of engaging patients most in need of help with medication adherence. Technology-assisted education may better involve patients: heart failure patients who completed a course of computer-based education modules and quizzes were subsequently more informed about their condition than controls.41 There was no difference in either quality of life or medication adherence scores, however, suggesting that education alone is not sufficient.

View this table:
[Table 2](http://openheart.bmj.com/content/2/1/e000166/T2)

Table 2 
Advantages and disadvantages of technologies designed to improve chronic medication adherence in cardiovascular disease

More recently, there has been a move to personalised education according to a patient's prior knowledge and individual needs. Interactive Voice Response (IVR) technology is particularly useful in providing this broad assessment and has shown promise among long-term medication users. A study of statin users demonstrated that patients who received guidance based on their responses to questions regarding knowledge, beliefs about their condition and reasons for non-adherence, were more adherent to medications at 6 months compared to those who received generic information (70.4% vs 60.7%).42

Integration of the internet into our daily lives has done much for patient empowerment in terms of readily accessible information. Additionally, there is scope for making personal medical records available to patients at home, and programmes such as SPPARO (System Providing Access to Records Online) have shown that this improves adherence to general medical advice among a group of patients with heart failure, if not to the medications themselves.43

It is the rise of apps and handheld devices such as smartphones and tablets, however, which is likely to inform development of aids to adherence in the near future. Ease of use, portability, storage and versatility of function, along with the fact that they are often already a part of the patient's life, make these technologies ideal in the rehabilitation setting. Commercially available apps have shown promising uptake: a German-language ‘Medication Plan’ app was reportedly used by 11 688 users, 74% of whom had cardiovascular disease.44 ,45 Indeed, medical organisations have been quick to recognise this and have called for expansion in this area: one US competition—the Aetna CarePass Developer Challenge—challenges designers to produce a mobile phone application specifically assisting patients with adherence to medication regimens.46

Much of medication app research, unfortunately, concentrates on different populations (eg, patients with diabetes mellitus), hence there may be limited basis for predicting how patients with ACS would respond to this technology.47 However, similarities include population age and the chronicity of these diseases, which indeed may coexist. Consequently, consideration of these studies such as features affecting their usability, for example, multifunctionality, documentation or analysis functions (which all reduce usability), may aid the development of apps for patients specifically post-ACS.47 ,48 A potential disadvantage, such as seen with the low take-up of electronic reminder devices, is the perception of this technology as an unnecessary complication: in an evaluation of various mobile medication management applications by older adults, study participants reported on the whole that they did not feel a need for these applications in their own medication regimes.40 ,48 Usability was not a problem, however, possibly due to the designers’ use of clear wording and simple navigation (modifications such as large font sizes may also be of benefit, and can be dictated by individual requirements).

Other studies have produced more encouraging results: a tablet-based pillbox app helping to remind elderly patients with chronic illness to take medications, along with providing lifestyle advice, resulted in improved MMAS scores, and the concept was met with approval by the patients themselves (28.3% rise in adherence; mean satisfaction score 8.5 of 10).49 Similarly, a pilot study gauging interest in a tablet programme providing education on heart failure medication adherence in a text, video and quiz format was generally welcomed by patients and nurses. Patients also reported a need for empathetic rehabilitation, interactive learning, and support from healthcare workers and family members, of which app technologies may be one unifying aid.50 The challenge is, therefore, to design apps that are easy to use and informative, yet are not viewed as an encumbrance by the patients who could benefit from them.

## Conclusions

Given the scale of non-adherence to ACS secondary prevention and the mounting wealth of technologies at our disposal, there would appear to be scope for designing cost-effective programmes to improve medication adherence. Current estimations of adherence in ACS stand at around 40–75%, though this figure is dependent on follow-up time and definition of adherence.6 ,7 ,9–12 Non-adherence, however, translates into poor clinical outcomes.12–15 Understanding the reasons for non-adherence, therefore, can inform development of technological methods to improve adherence. Insufficient knowledge about medication regimens, low motivation or forgetfulness, polypharmacy, adverse side effects, increasing age and a lack of practical support have all been implicated and may be borne in mind.19–24 In the particular context of ACS, studies have used text or voice message reminders and telephone education to demonstrate better adherence.34 ,38 ,39

Evidence from other chronic conditions suggests that patients are more likely to engage with technology already at their disposal (the compliance for using separate alarms, for instance, was low) and are more likely to respond to personalised education.41 ,42 The ubiquity of smartphones and tablets may thus provide the ideal rehabilitation opportunity. Such applications have been shown to be popular among patients (including older generations) and to encourage adherence.49 ,50 Research into such technologies is still in the early stages (and especially limited in the context of ACS), but it is likely they will play a major part in the future of cardiac rehabilitation.

## Footnotes

*   KC and NI contributed equally.

*   Contributors KC and NI were involved in the drafting of the manuscript. RC was involved in the manuscript supervision and critical review. JK was involved in the critical review of the manuscript.

*   Funding RPC is a Wellcome Trust Senior Clinical Research Fellow. This work is supported by the Oxford NIHR Biomedical Research Centre and the British Heart Foundation Centre for Research Excellence, Oxford.

*   Competing interests None.

*   Provenance and peer review Not commissioned; externally peer reviewed.

*   Received June 25, 2014.
*   Revision received December 2, 2014.
*   Accepted December 11, 2014.


*   Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions

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## References

1.  Mukherjee D, Fang J, Chetcuti S, et al. Impact of combination evidence-based medical therapy on mortality in patients with acute coronary syndromes. Circulation 2004;109:745–9. [doi:10.1161/01.CIR.0000112577.69066.CB](http://dx.doi.org/10.1161/01.CIR.0000112577.69066.CB)
    
    [Abstract/FREE Full Text](http://openheart.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6MTQ6ImNpcmN1bGF0aW9uYWhhIjtzOjU6InJlc2lkIjtzOjk6IjEwOS82Lzc0NSI7czo0OiJhdG9tIjtzOjI1OiIvb3BlbmhydC8yLzEvZTAwMDE2Ni5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 

2.  National Institute for Health and Care Excellence. [MI—secondary prevention: secondary prevention in primary and secondary care for patients following a myocardial infarction]. [CG172]. London: National Institute for Health and Care Excellence, 2013.
    
    

3.  Sabaté E, World HO, WHO Adherence to Long Term Therapies Project, Global Adherence IN. Adherence to long-term therapies: evidence for action. Geneva: World Health Organization, 2003.
    
    

4.  Desai NR, Choudhry NK. Impediments to adherence to post myocardial infarction medications. Curr Cardiol Rep 2013;15:322-012–0322-6. [doi:10.1007/s11886-012-0322-6](http://dx.doi.org/10.1007/s11886-012-0322-6)
    
    

5.  Rasmussen JN, Chong A, Alter DA. Relationship between adherence to evidence-based pharmacotherapy and long-term mortality after acute myocardial infarction. JAMA 2007;297:177–86. [doi:10.1001/jama.297.2.177](http://dx.doi.org/10.1001/jama.297.2.177)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1001/jama.297.2.177&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=17213401&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=000243355900027&link_type=ISI) 

6.  Jackevicius CA, Li P, Tu JV. Prevalence, predictors, and outcomes of primary nonadherence after acute myocardial infarction. Circulation 2008;117:1028–36. [doi:10.1161/CIRCULATIONAHA.107.706820](http://dx.doi.org/10.1161/CIRCULATIONAHA.107.706820)
    
    [Abstract/FREE Full Text](http://openheart.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6MTQ6ImNpcmN1bGF0aW9uYWhhIjtzOjU6InJlc2lkIjtzOjEwOiIxMTcvOC8xMDI4IjtzOjQ6ImF0b20iO3M6MjU6Ii9vcGVuaHJ0LzIvMS9lMDAwMTY2LmF0b20iO31zOjg6ImZyYWdtZW50IjtzOjA6IiI7fQ==) 

7.  Ho PM, Spertus JA, Masoudi FA, et al. Impact of medication therapy discontinuation on mortality after myocardial infarction. Arch Intern Med 2006;166:1842–7. [doi:10.1001/archinte.166.17.1842](http://dx.doi.org/10.1001/archinte.166.17.1842)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1001/archinte.166.17.1842&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=17000940&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=000240730500008&link_type=ISI) 

8.  Benner JS, Glynn RJ, Mogun H, et al. Long-term persistence in use of statin therapy in elderly patients. JAMA 2002;288:455–61. [doi:10.1001/jama.288.4.455](http://dx.doi.org/10.1001/jama.288.4.455)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1001/jama.288.4.455&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=12132975&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=000176955400027&link_type=ISI) 

9.  Jackevicius CA, Mamdani M, Tu JV. Adherence with statin therapy in elderly patients with and without acute coronary syndromes. JAMA 2002;288:462–7. [doi:10.1001/jama.288.4.462](http://dx.doi.org/10.1001/jama.288.4.462)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1001/jama.288.4.462&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=12132976&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=000176955400028&link_type=ISI) 

10. Kramer JM, Hammill B, Anstrom KJ, et al. National evaluation of adherence to beta-blocker therapy for 1 year after acute myocardial infarction in patients with commercial health insurance. Am Heart J 2006;152:454.e1–454.e8. [doi:10.1016/j.ahj.2006.02.030](http://dx.doi.org/10.1016/j.ahj.2006.02.030)
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=16923412&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=000240564800010&link_type=ISI) 

11. Newby LK, LaPointe NM, Chen AY, et al. Long-term adherence to evidence-based secondary prevention therapies in coronary artery disease. Circulation 2006;113:203–12. [doi:10.1161/CIRCULATIONAHA.105.505636](http://dx.doi.org/10.1161/CIRCULATIONAHA.105.505636)
    
    [Abstract/FREE Full Text](http://openheart.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6MTQ6ImNpcmN1bGF0aW9uYWhhIjtzOjU6InJlc2lkIjtzOjk6IjExMy8yLzIwMyI7czo0OiJhdG9tIjtzOjI1OiIvb3BlbmhydC8yLzEvZTAwMDE2Ni5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 

12. Boggon R, van Staa TP, Timmis A, et al. Clopidogrel discontinuation after acute coronary syndromes: frequency, predictors and associations with death and myocardial infarction—a hospital registry-primary care linked cohort (MINAP-GPRD). Eur Heart J 2011;32:2376–86. [doi:10.1093/eurheartj/ehr340](http://dx.doi.org/10.1093/eurheartj/ehr340)
    
    [Abstract/FREE Full Text](http://openheart.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6MzoiZWhqIjtzOjU6InJlc2lkIjtzOjEwOiIzMi8xOS8yMzc2IjtzOjQ6ImF0b20iO3M6MjU6Ii9vcGVuaHJ0LzIvMS9lMDAwMTY2LmF0b20iO31zOjg6ImZyYWdtZW50IjtzOjA6IiI7fQ==) 

13. Horwitz RI, Viscoli CM, Berkman L, et al. Treatment adherence and risk of death after a myocardial infarction. Lancet 1990;336:542–5. [doi:10.1016/0140-6736(90)92095-Y](http://dx.doi.org/10.1016/0140-6736(90)92095-Y)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1016/0140-6736(90)92095-Y&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=1975045&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=A1990DW78100011&link_type=ISI) 

14. Allonen J, Nieminen MS, Lokki M, et al. Mortality rate increases steeply with nonadherence to statin therapy in patients with acute coronary syndrome. Clin Cardiol 2012;35:E22–7. [doi:10.1002/clc.22056](http://dx.doi.org/10.1002/clc.22056)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1002/clc.22056&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=22961648&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 

15. Mehran R, Baber U, Steg PG, et al. Cessation of dual antiplatelet treatment and cardiac events after percutaneous coronary intervention (PARIS): 2 year results from a prospective observational study. Lancet 2013;382:1714–22. [doi:10.1016/S0140-6736(13)61720-1](http://dx.doi.org/10.1016/S0140-6736(13)61720-1)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1016/S0140-6736(13)61720-1&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=24004642&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=000327539900028&link_type=ISI) 

16. Osterberg L, Blaschke T. Adherence to medication. N Engl J Med 2005;353:487–97. [doi:10.1056/NEJMra050100](http://dx.doi.org/10.1056/NEJMra050100)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1056/NEJMra050100&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=16079372&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=000230939000008&link_type=ISI) 

17. Simpson SH, Eurich DT, Majumdar SR, et al. A meta-analysis of the association between adherence to drug therapy and mortality. BMJ 2006;333:15. [doi:10.1136/bmj.38875.675486.55](http://dx.doi.org/10.1136/bmj.38875.675486.55)
    
    [Abstract/FREE Full Text](http://openheart.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6MzoiYm1qIjtzOjU6InJlc2lkIjtzOjExOiIzMzMvNzU1Ny8xNSI7czo0OiJhdG9tIjtzOjI1OiIvb3BlbmhydC8yLzEvZTAwMDE2Ni5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 

18. Eagle KA, Kline-Rogers E, Goodman SG, et al. Adherence to evidence-based therapies after discharge for acute coronary syndromes: an ongoing prospective, observational study. Am J Med 2004;117:73–81. [doi:10.1016/j.amjmed.2003.12.041](http://dx.doi.org/10.1016/j.amjmed.2003.12.041)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1016/j.amjmed.2003.12.041&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=15234641&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=000222615700001&link_type=ISI) 

19. Allen LaPointe NM, Ou FS, Calvert SB, et al. Association between patient beliefs and medication adherence following hospitalization for acute coronary syndrome. Am Heart J 2011;161:855–63. [doi:10.1016/j.ahj.2011.02.009](http://dx.doi.org/10.1016/j.ahj.2011.02.009)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1016/j.ahj.2011.02.009&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=21570514&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 

20. Ali RC, Melloni C, Ou FS, et al. Age and persistent use of cardiovascular medication after acute coronary syndrome: results from medication applied and sustained over time. J Am Geriatr Soc 2009;57:1990–6. [doi:10.1111/j.1532-5415.2009.02483.x](http://dx.doi.org/10.1111/j.1532-5415.2009.02483.x)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1111/j.1532-5415.2009.02483.x&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=19754499&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 

21. Rieckmann N, Gerin W, Kronish IM, et al. Course of depressive symptoms and medication adherence after acute coronary syndromes: an electronic medication monitoring study. J Am Coll Cardiol 2006;48:2218–22. [doi:10.1016/j.jacc.2006.07.063](http://dx.doi.org/10.1016/j.jacc.2006.07.063)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1016/j.jacc.2006.07.063&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=17161249&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=000242520900010&link_type=ISI) 

22. Bauer LK, Caro MA, Beach SR, et al. Effects of depression and anxiety improvement on adherence to medication and health behaviors in recently hospitalized cardiac patients. Am J Cardiol 2012;109:1266–71. [doi:10.1016/j.amjcard.2011.12.017](http://dx.doi.org/10.1016/j.amjcard.2011.12.017)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1016/j.amjcard.2011.12.017&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=22325974&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 

23. Kassab Y, Hassan Y, Abd Aziz N, et al. Patients’ adherence to secondary prevention pharmacotherapy after acute coronary syndromes. Int J Clin Pharm 2013;35:275–80. [doi:10.1007/s11096-012-9735-y](http://dx.doi.org/10.1007/s11096-012-9735-y)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1007/s11096-012-9735-y&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=23283596&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 

24. Melloni C, Alexander KP, Ou FS, et al. Predictors of early discontinuation of evidence-based medicine after acute coronary syndrome. Am J Cardiol 2009;104:175–81. [doi:10.1016/j.amjcard.2009.03.013](http://dx.doi.org/10.1016/j.amjcard.2009.03.013)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1016/j.amjcard.2009.03.013&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=19576342&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=000268540500005&link_type=ISI) 

25. Molloy GJ, Perkins-Porras L, Bhattacharyya MR, et al. Practical support predicts medication adherence and attendance at cardiac rehabilitation following acute coronary syndrome. J Psychosom Res 2008;65:581–6. [doi:10.1016/j.jpsychores.2008.07.002](http://dx.doi.org/10.1016/j.jpsychores.2008.07.002)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1016/j.jpsychores.2008.07.002&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=19027448&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 

26. Kulkarni SP, Alexander KP, Lytle B, et al. Long-term adherence with cardiovascular drug regimens. Am Heart J 2006;151:185–91. [doi:10.1016/j.ahj.2005.02.038](http://dx.doi.org/10.1016/j.ahj.2005.02.038)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1016/j.ahj.2005.02.038&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=16368315&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=000234485100032&link_type=ISI) 

27. Doherty WJ, Schrott HG, Metcalf L, et al. Effect of spouse support and health beliefs on medication adherence. J Fam Pract 1983;17:837–41.
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=6355370&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=A1983RQ04700014&link_type=ISI) 

28. Van Wijk BL, Klungel OH, Heerdink ER, et al. Rate and determinants of 10-year persistence with antihypertensive drugs. J Hypertens 2005;23:2101–7. [doi:10.1097/01.hjh.0000187261.40190.2e](http://dx.doi.org/10.1097/01.hjh.0000187261.40190.2e)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1097/01.hjh.0000187261.40190.2e&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=16208154&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=000239290600026&link_type=ISI) 

29. Indridason OS, Coffman CJ, Oddone EZ. Is specialty care associated with improved survival of patients with congestive heart failure? Am Heart J 2003;145:300–9. [doi:10.1067/mhj.2003.54](http://dx.doi.org/10.1067/mhj.2003.54)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1067/mhj.2003.54&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=12595848&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=000181097500022&link_type=ISI) 

30. Haynes RB, Ackloo E, Sahota N, et al. Interventions for enhancing medication adherence. Cochrane Database Syst Rev 2008;(2):CD000011.
    
    

31. Granger BB, Bosworth HB. Medication adherence: emerging use of technology. Curr Opin Cardiol 2011;26:279–87. [doi:10.1097/HCO.0b013e328347c150](http://dx.doi.org/10.1097/HCO.0b013e328347c150)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1097/HCO.0b013e328347c150&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=21597368&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 

32. Misono AS, Cutrona SL, Choudhry NK, et al. Healthcare information technology interventions to improve cardiovascular and diabetes medication adherence. Am J Manag Care 2010;16:SP82–92.
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=21314228&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=000286881800023&link_type=ISI) 

33. Tajouri TH, Driver SL, Holmes DR, Jr.. ‘Take as directed’-strategies to improve adherence to cardiac medication. Nat Rev Cardiol 2013;11:304–7.
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=24343567&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 

34. Quilici J, Fugon L, Beguin S, et al. Effect of motivational mobile phone short message service on aspirin adherence after coronary stenting for acute coronary syndrome. Int J Cardiol 2013;168:568–9. [doi:10.1016/j.ijcard.2013.01.252](http://dx.doi.org/10.1016/j.ijcard.2013.01.252)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1016/j.ijcard.2013.01.252&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=23462636&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 

35. Vervloet M, Linn AJ, van Weert JC, et al. The effectiveness of interventions using electronic reminders to improve adherence to chronic medication: a systematic review of the literature. J Am Med Inform Assoc 2012;19:696–704. [doi:10.1136/amiajnl-2011-000748](http://dx.doi.org/10.1136/amiajnl-2011-000748)
    
    [Abstract/FREE Full Text](http://openheart.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6NzoiamFtaW5mbyI7czo1OiJyZXNpZCI7czo4OiIxOS81LzY5NiI7czo0OiJhdG9tIjtzOjI1OiIvb3BlbmhydC8yLzEvZTAwMDE2Ni5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 

36. McAlister FA, Lawson FM, Teo KK, et al. Randomised trials of secondary prevention programmes in coronary heart disease: systematic review. BMJ 2001;323:957–62. [doi:10.1136/bmj.323.7319.957](http://dx.doi.org/10.1136/bmj.323.7319.957)
    
    [Abstract/FREE Full Text](http://openheart.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6MzoiYm1qIjtzOjU6InJlc2lkIjtzOjEyOiIzMjMvNzMxOS85NTciO3M6NDoiYXRvbSI7czoyNToiL29wZW5ocnQvMi8xL2UwMDAxNjYuYXRvbSI7fXM6ODoiZnJhZ21lbnQiO3M6MDoiIjt9) 

37. Neubeck L, Redfern J, Fernandez R, et al. Telehealth interventions for the secondary prevention of coronary heart disease: a systematic review. Eur J Cardiovasc Prev Rehabil 2009;16:281–9. [doi:10.1097/HJR.0b013e32832a4e7a](http://dx.doi.org/10.1097/HJR.0b013e32832a4e7a)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1097/HJR.0b013e32832a4e7a&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=19407659&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=000267297500003&link_type=ISI) 

38. Rinfret S, Rodes-Cabau J, Bagur R, et al. Telephone contact to improve adherence to dual antiplatelet therapy after drug-eluting stent implantation. Heart 2013;99:562–9. [doi:10.1136/heartjnl-2012-303004](http://dx.doi.org/10.1136/heartjnl-2012-303004)
    
    [Abstract/FREE Full Text](http://openheart.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6ODoiaGVhcnRqbmwiO3M6NToicmVzaWQiO3M6ODoiOTkvOC81NjIiO3M6NDoiYXRvbSI7czoyNToiL29wZW5ocnQvMi8xL2UwMDAxNjYuYXRvbSI7fXM6ODoiZnJhZ21lbnQiO3M6MDoiIjt9) 

39. Ho PM, Lambert-Kerzner A, Carey EP, et al. Multifaceted intervention to improve medication adherence and secondary prevention measures after acute coronary syndrome hospital discharge: a randomized clinical trial. JAMA Intern Med 2014;174:186–93. [doi:10.1001/jamainternmed.2013.12944](http://dx.doi.org/10.1001/jamainternmed.2013.12944)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1001/jamainternmed.2013.12944&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=24247275&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 

40. Christensen A, Christrup LL, Fabricius PE, et al. The impact of an electronic monitoring and reminder device on patient compliance with antihypertensive therapy: a randomized controlled trial. J Hypertens 2010;28:194–200. [doi:10.1097/HJH.0b013e328331b718](http://dx.doi.org/10.1097/HJH.0b013e328331b718)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1097/HJH.0b013e328331b718&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=19770778&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=000273405900025&link_type=ISI) 

41. Stromberg A, Dahlstrom U, Fridlund B. Computer-based education for patients with chronic heart failure. A randomised, controlled, multicentre trial of the effects on knowledge, compliance and quality of life. Patient Educ Couns 2006;64:128–35. [doi:10.1016/j.pec.2005.12.007](http://dx.doi.org/10.1016/j.pec.2005.12.007)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1016/j.pec.2005.12.007&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=16469469&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 
    
    [Web of Science](http://openheart.bmj.com/lookup/external-ref?access_num=000243012600016&link_type=ISI) 

42. Stacy JN, Schwartz SM, Ershoff D, et al. Incorporating tailored interactive patient solutions using interactive voice response technology to improve statin adherence: results of a randomized clinical trial in a managed care setting. Popul Health Manag 2009;12:241–54. [doi:10.1089/pop.2008.0046](http://dx.doi.org/10.1089/pop.2008.0046)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1089/pop.2008.0046&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=19848566&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 

43. Ross SE, Moore LA, Earnest MA, et al. Providing a web-based online medical record with electronic communication capabilities to patients with congestive heart failure: randomized trial. J Med Internet Res 2004;6:e12. [doi:10.2196/jmir.6.2.e12](http://dx.doi.org/10.2196/jmir.6.2.e12)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.2196/jmir.6.2.e12&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=15249261&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 

44. Becker S, Kribben A, Meister S, et al. User profiles of a smartphone application to support drug adherence--experiences from the iNephro project. PLoS One 2013;8:e78547. [doi:10.1371/journal.pone.0078547](http://dx.doi.org/10.1371/journal.pone.0078547)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1371/journal.pone.0078547&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=24194946&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 

45. Dayer L, Heldenbrand S, Anderson P, et al. Smartphone medication adherence apps: potential benefits to patients and providers. J Am Pharm Assoc (2003) 2013;53:172–81. [doi:10.1331/JAPhA.2013.12202](http://dx.doi.org/10.1331/JAPhA.2013.12202)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.1331/JAPhA.2013.12202&link_type=DOI) 

46. Aetna News Hub. *Aetna launches CarePass Developers Challenge with $100,000 in prizes for top apps encouraging medication compliance*. [http://news.aetna.com/news-releases/aetna-launches-carepass-developer-challenge-with-100000-in-prizes-for-top-apps-encouraging-medication-compliance/](http://news.aetna.com/news-releases/aetna-launches-carepass-developer-challenge-with-100000-in-prizes-for-top-apps-encouraging-medication-compliance/) (accessed Aug 2014).
    
    

47. Arnhold M, Quade M, Kirch W. Mobile applications for diabetics: a systematic review and expert-based usability evaluation considering the special requirements of diabetes patients age 50 years or older. J Med Internet Res 2014;16:e104. [doi:10.2196/jmir.2968](http://dx.doi.org/10.2196/jmir.2968)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.2196/jmir.2968&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=24718852&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 

48. Grindrod KA, Li M, Gates A. Evaluating user perceptions of mobile medication management applications with older adults: a usability study. JMIR Mhealth Uhealth 2014;2:e11. [doi:10.2196/mhealth.3048](http://dx.doi.org/10.2196/mhealth.3048)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.2196/mhealth.3048&link_type=DOI) 

49. Mira JJ, Navarro I, Botella F, et al. A Spanish pillbox app for elderly patients taking multiple medications: randomized controlled trial. J Med Internet Res 2014;16:e99. [doi:10.2196/jmir.3269](http://dx.doi.org/10.2196/jmir.3269)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.2196/jmir.3269&link_type=DOI) 
    
    [PubMed](http://openheart.bmj.com/lookup/external-ref?access_num=24705022&link_type=MED&atom=%2Fopenhrt%2F2%2F1%2Fe000166.atom) 

50. Oosterom-Calo R, Abma TA, Visse MA, et al. An interactive-technology health behavior promotion program for heart failure patients: a pilot study of experiences and needs of patients and nurses in the hospital setting. JMIR Res Protoc 2014;3:e32. [doi:10.2196/resprot.3188](http://dx.doi.org/10.2196/resprot.3188)
    
    [CrossRef](http://openheart.bmj.com/lookup/external-ref?access_num=10.2196/resprot.3188&link_type=DOI)