Back to Journals » Patient Preference and Adherence » Volume 12

A perspective on nonadherence to drug therapy: psychological barriers and strategies to overcome nonadherence

Authors Martin LR , Feig C, Maksoudian CR, Wysong K, Faasse K 

Received 15 May 2018

Accepted for publication 26 June 2018

Published 22 August 2018 Volume 2018:12 Pages 1527—1535

DOI https://doi.org/10.2147/PPA.S155971

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Johnny Chen



Leslie R Martin,1 Cheyenne Feig,1 Chloe R Maksoudian,1 Kenrick Wysong,1 Kate Faasse2

1Department of Psychology and Neuroscience, La Sierra University, Riverside, CA, USA; 2School of Psychology, University of New South Wales, Sydney, NSW, Australia

Abstract: Medication adherence represents an inefficiency and ongoing challenge within medical care. The problem has been long-recognized – indeed, the research literature contains thousands of articles on the topic. Nonetheless, because of the complex nature of the problem, it still cannot be considered to be solved. Reasons for nonadherence are myriad but psychological barriers to adherence are most difficult to mitigate and, thus, are the focus of this paper. The present narrative review sketches a summary of theoretical models commonly utilized to understand and help address medication nonadherence; uses a patient-centered care approach to contextualize the problem of nonadherence to drug therapies; and then outlines a set of best-practice recommendations based on the extant data and framed from the perspective of the Information-Motivation-Strategy model.

Keywords: nonadherence, medication nonadherence, adherence barriers, improving adherence

Introduction

In the United States, spending on health care reached $3.3 trillion in 2016,1 reflecting an average of over $10,000 per person annually and nearly 18% of the GDP. Over the course of a year, more than half of all US adults are prescribed at least one pharmaceutical medication, and approximately 15% are prescribed five or more different drugs.2 The fiscal burden associated with nonadherence to prescribed medical regimens has been estimated at $290 to $300 billion3,4 with per-person costs for all-cause nonadherence in the US ranging from $5,271 to $52,341 annually,5 deriving from higher inpatient, outpatient, and emergency costs.6 Although these economic estimates are staggering, they are not the only costs associated with nonadherence. Failure to resolve or manage symptoms can result in physical suffering and death,79 and exacts a psychosocial toll that is more difficult to quantify but no less important – well-being suffers and quality of life is negatively impacted.10

Efficient delivery of health care and optimization of health outcomes thus require that nonadherence be minimized, and there is no shortage of interventions that aim to improve adherence – the problem is that many of them are ineffective, minimally effective, or are effective only in narrowly-defined circumstances, as is illustrated by a recent Cochrane review.11 This limited effectiveness is because the reasons for nonadherence are complex, idiosyncratic, and changeable – see Sapkota et al for a review of these factors in the context of a common chronic illness, diabetes.12 Indeed, as noted in the Cochrane review above, no consistent features are identifiable across those interventions that do achieve some measure of success.

Barriers to successful adherence may be psychological or more concrete; and the two types often co-exist. Concrete barriers, however, are objectively easier to identify and potentially to address – for example by pinpointing financial need and providing assistance. Psychological barriers are more complicated and challenging to ascertain and mitigate, and it is these psychological barriers that are the focus of the present paper. We also limit this paper to medication nonadherence, although in many cases the principles identified apply well to lifestyle recommendations as well as drug therapies.

Psychological barriers to adherence can be further subdivided into two types: intentional and unintentional. Intentional nonadherence refers to cases in which patients decide to discontinue treatment (eg, quit taking a long-term asthma control medication) or to modify the recommended treatment (eg, cut diabetes pills in half but continue taking the half-dose regularly). Unintentional nonadherence reflects cases where patients incorrectly believe they are adhering properly (eg, taking ACE inhibitors as prescribed but continuing to eat bananas) or understand what to do and intend to do it, but then fail (eg, forgetting to take a medication at the appropriate time). The most effective strategies for addressing psychological barriers to medication adherence will differ depending on whether adherence is intentional or unintentional. The following sections of this paper will review: (a) some of the most common theoretical frameworks used to understand medication nonadherence, with an emphasis on emerging themes; (b) the importance of patient-practitioner communication and patient-centered care as a mechanism for delivering interventions; and (c) specific interventions that reflect current best-practices for improving adherence to drug therapies.

Theoretical frameworks for understanding nonadherence

Although not created specifically for addressing nonadherence concerns, several classic health behavior models are relevant. Rosenstock’s13 Health Belief Model proposes that an individual’s beliefs about susceptibility and seriousness combine to create a perception of threat associated with a health problem. Perceived benefits (and barriers) associated with a course of action then combine with the perceived threat, a personal sense of self-efficacy, and environmental cues to action to determine whether a behavior aimed at mitigating the health threat (including medication adherence) is actively pursued. The Theory of Planned Behavior,14 in contrast, posits that behavioral intentions are the best predictors of actual behaviors and proposes that the factors influencing intentions are personal attitudes, subjective norms, and perceived behavioral control (or self-efficacy). Both of these models highlight the importance of individual beliefs or attitudes and one’s sense of personal control over behavior – that is, the ability to carry out a decided action.

The Necessity Concerns Framework (NCF)15 was specifically designed to address individual belief-related factors relevant to adherence behavior. While noting that economic, sociocultural, and structural elements all contribute to (non)adherence, the authors argue that patients’ beliefs about the necessity of a treatment weighed against their worries about potential adverse outcomes are the primary drivers of adherence-related decisions, and meta-analytic results confirm the utility of the NCF.16 Each of the three models described thus far are well-suited to explaining intentional behaviors.

The heuristic Information-Motivation-Strategy Model (IMS)1719 was developed specifically to assist clinicians in promoting patient adherence, and it is more comprehensive than the NCF, addressing cognitive, social, and environmental factors from both the patient and provider perspectives. Because its foundation is broad, the IMS better accounts for unintentional behaviors than do the previously-described models. The premise of this model is that in order for patients to adhere they must understand what to do (information), want to do it (motivation), and have the means to carry out their intentions (strategy). The inclusion of both patient and provider in the model ensures that IMS-based interventions will be individualized and patient-centered.

PCC and medical communication

The Institute of Medicine (IOM) has formally recognized the value of patient-centered care (PCC) – care that is empathic, compassionate, well-coordinated, and actively engages patients in decision-making – by including it as one of six objectives for enhancing 21st century health care.20 From this perspective, patients are more than a set of symptoms or a puzzle to be solved – they are individuals who must be understood within their life contexts and they are experts on their own experiences and challenges, suggesting that they should partner with their clinicians to make health care decisions and enact strategies that will work best for their own unique situations.21,22

The Picker Institute/Commonwealth Fund has operationalized PCC as including the following key elements: (a) respect for the needs, values and preferences expressed by patients, (b) communication, education, and information, (c) care coordination, (d) emotional support, (e) physical comfort, (f) social network engagement, (g) care continuity during hospital-to-home transfers, and (h) access to services and care. This multi-dimensional definition has been adopted by others, including the IOM.20 Several systematic reviews have been conducted and PCC is generally found to be associated with a host of positive patient outcomes, including both clinical and satisfaction-related outcomes. Some studies23,24 focus primarily on consultation style or communication style aspects of PCC, and each of these reviews has found that adherence is better in cases where care is more patient-centered. Another recent review,25 using a more inclusive definition of PCC, also identified adherence as a positive outcome of this care-delivery approach. These positive associations between PCC and adherence are true not only in the short term but also when examined longitudinally.26,27 Some studies conceptualize adherence as a potential mediator of the relationship between PCC and clinical outcomes or satisfaction,25,26,2830 rather than as the single and final endpoint. This approach is consistent with the view that PCC fosters a sense of trust and partnership that then facilitates patient behaviors, such as adherence, that lead to better health outcomes and higher satisfaction.19,29

Across the various operationalizations of PCC, it is clear that medical communication is better and clinician-patient relationships enhanced when PCC is present. Acknowledging concerns and reiterating the usefulness of a medication may also help to inspire better adherence.31,32 Patient-centered, personally-tailored verbal explanations play a key role in helping patients understand the reasons for recommendations and feel comfortable voicing their concerns, and this may be especially true for patients with low health literacy.19,33 Once treatment decisions have been agreed upon, simple written materials such as visit summaries, medication-specific instructions, and reminders can ensure that patients remember important information from the encounter, and may also mitigate anxiety about remembering large amounts of information.34,35 Finally, sharing information about factors related to nonadherence is also important, as data suggest that patients who understand the predictors of nonadherence are more likely to recognize and navigate adherence-related pitfalls for themselves.36

Best-practice recommendations for improving adherence

With the PCC foundation firmly in mind, we now summarize specific interventions that reflect current best-practices for improving adherence to drug therapies. The order in which interventions are addressed is loosely based on the IMS model’s framework, with efforts to enhance understanding being addressed first, followed by factors related to motivation, and ending with aspects that contribute to patients’ ability to implement the plans to which they commit.

Enhance understanding

Health literacy is defined as the degree to which a patient is able to obtain, process, and understand health information so as to make appropriate health-related decisions.37 Low health literacy represents an ongoing challenge with about one third of adults in the US falling at the basic or below basic level according to the National Assessment of Adult Literacy (NAAL).38 Patients commonly misunderstand directions for taking medications, and this is true even in the absence of language barriers.39,40 Certain groups – including the elderly, some ethnic minorities, non-native English speakers, and those with low education and income levels – are recognized as being at particular risk for low health literacy38,41 but it is also understood that any individual has the potential to experience low health literacy within a particular medical domain or in the context of certain life experiences. Indeed, interventions specifically targeting health literacy as a way to improve adherence have had minimal success.42 Therefore it is currently recommended that a “universal precautions” approach be employed.41,43,44 This means that rather than attempting to assess and then appropriately target patients’ health literacy, clinicians should begin with the assumption that everyone has low health literacy – and then attend to patient cues that might suggest otherwise, increasing the sophistication of the medical dialog as appropriate.

A universal precautions approach suggests that, among other things, language should be kept simple (avoiding jargon), appropriate analogies should be used to aid comprehension, the amount of information presented in a single encounter should be limited to 3–5 points, and teach-back techniques should be used to verify patient understanding.43 Even in cases where the patient initially understood the instructions, data have consistently indicated that forgetting how to take medications is a major contributor to nonadherence.45,46 Further, more information is forgotten when more is presented, when patients are older, and when patients are anxious.4750 Therefore, providing a manageable amount of information, in a straightforward format, and then actively checking patient comprehension with teach-back all make a good deal of sense. It is important, however, that the request for the patient to “teach back” to the clinician what she or he has understood be framed as a check on the clinician – not on the patient.51 Patients who feel that they are being evaluated may be more anxious and thus less able to explain what they do, in fact, understand; satisfaction with medical care may be negatively impacted as well. Finally, clearly written materials that patients can take home with them can enhance their ability to remember, and therefore to adhere to, their recommended treatments.19,43,52

Simplify the regimen

Not only is it important to limit the amount of information discussed in a single medical encounter, simplification of the medication regimen itself is also a key factor in influencing adherence. Studies consistently show that in cases of polypharmacy and/or when the dosing requirements are more frequent and complicated, adherence suffers.5356 Thus, best-practice recommendations are that regimens should be kept as simple as possible and that they should be integrated into patients’ existing habits and lifestyles with as little adjustment as possible to existing patterns in patients’ lives.19,57

Enhance motivation

In order to encourage motivation to adhere, the clinician must know what is compelling to a patient – what fuels dreams and visions for the future, what causes anxiety and trepidation. But these things are difficult to ascertain in the absence of effective communication and a healthy relationship between clinician and patient. Recalling the importance of medical communication to the overall PCC model, it is recommended that clinicians formally evaluate their communication skills and receive training to strengthen those abilities, as training is generally found to be effective.58,59

Communication skills training may sometimes be highly individualized and include feedback focused on specific growth areas that have been identified for a clinician.6062 Other training programs focus on teaching a flexible set of skills that can be used with virtually any patient, and which can be adapted to suit the patient’s unique situation. One of the most widely used of this latter type of training program is Motivational Interviewing (MI).63 Although MI comprises a variety of techniques and strategies, it can be summarized as an interview-style intervention aimed at helping patients to identify discrepancies between goals and behaviors, with an eye toward guiding them toward making self-motivated decisions for change. Because of its interactive style and the clinician’s focus on guiding and asking questions (vs stating what the patient needs to decide or do) it provides ample opportunity for patients to discuss the ways in which their lifestyles may be at odds with the regimen under discussion and to work through the informational, motivational, and skill-based aspects of what it would mean to be adherent.64,65 Rooted in the Transtheoretical Model of Change,66 MI encourages clinicians to ask different questions of, and guide in different ways, patients who are at different stages in their readiness to change or to commit to a medical recommendation.

Meta-analytic findings indicate that patient adherence is significantly influenced by clinician communication skills training, with adherence being 1.62 times higher in patients whose physicians have received communication skills training as compared to those whose physicians have not.67 Training takes a variety of forms, but there is good evidence that communication skills training programs that provide opportunities for skills-practice have better outcomes than those that do not have a practice component.68 It is less clear from these data, however, that any particular form of practice is better – for instance, after completing their literature review, Lane and Rollnick concluded that it is impossible to determine whether simulated patients provide a better training experience than simple role-playing, as only one study had directly compared the two (and found no significant difference). They suggest that using simulated patients may not be worth the extra cost when the more economical role-playing approach appears equally effective.

With proper communication skills training, health care professionals are well-equipped to foster the type of trusting clinical relationships that are consistently shown to relate to better outcomes. Multiple studies have shown that patients are more motivated to adhere when they are in partnering relationships – that is, their physicians communicate effectively and welcome their involvement in care.6976 Patients in a collaborative relationship are more likely to engage in shared decision-making, an effective approach for reaching an agreed-upon treatment decision77 that has been linked to greater adherence.57,7880 When patients actively engage in making decisions about their own care they tend to be more committed to those decisions, taking ownership for them in a way that is less likely if the decisions are made by the clinician alone.

Another – more direct – approach to improving adherence is to explicitly incentivize the behavior; smaller incentives may be provided to every adherent patient, or periodic opportunities for a larger incentive may be given through a lottery system. Financial incentives have been shown to improve adherence especially in cases where the treatment itself is onerous (eg, depot medications) and for patients who are at high risk for nonadherence.8184 Even this direct effort to influence patient behavior is sometimes unsuccessful, however. Meta-analytic findings show that when incentives are larger, more frequent, and given over a longer period of time they tend to exert more influence on adherence.85 This, of course, presents additional challenges as the requisite effort and financial investment are often not sustainable over longer periods of time. Additionally, providing external incentives may actually decrease the patient’s intrinsic motivation for the behavior, as has been shown in other domains.86 Hence, motivational strategies that emphasize partnership, shared decision-making, and patient engagement are likely preferable as they tend to reinforce themselves and do not require additional funding to make them viable.

Engage social supports

Just as a supportive relationship with the clinician is important to patient adherence, the support of family and close friends can also play a vital role in encouraging adherence. Meta-analytic findings verify the value of social supports, with practical support – for example, providing transportation to medical appointments or picking up a prescription from the pharmacy – being the most important.87 Additional findings from this meta-analysis include that patients from families in conflict were 1.5 times less adherent, and those from cohesive families were 1.7 times more adherent; additionally, living with someone (whether married or not) was found to be modestly associated with adherence. When the social support system is engaged, adherence challenges related to social, economic, or lifestyle barriers can often be more effectively addressed.19,88 Family members or other individuals with whom the patient has close contact may be able to serve as reminders, cheerleaders, and troubleshooters. In addition, some data suggest that when social supports are stronger patients experience less negative affect which in turn predicts adherence self-efficacy and actual adherence.89

Develop troubleshooting strategies

Being convinced of the utility of a drug therapy improves the likelihood of proper adherence, but it is not enough on its own. Part of helping patients to adhere to treatment involves working with them to develop goals that are attainable and linking patients with resources and tools that will help them to meet the challenges they will inevitably encounter. Much of the goal-setting literature relating to improving adherence is focused on lifestyle recommendations (for example, dietary changes or increased physical activity) – and these data are clear that step-by-step changes are generally more do-able than are large-scale changes made all at once.90,91 However, goal achievement using step-by-step changes is often not possible when the recommendations are pharmaceutical – it typically does not make sense to phase in a necessary drug in steps. But other aspects of the adherence-improvement regimen may be modified according to this strategy. For example, one adherence-related goal may be to improve self-monitoring behaviors, but these are sometimes perceived as onerous by patients, eg,92 and thus personal record-keeping may be phased in more slowly, making it manageable for the patient and enabling them to experience successful self-monitoring. This experience of success is the most powerful method for improving self-efficacy for a behavior and is consistently superior to either vicarious experiences or simple attempts to verbally persuade one that they are capable of making a change.19,93,94 In turn, studies consistently show that a sense of self-efficacy and a sense of personal control are important predictors of medication adherence.95

Use technology appropriately

In an effort to streamline care delivery and to provide as many resources as possible, current trends include incorporation of technological adherence aids. The simplest reminder devices – digital timer caps and pill bottle strips with toggles – seem unhelpful when utilized as the sole intervention.96 And, although some technologies may be quite effective in certain situations, their potential disadvantages should not be ignored. With the PCC framework in mind, it is easy to see that technologies that facilitate the delivery of medical care with less human-to-human interaction may sometimes ostracize already-isolated patients; further, some technologies may be confusing to even the most tech-savvy clinicians.

Because forgetting is a widespread reason for failing to adhere, interventions to remind patients of their dosing schedule are common. Some of the simplest and most economical interventions involve telephones (calling, texting, and apps)97 but the effectiveness of these approaches varies. Although simple telephone reminders and SMS have been found to increase medication adherence,96101 some data suggest that electronic reminders alone are ineffective.102 Combined, these findings suggest that reminders may be useful but are most effective when they are not dissociated from the therapeutic relationship. Telephone counseling is more effective than simple reminders by phone and can be supplemented with short text messages to prompt adherence over time.98 It may be that the counseling portion of the telephone interaction and the corrective feedback103 is driving effects.

When using reminder messages and apps, best practices require these to be as focused on individual patient needs as possible. For example, the MEssaging for Diabetes (MED) program104 sends messages that are tailored to address specific adherence barriers identified by patients (eg, beliefs that medications might be harmful, or lack of information about their medications), in addition to providing a reminder. As patients’ situations change, the most prominent barriers can shift, and so the messages not only vary across patients but also within patients over time. And, a smartphone app for HIV patients105 provides real-time feedback about plasma concentration of the antiretroviral medication based on adherence, thus helping patients to better understand how their medications are working and fostering a sense of personal control. It may be that when technological interventions are tailored in this way they will be more appealing to patients, which is important since some data suggest that only about 15% of patients view things like adherence diaries or mobile phone reminders as helpful.106

Remote patient reminders and counseling are not the only technological tools that may improve adherence. Van Mierlo et al107 reviewed a wide range of digital health tools including social networking and videos, but concluded that most interventions had only moderate effects, and in some cases were more burden than help to clinicians. This review noted, however, that a substantial number of patients prefer communication with their physicians electronically (such as by email) which suggests that continued effort to improve the ease-of-use for these types of technologies may be worthwhile. Another review53 highlighted the usefulness of electronic monitoring systems for improving adherence in diabetic patients and suggested the importance of these technologies for helping clinicians identify patients in need of extra support. In addition, this review53 notes that electronic monitoring data has been shown to help physicians and patients to make more appropriate adjustments to treatment plans, as compared to making plan-adjustments based solely on laboratory data, because electronic data differentiates between missed doses and under-prescription, thus avoiding unnecessary changes in dosing or medication switching.

Taken together the data on technology-based adherence aids suggests that they are useful, but not uniformly so. To the extent that these tools are used to inform treatment decisions and are used in conjunction with other strategies they are likely to be more successful. If, however, they are used instead of relationship-based strategies there may be little benefit.

Create tailored, coordinated, multifaceted plans

Evidence consistently points to the importance of using multi-pronged approaches to improve adherence – this is not surprising because the multifaceted nature of the nonadherence problem is well-recognized. Combining educational, self-management, motivational, and practical elements in an adherence-improvement plan will yield the best outcomes.11,12,108 Interventions should also be appropriately tailored to patient needs. For example, some patients may not have knowledge-based barriers but may experience financial constraints – in this case, it would make little sense to spend time and energy on informing the patient about the disease process and value of medication for controlling it, since it is the financial aspect that is creating the problem. Tailoring multifaceted interventions to individual needs not only maximizes efficiency but it also makes it more likely that patients will feel engaged, in control, and as if they are in genuine partnership with their clinicians – all of which make medication adherence more likely.109,110

Delivery of tailored, multifaceted interventions (eg, telephone reminders, counseling, education sessions) is often most effective when tackled by a health care team.98,111 It is crucial, however, that each health care team member communicates consistent messages to the patient. This means that team members must communicate with each other regularly, ensuring that instructions given to patients are consistent and that the strategy is cohesive. This, in turn, helps improve patient trust and active partnership, leading to more self-advocacy and problem-solving and ultimately better adherence.19,112

Conclusion

No single adherence-improvement strategy is best. Depending on the nature of the medication regimen, the context within which it is embedded, and the patient her- or himself, the most efficacious approach will vary. As a general rule, multifaceted interventions work most effectively, with elements of these multi-pronged approaches including simplification of the medication regimen; personalizing and tailoring both medication regimens and interventions to improve adherence; involving patients in medication decisions; utilizing social support systems to support adherence; and using technology selectively, taking patient preferences into account, but not attempting to replace the interpersonal relationship with electronics.

Disclosure

The authors report no conflicts of interest in this work.


References

1.

National Health Expenditure Data. 2018. Available from: https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/NationalHealthExpendData/NationalHealthAccountsHistorical.html. Accessed March 19, 2018.

2.

Kantor ED, Rehm CD, Haas JS, Chan AT, Giovannucci EL. Trends in prescription drug use among adults in the United States from 1999–2012. JAMA. 2015;314(17):1818–1831.

3.

DiMatteo MR. Variations in patients’ adherence to medical recommendations: a quantitative review of 50 years of research. Med Care. 2004;42(3):200–209.

4.

New England Health Institute. Thinking outside the pillbox: A system-wide approach to improving patient medication adherence for chronic disease – publications – NEHI. Available from: https://www.nehi.net/publications/17-thinking-outside-the-pillbox-a-system-wide-approach-to-improving-patient-medication-adherence-for-chronic-disease/view. Accessed April 30, 2018.

5.

Cutler RL, Fernandez-Llimos F, Frommer M, Benrimoj C, Garcia-Cardenas V. Economic impact of medication non-adherence by disease groups: a systematic review. BMJ Open. 2018;8(1):e016982.

6.

Ettinger AB, Manjunath R, Candrilli SD, Davis KL. Prevalence and cost of nonadherence to antiepileptic drugs in elderly patients with epilepsy. Epilepsy Behavior. 2009;14(2):324–329.

7.

Catz SL, Kelly JA, Bogart LM, Benotsch EG, McAuliffe TL. Patterns, correlates, and barriers to medication adherence among persons prescribed new treatments for HIV disease. Health Psychol. 2000;19(2):124–133.

8.

Collet J-P, Montalescot G, Steg PG, et al. Clinical outcomes according to permanent discontinuation of clopidogrel or placebo in the CHARISMA trial. Arch Cardiovasc Dis. 2009;102(6–7):485–496.

9.

Wu JR, Lennie TA, de Jong MJ, et al. Medication adherence is a mediator of the relationship between ethnicity and event-free survival in patients with heart failure. J Card Fail. 2010;16(2):142–149.

10.

Martin LR, Williams SL, Haskard KB, DiMatteo MR. The challenge of patient adherence. Ther Clin Risk Manag. 2005;1(3):189–199.

11.

Nieuwlaat R, Wilczynski N, Navarro T, et al. Interventions for enhancing medication adherence. Cochrane Database Syst Rev, 11Art. No:CD000011.

12.

Sapkota S, Brien JA, Greenfield JR, Aslani P. A systematic review of interventions addressing adherence to anti-diabetic medications in patients with Type 2 diabetes – components of interventions. PLoS One. 2015;10(6):e0128581.

13.

Rosenstock IM. Historical origins of the health belief model. Health Educ Monogr. 1974;2(4):328–335.

14.

Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179–211.

15.

Horne R, Weinman J. Patients’ beliefs about prescribed medicines and their role in adherence to treatment in chronic physical illness. J Psychosom Res. 1999;47(6):555–567.

16.

Horne R, Chapman SCE, Parham R, Freemantle N, Forbes A, Cooper V. Understanding patients’ adherence-related beliefs about medicines prescribed for long-term conditions: a meta-analytic review of the Necessity-Concerns Framework. PLoS One. 2013;8(12):e80633.

17.

DiMatteo MR, DiNicola DD. Achieving Patient Compliance: The Psychology of the Medical Practitioner’s Role. New York: Pergamon Press; 1982.

18.

DiMatteo MR, Haskard-Zolnierek KB, Martin LR. Improving patient adherence: a three-factor model to guide practice. Health Psychol Rev. 2012;6(1):74–91.

19.

Martin LR, Haskard-Zolnierek KB, DiMatteo MR. Health Behavior Change and Treatment Adherence: Evidence-Based Guidelines for Improving Healthcare. New York: Oxford University Press; 2010.

20.

Institute of Medicine (US) Committee on Quality of Health Care in America. Crossing the Quality Chasm: A New Health System for the 21st Century. Washington, DC: National Academy Press; 2001.

21.

Barry MJ, Edgman-Levitan S. Shared decision making – the pinnacle of patient-centered care. N Engl J Med. 2012;366(9):780–781.

22.

Mead N, Bower P. Patient-centredness: a conceptual framework and review of the empirical literature. Soc Sci Med. 2000;51(7):1087–1110.

23.

Michie S, Miles J, Weinman J. Patient-centredness in chronic illness: what is it and does it matter? Patient Educ Couns. 2003;51(3):197–206.

24.

Robinson JH, Callister LC, Berry JA, Dearing KA. Patient-centered care and adherence: Definitions and applications to improve outcomes. J Am Acad Nurse Pract. 2008;20(12):600–607.

25.

Rathert C, Wyrwich MD, Boren SA. Patient-centered care and outcomes: a systematic review of the literature. Med Care Res Rev. 2013;70(4):351–379.

26.

Kahn KL, Schneider EC, Malin JL, Adams JL, Epstein AM. Patient centered experiences in breast cancer: Predicting long-term adherence to tamoxifen use. Med Care. 2007;45(5):431–439.

27.

Schmittdiel J, Mosen DM, Glasgow RE, Hibbard J, Remmers C, Bellows J. Patient assessment of chronic illness care (PACIC) and improved patient-centered outcomes for chronic conditions. J Gen Intern Med. 2008;23(1):77–80.

28.

Lemmens KMM, Nieboer AP, Huijsman R. Designing patient-related interventions in COPD care: Empirical test of a theoretical model. Patient Educ Couns. 2008;72(2):223–231.

29.

Meterko M, Wright S, Lin H, Lowy E, Cleary PD. Mortality among patients with acute myocardial infarction: the influences of patient-centered care and evidence-based medicine. Health Serv Res. 2010;45(5p1):1188–1204.

30.

Zandbelt LC, Smets EMA, Oort FJ, Godfried MH, de Haes HC. Medical specialists’ patient-centered communication and patient-reported outcomes. Med Care. 2007;45(4):330–339.

31.

Hayward KL, Valery PC, Martin JH, et al. Medication beliefs predict medication adherence in ambulatory patients with decompensated cirrhosis. World J Gastroenterol. 2017;23(40):7321–7331.

32.

Lee WK, Milloy MJS, Walsh J, Nguyen P, Wood E, Kerr T. Psychosocial factors in adherence to antiretroviral therapy among HIV-positive people who use drugs. Health Psychology. 2016;35(3):290–297.

33.

Ngoh LN. Health literacy: A barrier to pharmacist–patient communication and medication adherence. J Am Pharm Assoc. 2009;49(5):e132–e149.

34.

Oliveira-Filho AD, Morisky DE, Costa FA, et al. Improving post-discharge medication adherence in patients with CVD: a pilot randomized trial. Arq Bras Cardiol. 2014;103(6):503–512.

35.

Tiktin M, Celik S, Berard L. Understanding adherence to medications in type 2 diabetes care and clinical trials to overcome barriers: a narrative review. Curr Med Res Opin. 2016;32(2):277–287.

36.

Ghimire S, Castelino RL, Lioufas NM, Peterson GM, Zaidi STR. Nonadherence to medication therapy in haemodialysis patients: a systematic review. PLoS One. 2015;10(12):e0144119.

37.

US Department of Health and Human Service. Quick Guide to Health Literacy. Available from: https://health.gov/communication/literacy/quickguide/. Accessed May 11, 2018.

38.

Kutner M, Greenburg E, Jin Y, Paulsen C. The Health Literacy of America’s Adults: Results from the 2003 National Assessment of Adult Literacy. NCES 2006-483. Washington, DC: ED Pubs; 2006. Available from: https://eric.ed.gov/?id=ED493284. Accessed April 24, 2018.

39.

Davis TC, Wolf MS, Bass PF, et al. Low literacy impairs comprehension of prescription drug warning labels. J Gen Intern Med. 2006;21(8):847–851.

40.

Williams MV, Parker RM, Baker DW, et al. Inadequate functional health literacy among patients at two public hospitals. JAMA. 1995;274(21):1677–1682.

41.

Weiss BD. Health Literacy and Patient Safety: Help Patients Understand (Manual for Clinicians). 2nd edn. Chicago, IL: American Medical Association Foundation; 2007.

42.

Schillinger D, Piette J, Grumbach K, et al. Closing the loop: physician communication with diabetic patients who have low health literacy. Arch Intern Med. 2003;163(1):83–90.

43.

Brega AG, Freedman MAG, Leblanc WG, et al. Using the health literacy universal precautions toolkit to improve the quality of patient materials. J Health Commun. 2015;20(suppl.2):69–76.

44.

Weiss BD. How to bridge the health literacy gap. Fam Pract Manag. 2014;21(1):14–18.

45.

Kravitz RL, Hays RD, Sherbourne CD, et al. Recall of recommendations and adherence to advice among patients with chronic medical conditions. Arch Intern Med. 1993;153(16):1869–1878.

46.

Zaghloul SS, Goodfield MJD. Objective assessment of compliance with psoriasis treatment. Arch Dermatol. 2004;140(4):408–414.

47.

Godwin Y. Do they listen? A review of information retained by patients following consent for reduction mammoplasty. J Plast Reconstr Aesthet Surg. 2000;53(2):121–125.

48.

Jansen J, van Weert J, van der Meulen N, van Dulmen S, Heeren T, Bensing J. Recall in older cancer patients: measuring memory for medical information. Gerontologist. 2008;48(2):149–157.

49.

Kessels RPC. Patients’ memory for medical information. J R Soc Med. 2003;96:219–222.

50.

Rost K, Roter D, Bertakis K, Quill T. Physician-patient familiarity and patient recall of medication changes. The collaborative study group of the SGIM task force on the doctor and patient. Fam Med. 1990;22(6):453–457.

51.

Hersh L, Salzman B, Snyderman D. Health literacy in primary care practice. Am Fam Physician. 2015;92(2):118–24.

52.

Blinder D, Rotenberg L, Peleg M, Taicher S. Patient compliance to instructions after oral surgical procedures. Int J Oral Maxillofac Surg. 2001;30(3):216–219.

53.

Cramer JA. A systematic review of adherence with medications for diabetes. Diabetes Care. 2004;27(5):1218–1224.

54.

Fogarty L, Roter D, Larson S, Burke J, Gillespie J, Levy R. Patient adherence to HIV medication regimens: a review of published and abstract reports. Patient Educ Couns. 2002;46(2):93–108.

55.

Gellad WF, Grenard JL, Marcum ZA. A systematic review of barriers to medication adherence in the elderly: looking beyond cost and regimen complexity. Am J Geriatr Pharmacother. 2011;9(1):11–23.

56.

Ingersoll KS, Cohen J. The impact of medication regimen factors on adherence to chronic treatment: a review of literature. J Behav Med. 2008;31(3):213–224.

57.

Osterberg L, Blaschke T. Adherence to medication. N Engl J Med Overseas Ed. 2005;353(5):487–497.

58.

Guntzviller LM. Increasing medication adherence in LEP (low-English proficiency) Latino populations: merging speech act theory and cultural competency. Int Public Health J. 2011;3(1):17–29.

59.

Gysels M, Richardson A, Higginson IJ. Communication training for health professionals who care for patients with cancer: a systematic review of effectiveness. Supportive Care Cancer. 2004;12(10):692–700.

60.

Ferreira MR, Dolan NC, Fitzgibbon ML, et al. Health care provider-directed intervention to increase colorectal cancer screening among veterans: results of a randomized controlled trial. J Clin Oncol. 2005;23(7):1548–1554.

61.

Khankari K, Eder M, Osborn CY, et al. Improving colorectal cancer screening among the medically underserved: a pilot study within a federally qualified health center. J Gen Intern Med. 2007;22(10):1410–1414.

62.

Putnam SM, Stiles WB, Jacob MC, James SA. Teaching the medical interview: an intervention study. J Gen Intern Med. 1988;3(1):38–47.

63.

Miller W, Rollnick S. Motivational Interviewing: Helping People Change (Applications of Motivational Interviewing). 3rd edn. NY: Guilford Press; 2012.

64.

Hu D, Juarez DT, Yeboah M, Castillo TP. Interventions to increase medication adherence in African-American and Latino Populations: a literature review. Hawaii J Med Public Health. 2014;73(1):11–18.

65.

Ingersoll KS, Farrell-Carnahan L, Cohen-Filipic J, et al. A pilot randomized clinical trial of two medication adherence and drug use interventions for HIV+ crack cocaine users. Drug Alcohol Depend. 2011;116(1–3):177–187.

66.

Prochaska JO, Velicer WF. The transtheoretical model of health behavior change. Am J Health Promot. 1997;12(1):38–48.

67.

Haskard Zolnierek KB, DiMatteo MR. Physician communication and patient adherence to treatment. Med Care. 2009;47(8):826–834.

68.

Lane C, Rollnick S. The use of simulated patients and role-play in communication skills training: A review of the literature to August 2005. Patient Educ Couns. 2007;67(1–2):13–20.

69.

Branch WT. The ethics of caring and medical education. Acad Med. 2000;75(2):127–132.

70.

Flickinger TE, Saha S, Moore RD, Beach MC. Higher quality communication and relationships are associated with improved patient engagement in HIV care. JAIDS Acquir Immune Defic Syndr. 2013;63(3):362–366.

71.

Frankel RM. Emotion and the physician-patient relationship. Motiv Emot. 1995;19(3):163–173.

72.

Jahng KH, Martin LR, Golin CE, DiMatteo MR. Preferences for medical collaboration: patient–physician congruence and patient outcomes. Patient Educ Couns. 2005;57(3):308–314.

73.

Martin LR, DiMatteo MR, Lepper HS. Facilitation of patient involvement in care: development and validation of a scale. Behav Med. 2001;27(3):111–120.

74.

O’Malley AS, Forrest CB, Mandelblatt J. Adherence of low-income women to cancer screening recommendations. J Gen Intern Med. 2002;17(2):144–154.

75.

Safran DG, Taira DA, Rogers WH, Kosinski M, Ware JE, Tarlov AR. Linking primary care performance to outcomes of care. J Fam Pract. 1998;47(4):213–220.

76.

Thompson L, McCabe R. The effect of clinician-patient alliance and communication on treatment adherence in mental health care: a systematic review. BMC Psychiatry. 2012;12(1):87.

77.

Joosten EAG, Defuentes-Merillas L, de Weert GH, Sensky T, van der Staak CPF, de Jong CAJ. Systematic review of the effects of shared decision-making on patient satisfaction, treatment adherence and health status. Psychother Psychosom. 2008;77(4):219–226.

78.

Charles C, Gafni A, Whelan T. Shared decision-making in the medical encounter: What does it mean? (or it takes at least two to tango). Soc Sci Med. 1997;44(5):681–692.

79.

Charles C, Gafni A, Whelan T. Decision-making in the physician–patient encounter: revisiting the shared treatment decision-making model. Soc Sci Med. 1999;49(5):651–661.

80.

Wilson SR, Strub P, Buist AS, et al. Shared treatment decision making improves adherence and outcomes in poorly controlled asthma. Am J Respir Crit Care Med. 2010;181(6):566–577.

81.

Noordraven EL, Wierdsma AI, Blanken P, Bloemendaal AFT, Staring ABP, Mulder CL. Financial incentives for improving adherence to maintenance treatment in patients with psychotic disorders (Money for Medication): a multicentre, open-label, randomised controlled trial. Lancet Psychiatry. 2017;4(3):199–207.

82.

Priebe S, Yeeles K, Bremner S, et al. Effectiveness of financial incentives to improve adherence to maintenance treatment with antipsychotics: cluster randomised controlled trial. BMJ. 2013;347(oct07 3):f5847.

83.

Kimmel SE, Troxel AB, Loewenstein G, et al. Randomized trial of lottery-based incentives to improve warfarin adherence. Am Heart J. 2012;164(2):268–274.

84.

Lutge EE, Wiysonge CS, Knight SE, Sinclair D, Volmink J. Incentives and enablers to improve adherence in tuberculosis. Cochrane Database Syst Rev. 2015;3(9):1.

85.

Petry NM, Rash CJ, Byrne S, Ashraf S, White WB. Financial reinforcers for improving medication adherence: findings from a meta-analysis. Am J Med. 2012;125(9):888–896.

86.

Deci EL, Koestner R, Ryan RM. A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychol Bull. 1999;125(6):627–668.

87.

DiMatteo MR. Social support and patient adherence to medical treatment: a meta-analysis. Health Psychology. 2004;23(2):207–218.

88.

Modi AC, Guilfoyle SM, Rausch J. Preliminary feasibility, acceptability, and efficacy of an innovative adherence intervention for children with newly diagnosed epilepsy. J Pediatr Psychol. 2013;38(6):605–616.

89.

Simoni JM, Frick PA, Huang B. A longitudinal evaluation of a social support model of medication adherence among HIV-positive men and women on antiretroviral therapy. Health Psychology. 2006;25(1):74–81.

90.

Hibbard JH, Tusler M. Assessing activation stage and employing a “next steps” approach to supporting patient self-management. J Ambul Care Manage. 2007;30(1):2–8.

91.

Lorig KR, Ritter P, Stewart AL, et al. Chronic disease self-management program: 2-year health status and health care utilization outcomes. Med Care. 2001;39(11):1217.

92.

Lupton D. The digitally engaged patient: Self-monitoring and self-care in the digital health era. Soc Theory Health. 2013;11(3):256–270.

93.

Bandura A. Self-efficacy: Toward a unifying theory of behavioral change. Psychol Rev. 1977;84(2):191–215.

94.

Zimmerman BJ. Self-efficacy: An essential motive to learn. Contemp Educ Psychol. 2000;25(1):82–91.

95.

Náfrádi L, Nakamoto K, Schulz PJ. Is patient empowerment the key to promote adherence? A systematic review of the relationship between self-efficacy, health locus of control and medication adherence. PLoS One. 2017;12(10):e0186458.

96.

Choudhry NK, Krumme AA, Ercole PM, et al. Effect of reminder devices on medication adherence: the REMIND randomized clinical trial. JAMA Intern Med. 2017;177(5):624–631.

97.

Marciel KK, Saiman L, Quittell LM, Dawkins K, Quittner AL. Cell phone intervention to improve adherence: Cystic fibrosis care team, patient, and parent perspectives. Pediatr Pulmonol. 2010;45(2):157–164.

98.

Eggleston KS, Coker AL, Das IP, Cordray ST, Luchok KJ. Understanding barriers for adherence to follow-up care for abnormal pap tests. J Women’s Health. 2007;16(3):311–330.

99.

de Niet J, Timman R, Bauer S, et al. Short message service reduces dropout in childhood obesity treatment: A randomized controlled trial. Health Psychology. 2012;31(6):797–805.

100.

Hardy H, Kumar V, Doros G, et al. Randomized controlled trial of a personalized cellular phone reminder system to enhance adherence to antiretroviral therapy. AIDS Patient Care STDS. 2011;25(3):153–161.

101.

Haug S, Meyer C, Dymalski A, Lippke S, John U. Efficacy of a text messaging (SMS) based smoking cessation intervention for adolescents and young adults: Study protocol of a cluster randomised controlled trial. BMC Public Health. 2012;12(1):51–57.

102.

Granger BB, Bosworth HB. Medication adherence: emerging use of technology. Curr Opin Cardiol. 2011;26(4):279–287.

103.

Kalichman SC, Kalichman MO, Cherry C, Eaton LA, Cruess D, Schinazi RF. Randomized factorial trial of phone-delivered support counseling and daily text message reminders for HIV treatment adherence. J Acquir Immune Defic Syndr. 2016;73(1):47–54.

104.

Mayberry LS, Mulvaney SA, Johnson KB, Osborn CY. The MEssaging for Diabetes intervention reduced barriers to medication adherence among low-income, diverse adults with type 2. J Diabetes Sci Technol. 2017;11(1):92–99.

105.

Perera AI, Thomas MG, Moore JO, Faasse K, Petrie KJ. Effect of a smartphone application incorporating personalized health-related imagery on adherence to antiretroviral therapy: a randomized clinical trial. AIDS Patient Care STDS. 2014;28(11):579–586.

106.

Kim S-H, McDonald S, Kim S, Foster C, Fidler S. Importance of self-motivation and social support in medication adherence in HIV-infected adolescents in the United Kingdom and Ireland: A multicentre HYPNet study. AIDS Patient Care STDS. 2015;29(6):354–364.

107.

van Mierlo T, Fournier R, Ingham M. Targeting medication non-adherence behavior in selected autoimmune diseases: a systematic approach to digital health program development. PLoS One. 2015;10(6):e0129364.

108.

Elliott RA. Poor adherence to anti-inflammatory medication in asthma. Dis Manag Health Outcomes. 2006;14(4):223–233.

109.

Khan M, Shah S, Hameed T. Barriers to and determinants of medication adherence among hypertensive patients attended National Health Service Hospital, Sunderland. J Pharm Bioallied Sciences. 2014;6(2):104–108.

110.

Wheeler KJ, Roberts ME, Neiheisel MB. Medication adherence part two: predictors of nonadherence and adherence. J Am Assoc Nurse Pract. 2014;26(4):225–232.

111.

Kronish IM, Leventhal H, Horowitz CR. Understanding minority patients’ beliefs about hypertension to reduce gaps in communication between patients and clinicians. J Clin Hypertens. 2012;14(1):38–44.

112.

Dhaliwal KK, King-Shier K, Manns BJ, Hemmelgarn BR, Stone JA, Campbell DJ. Exploring the impact of financial barriers on secondary prevention of heart disease. BMC Cardiovasc Disord. 2017;17(1):61.

Creative Commons License © 2018 The Author(s). This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.