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Three Myths of Behavior Change - What You Think You Know That You Don't: Jeni Cross at TEDxCSU

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An example of CPD around behaviour change 

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An example of CPD around behaviour change 

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London School of Economics and Political Science

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Nudge, the Animation: Helping people make better choices

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People don't always act rationally. In fact, they tend to act irrationally - but in predictable ways. In this video, four marketing professors from the Rotman School of Management discuss some of the amazing insights of behavioural economics. In particular, they tackle the concept of the nudge, which involves making a deliberate change in choice architecture to engineer a particular outcome.

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Sport England Youth Insight

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Self-determination theory: its application to health behavior and complementarity with motivational interviewing

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Self-determination theory: its application to health behavior and complementarity with motivational interviewing

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Self-Determination Theory: Its Application to Health Behavior and Complementarity with Motivational Interviewing

An impressive body of research has provided convincing evidence for the pivotal role of behavior in well-being, and morbidity and mortality, as well as health care costs [ 1]. Indeed, some estimates indicate that nearly 3/4 of all health care costs are attributable to chronic diseases resulting from health behaviors such as tobacco use and exposure, poor diet, and physical inactivity [ 2]. Other research has shown that adherence to five key lifestyle behaviors (eliminating tobacco exposure, body mass index (BMI) < 25, engaging in 30 minutes of physical activity or more per day, consuming alcohol in moderation, and eating a healthy diet) reduced coronary events by 62% over 16 years in a cohort of 42,000 US adult men. Further, men who adopted at least two of these behaviors had 27% lower risk for cardiovascular events compared to those who did not [ 3]. Lifestyle behaviors account for some 40% of mortality in industrialized countries and have been implicated in up to 2/3 of all cancers [ 4] as well as the onset and management of obesity, diabetes, cardiovascular disease, heart attacks, and stroke. Given the importance of health behaviors to well-being, health outcomes, and disease processes, developing a rigorous science of health behavior, its change and maintenance is critical to prolonging both length and quality of life.

In recent years, the science of health behavior change has increasingly emphasized theory- based approaches to intervention. The use of theory to inform and test interventions is important both for expanding basic science and for developing interventions that have real-world practical utility. From the perspective of basic science, theories must be tested in multiple domains and through multiple methods to refine and expand them appropriately. Further, the use of theory is important to applications in health behavior change and maintenance because theories often inform us on how interventions work by identifying underlying mechanisms, thus providing more proximal targets of intervention (i.e., mediators and moderators of intervention effects). Mediators may help to clarify the processes by which an intervention is efficacious and may be useful in circumstances when an intervention has either a direct or an indirect effect on the primary outcome. For example, an intervention may have no direct effect on a particular behavioral outcome but may indirectly improve the outcome via its effect on a psychosocial variable such as self-efficacy or motivation. Thus, interventionists may refine interventions to specifically target these intervening variables yielding more efficient interventions. In other circumstances, an intervention may directly impact a behavioral outcome, and mediators may elucidate the mechanisms through which an intervention functions and the sequence by which behavior change occurs. In this way, change in a mediator may be an important outcome in and of itself whereby interventionists and practitioners can gage whether an intervention is functioning in predicted ways prior to the assessment of the behavioral outcome at the end of an intervention (or other follow-up period). Moderators may help to clarify for whom and under what circumstances an intervention is efficacious (e.g., an intervention is particularly effective for a particular sociodemographic subgroup). Thus, interventions may target the populations for whom they are most efficacious and effective and/or be tailored to become more effective for other populations. Theory can also lead to paradigm shifts in how change and its maintenance are measured and how treatment outcomes are assessed. While a theory's parsimony, applicability to a range of behaviors and outcomes, and capacity to be refined and expanded are all important to basic science, good theories must also be practical. That is, theories must be rigorous not only from a scientific standpoint but also from a practical standpoint. To the extent that theories are consistent with clinical guidelines and tenets of clinical practice (e.g., medical professionalism, principles of biomedical ethics), they are better suited to not only scientific but also practical discourse.

The late 1970s and early 1980s saw the emergence of a key theory (i.e., self-determination theory; SDT) and clinical style (motivational interviewing; MI) that have been used to understand and intervene with health behavior. Although these efforts were spear-headed by two different groups and, to some extent, for two different purposes, today the parallels between SDT as a theory and MI as a style of clinical practice-as they apply to health behavior-are becoming increasingly clear [ 5- 8]. These parallels have been further clarified as SDT researchers have developed efficacious clinical interventions based on SDT and MI techniques that facilitate health behavior change through change in the SDT mediators of autonomous self-regulation and perceived competence [e.g., [ 9- 12]]. In addition, MI has moved toward a formal statement of theory in a recent publication [ 13]. Together, these events suggest that the synthesis of SDT (and its mediators) with MI techniques may be a potent combination that can contribute to the field of health behavior change. MI's movement toward a statement of theory also allows a closer comparison of common theoretical underpinnings between SDT and MI. We also offer discussion of some potential differences between MI and SDT not discussed previously. The purpose of this piece is to discuss self-determination theory and the more practical aspects of its application to health behavior in both research and clinical contexts and to further explore potential conceptual overlaps and distinctions between SDT and MI.

Self-Determination Theory

Self-determination theory (SDT [ 14, 15]) is a general theory of human motivation that emphasizes the extent to which behaviors are relatively autonomous (i.e., the extent to which behaviors originate from the self) versus relatively controlled (i.e., the extent to which behaviors are pressured or coerced by intrapsychic or interpersonal forces). SDT defines motivation as psychological energy directed at a particular goal. Many theories of human behavior account for the direction of behavior, but fail to account for how that behavior is energized [ 14]. SDT has thus emphasized the importance of motivational quality in addition to its quantity. It has also offered a particularly comprehensive approach to studying health behavior via its conceptualization and measurement of autonomy, perceived competence, relatedness to others, and its emphasis on the role of the social context in supporting or thwarting optimal motivation.

From Basic Science to Application: SDT and Health

Unlike MI, which was developed in the context of health behavior change (i.e., problem drinking [ 35]), SDT was developed in the context of basic social science (i.e., theory development and testing [ 14, 36, 37]). Much of the early work on SDT focused on the undermining effects of rewards on intrinsic motivation [e.g., [ 38- 40]], and the first applications of SDT were geared toward understanding these processes in education [e.g., [ 41- 43]]. Over the past 10-15 years, a growing body of research has emerged testing the applicability of SDT to health contexts including the healthcare environment, health behavior change, and interventions. Together, the findings from these studies have demonstrated the role of need support and autonomous self-regulation in a variety of mental and physical health outcomes including depression, anxiety, somatization, quality of life, tobacco cessation, physical activity, weight loss, diabetes management, dental health, and medication adherence [ 20]. Below we summarize a few of these studies to highlight the breadth and depth of findings applying SDT to health.

Just as MI arose as a behavior therapy for problem drinking, one of SDT's first forays into health behavior application involved a study of individuals mandated to an 8-week alcohol treatment program [ 44]. Primary outcomes were attendance during the program and clinicians' ratings of patient involvement in treatment. Results revealed that individuals who had more autonomous self-regulation for alcohol treatment evidenced greater treatment attendance, program completion, and clinician-rated treatment involvement.

Williams and colleagues [ 22] studied individuals enrolled in a weight loss program for morbidly obese patients. The 26-week program involved a very low-calorie liquid diet for the first 13 weeks, with normal foods introduced gradually over the final 13 weeks of treatment. Treatment also included once weekly group sessions with 12-15 individuals to discuss feelings and challenges through the weight loss process, facilitate peer support, and provide techniques for self-monitoring diet, physical activity, and weight. Primary outcomes were program attendance and BMI change. Findings demonstrated that those with greater autonomous self-regulation for the weight loss program had better program attendance and greater reductions in BMI. Importantly, autonomous self-regulation for treatment predicted long-term BMI change more than one year after the end of treatment. Further, this study demonstrated a direct link between patients' perceptions of need support from treatment providers and (1) autonomous self-regulation for treatment mid-way through the intervention, (2) program attendance, and (3) BMI change (post-intervention and at long-term follow-up). Autonomous self- regulation for treatment mid-way through the intervention was shown to mediate the association between perceived need support and treatment outcomes, providing the first empirical evidence for the SDT model of health behavior change whereby the social context (i.e., need support) predicts motivation (i.e., autonomous self-regulation) which, in turn, predicts health behavior and/or health outcomes.

SDT has also been applied to the study of adherence to long-term and complex medication routines. In an observational study of 126 patients taking 1 of 30 different medications for more than two months (mean > 6 years), adherence over a 2-week period was strongly related to patients' autonomous self-regulation for taking that medication, as assessed at the beginning of the study. Importantly, patients' perceptions of need support from their healthcare providers also predicted autonomous self-regulation for medication-taking and for medication adherence [ 23]. Similar results were found in a study of 201 HIV+ patients on highly active anti-retroviral therapies (HAART). HAART medications regimens are particularly complex as they involve taking 3-4 medications several times each day. This study also included perceived competence for medication-taking and demonstrated an expanded model whereby perceived need support from health care providers predicted autonomous self-regulation for medication-taking which, in turn, predicted perceived competence for taking the medication. Perceived competence was a stronger and more proximal predictor of medication adherence [ 45]. This model was replicated in a study of medication use in a large closed health care system among more than 2,000 patients with diabetes, and the motivation variables prospectively predicted medication use, glycemic control and healthier cholesterol [ 46]. In other research, to the extent that patients with diabetes perceived their health-care provider to be need-supportive, they experienced greater autonomous self-regulation which, in turn, predicted perceived competence for both maintaining a healthy diet and exercising regularly. Perceived need support at Time 1 predicted lower blood glucose levels over 12 months both directly and indirectly through the links between perceived need support, autonomous self-regulation, and perceived competence [ 47]. Thus, autonomous self-regulation and perceived competence for the prescribed behavior seem to play an important role in behavior and health outcomes, and practitioners play an important role in facilitating these motivational variables.

Recently, researchers have begun developing interventions based on the tenets of SDT and the empirical support for the SDT process model of health behavior change from observational research. Here we describe a few of these interventions. Others are discussed elsewhere in this issue. Some of the earliest developments of SDT-based interventions involved tobacco cessation. In one study, 316 patients who smoked were recruited to have a discussion with their physician about their smoking behavior [ 21]. Physicians were randomly assigned to work with each patient in either a need-supportive or need- thwarting manner (i.e., randomization was at the level of patient) and to use the National Cancer Institute's 4As model for smoking cessation. The need-supportive condition was characterized by eliciting and acknowledging the patient's perspective, providing a rationale for advice given, and minimizing control, while avoiding judgment. The need-thwarting condition was characterized by the physician dominating the conversation, minimizing patient choice, and instructing the patient on what he or she should do, with no rationale or reflection. Patient involvement in the discussion was assessed by independent raters, based on audio tapes of the doctor-patient interaction. Patient smoking status was assessed at 6 months, 12 months, and 30 months post-discussion. Results revealed that observed physician interaction style indirectly predicted patient smoking status through its direct influence on patient involvement-a hallmark of autonomous self-regulation. This intervention is particularly important because it speaks directly to the practical utility of SDT as it was conducted in the real-world setting of a community-based physician group with physicians and their patients, with whom they had had ongoing relationships.

In the Smokers' Health Study, participants were 1,006 smokers who smoked at least five cigarettes per day and had smoked at least 100 cigarettes in their lifetime. Slightly more than half of the participants did not want to try to stop smoking at the time they enrolled in the study. Participants were randomly assigned to either an intensive treatment or community care control. Intensive treatment consisted of four contacts over six months. Practitioners were trained to interact with participants based on the Public Health Service Guideline intensive tobacco dependence treatment [ 48] in an SDT-consistent manner, which included: providing need support, including supporting the participant's decision about whether to stop or continue smoking; providing information about nicotine, tobacco dependence, and tips for successful quitting; exploring barriers and how smoking related to their values; using shared decision-making to develop a plan; problem-solving and skills-building; and access to pharmacotherapy. The community care condition consisted of provision of current pamphlets on stopping smoking and encouragement to discuss smoking with one's physician and was consistent with what was typically prescribed for tobacco cessation in the community at the time [ 49].

Results demonstrated support for the SDT process model whereby greater perceived need support from one's health care providers (including study practitioners) predicted greater increases in autonomous self-regulation and perceived competence for stopping smoking from baseline to the end of the intervention. Greater increases in autonomous self-regulation and perceived competence for stopping smoking predicted better tobacco abstinence 12 months after the end of the intervention, both in terms of 7-day point prevalence and prolonged abstinence. It is worth noting that autonomous self-regulation influenced tobacco abstinence indirectly through its impact on use of smoking cessation medications. This model was invariant across the intervention and community care groups, suggesting that internalization is at least, in part, a naturally-occurring process. However, it is important to note that those in the intervention group, compared to those in community care, evidenced greater perceived need support, greater changes in autonomous self-regulation and perceived competence for stopping smoking, greater medication usage, and higher abstinence rates. Thus, although the process of internalization appears to be a process that occurs naturally in the course of behavior change, this study demonstrated that the process can be accelerated through a need-supportive, SDT-based intervention [ 12]. Importantly, tobacco abstinence was maintained 24 months post-intervention more so for those in the intervention group compared to community care [ 50]. Thus, there is some initial evidence that SDT- based interventions not only facilitate health behavior change, but, importantly its maintenance. Further, change in autonomous self-regulation during treatment directly predicted 7-day abstinence 24 months post-intervention and indirectly predicted change in prolonged abstinence 24 months post- intervention. This suggests that the change in autonomy during treatment continued to motivate new efforts at abstinence well after the intervention was over.

SDT-based interventions have also been developed for dental behaviors and oral health [ 10]. Participants were 86 individuals in a dental clinic randomly assigned to either the SDT intervention or a usual care control group. All participants completed baseline questionnaires to assess autonomous self- regulation and perceived competence for dental care and were provided with a routine dental cleaning. One month following the dental cleaning, participants in the intervention group participated in a 60- minute informational session about dental health conducted by a dental hygienist. The informational session was designed to be consistent with the principles of SDT including acknowledging patient perspectives and feelings about dental health concerns, providing a rationale for dental prophylaxis, and providing choices and options for preventive behaviors that patients could choose to adopt. The dental hygienist also provided competence-support for intervention participants by demonstrating proper brushing and flossing techniques, allowing participants to practice these dental health behaviors, and conveying confidence in participants' ability to maintain these behaviors over time. Six months after the routine dental cleaning, all participants returned for an assessment of their oral health (plaque and gingivitis) and to complete follow-up questionnaires assessing autonomous self-regulation and perceived competence for dental care, self-reported dental behaviors, and attitudes and affect toward dental care. Compared to those in the usual care control, those in the SDT intervention group evidenced greater increases in autonomous self-regulation and perceived competence for dental care, decreases in plaque and gingivitis, better self-reported dental behaviors, and more positive attitudes and affect toward dental care. Importantly, further support for the SDT process model of health behavior change was provided by this study on dental health. Perceived need support of dental health providers predicted greater increases in autonomous self-regulation and perceived competence for dental care, which in turn predicted better dental health behaviors and outcomes (i.e., plaque, gingivitis).

In addition to these interventions developed for tobacco cessation and oral health, there has been a flurry of recent research activities involving SDT-based interventions for weight loss, physical activity, and dietary change. Although previous research has examined SDT variables in the context of traditional medical weight loss interventions [ 22], this recent research activity has used the tenets of SDT to inform the development of interventions for weight loss, physical activity, and diet. For example, in a study of patients in a community-based primary care practice, participants who worked with an SDT-trained physical activity counselor experienced greater need support in the health care climate which predicted greater increases in autonomous self-regulation for physical activity and, in turn, increases in perceived competence for physical activity. Both autonomous self-regulation and perceived competence for physical activity predicted greater increases in physical activity behavior [ 9]. In a one- year, SDT-based intensive behavioral intervention for weight loss among overweight and obese women, weight loss was greater for women in the intervention compared to the control at the end of the intervention and at 1 year post-intervention [ 11, 51]. The intervention explicitly targeted increasing exercise autonomous self-regulation and intrinsic motivation, namely enjoyment of physical activity. The effect of the intervention on autonomous self-regulation was notable because it was large, it was sustained over one year, and it mediated the effect of the intervention on physical activity at 1 and 2 years [ 52]. Further evidence from this study has suggested a "motivational spill-over" whereby autonomous self-regulation for exercise predicted later autonomous self-regulation for healthy eating over one year [ 53]. Thus, facilitating autonomous self-regulation in one health domain may increase autonomous self-regulation in other, related domains. Additional details on each of these studies-and other related studies-are provided elsewhere in this issue.

Considered together, these randomized controlled trials demonstrate that SDT based interventions effect change in several health behaviors that are maintained after a free choice period (tobacco abstinence, physical activity, dental health, and weight loss). These tests of SDT interventions demonstrate mediation by key SDT constructs, thus linking SDT with these interventions' effect on important health behaviors through change in autonomous self-regulation and perceived competence. These studies conducted by several investigators in different countries (all western cultures) support a causal role of change in autonomous self-regulation, and perceived competence in the process of health behavior change.

SDT and MI: Overlap and Distinctions

While SDT and MI have developed independently and have been utilized by relatively independent sets of researchers, recent attention has been given to the complementarity of these perspectives [e.g., [ 5, 6]], including the MI-SDT Satellite Meeting held in Sintra, following the 2009 Annual Meeting of the International Society for Behavioral Nutrition and Physical Activity. It is worth noting that, in this section, we are considering the similarities and distinctions between SDT and MI through the lens of SDT researchers. Thus, it is possible (indeed, likely!) that those who view these two perspectives through the MI lens may see somewhat different similarities and distinctions [cf 7]. We hope that the points outlined below will facilitate further discussion, debate, and, perhaps most importantly, empirical investigation about how these two perspectives may complement and enhance each other and the science of health behavior more broadly.

Miller [ 54] has described MI as being based on concepts such as causal attributions, cognitive dissonance, and self-efficacy-all of which are grounded in social psychological theories and various social cognitive approaches. However, MI has been criticized for being largely atheoretical [ 55]. This lack of an organizing theoretical framework precludes explanations for how and why MI can be effective [ 56- 58], although recent efforts have been made toward the development of an emergent theory of MI [ 13]. This is perhaps the most notable distinction between MI and SDT: SDT is a theory, while MI is a set of techniques (for further discussion of this distinction, see [ 8]). And although an advantage to SDT is that it offers a theoretical basis from which to understand the mechanisms through which SDT-based interventions are efficacious, a challenge to SDT researchers has been to translate theoretical concepts of need-supportive contexts into clinical techniques used in interventions. Thus, because of the consistency between MI techniques and SDT need support, many SDT-based interventions have been informed by MI techniques [e.g., [ 12, 19]]. Importantly, SDT and MI have both drawn on Rogerian perspectives (e.g., unconditional positive regard, and patient centeredness [ 59, 60]) and thus many of the underlying assumptions of both approaches are similar.

One of the areas in which much debate has ensued between SDT and MI researchers is around the area of directiveness. Although Miller and Rollnick [ 61] define MI as both client-centered and directive, MI is also very clear that attempts to directly persuade a client are ineffective in dealing with the client's ambivalence because such persuasive attempts inherently "take sides" in the ambivalence. In contrast, SDT has maintained, in the practice of healthcare interventions, that patient autonomy may be supported, in part, by making explicit recommendations about health and well-being (cf 12, 49). Further, in medical contexts in particular, explicit recommendations are often an expected component of interactions between practitioners and patients, and a practitioners' refusal to provide such direction-in addition to its potential for being unethical-does not support the patient's psychological needs. To illustrate, if a patient asks for a recommendation about treatment for a heart attack, the patient would likely feel a high level of control (e.g., thwarting of need for autonomy) and abandonment (thwarting of need for relatedness), for the doctor to insist the patient choose the treatment without a recommendation. Within SDT, recommendations must be given after eliciting and acknowledging client perspectives, non-coercively and in an autonomy-supportive way. When provided in this manner, the recommendation is more likely to be experienced by the patient as being informational, as opposed to coercive, and thus supports the patient in making the decision himself or herself (e.g., "I believe that stopping smoking is the best thing for your health, but only you can decide if you are going to smoke or not. The choice is ultimately yours, and I am here to support you in whatever decision you make."). More recent formulations of MI have allowed for medical practitioners to make recommendations when patients specifically ask for advice and have encouraged directiveness in the case of provoking change talk [ 13]. It is also possible that, as with the case of intrinsic motivation (described below), these two perspectives have defined "directive" in somewhat different ways.

Another distinction between MI and SDT is around the use of the term "intrinsic motivation." MI maintains that a primary goal of the techniques employed in MI interventions is to enhance intrinsic motivation [e.g., [ 61]]. However, SDT and other motivational theories [e.g., [ 62, 63]] have defined intrinsic motivation as engaging in an activity for its own sake, because it is inherently enjoyable, satisfying or challenging. Given this definition, it seems likely that, rather than enhancing intrinsic motivation, MI techniques facilitate the process of internalization of extrinsic motivations (see [ 6] for a more detailed discussion of this point). This issue is largely one of semantics and may be one area in which SDT may serve to refine and enhance MI.

Despite these differences, there is actually a good deal of conceptual overlap and similarity between SDT and MI. Perhaps most noteworthy is that both SDT and MI start with the same basic assumption: That humans are naturally oriented toward growth, health and well-being. Additionally, both identify and work with-rather than attempt to combat-patient's ambivalence toward change. Further, MI techniques are at least partially consistent with SDT's notion of need support. Although traditionally, SDT has spoken primarily to the issue of autonomy support, the way in which perceptions of autonomy support have traditionally been measured (i.e., HCCQ [e.g., [ 17, 21, 22]]) and the nature of SDT-based interventions really address all three psychological needs. Indeed, perceived competence is facilitated by autonomous self-regulation, which arises out of need-supportive contexts [e.g., [ 20]]. Once individuals have a high willingness to act, they are more likely to learn new knowledge and apply new strategies that result in greater perceived competence. SDT predicts that perceived competence alone is not sufficient to motivate behavior; it must be accompanied by autonomy. This is in contradistinction to Social Cognitive Theory [ 64] which places nearly exclusive emphasis on self-efficacy.

As mentioned previously, MI techniques have informed some of the SDT interventions to date [e.g., [ 9, 11, 12]]. These SDT-based interventions are discussed in greater detail elsewhere in this issue [cf 64]. MI originally identified four key principles consistent with the practice of MI techniques: use of an empathic interpersonal style, development of discrepancy, rolling with resistance, and supporting self- efficacy for change [ 62, 65]. More recent conceptualizations of MI applications to health care contexts have used somewhat different terminology, though the spirit of MI remains much the same [ 66]. Here we provide a brief overview of the current conceptualization of MI's four guiding principles (RULE = Resist the righting reflex, Understand and explore the patient's motivations, Listen to the patient empathically, Empower the patient) and three core communication skills (ask, listen, inform). We also discuss how these elements of MI are consistent with the support of psychological needs identified by SDT and thus, may support the process of internalization more broadly.

MI recognizes the natural tendency for those in the helping professions-particularly those in health care settings-to want to try to "fix" whatever is wrong with their patients or clients. However, MI also notes that resistance can arise when patients feel that their practitioner is trying to convince them of a particular course of action. This may be particularly pronounced in situations in which the individual feels ambivalent about change. Thus, it is critical that practitioners resist the righting reflex and instead allow clients to explore both sides of their ambivalence so that, in the end, the client is the one giving voice to reasons for change [ 66]. This guiding principle is similar to what SDT describes as minimizing control and remaining nonjudgmental. This may support clients' needs for both autonomy and relatedness by allowing patients the freedom to explore reasons for or against change (autonomy) in a non-judgmental context (relatedness).

Like SDT, from the perspective of MI, it is critical for patients to experience themselves as the originators of their actions toward behavior change. Thus, practitioners need to understand and explore the patient's motivations. This includes exploring how the patient views their current behavior and situation, concerns about change, and other goals and values [ 66]. This guiding principle of MI is consistent with SDT autonomy support, particularly eliciting and acknowledging client perspectives and emotions, supporting client initiative, and assessing values.

One of the defining features of MI is its emphasis on listening to the patient empathically. Thus, MI places importance on listening over informing on the part of practitioners, and an empathic interpersonal style, including an authentic interest in understanding the client [ 61, 65, 66]. According to MI, the client must feel personally accepted and valued before behavior change is possible. Listening to a patient empathically likely supports the client's need for relatedness and reflects that both MI and SDT emerged from the Rogerian school of thought, which promotes unconditional positive regard and patient centeredness as paramount to the therapeutic relationship [ 60]. Finally, the fourth guiding principle of MI- empower the patient - involves supporting self-efficacy for change. This technique likely primarily supports clients' need for competence by enhancing their confidence in being able to make progress toward positive change and to cope with challenges and barriers as they arise.

In addition to these four guiding principles, MI researchers have also articulated three core communication skills that provide practical utility to these principles. These communication skills include asking, listening, and informing. The purpose of asking is to elicit the client's perspective so that the practitioner understands where the patient is coming from and how the patient approaches the possibility of behavior change. Listening is an active process whereby the practitioner "checks in" with the client to ensure that he or she has an accurate understanding of client's perspective, motivations, and struggles through the process of behavior change. Finally, informing is the primary means by which practitioners convey knowledge to a client about their health condition, the behavior changes necessary to monitor or improve the health condition, and treatment options that may be available.

Directions for the Future

Although SDT and MI originally began on two distinct paths, it seems clear from this special issue, the meeting in Sintra, and previous publications elsewhere [e.g., [ 5, 6, 67, 68]] that there is now a critical mass of researchers engaged in dialogue about the similarities and distinctions between SDT and MI. However, it is important that this endeavor not stagnate with discussion and debate. Indeed, the next steps in this process of bringing together this theory and these clinical techniques must be borne out empirically. SDT has not yet identified the critical components for supporting psychological needs and facilitating autonomous self-regulation and perceived competence in health behavior interventions. MI techniques and their assessments may be useful additions to current SDT interventions in informing this empirical avenue.

Some MI interventions have included SDT measures [e.g., [ 69, 70]], and this is an important step toward empirically testing the similarities between the two approaches. However, to date, results on whether MI interventions facilitate change in autonomous self-regulation, in particular, have been somewhat mixed, though some research has found that autonomous self-regulation mediates the association between MI intervention and treatment outcome [ 71]. Additional research is needed to identify which principles of MI operate on need support and the process of internalization. Further, current measures from SDT may need to be refined to better capture all three dimensions of perceived need support and to more accurately assess fluctuations in autonomous self-regulation and perceived competence in the initial stages of behavior change as well as behavior maintenance. In addition, assessment techniques, advanced analytic methods (growth curve analysis and latent trajectory modeling) and the use of internet technology and mobile devices in ecological momentary sampling may also improve researchers' ability to detect changes in motivation in response to provision of specific components of need support.

Finally, future research in which MI and SDT-based interventions are directly compared are needed to (1) more clearly elucidate the extent to which SDT can explain how and why MI interventions effect behavior, (2) identify aspects of SDT-based interventions that are similar to and distinct from MI (e.g., MI coding of SDT interventions and vice versa), (3) determine if MI interventions facilitate change in both autonomous self-regulation and perceived competence and support the need for relatedness, and (4) better clarify how both approaches can be used in concert to yield the most positive results. These empirical endeavors require not only a bridging of ideas but, perhaps more importantly, the convergence of a multi-conceptual team with representation from both SDT and MI camps to refine MI techniques, to improve SDT applications to health behavior, and to further expand our understanding of these approaches and how they serve to facilitate the initiation and maintenance of health behavior change.

Miller and Rose [ 13] recently published a statement on a theory for MI. Although SDT was not mentioned directly in that publication, SDT researchers may facilitate linking SDT to MI through empirical study of how eliciting change talk is experienced by clients (i.e., as relatively more or less need-supportive) and the extent to which change talk reflects a shift in patients' perceived locus of causality and/or change in autonomous self-regulation. From the SDT perspective, change talk is a reflection of the client or patient shifting from a voice of external locus of causality to internal -literally reflecting "real time" internalization. However, it is not clear that this is precisely how MI views change talk. Miller and Rose [ 13] and others have placed strong emphasis on practitioners actively promoting and eliciting change talk. This may be somewhat inconsistent with SDT. The aggressive push toward change talk may reflect an underlying assumption that the person is better off changing (when in fact this may not be their goal). Pushing change talk may be experienced as coercive and judgmental, and thus is not need-supportive. Self-determination theorists will also need to carefully consider whether MI's statement of theory is consistent with SDT. Particularly important for SDT theorists and researchers will be the resolution of issues such as MI's conceptualization of intrinsic motivation, the role of directiveness, and the issue of development of discrepancy. Though the latter is not explicitly listed in current conceptualizations of MI's guiding principles, the extent to which development of discrepancy is key to the execution of MI interventions may be important particularly with respect to whether this aspect of MI supports or thwarts need satisfaction.

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Self-determination theory: its application to health behavior and complementarity with motivational interviewing

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An impressive body of research has provided convincing evidence for the pivotal role of behavior in well-being, and morbidity and mortality, as well as health care costs [ 1]. Indeed, some estimates indicate that nearly 3/4 of all health care costs are attributable to chronic diseases resulting from health behaviors such as tobacco use and exposure, poor diet, and physical inactivity [ 2].

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Behaviour change is only a short term intervention?

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Behaviour change is only a short term intervention?

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http://believeperform.com/wellbeing/exercise-behaviour-and-stages-of-change/

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http://www.atsdr.cdc.gov/communityengagement/pce_models.html

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The Team | The Behavioural Insights Team