A review of health behaviour theories: how useful are these for developing interventions to promote long-term medication adherence for TB and HIV/AIDS?
© Munro et al; licensee BioMed Central Ltd. 2007
Received: 14 August 2006
Accepted: 11 June 2007
Published: 11 June 2007
Suboptimal treatment adherence remains a barrier to the control of many infectious diseases, including tuberculosis and HIV/AIDS, which contribute significantly to the global disease burden. However, few of the many interventions developed to address this issue explicitly draw on theories of health behaviour. Such theories could contribute to the design of more effective interventions to promote treatment adherence and to improving assessments of the transferability of these interventions across different health issues and settings.
This paper reviews behaviour change theories applicable to long-term treatment adherence; assesses the evidence for their effectiveness in predicting behaviour change; and examines the implications of these findings for developing strategies to improve TB and HIV/AIDS medication adherence. We searched a number of electronic databases for theories of behaviour change. Eleven theories were examined.
Little empirical evidence was located on the effectiveness of these theories in promoting adherence. However, several models have the potential to both improve understanding of adherence behaviours and contribute to the design of more effective interventions to promote adherence to TB and HIV/AIDS medication.
Further research and analysis is needed urgently to determine which models might best improve adherence to long-term treatment regimens.
Theories may assist in the design of behaviour change interventions in various ways [1–3], by promoting an understanding of health behaviour, directing research and facilitating the transferability of an intervention from one health issue, geographical area or healthcare setting to another.
Ensuring treatment adherence presents a considerable challenge to health initiatives. Haynes et al. (, p2) have defined adherence as "the extent to which patients follow the instructions they are given for prescribed treatments". Adherence is a more neutral term than 'compliance', which can be construed as being judgmental. While programmes promoting adherence have focused on various health behaviours, this review focuses specifically on long-term adherence to tuberculosis (TB) and HIV/AIDS treatment. Non-adherence to treatment for these diseases has severe human, economic and social costs. Interrupted treatment may reduce treatment efficacy and cause drug resistance , resulting in increased morbidity and mortality and further infections. Without intervention, adherence rates to long-term medication in high income countries are approximately 50% , while adherence in low and middle income countries may be even lower .
TB and HIV present particular challenges to adherence. Both are chronic and infectious diseases that affect mainly the most disadvantaged populations and involve complex treatment regimens with potentially severe side effects; both are public health priorities and non-adherence may cause drug resistance . These characteristics differentiate these diseases from other chronic diseases such as asthma and hypertension where, for example, drug resistance is not a key issue. Treatment adherence is also affected by beliefs about the origins, transmission and treatment of TB and HIV, often resulting in the stigmatisation of those affected . The interaction of these factors make adherence for these diseases not only a priority but a complex health issue.
Various interventions have been designed to improve treatment adherence, but few theories describe specifically the processes involved. Currently, there are more than 30 psychological theories of behaviour change , making it difficult to choose the most appropriate one when designing interventions. This is a particular problem within the field of adherence to long-term medications, where the consequences of non-adherence may be severe. Existing theories therefore need to be examined further to determine their relevance to the issue of long-term medication adherence.
Leventhal and Cameron  identified five main theoretical perspectives related to adherence: 1) biomedical; 2) behavioural; 3) communication; 4) cognitive; and 5) self-regulatory. Each perspective encompasses several theories. More recently, the stage perspective has emerged, which includes the transtheoretical model. The most commonly used theories are those within the cognitive perspective [1, 10] and the transtheoretical model . This review includes a short description of theories within each of the five perspectives listed above, as well as the transtheoretical model. We locate these theories specifically within the realm of adherence to long-term medication, defined as medication regimens of three months or more; describe their key characteristics and evidence base; and examine their relevance and applicability with regard to adherence to long-term medication regimens for TB and HIV/AIDS. To our knowledge, the area of long-term adherence to medication has not yet been addressed in reviews of health behaviour theories.
While the focus of this review is on factors affecting consumers, we acknowledge that adherence is a complex and dynamic phenomenon, which relates to consumers, providers, health systems and broader socio-economic and political contexts. Although the theories chosen for this review focus mainly on providers and consumers, this is not the only area in which adherence can be promoted. The review is intended as an information source for those wishing to develop theory-based interventions focusing on intra- or interpersonal factors to increase TB and/or HIV treatment adherence.
A search was performed on MEDLINE, CINAHL, Pre-CINAHL, PsycInfo, ScienceDirect and ERIC databases using the keywords 'health and behaviour and (model or theory)'; '(model or theory); (adherence or concordance or compliance)', from the start date of each database to February 2005. Additional searches were performed in the University of Cape Town library, Google and Google Scholar. Citations were also identified from included papers. Finally, all databases consulted were searched again using the names of theories as keywords, with 'meta-analysis' or 'systematic review' in April 2005. Experts were consulted for comments and references. Published articles or book chapters in English, describing a particular theory, and articles that presented a meta-analysis of the theory, were included. Articles were excluded if they did not satisfy the aforementioned criteria. Where possible, interventions related to TB or HIV adherence were identified. No authors were contacted. Several additional randomised controlled studies or other articles were also included as examples of the use of theories in intervention development. In this paper we use the term 'theory', instead of 'model', and the term 'variable', instead of 'construct', when referring to a part of the theory.
Summary of selected health behaviour theories*
Meta-analyses examining the model
Evidence supporting theory
None identified (NI)
Rosenstock et al. 1966
1. 46 studies- substantial empirical support.
2. 16 studies; at best 10% of variance accounted for by any one dimension of the theory.
27 studies; self-efficacy explained between 4% and 26% of variance
Fishbein & Ajzen, 1975
Theory explains about 25% of variance in behaviour from intention alone, and explains slightly less than 50% of variance in intentions.
Fishbein & Ajzen, 1975
1. 13 studies; 75% of interventions effected a change in behaviour in desired direction.
2. 56 studies; About a third of the variations in behaviour can be explained by the combined effect of intention and perceived behavioural control in the domain of health.
3. 185 independent empirical tests: combined effect of intention and perceived behavioural control explained about a third of variation in behaviour. Theory can explain 20% of prospective measures of actual behaviour.
65 studies – Moderate effects in predicting behaviour.
Leventhal et al. 1980
Fisher and Fisher 1992
Prochaska & DiClemente 1983
1. Stage based interventions not more effective at increasing smoking cessation than non-stage based interventions.
2. 91 independent samples. Results support that individuals use all 10 processes of change.
The biomedical perspective
The biomedical perspective incorporates the biomedical theory in which patients are assumed to be passive recipients of doctors' instructions . Health or disease is traced back to biomedical causes, such as bacteria or viruses, and treatment is therefore focused on the patient's body . In keeping with this mechanistic view of illness, mechanical solutions, such as prescribed pills, are preferred ; non-adherence is understood to be caused by patient characteristics, such as age and gender . Technological innovations to promote adherence, such as Medication Event Monitoring Systems ®, are sometimes rooted in this perspective . However, despite its implicit use by many health professionals, this perspective is infrequently used explicitly in interventions.
A fundamental limitation of this theory is that it ignores factors other than patient characteristics that may impact on health behaviours – for example, patients' perspectives of their own illness ; psycho-social influences ; and the impacts of the socio-economic environment. The socio-economic environment or demographics may, however, be markers for other factors that lend themselves to intervention even though they themselves cannot be changed . The danger of using demographics as proxy variables for adherence is that certain groups that come to be seen as "lost causes" may be excluded (e.g. ). This biomedical theory has recently been integrated into a larger "biopsycho-socio-environmental" theory, which incorporates the wider socio-environmental context . However, this theory is not located strictly within the biomedical approach. Due to the assumption that patients are passive and the focus on biomedical factors, it is unlikely that the biomedical theory can contribute significantly to TB or HIV medication adherence. Patients are generally active decision makers and do not merely receive and follow instructions passively. No meta-analyses specifically examining this perspective were identified.
Behavioural (learning) perspective
Adherence promoting strategies informed by this perspective, such as patient reminders, have been found to improve adherence . Several interventions incorporating elements of BLT have also been reported to be effective for adherence to long-term medications . However, a more recent meta-analysis examining adherence to highly active antiretroviral (ARV) therapy concluded that interventions with cue dosing and external rewards – approaches derived from BLT -were as efficacious as those without . Another randomised controlled trial on ARVs reported a negative effect when using electronic reminder systems . Further evidence is therefore needed on the effectiveness of these types of strategy.
BLT has been critiqued for lacking an individualised approach and for not considering less conscious influences on behaviour not linked to immediate rewards . These influences include, for example, past behaviour, habits, or lack of acceptance of a diagnosis. The theory is limited, too, by its focus on external influences on behaviour. Programme planners should therefore consider carefully individuals' perceptions of appropriate rewards before using such theory to inform programme design. Interventions drawing on behavioural theory are often used in combination with other approaches, although seldom explicitly. No meta-analyses were found that examined this perspective.
Communication is said to be "the cornerstone of every patient-practitioner relationship" [, p. 56]. This perspective suggests that improved provider-client communication will enhance adherence [7, 11] and implies that this can be achieved through patient education and good health care worker communication skills – an approach based on the notion that communication needs to be clear and comprehensible to be effective. It also places emphasis on the timing of treatment, instruction and comprehension. An example of an intervention utilising this perspective is one that aims to improve client-provider interaction. Critiques of this perspective argue that it ignores attitudinal, motivational and interpersonal factors that may interfere with the reception of the message and the translation of knowledge into behaviour change .
A number of reviews have examined the effects of interventions including communication elements [18–21]. However, few of these have examined the effects of communication on health behaviours specifically. Two reviews focusing on interventions to improve provider-client communication showed that these can improve communication in consultations, patient satisfaction with care  as well as health outcomes . However, these reviews also show limited and mixed evidence on the effects of such interventions on patient health care behaviours, such as adherence.
Communication components have been used within several adherence interventions but seldom explicitly or as the main component. Such interventions are unlikely to succeed in isolation in improving long-term adherence to medications because of the influence of external factors, such as the costs of accessing healthcare for treatment. Communication interventions are also typically restricted to provider-client interactions and additional social or financial support may thus be required.
The cognitive perspective includes theories such as the health belief model (HBM), social-cognitive theory (SCT), the theories of reasoned action (TRA) and planned behaviour (TPB) and the protection motivation theory (PMT). These theories focus on cognitive variables as part of behaviour change, and share the assumption that attitudes and beliefs , as well as expectations of future events and outcomes , are major determinants of health related behaviour. In the face of various alternatives, these theories propose, individuals will choose the action that will lead most likely to positive outcomes.
These theories have noticeable weaknesses, however: firstly, that non-voluntary factors can affect behaviour ; devoting time to conscious deliberation regarding a repeated choice also seems uneconomical . Secondly, these theories do not adequately address the behavioural skills needed to ensure adherence . Thirdly, these theories give little attention to the origin of beliefs and how these beliefs may influence other behaviours . In addition, it has been argued that they ignore other factors that may impact on adherence behaviour, such as power relationships and social reputations , and the possibility that risk behaviour may involve more than one person . It has also been suggested that they focus on a single threat and prevention behaviour and do not include possible additional threats competing for the individual's attention .
Health Belief Model
The HBM views health behaviour change as based on a rational appraisal of the balance between the barriers to and benefits of action . According to this model, the perceived seriousness of, and susceptibility to, a disease influence individual's perceived threat of disease. Similarly, perceived benefits and perceived barriers influence perceptions of the effectiveness of health behaviour. In turn, demographic and socio-psychological variables influence both perceived susceptibility and perceived seriousness, and the perceived benefits and perceived barriers to action [1, 7]. Perceived threat is influenced by cues to action, which can be internal (e.g. symptom perception) or external (e.g. health communication) (Rosenstock, 1974 in ).
High-perceived threat, low barriers and high perceived benefits to action increase the likelihood of engaging in the recommended behaviour . Generally, all of the model's components are seen as independent predictors of health behaviour . Bandura  notes, however, that perceived threats – especially perceived severity – have a weak correlation with health action and might even result in avoidance of protective action. Perceived severity may also not be as important as perceived susceptibility. Recently, self-efficacy was added into the theory , thereby incorporating the need to feel competent before effecting long-term change .
There are two main criticisms of this theory: firstly, the relationships between these variables have not been explicitly spelt out  and no definitions have been constructed for the individual components or clear rules of combination formulated . It is assumed that the variables are not moderated by each other and have an additive effect . If, for example, perceived seriousness is high and susceptibility is low, it is still assumed that the likelihood of action will be high -intuitively one might assume that the likelihood in this case would be lower than when both of the variables are high [22, 32]. The HBM also assumes that variables affect health behaviour directly and remain unmoderated by behavioural intentions . The second major weakness of HBM is that important determinants of health behaviour, such as the positive effects of negative behaviours and social influence, are not included [22, 32]. In addition, some behaviours such as smoking are based on habits rather than decisions . While the theory may predict adherence in some situations, it has not been found to do so for "risk reduction behaviours that are more linked to socially determined or unconscious motivations" [, p.165].
The two reviews identified that examined this theory had inconclusive results. A critical review  examined 19 studies which involved sick role behaviours, such as compliance to antihypertensive medication. While the four dimensions of the model produced significant effects in most of the studies included , the studies had considerable methodological gaps. A more recent meta-analysis  indicated that while the HBM was capable of predicting 10% of variance in behaviour at best, the included studies were heterogeneous and were unable to support conclusions as to the validity of the model. Therefore further studies are needed to assess the validity of this theory. When applying this theory to long-term medication adherence, it is also important for the influence of socio-psychological factors to be considered. For example, cultural beliefs about TB – such as its relationship with witchcraft  – may reduce an adherence intervention's effectiveness.
The protection-motivation theory
According to this theory, behaviour change may be achieved by appealing to an individual's fears. Three components of fear arousal are postulated: the magnitude of harm of a depicted event; the probability of that event's occurrence; and the efficacy of the protective response . These, it is contended, combine multiplicatively to determine the intensity of protection motivation , resulting in activity occurring as a result of a desire to protect oneself from danger . This is the only theory within the broader cognitive perspective that explicitly uses the costs and benefits of existing and recommended behaviour to predict the likelihood of change .
An important limitation of this theory is that not all environmental and cognitive variables that could impact on attitude change (such as the pressure to conform to social norms) are identified . The most recent version of the theory assumes that the motivation to protect oneself from danger is a positive linear function of beliefs that: the threat is severe, one is personally vulnerable, one can perform the coping response (self efficacy) and the coping response is effective (response efficacy) . Beliefs that health-impairing behaviour is rewarding but that giving it up is costly are assumed to have a negative effect . However, the subdivision of perceived efficacy into categories of response and self efficacy is perhaps inappropriate – people would not consider themselves capable of performing an action without the means to do it .
A meta-analysis examining this theory found only moderate effects on behaviour . The revised PMT may be less cumbersome to use than the TRA – it also does not assume that behaviour is always rational. . The PMT may be appropriate for adherence interventions as it is unlikely that an individual consciously re-evaluates all of their routine behaviours such as, for example, taking long-term medication. However, the influence of social, psychological and environmental factors on motivation requires consideration by those using this approach.
This theory evolved from social learning theory and may be the most comprehensive theory of behaviour change developed thus far . It posits a multifaceted causal structure in the regulation of human motivation, action and well-being  and offers both predictors of adherence and guidelines for its promotion . The basic organising principle of behaviour change proposed by this theory is reciprocal determinism in which there is a continuous, dynamic interaction between the individual, the environment and behaviour .
Social-cognitive theory suggests that while knowledge of health risks and benefits are a prerequisite to change, additional self-influences are necessary for change to occur . Beliefs regarding personal efficacy are among some of these influences, and these play a central role in change. Health behaviour is also affected by the expected outcomes – which may be the positive and negative effects of the behaviour or the material losses and benefits. Outcomes may also be social, including social approval or disapproval of an action. A person's positive and negative self-evaluations of their health behaviour and health status may also influence the outcome. Other determinants of behaviour are perceived facilitators and barriers. Behaviour change may be due to the reduction or elimination of barriers . In sum, this theory proposes that behaviours are enacted if people perceive that they have control over the outcome, that there are few external barriers and when individuals have confidence in their ability to execute the behaviour .
A review reported that self efficacy could explain between 4% and 26% of variance in behaviour . However, this analysis was limited to studies of exercise behaviour, and did not include reports that examined SCT as a whole. Due to its wide-ranging focus, this theory is difficult to operationalise and is often used only in part , thus raising questions regarding its applicability to intervention development.
Theory of planned behaviour and the theory of reasoned action
The first work in this area was on the TRA .
The TRA assumes that most socially relevant behaviours are under volitional control, and that a person's intention to perform a particular behaviour is both the immediate determinant and the single best predictor of that behaviour . An intention to perform a behaviour is influenced by attitudes towards the action, including the individual's positive or negative beliefs and evaluations of the outcome of the behaviour. It is also influenced by subjective norms, including the perceived expectations of important others (e.g. family or work colleagues) with regard to a person's behaviour; and the motivation for a person to comply with others' wishes. Behavioural intention, it is contended, then results in action . The authors argue that other variables besides those described above can only influence the behaviour if such variables influence attitudes or subjective norms. A meta-analysis examining this theory found that it could explain approximately 25% of variance in behaviour in intention alone, and slightly less than 50% of variance in intentions . This suggests that support for this theory is limited.
Additionally, The TRA omits the fact that behaviour may not always be under volitional control and the impacts of past behaviour on current behaviours . Recognising this, the authors extended the theory to include behavioural control and termed this the TPB. 'Behavioural control' represents the perceived ease or difficulty of performing the behaviour and is a function of control beliefs . Conceptually it is very similar to self-efficacy  and includes knowledge of relevant skills, experience, emotions, past track record and external circumstances (Ajzen, in ). Behavioural control is assumed to have a direct influence on intention . Meta-analyses examining the TPB have found varied results regarding the effectiveness of the theory's components [47–49]. Although not conclusive, the results of the analyses are promising.
Sutton  suggests that the TRA and TPB require more conceptualisation, definition and additional explanatory factors. Attitudes and intentions can also be influenced by a variety of factors that are not outlined in the above theories . Specifically, these theories are largely dependent on rational processes  and do not allow explicitly for the impacts of emotions or religious beliefs on behaviour, which may be relevant to stigmatised diseases like TB and HIV/AIDS.
Information-motivation-behavioural skills (IMB) theory
This theory was developed to promote contraceptive use and prevent HIV transmission. IMB was constructed to be conceptually based, generalisable and simple . It has since been tailored specifically to designing interventions to promote adherence to ART 
This theory focuses on three components that result in behaviour change: information, motivation and behaviour skills. Information relates to the basic knowledge about a medical condition, and is an essential prerequisite for behaviour change but not necessarily sufficient in isolation . A favourable intervention would establish the baseline levels of information, and target information gaps . The second component, motivation, results from personal attitudes towards adherence; perceived social support for the behaviour; and the patients' subjective norm or perception of how others with the condition might behave . Finally, behavioural skills include factors such as ensuring that the patient has the skills, tools and strategies to perform the behaviour as well as a sense of self-efficacy – the belief that they can achieve the behaviour .
The components mentioned above need to be directly relevant to the desired behaviour to be effective . They can also be moderated by a range of contextual factors such as living conditions and access to health services . Information and motivation are thought to activate behavioural skills, which in turn result in risk reduction behavioural change and maintenance . The theory is said to be moderately effective in promoting behaviour change , and has been shown to have predictive value for ART adherence . However, no meta-analyses were identified that assessed the effects of this model. The advantage of IMB is its simplicity and its recent application to ART adherence suggests that it may be a promising model for promoting adherence to TB medication.
Self-regulatory theory is the main theory in this domain. Developed to conceptualise the adherence process in a way that re-focuses on the patient , the theory proposes that it is necessary to examine individuals' subjective experience of health threats to understand the way in which they adapt to these threats. According to this theory, individuals form cognitive representations of health threats (and related emotional responses) that combine new information with past experiences . These representations 'guide' their selection of particular strategies for coping with health threats, and consequently influence associated outcomes . The theory is based on the assumption that people are motivated to avoid and treat illness threats and that people are active, self-regulating problem solvers . Individuals, it is implicitly assumed, will endeavour to reach a state of internal equilibrium through testing coping strategies. The process of creating health threat representations and choosing coping strategies is assumed to be dynamic and informed by an individual's personality, and religious, social and cultural context . In addition, a complex interplay exists between environmental perceptions, symptoms and beliefs about disease causation .
The self-regulation theory offers little guidance related to the design of interventions  and no meta-analyses examining evidence for the effectiveness of this theory were identified. While the theory seems intuitively appropriate, specific suggestions are needed as to how these processes could promote adherence.
The transtheoretical model (TTM)
This theory is most prominent among the stage perspectives. It hypothesizes a number of qualitatively different, discrete stages and processes of change, and reasons that people move through these stages, typically relapsing and revisiting earlier stages before success [58, 59]. This theory is said to offer an "integrative perspective on the structure of intentional change" [, p. 1102] – the perceived advantages and disadvantages of behaviour are crucial to behaviour change .
The process of change includes independent variables that assess how people change their behaviour  and the covert and overt activities that help individuals towards healthier behaviour . Different processes are emphasised at different stages.
Criticisms of TTM include the stages postulated and their coverage and definitions, and descriptors of change. According to Bandura , this theory violates all three of the basic assumptions of stage theories: qualitative transformations across discrete stages, invariant sequence of change, and non-reversibility. In addition, the proposed stages may only be different points on a larger continuum [29, 58, 63]. Bandura  suggests that human functioning is too multifaceted to fit into separate, discrete stages and argues that stage thinking could constrain the scope of change-promoting interventions. Furthermore, TTM provides little information on how people change and why only some individuals succeed .
Sutton  argues that the stage definitions included in the TTM are logically flawed, and that the time periods assigned to each stage are arbitrary. Similarly, there is also a need for more attention to measurement, testing issues and definition of variables and causal relationships . The coverage and type of processes included may also be inadequate .
The TTM has received much practitioner support over the years, but less direct research support for its efficacy [3, 10]. The meta-analyses identified for this review did not offer direct support for the theory; while one found that individuals use all 10 processes of change , another found that interventions that used the stage perspective were not more efficient than those not using the theory . Further evidence of its efficacy is therefore needed. A strength of this theory is that it allows interventions to be tailored to individual needs. However, large-scale implementation of these interventions may be time consuming, complicated and costly. Its use may be more appropriate in areas where rapid behaviour change is not necessary.
This review has discussed a number of health behaviour theories that contribute to understanding adherence to long-term medications, such as those for TB and HIV/AIDS.
Although the use of theory to develop interventions to promote adherence offers several advantages, it also has some limitations. Firstly, there is little evidence that allows for the direct comparison of these theories . Combining studies based on even one theory, in order to perform a meta-analysis to assess its effectiveness in predicting behaviours, is difficult due to various methodological problems in the original studies . Furthermore, the number of theories in this field has proliferated over time, as theorists have examined different areas of behaviour and engaged in re-examining existing explanatory theories. Researchers, health planners and practitioners may therefore be overwhelmed by the multitude of theories available to them and the fragmented, and often contradictory, evidence. Questions also remain regarding the applicability of these theories to contexts other than those in which they were developed. Ashing-Giwa , for example, suggests that the above theories do not address socio-cultural aspects sufficiently. Issues such as the stigma attached to TB due to its perceived relation to HIV (especially in developing countries) may impact on the acceptability and the uptake of interventions. Further attention should therefore be given to the question of whether theories developed in the USA and the UK are applicable to individuals in other contexts where the disease burden from HIV/AIDS and TB is greatest.
Secondly, health behaviour change theories have tended to encompass a wide variety of health behaviours, each qualitatively different. The systematic reviews identified for this paper included studies ranging from smoking cessation to mothers limiting babies' sugar intake. Particular theories may be more applicable than others to improving adherence to specific health behaviours. For example, adherence to long-term medication will necessarily be different to a behaviour change required to take up exercise. In addition, achieving adherence to TB medication may be seen as an urgent issue for public health because of its infectiousness, and the recent emergence of extremely drug resistant strains . It is difficult therefore to compare the effects of the theories across health categories or even within individual categories.
Thirdly, few studies were identified that had examined the selected health behaviour theories in relation to long-term medication adherence, or that had developed interventions to promote long-term adherence explicitly based on these theories, particularly for TB. Sumartojo's  assessment that a theory-based approach has largely been absent within the field of TB behavioural research appears to remain valid today.
The application of theories to the design of interventions remains a challenge for researchers and programme planners  and there is considerable debate concerning the effectiveness and usefulness of theory in informing intervention development (see [2, 70, 71]). Despite a variety of studies in a variety of fields, or perhaps because of this variation, we would argue that there is no clear evidence yet for the support of any of these theories within the field of adherence behaviours. This is not to say that these theories cannot be useful – rather, we have insufficient evidence to conclusively determine this.
While these discussions continue, research should aim to shed light on the key questions related to the theory-intervention debate: Do sound theories result in effective interventions? Does an effective intervention constitute proof of a theory's value? How might theory be used to inform the design of an effective intervention? And how can a theory be reliably tested? Some research work has already been undertaken in these areas: in a systematic review of antiretroviral treatment adherence interventions, Amico et al.  found that the use of theory in constructing an intervention did not account for variability in the intervention's efficacy. However, it is unclear how many of the 24 included studies in this review articulated a health behaviour change theory or the extent to which this was done.
Two possible approaches have been suggested to addressing the difficulties raised by the multitude of existing theories on health behaviour change. One approach is to attempt to identify variables common to these theories. This has been undertaken for 33 health behaviour change theories  in order to make psychological theories more accessible and easier to select. The results of this study provide some guidance on the most important variables in psychological theories, and may assist in the further development of health behaviour change theories. A second approach is to attempt to integrate the theories. While there is a need for such theoretical integration , we argue that researchers and theorists alike should be cautious when picking and choosing parts of other theories to develop further theories – so-called "cafeteria-style theorizing" – as the resulting theories may include redundant variables [, p. 285].
Because some theories share overlapping variables describing using different names [8, 41], and most differences are due to an emphasis of one variable over another , it would serve the development of this field to conduct studies to identify particular variables that perform best in predicting behaviour change. For example, in a meta-analysis of randomised controlled trials testing antiretroviral treatment adherence interventions, Simoni  found that giving basic information to patients, and engaging them in discussion about helping them to overcome cognitive factors, lack of motivation and unrealistic expectations about adherence, were effective in improving adherence. Similarly, comparative studies between theories could be used to identify effective components . The field of health behaviour theory remains dynamic, and it is important to continue developing existing theories and approaches as new evidence emerges.
Applying health behaviour theories to medication adherence for TB and HIV/AIDS
How optimal adherence for TB and HIV/AIDS can be ensured remains an important question. While large numbers of studies have explored patients' and health care providers' views regarding adherence to TB treatment  or have described programmes to improve adherence to these medications, there are still relatively few rigorous evaluations of interventions to promote adherence to TB and HIV/AIDS treatments [76, 77]; even fewer have explicitly utilised behaviour change theories. For example, a systematic review of interventions to promote adherence to TB treatment  included ten trials, none of which used an explicit theoretical framework. A similar review identified seven different randomised controlled trials of interventions to promote adherence to antiretroviral therapy , of which only one employed an explicit theoretical framework. Similar figures have been reported in other domains: a review of guideline implementation studies showed that less than 10% of these provided an explicit theoretical rationale for their intervention . Given the paucity of evidence to support any particular health behaviour theory, we cannot therefore suggest that these theories be used routinely to design adherence promoting interventions. However, since these theories may well have practical behaviour change potential, and since the problem of medication adherence remains significant for both clinical medicine and public health, further exploratory and explanatory research is needed.
Recommendations for using health behaviour theories to develop long-term adherence promoting interventions in TB and HIV
▪ Future research should focus on the further examination of existing theories.
▪ Further work is required to identify and explore health behaviour theories most applicable to improving adherence to long-term medications.
▪ Existing health behaviour models should be tested systematically.
▪ Interventions utilising health behaviour theories appropriately need to be developed and trialled.
▪ Reports of interventions to promote adherence to long-term medications for other health issues should be reviewed to explore how these have drawn on health behaviour theories.
Secondly, further work is required to identify theories of health behaviour that are most applicable to improving adherence to long-term medication. Existing health behaviour theories should be tested systematically to establish which best predict effects on different kinds of behaviour for different groups of people in different contexts. For example, does a particular theory predict changes in adherence behaviour for both men and women with TB in both England and South Africa? Some researchers have argued that experimental research and increased clarity in theories and methods could assist in the identification of effective behaviour change techniques, thereby contributing to the development of evidence-based practice in health psychology and implementation research [2, 3]. Similar efforts need to be made regarding the use of theories as applied to adherence behaviour.
Thirdly, the abundance of theories and their poor evidence base highlights the need to develop and trial interventions that utilise these theories appropriately (i.e. in concordance with the theory), with well defined and operationalised variables. This will help to advance the study of human adherence behaviour and allow for better informed decisions related to how to these theories could be more widely applied in practice. (See references  and  for guidance on developing theoretically informed interventions). We have compiled a number of examples [see additional file 1] of the application of such theories in practice.
Finally, reports of interventions to promote adherence to long-term medications for other health issues, such as diabetes, asthma and hypertension, should be reviewed to determine how many have drawn on theory in the design and testing of these interventions; the range of theories utilised and the ways in which this was done; and the ways in which the use of theory contributed to understanding the effects of these interventions. Many reviews of such interventions exist (for example, see [83, 84]) and these could act as a starting point for such work.
It is also important to list some of the limitations of this review. Firstly, we have been unable to capture all the available data on tests of health behaviour theories. Secondly, this paper examines only theories constructed by researchers and does not explore the health theories held by those receiving treatment. These lay theories of adherence with regard to antiretroviral  and TB treatment  are discussed elsewhere.
It should also be noted that any understanding of individual health behaviour, and interventions to change this, must be located within the relevant social, psychological, economic and physical environments . Much research on adherence to TB medication has indicated that poor adherence is commonly the result of factors outside the individual's control, including clinic and health care organisation factors (such as interruptions to drug supply and long distances to health facilities) and structural factors (such as poverty and migration) [13, 82, 83]. Similar issues have been reported for adherence to ART . Any focus on changing the behaviours of individuals with TB or HIV should not result in the neglect of these other dimensions or the further disadvantaging of the poor and vulnerable, thereby widening health disparities. Interventions that focus on providers, the provider-patient relationship, health system and contextual factors therefore also need to be developed and evaluated .
There is no simple solution to the problem of adherence, or to the area of behaviour change. Health behaviour theories may shed light on the processes underlying behaviour change. However, an explicit theoretical basis is not always necessary for a successful intervention and further examination is needed to determine whether theory-based interventions in health care are more effective than those without an explicit theoretical foundation [2, 70]. This review contributes to advancing this field by describing the commonly cited health behaviour theories, presenting the evidence and critique for each; discussing the applicability of these theories to adherence behaviour; and highlighting several recommendations for research and theory development. To understand and overcome the barriers to treatment adherence, considerable research is needed. However, given the importance of long-term medication adherence to global public health, particularly in relation to the HIV and TB epidemics, such research should receive much higher priority.
Human immunodeficiency virus/Acquired immunodeficiency syndrome
Theory of reasoned action
Protection motivation theory
Health belief model
Theory of planned behaviour
Information-motivation-behavioural skills model
The authors would like to acknowledge the Norwegian Health Services Research Centre, the GLOBINF Network, the London School of Hygiene and Tropical Medicine and the Effective Health Care Research Programme Consortium of the Liverpool School of Tropical Medicine for supporting Salla Munro during the preparation of this article. We would also like to thank Judy Dick and Sheldon Allen for their comments on drafts of this review; Sylvia Louw, Anna Gaze, and Joy Oliver for their administrative support; and Simon Goudie for his editing of the paper.
- Redding CA, Rossi JS, Rossi SR, Velicer WF, Prochaska JO: Health behaviour models. Int Electr J Health Educ. 2000, 3: 180-193. [http://www.oiiq.org/SanteCoeur/docs/redding_iejhe_vol3_nospecial_2000.pdf]Google Scholar
- Eccles M, Grimshaw J, Walker A, Johnston M, Pitts N: Changing the behavior of healthcare professionals: The use of theory in promoting the uptake of research findings. J Clin Epidemiol. 2005, 58: 107-112. 10.1016/j.jclinepi.2004.09.002.View ArticlePubMedGoogle Scholar
- Michie S, Abraham C: Interventions to change health behaviours: Evidence-based or evidence-inspired?. Psychol Health. 2004, 19: 29-49. 10.1080/0887044031000141199.View ArticleGoogle Scholar
- Haynes RB, McDonald H, Garg AX, Montague P: Interventions for helping patients to follow prescriptions for medications. Cochrane Database Syst Rev. 2002, CD000011-2
- Raviglione M, Snider D, Kochi A: Global epidemiology of tuberculosis: Morbidity and mortality of a worldwide epidemic. J Am Med Assoc. 1995, 273: 220-226. 10.1001/jama.273.3.220.View ArticleGoogle Scholar
- Sackett DL, Snow JC: The magnitude of adherence and non-adherence. Compliance in Health Care. Edited by: Haynes RB, Taylor DW, Sackett DL. 1979, Baltimore: Johns Hopkins University Press, 11-22.Google Scholar
- World Health Organisation: Adherence to long-term therapies: Evidence for action. Geneva. 2003Google Scholar
- Michie S, Johnston M, Abraham C, Lawton R, Parker D, Walker A: Making psychological theory useful for implementing evidence based practice: A consensus approach. Qual Saf Health Care. 2005, 14: 26-33. 10.1136/qshc.2004.011155.View ArticlePubMedPubMed CentralGoogle Scholar
- Leventhal H, Cameron L: Behavioural theories and the problem of compliance. Patient Educ Couns. 1987, 10: 117-138. 10.1016/0738-3991(87)90093-0.View ArticleGoogle Scholar
- Brawley LR, Culos-Reed SN: Studying adherence to therapeutic regimens: Overview, theories, recommendations. Control Clin Trials. 2000, 21: 156S-163S. 10.1016/S0197-2456(00)00073-8.View ArticlePubMedGoogle Scholar
- Ross E, Deverell A: Psychosocial approaches to health, illness and disability: A reader for health care professionals. 2004, Pretoria: Van SchaikGoogle Scholar
- Blackwell B: Compliance. Psychotherapy and psychosomatics. 1992, 58: 161-169.View ArticlePubMedGoogle Scholar
- Sumartojo E: When tuberculosis treatment fails: A social behavioural account of patient adherence. Am Rev Respir Dis. 1993, 147: 1311-1320.View ArticlePubMedGoogle Scholar
- Singh V, Jaiswal A, Porter JDH, Ogden JA, Sarin R, Sharma PP, Arora VK, Kain RC: TB control, poverty and vulnerability in Delhi, India. Trop Med Int Health. 2002, 7: 693-700. 10.1046/j.1365-3156.2002.00909.x.View ArticlePubMedGoogle Scholar
- Dunbar JM, Marshall GD, Hovell MF: Behavioural strategies for improving compliance. Compliance in health care. Edited by: Haynes RB, Taylor DW, Sackett DL. 1979, Baltimore: Johns Hopkins University Press, 174-190.Google Scholar
- Simoni JM, Pearson CR, Pantalone DW, Marks G, Crepaz N: Efficacy of interventions in improving highly active antiretroviral therapy adherence and HIV-1 RNA viral load: a meta-analytic review of randomized controlled trials. J Acquir Immune Defic Syndr. 43 (Suppl 1): S23-S35. 2006 Dec 1
- Mannheimer SB, Morse E, Matts JP, Andrews L, Child C, Schmetter B, Friedland GH: Sustained benefit from a long-term antiretroviral adherence intervention : results of a large randomized clinical trial. J Acquir Immune Defic Syndr. 43 (Suppl 1): S41-S47. 2006 Dec 1
- Lewin SA, Skea ZC, Entwistle V, Zwarenstein M, Dick J: Interventions for providers to promote a patient-centred approach in clinical consultations. Cochrane Database Syst Rev. 2001, 4: CD003267-PubMedGoogle Scholar
- Murray E, Burns J, See Tai S, Lai R, Nazareth I: Interactive Health Communication Applications for people with chronic disease. Cochrane Database Syst Rev. 2005, 4: CD004274-PubMedGoogle Scholar
- McKinstry B, Ashcroft RE, Car J, Freeman GK, Sheikh A: Interventions for improving patients' trust in doctors and groups of doctors. Cochrane Database Syst Rev. 2006, 3: CD004134-PubMedGoogle Scholar
- Griffin SJ, Kinmonth A, Veltman MWM, Gillard S, Grant J, Stewart M: Effect on Health-Related Outcomes of Interventions to Alter the Interaction Between Patients and Practitioners: A Systematic Review of Trials. Ann Fam Med. 2004, 2: 595-608. 10.1370/afm.142.View ArticlePubMedPubMed CentralGoogle Scholar
- Stroebe W: Social psychology and health. 2000, Buckingham: Open University Press, 2Google Scholar
- Gebhardt WA, Maes S: Integrating social-psychological frameworks for health behaviour research. Am J Health Beh. 2001, 25: 528-536.View ArticleGoogle Scholar
- Weinstein ND: The precaution adoption process. Health Psychol. 1988, 7: 355-386. 10.1037/0278-6126.96.36.1995.View ArticlePubMedGoogle Scholar
- Ingham R, Woodcock A, Stenner K: The limitations of rational decision-making models as applied to young people's sexual behaviour. AIDS: Rights, risk and reason. Edited by: Aggleton PP, Davies P, Hart G. 1992, London: Falmer Press, 163-173.Google Scholar
- Bloor M: A user's guide to contrasting theories of HIV related risk behaviour. In Medicine, health and risk: Sociological approaches (Sociology of Health and Illness Monograph Series). Edited by: Gabe J. 1995, London: Blackwell Publishers, 19-30.Google Scholar
- Becker MH, Maiman LA, Kirscht JP, Haefner DP, Drachman RH, Taylor DW: Patient perceptions and compliance: Recent studies of the Health Belief Model. Compliance in Health Care. Edited by: Haynes RB, Taylor DW, Sackett DL. 1979, Baltimore: Johns Hopkins University Press, 78-109.Google Scholar
- Armitage CJ, Conner M: Social cognition models and health behaviour: A structured review. Psychol Health. 2000, 15: 173-189.View ArticleGoogle Scholar
- Bandura A: Self-efficacy: The exercise of control. 1997, New York: W. H. Freeman and CompanyGoogle Scholar
- Rosenstock IM, Strecher VJ, Becker MH: Social learning theory and the health belief model. Health Educ Q. 1988, 15: 175-183.View ArticlePubMedGoogle Scholar
- Strecher V, Rosenstock I: The health belief model. Cambridge Handbook of psychology, health and medicine. Edited by: Baum A, Newman S, Weinman J, West R, McManus C. 1997, Cambridge: Cambridge University Press, 113-116.Google Scholar
- Stroebe W, de Wit J: Health impairing behaviours. Applied Social Psychology. Edited by: Semin GR, Fiedler K. 1996, London: Sage, 113-143.View ArticleGoogle Scholar
- Rosenstock IM: The health belief model: Explaining health behavior through expectancies. Health behaviour and health education. Edited by: Glanz K, Lewis FM, Rimer BK. 1990, San Francisco: Josey-Bass, 39-62.Google Scholar
- Janz NK, Becker MH: The health belief model: A decade later. Health Educ Q. 1984, 11: 1-47.View ArticlePubMedGoogle Scholar
- Harrison JA, Mullen PD, Green LW: A meta-analysis of studies of the health belief model with adults. Health Educ Res. 1992, 7: 107-116. 10.1093/her/7.1.107.View ArticlePubMedGoogle Scholar
- De Villiers S: Tuberculosis in anthropological perspective. South African Journal of Ethnology. 1991, 14: 69-72.Google Scholar
- Rogers RW: A protection motivation theory of fear appeals and attitude change. J Psychol. 1975, 91: 93-114.View ArticleGoogle Scholar
- Maddux JE, Rogers RW: Protection motivation and self-efficacy: A revised theory of fear appeals and attitude change. J Exp Soc Psychol. 1983, 19: 469-479. 10.1016/0022-1031(83)90023-9.View ArticleGoogle Scholar
- Floyd DL, Prentice-Dunn S, Rogers RW: A meta-analysis of research on protection motivation theory. J Appl Soc Psychol. 2000, 30: 407-429. 10.1111/j.1559-1816.2000.tb02323.x.View ArticleGoogle Scholar
- Bandura A: Health promotion from the perspective of social cognitive theory. Understanding and changing health behaviour: From health beliefs to self-regulation. Edited by: Norman P, Abraham C, Conner M. 2000, Amsterdam: Harwood Academic Publishers, 299-339.Google Scholar
- Bandura A: Health promotion by social cognitive means. Health Educ Behav. 2004, 31: 143-164. 10.1177/1090198104263660.View ArticlePubMedGoogle Scholar
- Keller C, Fleury J, Gregor-Holt N, Thompson T: Predictive ability of social cognitive theory in exercise research: An integrated literature review. J Knowl Synth Nurs. 1999, 6: [http://www.des.emory.edu/mfp/KellerEtAl1999.pdf]Google Scholar
- Stone D: Social Cognitive Theory. 1999, Accessed 14th March 2006, [http://hsc.usf.edu/~kmbrown/Social_Cognitive_Theory_Overview.htm]Google Scholar
- Fishbein M, Ajzen I: Belief, attitude intention and behaviour: An introduction to theory and research. 1975, Menlo Park: Addison-WesleyGoogle Scholar
- Sutton S: Theory of planned behaviour. Cambridge handbook of psychology, health and medicine. Edited by: Baum A, Newman S, Weinman J, West R, McManus C. 1997, Cambridge: Cambridge University Press, 177-179.Google Scholar
- St Claire L: Rival Truths: Common sense and social psychological explanations in health and illness. 2003, Hove: Psychology PressView ArticleGoogle Scholar
- Hardeman W, Johnston M, Johnston DW, Bonetti D, Wareman NJ, Kinmonth AL: Application of the theory of planned behaviours in behaviour change interventions: A systematic review. Psychol Health. 2002, 17: 123-158. 10.1080/08870440290013644.View ArticleGoogle Scholar
- Godin G, Kok G: The theory of planned behavior: A review of its applications to health-related behaviours. Am J Health Promot. 1996, 11: 87-98.View ArticlePubMedGoogle Scholar
- Armitage CJ, Conner M: Efficacy of the theory of planned behaviour: A meta-analytic review. Br J Soc Psychol. 2001, 40: 471-499. 10.1348/014466601164939.View ArticlePubMedGoogle Scholar
- Mullen PD, Hersey JC, Iverson DC: Health behavior models compared. Soc Sci Med. 1987, 24: 973-981. 10.1016/0277-9536(87)90291-7.View ArticlePubMedGoogle Scholar
- Fisher JD, Fisher WA: Changing AIDS-risk behaviour. Psychol Bull. 1992, 11: 455-474. 10.1037/0033-2909.111.3.455.View ArticleGoogle Scholar
- Fisher JD, Fisher WA, Amico KR, Harman JJ: An information-motivation-behavioral skills model of adherence to antiretroviral therapy. Health Psychol. 2006, 25: 462-73. 10.1037/0278-6188.8.131.522.View ArticlePubMedGoogle Scholar
- Amico KR, Toro-Alfonso J, Fisher JD: An empirical test of the information, motivation and behavioral skills model of antiretroviral therapy adherence. AIDS Care. 2005, 17: 661-73. 10.1080/09540120500038058.View ArticlePubMedGoogle Scholar
- Leventhal H, Leventhal EA, Schaefer PM: Vigilant coping and health behaviour. Aging health and behaviour. Edited by: Ory MG, Abeles RD, Lipman PD. 1992, Newbury Park: Sage, 109-140.Google Scholar
- Edgar KA, Skinner TC: Illness representations and coping as predictors of emotional wellbeing in adolescents with Type I diabetes. J Pediatr Psychol. 2003, 28: 485-493. 10.1093/jpepsy/jsg039.View ArticlePubMedGoogle Scholar
- Benyamini Y, Gozlan M, Kokia E: On self-regulation of a health threat: Cognitions, coping and emotions among women undergoing treatment for fertility. Cognit Ther Res. 2004, 28: 577-592. 10.1023/B:COTR.0000045566.97966.22.View ArticleGoogle Scholar
- Leventhal H, Meyer D, Nerenz D: The common sense representation of illness danger. Contributions to medical psychology. Edited by: Rachman S. 1980, Oxford: Pergamon Press, 2: 7-30.Google Scholar
- Sutton S: A critical review of the transtheoretical model applied to smoking cessation. Understanding and changing health behaviour: From health beliefs to self-regulation. Edited by: Norman P, Abraham C, Conner M. 2000, Amsterdam: Harwood Academic Publishers, 207-225.Google Scholar
- Prochaska JO, DiClemente CC: Stages and processes of self-change of smoking: Toward an integrative model of change. Journal of Consult Clin Psychol. 1983, 51: 390-395. 10.1037/0022-006X.51.3.390.View ArticleGoogle Scholar
- Prochaska JO, DiClemente CC, Norcross JC: In search of how people change: Applications to addictive behaviours. Am Psychol. 1992, 47: 1102-1114. 10.1037/0003-066X.47.9.1102.View ArticlePubMedGoogle Scholar
- Prochaska JO: Strong and weak principles for progressing from precontemplation to action on the basis of twelve problem behaviours. Health Psychol. 1994, 13: 47-51. 10.1037/0278-6184.108.40.206.View ArticlePubMedGoogle Scholar
- Prochaska JO, Velicer WF, DiClemente CC, Fava J: Measuring processes of change: Applications to the cessation of smoking. Journal of Consult Clin Psychol. 1988, 56: 520-528. 10.1037/0022-006X.56.4.520.View ArticleGoogle Scholar
- Sutton S: Transtheoretical model of behaviour change. Cambridge handbook of psychology, health and medicine. Edited by: Baum A, Newman S, Weinman J, West R, McManus C. 1997, Cambridge: Cambridge University Press, 180-182.Google Scholar
- Riemsma RP, Pattenden J, Bridle C, Sowden AJ, Mather L, Watt IS, Walker A: Systematic review of the effectiveness of stage based interventions to promote smoking cessation. Br Med J. 2003, 326: 1175-1177. 10.1136/bmj.326.7400.1175.View ArticleGoogle Scholar
- Marshall SJ, Biddle SJH: The transtheoretical model of behaviour change: A meta-analysis of applications to physical activity and exercise. Ann Behav Med. 2001, 23: 229-246. 10.1207/S15324796ABM2304_2.View ArticlePubMedGoogle Scholar
- Weinstein ND: Testing four competing theories of health-protective behaviour. Health Psychol. 1993, 12: 324-333. 10.1037/0278-6220.127.116.114.View ArticlePubMedGoogle Scholar
- Ashing-Giwa K: Health behaviour change models and their socio-cultural relevance for breast cancer screening in African American women. Women Health. 1999, 28: 53-71. 10.1300/J013v28n04_04.View ArticlePubMedGoogle Scholar
- Singh JA, Upshur R, Padayatchi N: XDR-TB in South Africa : No time for denial or complacency. PLOS Medicine. 2007, 4: 19-25. 10.1371/journal.pmed.0040050.View ArticleGoogle Scholar
- Kok G, Schaalma H, Ruiter RAC, Van Empelen P: Intervention mapping: A protocol for applying health psychology theory to prevention programmes. J Health Psychol. 2004, 9: 85-98. 10.1177/1359105304038379.View ArticlePubMedGoogle Scholar
- Oxman AD, Fretheim A, Flottorp S: The OFF theory of research utilization. J Clin Epidemiol. 2005, 58: 113-116. 10.1016/j.jclinepi.2004.10.002.View ArticlePubMedGoogle Scholar
- The Improved Clinical Effectiveness through Behavioural Research Group (ICEBeRG): Designing theoretically-informed implementation interventions. Implementation Science. 2006, 1: 4-10.1186/1748-5908-1-4.View ArticleGoogle Scholar
- Amico KR, Harman JJ, Johnson BT: Efficacy of antiretroviral therapy adherence interventions: A research synthesis of trials, 1996 to 2004. J Acquir Immune Defic Syndr. 2006, 41: 285-297. 10.1097/01.qai.0000197870.99196.ea.View ArticlePubMedGoogle Scholar
- Abraham C, Norman P, Conner M: Towards a psychology of health-related behaviour change. Understanding and changing health behaviour: From health beliefs to self-regulation. Edited by: Norman P, Abraham C, Conner M. 2000, Amsterdam: Harwood Academic Publishers, 343-369.Google Scholar
- Weinstein ND, Rothman AJ: Commentary: Revitalizing research on health behaviour theories. Health Educ Res. 2005, 20: 294-297. 10.1093/her/cyg125.View ArticlePubMedGoogle Scholar
- Munro S, Lewin S, Smith H, Engel M, Fretheim A, Volmink J: Patient adherence to tuberculosis treatment : a systematic review of qualitative research. PLoS Medicine (submitted, provisionally accepted, pending final decision).
- Simoni JM, Frick PA, Pantalone DW, Turner BJ: Antiretroviral adherence interventions : A review of current literature and ongoing studies. Top HIV Med. 2003, 11: 185-198.PubMedGoogle Scholar
- Volmink J, Garner P: Directly observed therapy for treating tuberculosis. The Cochrane Database of Systematic Reviews. 2006, 2
- Davies P, Walker A, Grimshaw J: Theories of behaviour change in studies of guideline implementation. Proceedings of the British Psychological Society. 2003, 11: 120-Google Scholar
- Schedlbauer A, Schroeder K, Peters TJ, Fahey T: Interventions to improve adherence to lipid lowering medication. The Cochrane Database of Systematic Reviews. 2004, 4
- Vermeire E, Wens J, Van Royen P, Biot Y, Hearnshaw H, Lindenmeyer A: Interventions for improving adherence to treatment recommendations in people with type 2 diabetes mellitus. The Cochrane Database of Systematic Reviews. 2005, 2
- Mills EJ, Nachega JB, Bangsberg DR, Singh S, Rachlis B, Wu P, Wilson K, Buchan I, Gill CI, Cooper C: Adherence to HAART : a systematic review of developed and developing nation patient-reported barriers and facilitators. PLoS Med. 2006, 3 (11): e438-10.1371/journal.pmed.0030438.View ArticlePubMedPubMed CentralGoogle Scholar
- Farmer P: Social scientists and the new tuberculosis. Soc Sci Med. 1997, 44: 347-358. 10.1016/S0277-9536(96)00143-8.View ArticlePubMedGoogle Scholar
- Lewin S, Dick J, Zwarenstein M, Lombard CJ: Staff training and ambulatory tuberculosis treatment outcomes: A cluster randomized controlled trial in South Africa. Bull World Health Organ. 2005, 83: 250-259.PubMedPubMed CentralGoogle Scholar
- Mukherjee JS, Ivers L, Leandre F, Farmer P, Behforouz H: Antiretroviral therapy in resource-poor settings : decreasing barriers to access and promoting adherence. J Acquir Immune Defic Syndr. 43 (Suppl 1): S123-S126. 2006 Dec 1
- Lim WS, Low HN, Chan SP, Chen HN, Ding YY, Tan TL: Impact of a pharmacist consult clinic on a hospital based geriatric outpatient clinic in Singapore. Ann Acad Med. 2004, 33: 220-227.Google Scholar
- Schaffer SD, Tian L: Promoting adherence: Effects of theory-based asthma education. Clin Nurs Res. 2004, 13: 69-89. 10.1177/1054773803259300.View ArticlePubMedGoogle Scholar
- Tuldra A, Fumaz CR, Ferrer MJ, Bayes R, Arno A, Balague M, Bonjoch A, Jou A, Negredo E, Paredes Ruiz L, Romeu J, Sirera G, Tural C, Burger D, Clotet B: Prospective randomised two-arm controlled study to determine the efficacy of a specific intervention to improve long-term adherence to highly active antiretroviral therapy. J Acquir Immune Defic Syndr. 2000, 25: 221-228. 10.1097/00042560-200011010-00003.View ArticlePubMedGoogle Scholar
- Armitage CJ, Conner M: Reducing fat intake: Interventions based on the theory of planned behaviour. Changing health behaviour. Edited by: Rutter D, Quine L. 2002, Buckingham: Open University Press, 87-104.Google Scholar
- Theunissen NCM, de Ridder DTD, Bensing JM, Rutten GEHM: Manipulation of patient-provider interaction: discussing illness representations or action plans concerning adherence. Patient Educ Couns. 2003, 51: 247-258. 10.1016/S0738-3991(02)00224-0.View ArticlePubMedGoogle Scholar
- Aveyard P, Cheng KK, Almond J, Sherratt E, Lancashire R, Lawrence T, Griffin C, Evans O: Cluster randomised controlled trial of expert system based on the transtheoretical ("stages of change") model for smoking prevention and cessation in schools. BMJ. 1999, 319 (7215): 948-53.View ArticlePubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/7/104/prepub