Supporting adjuvant endocrine therapy adherence in women with breast cancer: the development of a complex behavioural intervention using Intervention Mapping guided by the Multiphase Optimisation Strategy

doi:10.21203/rs.3.rs-1239166/v1

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Research Article

Supporting adjuvant endocrine therapy adherence in women with breast cancer: the development of a complex behavioural intervention using Intervention Mapping guided by the Multiphase Optimisation Strategy

https://doi.org/10.21203/rs.3.rs-1239166/v1

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Background

Adjuvant endocrine therapy (AET) reduces the risk of breast cancer recurrence and mortality. However, up to three-quarters of women with breast cancer do not take AET as prescribed. Existing interventions to support adherence to AET have largely been unsuccessful, and have not focused on the most salient barriers to adherence. This paper describes the process of developing four theory-based intervention components to support adherence to AET. Our aim is to provide an exemplar of intervention development using Intervention Mapping (IM) with guidance from the Multiphase Optimisation Strategy (MOST).

Methods

Iterative development followed the six-stage IM framework with stakeholder involvement. Stage 1 involved a literature review of barriers to adherence and existing interventions, which informed the intervention objectives outlined in Stage 2. Stage 3 identified relevant theoretical considerations and practical strategies for supporting adherence. Stage 4 used information from Stages 1-3 to develop the intervention components. Stages 5 and 6 detailed implementation considerations and evaluation plans for the intervention package, respectively.

Results

The final intervention package comprised four individual intervention components: Short Message Service to encourage habitual behaviours surrounding medication taking; an information leaflet to target unhelpful beliefs about AET; remotely delivered Acceptance and Commitment Therapy-based guided self-help to reduce psychological distress; and a website to support self-management of AET side-effects. Considerations for implementation within the NHS, including cost, timing and mode of delivery were outlined, with explanation as to how using MOST can aid this. We detail our plans for the final stage of IM which involve feasibility testing. This involved planning an external exploratory pilot trial using a 2⁴⁻¹ fractional factorial design, and a process evaluation to assess acceptability and fidelity of intervention components and overall trial experience.

Conclusions

We have described a systematic and logical approach for developing a theoretically informed intervention package to support medication adherence in women with breast cancer using AET. Further research to optimise the intervention package, guided by MOST, has the potential to lead to more effective, efficient and scalable interventions.

breast cancer

medication adherence

intervention mapping

multiphase optimisation strategy

Breast cancer is the most common cause of cancer death in women (1). Around 75% of breast cancers are oestrogen receptor-positive (ER+)(2). Adjuvant endocrine therapy (AET), including tamoxifen and aromatase inhibitors (AIs; anastrozole, letrozole, exemestane) are prescribed to women with ER+ breast cancer to reduce the risk of cancer recurrence and mortality (3, 4). AET is prescribed for 5-10 years (5), with 7-8 years potentially the optimal duration (6–9). However, up to three-quarters of patients do not take AET as prescribed (10–13). Non-adherence and non-persistence (not continuing to take the medication for the prescribed duration) are linked to an increased risk of recurrence, lower survival and reduced quality-adjusted life years (14–16). Improving adherence to AET could reduce healthcare costs associated with cancer recurrence (15).

Modifiable barriers to AET adherence have been identified (17–20). Most existing interventions do not target multiple factors associated with adherence, and predominantly consist of solely educational interventions, such as leaflets (21–23). Such interventions have either been ineffective or yield small effect sizes (21–23). This is characteristic of interventions aiming to support adherence across a wide range of chronic conditions, highlighting the need for improved interventions to support adherence more generally (24). Considerations of theory in interventions aiming to support AET adherence are often lacking, with little transparency of the intervention development process. The UK Medical Research Council Framework (MRC) for developing and evaluating complex interventions, and INDEX guidance (Identifying and assessing different approaches to developing complex interventions) suggest interventions should consider theory in a systematic manner to aid replication and implementation (25–27). Intervention mapping (IM) is a systematic approach used to develop theory and evidence-based health interventions. It consists of six stages that cover designing, implementing and evaluating an intervention (28).

The AET adherence trials published to date are mostly evaluated using parallel groups randomised controlled trials (RCTs). RCTs can definitively evaluate whether an intervention package as a whole has a statistically significant effect compared with a comparator. However, RCTs alone are unable to explain which components of a complex intervention affect the outcome, whether there are interactions between intervention components, and whether the benefits of an intervention component are justified based on resource demands. The Multiphase Optimisation Strategy (MOST) addresses these limitations (29) by optimising interventions based on the performance of individual intervention components relative to resource constraints. MOST consists of three phases: (1) preparation, in which intervention components are developed; (2) optimisation, in which efficient experimental designs, which estimate main effects and interactions between intervention components, are used to build an optimal intervention package; and (3) evaluation, in which the optimised intervention package is evaluated, typically using a parallel groups RCT.

There are important factors to consider when developing interventions within the MOST framework. These include ensuring each intervention component targets a specific mediating variable, that there is minimal overlap between the content of the intervention components, and that thought is given to the challenges of delivering all intervention components within a single package (30). Combining the IM and MOST frameworks enables these considerations of MOST to be acknowledged systematically throughout every stage of development within IM. This paper describes the development of an intervention package to support AET adherence in women with early-stage breast cancer, aiming to provide an exemplar of how to incorporate IM into the MOST framework.

We progressed through six stages of IM in line with published guidance (Table 1) (28). We followed the Guidance for reporting intervention development studies in health research (GUIDED) (31).

[Table 1]

Stage 1: Needs assessment

The needs assessment involved three sub-stages: (1) a literature review to understand the extent of non-adherence in women prescribed AET; (2) a literature review to understand the barriers to AET adherence, predominantly focusing on existing reviews identified through backward citation searching (11, 18, 20, 32–40); and (3) a rapid review and search of trial registries to identify published interventions and ongoing trials addressing AET adherence. The terms “hormone therapy” “breast cancer”, “adherence”, “intervention” and their variations were used. One author (SG) screened the texts and extracted data. The needs assessment informed the primary aims of the intervention package.

Stage 2: Intervention Objectives

Modifiable determinants of AET adherence to be targeted in the intervention package were selected based on the results of stage 1. For each determinant chosen, specific objectives for an intervention component to target were defined. Stage 2 considered how IM could be incorporated into MOST. An important aspect of the preparation phase of MOST is the conceptual model (30), similar to the logic model produced in IM. A conceptual model details how each intervention component is expected to change the outcome. It is recommended that each intervention component targets one specific mediating variable to aid decision making within the optimisation phase (41). The intervention components should be reasonably independent to ensure one component does not depend on the presence of another. This means that participants’ experiences of a component should not be affected by which of the other components they may receive (30). Conceptual model development was iterative; draft illustrations of the model were created, discussed within the research team, and with Patient and Public Involvement (PPI) members.

Stage 3: Intervention design

For each determinant of AET adherence that we identified and selected in stages 1 and 2, existing interventions and associated literature were explored to identify suitable theories, evidence-based behaviour change methods and practical strategies that could address them. The research team, in collaboration with PPI members, used this evidence to discuss which strategies were most likely to be effective and implementable within the UK healthcare system.

Stage 4: Intervention Development

Four intervention components were developed; two new components and two adapted from existing interventions. Clinician, researcher and patient views were considered throughout. To aid future replication, the intervention components were coded onto the Behaviour Change Techniques taxonomy (BCTTv1) by one author (SG) who had completed BCTTv1 training (42). Component coding was discussed between members of the research team (SG, SS, CG, LH). Disagreements were discussed and resolved. A Flesch-Kincaid reading age and grade level was calculated for each component (43).

Stage 5: Implementation planning

Implementation factors such as cost, time and delivery method were considered. A criterion by which the intervention will be optimised was specified, as recommended by the MOST framework. The optimisation criterion operationalises the primary outcome, and key considerations that the optimised intervention should fit within, such as effectiveness, cost and time (44).

Stage 6: Evaluation plan

We planned how the intervention components will be optimised and evaluated. The research team, in collaboration with PPI members and stakeholders selected the outcome measures to be used for assessment, the evaluation design, and the process evaluation research questions. A protocol for a pilot trial to assess the feasibility of an optimisation trial was prepared. We specified expected interactions between intervention components, based on theoretical assumptions identified in Stage 3. The a priori specification of hypothesised interactions is important, as components forming the interactions will be prioritised when deciding the optimised intervention package (45).

Patient and Public Involvement (PPI)

Our PPI panel of five members met remotely with two researchers (SG, ER) every 2-3 months throughout the development phase. The panel comprised five women with a diagnosis of breast cancer and experience of taking AET, recruited by advertising through a charity supporting people affected by cancer. Members were compensated for their time.

Stage 1: Needs assessment (findings from literature reviews)

Extent of nonadherence

Adherence to AET is suboptimal, with up to 73% not taking it as prescribed (11, 36). A large number of women discontinue AET within the first year (46). Adherence diminishes over time, with up to 50% of women being non-adherent within five years (10, 13). Unintentional nonadherence (e.g. forgetting to take medication) may be more prevalent than intentional nonadherence (e.g. deciding to miss a tablet) (47-49).

Factors associated with adherence and nonadherence

Barriers to and facilitators of AET adherence were identified (Table 2).

Side-effects

The frequency, severity and inability to manage side-effects are common barriers to AET adherence and persistence (11, 18, 20, 34, 37-40, 57). However, some reviews have questioned this relationship, citing inconsistent evidence (32, 37). Qualitative studies highlight reasons for non-adherence including the impact of side-effects on quality of life (58), side-effects outweighing the benefits (53, 58), a lack of understandable information about the range and intensity of side-effects (53, 56), and women feeling unsupported in managing side-effects (50, 53, 58). There is a clear demand for information about side-effects and their management (59).

Medication beliefs and illness perceptions

Necessity beliefs and concerns about AET, and the cost-benefit balance between these are associated with reduced adherence (11, 18-20, 32, 34-36, 38, 40). For example, adherent women tend to report strong necessity beliefs, such as “Tamoxifen is keeping me alive”, AET helps them to feel in control, and that AET will enable them to stay alive for their family (56, 58). In contrast, less adherent women report more concerns, such as AET benefits not being worth the reduced quality of life, and worry about the chance of cancer elsewhere (58). Representations of breast cancer, such as believing the likelihood of recurrence is low, are also associated with lower adherence (51, 52).

Knowledge of medication

Lower knowledge about AET is associated with reduced adherence (34). Women consistently report receiving insufficient information about AET (50, 58). Approximately one fifth of breast cancer survivors in a Dutch survey did not know how AET worked, but wanted further information, and a third did not know how large the risk reduction effect was (48).

Psychological distress

Immediatley following active treatment, approximately half of women with breast cancer report higher levels of psychological distress than observed in the general population (20, 60, 61). Psychological distress in breast cancer can include rumination and worry about breast cancer recurrence, difficulties in returning to ‘normal’, and distress from AET side effects (53, 58, 59). Higher levels of distress are associated with lower adherence (20, 55), although some inconsistencies with this relationship have been observed (37, 62).

Forgetfulness

Women with breast cancer commonly report memory problems following chemotherapy, which can increase forgetfulness and consequently unintentional nonadherence (18, 32, 36, 56, 63-65).

Social support

Women often feel abandoned when ending active treatment and being discharged from care (66). Higher social support from family, friends and other breast cancer survivors are associated with improved adherence and persistence (11, 32, 34, 35, 37, 38, 52, 67).

Self-efficacy

Self-efficacy is associated with higher adherence (32, 34, 38). This includes self-efficacy in the patient-physician interaction (confidence in the ability to get medical information from a physician (34, 38, 68)), and perceived self-efficacy in relation to learning about and taking AET (32, 34, 38).

Patient-physician communication

Patient-reported positive relationships with physicians are associated with higher adherence (20, 32, 35, 37, 38), specifically, the quality and person-centeredness of the relationship, frequency of communication, and sufficiency of information received about AET (38).

Existing interventions supporting adherence

We identified 16 published trials evaluating interventions targeting adherence to AET (Table 3) and 15 ongoing trials (Table 4). There was little high-quality evidence that these interventions were effective. Of the 16 published interventions, six reported statistically significant improvement in adherence. Two of those with significant findings were pilot trials and therefore were not designed to examine efficacy, two found significant findings in post-hoc analyses, and for one, a significant effect was not maintained at follow up. Six published trials composed only of educational materials which were not effective in supporting adherence (69-74).

Digital health interventions appeared to be increasingly prevalent. Four existing interventions (75-78), and three registered trials involved text messaging either solely or as part of a multi-component intervention. Two published interventions (75, 78) and five registered trials included an app or website. One registered trial is using videoconferencing. Of the four published digital interventions, three assessed and reported acceptability to patients (75, 77, 78). The theoretical basis and development process were inadequately described for most published interventions.

[Table 3 and 4]

Intervention Goals

The needs assessment established the overall goal of the programme; to improve AET adherence in women with early-stage breast cancer, using a multi-component intervention. All barriers to AET adherence identified in Stage 1 were considered in Stage 2.

Stage 2: Intervention Objectives

Based on findings from Stage 1, and following discussion within the research team and agreement from patient representatives, four main intervention targets were selected; living with side effects, medication and illness beliefs, forgetfulness and psychological distress. These cover a range of intentional and unintentional barriers to adherence. Table 5 summarises identified determinants and the specific intervention component objectives.

Illness perceptions and knowledge can affect medication beliefs through providing an understanding of how the medication works, which can enhance beliefs about its necessity (86, 87). We therefore targeted knowledge in combination with medication beliefs. Three determinants were not chosen as mediating variables within the conceptual model: social support; self-efficacy; and patient-physician communication. These factors are likely to be addressed by the intervention components already chosen. For example, support from a psychological therapist as part of one of the proposed components has the potential to reduce feelings of abandonment, thus targeting one aspect of social support.

The selection of determinants based on the needs assessment, informed the conceptual model. A conceptual model, as recommended by the MRC framework, can provide a visual representation of the theoretical basis of the intervention and can improve generalisability and replicability of the intervention (26). The development of a conceptual model is a key part of the preparation phase of MOST, in which separate intervention component targets are specified (30). Stages 1 and 2 of IM informed the intervention target, pathway and outcome aspects of the model (Figure 1). Stages 3 and 4 of IM provide detail on the individual intervention components. For two determinants (forgetfulness and psychological distress), there are additional stages in the conceptual model to demonstrate the pathway to adherence, described in detail in Stage 3.

Figure 1. Conceptual Model

Stage 3: Intervention design

Within factorial designs commonly used within the MOST framework, each component must be distinct, with minimal duplication of content across components (30, 41). This was considered in Stages 3 and 4. Taking the four main intervention component targets in Stage 2 (memory, illness and medication beliefs, psychological distress, side-effects), Stage 3 focused on identifying theory-based change methods and practical strategies to target these mediators.

Forgetfulness

If medication taking becomes habitual and less reliant on memory, unintentional nonadherence may reduce (88-92). Habit theory stipulates there are multiple phases in forming a habit; deciding to act, acting on that decision, and doing so repeatedly in a manner conducive to development of behaviour cue associations (89, 92, 93). Table 5 details behaviour change techniques (BCTs) related to habit formation that were feasible to target (92, 94-96).

Mobile messaging interventions are increasingly used to promote adherence to medications, and could be cost-effective for promoting habit formation (97-99). Meta-analyses and systematic reviews have highlighted the significant positive effects SMS interventions could have upon medication adherence in long-term conditions, although none included women with breast cancer (97, 100). Individual studies of SMS interventions to promote adherence by women with breast cancer have shown mixed results (76-78). These interventions did not target habit formation specifically, and often repeated the same messages, which could cause response fatigue (97, 98, 101).

Medication and illness beliefs

Information provision can support the formation of medication beliefs (102, 103). The Necessity-Concerns framework suggests patients weigh up the benefits and costs when considering a medication (104). An extended version of the commonsense model of illness representations (CSM) highlights that cognitive and emotional illness representations, in addition to medication beliefs, influence adherence (105). Illness representations have been correlated with necessity and concern beliefs in women with AET (54), suggesting they could be targeted together. Providing positively framed and accurate written information about the benefits and risks of AET could increase necessity beliefs and reduce unhelpful concerns and illness representations (86, 87, 103, 106-108).

Psychological distress

Within a range of long-term conditions including cancer, Acceptance and Commitment Therapy (ACT) can reduce psychological distress (109, 110) and improve functioning and quality of life (109-115). ACT is a newer type of cognitive behavioural therapy, that aims to help people engage in activity they find enriching and meaningful, even in objectively difficult situations (for example being diagnosed with cancer), by engendering a quality called psychological flexibility (116). Psychological flexibility involves individuals approaching experiences with openness and awareness to engage more fully with their own overarching goals and values (116). Psychological inflexibility is associated with psychological distress in breast cancer survivors (117).

Preliminary studies show psychological flexibility is positively correlated with treatment uptake and adherence in long term conditions, and that ACT could be helpful for improving medication adherence (109, 118-121). ACT could improve overall wellbeing and reduce psychological distress by enabling individuals to function effectively alongside common emotional experiences that occur in this population (66).

Living with side-effects

Many side-effects women experience while taking AET can be managed without speaking to a healthcare professional (122). Many women taking AET already self-manage their symptoms, and most want more support to do this (123). In previous co-development work, patient representatives and healthcare professionals suggested that a website would allow patients to access side-effect management resources when required (66). Demand for an online resource detailing evidence-based solutions to manage side-effects has also been reported elsewhere (124).

As a result of Stage 3, the practical strategies to target each determinant were confirmed, to be developed in Stage 4.

Stage 4: Intervention Development

Four intervention components were developed using distinct formats: SMS messages, an information leaflet, ACT sessions, and a side-effect management website (Additional file 1). The same considerations with regard to MOST were applied here as in Stage 3 in attempting to develop standalone components distinct from one another (30). As a result, the four intervention components largely targeted a range of separate BCTs, with some minimal overlap (Figure 2, Table 5). Readability of the components ranged between 11 and 14 years old (Table 6). The 12-item ‘Template for Intervention Description and Replication’ (TIDieR) checklist describes the intervention components (125) (Additional file 2).

[Table 5]

Figure 2. Behaviour change techniques present in intervention components

SMS Development

SMS messages were co-developed using an established method for producing acceptable messages with high fidelity to the intended BCT (126). This method has previously produced SMS messages that maintained acceptability and fidelity to intended BCTs when sent within a feasibility trial (127), and were successful in changing hypothesised mediating variables (128). For our intervention component, behaviour change experts created messages based on BCTs during a one-day workshop, and rated the BCTs on relevance to adherence and the fidelity of individual messages to the BCT they intended to target. These messages were revised following a focus group with PPI members, and rated on acceptability by breast cancer survivors. An additional group of behaviour change experts rated message fidelity to the BCT.

The SMS intervention component will begin with two weeks of daily messages, as habit formation occurs most rapidly within the first two weeks (93, 129). The messages will reduce to twice weekly for 8 weeks to ensure they do not become intrusive. One of the main reasons for nonadherence in an SMS trial was cited as forgetting at weekends due to a change of routine (77, 130). Messages sent twice weekly can support medication taking in the change of routine at weekends. The SMS messages will then reduce to weekly reminders for 6 weeks, as medication taking should become sufficiently habitual to persist despite a reduction in support. Frequent messages over a long period could lead to response fatigue; weekly messages are less susceptible to this effect (97, 98, 101). It is important to reduce the frequency so that habit formation is not dependent on reminders, but is due to creating cues for medication taking (94). To target all phases of habit formation concurrently, a combination of BCTs will be targeted throughout (92).

Information Leaflet Development

The development of the information leaflet was an iterative process. It contains five elements (Table 5). PPI members were involved throughout, including planning the content, critiquing drafts, and confirming the content of the final version. Content was informed by information from reputable sources (e.g. NHS website, MacMillan and Cancer research UK). A professional design company was commissioned to create the leaflet. Design decisions, including font size, colour contrasts and layout were informed by the Medicines and Healthcare products Regulatory Agency (MHRA) best practice for information design (131). The leaflet underwent further refinement via patient feedback within PPI meetings, and clinical input from a consultant pharmacist.

Acceptance and Commitment Therapy (ACT) Development

The ACT component was developed from an existing guided self-help intervention for improving quality of life and distress in people with muscle disorders (132). The programme, which includes common ACT techniques (133), was adapted to be relevant to women with breast cancer taking AET. It was adapted by two clinical psychologists (CG and JC) with experience in ACT and breast cancer, in collaboration with members of the research team (SS and SG). PPI members provided feedback at the planning and drafting stages. The adaptation involved rewording the participant module booklets to be relevant for women taking AET, and providing additional exercises to foster self-compassion.

The resulting intervention component involves guided self-help, consisting of four distinct modules (Table 5). Module content is presented in four participant handbooks supplemented by audio files and home practice tasks, which are conceptualised to participants as enabling them to develop four specific skills related to psychological flexibility (Table 5). The four modules are supported by five individual sessions with a practitioner psychologist ranging from 15-25 minutes. The sessions provide a space to discuss the module content, to reflect on experience of practising the skills in everyday life, and to consider their helpfulness.

Website Development

The side-effect management website was developed as part of an existing intervention for women taking AET (66). The content of the website was informed by an umbrella review of self-management strategies for side-effects in AET (122) and suggestions from breast cancer survivors. Suggestions included the use of patient narratives (66), which have been shown to improve engagement (134, 135). To adapt the intervention, design elements were changed, and some sections were removed to ensure this was a standalone component only targeting side-effects (30).

Stage 5: Implementation planning

The optimisation criterion was based on health economic modelling (15). An intervention that is effective at showing an absolute improvement of 10% in adherence would be considered cost effective if it could be delivered for less than £3997 per patient. The optimisation criterion will be considered in the optimisation phase to ensure the intervention package developed is likely to be within cost-effectiveness thresholds.

Discussions with stakeholders highlighted the following considerations for potential implementation and maintenance of the intervention components. The SMS, information leaflet, and website components all represent relatively low-cost components with relatively modest maintenance needs. Therapist hours, cost and mode of delivery were considered in detail for the ACT component. There was a large amount of stakeholder engagement throughout the ACT adaptation process, involving patient representatives, clinical psychologists and service managers to consider feasibility of implementation within the NHS (66). A guided self-help intervention was chosen by the research team in collaboration with patient representatives, as it required a lower number of therapist hours to deliver. This follows a similar approach to the Improving Access to Psychological Therapies (IAPT) model, which uses brief guided self-help interventions and has been widely implemented in the NHS (136). Remote delivery was chosen as it can benefit patients through eliminating the need to travel to sessions. Remote delivery also reduces the need to identify clinic rooms which can be a constraint in NHS psychological services. The option of telephone or videoconferencing was chosen to reduce exclusion of those without access to videoconferencing software or a private space. Guidance for how to use videoconferencing platforms will be given.

Stage 6: Evaluation plan

Specification of plans for evaluation design

We prepared a protocol for an external exploratory pilot trial using a 2^4-1fractional factorial design to determine the acceptability of the intervention components, and the feasibility of evaluating them in a larger optimisation trial (41, 137). Our evaluation plans specified an optimisation trial using a 2⁴ factorial design, if the criteria for progression from pilot to optimisation trial are met.

Process evaluation questions

Our evaluation plans specified we will conduct a nested process evaluation using a mixed methods approach to evaluate the acceptability of the intervention components and experimental design, assess the fidelity of the intervention components (138), and to assess trial experience and recruitment barriers. These aims will address uncertainties regarding the feasibility of delivering a complex experimental design in a clinical setting largely familiar with more classical methods for intervention evaluation.

Development of indicators and measures for assessment

Outcome measures were chosen through discussion within the research team, and consensus from the Trial Management Group and Trial Steering Committee (Figure 3). To allow for analyses of mechanisms of action, assessment measures were included for all hypothesised mediators identified.

Figure 3. Summary of Assessment Measures

Completion of the evaluation plan

The external exploratory pilot trial (ISRCTN: 10487576) is ongoing.

Expected interactions between intervention components

Hypothesised synergistic interactions are displayed using dashed lines in Figure 1 and explained below. No antagonistic interactions were hypothesised.

SMS Messages and Information Leaflet

Habit formation consists of multiple phases (89, 92, 93). SMS reminders will specifically target initiation, and repetition conducive to formation of cue-behaviour associations. The other phase, deciding to take the medication, relies on motivation to engage in the behaviour (92), which could be influenced by a positive necessity-concerns differential (139). Therefore, we hypothesise the information leaflet will contribute to and enhance the process of habit formation, resulting in a greater overall effect on adherence.

ACT and Information Leaflet

Some processes in ACT will indirectly target emotional representations of illness, that are associated with medication beliefs (32). For example, ACT-based skills that help one ‘unhook’ from distressing thoughts, could positively affect emotional representations, such as reducing fear of recurrence (140). Reducing emotional representations such as worry may synergistically reduce concerns about AET (54). Therefore, ACT and the information leaflet together may have a greater effect on medication adherence than each component alone.

Website and Information Leaflet

A major concern women have with AET is side-effects (50, 56, 58, 141). From a causal learning theory perspective to adherence, bottom-up learning (where actual experiences shape beliefs) may occur in which experiences with side-effects could shape medication beliefs (102). The website may have a positive effect on experience of side-effects, while the information leaflet may reduce concerns, leading to a more positive necessity-concerns differential (139). Consequently, combining the website and information leaflet may have an overall greater impact on adherence.

ACT and Website

Engagement in ACT techniques may increase willingness to tolerate side-effects when medication-taking is consistent with values, and can reduce symptom interference (111, 115, 116, 142). Engagement in the ACT component in combination with self-management strategies from the website, may therefore increase one’s ability to live well alongside side-effects, reducing their interference with meaningful functioning, consequently leading to greater adherence.

Additionally, use of the website may reduce side-effects. If the impact of side-effects is reduced, participants may be able to focus on life-enriching activities consistent with their values (116, 121, 142). Therefore, use of the website may enhance engagement in the ACT component, leading to a greater overall effect upon adherence.

We have demonstrated a transparent and systematic approach to the development of a complex behavioural intervention designed to support medication adherence in women with breast cancer. Using an iterative IM approach, and informed by the MOST framework, we used existing evidence, behavioural science theory, and patient experience to design an intervention package consisting of four intervention components (SMS, information leaflet, ACT, website) targeting key determinants of AET adherence.

Our study illustrates how intervention development can be guided by both IM and the MOST framework (29, 30, 41). Our plans to use a factorial design to optimise the intervention package will help delineate the individual contributions and interactions between the intervention components. This optimisation process aims to develop interventions that are more effective, efficient and scalable (29, 41, 143). This approach could accelerate knowledge in intervention development through improved understanding of which aspects of an intervention work and why (144). Combining IM with MOST could therefore be a more efficient method to develop and evaluate interventions, than using IM alone.

The MOST framework influenced key points in the intervention development process, namely, ensuring each component targeted a specific mediator, consideration of how the intervention components fit together as a package, and ensuring each component was distinct. Using a staged approach such as IM enabled us to consider these points throughout development. To avoid the possibility of developing a disjointed intervention package we ensured continuity in the aesthestics of each component.

The difficulty in targeting all barriers to adherence identified in the needs assessment was a challenge. For example, in terms of social support, while the developed ACT component does provide a degree of social support, it could be argued that this could be more adequately addressed with a group-based psychotherapy intervention. However, evaluating group-based intervention components using a factorial experiment would necessitate more complex, multilevel designs (145). While such designs exist, they are rarely used and methodological expertise and guidance are lacking. This led to uncertainty in deciding between a group-based or an individual psychotherapy component. Should we receive strong feedback from women receiving these interventions within the planned pilot trial that they would have preferred a group-based approach, we will give further consideration to evaluating it in a future optimisation trial. This decision will be guided by the results of a separate pilot trial of a group-based ACT intervention currently being undertaken by the authors (LH, SS, CG, JC) (146).

A further challenge of our approach was related to coding the active ingredients of the isolated intervention components. We felt it was important to use the same taxonomy to allow comparisons across intervention components. Therefore, we chose the BCTTv1 as this was the most widely used approach for coding behavioural interventions (42). However, the taxonomy was more challenging to apply to the ACT component than others, and several ACT specific intervention methods could not be positioned in the BCTTv1. This highlighted that the BCTTv1 taxonomy does not comprehensively cover all techniques that are involved in ACT based interventions; a limitation also acknowledged elsewhere (147).

Using factorial trials to evaluate multiple intervention components, as suggested by the MOST framework, is a relatively new approach in health services research. We made adaptations to IM based on time available and to include important considerations guided by MOST (28, 148). Strengths of our approach include applying an established intervention development method within the MOST framework, and the systematic reporting of the intervention development process. The differing formats of the intervention components allowed each determinant to be targeted using the most appropriate modality for that determinant. However, evaluating different formats of components may confound the mechanism of the intervention with the content. For example, participants may find the ACT component more engaging due to interaction with a therapist, rather than due to the content of the component. Future work could consider whether there is an intervention format that would be appropriate for all determinants to reduce disparity between components.

We have developed a complex behavioural intervention package, made up of four intervention components, to support women with breast cancer in taking AET. We have also demonstrated how IM can be harnessed to develop an intervention package that targets known determinants of medication taking behaviour in this population. Guided by MOST, this intervention package will be optimised in further trials with the aim of defining effective, efficient and scalable strategies to support behaviour change.

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Availability of data and materials

Data sharing is not applicable to this article as no datasets were generated or analysed during the current study.

Competing Interests

The authors declare that they have no competing interests.

Funding

This report is independent research supported by the National Institute for Health Research NIHR Advanced Fellowship, Dr Samuel Smith NIHR300588. DF is funded in part by the NIHR Manchester Biomedical Research Centre (IS-BRC-1215-20007). The views expressed in this publication are those of the author(s) and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health and Social Care. The funders had no role in the design of the study, data collection, analysis, interpretation of data, and in the writing of this manuscript.

Authors’ contributions

Conceptual model development = SS, CG, SG. SMS intervention development = SG, ER, SS, LH, DF, NR, CP, BG. Information leaflet development = SG, SS, DF, LH, NR, CP. ACT intervention development = CG, SS, JC, SG, LH. Website development = SS, LH, CG, LH, SG. Supervision = SS, DF, LH, NR. Funding = SS. All authors have read and corrected draft versions of the manuscript and approved the final manuscript.

Acknowledgements

We would like to thank all patient representatives for their contributions. We would also like to thank Health Creatives at University College London for designing the information leaflet and website intervention components. We acknowledge the contributions of the ROSETA investigators; Michelle Collinson, Rachel Ellison, Hollie Wilkes, Suzanne Hartley, Ellen Mason, Amanda Farrin, Rebecca Walwyn, Jo Waller, Daniel Howdon, Jamie Metherell.

AET	Adjuvant endocrine therapy
MOST	Multiphase Optimisation Strategy
IM	Intervention Mapping
SMS	Short messaging service
ER+	Oestrogen receptor-positive
MRC	Medical Research Council
RCT	Randomised Control Trial
PPI	Patient and Public Involvement
BCT	Behaviour Change Technique
ACT	Acceptance and Commitment Therapy
CSM	Common-sense model of illness representations
NHS	National Health Service
IAPT	Improving Access to Psychological Therapies

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Table 1. Adapted Intervention mapping framework

Stage	Task	What was done?
Stage 1- Needs assessment	Conduct a needs assessment	Literature review of the problem of non-adherence, barriers to adherence, and existing interventions to support adherence to AET
	Describe the context for the intervention including population	Population of interest described
	State intervention goals	Overall goal for the intervention established
Stage 2- Intervention objectives	Decide on behavioural determinants to be targeted	Selection of behavioural determinants based on needs assessment and context of intervention
	Specify intervention component objectives for behavioural outcomes	Intervention component objectives stated
	Create a conceptual model	Conceptual model created, detailing causal change pathways and hypothesised interactions between components
Stage 3- Intervention Design	Choose theory and evidence-based change methods	Theories relevant to each determinant identified were considered
	Select or design practical applications to deliver change methods	Existing interventions explored, informed by the needs assessment and practical applications considered
Stage 4- Intervention development	Establish the format of the intervention	Intervention components finalized based on stage 3
	Create intervention materials; draft and refine materials	Intervention development work completed
	Refine intervention materials	Stakeholder input from clinicians, patients and research team
Stage 5- Implementation planning	Consider how the intervention will be implemented	Implementations in the development phase discussed, and MOST optimization criterion outlined
Stage 6- Evaluation plan	Prepare process evaluation questions	Process evaluation planned
	Develop indicators and measures for assessment	Assessment measures decided on
	Specify the plans for evaluation design	Optimization plan considered
	Complete the evaluation plan	Progress of evaluation stated
	Outline expected interactions between intervention components	Hypothesised interactions between intervention components outlined and explained

Key: MOST = Multiphase Optimisation Strateg

Table 2. Summary of barriers to AET adherence.

Factor associated with adherence	Explanation	Evidence
Experience of side effects	Barrier: Increased frequency and intensity of side effects	(11, 18, 20, 34, 37-40, 50-53)
Medication beliefs	Facilitator: more beliefs about the necessity of AET Barrier: more concerns about AET	(11, 18-20, 32, 34-36, 38, 40).
Illness perceptions	Facilitators: beliefs that certain lifestyle behaviours can cause a recurrence Barriers: low risk perception of recurrence, high tamoxifen consequences, belief that psychological factors cause a recurrence	(51, 52, 54)
Knowledge/ information available	Barriers: Lack of knowledge of side effects and the mechanisms of AET	(34).
Psychological distress	Barriers: Increased distress (including depression and anxiety)	(20, 55).
Forgetfulness	Barriers: forgetting to take medication, memory difficulties	(18, 36, 56)
Social support	Facilitators: Increased social support	(11, 32, 34, 35, 37, 38, 52).
Self-efficacy	Facilitators: Increased self-efficacy	(32, 34, 38, 40)
Patient-physician communication	Facilitators: Better patient-physician relationship	(20, 32, 35, 37, 38)

Key: AET = adjuvant endocrine therapy

Table 3. Existing interventions supporting adherence to AET in women with breast cancer
Authors	Description of Intervention	Intervention modality	AET type	Design	Key results (adherence related outcomes)	Theory that informed the intervention
Ell et al., (2009)(69)	Written information plus structured ‘patient navigation’ phone interviews consisting of education, addressing barriers to adherence, problem solving, self-management support and emotional support.	Written information and telephone	All	2 arm RCT- enhanced usual care (information) vs written information plus patient navigation	No significant difference; 67% vs 69% (p=0.80).	Health Belief model and socio-cultural explanatory theory
Yu et al., (2012) (70)	PACT materials used. Patient education (welcome pack and quarterly newsletters) with information about breast cancer and adherence. Follow up reminder calls.	Written information and telephone	Anastrozole or letrozole	Prospective, multicentre controlled observational study	No significant difference; 95.9% vs 95.8% one-year persistence rate (p=0.95).	None reported
Ziller et al., (2013) (71)	COMPAS study. Letter group: 8 personalized motivational reminder letters were sent over 2 years with information on topics side effects and treatment. A breast cancer information leaflet containing information on topics such as nutrition and sport. Reminder phone calls: 8 telephone calls over 2 years which used motivational interviewing to address any questions, challenges to adherence, provide information and reminders.	Written information/ telephone	AI	3 arm RCT- usual care vs letters vs telephone calls	No significant difference in adherence in primary analysis. In post hoc analysis when pooling the intervention arms, adherence increased significantly in the intervention arms vs control (p=0.039).	Learning theory
Hadji et al., (2013) (72)	PACT Program: educational materials sent to participants (9 mailed letters and brochures), monthly reminders on persistence to endocrine therapy, gift items sent e.g. 7 day tablet box, pocket mirror. Educational materials included information on relevant issues such as side effects, efficacy, nutrition, communication.	Written information	Anastrozole	RCT- usual care vs written information	No significant difference in compliance at 12 months (p=0.81).	None mentioned
Neven et al., (2014) (73)	CARIATIDE program. PACT materials used- welcome pack and 9 letters and brochures mailed out, containing information on side effects, exercise, diet, communication.	Written information	AI	Randomized, parallel group observational study; usual care vs intervention	No significant difference in compliance between arms at 12 months (p=0.4524). In Finland/Sweden, compliance was significantly higher in the intervention arm (p=0.0246).	None mentioned
Graetz et al., (2018) (75)	App: Web based app in which participants asked to record symptoms and report adherence in the past 7 days. Alerts sent to care team for any concerns. App+ reminder: Web based app in which participants asked to record symptoms and report adherence in the past 7 days. Alerts sent to care team for any concerns. Weekly reminders sent to use the app via text or email.	App and text or email	AI	Pilot RCT- app use only vs app use plus reminders to use app	Proportion of patients adherent in the experimental group (100%) was greater than control group (72.7%); p<0.05.	None mentioned
Heisig et al., (2015) (79)	Enhanced information leaflet and 15-minute phone calls sessions including information on the mechanisms of AET, benefits and side effects.	Written information and telephone	Any	Interventional single cohort study	Greater adherence observed at 3‐month follow‐up.	None mentioned
Markopoulas et al., (2015) (74)	PACT materials. Educational materials sent to participants 9 times in one year, consisting of information on side effects, communication, sport, nutrition, benefits, tips on how to take AET.	Written information	Anastrozole or letrozole	RCT- standard care vs intervention	No significant difference in compliance or persistence between the groups at 12 months.	None mentioned
Castaldi et al., (2017) (80)	Patient navigation program. Initial visit include assessment of barriers to adherence. Navigator provides reminder calls prior to follow up appointments, meets patients at outpatient appointments and on day of surgery, and a financial consultation where required.	Patient navigation	Tamoxifen and AI	Non randomized, historical care vs navigated care	68.6% adherence in standard care vs 100% in patient navigation (p<0.0001).	None mentioned
Hershman et al., (2020) (76)	SMS messages sent twice weekly over 36 months. Content included overcoming barriers to medication adherence, cues to action, statements related to medication efficacy and reinforcements of the recommendation to take the medication. 40 messages repeated over intervention.	Text messaging	AI	RCT; text messages vs no text messages	No significant difference between text messages (55.55%) and no text messages (55.4%) at 36 months.	None mentioned
Moon et al., (2019) (81, 82)	Self-directed paper booklet designed in line with CBT and behaviour change theory. Included sections to modify beliefs about recurrence and the medication, to help manage side effects and to increase perceived behavioural control.	Written information	Tamoxifen	Pilot trial; no control group	Primary outcomes were feasibility and retention. Change from 100% to 91% who were non adherent after intervention. D=0.31 for improvement of unintentionally non adherent women.	Common sense model and theory of planned behaviour
Bhandari et al., (2019) (83)	Prescriptions given in a 30-day bubble pack with labelled day of the week; dispensed as 1- or 3-month supply.	Medication packaging	Tamoxifen and AI’s	Single arm prospective investigational pilot study	Suggestion of improved adherence with bubble packaging (no control arm)	None mentioned
Tan et al., (2020) (77)	Weekly SMS reminders sent on a Monday morning reading "Mdm <NAME> please be reminded to take your anti-cancer medicine as instructed by your doctor. Take one tablet once every day.".	Text messaging	All	Open level, multi centre prospective RCT	Higher percentage of adherence in SMS (72.4%) vs standard care (59.5%) at 6 months (p=0.034), but not at one year (p=0.617). No difference in serum hormone levels.	None mentioned
Krok-Schoen et al., (2019) (78)	Daily text message reminders focusing on initiation, continuation and adherence to prescribed dose; 14 messages repeated. Dynamic intervention in which participants complete weekly surveys on an app. Participants received feedback based on survey responses; either encouraging messages or problem solving. Physicians notified and patient has option to leave voice message and share with physician.	Text messaging and app	Tamoxifen or AI	Pilot trial; no control group	Significant improvement for self-reported medication adherence (p=0.015), significant decreases in oestradiol, oestrogen and estrone hormone levels (p<0.001).	None mentioned
Labonte et al., (2020) (84)	Community based pharmacy intervention; motivational interviewing given by pharmacists in brief individual consultations. Discussions focused on mode of action of AET, side effect coping and benefits of the medication.	In person (pharmacist)	All	Intervention mapping development	N/A- development paper	Theory of planned behaviour, motivational interviewing
Getachew et al., (2018) (85)	Breast care nurses were trained as navigators to improve patient adherence in rural Ethiopia	Breast nurse navigators	Tamoxifen	RCT	N/A- protocol abstract only	None mentioned

Key: RCT= Randomised Control Trial; PACT= Patients Anastrozole Compliance to Therapy; COMPAS = Compliance in Adjuvant treatment of primary breast cancer Study; CARIATIDE = Compliance of Aromatase Inhibitors Assessment in daily practice through educational approach. AET = adjuvant endocrine therapy; SMS = short messaging service; CBT = cognitive behavioural therapy; AI = aromatase inhibitor.

Table 4. Registered clinical trials of interventions to support adjuvant endocrine therapy in breast cancer patients

Clinical Trial ID	Description of intervention	Intervention modality	Design	Population	Status	Adherence related outcomes
NCT03592771	Web-enabled app in which patients input their treatment-related symptoms or changes. Reported symptoms integrate into electronic health care records. Concerning symptoms trigger an alert to the care team and contact is made. App group: receive weekly reminders (via text or email) to use the app App + Feedback group: receive weekly reminders and feedback about their use of the app	App and text/email reminders	3 arm RCT; usual care vs app vs app plus feedback	AI or Tamoxifen	Recruiting	Electronic pillbox monitoring
NCT04142476	Motivational, semi-directed interviews with pharmacists over 18 months, to motivate adherence to hormone therapy.	In person	No randomization; Single group assignment	Any AET	Recruiting	Data from electronic pillboxes
NCT04861896	Smartphone app with a 12-week program regarding psychoeducation about breast cancer and hormone therapy, stress awareness and management, social support, and enhanced communication and intimacy skills.	App	No randomization; single group assignment	Hispanic/Latina women, any AET	Recruiting (for pilot trial)	Adherence to Refills and Medications Scale
NCT04824339	8 week aerobic and resistance program with virtual group based supervised exercise sessions twice per week (60 minutes). Optional information on healthy eating.	Virtual exercise sessions via Zoom	Randomized, partial crossover; immediate intervention vs delayed intervention	Tamoxifen or AI	Recruiting	Voils DOSE nonadherence measure (secondary outcome)
NCT04651452	Values affirmation group: participants asked to write an essay monthly for 6 months about values important to them. Reflective journal group: Participants will be asked to write monthly essays for 6 months about their daily routines, and values not important to them that could be important to others.	Online website or postal	RCT; value affirmation vs reflective journaling	AI	Recruiting	Morisky measure of adherence, and electronic pill bottle monitoring
NCT04719455	HCP visits; baseline visit will include motivation, collaborative goal setting and plans for adherence and physical activity. Follow ups with HCP include personalized visual reports of medication intake, number of steps, and to identify any problems and solutions.	In person	Pilot RCT; usual care vs self-management intervention	Any AET	Recruiting (for pilot trial)	Number of days of missed medication (adherence is a secondary outcome)
NCT04176809	One compulsory workshop about AET benefits. 2 optional workshops about nutrition and fatigue monthly. Monthly reminder letters sent including tips to deal with side effects. Regular HRQoL assessments using a tablet before consultations.	In person, and letters	RCT; standard care vs routine HRQoL assessment and therapeutic information	Any AET	Not yet recruiting	Morisky Green Levine scale
NCT04554927	Web based application (no further information provided)	App	RCT; Web application vs active comparator (personalized schedule of medical follow up)	Any AET	Recruiting	Morisky 8 item adherence scale
NCT04086875	Twice weekly SMS messages providing educational information for 6 months to motivate adherence	Text messaging	RCT; usual care vs text messages	Any AET	Recruiting	Smart pill bottles opening data
NCT02883361	Motivational enhancement therapy. 4 in person counselling sessions over 12 months. Motivational interviewing to increase motivation and decrease ambivalence about change.	In person	RCT; Motivational interviewing vs attention control	AI	Not yet recruiting	Medication possession ration
CN-01810939	Breast cancer information leaflet. Personalized letter to remind, motivate and inform patients about AET. Additional reminder phone calls from a study nurse.	Post, phone calls	3 arm RCT; standard information vs personalized letters telephone calls	No information	No information	Self-report and prescription refill
NCT03949270	Daily text messages asking whether the patient has taken their medication, Weekly messages asking about side effects. Monthly messages asking about barriers to adherence. Contact from physician if there are any concerning responses.	Text messaging	RCT; usual care vs text messaging	AI	Recruiting	Persistence to therapy at one year
NCT02707471	Self-management intervention. 10 calls over 6 months delivered by a nurse, and tailored interactive voice messages based on adherence data. Focus on strategies for managing side effects, behavioural strategies to improve adherence and education.	Phone calls	RCT; self-management intervention vs general health education control	Any AET	Recruiting	Smart pill bottles (bottle opening and percent of pills remaining)
NCT02850939	Interactive smartphone app that was personalized and culturally tailored. Additional support from a patient navigator. Focus on patient education, reporting side effects, delivery of self care advice, simplified communication between patient and oncology team.	App and patient navigation	RCT; usual care vs app and patient navigation	Any AET	Recruiting	Prescribing and refill records and self-report data via mobile app.
NCT03837496	6 weekly one hour sessions in small groups of 2-3; psychoeducation, problem solving barriers to adherence, cognitive behavioural skills, relaxation training, coping strategies for side effects, and mindfulness techniques. Two individual 15 minute semi-structured interview with therapist one and two months after the intervention to problem solve ongoing challenges with adherence.	Videoconferencing	RCT; STRIDE intervention vs medication monitoring control (pilot trial)	Any AET	Recruiting	MEMS caps, MARS-5 (adherence is secondary outcome due to pilot trial)

Key: RCT= Randomised Control Trial; AI = aromatase inhibitor; AET = adjuvant endocrine therapy; DOSE = Domains of Subjective extent of nonadherence; HCP = Health care practitioner; HRQoL = Health related quality of life; STRIDE = Symptom-targeted randomized intervention for distress and adherence to adjuvant endocrine therapy; MEMS = Medication event monitoring system; MARS-5; Medication adherence report scale.

Note: Where there were multiple publications regarding an ongoing trial (e.g. study protocols and development papers), the trial is only displayed in the ongoing interventions table to avoid repetition.

Table 5. Summary of intervention components to target determinants.

Determinant	Intervention component objective	Strategy	Intervention component	Description of intervention component	BCT’s targeted
Management of side effects	Increase ability to self-manage side effects Reduce impact of side effects	Inform patients of self-management strategies for common side effects	Self-management website	A website for self-management of side effects. Strategies to manage side effects with a summary of the strength of evidence for that side effect in a patient-friendly manner. Side effects included are arthralgia, fatigue, vulvovaginal symptoms, gastrointestinal symptoms, hot flushes and sleep difficulties.	1.2, 3.1, 3.3, 4.1, 5.1, 5.3, 5.6, 6.2, 6.3, 9.1, 11.1, 12.2, 12.5, 12.6
Medication and illness beliefs	Increase beliefs about the necessity of using AET beliefs Reduce concerns about AET Support formation of accurate illness perceptions	Provide information on how AET works and the benefits of AET. Provide information on the prevalence of side effects, answer common concerns about AET. Provide information on the mechanism of AET and the benefits of AET to enhance coherence, personal and treatment control	Information Leaflet	A written information leaflet with five different elements: An explanation of how AET works, including medical diagrams Information and infographics about the benefits of AET Information about the prevalence of side effects from AET Answers to common concerns about AET Quotes from breast cancer survivors about their experiences taking AET, and a statement highlighting that the leaflet was co-designed As above	1.2, 4.1, 4.3, 5.1, 5.2, 5.6, 6.2, 6.3, 9.1, 9.2, 11.2, 13.2
Knowledge	Learn about AET, including how it works, the benefits and side effects of it	Provide information about AET, it’s mechanism of action, benefits and side effect information	Information Leaflet		As above
Forgetfulness	Learn strategies to remember to take AET	Support the habit formation of daily medication taking and associated activities such as ordering and collecting prescriptions	SMS messages	SMS messages providing practical strategies to support taking medication regularly each day. Messages are sent in the following frequency: · 2 weeks of daily messages · 8 weeks of twice weekly messages · 6 weeks of weekly messages	1.2, 1.4, 2.3, 7.1, 7.3, 8.3, 11.3, 12.1), 12.5)
Psychological distress	Reduce psychological distress	Increase psychological flexibility	ACT	A guided-self help intervention based on ACT principles involving four skills: Mindfulness: broad awareness of the here-and-now. Unhooking: engaging and disengaging from thoughts as suits your purpose, and letting go of struggles with yourself. Follow your values: ongoing engagement with your values; consistently choosing to move in meaningful directions. Living beyond labels: Taking a perspective beyond labels and responding to yourself in ways that help you grown and learn The modules contain home practice tasks and are supported by individual sessions with a psychologist in the following format: 15 minute introduction 3x 25 minute sessions following modules 1, 2 and 3 15 minute closing session following module 4	1.1, 1.2, 1.5, 1.6^a, 1.7, 2.3, 2.4, 3.1^b, 4.1, 4.4, 5.2, 5.4, 5.6, 6.1, 6.2, 8.1, 8.2, 8.7, 9.1, 9.2, 10.9, 11.3, 11.4, 13.4, 15.2, 15.3

Key: BCT= Behavior change technique; AET = adjuvant endocrine therapy; SMS= short messaging service; ACT = Acceptance and commitment therapy.

*Refers to the BCT’s selected for messages to be based on during a one day workshop with behavior change experts.

^aNote: goals may be conceptualized differently in ACT (i.e. based on values) to how they are conceptualized in this taxonomy

^bNote: The definition of this BCT states “advise on, arrange or provide social support OR non-contingent praise or reward for performance of the behaviour. It includes encouragement and counselling”. The coding of this BCT reflects the encouragement provided as part of the support sessions. It does not reflect ‘non-contingent praise or reward for performance of the behaviour’, which is not consistent with an ACT approach.

1.1 Goal setting (behavior); 1.2 Problem solving; 1.4 Action Planning; 1.5 Review behavior goals; 1.6 Discrepancy between current behavior and goal; 1.7 Review outcome goal(s); 2.3 Self-monitoring of behavior; 2.4 Self-monitoring of outcome(s) of behavior; 3.1 Social support (unspecified); 3.3 Social support (emotional); 4.1 Instruction on how to perform a behavior; 4.3 Re-attribution; 4.4 Behavioral Experiments; 5.1 Information about health consequences; 5. Salience of Consequences; 5.3 Information about social and environmental consequences; 5.4 Monitoring of emotional consequences; 5.6 Information about emotional consequences; 6.1 Demonstration of the behavior; 6.2 Social comparison; 6.3 Information about others’ approval; 7.1 Prompts/cues; 7.3 Reduce prompts/cues; 8.1 Behavioral practice/ rehearsal; 8.2 Behavior substitution; 8.3 Habit Formation; 8.7; Graded tasks; 9.1 Credible source; 9.2 Pros and Cons; 10.9 Self-reward; 11.1 Pharmacological support; 11.2 Reduce negative emotions; 11.3 Conserving mental resources; 11.4 Paradoxical Instructions; 12.1 Restructuring the physical environment; 12.2 Restructuring the social environment; 12.5 Adding objects to the environment (12.5); 12.6 Body changes; 13.2 Framing/ reframing; 13.4 Valued self-identity; 15.2 Mental rehearsal of successful performance; 15.3 Focus on past success

Table 6. Readability of intervention components.

Intervention Component	Flesch-Kincaid Grade	Age range
SMS messages	7.6	12-13 years old
Information leaflet	7.1	12-13 years old
ACT participant manuals
Module 1	6.1	11-12 years old
Module 2	6.9	11-12 years old
Module 3	7.8	12-13 years old
Module 4	8.3	13-14 years old
Website	7.2	12-13 years old

Key: SMS= short messaging service; ACT = Acceptance and commitment therapy.

No competing interests reported.

AdditionalFile1.docx
Additional file 1 (PDF)- Intervention component examples. This provides examples of the four intervention components that were developed; SMS messages, information leaflet, ACT participant manuals and the side-effect management website.
AdditionalFile2.docx
Additional file 2 (Word document)- TIDieR checklist.

PDF

Editorial decision: Major revision
31 Mar, 2022
Reviews received at journal
08 Mar, 2022
Reviewers agreed at journal
04 Mar, 2022
Reviewers invited by journal
04 Mar, 2022
Editor assigned by journal
04 Mar, 2022
Editor invited by journal
24 Feb, 2022
Submission checks completed at journal
24 Feb, 2022
First submitted to journal
07 Jan, 2022

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Supporting adjuvant endocrine therapy adherence in women with breast cancer: the development of a complex behavioural intervention using Intervention Mapping guided by the Multiphase Optimisation Strategy

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Background

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Stage 1: Needs assessment

Stage 2: Intervention Objectives

Stage 3: Intervention design

Stage 4: Intervention Development

Stage 5: Implementation planning

Stage 6: Evaluation plan

Patient and Public Involvement (PPI)

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