Skip to main content

How does mentoring occupational therapists improve intervention fidelity in a randomised controlled trial? A realist evaluation

Abstract

Background

Integrating complex interventions within healthcare settings can be challenging. Mentoring can be embedded within a randomised controlled trial (RCT) to upskill and support those delivering the intervention. This study aimed to understand, from a realist perspective, how mentoring worked to support implementation fidelity for occupational therapists (OTs) delivering a vocational rehabilitation (VR) intervention within the context of an RCT.

Methods

A realist evaluation using secondary data (emails, mentoring record forms, interviews) collected as part of an RCT. Three researchers coded the data following content analysis, focused on refining or refuting an initial programme theory by exploring the interactions between context, mechanisms, and outcomes. The research team met to further refine the programme theories.

Results

Data from 584 emails, 184 mentoring record forms, and 25 interviews were analysed following a realist approach. We developed a programme theory consisting of two contexts (trial set-up, ongoing mentoring), nine mechanisms (collective understanding, monitoring, timely support, positive reinforcement, reflective practice, support data completeness, facilitation strategy, shared learning experience, management of research and clinical duties), and three outcomes (improved confidence, improved fidelity, reduced contamination).

Conclusions

Offering mentoring support to OTs delivering a VR intervention as part of an RCT improves intervention fidelity and reduces the risk of contamination. It improves OTs’ understanding of the differences between their clinical and research roles and increases their confidence and competence in trial paperwork completion and identification of potential contamination issues.

Peer Review reports

Introduction

Complex interventions are characterised by having multiple intervention components, involve behaviour change from several stakeholders and can influence multiple outcomes [1]. These are commonly used in health settings to influence important health outcomes [2]. One such intervention is vocational rehabilitation (VR), which focuses on supporting people with illness or disability to remain, return to, or find new employment [1, 3].

Implementing complex interventions within healthcare systems is challenging and time-consuming [4]. Several barriers have been identified to deliver complex interventions with fidelity at organisational and professional levels [5]. In a previous systematic review [6], barriers to maintaining fidelity in the delivery of rehabilitation to people with long-term neurological conditions included a lack of training availability and therapists’ lack of confidence in offering new interventions, especially if there is a delay between training and the start of intervention delivery [5, 6]. Implementing new interventions in clinical practice or a clinical trial context may require changes in staff knowledge, skills, confidence, and attitudes, and how they apply new learning in practice is a complex process [5].

To overcome some of these barriers, healthcare professionals delivering complex interventions rely on implementation strategies [7]. These can be defined as methods to enhance an intervention’s adoption, implementation, and sustainability [8]. For example, methods for training and supporting those delivering the intervention, such as mentoring, intervention-specific toolkits, checklists, algorithms, and formal practice protocols and guidelines [8].

Mentoring is an iterative process of intentional relationships between individuals dedicated to the professional and personal growth of one another within a structured program bound by a timeframe and defined objectives [9, 10]. Previous studies have examined and demonstrated the effectiveness of mentoring in implementing complex interventions [9, 10] and how mentoring supports intervention fidelity in the context of a trial [11]. However, the mechanisms underlying this learning process remain unclear.

Realist evaluations provide the methods to explore a programme’s context, mechanisms, and outcomes, which allow for determining how an intervention or programme works, for whom, and under what circumstances [12, 13]. This approach enables an understanding of how the context influences behaviour towards an intervention, which, in turn, impacts the outcomes (i.e., participants’ responses) [12]. Evaluating a complex intervention can be challenging, and realist evaluations can be valuable for understanding implementation and which aspects of an intervention (in this case, mentoring) are effective or not [14]. Realist methods have been previously used to understand how complex interventions such as improving primary healthcare services [15], mentoring [16], and mental health rehabilitation services [17] work. Although more time-consuming than other methodologies (e.g., process evaluation), we selected a realist evaluation to identify the active ingredients of a complex intervention (i.e., mentoring) and gain insight into the factors (mechanisms, context) that underlie the effectiveness of mentoring [14].

This study uses realist evaluation methodology to explore the impact of embedded mentoring for clinical Occupational Therapists (OTs) working in the National Health Services (NHS) of the United Kingdom (UK) delivering an early stroke specialist vocational rehabilitation intervention (ESSVR) for stroke survivors as part of a randomised controlled trial (RCT) [18]. We are interested in understanding:

  1. 1)

    What are the underlying mechanisms by which Occupational Therapist-led mentoring supported the delivery of ESSVR for OTs in the RETAKE trial?

  2. 2)

    What are the conditions, in terms of context and mentoring structure, for whom mentoring works, how, and under what circumstances?

  3. 3)

    What other outcomes are influenced by mentoring for the OTs within the trial context?

Methods

We conducted a realist evaluation drawing on the reporting standards for realist evaluations (RAMESES II) [19].

Context

The RETAKE [Return to Work after Stroke] trial involved the delivery of an early stroke specialist VR intervention (ESSVR) commencing within 12 weeks of stroke intended to support participants’ return to work and job retention at 12 months post-randomisation. ESSVR was individually tailored to the stroke survivor’s clinical, personal, and professional needs. ESSVR included assessment of the impact of a stroke at work, educating patients, employers and families about the impact of a stroke at work, identifying reasonable adjustments (e.g., written instructions, specialist equipment) to lessen the impact of stroke, work preparation and maintenance, and engagement of stakeholders (e.g., employer, healthcare professionals), amongst other support [18].

OTs delivered the intervention in the participants’ homes or workplaces, according to preference and need. Two OTs were recruited to deliver the RETAKE intervention in each of 16 trial sites [18]. The OTs recruited to deliver the ESSVR intervention adopted the role of mentees and received mentoring from senior OTs who were not involved in intervention delivery. The mentors were also OTs with stroke-specific knowledge and experience in VR and research processes (e.g., two had completed a PhD).

Mentees were based in different healthcare settings, with varying levels of VR and stroke expertise. OTs delivering the intervention completed an initial 2-day training session, followed by a third day six months later, to deliver the VR intervention and engaged in group monthly mentoring sessions delivered remotely [18].

Development of initial programme theory

Following the realist evaluation framework, we developed an initial programme theory using a context-mechanism-outcome (CMO) configuration through discussion with the research team [13]. While developing the initial programme theory, we conducted a face-to-face group meeting with the eight research team members (i.e., co-authors) to understand how mentoring was delivered during the trial and their thoughts on the impact of mentoring on the trial. A team member (BDP) led a discussion to understand what it was about the way mentoring was delivered, that made a difference to how the OTs delivered the intervention. The research team was encouraged to provide an explanation of how mentoring worked to test the initial theories the team provided, and refine them iteratively through discussion [20, 21].

The team members had first-hand experience in the trial processes and in supporting the mentees with the implementation of ESSVR. The initial programme theory was:

If research OTs with limited research experience are provided with frequent mentoring during the trial (Context), then they will become more confident in delivering the intervention (Outcome) and deliver the intervention with improved fidelity (Outcome), because mentoring will help them develop an understanding of the need to adhere to the intervention process and trial (e.g., completion of forms) procedures (Mechanism).

We developed a series of secondary programme theories to explore the mechanisms by which mentoring brings about its change in more detail, which allowed us to create a code book for analysing the data. These are presented in additional file 1.

Data Collection

This study involved secondary data analysis from the mentoring records collected during the trial. The methods used to embed the mentoring in the trial are published elsewhere [22]. The data was collected between March 2018 and April 2020 as part of the trial and included mentoring record forms (n = 184) (including content regarding implementation and clinical issues, challenges experienced by the OTs, and issues with the employer’s intervention), emails (n = 584) between the trial team and OTs, and interviews with mentors (n = 6) and mentees (n = 19) at the end of the trial to explore their views and experiences on the trial; these were not conducted following a realist perspective. We obtained informed consent from all participants.

The demographic characteristics of the mentors and mentees involved in the RETAKE trial are reported elsewhere [22].

Data analysis and synthesis

Interviews were audio-recorded, transcribed verbatim by an external company, and analysed following content analysis. All data (emails, interview transcripts, and mentoring record forms) were systematically coded following a realist evaluation framework. We developed a definition for each of the mechanisms identified in the initial programme theories to allow for consistency during the data coding process, and these were reviewed by the full research team.

Data from each data source (i.e., emails, mentoring record forms, interviews) were coded according to CMO configurations using Microsoft Word, and then data was merged in Excel for synthesis. The context refers to the background where the mentoring was implemented, including the trials and research site environment; the mechanisms refer to how the mentoring worked and what it triggered in the mentees (e.g., changes in feelings or thoughts), and the outcomes were the expected or unexpected consequences of the mechanisms acting in the given context. Only data related to the mentoring processes were extracted, using a bespoke data extraction form (additional file 2).

Three researchers (KP, JM, BDP) were involved in the data coding, and one author (BDP) oversaw the data coding and reviewed the data extraction forms. Discrepancies were discussed between the three researchers, and a fourth researcher (KR) was contacted to resolve discrepancies through discussion.

The first step in data analysis involved three researchers (KP, JM, BDP) reading and coding 10 emails independently to identify mechanisms involved in the mentoring process. The researchers met to discuss any discrepancies and distributed the data to code independently, arranging monthly meetings to discuss any issues with data extraction, new mechanisms identified, refine their definitions, and revise the programme theories.

Data were synthesised following the steps described by Wong et al. [23]. The CMO configurations coded were grouped based on the mechanisms that best explain the relationship between the context and outcomes of the mentoring support integrated within the trial. We developed “if-then-because” statements (i.e., “if” context, “then” outcome, “because” mechanism) to summarise the CMO configurations [23]. The data synthesis followed an iterative process to develop, support, refine, or refute the original programme theories based on the evidence from the mentoring records.

Team consultation

Following the data synthesis, the research team met to discuss the programme theories and refine them based on their knowledge and experiences of the mentoring and trial processes. Three authors (BDP, KP, JM) presented the programme theories to the rest of the research team who were involved in the trial to ascertain their views on the impact of mentoring on intervention delivery. The research team was presented with all the components of the programme theory and asked to reflect on whether the theories developed were valid or should be refined. Three authors (BDP, KP, JM) took notes on the views of the research team to refine the programme theories.

Development of a theoretical framework

The data from the mentoring records and consultation with the research team was synthesised to develop a programme theory using CMO configurations to explain how mentoring should be integrated within the context of future trials, which can be accommodated for different settings.

Ethical approval

The RETAKE Trial received full Ethical approval through the East Midlands–Nottingham 2 Research Ethics Committee (Ref: 18/EM/0019) and the NHS Health Research Authority. This study involves secondary analysis of anonymised data collected as part of RETAKE, and refinement of the programme theory through discussion with the research team involved in trial delivery and mentoring.

Results

Data from 584 emails, 184 mentoring record forms, and 25 interviews were analysed. Data analysis generated two contexts, nine mechanisms, and three outcomes relevant to mentoring (Table 1). We present first the context relevant to mentoring, followed by the mechanisms and the resulting outcomes.

Table 1 Definition of programme theory, with illustrative data

Context

We identified two main themes within the context domains: trial set-up and ongoing mentoring sessions.

Trial set-up

Mentors started engaging with the mentees when a site was recruited to the trial. Some mentors were involved in training the mentees in ESSVR. These interactions were essential for the mentors to understand the mentees’ previous experiences (i.e., who had prior VR experience and who did not), clinical responsibilities at each site and the mentees’ critical areas for development.

Ongoing mentoring

During the trial, mentoring involved monthly group sessions and guidance to follow trial and ESSVR procedures. Mentors also provided ad hoc mentoring sessions for those who needed additional support. Mentees reported challenges around managing clinical and research requirements, such as insufficient time at work to deliver the intervention to trial patients, NHS managers expecting OTs to support the same number of patients as before the trial, and support needs in completing trial documentation and letters to other stakeholders (e.g., employers).

Mechanisms

We elicited eight main mechanisms to describe how mentoring worked in the context of the RETAKE trial.

Collective understanding

One of the main mechanisms identified was “collective understanding”. Mentors supported mentees to understand the essential ESSVR components and tasks related to the documentation of the trial. Over time, mentors and mentees developed a relationship of trust that made mentees more likely to ask for support. This relationship matured as mentors shared examples from their experiences and were understanding and open-minded with the mentees’ questions.

As mentees developed a collective understanding of their research and clinical role, they became more accurate in identifying instances of potential contamination and delivered ESSVR with improved fidelity. Problems developing this collective understanding led to delays in study set-up, instances of contamination, and mentees lacking awareness of ESSVR procedures (e.g., how to discharge a participant). This mechanism was a driver for all other mechanisms within the trial.

Monitoring

This mechanism relates to the mentors’ ability to review progress made and provide long-term support to mentees during the trial.

At the trial set up stage, if the mentors engaged with the mentees to track progress on the sites, then this facilitated the identification of any changes in the trial sites that might lead to contamination (e.g., new service developments or services, identifying new or competing research studies, etc.). Mentors were then able to prepare the mentees to engage with the trial (e.g., access to trial systems and paperwork, data protection and Good Clinical Practice (GCP) training), and the mentors were able to identify those in need of further training. For this to occur, the mentors had to be proactive in developing trusting relationships with the mentees, potentially through the initial training that the mentees received. This was reinforced over the course of the trial due to further interactions during the mentoring sessions. This enabled the mentors to monitor progress, identify potential problems, and address the mentees’ concerns.

During the intervention delivery period, this mechanism related to mentors reassuring mentees that they were on the right track with the intervention delivery, which increased the mentees’ confidence in their ability to deliver the support, especially those who were new to VR. Mentors also shared summaries of the content discussed in the group mentoring sessions and arranged further 1-to-1 sessions for those who needed additional support. This allowed the mentees to have a re-accessible resource to review in their own time.

Timely support

In each group mentoring session, mentees were invited and actively encouraged to share details about their current caseloads. Mentees were especially encouraged to share instances and situations where they were struggling. Through sharing these struggles with the mentoring group, the mentees could seek advice from their mentors and peers and learn from their mistakes before integrating them into ESSVR delivery. Mentors were also able to identify their mentees’ further training needs in a timely way. This helped solidify skill development, increase confidence in delivering ESSVR, and ultimately helped facilitate fidelity to ESSVR.

Mentors reflected that even when mentees had developed greater confidence, the mentees still sought timely support, but were often looking for reassurance rather than solutions to a problem. The mentors also reflected that the more mentees engaged in disclosing their struggles in mentoring and subsequently received support, the more likely they were to disclose their struggles in future sessions.

It is important to consider that early identification of issues relied almost entirely on the mentee communicating their experience of delivering ESSVR. Throughout the trial process, situations arose where mentees required timely input from their mentors, often between mentoring sessions. When mentees were not able to disclose their struggles within their monthly mentoring session, mentors encouraged the mentees to contact them for individual support. In some circumstances, mentees did not engage in some of the monthly mentoring because of environmental factors, such as busy caseloads and personal circumstances. Mentors highlighted that, at times, providing timely support to mentees seeking individual support was difficult as the timeliness was dependent on the workload of the mentor and the mentee.

Positive reinforcement

When mentors provided reassurance about a mentee’s proposed course of action, mentees felt valued (and therefore disclosed more). Still, they were also reassured in their actions, which helped solidify their skill development, ESSVR knowledge, and confidence. When mentees are more confident in ESSVR delivery, they were more likely to go outside of their comfort zones to engage and liaise with employers.

Increases in mentees’ ESSVR delivery and research self-efficacy also increased the mentors’ confidence in the mentees’ abilities. Increased confidence in the mentees meant that the mentors could plan their time to give more support to less confident mentees. Mentors reflected that increased confidence among the mentees led to the group mentoring becoming more peer-led, which, in turn, led to the mentees feeling more valued.

Some mentees became more dependent on their mentors due to positive reinforcement. Mentors provided a safety net for mentees with little to no experience in VR or research. There was also a shared sentiment that, in some cases, mentees stopped coming to group mentoring, because they preferred the positive reinforcement and increased self-efficacy from one-to-one mentoring sessions. For these mentees, mentors reportedly had to delay their response rate to foster independence.

Reflective practice

ESSVR was a new intervention for the OTs in the RETAKE trial. Its components pushed the mentees beyond their comfort zones. In group and individual mentoring sessions, mentors provided a space for mentees to think about how they might approach ESSVR and other trial-related problems. Through evaluating the ESSVR process and trial procedures and discussing previous experiences, mentees were able to learn from each other and develop shared ‘best practice’. By sharing each other’s cases and reflecting on those cases, mentees were able to build their knowledge of how to individually-tailor ESSVR to their participants’ needs. This facilitated increased confidence and self-efficacy in both ESSVR delivery and trial procedures.

For many OTs, participating in a monthly, hour-long reflective practice session was an opportunity they did not have in their usual care roles, even though was written into some OTs’ contracts.

Support data completeness

This mechanism refers to support in completing forms, recording study data, and training and developing letter templates to communicate with participants and other stakeholders.

During mentoring sessions, mentors emphasised the importance of accurately completing study documentation and intervention records. They offered support with completing forms, which increased the mentees confidence and competence for accurate completion.

More reliable data were obtained from mentees who completed forms and reports immediately following ESSVR delivery. Mentees who completed forms later tended to rely on their clinical notes and were less accurate in their reporting.

Facilitation strategy

On numerous occasions, the mentees raised problems with the mentors that they did not know how to solve by themselves. For example, how to engage with managers, support recruitment or understand problems with how they were being paid to deliver the research. Their relationships with the mentor made them more likely to contact the mentors or other research team members to discuss issues and seek advice. For example, the mentors contacted the trials unit or the Chief Investigator to address complex trial issues, the mentors supported mentees on RETAKE administrative duties to relieve staff pressures, or mentors and mentees worked together to understand how to contain contamination at a site. This interaction improved intervention fidelity and allowed the development of a network of stakeholders with different skills to address each problem.

Overall, the mentors acted as case managers finding solutions to problems or identifying stakeholders who could address the problem. The mentees saw themselves as key members of the trial, with a role in ensuring the intervention was delivered as intended to ensure a robust trial outcome. Mentors themselves were able to address recurrent trial challenges such as low recruitment or staffing issues because they had gained this experience through the trial and knew who to contact for each problem.

Shared learning experience

This mechanism evolved over the study duration. The RETAKE trial lasted 6.5 years with 47 months of recruitment and an extra 12 months of ESSVR delivery. It was also impacted by the pandemic; thus, there were many changing circumstances that required shared learning to address problems. However, mentoring was seen as a highly acceptable process in the trial.

During the trial set-up, mentees got to know each other at the face-to-face intervention training and site initiation visit sessions. These trial set-up interactions, together with interactions in their own trial sites and during mentoring, allowed them to develop working relationships beyond their role in the trial.

During mentoring, mentors took a leading role and shared their own experiences and best VR practices with the mentees. Over time, mentees became more confident in offering each other support, creating an environment of peer support where they discussed common issues and potential solutions to barriers based on their experience. Mentees also discussed what they had learned and what they found most helpful. For example, mentees discussed how they learned by “doing” (i.e., delivering the intervention), and having a mentor to answer questions helped boost their confidence and knowledge in VR. Mentees were also grateful that other mentees were sharing initiatives and procedures followed at their site, which could be integrated into other sites to improve how services are delivered. This approach helped mentees learn from one another and build relationships over time.

Management of research and clinical duties

This was the only identified mechanism that affected delivery of the intervention with fidelity.

The Covid-19 pandemic had a direct impact on the mentees usual care clinical duties, which by extension, limited their time available to deliver ESSVR and engage in the mentoring. This was particularly challenging for mentees when either they or someone in their NHS teams contracted Covid-19, and were unable to work. The increased workload meant mentees could not deliver the intervention.

Mentees also experienced challenges associated with their NHS line managers being unsupportive of their research role. Despite mentees being paid indirectly via Excess Treatment Costs [24] to deliver ESSVR, within site transfer of these finances into therapy services’ budgets, research naivety in some NHS sites (in both line managers and research and innovation), together with local recruitment issues, often meant the OT mentees research time was not backfilled and some mentees were expected to deliver the research activity in addition to their usual clinical role. This resulted in mentees feeling overwhelmed.

If mentees were experiencing problems managing their clinical and research duties, they typically experienced problems with intervention delivery, and following research procedures.

Outcomes

We identified three main outcomes by integrating the mentoring sessions into the trial.

Improved confidence

Mentees became more confident in their ability to engage in research and deliver ESSVR as expected, developed skills to contact other stakeholders (e.g., employers, occupational health representatives, etc.), and engaged in conversations to problem-solve challenges arising during the intervention. This improved confidence resulted from the shared learning experience and open-minded mentor and mentee support. Mentors also gained confidence in the mentees ability, based on the questions they asked and their approach to solving identified problems. Mentees who overestimated their knowledge and ability to deliver ESSVR engaged in fewer mentoring sessions, and therefore, had fewer opportunities to reflect on their practice.

Improved fidelity

Through the mentoring sessions and contact with the mentors between sessions, mentees became more familiar with the clinical aspects of ESSVR delivery and research processes (e.g., how to record the intervention content). Therefore, they became more accurate in delivering and reporting ESSVR content. Therefore, they became more adherent to the individual components of ESSVR and more accurate in their reporting of ESSVR component delivery. OT mentors found fewer discrepancies between the intervention delivered and the intervention recorded, and OT mentees became more accurate in differentiating between intervention components and following procedures according to the different trial circumstances.

Reduced contamination

The topic of contamination was addressed during the trial set-up training sessions to allow mentees to identify potential issues that may arise during the lifetime of the trial.

As mentees became more familiar with the intervention manual and research processes, they became more aware of changes in their NHS services and local centres that may lead to contamination.

Mentees were responsive in communicating these changes to mentors and the research team, which allowed them to implement solutions to overcome contamination issues.

Revised Program Theory

Based on the data analysis, a visual representation of the revised programme theory representing the interaction between the different CMOs is presented in Fig. 1.

Fig. 1
figure 1

Mentoring programme theory. Legend: Red arrows depict barriers to achieving outcomes

The context related to the “trial set-up” stage is at the programme theory outset. It refers to the starting point when the mentees and mentors got to know each other, shaping relationships and by extension, their perceptions of mentoring. Mentors received training on their role and expectations. All had worked as mentors on previous trials and had prior expertise in VR. The second context, “ongoing mentoring”, is located across the logic model to reflect changes over time.

The underpinning mechanisms of mentoring are presented as interacting with each other to reflect the ESSVR intervention and research learning throughout the trial.

The programme theory describes how embedding mentoring within the trial led to the proposed outcomes. One outcome (improved confidence) impacts at an individual level (mentees), and it is essential to achieve the intervention-related outcomes (improved fidelity and reduced contamination).

Discussion

This study aimed to develop a realist programme theory to explain how mentoring supports implementation fidelity in a complex intervention trial. We identified nine mechanisms (collective understanding, monitoring, timely support, positive reinforcement, reflective practice, support data completeness, facilitation strategy, shared learning experience, management of research and clinical duties) and three outcomes (improved confidence, improved fidelity, reduced contamination) that describe how mentoring helped clinical OTsdeliver a complex VR intervention. The programme theory illustrates a process where mentees become more knowledgeable in ESSVR and trial processes, which helped them deliver the intervention with improved fidelity and identify problems (i.e., contamination).

Our previous research exploring the impact of mentoring in the context of the RETAKE trial showed that mentoring could improve fidelity and that it was valued by both mentors and mentees [5]. However, it was unclear how mentoring works in a trial context. This realist evaluation suggests mentoring helped the mentees gain confidence in their clinical and research skills. This enabled them to acknowledge when they needed further support and helped them identify possible deviations from the trial protocol. The relationship between mentor and mentees was important for the success of mentoring because mentees felt comfortable discussing the challenges they were facing with the mentors without feeling judged about their abilities.

Using realist evaluation has provided valuable insights into how trusting relationships between the mentors and mentees, which developed throughout the trial, exposed where mentees required further support to implement the intervention. Notably, the realist evaluation revealed that mentees faced greater challenges with the research-related aspects and balancing their clinical and research responsibilities than with delivering the VR itself. Additionally, mentors acted as support staff, managing the practicalities of combining research with clinical practice, which was essential for the OTs to deliver the trial intervention as intended. These insights into generative causal mechanisms may not have been exposed using other research methods [25].

Developing a collective understanding of the intervention was essential to the success of the trial. It is common for experienced OTs to make decisions in clinical practice based on their previous experiences and expert knowledge [26]. In the context of a trial, for the intervention to be delivered with fidelity, the OTs had to understand the research processes and deliver the intervention “as intended” following a predefined process. Mentors played a critical role in the development of a collective understanding by reiterating practices, and exploring, from the perspective of mentees what their challenges and fears were. This suggests that integration or collaboration between the research and the clinical team is a factor contributing to implementation fidelity, identifying instances of contamination, and development of a shared vision for trial success.

Mentoring in this trial also offered the OTs an opportunity for reflective practice. While this is an essential part of clinical practice [27] and a requirement of continuing professional development [23], it is poorly practised due to increasing workload pressures in routine care [27]. The RETAKE trial offered protected time for mentoring and reflection. The mentors also adopted a flexible and personalised approach that allowed OTs to seek advice outside the formal group mentoring sessions. This benefitted those OTs with high workloads related to the trial or participants with complex needs that needed further discussion.

The NHS constitution supports the idea of making research accessible to all patients accessing its services [28]. However, this is not always without challenges. Managing research and clinical duties was challenging for the clinical OTs, leading to barriers to delivering the intervention and threatening fidelity. This mechanism was present when the managers were not supportive of the research time because of the use of the clinical OT time on research instead of clinical duties or when the clinical demand was excessive. These are common findings in the literature that led to issues with recruitment and health professionals unaware of how to balance their research and clinical duties [29, 30]. Therefore, it is important for trials to engage all key stakeholders, including NHS managers, in the pre-trial stage to set expectations and manage responsibilities.

Overall, the mechanisms and outcomes identified align with the literature on the topic. In fact, there is evidence that engaging in mentoring leads to intervention fidelity in the context of a trial [11]. There is also evidence that when healthcare professionals receive mentoring, they become more knowledgeable and skilled, and are more likely to follow clinical guidelines [31].

There were, however, barriers associated with attending the mentoring sessions. The most common issues were conflicting work schedules (i.e., clash with clinical duties or patient visits) and technological difficulties (i.e., lack of internet or telephone). Barriers to attending the mentoring sessions reflect the reality of competing clinical and research duties. To overcome these challenges in the trial, mentors offered flexible 1-to-1 support sessions for those who could not attend group sessions or needed additional support. The mentees found this approach beneficial to complement their training needs. This aligns with the literature that supports a combined approach to mentoring (group + individual sessions) to further develop healthcare professionals’ skills [32].

Strengths and limitations

This study’s main strength is the novel approach to exploring the impact of mentoring from a realist perspective and the extensive data available to understand how mentoring supports intervention delivery in the context of a trial.

Three researchers were involved in the data analysis and synthesis. Although the findings were discussed in detail with the research team, including several mentors involved in the trial, mentees were not contacted to verify the findings from their perspective. Another limitation relates to the generalisation of the findings, which are particular to acute stroke and stroke rehabilitation services.

Implications for practice and research

Clinical OTs might benefit from having protected time to engage in group sessions to reflect on their practice to learn from their errors and improve the quality of their services within the context of a trial.

Future trials should consider embedding mentoring to aid the early identification of issues and to support therapists in delivering interventions as intended. Future research should also explore what attributes lead to mentees benefitting more from group or individual mentoring sessions to tailor the mentoring to the mentees’ needs. Future research should also examine the long-term impact of mentoring and whether increased skills and confidence leads to OTs becoming more independent in their work t.

Conclusion

This study provides further evidence on the impact of mentoring in the context of a trial, by developing a theoretical understanding of how and why mentoring works. This realist evaluation offers insight into how clinical OTs can be upskilled in VR and research procedures, improving intervention fidelity, and reducing contamination.

The evidence suggests the need to build a relationship with clinical OTs delivering trial interventions before the trial to facilitate the study set-up and identify further training needs. There is also a need for continued and open communication between mentors and mentees to address questions and build their confidence in their ability to deliver the intervention and engage in the trial.

Embedding mentoring within a clinical trial has the potential to improve intervention fidelity. This is beneficial for improving the interpretation of research outcomes and facilitating the translation of research evidence into practice.

Data availability

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

CMO:

Context-Mechanism-Outcome

ESSVR:

Early Stroke Specific Vocational Rehabilitation

NHS:

National Healthcare Service

OT:

Occupational therapist

RCT:

Randomised controlled trial

UK:

United Kingdom

VR:

Vocational rehabilitation

References

  1. Medical Research Council. Developing and evaluating complex interventions. 2019.

  2. Shahsavari H, Matourypour P, Ghiyasvandian S, Nejad M. Medical Research Council framework for development and evaluation of complex interventions: A comprehensive guidance. J Educ Health Promot [Internet]. 2020 Jan 1 [cited 2023 Nov 23];9(1). /pmc/articles/PMC7271909/.

  3. BSRM. Vocational Rehabilitation-The Way Forward. 2nd edition. BSRM Working Party Report. 2003.

  4. Bauer MS, Kirchner JA. Implementation science: what is it and why should I care? Psychiatry Res. 2020;283:112376.

    Article  PubMed  Google Scholar 

  5. Craven K, Holmes J, Powers K, Clarke S, Cripps RL, Lindley R et al. Embedding mentoring to support trial processes and implementation fidelity in a randomised controlled trial of vocational rehabilitation for stroke survivors. BMC Med Res Methodol. 2021;21(1).

  6. Holmes JA, Logan P, Morris R, Radford K. Factors affecting the delivery of complex rehabilitation interventions in research with neurologically impaired adults: a systematic review. Syst Rev. 2020;9(1).

  7. Peters DH, Adam T, Alonge O, Agyepong IA, Tran N. Implementation research: what it is and how to do it. Br J Sports Med. 2014;48(8):731–6.

    Article  PubMed  Google Scholar 

  8. Proctor EK, Powell BJ, McMillen JC. Implementation strategies: Recommendations for specifying and reporting. Implementation Science [Internet]. 2013 Dec 1 [cited 2023 Nov 23];8(1):1–11. https://implementationscience.biomedcentral.com/articles/https://doi.org/10.1186/1748-5908-8-139.

  9. Stephenson S, Kemp E, Kiraly-Alvarez A, Costello P, Lockmiller C, Parkhill B. Self-assessments of mentoring skills in Healthcare professions Applicable to Occupational Therapy: a scoping review. Occup Ther Health Care. 2022;1:21.

    Google Scholar 

  10. Doyle NW, Gafni Lachter L, Jacobs K. Scoping review of mentoring research in the occupational therapy literature, 2002–2018. Aust Occup Ther J. 2019;66(5):541–51.

    Article  PubMed  Google Scholar 

  11. Powers KE, das Nair R, Phillips J, Farrin A, Radford KA. Exploring the Association between Individual-Level Attributes and Fidelity to a Vocational Rehabilitation Intervention within a Randomised Controlled Trial. Int J Environ Res Public Health [Internet]. 2023 Mar 1 [cited 2023 Nov 23];20(6). https://pubmed.ncbi.nlm.nih.gov/36981601/.

  12. Pawson R, Nicholas T. Realistic evaluation. Evaluation. Sage; 1997.

  13. De Souza DE. Elaborating the context-mechanism-outcome configuration (CMOc) in realist evaluation: a critical realist perspective. Evaluation. 2013;19(2):141–54.

    Article  Google Scholar 

  14. Minary L, Trompette J, Kivits J, Cambon L, Tarquinio C, Alla F. Which design to evaluate complex interventions? Toward a methodological framework through a systematic review. BMC Med Res Methodol [Internet]. 2019 May 7 [cited 2024 Apr 12];19(1):1–9. https://link.springer.com/articles/https://doi.org/10.1186/s12874-019-0736-6.

  15. Byng R, Norman I, Redfern S. Using realistic evaluation to evaluate a practice-level intervention to Improve Primary Healthcare for patients with long-term Mental Illness. Evaluation. 2016;11(1):69–93.

    Article  Google Scholar 

  16. McDaniel CE, Rooholamini SN, Desai AD, Reddy S, Marshall SG. A qualitative evaluation of a clinical Faculty Mentorship Program using a Realist evaluation Approach. Acad Pediatr. 2020;20(1):104–12.

    Article  PubMed  Google Scholar 

  17. Leet A, Dennis S, Muller J, Walsh S, Bowen-Salter H, Kernot J. Demonstrating the processes and outcomes of a rural Community Mental Health Rehabilitation Service: a realist evaluation. PLoS ONE. 2021;16(11):e0260250.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Radford KA, Craven K, McLellan V, Sach TH, Brindle R, Holloway I, et al. An individually randomised controlled multi-centre pragmatic trial with embedded economic and process evaluations of early vocational rehabilitation compared with usual care for stroke survivors: study protocol for the RETurn to work after stroKE (RETAKE) trial. Trials. 2020;21(1):1–17.

    Article  Google Scholar 

  19. Wong G, Westhorp G, Manzano A, Greenhalgh J, Jagosh J, Greenhalgh T. RAMESES II reporting standards for realist evaluations. BMC Med. 2016;14(1).

  20. Westhorp G. Developing complexity-consistent theory in a realist investigation. Evaluation. 2013;19(4):364–82.

    Article  Google Scholar 

  21. Chelimsky E, Shadish W. An Introduction to Scientific Realist Evaluation. Evaluation for the 21st Century: A Handbook. 1997.

  22. Craven K, Holmes J, Powers K, Clarke S, Cripps RL, Lindley R, et al. Embedding mentoring to support trial processes and implementation fidelity in a randomised controlled trial of vocational rehabilitation for stroke survivors. BMC Med Res Methodol. 2021;21(1):203.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Wong G, Westhorp G, Greenhalgh J, Manzano A, Jagosh J, Greenhalgh T. Quality and reporting standards, resources, training materials and information for realist evaluation: the RAMESES II project. Health Serv Delivery Res. 2017;5(28):1–108.

    Article  Google Scholar 

  24. Excess treatment costs Guidance on the national management model for England. 2021 [cited 2023 Dec 11]; https://www.england.nhs.uk/commissioning/supporting-commissioners/research/supporting-and.

  25. Mingers J, Standing C. Why things happen – developing the critical realist view of causal mechanisms. Inf Organ. 2017;27(3):171–89.

    Article  Google Scholar 

  26. Thomas A, Law M. Research utilization and evidence-based practice in occupational therapy: a scoping study. Am J Occup Ther [Internet]. 2013 Jul [cited 2023 Nov 28];67(4). https://pubmed.ncbi.nlm.nih.gov/23791325/.

  27. Knightbridge L. Reflection-in-practice: a survey of Australian occupational therapists. Aust Occup Ther J. 2019;66(3):337–46.

    Article  PubMed  Google Scholar 

  28. Department of Health. The NHS Constitution the NHS belongs to us all. London; 2013.

  29. Sitzia J. Barriers to research utilisation: the clinical setting and nurses themselves. Intensive Crit Care Nurs. 2002;18(4):230–43.

    Article  PubMed  Google Scholar 

  30. Borschmann R, Patterson S, Poovendran D, Wilson D, Weaver T, working for the Mental Health Research Network. Influences on recruitment to randomised controlled trials in mental health settings in England: A national cross-sectional survey of researchers. BMC Med Res Methodol [Internet]. 2014 Feb 17 [cited 2023 Nov 28];14(1):1–11. https://bmcmedresmethodol.biomedcentral.com/articles/https://doi.org/10.1186/1471-2288-14-23.

  31. Abdullah G, Rossy D, Ploeg J, Davies B, Higuchi K, Sikora L, et al. Measuring the effectiveness of mentoring as a knowledge translation intervention for implementing empirical evidence: a systematic review. Worldviews Evid Based Nurs. 2014;11(5):284–300.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Ploeg J, Witt L De, Hutchison B, et al. 2008 undefined. Evaluation of a research mentorship program in community care. Eval Program Plann. 2008;31(1):22?33.

Download references

Acknowledgements

We would like to thank the occupational therapists involved in the delivery of the RETAKE trial for their involvement in the study.

Funding

This study is funded by the NIHR HTA programme (ref: 15/130/11). The views expressed herein are those of the authors, not necessarily the NIHR, the Department of Health and Social Care or the NHS.

Author information

Authors and Affiliations

Authors

Contributions

K.R, B.D.P, J.M and K.P conceived the study and designed the protocol for the realist evaluation. B.D.P developed the data extraction forms. B.D.P, J.M, and K.P conducted the data analysis and synthesis. All authors (K.R, B.D.P, J.M, K.P, K.C, J.H, J.P, R.T) engaged in group discussions to develop the initial programme theory, met to synthesise the research findings, and read and approved the final version.

Corresponding author

Correspondence to Blanca De Dios Pérez.

Ethics declarations

Ethics approval and consent to participate

The RETAKE Trial received full Ethical approval through the East Midlands–Nottingham 2 Research Ethics Committee on the 5th February 2018 (Ref: 18/EM/0019) and the NHS Health Research Authority. The study involved secondary data analysis, and participants consented to participate in the research.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Auths’ contributions

K.R, B.D.P, J.M and K.P conceived the study and designed the protocol for the realist evaluation. B.D.P developed the data extraction forms. B.D.P, J.M, and K.P conducted the data analysis and synthesis. All authors (K.R, B.D.P, J.M, K.P, K.C, J.H, J.P, R.T) engaged in group discussions to develop the initial programme theory, met to synthesise the research findings, and read and approved the final version.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Supplementary Material 2

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

De Dios Pérez, B., Merchán-Baeza, J.A., Powers, K. et al. How does mentoring occupational therapists improve intervention fidelity in a randomised controlled trial? A realist evaluation. BMC Med Res Methodol 24, 142 (2024). https://doi.org/10.1186/s12874-024-02269-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12874-024-02269-4

Keywords