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Protocol for a hybrid II study exploring the feasibility of delivering, evaluating, and implementing a self-management programme for people with neuromuscular diseases at a specialist neuromuscular centre

Abstract

Background

Self-management support (SMS) forms a central pillar in the management of long-term conditions. It is firmly aligned with UK health policy but there is a paucity of evidence exploring how it is enacted in the context of neuromuscular diseases (NMDs). Bridges is a SMS programme originally developed in stroke. A new version of the programme (Neuromuscular Bridges) has recently been co-designed with people with lived experience of NMD and requires evaluation.

The implementation of SMS is inherently complex with potential barriers at the level of the patient, provider, and wider organisation. The success of implementing programmes can be highly dependent on context, indicating a rationale for considering implementation determinants at an early stage. This study aims to explore the feasibility of (1) delivering, (2) evaluating, and (3) implementing Neuromuscular Bridges at a specialist neuromuscular centre.

Methods

This study employs a hybrid II design underpinned by Normalisation Process Theory (NPT), which has been used prospectively to inform the implementation plan and will also inform the analysis. The feasibility of delivering, evaluating, and implementing Neuromuscular Bridges will be assessed using a single-arm pre-post design. In terms of delivery and evaluation, we will explore acceptability, demand within the service, performance of outcome measures, recruitment, and retention.

Implementation strategies have been selected from a refined taxonomy of strategies, mapped to NPT, and targeted at known barriers and facilitators at the specialist centre that were identified from preliminary stakeholder engagement activities. The impact of the strategy bundle on fidelity, acceptability, appropriateness, and adoption will be evaluated using qualitative interviews, administrative data, surveys, and a notes audit.

Conclusions

This this study will provide valuable feasibility data on a co-designed SMS programme for people with NMDs that will be used to inform a larger implementation study, requirements for embedding it in a specialist centre, and rollout to other specialist centres. Using hybrid methodology at the feasibility stage is unusual and this study will provide important insights into the usefulness of taking this approach at this point in the research pipeline.

Trial registration

ISRCTN Trial ID: ISRCTN14208138. Date registered: 18/08/2021.

Peer Review reports

Introduction

Neuromuscular disease (NMD) is a broad term encompassing a wide range of conditions that impact on the functioning of muscles. Many NMDs are lifelong conditions, and common symptoms include progressive muscle weakness, degeneration and wasting, and sensory impairment. Individually, many NMDs are considered rare diseases, affecting less than 5 in 100,000 people [1]. However, collectively the prevalence of NMD is significant, affecting approximately 70,000 people in the UK [2].

Living with NMD can also result in significant psychological burden. Depressive symptoms [3], reduced social participation [4, 5], perceived loss of control [6], and negative effects on relationships [7] have all been reported. Fatigue is a common presenting symptom [8, 9], and people with NMDs can experience distress from the challenges of obtaining a diagnosis, and the uncertainty surrounding disease progression [6]. The multi-system nature of these disorders, and their need for complex long-term multidisciplinary care, acts as a driver to developing long-term management strategies for individuals with these conditions [10].

Self-management support (SMS) is a chronic care model which forms a central pillar in the management of many long-term conditions and is firmly aligned with UK health policy [11]. It has been frequently associated with statistically and clinically significant improvements in conditions such as diabetes and hypertension [12], and there is a growing body of evidence to support its use in neurological conditions [13,14,15,16,17]. Despite this, SMS has had very little exploration in people living with NMDs. The constantly changing, complex, and unpredictable nature of NMDs is likely to result in a different set of self-management priorities for these individuals, as they try to adapt to an uncertain future.

The rarity of many NMDs, combined with their progressive, lifelong nature, means that the setup of the clinical services that support them are very different to other neurological settings. Neuromuscular care is provided through a hub and spoke model via specialist services. Within these specialist services patients are seen annually or bi-annually by a range of clinicians, including specialist clinical neurologists, neurophysiologists, neuropathologists, neurophysiotherapists, and specialist nurses. This care model is different to single-onset conditions such as stroke or traumatic brain injury, which have a relatively stable disease trajectory, and where patients have an intensive period of clinical input before being discharged. Conversely, people with NMD will usually remain under the care of a specialist centre indefinitely, due to the often progressive nature of neuromuscular conditions, and subsequent mounting care needs over the lifespan. This provides a clear rationale for developing our understandings of how SMS is enacted in this population and understanding the nuances of the context in which it is delivered.

Bridges is an individualised, evidence-based SMS programme that has been developed for people living with long-term conditions such as stroke and traumatic brain injury [14, 18]. In January 2020, a specially adapted version of Bridges specific to people living with NMDs was launched, Neuromuscular Bridges (NM Bridges) [19]. For the first time, the Bridges programme will contain a co-designed digital support application alongside its usual co-designed patient workbook. The setup of neuromuscular care in the UK is a new service structure for Bridges. The feasibility of NM Bridges within this service structure requires exploration, as will the acceptability and utility of the new digital format.

Understanding implementation determinants of the intervention should be considered as early as possible, and preferably in the trial design stage [20]. By attending to implementation processes, likely to be relevant to transitioning the intervention to practice settings, potential issues can be anticipated at the level of the patient, clinician, and the organisation delivering the intervention, with an appreciation for the political and financial environment, as well as the wider societal context [21]. This is especially important when considering SMS, which involves pathways of care with interdisciplinary input, behaviour change from multiple stakeholders, and can be highly influenced by environmental factors, as well as social determinants such as ethnicity or socio-economic status [22].

Hybrid trials, first proposed by Curran et al. [23], aim to simultaneously change practice and establish intervention feasibility/efficacy/effect, by taking a dual focus of testing both clinical and implementation outcomes. There is a growing body of evidence to suggest that hybrid designs speed the translation of knowledge into practice [24], and they have been employed in a wide range of different healthcare settings and patient populations, including breast cancer [25], mental health [26, 27], chronic pain [28], dementia [29], and critical care [30]. This mixed methods study will employ a “hybrid II approach”. The dual focus afforded by this design will allow us to test the feasibility of delivering and evaluating a new SMS intervention, NM Bridges, whilst simultaneously testing the feasibility of a combination of implementation strategies, from here on in referred to as an “implementation strategy package”.

Objectives

  1. (1)

    To explore the feasibility of delivering and evaluating NM Bridges through a single, specialist service:

    1. (a)

      Feasibility of delivery of the NM Bridges intervention

      • Explore acceptability of NM Bridges (to clinicians and participants) when delivered in one-off interactions (measured through qualitative interviews and analysis of patient reported outcome measures).

      • Explore demand for NM Bridges within the service (explored through semi-structured interviews, uptake/engagement of clinicians with the intervention).

    2. (b)

      Feasibility of evaluation

      • Examine the acceptability and performance of candidate outcome measures (measured through semi-structured interviews, analysis of the collected quantitative data).

      • Explore participant recruitment and retention (explored through administrative data and assessment of completeness/quality of collected data).

  2. (2)

    To evaluate the feasibility and preliminary impact of an implementation strategy “package” to implement NM Bridges at a specialist neuromuscular centre:

    • Monitor fidelity of the implementation process (measured through educational team meetings).

    • Monitor intervention fidelity (measured through session observation, a fidelity checklist, and educational meetings).

    • Explore acceptability of the implementation strategy package to clinicians at the specialist centre (explored through semi-structured interviews, uptake/engagement of clinicians with the intervention, implementation outcome instruments).

    • Identify barriers and facilitators to the implementation strategy package (explored through semi-structured interviews, implementation outcome instruments).

    • Explore appropriateness and practicability of the implementation strategy package to the specialist clinical service (explored through semi-structured interviews, uptake/engagement of clinicians with the intervention, implementation outcome instruments).

    • Monitor effect of implementation strategy package on adoption (measured through semi-structured interviews, administrative data).

Methods

Participants and setting

The study will take place at Queen Square Centre for Neuromuscular Diseases, which is a research and clinical centre that specifically focuses on genetic and acquired NMDs. The service at Queen Square employs a team of specialist health professionals, including consultant neurologists, therapists, and nurses, who have expertise in diagnosing and managing muscle and nerve conditions. They offer a comprehensive range of specialist multidisciplinary services and clinics. The centre provides clinical services for over 5000 patients per year and is based in the National Hospital for Neurology, Queen Square, UCLH Foundation NHS Trust.

Participants will be eligible if they are as follows: (i) age > 18 years; (ii) currently a patient at Queen Square Centre for Neuromuscular Diseases or UCLH; (iii) have a diagnosis of neuromuscular disease from a neurologist at the Queen Square Centre for Neuromuscular Diseases; (iv) have the capacity to give informed consent to participate in the research. This study has been registered with the ISRCTN registry (trial ID: ISRCTN14208138).

Study design

We will be using an embedded experimental mixed methods design, to address the research questions, as this is an often used design when evaluating health services research [31]. An embedded design, where one data set provides a supportive secondary role to the other, is frequently used when researchers need to include a qualitative component within a quantitative study. The use of qualitative methods post-intervention will enable us to follow up on the participants’ experiences of the intervention, and the experiences of staff delivering the intervention [32]. This approach will enable us to gain an understanding of how the intervention fits in with the day to day workings of the clinical centre, the perceived value it provides to patients, and provide data on potential barriers and facilitators to the uptake of the intervention [33].

The feasibility of the intervention will be tested through a single-arm pre-post design, with participants completing outcome measures before, directly after, and 3 months post-intervention. A randomised control trial, which is a higher design in the traditional hierarchy of evidence, was considered for this work. However, it was felt that randomisation at the patient level could be problematic due to the potential for intervention contamination when clinicians are transitioning back and forth between providing (a) routine care or (b) the intervention, for different patients.

It is now widely accepted that addressing the challenge of implementing evidence-based interventions into routine practice is of fundamental importance to the global health community, and implementation science is regarded as a vital tool in closing the evidence-to-practice gap [20]. The consideration of implementation components in research is not new. For example, Bowen et al. [34] recommend employing feasibility studies to study general areas such as acceptability, adaptation, and demand, which clearly have overlap with established implementation outcomes. However, a consideration for implementation components in feasibility studies is not always reflected in the literature. In this study, we propose using a hybrid methodology to permit a dual focus on both feasibility testing of the intervention, and feasibility testing of the implementation strategy package. It is hypothesised that this design, will allow us to interrogate the implementation aspects of this trial in a more structured, coherent, and rigorous way, whilst simultaneously gathering valuable data on the clinical intervention. At the end of the study, we will reflect on the value of using this approach at the feasibility stage for future implementation studies.

Feasibility data from this study will be used to inform future implementation efforts in the form of a cluster randomised study, as ultimately implementation questions would benefit from more sites to include different systems and infrastructure, to address potential limits on generalisability. Prior to setting this up, there will be scoping work required at potential sites to understand the nuances of delivery that may differ. This will allow us to collaboratively design the trial with the partner sites to explore the implementation and ensure fidelity within the different contexts. This exploratory study will provide information for us to refine delivery of the intervention at “treating” sites, for comparison with control sites where usual treatment will be provided. We are aware that there are limitations of the pre-post design and that missing information would need to be substituted/estimated from other available studies; or estimated from data collected later on, for example during an internal pilot phase of a definitive cluster RCT.

Theoretical underpinning

This study design has been informed by Normalisation Process Theory (NPT) [35], a socio-behavioural theory focused on the “social organisation of the work (implementation), of making practices routine elements of everyday life (embedding) and of sustaining embedded practices in their social contexts (integration)” [35]. It is frequently used in implementation research and explores factors influencing sustainable changes in practice. As implementation of SMS is inherently complex and represents a move away from usual ways of working, NPT will provide a framework through which to assess facilitators and barriers to the incorporation of NM Bridges into routine practice, to the point of becoming “normalised” within the setting [36]. In this study, NPT will be used to (1) provide focus on the everyday work of clinicians to provide explanation to how the intervention is embedded, (2) give insight into how the intervention fits with the procedures involved in usual care, and (3) explain variations in implementation processes (not just focussing on barriers and facilitators). NPT has been employed in previous studies exploring the implementation of self-management support and complex health-care interventions, even at the feasibility stage [14, 36,37,38,39,40]. In this study, it has been invoked prospectively to inform the study design, it will be used in the analysis to identify where the intervention is addressing potential issues in implementation, and it has been used to develop materials such as the topic guides for qualitative interviews exploring implementation factors.

Stakeholder engagement

Patient and public involvement (PPI), and wider stakeholder engagement, has been a central focus of this body of work since its inception, ensuring that the research is focussed on issues that are relevant and meaningful to people with NMD, and ensuring they have a say in how the research is designed, undertaken, and disseminated. At the beginning of the project, a PPI group was formed which included 8 people with NMD from the neuromuscular clinics at the specialist centre. The group have been involved in several design aspects of the study, including the content of the topic guides, the selection of outcome measures, and the wording and content of the participant documentation. The PPI group has supported the applications for ethical approval and continue to be a valuable resource for understanding the patient perspective for this body of research.

In order to design an implementation strategy package that was contextually sensitive, it was important to obtain data related to the experiences and preferences of people working in the target setting [41]. As such, preliminary work with key stakeholders in the team was carried out at an early stage in the trial design. This involved three meetings with the core team of six clinicians, and a mix of nursing staff and allied health professionals. By actively engaging clinicians at the specialist centre at this stage, consulting them on what the potential barriers to implementing NM Bridges might be, and the strategies that were required to address them, it was hoped that the relevance, transparency, and usefulness of the implementation plan could be enhanced. Crucially, these factors have been linked with both positive implementation and clinical outcomes [42,43,44]. As the clinical team were the intended knowledge-users, research suggests that this “front-end” gathering of opinions may result in the selection of implementation strategies that are more appropriate and feasible in the intended system and organisational context [41, 43]. Finally, by establishing a culture of collaboration and involvement with the clinical team early on, it was hoped that a sense of “shared ownership” would be created, subsequently enhancing engagement with the evaluation of NM Bridges.

This stakeholder engagement work played a significant part in the development of the study protocol. The study implementation strategies were selected based on the barriers and facilitators described by clinicians at the centre, as were decisions surrounding preferences for communication, and the recruitment process.

NM Bridges intervention

The NM Bridges intervention is an individualised, person-centred self-management approach which is delivered to patients by trained clinicians within clinical interactions as part of routine practice [45]. It aims to support the integration of self-management support into clinical appointments through professional interactions and treatments. The approach is theoretically underpinned by Social Cognitive Theory [46], which describes the influence of individual experiences, the actions of others, and environmental factors on individual health behaviours. Self-efficacy, which is routinely associated with improved self-management outcomes [47], forms a critical construct within the approach. However, Bridges is not just concerned with concepts such as personal agency and learning theories. As the approach has evolved, it has increased its emphasis on understanding how organisational processes such as standardised goal setting methods and outcome measures may act as barriers to supporting self-management [48]. This focus on the effect of structural issues is coherent with emerging understandings that emphasise the context-dependent nature of self-management programmes, and the notion that the delivery of complex interventions, i.e. healthcare interventions that include several active separate critical components, is further complicated when they are situated within complex settings [49,50,51].

Fundamental to the Bridges approach is a bespoke, interdisciplinary training workshop for healthcare professionals. The workshops are tailored according to the clinical setting and clinical caseload and focus on reshaping communication styles, using language modifications and facilitation techniques that can help to promote self-management in a non-didactic way. The training provides clinicians with strategies to help patients to build capability and confidence to pursue quality of life goals and emphasises the importance of creating an environment which is inclusive, open, and collaborative [52]. During the Bridges training, clinicians are equipped to support patient self-management using seven key principles (Table 1).

Table 1 Seven key principles of the Bridges self-management programme

Co-creation and co-design constitute key principles in the development and delivery of successful self-management interventions, and Bridges has longstanding expertise in working to these principles [53]. A central pillar of the approach is the emphasis placed on the co-design of context-specific peer support tools, such as the NM Bridges patient workbooks. For the new NM Bridges intervention, a series of co-deign workshops, interviews, and focus groups were conducted with patients with NMDs, their families, and healthcare professionals from the specialist neuromuscular service. This led to the development of a co-designed workbook and digital app to support self-management, which the participants named “Adapting to life with a neuromuscular condition”. These resources contained patient stories, exercise tips, advice for family and friends, clinicians answering frequently asked questions, useful resources, and space to reflect and record progress.

The process of intervention tailoring to the organisational and population context also included co-designing the training workshop for clinicians. Two sessions were held involving people with lived experience of NMD and a multidisciplinary sample of staff from the specialist centre. The co-design process explored the priorities of these stakeholders and explored context-specific considerations for NM Bridges that were subsequently woven into the training package. For example, strategies for maximising the potential of the intervention within a one-off session, as in previous studies the Bridges intervention was delivered as part of a series of rehabilitation sessions [14, 54, 55]. Practically, in this study NM Bridges will be delivered to patients as part of routine therapy and nursing appointments at the specialist centre, with the co-designed resources reinforcing the intervention content.

Implementation strategy procedures

An implementation strategy package will be employed concurrently with the intervention as part of the hybrid II design. This has been informed by the ImpRes framework [56], which provides a systematic step-by-step approach to designing implementation research. Using this framework has ensured that the rationale for the selection and tailoring of the implementation strategies was both robust and appropriate. The framework guided tailoring of the study-specific educational material, and the process for systematic identification of implementation determinants. The choice of strategies was informed by known barriers and facilitators, identified through pre-trial consultation with stakeholders within the specialist service. The strategies were selected from the Cochrane EPOC Taxonomy of Implementation Strategies [57] and are established elsewhere in the literature [58,59,60]. This selection and tailoring to a specific context has key face validity [20], and a Cochrane review found that strategies tailored to contextual needs were more effective in improving professional practice than no intervention or dissemination of guidelines [61].

Implementation champions will be identified through the training process to support staff who are less familiar with self-management interventions. They will have one to one meetings with the lead researcher as required, to discuss any challenges and identify where the lead researcher may need to provide additional support to staff delivering the intervention. It is not anticipated that this will require significant additional time, but they will be well placed “on the ground” to be detect if any other colleagues are struggling, through usual daily interactions of the team.

Further description of the implementation strategies, along with their theoretical basis, the proposed measurement techniques, and mapping to known barriers and facilitators to implementation identified in earlier stakeholder engagement work can be found in Tables 2 and 3. The tables also describe how strategies have been mapped to NPT. For example, how iterative development of educational material and the co-design of the educational package for clinicians is anticipated to create a sense of “collective action”. Specification of individual implementation strategies is highly recommended by the Expert Recommendations for Implementing Change (ERIC) framework [59, 62], and specification of the individual strategies can be found in Table 4.

Table 2 Barriers identified in preliminary stakeholder engagement activities
Table 3 Facilitators identified in preliminary stakeholder engagement activities 
Table 4 Specification of implementation strategies

Fidelity

Fidelity of NM Bridges will be assessed through ten session observations by the research team, a self-reported fidelity checklist to be completed by clinicians after each session, and educational meetings/discussions. Ten intervention sessions will be video recorded and reviewed by the research team, who will evaluate the session against pre-determined fidelity markers. Sessions for observation/recording will be selected at random. All session observations and recordings will only take place with the informed consent of both the patient and clinician.

Outcomes

Feasibility of the clinical intervention

Outcome measures related to the intervention will be completed at baseline, directly after receiving the intervention and 3 months afterwards. There will be the option for outcome measures to be completed remotely, for participant convenience, and to reduce risk associated with the COVID-19 pandemic. The outcome measures will focus on the intervention’s impact on health-related quality of life (EQ-5D [67]), self-efficacy (GSES [68]), mood [General Health Questionnaire (GHQ [69])], and participation (Ox-PAQ [70]). A profile of the broad impacts of the intervention will be measured through the Health Education Impact Questionnaire (heiQ) [71], which covers areas that patients, clinicians, policymakers, and researchers regard as important outcomes of patient education programs for people with long-term conditions. The person-centredness of the intervention will be measured through the Client-Centred Care Questionnaire [72], and the and Patient Assessment of Chronic Illness Care (PACIC) [73].

It is recommended that patient engagement is considered in the selection of outcome measurements [74], and as such, the outcome measures were selected based upon discussion with the project’s PPI group, who emphasised the need to consider the biopsychosocial impact of NMD, not just the physical elements. Once the views of people with lived experience of NMD had been obtained, measures were selected based on literature providing recommendations on the use of outcome measures for self-management interventions [22, 75], rare neurological conditions [76], and person-centred care [77, 78].

Feasibility of implementation

As recommended by the ImpRes framework [56], and Proctor et al. [79], a clear mechanism for measuring the effect of the implementation strategies on pre-defined implementation outcomes has been established. A mixed methods approach will also be employed for this aspect of the study. Quantitative measures were chosen from the Implementation Outcome Repository, based on a systematic review by Khadjesari et al. [80]. These will include (a) the Acceptability of Intervention Measure (AIM) [81], (b) Intervention Appropriateness Measure (IAM) [81], and (c) Feasibility of Intervention Measure (FIM) [81] which are four-item measures of implementation outcomes that are often considered “leading indicators” of implementation success [79]. We will also use the NoMAD scale [82, 83] which is a pragmatic, psychometrically tested instrument that measures implementation activities related to NPT. Table 4 describes the theoretical basis and techniques that will be used to measure the impact of the main implementation strategies on implementation outcomes.

Qualitative methods will be employed concurrently to gain a deeper insight into the opinions, thoughts, and feelings on NM Bridges of participants. Ten patients will be recruited for semi-structured interviews to explore their experiences of receiving NM Bridges. Six staff will be interviewed at the end of the intervention phase to investigate determinants of implementation behaviour and explore experiences of delivering NM Bridges. Ten patients is a pragmatic number in terms of funding, staffing, and time frame as this study forms part of a PhD project. There will be six staff interviews as this is how many staff members have been trained in the approach and subsequently delivering the intervention. The topic guide for patients has been informed by previous qualitative work into patient perspectives on self-management [84]. The topic guide for clinicians has been designed by mapping questions to the four constructs of NPT. Interviews will be audio recorded and transcribed by an external service, and a reflexive thematic analysis undertaken [85].

Planned sample size and analyses

A target sample of 60 people with NMD will be recruited through the clinical service and neurology clinics at the Centre for Neuromuscular Diseases. A sample size of at least 30 is recommended for early feasibility studies, but a larger target has been set to account for potential dropouts and for secondary exploration of the performance and suitability of the outcome measures. We will collect data on screening, recruitment, and drop out reasons for all participants. The recruitment rate will be calculated from the total number of participants recruited over the recruitment window. This will be expressed as numbers recruited per month. Descriptive statistics will be used to describe averages at baseline and following the intervention. Continuous data will be presented as a mean, with standard deviation or median and interquartile range, as appropriate. For categorical/ordinal data, we will calculate frequencies and percentages. The effect of the intervention will be explored by calculating the adjusted Cohen’s d effect size statistic for continuous outcome measures or the adjusted Hedge’s G for ordinal outcomes [86].

Qualitative data in the form of semi-structured interviews will be audio recorded and transcribed verbatim and a reflexive thematic analysis will be conducted. The transcripts will be entered into the qualitative software management programme NVivo V.12, to facilitate data management. The qualitative analysis will be conducted by one researcher (LL) and discussed/reflected in the wider group of researchers and with the PPI advisory group (peer review). There is also a plan for independent double-coding of data.

The principal analysis approach will be deductive, answering to the aims of interviewing, i.e. to explore the participants’ experiences of the intervention and the experiences of staff delivering the intervention, with the possibility for inductive development of any further codes/themes should these be identified. There will be an assessment in how far qualitative findings match the results from quantitative measures (intervention outcomes, implementation measures). Qualitative findings will directly inform design decisions of the intervention and implementation strategies for a follow-on study.

In terms of success criteria, the study findings will be assessed and judged in context, i.e. recruitment rate in relation to patient volume of the service, and intervention effect by comparison with other positive trials of self-management interventions in other clinical populations.

Dissemination

We will use a range of approaches to disseminate our findings. The results and analysis of the study will be disseminated to service users through publication and on the Muscular Dystrophy UK (MDUK) website. MDUK is the main charity for people with muscle wasting conditions in the UK. The study findings will also be disseminated to the other major NMD charities to share with their members and followers. The research team will be disseminating the results of the study through videoblogging on social media, to make the findings more accessible to individuals who prefer to interact using these platforms. Academic dissemination will include publications and presentations to researchers and healthcare professionals, and there will be an emphasis on service-user collaboration and public engagement in dissemination strategies. We will also work with the team at the specialist centre to develop strategies for disseminating findings and meet with them to discuss the study’s implications and next steps.

Availability of data and materials

Not applicable.

References

  1. Programme GE. Rare disease, genomics and the future - Genomics Education Programme [Internet]. Available from: https://www.genomicseducation.hee.nhs.uk/glossary/rare-disease/. [Cited 2021 Feb 20].

  2. Pohlschmidt M, Meadowcroft R. Muscle disease: the impact- incidence and prevalence of Neuromuscular Conditions in the UK. London; 2010.

  3. Winblad S, Jensen C, Månsson J-E, Samuelsson L, Lindberg C. Depression in Myotonic Dystrophy type 1: clinical and neuronal correlates. Behav Brain Funct. 2010;6(1):25 Available from: http://behavioralandbrainfunctions.biomedcentral.com/articles/10.1186/1744-9081-6-25. [Cited 2021 Feb 20].

    Google Scholar 

  4. Grootenhuis MA, de Boone J, van der Kooi AJ. Living with muscular dystrophy: health related quality of life consequences for children and adults. Health Qual Life Outcomes. 2007;5(1):31 Available from: https://hqlo.biomedcentral.com/articles/10.1186/1477-7525-5-31. [Cited 2021 Feb 20].

    Google Scholar 

  5. Elsenbruch S, Schmid J, Lutz S, Geers B, Schara U. Self-reported quality of life and depressive symptoms in children, adolescents, and adults with Duchenne muscular dystrophy: a cross-sectional survey study. Neuropediatrics. 2013;44(5):257–64.

    Google Scholar 

  6. Boström K, Ahlström G. Living with a hereditary disease: persons with muscular dystrophy and their next of kin. Am J Med Genet. 2005;136 A(1):17–24 Available from: https://pubmed.ncbi.nlm.nih.gov/15889411/. [Cited 2021 Feb 20].

    Google Scholar 

  7. Boström K, Nätterlund BS, Ahlström G. Sickness impact in people with muscular dystrophy: a longitudinal study over 10 years. Clin Rehabil. 2005;19(6):686–94 Available from: https://pubmed.ncbi.nlm.nih.gov/16180606/. [Cited 2021 Feb 20].

    Google Scholar 

  8. D. M, S. CGTLJ, Weiss. Assessment and management of fatigue in neuromuscular disease. Am J Hosp Palliat Care. 2010;27. https://doi.org/10.1177/1049909109358420.

  9. De Vries JM, Hagemans MLC, Bussmann JBJ, Van Der Ploeg AT, Van Doorn PA. Fatigue in neuromuscular disorders: focus on Guillain-Barré syndrome and Pompe disease. Cell Mol Life Sci. 2010;67:701–13 Available from: /pmc/articles/PMC2824125/. [Cited 2021 Feb 20].

    Google Scholar 

  10. Walklet E, Muse K, Meyrick J, Moss T. Do psychosocial interventions improve quality of life and wellbeing in adults with neuromuscular disorders? A systematic review and narrative synthesis. J Neuromuscul Dis. 2016;3:347–62. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5123628/. [Cited 2020 Mar 9].

  11. National Health Service (NHS). NHS Long term plan [Internet]. NHS England. 2019. Available from: https://www.longtermplan.nhs.uk/. [Cited 2020 Sep 27].

  12. Reynolds R, Dennis S, Hasan I, Slewa J, Chen W, Tian D, et al. A systematic review of chronic disease management interventions in primary care. BMC Fam Pract. 2018;19.

  13. Lau SC, Bhattacharjya S, Fong MW, Nicol GE, Lenze EJ, Baum C, et al. Effectiveness of theory-based digital self-management interventions for improving depression, anxiety, fatigue and self-efficacy in people with neurological disorders: a systematic review and meta-analysis. J Telemed Telecare. 2020:1357633X2095512 Available from: http://journals.sagepub.com/doi/10.1177/1357633X20955122. [Cited 2021 Feb 22].

  14. Mäkelä P, Jones F, de Sousa de Abreu MI, Hollinshead L, Ling J. Supporting self-management after traumatic brain injury: codesign and evaluation of a new intervention across a trauma pathway. Health Expect. 2019;22(4):632–42 Available from: https://onlinelibrary.wiley.com/doi/abs/10.1111/hex.12898. [Cited 2020 Sep 3].

    Google Scholar 

  15. Fryer CE, Luker JA, McDonnell MN, Hillier SL. Self management programmes for quality of life in people with stroke. Cochrane Database Syst Rev. 2016;(8):CD010442 Available from: http://www.ncbi.nlm.nih.gov/pubmed/27545611. [Cited 2019 Jan 3].

  16. Kidd T, Carey N, Mold F, Westwood S, Miklaucich M, Konstantara E, et al. A systematic review of the effectiveness of self-management interventions in people with multiple sclerosis at improving depression, anxiety and quality of life. PLoS One. 2017;12(10):e0185931 Available from: https://dx.plos.org/10.1371/journal.pone.0185931. [Cited 2021 Feb 22].

    Google Scholar 

  17. Kessler D, Liddy C. Self-management support programs for persons with Parkinson’s disease: an integrative review. Patient Educ Couns. 2017;100.

  18. Jones F, Mandy A, Partridge C. Changing self-efficacy in individuals following a first time stroke: preliminary study of a novel self-management intervention. Clin Rehabil. 2009;23(6):522–33 Available from: https://pubmed.ncbi.nlm.nih.gov/19403556/. [Cited 2020 Sep 3].

    Google Scholar 

  19. Bridges. Adapting to life with a neuromuscular condition [Internet]. 2019. Available from: https://nmd.bridgesselfmanagement.org.uk/. [Cited 2021 Feb 22].

  20. Brownson RC, Colditz GA, Proctor EK. Dissemination and implementation research in health: translating science to practice, second edition. Dissemination and Implementation Research in Health: Translating Science to Practice, Second Edition. 2017.

  21. Grol R, Bosch M, Wensing M. Development and selection of strategies for improving patient care [Internet]. Improving Patient Care. 2013. p. 165–84. (Wiley Online Books). https://doi.org/10.1002/9781118525975.ch10.

  22. De Longh A. A practical guide to self-management support : key components for successful implementation / written by Anya de longh, Petrea Fagan, Julie Fenner and Lisa Kidd. 2015.

  23. Curran GM, Bauer M, Mittman B, Pyne JM, Stetler C. Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012;50(3):217–26 Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3731143/pdf/nihms480660.pdf. [Cited 2019 Jul 24].

    Google Scholar 

  24. Brown CH, Curran G, Palinkas LA, Aarons GA, Wells KB, Jones L, et al. An overview of research and evaluation designs for dissemination and implementation. Annu Rev Public Health. 2017;38:1–22.

    Google Scholar 

  25. Beidas RS, Paciotti B, Barg F, Branas AR, Brown JC, Glanz K, et al. A hybrid effectiveness-implementation trial of an evidence-based exercise intervention for breast cancer survivors. J Natl Cancer Inst - Monogr. 2014;2014(50):338–45.

    Google Scholar 

  26. Santesteban-Echarri O, Hernández-Arroyo L, Rice SM, Güerre-Lobera MJ, Serrano-Villar M, Espín-Jaime JC, et al. Adapting the brief coping cat for children with anxiety to a group setting in the Spanish Public Mental Health System: a Hybrid Effectiveness-Implementation Pilot Study. J Child Fam Stud. 2018;27(10):3300–15. https://doi.org/10.1007/s10826-018-1154-9.

    Article  Google Scholar 

  27. Cluxton-Keller F, Williams M, Buteau J, Donnelly CL, Stolte P, Monroe-Cassel M, et al. Video-delivered family therapy for home visited young mothers with perinatal depressive symptoms: quasi-experimental implementation-effectiveness hybrid trial. JMIR Ment Heal. 2018;5(4):e11513.

    Google Scholar 

  28. Palermo TM, de la Vega R, Murray C, Law E, Zhou C. A digital health psychological intervention (WebMAP Mobile) for children and adolescents with chronic pain: results of a hybrid effectiveness-implementation stepped-wedge cluster randomized trial. Pain. 2020;161(12):2763–74 Available from: https://journals.lww.com/pain/Fulltext/2020/12000/A_digital_health_psychological_intervention.12.aspx. [Cited 2021 Nov 3].

    Google Scholar 

  29. Clemson LM, Laver K, Rahja M, Culph J, Scanlan J, Day S, et al. Implementing a reablement intervention, ‘Care of People with dementia in their Environments (COPE)’: a hybrid implementation-effectiveness study. Gerontologist. 2020; Available from: https://academic.oup.com/gerontologist/advance-article/doi/10.1093/geront/gnaa105/5893197. [Cited 2020 Sep 17].

  30. Ross Perfetti A, Peifer H, Massa S, Di Taranti LJ, Choudhary M, Collard M, et al. Mixing beyond measure: integrating methods in a hybrid effectiveness–implementation study of operating room to intensive care unit handoffs. J Mixed Methods Res. 2020;14(2):207–26 Available from: http://journals.sagepub.com/doi/10.1177/1558689819844038. [Cited 2020 Sep 28].

    Google Scholar 

  31. Mertens DM. Mixed Methods Design in Evaluation. Mixed Methods Design in Evaluation: SAGE Publications, Inc; 2018.

    Google Scholar 

  32. Creswell J, Clark J, Gutmann V. An expanded typology for classifying mixed methods research into designs. Mix Methods Read. 2008:159–96 Available from: http://www.corwin.com/upm-data/19291_Chapter_7.pdf. [Cited 2020 Sep 9].

  33. Southam-Gerow MA, Dorsey S. Qualitative and mixed methods research in dissemination and implementation science: introduction to the special issue. J Clin Child Adolesc Psychol. 2014;43(6):845–50 Available from: https://www.tandfonline.com/doi/abs/10.1080/15374416.2014.930690. [Cited 2020 Sep 9].

    Google Scholar 

  34. Bowen DJ, Kreuter M, Spring B, Cofta-Woerpel L, Linnan L, Weiner D, et al. How We Design Feasibility Studies [Internet]. Vol. 36, American Journal of Preventive Medicine. NIH Public Access; 2009. p. 452–7. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2859314/. [Cited 2020 Sep 28].

  35. May CR, Mair F, Finch T, MacFarlane A, Dowrick C, Treweek S, et al. Development of a theory of implementation and integration: Normalization Process Theory. Implement Sci. 2009;4(1):29 Available from: http://implementationscience.biomedcentral.com/articles/10.1186/1748-5908-4-29. [Cited 2020 Sep 3].

    Google Scholar 

  36. May CR, Cummings A, Girling M, Bracher M, Mair FS, May CM, et al. Using Normalization Process Theory in feasibility studies and process evaluations of complex healthcare interventions: a systematic review. Implement Sci. 2018;13(1):1–27.

    Google Scholar 

  37. Kennedy A, Rogers A, Bowen R, Lee V, Blakeman T, Gardner C, et al. Implementing, embedding and integrating self-management support tools for people with long-term conditions in primary care nursing: a qualitative study. Int J Nurs Stud. 2014;51(8):1103–13.

    Google Scholar 

  38. Rogers A, Vassilev I, Sanders C, Kirk S, Chew-Graham C, Kennedy A, et al. Social networks, work and network-based resources for the management of long-term conditions: a framework and study protocol for developing self-care support [Internet]. 2011. Available from: http://www.implementationscience.com/content/6/1/56. [Cited 2021 Feb 23].

  39. Ross J, Stevenson FA, Dack C, Pal K, May CR, Michie S, et al. Health care professionals’ views towards self-management and self-management education for people with type 2 diabetes. BMJ Open. 2019;9(7).

  40. Band R, Bradbury K, Morton K, May C, Michie S, Mair FS, et al. Intervention planning for a digital intervention for self-management of hypertension: a theory-, evidence- and person-based approach. Implement Sci. 2017;12(1):25 Available from: http://implementationscience.biomedcentral.com/articles/10.1186/s13012-017-0553-4. [Cited 2020 Mar 24].

    Google Scholar 

  41. Moodie ST, Kothari A, Bagatto MP, Seewald R, Miller LT, Scollie SD. Knowledge translation in audiology: promoting the clinical application of best evidence. Trends Amplif. 2011;15(1):5–22.

    Google Scholar 

  42. Wensing M, Bosch M, Grol R. Selecting, tailoring, and implementing knowledge translation interventions: Blackwell Publishing Ltd; 2009. p. 94–112.

    Google Scholar 

  43. Gagliardi AR, Kothari A, Graham ID. Research agenda for integrated knowledge translation (IKT) in healthcare: what we know and do not yet know. J Epidemiol Community Health. 2017;71:105–6.

    Google Scholar 

  44. Denis JL, Hébert Y, Langley A, Lozeau D, Trottier LH. Explaining diffusion patterns for complex health care innovations. Health Care Manag Rev. 2002;27:60–73.

    Google Scholar 

  45. Ramdharry GM, Jones F, Holmes S, James N, Booth S, Reilly MM, et al. Neuro-muscular bridges: development of an evidence based selfmanagement resource for people with neuro-muscular diseases. Neuromuscul Disord. 2018;28:S40 Available from: http://www.nmd-journal.com/article/S0960896618304127/fulltext. [Cited 2022 Sep 11].

    Google Scholar 

  46. Bandura A. Self-efficacy: Toward a unifying theory of behavioral change. Adv Behav Res Ther. 1978;1(4):139–61 Available from: https://www.sciencedirect.com/science/article/pii/0146640278900024. [Cited 2019 Jan 3].

    Google Scholar 

  47. De Silva D. Helping people help themselves: a review of the evidence considering whether it is worthwhile to support self-management. Health Found. 2011;92:139–48.

    Google Scholar 

  48. Jones F, Pöstges H, Brimicombe L. Building Bridges between healthcare professionals, patients and families: a coproduced and integrated approach to self-management support in stroke the Creative Commons Attribution Non-Commercial License (CC BY-NC 4.0). NeuroRehabilitation. 2016;39:471–80 Available from: https://content.iospress.com/download/neurorehabilitation/nre1379?id=neurorehabilitation%2Fnre1379. [Cited 2019 Mar 27].

    Google Scholar 

  49. May CR, Johnson M, Finch T. Implementation, context and complexity. Implement Sci. 2016;11(1).

  50. Aarons GA, Sklar M, Mustanski B, Benbow N, Hendricks Brown C. “Scaling-out” evidence-based interventions to new populations or new health care delivery systems.

  51. Greenhalgh T, Papoutsi C. Studying complexity in health services research: Desperately seeking an overdue paradigm shift. BMC Med. 2018;16.

  52. Jones F, McKevitt C, Riazi A, Liston M. How is rehabilitation with and without an integrated self-management approach perceived by UK community-dwelling stroke survivors? A qualitative process evaluation to explore implementation and contextual variations. BMJ Open. 2017;7(4).

  53. Kulnik ST, Pöstges H, Townsend R, Micklethwaite P, Jones F. A gift from experience: co-production and co-design in stroke and self-management. Des Heal. 2019;3(1):98–118 Available from: https://www.tandfonline.com/doi/abs/10.1080/24735132.2019.1577524. [Cited 2020 Sep 3].

    Google Scholar 

  54. McKenna S, Jones F, Glenfield P, Lennon S. Bridges self-management program for people with stroke in the community: a feasibility randomized controlled trial. Int J Stroke. 2015;10(5):697–704 Available from: http://www.ncbi.nlm.nih.gov/pubmed/24256085. [Cited 2019 Feb 26].

    Google Scholar 

  55. Hollinshead L, Jones F, Silvester L, Marshall-Taylor P. Implementing an integrated approach to self-management support in an acute major trauma therapy team: an improvement project BMJ Quality Improvement report. BMJ Open Qual. 2019;8:415. https://doi.org/10.1136/bmjoq-2018-000415 [Cited 2021 Oct 27].

    Article  Google Scholar 

  56. Hull L, Goulding L, Khadjesari Z, Davis R, Healey A, Bakolis I, et al. Designing high-quality implementation research: development, application, feasibility and preliminary evaluation of the implementation science research development (ImpRes) tool and guide. Implement Sci. 2019;14(1).

  57. Cochrane. Effective Practice and Organisation of Care (EPOC). EPOC Taxonomy [Internet]. 2020. Available from: https://epoc.cochrane.org/sites/epoc.cochrane.org/files/public/uploads/taxonomy/epoc_taxonomy.pdf.

  58. Powell BJ, Beidas RS, Lewis CC, Aarons GA, McMillen JC, Proctor EK, et al. Methods to improve the selection and tailoring of implementation strategies. J Behav Health Serv Res. 2017;44(2):177–94.

    Google Scholar 

  59. Proctor EK, Powell BJ, McMillen JC. Implementation strategies: recommendations for specifying and reporting. Implement Sci. 2013;8(1):139 Available from: http://implementationscience.biomedcentral.com/articles/10.1186/1748-5908-8-139. [Cited 2020 Sep 24].

    Google Scholar 

  60. Powell BJ, Fernandez ME, Williams NJ, Aarons GA, Beidas RS, Lewis CC, et al. Enhancing the impact of implementation strategies in healthcare: a research agenda. Front Public Health. 2019;7.

  61. Baker R, Camosso-Stefinovic J, Gillies C, Shaw EJ, Cheater F, Flottorp S, et al. Tailored interventions to overcome identified barriers to change: effects on professional practice and health care outcomes [Internet]: Cochrane Database of Systematic Reviews. John Wiley & Sons, Ltd; 2010. Available from: https://pubmed.ncbi.nlm.nih.gov/20238340/.

    Google Scholar 

  62. Perry CK, Damschroder LJ, Hemler JR, Woodson TT, Ono SS, Cohen DJ. Specifying and comparing implementation strategies across seven large implementation interventions: a practical application of theory. Implement Sci. 2019;14(1).

  63. Johnson DW, Johnson RT, Smith KA. Cooperative learning returns to college what evidence is there that it works? Chang Mag High Learn. 1998;30(4):26–35 Available from: https://www.tandfonline.com/doi/abs/10.1080/00091389809602629. [Cited 2020 Sep 24].

    Google Scholar 

  64. Miech EJ, Rattray NA, Flanagan ME, Damschroder L, Schmid AA, Damush TM. Inside help: An integrative review of champions in healthcare-related implementation. SAGE Open Med. 2018;6:205031211877326. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5960847/. [Cited 2020 Sep 27].

  65. Dineen-Griffin S, Garcia-Cardenas V, Williams K, Benrimoj SI. Helping patients help themselves: a systematic review of self-management support strategies in primary health care practice. PLoS One. 2019;14(8).

  66. Atkins L, Francis J, Islam R, O’Connor D, Patey A, Ivers N, et al. A guide to using the Theoretical Domains Framework of behaviour change to investigate implementation problems. Implement Sci. 2017;12(1).

  67. Janssen MF, Pickard AS, Golicki D, Gudex C, Niewada M, Scalone L, et al. Measurement properties of the EQ-5D-5L compared to the EQ-5D-3L across eight patient groups: a multi-country study. Qual Life Res. 2013;22(7):1717–27 Available from: https://pubmed.ncbi.nlm.nih.gov/23184421/. [Cited 2021 Feb 22].

    CAS  Google Scholar 

  68. Chen G, Gully SM, Eden D. Validation of a New General Self-Efficacy Scale On behalf of: The Research Methods Division of The Academy of Management can be found at: Organizational Research Methods Additional services and information for. 2001.

  69. Jackson C. The General Health Questionnaire. Occup Med (Chic Ill). 2006;57(1):79 Available from: https://academic.oup.com/occmed/article-lookup/doi/10.1093/occmed/kql169. [Cited 2021 Feb 22].

    Google Scholar 

  70. Jenkinson C, Kelly L, Dummett S, Morley D. The Oxford Participation and Activities Questionnaire (Ox-PAQ): development of a short form and index measure. Patient Relat Outcome Meas. 2019;10:227–32.

    Google Scholar 

  71. Osborne RH, Elsworth GR, Whitfield K. The Health Education Impact Questionnaire (heiQ): an outcomes and evaluation measure for patient education and self-management interventions for people with chronic conditions. Patient Educ Couns. 2007;66(2):192–201 Available from: https://pubmed.ncbi.nlm.nih.gov/17320338/. [Cited 2021 Feb 22].

    Google Scholar 

  72. de Witte L, Schoot T, Proot I. Development of the Client-Centred Care Questionnaire. J Adv Nurs. 2006;56(1):62–8 Available from: http://doi.wiley.com/10.1111/j.1365-2648.2006.03980.x. [Cited 2021 Feb 22].

    Google Scholar 

  73. JS, DMM, REG, JH, CR, JB. Patient Assessment of Chronic Illness Care (PACIC) and improved patient-centered outcomes for chronic conditions. J Gen Intern Med. 2008;23(1):77–80 Available from: https://pubmed.ncbi.nlm.nih.gov/18030539/. [Cited 2021 Oct 19].

    Google Scholar 

  74. Holmes MM, Stanescu S, Bishop FL. The use of measurement systems to support patient self-management of long-term conditions: an overview of opportunities and challenges. Patient Relat Outcome Meas. 2019;10:385–94 Available from: https://www.dovepress.com/the-use-of-measurement-systems-to-support-patient-self-management-of-l-peer-reviewed-article-PROM. [Cited 2021 Feb 23].

    Google Scholar 

  75. de Silva D. Evidence: helping people help themselves: a review of the evidence considering whether it is worthwhile to support self-management. Health Foundation (Great Britain), editor. London: The Health Foundation; 2011.

    Google Scholar 

  76. Ramdharry G, Buscemi V, Boaz A, Dawes H, Jaki T, Jones F, et al. Proposing a core outcome set for physical activity and exercise interventions in people with rare neurological conditions. Front Rehabil Sci. 2021;0:62 Available from: https://www.frontiersin.org/articles/10.3389/fresc.2021.705474/full. [Cited 2021 Oct 29].

    Google Scholar 

  77. De Silva D. Helping measure person-centred care - Health Foundation [Internet]. 2014. Available from: https://www.health.org.uk/publications/helping-measure-person-centred-care. [Cited 2021 Oct 29].

  78. Collins A. Measuring what really matters Towards a coherent measurement system to support person-centred care; 2014.

    Google Scholar 

  79. Proctor E, Silmere H, Raghavan R, Hovmand P, Aarons G, Bunger A, et al. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Adm Policy Ment Health Ment Health Serv Res. 2011;38(2):65–76 Available from: https://link.springer.com/article/10.1007/s10488-010-0319-7. [Cited 2020 Sep 24].

    Google Scholar 

  80. Khadjesari Z, Boufkhed S, Vitoratou S, Schatte L, Ziemann A, Daskalopoulou C, et al. Implementation outcome instruments for use in physical healthcare settings: a systematic review. Implement Sci. 2020;15 Available from: https://pubmed.ncbi.nlm.nih.gov/32811517/. [Cited 2021 Nov 3].

  81. Weiner BJ, Lewis CC, Stanick C, Powell BJ, Dorsey CN, Clary AS, et al. Psychometric assessment of three newly developed implementation outcome measures. Implement Sci. 2017;12(1):1–12 Available from: https://implementationscience.biomedcentral.com/articles/10.1186/s13012-017-0635-3. [Cited 2021 Nov 3].

    Google Scholar 

  82. Rapley T, Girling M, Mair FS, Murray E, Treweek S, McColl E, et al. Improving the normalization of complex interventions: part 1 - development of the NoMAD instrument for assessing implementation work based on normalization process theory (NPT). BMC Med Res Methodol. 2018;18(1):1–17 Available from: https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-018-0590-y. [Cited 2021 Nov 3].

    Google Scholar 

  83. Finch TL, Girling M, May CR, Mair FS, Murray E, Treweek S, et al. Improving the normalization of complex interventions: part 2 - validation of the NoMAD instrument for assessing implementation work based on normalization process theory (NPT). BMC Med Res Methodol. 2018;18(1):1–13 Available from: https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-018-0591-x. [Cited 2021 Nov 3].

    Google Scholar 

  84. Lee L, Kulnik S, Boaz A, Ramdharry G. Self-management in neuromuscular diseases: preliminary findings from a qualitative exploration of the patient perspective. RRNMF Neuromuscul J. 2021;2(4):50 Available from: https://journals.ku.edu/rrnmf/article/view/15849/14163. [Cited 2021 Oct 27].

    Google Scholar 

  85. Braun V, Clarke V. Reflecting on reflexive thematic analysis [Internet]. Vol. 11, Qualitative Research in Sport, Exercise and Health. Routledge; 2019. p. 589–97. Available from: https://www.tandfonline.com/doi/abs/10.1080/2159676X.2019.1628806. [cited 2021 Oct 27].

  86. Ivarsson A, Andersen MB, Johnson U, Lindwall M. To adjust or not adjust: nonparametric effect sizes, confidence intervals, and real-world meaning. Psychol Sport Exerc. 2013;14(1):97–102.

    Google Scholar 

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Acknowledgements

The authors wish to acknowledge and thank all the NM Bridges lived experience contributors, the team at Bridges Self-Management Limited, and the staff at the Queen Square Centre for Neuromuscular Diseases.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The project forms part of a PhD studentship funded by Muscular Dystrophy UK Registered Charity No. 205395, Scottish Registered Charity No. SC039445. Financiers have not been part of the project design.

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All authors provided significant contributions to the conception and design of this work. LL prepared the manuscript which was then sent to the other authors for feedback and subsequent refinement. All authors have read and approved the final manuscript.

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Correspondence to Laurence Edward Lee.

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Ethics: Ethical approval has been received from Yorkshire & The Humber - Bradford Leeds Research Ethics Committee (21/YH/0092). Any protocol modifications will be reported to the REC. To ensure data confidentiality, all participant data will be coded using a unique identification number, and all trial results will be presented in aggregate form only and stored securely on a UCL research server. The final trial data set will be accessible to the principal investigator and the data assessor. Informed consent will be obtained from all participants prior to be recruited to the study.

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Competing interests

LL and SK are both former employees of Bridges Self-Management Limited, a social enterprise conducting training, research, and development in self-management support in health and social care. The other authors declare that they have no competing interests.

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Lee, L.E., Kulnik, S.T., Curran, G.M. et al. Protocol for a hybrid II study exploring the feasibility of delivering, evaluating, and implementing a self-management programme for people with neuromuscular diseases at a specialist neuromuscular centre. Pilot Feasibility Stud 9, 4 (2023). https://doi.org/10.1186/s40814-022-01231-9

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