key: cord-0873019-rolk7j08 authors: Carvalho, Márcia; Dunne, Pauline; Kwasnicka, Dominika; Byrne, Molly; McSharry, Jenny title: Barriers and enablers to sustaining self-management behaviours after completing a self-management support intervention for type 2 diabetes: a protocol for a systematic review and qualitative evidence synthesis date: 2021-12-14 journal: HRB Open Res DOI: 10.12688/hrbopenres.13466.1 sha: 37e3236e8d4f89e377edf0fb0a2e884ace51dd29 doc_id: 873019 cord_uid: rolk7j08 Background: Attendance at self-management support interventions is associated with improved outcomes for people with type 2 diabetes. However, initial improvements are often not sustained beyond one year, which may be a result of difficulties in sustaining positive changes made to self-management behaviours. The aim of this systematic review is to synthesise qualitative research on the barriers and enablers to sustaining self-management behaviours following completion of a self-management support intervention for type 2 diabetes. Methods: The review will use the “best fit” framework synthesis method to develop a new conceptual model of sustained behaviour change in type 2 diabetes. MEDLINE (Ovid), EMBASE (Elsevier), CINAHL (EBSCO), PsycINFO (Ovid), SCOPUS, ProQuest Dissertations and Theses, WorldCat and Open Grey will be searched to identify primary qualitative studies. A parallel search will be conducted in Google Scholar to identify relevant theories for the development of an a priori framework to synthesise findings across studies. Methodological limitations of included studies will be assessed using an adapted version of the Critical Appraisal Skills Programme tool for Qualitative Studies. A sensitivity analysis will be conducted to examine the impact of studies with methodological limitations on synthesis findings. Confidence in the synthesis findings will be assessed using the GRADE-CERQual tool. Screening, data extraction, methodological limitation assessment, synthesis and GRADE-CERQual assessment will be conducted by one author with a second author independently verifying a randomly selected 20% sample. Discussion: This review will develop a new model of sustained behaviour change in type 2 diabetes self-management. The findings can be used to inform the development of new interventions or revision of existing interventions to better support sustained engagement in type 2 diabetes self-management behaviours. Type 2 diabetes is a progressive, chronic metabolic disease characterised by beta-cell dysfunction and insulin resistance 1, 2 . The prevalence of type 2 diabetes and associated health and economic burden is rising worldwide 1 . Approximately 462 million people (6.28% of the world's population) live with type 2 diabetes worldwide 3 , with this number expected to increase over the coming years 1, 3 . Without adequate management, type 2 diabetes is associated with microvascular and macrovascular health complications, such as cardiovascular disease, blindness, neuropathy, kidney failure, and lower-limb amputation, and an increased risk of premature death and morbidity 1, 2 . Achieving good glycaemic control through appropriate self-management is critical to prevent the progression of the disease and avoid health complications 4,5 . Self-management is a broad concept encompassing all cognitive and emotional self-regulatory processes and behaviours an individual needs to perform to manage the physical and psychosocial consequences of living with type 2 diabetes 6,7 . Self-management of type 2 diabetes can be complex and demanding, as it can require significant lifestyle changes (i.e., diet and physical activity) and involves multiple self-management behaviours, such as medication taking and blood glucose monitoring, which individuals need to implement and sustain in their daily lives 4, 8 . As a result, many people struggle to achieve and sustain optimal glycaemic management. Realworld evidence of patient profiles and diabetes care practices in developed countries demonstrate that less than 20% of people with type 2 diabetes achieve target blood glucose levels (<53 mmol/mol [<7%]) 9,10 . Self-management support interventions aimed at assisting individuals in self-managing their condition are therefore a central component of type 2 diabetes care 11, 12 . Attendance at self-management support interventions is recommended internationally for people with type 2 diabetes 1,11,13 and a wide range of self-management support interventions have been developed and implemented 4, 8, 14, 15 . Although self-management support interventions vary in terms of mode of delivery, duration, intensity, type of provider, and content 8, 15 , in general, interventions focus on one or any combination of the following components: education (providing information and developing self-management skills such as blood glucose monitoring), lifestyle (promoting and supporting changes in health behaviours relevant to type 2 diabetes, such as diet and physical activity), and psychosocial aspects (promoting and supporting the development of psychosocial skills to facilitate coping and management) 8, 15 . Several randomised controlled trials and systematic reviews indicate benefits from attendance at type 2 diabetes self-management interventions, such as improved biomedical (e.g., weight and glycaemic control), behavioural (e.g., dietary management, and physical activity), and psychosocial (e.g., diabetes knowledge, and quality of life) outcomes 4, 14, 16, 17 . However, long-term follow-ups tend to show that while improvements in psychosocial outcomes are maintained, frequently people experience a decline in glycaemic management over time, particularly from six months to one-year post-intervention 14, 17, 18 . Although the reasons for this decline in glycaemic management are poorly understood 14, 18 , challenges in sustaining positive changes made to self-management behaviours are assumed to be an underlying cause 14, 15 . For the purpose of this review, in line with a published definition 19 , the term sustained behaviour change is used to describe the continuous performance of self-management behaviours following an initial intentional change (during intervention) at a level that significantly differs from the baseline performance (pre-intervention) in the intended direction. Although there is lack of consensus on the timeframe used in defining sustained health behaviour change with definitions ranging from three-months to one-year post-intervention 20 , the criterion of at least 3 months post-intervention will be used in this review. To design interventions that effectively support sustained engagement in type 2 diabetes self-management behaviours, it is necessary to identify factors that influence the maintenance of self-management behaviours following completion of a self-management support intervention. A number of primary qualitative studies have been undertaken to explore the experiences of self-management of people with type 2 diabetes post-intervention 21-25 . However, to our best knowledge, available evidence has not yet been synthesised. Individual qualitative studies offer important insights into the individual's experiences and perceptions and perceived barriers and enablers, but a synthesis of qualitative literature can facilitate the development of overarching insights that go beyond individual study findings 26 . Therefore, the main aim of this systematic review is to synthesise qualitative research on barriers and enablers to sustaining self-management behaviours following completion of a self-management support intervention for type 2 diabetes. This protocol has been prospectively registered on the International Prospective Register of Systematic Reviews (PROSPERO) to ensure the transparency of the research process (CRD42021281374). This systematic review and qualitative evidence synthesis protocol is reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol (PRISMA-P) 27 (See Extended data: Supplementary File 1 28 ). The "best fit" framework synthesis method will be used 29 . This is a flexible, transparent, and pragmatic method that builds on one or more existing theories to develop a new context-specific conceptual model to explain or describe a health behaviour 29 . The choice of this analytical approach was informed by the RETREAT (Review question -Epistemology -Time/ Timescale -Resources -Expertise -Audience and purpose -Type of Data) framework, which offers a criterion-based approach to guide the selection of most appropriate analytical approach for a review 30 (See Extended data: Supplementary File 2 28 ). The "best fit" framework synthesis method involves the identification of a foundation theory or theories referred to as the a priori framework, the coding of the data from the primary studies included in the review against this a priori framework, and the secondary thematic analysis of the data that do not fit into the a priori framework 29 . The process includes seven steps and can be conceptualised as divided into two stages (See Figure 1 ). In the first stage, the review question(s) is determined and the primary studies for inclusion and the a priori framework are identified. The identification and selection of primary studies for inclusion in the review and the identification and generation of the a priori framework occur simultaneously but independently. These two strands then join together at the second stage where the synthesis process begins. The two-stage seven-step method of "best fit" framework synthesis that will be followed in this review is described in detail below (See Figure 1 ). The terminology adopted throughout the protocol is consistent with existing literature 29 and published examples of "best fit" framework synthesis 31 . The systematic review and synthesis of the findings will be completed and reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 32 and the Enhancing Transparency in Reporting the Synthesis of Qualitative Research (ENTREQ) 33 reporting guidelines. A scoping search was conducted to explore the amount and nature of the evidence and to inform the review aim and question. The following review question was developed using the SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, Research Type) framework 34 : • What are the barriers and enablers perceived by adults with type 2 diabetes to sustaining self-management behaviours after completing a diabetes self-management support intervention? The following eligibility criteria were informed by the SPIDER framework 34 . Sample. Studies including adults (aged ≥ 18 years) with a diagnosis of type 2 diabetes who have attended a self-management support intervention will be included. If the study also contains participants with type 1 diabetes, individuals with type 2 diabetes aged under 18 years, women with gestational diabetes or adults with type 2 diabetes who did not attend a self-management support intervention, studies will be included only if it is possible to extract the barriers and enablers perceived by the relevant participants. Phenomenon of interest. Studies will be included if they focus on barriers and enablers to sustaining self-management behaviours at least three months after completing a self-management support intervention. For the purpose of this review, a barrier is defined as any factor that impedes or obstructs sustaining self-management behaviours. An enabler is defined as any factor that facilitates or helps sustain self-management behaviours. Consistent with a previous review 14 , a self-management support intervention for type 2 diabetes is defined as any intervention that aims to support or facilitate self-management of type 2 diabetes. In accordance with the available literature on self-management support for type 2 diabetes, interventions should explicitly focus on self-management support of type 2 diabetes and target one or more of the following self-management domains to be included in the review 17,35 : • Education about the disease process, progression, management, and treatments available. • Goal setting to promote health and facilitate health behaviour change. • Empowerment or self-efficacy. Behavioural skills • Nutritional education and management. • Physical activity. • Medication intake. • Blood glucose monitoring. • Prevention, management, and treatment of health complications. Emotional skills • Psychosocial adjustment. • Distress, anxiety, and depression management. • Social support. There will be no restrictions for inclusion based on the intervention setting, mode of delivery, type of facilitator, intensity, duration, and theoretical basis of the intervention. Studies that include carers or family relatives will be included in the review, as long as the intervention is primarily intended for the person with type 2 diabetes. If the study includes both individuals still attending the intervention and individuals who have completed the intervention, studies will only be include if it is possible to extract data from individuals who completed the intervention and have experiences of self-management for at least three months post-intervention at the time of the study. If studies explore sustaining self-management behaviours and other concept(s) in self-management, it must be possible to extract the information specific to sustaining self-management behaviours to be included in the review. Studies examining other aspects of living with type 2 diabetes (e.g., coping, emotional distress) where it is impossible to extract the data on barriers and enablers to sustaining self-management behaviours after completing a self-management support intervention will be excluded. Design and Research Type. Primary qualitative and mixed-methods research studies will be considered for inclusion. Although grey literature can be difficult to search and retrieve, non-peer reviewed studies will be considered for inclusion as there is a growing consensus that the inclusion of grey literature can widen the scope of reviews, thus providing a more complete picture of the evidence available 36,37 . Studies will be included if a qualitative method is used for data collection (e.g., focus groups or interviews) and analysis (e.g., thematic analysis or grounded theory). The data collection and analysis methods should be clearly reported in the studies to be included in the review. Studies that collect data using qualitative methods but analyse it quantitatively (e.g., descriptive statistics) will not be included in the review. Mixed-methods studies will be included in the review if the qualitative data is relevant and of sufficient depth to be synthesised in the review. Only articles published in English will be included in the review. Quantitative studies, literature reviews, qualitative evidence synthesises, editorials, commentaries, opinion pieces, and abstracts in proceedings will be excluded. Where the full text article is not available online, the corresponding author(s) will be contacted by email with one follow-up. If the corresponding author(s) do not reply within one week after the follow-up, the article will be excluded. A combination of systematic searching of the literature of electronic databases and supplementary searching techniques will be used to maximise the identification of relevant papers for inclusion in the review 34 . A comprehensive search will be conducted on the following databases: MEDLINE (Ovid), EMBASE (Elsevier), CINAHL (EBSCO), PsycINFO (Ovid) and SCOPUS from inception to September 2021. An expert librarian provided support on the selection of the databases and development of the search strategy. The search strategy was informed by the SPIDER framework 34 (See Table 1 for further details) in consultation with an information specialist. The search combines free-text terms with index terms (e.g., Medical Subject Headings) for type 2 diabetes, self-management support interventions, sustained behaviour change, and qualitative research. The search strategy was developed iteratively and informed by existing reviews 14, 19, [38] [39] [40] [41] to ensure the search was as comprehensive as possible. Methodological filters for qualitative research were also used where available in specific databases to enhance the specificity of the search 42, 43 . Search terms were truncated where relevant to ensure all spellings are captured (e.g., behavio*). In addition, Boolean terms, such as OR and AND were included in the search to enhance specificity and sensitivity. A sample search strategy for the MEDLINE (Ovid) database is presented in Extended data: Supplementary File 3 28 . A search of grey literature will also be undertaken on ProQuest Dissertations and Theses, WorldCat via the Online Computer Library Center (OCLC) and Open Grey in September 2021. To counteract common challenges in identifying qualitative literature through systematic searching of electronic databases alone 37 , forward, and backward citation searches will be conducted on all included studies. The lead author will import all references to the electronic reference manager EndNote X20 and remove duplicates. The eligibility criteria will be pilot tested with a random sample of 6 papers by two authors (MC and PD) and the criteria clarified if needed. The lead author will then screen the titles and abstracts and full texts of the identified articles against the eligibility criteria using Rayyan QCRI software 44 . A second author (PD) will independently screen a random sample of 20% of the articles at both stages. A chance-corrected Kappa statistic will be calculated to assess inter-reviewer agreement 45 at both stages. Disagreements will be discussed between the authors and, if necessary, with a third author until consensus is achieved. When the abstract is not available or does not contain enough information to make an informed decision about the inclusion of an article, the article will be retrieved for full text screening. If necessary, authors of primary studies will be contacted for clarification and further information. All the studies identified as potentially relevant by one or both authors will be retrieved for full text screening. A table listing studies excluded from the review and the main reasons for exclusion will be recorded by the research team and presented in the review using a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram 32 . Full-text articles will be imported to QSR International's NVivo v12 software 46 . This software will be used to store the data and to assist in the data extraction and synthesis to ensure clarity and transparency 47 . A data extraction form (See Extended data: Supplementary File 4) will be created for the purpose of this synthesis within NVivo 47, 48 . The following data will be extracted from each study 48 : study information (e.g., authors, year of publication), study characteristics (e.g., aims and objectives, sample size), participants' characteristics (e.g., age, gender, time living with the diagnosis), intervention characteristics (e.g., intervention components, duration, and mode of delivery), data collection and analysis methods. Findings, including participants' verbatim quotes and reported interpretations by the primary study authors will be extracted as "best fit" framework synthesis allows the analysis, synthesis and integration of primary and secondary data 31,49 . Reported strengths, limitations and implications of the study will also be extracted. The data extraction form will be initially pre-tested with a random sample of three papers by two authors (MC and PD). One author (MC) will extract data from all included articles and a second author (PD) will cross-check 20% of the articles to ensure consistency and minimise potential bias during the data extraction process. Any disagreement will be discussed between the authors and, if necessary, with a third author until consensus is achieved. An adapted version of the Critical Appraisal Skills Programme (CASP) Tool 50 for qualitative studies will be used to assess the methodological limitations of the included studies. The following domains will be considered: context, sampling strategy, data collection, data analysis, support of individual study findings in data, reflexivity, and ethical considerations. Each domain will be judged as yes (i.e., the domain is sufficiently, clearly, and appropriately described in the study), no (i.e., the domain is not described in the study) or unclear (i.e., the study only offers a limited or unclear description of the domain). MC will appraise all the included studies. PD will independently appraise 20% of the included studies. Disagreements will be discussed, and a third author will be consulted if necessary. Studies will not be excluded based on this assessment 51 , in line with recommendations 52 , but this information will be considered in the analysis of the findings, assessment of confidence in the review findings and the reporting of the review. Identification and development of the a priori framework (Stage 1 -Steps 2b and 3b) The a priori framework for this review will be selected through a combination of literature search, expert consultation, and research team consensus 29 . Potential a priori theories will be identified by the review team opportunistically from within the topic-relevant searches and articles selected for full text screening, and purposively from an independent parallel search in Google Scholar combining the search terms 'model*' or 'framework*'or 'theoretical' or 'theory' or 'concept' or 'conceptual' 31 with the terms 'type 2 diabetes self-management' and 'sustained behaviour change'. A list of relevant candidate theories will be developed based on the results of this search. This approach has been previously used to identify an appropriate existing conceptual model in a worked example of "best Fit" framework synthesis 31 . Google Scholar has the advantages of covering mainstream and non-mainstream academic literature and ability to sort the results of the search by relevance. Records retrieved will be read to identify relevant candidate theories. The aim is to build a comprehensive list of candidate theories. For each new record, the theory or theories identified will be matched to ones previously identified and added to the list if not previously identified. The search will be terminated when no new theories are identified after five new records have been read 53 . As it is anticipated that the number of hits for the initial search will be high with a large number of records of very low relevance, the search results will be ordered by relevance using the Google algorithm 'sort by relevance' 53 . When a list of potential theories is identified, the review team will meet to discuss the suitability of the candidate theories, and to determine if a single comprehensive theory can be used, or if it is necessary to develop a meta-framework using concepts or constructs from different theories in the existing literature 49 . The list of candidate theories will be circulated by the research team in advance of the meeting. Additionally, the three senior research team members (DK, MB, JMS) with extensive knowledge of and experience using behavioural theories will be consulted to identify any potentially relevant additional theories they are aware of which are not included in it the list. The review team will discuss the conceptual fit of each of the candidate theories until consensus is achieved. The three criteria outlined by Damschroder and colleagues 54 will be considered by the review team when evaluating candidate theories, as suggested by Booth and Carroll 49 (See Table 2 ). The assumption by Booth and Carroll 49 that a priori theoretical framework does not need to be "a perfect match for the question or evidence", but only offer "a 'good enough' starting point as designated by the phrase "best fit" (p. 701) will be taken into consideration by the research team. After identifying the most suitable theory, secondary thematic analysis 29 will be employed to create the a priori framework. Thematic analysis will be used to generate a set of explanatory constructs and theoretical propositions, referred to in the "best fit" synthesis method as themes, which represent patterns of theoretical explanations. The theoretical themes identified might be further organised by subthemes if appropriate. Based on the information available in the primary studies and original papers of the selected theory, definitions will be created for each theme 29 . As the suitability of a theory or theories also depends on the proportion of the data that can be accommodated within it, the choice of the a priori framework will be revisited during the data analysis and synthesis process to ensure the framework selected is the most appropriate 29 . The a priori framework will be considered appropriate if it accommodates at least 50% of the data extracted from the included primary studies. The lead author will develop a coding tree on NVivo with the themes and constructs identified to facilitate the coding of the data against the a priori framework. A second author (PD) will cross-check the final list of themes to ensure different authors can consistently code data from primary studies with a sample of three studies 29 . The findings from the included studies will be coded against the themes generated based on the a priori framework (Step 4). New themes will be generated to code data that cannot be coded against the a priori framework secondary thematic analysis 29 . New themes will be based on the author's interpretation of the data and constant comparison of such data across studies 29 (Step 5). The new themes resulting from this analysis will be added to the a priori framework. A new updated framework composed of a priori and new themes supported by the evidence will result from this process 29,49 (Step 6). One author (MC) will conduct all stages of data analysis and synthesis from coding to interpretation with continuous input from the rest of the research team. A second author (PD) will independently analyse and synthesise 20% of the articles. Any discrepancies will be discussed between the two authors and if necessary, with a third author until consensus is achieved. The potential ways in which themes may relate to each other will then be explored using constant comparison method 55, 56 , facilitating the generation of a new conceptual model describing the process of sustaining type 2 diabetes self-management behaviours after completing a self-management support intervention 29,49 (Step 7). Finally, a sensitivity analysis 29,57 will be performed to examine the contribution of studies with methodological limitations to the review findings 29,47,57 (Step 7). Subgroup analyses will be conducted where appropriate and if possible, comparing studies based on intervention characteristics, time gap between the completion of the intervention and data collection, participants' characteristics, and study context. The Confidence in the Evidence from Reviews of Qualitative Research (GRADE-CERQual) 58 approach will be used to assess confidence in each theme included in the final model. GRADE-CERQual assesses confidence in review findings, based on the following key components: methodological limitations (i.e., the extent to which there are concerns about the design or conduct of the primary studies that contributed to the review finding); relevance (i.e., the extent to which findings from the primary studies are relevant to the review question), coherence (i.e., the extent to which the review findings are grounded in data from the primary studies), and adequacy of the data (i.e., the extent to which a review findings are supported by rich data and a large number of studies) 58 . After assessing each of the four components, a judgement about the overall confidence in the review finding will be made. The confidence in each review finding will be graded as high (i.e., it is highly likely), moderate (i.e., it is likely), low (i.e., it is possible) or very low (i.e., it is unclear) dependant on whether the review finding is judged to a reasonable representation of the phenomenon of interest 58 . All findings will initially be graded as high confidence and will then be graded down if there are important concerns regarding any of the GRADE-CERQual components 58 . The final assessment will be based on consensus among the two authors (MC and PD) involved in the confidence assessment with discussion with the full review team if needed. To ensure rigour and quality, the research team members will maintain a reflexive stance throughout all stages of the review process, from study selection to data synthesis and interpretation of the findings. A team-based reflexive approach will be adopted involving individual critical reflection on assumptions and potential biases and reflexive group discussions 59 . The research team will continuously reflect on their background and how their personal views and beliefs could influence their choices regarding methods to use, data extraction, coding synthesis, and interpretation of the review findings. MC, JMS, DK and MB have a background in Health Psychology and primarily work in research focused on health behaviour change. MB is a professor, JMS a lecturer, DK is a senior research fellow, and MC is a PhD candidate. PD is a PhD candidate with a background in nutrition/dietetics and has extensive clinical experience delivering self-management support interventions for people with Type 2 diabetes. MB and JMS have experience in conducting qualitative evidence synthesis and primary qualitative research focused on type 2 diabetes mellitus. MC and PD have previous experience in conducting primary qualitative research. DK has experience and expertise in theory review and synthesis. All authors believe that sustaining self-management behaviours is challenging, and people might struggle to integrate these behaviours into their daily lives. During the screening, data extraction, coding and synthesis, and assessment of confidence in the review findings, the team will regularly meet to discuss progress and potential disagreements. The two authors (MC and PD) who will conduct the study screening, data coding, extraction and synthesis, and assessment of confidence in the review findings, will meet regularly to discuss how their background, experiences and presumptions on the review topic may be influencing their assessments and analysis and will both record and reflect on their decisions in memos. As the lead author, MC will keep a reflexive journal throughout the review process to document and critically reflect on the research process. The involvement of key stakeholders in systematic reviews is increasingly recognised as fundamental to the quality, relevance, and impact of the review findings 60, 61 . Patient and public representatives of people with type 2 diabetes who attended a self-management support intervention for type 2 diabetes will be involved in the review from the point of data synthesis. Patient and public representatives will be asked to review the a priori framework and the new themes that are generated by the research team and contribute to the new updated framework and interpretation of the synthesis findings. In addition, they will also be invited to contribute to the development of dissemination strategies and assist in the preparation of dissemination documents, such as the lay summary, to ensure clarity and readability. The involvement of the members from the advisory panel in the systematic review process will be guided by the ACTIVE (Authors and Consumers Together Impacting on eVidencE) framework, which outlines a range of methods and approaches to guide both the involvement of stakeholders in systematic reviews and the reporting of their involvement in the review process 61 . The activities and contributions of the advisory panel will be reported in line with the Guidance for Reporting Involvement of Patients and the Public Version 2 (GRIPP2) Checklist 62 and the ACTIVE framework 61 . The review is currently underway. The database searches have been completed, duplicates removed, title and abstract screening completed, and full text screening commenced. Given the decline in glycaemic control over time following completion of a self-management support intervention, there is a need to better understand 'how' (and why) people self-manage their diabetes post-interventions. This review will be the first to explore barriers and enablers experienced by people with type 2 diabetes to sustaining self-management behaviours after completing a self-management support intervention. By adopting the "best-fit" framework synthesis method, the review will result in a comprehensive model of the maintenance of type 2 diabetes self-management behaviours after completion of a self-management support intervention. The model is anticipated to identify factors that influence the self-management of type 2 diabetes over time and might contribute to the variability in the long-term effectiveness of this type of interventions 14 . The evidence-informed conceptual model resulting from this review will be useful to guide future intervention revision or design. In addition, the model resulting from this review will provide important theoretical insights into the process of sustained behaviour change, a key priority area in behavioural science 19 . The planned review has several strengths and limitations. The review methods are transparent, rigorous and will be reported in accordance with published guidelines 27,32,33 . An audit trail detailing the decisions made and methodological steps taken will be kept throughout the research process. Due to practical reasons, we will not include non-English articles whose findings could provide interesting additional insights. Despite the best efforts of the research team, it is also possible that not all relevant articles will be retrieved during the search for primary studies and/or selected during the screening process due to the myriad of terms used in the literature to describe self-management support interventions, sustained self-management and qualitative research. This review will also reflect the limitations of the included studies as the review findings will be limited to what is reported in the included primary studies. Another potential limitation relates to the heterogeneity of the self-management support interventions described in the primary studies and the time gap between the completion of the intervention and data collection. Differences between interventions and the amount of time since the completion of the programme have potential to make the synthesis across studies and the drawing of appropriate conclusions more difficult. Findings from the review will be submitted to a peer-reviewed journal for publication and the final review results will be promoted in social media outlets, including Twitter, to reach a wider public audience. The findings will also be disseminated to key stakeholders at relevant national and international conferences, and a policy brief and a lay summary will be created to communicate the findings to policymakers, people with type 2 diabetes and the general public. In addition, alternative dissemination strategies suggested by the members of the public and patient advisory panel will also be considered. Underlying data No data are associated with this article. However, dataset associated with the review will be published Open Access online on the Open Science Framework review page. Department of Nursing and Midwifery, University of Limerick, Limerick, Ireland The protocol gives background and context to the issues around the complexities of sustaining self management behaviors for individuals living with T2 Diabetes Mellitus. People that undergo educational interventions in self management often do not sustain the behaviors long term and this can have negative consequences on their overall health and diabetes management, The aim of the review was to synthesis qualitative evidence on the barriers and facilitators to sustaining self management behaviors following completion of a self management support intervention for T2DM. The review authors detail the planned methodology of the QES using a Best Fit Framework synthesis approach. Good detail is provided in relation to the development of the review question, and the intended format of the best fit framework approach. Clear descriptions of the criteria is outlined. The design and research type of studies is well detailed. No justification of why only articles in English is given, this is a potential limitation of the review. Appropriate level details is included for searching and screening both for the review and the best fit framework. The approach to identify a best fit framework appears particularly complex, and would appear to complicate the process of apriori coding rather than facilitate it. If the framework is sufficiently well developed it should not require secondary thematic analysis and perhaps the choice of framework needs to be cognizant of this. The subgroup analysis could include socioeconomic factors, such as income level of country where research was carried out as this may have an influence on outcomes of a self management intervention. Good reflexive account of review authors positions in the topic area and review. Inclusion of PPI is a positive step towards meaningful inclusion of patients/public. Overall a well detailed protocol, that evidences good understanding of the processes and requirements of a QES. Is the rationale for, and objectives of, the study clearly described? Are sufficient details of the methods provided to allow replication by others? Yes Are the datasets clearly presented in a useable and accessible format? Yes you anticipate publishing as a result of this work. Is the study design appropriate for the research question? Yes Are sufficient details of the methods provided to allow replication by others? Partly Are the datasets clearly presented in a useable and accessible format? Yes terms of subject matter, methods, and intended outcomes, and in my view will make a valuable and much needed contribution to the field. I do, however, have a few queries as follows: The study design is appropriate for the research question, although I have a number of queries regarding the eligibility criteria. The review aims to include qualitative studies and multi-methods studies that report qualitative findings separately. Does that refer to a separate (but linked) publication or a separate section of the mixed-methods publication, or both? As such, would this include a publication reporting on a randomised controlled trial of an intervention with a qualitative sub-study, as long as the findings from the sub-study were reported in sufficient detail within the same paper? I see that the authors have made reference to 'sufficient detail', but in the case of the two situations I have described, the level of detail could be very different. Could the authors perhaps provide further information on what will be sufficient? In terms of sustained behavioural change at 3-months post-intervention, how will this be verified in a situation where a publication reporting on a primary qualitative study is retained for review? By sustained, are the authors referring to any change from baseline sustained or change from completion of the intervention sustained (e.g., if a person increases physical activity by 50 minutes per week at the 1-month intervention time point and an additional 30 minutes per week at the 2month intervention time point, will the changes be considered as 'sustained' if 20 minutes per week is reported upon intervention completion at 4-months)? I appreciate this relates to definitions of maintenance, however, it would be useful to clarify for the purpose of this review. Will the views of non-completers be included in the review if they sustain a change in behaviour (e.g., those who complete 3-weeks of a 3-month intervention but still provide their views)? I ask because the protocol refers to those who have 'completed' a self-management intervention, however, I suspect including and synthesising the views of non-completers will be advantageous. It is possible that despite not completing the intervention, any changes made early on could still be sustained. The methods reported are very comprehensive and enable replication, specifically in terms of study selection, data extraction, and assessment of methodological quality. Clarification on the queries highlighted in relation to inclusion criteria will further strengthen replicability and augment understanding. In relation to the search strategy (page 6), the authors report that methodological filters will be used for qualitative research to enhance specificity where databases provide these filters. While I can understand the merit of doing this, it can sometimes omit relevant studies if the study has not been indexed using the term searched for. It might be worth piloting the search in this regard. Overall, this is a robust and well-designed systematic review protocol reviewing literature in a very important area and will likely generate outcomes/resources of significant benefit to the field. Is the study design appropriate for the research question? International Diabetes Federation (IDF): International Diabetes Federation: Diabetes Atlas 9th Edition. 2019. 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Staying 'Covid-safe': Proposals for embedding behaviours that protect against Covid-19 transmission in the UK Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science Basics of qualitative research: Grounded theory procedures and techniques Barriers and enablers to screening and diagnosing diabetes distress and depression in people with type 2 diabetes mellitus: A qualitative evidence synthesis Should we exclude inadequately reported studies from qualitative systematic reviews? An evaluation of sensitivity analyses in two case study reviews Using qualitative evidence in decision making for health and social interventions: an approach to assess confidence in findings from qualitative evidence syntheses (GRADE-CERQual) Using reflexivity to optimize teamwork in qualitative research PPI) in evidence synthesis: how the PatMed study approached embedding audience responses into the expression of a meta-ethnography Development of the ACTIVE framework to describe stakeholder involvement in systematic reviews GRIPP2 reporting checklists: tools to improve reporting of patient and public involvement in research The authors would like to acknowledge and thank Ms Rosie Dunne, Research Services Librarian at the National University of Ireland, Galway, for support in the development of the search strategy and identification of the appropriate databases to conduct the search. No competing interests were disclosed. Reviewer Report 01 February 2022 https://doi.org/10.21956/hrbopenres.14677.r31171 © 2022 Rodrigues A. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Department of Psychology, Northumbria University, Newcastle upon Tyne, UK This paper is an important addition to the literature that will summarise qualitative research on the barriers and enablers to sustaining self-management behaviours. I really like the potential of generating a comprehensive theoretical framework of sustained behaviour change in type 2 diabetes self-management as a result of this work. The paper also provides an excellent description of this systematic review and qualitative evidence synthesis methodology. Some very minor comments below:Sensitivity analysis -Further elaboration might be beneficial. Can you detail how exactly you are going to conduct the sensitivity analysis? From your writing, I can sense that you know exactly how you are going to do it but might be worth spelling it out. For readers less familiar with sensitivity analyses in narrative synthesis this information might be particularly relevant.○ Reflexivity -I really like this section and find it very innovative to add this to a narrative synthesis. Some further details might be needed here. How exactly are you going to do this? Are you going to keep a reflective logbook for every part of the process, for instance? How will you integrate this into your interpretation of the findings? The aim of this systematic review is to synthesise qualitative research on the barriers and enablers to sustaining self-management behaviours following the completion of a self-management intervention for type 2 diabetes.It is widely accepted that people with type 2 diabetes experience difficulties in making and sustaining lifestyle behaviour changes to effectively manage their condition. The authors highlight this point, with specific reference to sustaining changes, which provides a strong rationale for undertaking the systematic review. A number of systematic reviews exist that report on the effectiveness of self-management interventions, however, there is a lack of specific evidence reporting on the barriers and enablers. This context is vitally important to optimise existing interventions, to inform the development of new interventions, and in the case of this piece of research, to develop models of sustained behaviour change. The study is clearly described in Are the datasets clearly presented in a useable and accessible format? Not applicableCompeting Interests: No competing interests were disclosed.Reviewer Expertise: Development and evaluation of health behaviour change interventions in the context of type 2 diabetes, NAFLD and other long-term health conditions. Multi-method research/systematic reviews.I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.