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Engaging primary care professionals in collaborative processes for optimising type 2 diabetes prevention practice: the PREDIAPS cluster randomised type II hybrid implementation trial

Abstract

Background

There is a lack of evidence concerning the effectiveness of different strategies to engage healthcare professionals in collaborative processes that seek to optimise clinical practice. The PREDIAPS project aims to assess the effect of different primary health care (PHC) providers’ engagement procedures in the creation and execution of a facilitated interprofessional collaborative process to optimise the integration of the recommended clinical practice for the prevention of type-2 diabetes (T2D) in routine PHC.

Methods

This will be a randomised cluster type II hybrid implementation trial. Nine PHC centres from the Basque Health Service (Osakidetza) will be allocated to two different procedures to engage family doctors and nurses and create an interprofessional collaborative practice to optimise the integration of a T2D primary prevention programme. All centres and PHC professionals will receive training on current guidelines in primary prevention of T2D and effective interventions to promote healthy lifestyles. Headed by a local leader and an external facilitator, centres will conduct a collaborative structured process to model and adapt the intervention and its implementation to the specific context of professionals and centres. One of the groups will apply this strategy globally, promoting the cooperation of all health professionals from the beginning. The other will perform it sequentially, centred first on nurses, who will then seek the pragmatic cooperation of doctors. All patients without diabetes aged ≥ 30 years old who attend collaborating centres at least once during the study period and found to be at high risk of developing T2D will be eligible for programme inclusion. The main outcome measures focus on changes observed in indicators of T2D prevention clinical practice at centre level after 12 and 24 months, associated with the application of one or other engagement procedure. Secondary outcomes will compare their clinical effectiveness in changing eligible exposed patients’ main lifestyle behaviours and risk factors (physical activity and diet, weight, etc.) after 12 months.

Discussion

The PREDIAPS project will generate scientific knowledge on procedures for engaging PHC professional to facilitate feasible and effective adoption of proven interventions for the prevention of T2D in routine clinical practice through the application of implementation strategies.

Trial registration

Clinicaltrials.gov identifier: NCT03254979. Registered 16 August 2017.

Peer Review reports

Background

The dramatic increase in the rates of type 2 diabetes mellitus (T2D) and associated complications has made it a major health problem worldwide [1]. Despite the growing evidence provided by landmark T2D prevention trials and several translational studies assessing both the efficacy and effectiveness of healthy lifestyle prevention interventions in clinical and community settings [2,3,4,5,6,7,8,9,10,11,12], the actual translation and integration of primary prevention programmes in routine clinical practice remains an unsolved challenge. Indeed, currently, in the real context of the provision of services seeking to prevent T2D in the Basque Health Service (Osakidetza), only 30% of patients at high risk of developing this disease receive some type of intervention focused on preventive advice.

In the PreDe multicentre trial conducted in 14 Osakidetza PHC centres, it was shown that an intervention promoting healthy lifestyles among patients at high risk of developing the disease succeeded in reducing the incidence of T2D by almost a third (32%) [12]. Nevertheless, despite having identified an intervention that is potentially effective for preventing T2D in PHC, the passive implementation strategy used for guiding the translation and adoption of the intervention in a routine clinical context by our health professionals has not achieved feasible and sustainable deployment, with low levels of adoption by clinicians, limited population coverage, failure to integrate the intervention into practice, and lack of continuity at the end of the project, among other problems. The factors identified by the professionals as the main barriers that constrained the feasibility of integration of the programme under routine conditions in the centres and implied that it would not be sustainable were the lack of participation and commitment from the staff of the centres in the context of time pressures and heavy workloads. These two factors, in turn, limited the organisation of operational elements required for putting the programme and its components into practice, in an environment with few incentives and an overload of corporate initiatives [13].

Numerous strategies for changing clinical practice have been tested with variable degrees of success. There is a consensus in the scientific literature that passive learning or dissemination strategies are ineffective [14]. In contrast, key elements in the success of implementation strategies seeking to optimise clinical practice include internal leadership to drive change and implementation [15, 16], active and participatory engagement of professionals in collaborative processes [17,18,19], external facilitation [20, 21], adaptation of interventions to the local context and its determinants [22, 23], and the combination of multiple components [14]. Among these effective elements, one of the areas for which there is still a lack of clear evidence concerns the effectiveness of strategies for engaging professionals in the aforementioned collaborative innovation processes [19, 24,25,26]. It is not known what factors are essential for effective interprofessional collaboration, especially in the real-world of PHC, with the overall context of overcrowding and work overload, and marked differences by professional category, both in terms of identity and competencies [19].

Interprofessional collaboration (communities of practice, work teams or collaborative interprofessional processes) has long been considered an essential factor underpinning effective PHC [27]. In general, the practice of interprofessional collaboration characterised by mutual respect and trust, open communication between individuals, holding a shared vision of the goals and potential benefits of the intervention, as well as joint decision-making by consensus on how the intervention should be implemented, has been shown to improve clinical practice and health outcomes [15, 19, 20, 28,29,30]. Yet, the mere placing of healthcare professionals with different backgrounds in a team does not mean that they will have the knowledge or skills necessary to work together and collaborate. Further, there is evidence that the effective implementation of change in organisations is often obstructed by organisational and professional demarcations that hinder the sharing of knowledge and dissemination of working practices [25, 31,32,33]: professional differences may have a dual effect leading, on the one hand, to innovation, learning and cross-fertilisation between practices, but on the other, to division, fragmentation and disconnection. Great efforts are needed to overcome such professional boundaries and create functional interprofessional collaboration, given its complexity [19].

Research on interprofessional work teams and collaborative communities of practice establishes that collaboration is an interpersonal process that requires joint engagement in intellectual activities and that interaction between members of the team, concerning the assignment of functions and limits between professionals, hinge on two principal concepts: independence and collaboration [34,35,36]. Collaboration is an interpersonal process implying joint participation in intellectual activities, while independence is associated with independent self-determined practice [36]. These concepts of collaboration and independence have emerged as complementary factors that may improve the provision of health services, though in extreme cases, they may disrupt the work of a team. Based on theoretical models of the engagement of health professionals and research in the field, a spectrum of strategies for engagement in cooperative practices that favour interaction between different types of professionals have been identified, ranging from not promoting any type of relationship or engagement—“Individualism”, through encouraging some degree of closeness between groups—“Creation of relations”, to affirming a common identity that includes all the groups—“Promotion of a common identity” [26]. Hence, on the basis of the few studies conducted in this field, it seems that independence may be an important element in the functioning of an interprofessional team. The empowerment of members of the team to develop their independence may improve collaborative interactions. While an ability to swap roles and functions may help to reduce the work load of group members, it may also increase the level of conflict related to fighting for power as the roles of the different professionals are less well defined [35].

In short, the engagement of health professionals is a crucial factor in the processes of change and optimisation of clinical practice. Nevertheless, we do not know what is the best procedure for creating the aforementioned interprofessional teams or communities of practice in PHC and ensure that they produce effective and functional collaborative interaction, in a shared framework for learning and practice based on differentiation rather than fragmentation by professional group [19, 24, 25, 35]. We need a better understanding of how to establish and manage teams or collaborative communities of practice with a view to maximising their potential to improve professional development and healthcare, change practice or implement evidence-based practice.

The objective of the present study will be to assess the effect of different strategies for generating engagement of PHC professionals in the creation of an interprofessional community of practice and setting up of a structured collaborative modelling process headed by an external facilitator and a local leader, in order to optimise clinical practice concerning the primary prevention of T2D in the routine clinical context of PHC services in Osakidetza. The implementation strategy will be the same in both groups and will contain elements shown to be key factors in successful optimization of clinical practice: leadership, facilitation, engagement of professionals, and adaption to the local context, among others. The comparison groups will differ, however, in the order of activation of professional categories: a sequential strategy of starting with nursing staff and eventually involving family doctors, versus a global approach seeking the participation of all the professionals from the outset. It is hypothesised that the sequential strategy will be more effective for accelerating the adoption of recommended clinical interventions and ensure that they are maintained, as initially it will be less complex, and more flexible and adaptable to the local context, and hence can be expected to generate less conflict between professionals. Further, from the outset, there will be a focus on a clinically effective intervention (intensive intervention in the promotion of healthy lifestyles), carried out by nurses and later seeking the cooperation of other professionals, once it has been shown that the nursing staff are actively committed to change in health promotion practice.

Specific objectives are the following:

  1. 1)

    To estimate the effectiveness attributable to the strategy for engaging health professionals in the improvement of the clinical practice for preventing T2D in high risk individuals, comparing the following implementation indicators between the centres assigned to the sequentially facilitated collaborative model strategy and those assigned to the globally facilitated collaborative model strategy.

  2. 2)

    To estimate the potential clinical effectiveness of the intervention programmes comparing the proportion of users who change their lifestyle habits (physical activity and diet) and lose 5% of their body weight (a) observed in the population exposed (pre-post comparison) in both groups and (b) comparing the figures obtained in the programmes following the sequential vs the global strategy.

  3. 3)

    To analyse the factors associated with successful implementation results in the implementation strategy in general and in the engagement procedures assessed in particular, at the organisational collaborating health professional and exposed patients levels.

  4. 4)

    To explore the perceived feasibility and satisfaction of health professionals and users exposed with the implementation processes and the intervention programmes.

Methods

Design

This is to be a multicentre randomised type II hybrid implementation trial of feasibility and potential effectiveness in nine primary care centres that will be randomly allocated to one of the two strategies for engaging healthcare professionals in the development and execution of a process for adopting the recommended clinical practice for T2D prevention: a global strategy, seeking cooperation between professionals at all levels from the outset; or a sequential strategy, first led by nurses, and then seeking the pragmatic cooperation of the rest of the professionals in the centres. The research protocol has been approved by the Basque Country Clinical Research Ethics Committee (Ref. no.: 08/2015).

Participants

Primary care centres

Nine PHC centres of Osakidetza will be included in the study based on their organisational willingness to optimise the primary prevention of T2D, assessed through the obtaining of written commitment and consent to collaborate from a majority (> 51%) of the centre’s nurses and a substantial proportion of the doctors whose patients’ lists are involved through the nursing staff, after a session presenting the project.

Users of primary care services

All the patients aged between 45 and 70 years old who seek medical attention in the participating centres at least once with a high risk of developing T2D and/or with moderate hyperglycaemia (high baseline glucose levels or glucose intolerance), but no diagnosis of T2D documented the medical record, will be candidates to participate in the T2D prevention programme.

Recommended clinical intervention based on evidence and clinical practice guidelines

Based on the available scientific evidence and clinical practice guidelines [2, 4, 13], three measures are recommended for the prevention of T2D in clinical settings:

(1) Screen for individuals with abnormal regulation of glucose or a high risk of developing T2D (fasting glucose ≥ 110–125 mg/dl, HbA1c ≥ 6%), with the following approaches being recommended: T2D screening as part of opportunistic screening for cardiovascular risk in individuals ≥ 45 years old or ≥ 30 years old with at least one known risk factor (e.g. hypertension); T2D screening based on a body mass index (BMI) ≥ 25 kg/m2 in individuals between 40 and 70 years old; or screening for T2D risk using the FINDRISC [13] scale in individuals between 45 and 70 years old. These last two procedures should be completed with a fasting glucose to discard T2D diagnosis.

(2) In patients identified as high risk, carry out a structured intensive programme focused on the prescription of personalised plans for lifestyle change (low-calorie and low-fat diets, and at least 150 min of exercise per week). This intensive intervention requires the assessment of lifestyle habits, personalised advice (tailored to the individual’s risk) and the setting of objectives and plans or prescription of a personalised intervention for lifestyle change. It should combine education with the use of theoretically-grounded evidence-based strategies for behavioural change and the introduction of changes in daily life.

(3) Ensure that the intervention is followed up to keep participants motivated, with frequent contact at the beginning and subsequently annual follow-up.

Random allocation

The implementation strategy to facilitate the adoption of the recommended clinical intervention for T2D prevention will be common to the two comparison groups (see the following section). In order to distinguish and isolate any effects of the strategy used for the creation of the multidisciplinary community of practice, the centres will be randomly allocated to one of the comparison groups: five centres to the sequential strategy and the other four to the global strategy. This random allocation will be carried out by the members of our research unit not involved in this project, using a computer-generated random number sequence obtained before starting the trial. Given that the new programme is an optimisation of T2D prevention activities already offered by the Basque Health Service, it is expected that participating patients will be blinded to group allocation.

Implementation strategy

The implementation strategy to facilitate the adoption of the recommended intervention in clinical practice was developed in three main steps:

  1. (1)

    First, we analysed the factors or determinants that have played a key role in the feasibility of setting up a primary prevention programme for T2D in the context of a previous clinical trial, the PreDe trial [13]. For this purpose, the health professionals of the participating centres carried out a three-part structured process: (a) individual identification of the main barriers and facilitators in putting the intervention programmes into practice; (b) individual rating of the importance or impact of each factor identified; and (c) pooling and agreed prioritisation of the factors using a nominal group technique, that resulted in a priority list of determinants/targets for improvement of T2D prevention in PHC.

  2. (2)

    In a second step, we designed a tailor-made strategy to address the aforementioned determinants related to clinical practice for T2D prevention, on the basis of theoretical implementation frameworks. For this, each of the determinants identified was framed in one of the possible implementation constructs/determinants and subsequently one or several specific techniques or strategies for overcoming/strengthening the barriers/facilitators in accordance with theoretical frameworks for implementation, the Consolidated Framework for Implementation Research (CFIR), and Theoretical Domains Framework (TDF), and a compendium of implementation strategies [23, 37, 38].

  3. (3)

    Based on previous experience [39,40,41,42], the research team involved in the implementation organised and operationalised the specific strategies into actions to be put into practice in the health centres in a framework of a dynamic implementation process.

The same multifaceted implementation strategy will be applied in all the centres, yet the process for establishing the community of practice will differ (Table 1). The first step of the process is the consensus-based selection in each centre of the local leader and his/her subsequent training (15 h over three sessions), organised by comparison group (global or sequential). The first session will have the same content for both groups and will seek to enable the local leaders to acquire the necessary knowledge on primary prevention of T2D and the recommended clinical intervention. The second session will address aspects of the assessment of the organisational and inter-personal structure of the corresponding centre as well as communication and leadership techniques and skills. The third session will be focused on drafting the implementation plan and will address the strategies and procedures to be used in each group. Subsequently, we will provide theoretical and practical training related to the evidence-based clinical intervention for the primary prevention of T2D (90 min) and the computer support tool (6 h). The training will consolidate the differences between the strategies, in that in the sequential group only the nurses will initially receive this training, training for doctors being postponed until after the planning and the carrying out of the cycles of piloting.

Table 1 Outline of implementation actions by comparison group

Once the training and skill acquisition phase is over, we will start the collaborative modelling process, based on the establishment of a community of practice headed by a local leader and an external facilitator. In the global strategy group, this will be undertaken jointly by participating doctors and nurses from the outset, seeking to adapt the set of clinical activities in a logical way: screening for risk (selecting from among the recommended approaches), gathering of information on individuals’ habits, provision of advice, and intensive intervention with prescription of personalised plans for lifestyle change. In this way, it is hoped that a community of practice will be fostered based on an approach that lies between “Intergroup partnership” and “Relationship building” [26], underlining collaboration between professional categories from the beginning [36]. In the sequential group, first the nurses will consolidate the execution of the clinical intervention at their level, working through from the last “active ingredient” to the first, that is, from the prescription of personal plans to screening. Subsequently, they will involve doctors in the framework of a community of practice underpinned by “Pragmatic cooperation” [26], underlining the independence of each professional category [36].

Once a preliminary programme for primary prevention of T2D has been planned, we will move onto a process of brief pilots of specific actions to assess their efficiency and, thereby, optimise the set of actions of the programme. In the global group, doctors and nurses will collaborate in the piloting process (with joint participation across the professional categories). On the other hand, in the sequential group, once the clinical intervention has been started by nurses, the first cycle of piloting will be undertaken. After this, pragmatic cooperation of doctors will be sought to maximise the efficiency of the actions, flows and procedures of the intervention programme, doctors being involved in the second cycle of piloting. The collaborative process is completed with a further training on the clinical intervention and the IT support tool (this being the initial training of doctors in the sequential group), a third piloting cycle to finalise the details and final standardisation of the programme. The aim of this standardisation is to establish and set the standards for practice, the target population for the intervention and screening strategy, and key components of the intervention and follow-up: broken down by action and process, staff involved, material and organisational components, and factors specific to the context of the centre, among others. The programmes will then be incorporated to the portfolio of services of the centres.

The last element of the strategy is follow-up or sustained support, which will involve six follow-up sessions over 12 months (every month for the first 3 months, then at 6, 9 and 12 months) and the use of auditing reports, presented jointly by the local leader and the external facilitator.

Assessment of results

  1. 1.

    Main outcome measures: effectiveness in the optimisation of clinical practice for the primary prevention of T2D (experimental comparison) (see Table 2 for a detailed description):

    • The proportion of professionals who actively adopt the intervention programme, out of the total in each centre (adoption)

    • The proportion of individuals in whom clinical practice recommendations on the screening for T2D risk are met out of the total number of potentially eligible individuals seeking medical care (reach and coverage)

    • The proportion of non-diabetic patients at high risk of developing T2D exposed to interventions related to lifestyle habits 12 months after the introduction of the intervention programmes: assessment of lifestyle habits, provision of personalised advice, prescription of lifestyle changes and follow-up (execution of the recommended clinical intervention).

  2. 2.

    Secondary outcome measures: clinical effectiveness of the intervention (observational comparison)

Table 2 Main outcome measures

Patients exposed to the intensive intervention for the promotion of healthy lifestyles (i.e. the prescription of lifestyle change) in each centre/group will be followed-up every year in the centre with measurement of clinical parameters and the assessment of physical activity and diet with the Prescribe Vida Saludable (Prescribe Healthy Lifestyle) questionnaires [43], incorporated in the electronic health record (Table 2).

  1. 3.

    Associated factors

In order to analyse the potential associated or modifying characteristics of the effect that the implementation strategy and, within it, the procedures for creating the community of practice could have on clinical practice in the primary prevention of T2D and on clinical outcomes, we studied various different factors at centre, health professional and patient levels:

  • Health centre-based factors: Organisational willingness to change measured with the Organizational Readiness for Knowledge Translation (OR4KT) questionnaire [44], the Spanish version of the OR4KT instrument comprising 59 items assessing 6 dimensions and 23 sub-dimensions related to organisational predisposition to knowledge translation: organisational climate, organisational support, contextual factors, change content, leadership, and motivation; leadership assessed with the Implementation Leadership Scale (ILS) questionnaire [45]; and various characteristics of the primary care centres, namely, number of registered patients, number of healthcare professionals, mean number of registered patients per family doctor, and a socioeconomic deprivation index for the catchment area that combines variables related to employment (unemployment rate, manual and short-term employment) and education (educational attainment rate among young people and overall).

  • Healthcare professional-related factors: sociodemographic variables (age, sex, professional group, etc.); and professionals’ healthy lifestyle behaviours; and Attitudes, knowledge and skills in the promotion of healthy habits in the clinical context, measured through the Preventative Activity Questionnaire [46].

  • Patient-level factors: sociodemographic variables (age, sex, socioeconomic level- deprivation index, etc.); active health problems-morbidity (Adjusted Clinical Groups-ACG, etc.); and frequency of attendance.

Health professionals will be surveyed to obtain information related to the variables at health centre and professional level before the execution of the strategy, immediately after it and 12 months after the introduction of the programmes in the centres.

  1. 4.

    Fidelity of the implementation strategy

In order, on the one hand, to facilitate the replication, dissemination and future scaling of both the implementation strategy and specifically, within it, the engagement procedure used (e.g. establishment of a community of practice, execution of collaborative dynamic sessions); and on the other, to assess the degree to which what has been carried out has adhered faithfully to the plan, the process of executing the implementation strategy will be exhaustively documented and subsequent described by health centre and professional group:

  • Number of centres included out of all those approached

  • Percentage of health professionals who collaborate across all the centres

  • Number of actions carried out (training, work sessions, etc.), and final duration compared to that originally anticipated (exposition to the implementation strategy)

  • Participation of collaborating health professionals in each action

  • Assessment of the content and usefulness of the actions by health professionals

  • Resources allocated to the execution of the strategy in the health centres: actions and resources for the planning, organisation and execution of sessions; support materials, dedication of external facilitator, organisational support resources (freeing up of leader’s time, coverage of services, etc.)

The fidelity of the execution of the strategy and active ingredients will be assessed by triangulation of three sources of information: the protocol for the implementation strategy and the specific agendas of the working sessions; minutes, reports and other material produced in the sessions; and audio recordings of the sessions, which will be made for evaluation purposes with prior consent of the parties involved, and safeguarding the confidentiality of the information and data.

  1. 5.

    Qualitative evaluation

Additionally, we will carry out a qualitative evaluation of the feasibility and impact of both the strategy and the clinical intervention on the optimisation of the care practice for the primary prevention of T2D. Specifically, we will conduct semi-structured interviews with key individuals to explore the following:

  1. (a)

    The perceived feasibility (barriers and facilitators), results observed and satisfaction of healthcare professionals, concerning the implementation strategy and the community of practice developed and the integration of the intervention programme, carrying out at least 2 interviews per participating centre (total of 18 interviews). The scripts of key-informant interviews will be theoretically-grounded, based in both the TDF and CFIR frameworks [37, 38].

  2. (b)

    The satisfaction of users exposed to the programme with the intervention received and the impact of thereof on changes in their lifestyle habits, again carrying out at least 2 interviews per participating centre (total of 18 interviews): 1 patient who has managed to change their lifestyle habits and another who has not.

Management and quality of the data

All the data related to patient recruitment, the execution of the programme and the demographic characteristics of the users (age, sex, socioeconomic level) as well as the clinical variables (chronic health problems, biological and clinical parameters) will be obtained from the information extracted from the electronic health records of the Basque Health System. The Primary Care Research Unit of Bizkaia is explicitly authorised by the Healthcare Management of the Basque Health System to extract and use data from the electronic health records for research purposes. The coordination, process quality control and execution of the study, as well as management of data and ensuring its quality, are the responsibility of the Primary Care Research Unit of Bizkaia. The telephone interviews of the participants for the evaluation process of lifestyle changes will be carried out by trained professional interviewers, under the supervision of the research team. All the study data were treated anonymously and have been exclusively used for the objectives of the study. The confidentiality of personal data of participants was safeguarded at all times, in accordance with the organic law for personal data protection (15/1999 of December 13). Safety outcomes were not assessed because we did not anticipate any adverse effects due to the intervention given that it only involved physical activity and healthy diet promotion.

Sample size

As a worst case scenario regarding the main outcome variables for the optimisation of practices for the prevention of T2D, we hypothesise that we will obtain a rate 30% higher than a baseline level of 50% (that is, 65% in the sequential group vs 50% in the global group) in several of the outcome variables. Considering the participation of 9 centres, an alpha level of 0.05, and an intra-class correlation coefficient (ICC) at centre level of 0.03, we will need a minimum of 425 patients at high risk of developing T2D to be exposed to the prescription of a personalised plan for lifestyle change per group (850 in total) to achieve a statistical power of 80%, allowing for a possible loss of 20% of patients, in the comparison of the aforementioned process indicators related to exposure and execution of the intervention. This scenario is reasonably plausible assuming that 50% of the doctors lists in the centres agree to collaborate with this research and if we consider that, according to data from OSABIDE, an average attendance per year of 875 patients over 45 years of age with prediabetes (baseline glucose ≥110 mg/dl) per group (175 per centre). For exploring a possible modification of clinical outcomes from the prescription of lifestyle changes, namely, a 5% loss of body weight, attributable to the creation of the community of practice, we need 616 patients (308 per group) to achieve a power of 80% to reject the null hypothesis H0:p1 = p2 using a bilateral chi-squared test for two independent samples with a level of significance of 5%, considering that 10% of patients will attain such change in one of the groups and 35% in the other, assuming an ICC of 0.03 and a possible loss of 10% of patients at 12 months.

Analysis

All the analyses will be carried out on an intention-to-treat basis and then exploratory analysis will be performed by protocol and subgroup. We will estimate the absolute and relative pre-post intra-centre and between groups differences and the 95% confidence intervals using multi-level logistic regression for dichotomous variables (e.g. proportion of patients with a prescription for lifestyle change). As the sample size for evaluating the implementation objectives is over 20,000 patients, all the comparisons will be significant from a statistical point of view, and hence, emphasis will be placed on the magnitude of these differences, following the Cohen categories based on standardised differences: < 0.5; ≥ 0.5 to ≤ 0.8 and > 0.8 being considered to indicate small, moderate and large effects respectively. Comparisons will be adjusted for potential confounding factors, through stratified analysis and the inclusion of such factors in the regression models following forward and backward strategies guided by the stratified analyses.

To assess the maintenance of implementation outcomes through the 24-month follow-up, mixed-effect generalised longitudinal models will be built with fixed effects (intervention group, effect of time on monthly process indicators and interaction time-intervention) and random effects on the intercept and the slope (for each subject, doctor-centre). Said models will be adjusted for the potential confounding variables, following a forward strategy guided by the stratified analyses. Through these statistical models, we will take into account the intra-class correlation (between doctor-centre) and the hierarchical nature of data: patients nested by medical consultations and these grouped by health centre. All the analyses were carried out using SAS statistical software.

Regarding the secondary outcome variables, the percentages (e.g. % of patients who meet recommendations on physical activity) were compared using chi-square or non-parametric tests. Quantitative variables were compared using t-tests (comparison of the means). For these outcome measures, pre-post differences and differences between study groups will be estimated, and 95% confidence intervals (CIs) will be calculated on an intention-to-treat basis. Stratified analysis will be performed, mixed-effects generalised models will be built to estimate the differences between the groups adjusted for factors that confound or moderate the effect of the intervention (baseline demographic and clinical characteristics) and adjusted differences, adjusted odds ratios (ORs) and 95% CIs will be calculated at the patient level, taking into account the hierarchical and multicentre structure of data. To explore a potential modifying effect of the intervention on clinical outcomes obtained attributable to the procedure for creating the interprofessional community of practice, we will conduct comparisons by intervention protocol between groups using matching by propensity scores calculated on the basis of the characteristics of patients recorded in their health record. This will permit us to analyse the association between the actual intervention dose received (assessment of lifestyle habits, assessment of habits plus advice, and assessment of habits plus advice plus prescription) and the event of interest (change in lifestyle habits or weight loss) as a function of one or other engagement procedure, pairing patients participating in one or another comparison group in a 1:1 ratio on the basis of them having a similar probability of having received said treatment or intervention dose.

Discussion

The present implementation research project is framed in the context of the translation of practices with proven effectiveness for the prevention of T2D. This disease is one of the main causes of illness and premature death in most countries, and hence, it has become a priority public health issue worldwide. There is an extensive evidence concerning interventions that succeed in reducing the risk of developing T2D, but there is also evidence of the gap between what it is known to be effective and what is actually being done in our health system. Yet, the implementation scientific objective is to evaluate the effect of different procedures for engaging PHC professionals in the creation of an interprofessional community of practice for the collaborative modelling and integration of a T2D primary prevention recommended clinical practice.

In a broader sense, the project seeks to integrate a T2D prevention programme, based on scientific evidence and recommended care, into the portfolio of services of PHC centres in a feasible and sustainable way, ensuring that it is as efficient as it should be, has a wide coverage and is effective among the users that could potentially benefit from it, thereby resulting in improvements in care practice, reducing the delivery of services that do not provide clinical benefits, increasing quality and improving health outcomes, through the efficient and sustainable use of health system resources. Further, the project seeks to optimise and transform clinical practice and its organisation, refocusing it towards an approach that enables feasible, sustainable and effective translation of interventions with proven efficacy, and thereby, improve the provision services by our health professionals. By incorporating and evaluating new strategies or organisational models in health centres, specifically the creation of interprofessional communities of practice, focused on collaborative planning and the redefining of professional roles, sharing out of tasks, and optimisation of the provision of care and services, will enable us to advance our knowledge of how to integrate interventions and therapies that have proven effective but are not being widely used into daily practice in sustained and continuous manner. If the findings are positive, this research will provide health planners and research community with evidence supporting the view that there is a need to introduce and assess this type of implementation strategies to enhance the adoption of new practices and innovations in operative procedures, strategies and resources, as a means to achieve integration of interventions with proven efficacy in clinical practice and in the PHC portfolio of services, and that they really reach the users who have a need for them.

However, several threats and limitations could be advanced. First, the limited number of centres in study may affect the generalizability of the study results. Second, to assure the binomial of “fidelity” in the application of the strategy and the necessary “adaptability” to the local context of each centre will be both a big challenge and an issue of scientific relevance. And third, the time necessary for the achievement of relevant changes in clinical practice is certainly unknown and also warrants careful considerations in the interpretation of study results. Additionally, low interest or lack of motivation of patients to improve their health, due to their condition of being at risk and not having a disease, may affect actual intended reach of the programmes implemented in centres. At the collaborating centre’s level, two major threats could be envisaged, being these maintaining the commitment and involvement of professionals throughout the project, and the rotation in or movement from centres of personnel. And lastly, at the organisational level, lack of support from the Directorate in the provision of resources that guarantee the correct execution of the project, and the competition with other initiatives and projects to be carried out in the organisation, may undermine implementation results.

Abbreviations

ACG:

Adjusted Clinical Groups

BMI:

Body mass index

CFIR:

Consolidated Framework for Implementation Research

CI:

Confidence intervals

HbA1c:

Haemoglobin A1c or glycated haemoglobin

ICC:

Intra-class correlation coefficient

ILS:

Implementation Leadership Scale

OR:

Odds ratio

OR4KT:

Organizational Readiness for Knowledge Translation

PHC:

Primary health care

T2D:

Type 2 diabetes

TDF:

Theoretical Domains Framework

References

  1. Diabetes Action Now. http://www.who.int/diabetes/actionnow/en/. Accessed 23 May 2015.

  2. Balk EM, Earley A, Raman G, et al. Combined diet and physical activity promotion programs to prevent type 2 diabetes among persons at increased risk: a systematic review for the community preventive services task force. Ann Intern Med. 2015;163(6):437–51.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Stevens JW, Khunti K, Harvey R, et al. Preventing the progression to type 2 diabetes mellitus in adults at high risk: a systematic review and network meta-analysis of lifestyle, pharmacological and surgical interventions. Diabetes Res Clin Pract. 2015;107(3):320–31.

    Article  PubMed  CAS  Google Scholar 

  4. National Institute for Health and Clinical Excellence. Preventing type 2 diabetes: risk identification and interventions for individuals at high risk. NICE public health guidance 38. London, National Institute for Health and Clinical Excellence, 2012. [Retrieved 28 December 2015]. Available from: http://www.nice.org.uk/guidance/ph38. Accessed 28 Dec 2015.

  5. Hesselink AE, Rutten GE, Slootmaker SM, de Weerdt I, Raaijmakers LG, Jonkers R, Martens MK, Bilo HJ. Effects of a lifestyle program in subjects with impaired fasting glucose, a pragmatic cluster-randomized controlled trial. BMC Fam Pract. 2015;16(1):183.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  6. Lakerveld J, Bot SD, Chinapaw MJ, van Tulder MW, Kostense PJ, Dekker JM, Nijpels G. Motivational interviewing and problem solving treatment to reduce type 2 diabetes and cardiovascular disease risk in real life: a randomized controlled trial. Int J Behav Nutr Phys Act. 2013;10:47.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Vermunt PW, Milder IE, Wielaard F, de Vries JH, Baan CA, van Oers JA, Westert GP. A lifestyle intervention to reduce type 2 diabetes risk in Dutch primary care: 2.5-year results of a randomized controlled trial. Diabet Med. 2012;29(8):e223–31.

    Article  PubMed  CAS  Google Scholar 

  8. Costa B, Barrio F, Cabré JJ, Piñol JL, Cos X, Solé C, Bolíbar B, Basora J, Castell C, Solà-Morales O, Salas-Salvadó J, Lindström J, Tuomilehto J, DE-PLAN-CAT Research Group. Delaying progression to type 2 diabetes among high-risk Spanish individuals is feasible in real-life primary healthcare settings using intensive lifestyle intervention. Diabetologia. 2012;55(5):1319–28.

    Article  PubMed  CAS  Google Scholar 

  9. Whittemore R, Melkus G, Wagner J, Dziura J, Northrup V, Grey M. Translating the diabetes prevention program to primary care: a pilot study. Nurs Res. 2009;58(1):2–12.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Bo S, Ciccone G, Baldi C, Benini L, Dusio F, Forastiere G, Lucia C, Nuti C, Durazzo M, Cassader M, Gentile L, Pagano G. Effectiveness of a lifestyle intervention on metabolic syndrome. A randomized controlled trial. J Gen Intern Med. 2007;22(12):1695–703.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Davies MJ, Gray LJ, Troughton J, Gray A, Tuomilehto J, Farooqi A, Khunti K, Yates T, Let's Prevent Diabetes Team. A community based primary prevention programme for type 2 diabetes integrating identification and lifestyle intervention for prevention: the Let's Prevent Diabetes cluster randomised controlled trial. Prev Med. 2016;84:48–56.

    Article  PubMed  Google Scholar 

  12. Sanchez A, Silvestre C, Campo N, Grandes G, PredDE Group. Effective translation of a type-2 diabetes primary prevention programme into routine primary care: the PreDE cluster randomised clinical trial. Diabetes Res Clin Pract. 2018;139:32–42.

    Article  PubMed  Google Scholar 

  13. Sanchez A, Silvestre C, Cortazar A, Bellido V, Ezkurra P, Rotaeche Del Campo R, et al. Prevención de la diabetes mellitus tipo 2 en Atención Primaria de Salud mediante estilos de vida saludables: cuidados e intervención clínica recomendada. Vitoria-Gasteiz: Departamento de Salud-Gobierno Vasco; 2016.

    Google Scholar 

  14. Grimshaw JM, Thomas RE, MacLennan G, et al. Effectiveness and efficiency of guideline dissemination and implementation strategies. Health Technol Assess. 2004;8(6):iii–v. 1–72

    Article  PubMed  CAS  Google Scholar 

  15. Lau R, Stevenson F, Ong BN, Dziedzic K, Treweek S, Eldridge S, Everitt H, Kennedy A, Qureshi N, Rogers A, Peacock R, Murray E. Achieving change in primary care—causes of the evidence to practice gap: systematic reviews of reviews. Implement Sci. 2016;11:40.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Parmelli E, Flodgren G, Beyer F, Baillie N, Schaafsma ME, Eccles MP. The effectiveness of strategies to change organisational culture to improve healthcare performance: a systematic review. Implement Sci. 2011;6:33.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Lanham HJ, McDaniel RR Jr, Crabtree BF, Miller WL, Stange KC, Tallia AF, Nutting P. How improving practice relationships among clinicians and nonclinicians can improve quality in primary care. Jt Comm J Qual Patient Saf. 2009;35(9):457–66.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Durlak JA, DuPre EP. Implementation matters: a review of research on the influence of implementation on program outcomes and the factors affecting implementation. Am J Community Psychol. 2008;41(3–4):327–50.

    Article  PubMed  Google Scholar 

  19. Morgan S, Pullon S, McKinlay E. Observation of interprofessional collaborative practice in primary care teams: an integrative literature review. Int J Nurs Stud. 2015;52(7):1217–30.

    Article  PubMed  Google Scholar 

  20. Baskerville BN, Liddy C, Hogg W. Systematic review and meta-analysis of practice facilitation within primary care settings. Ann Fam Med. 2012;10:63–4.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Nagykaldi Z, Mold JW, Aspy CB. Practice facilitators: a review of the literature. Fam Med. 2005;37(8):581–8.

    PubMed  Google Scholar 

  22. Flottorp SA, Oxman AD, Krause J, Musila NR, Wensing M, Godycki-Cwirko M, Baker R, Eccles MP. A checklist for identifying determinants of practice: a systematic review and synthesis of frameworks and taxonomies of factors that prevent or enable improvements in healthcare professional practice. Implement Sci. 2013;8:35.

  23. Powell BJ, McMillen JC, Proctor EK, Carpenter CR, Griffey RT, Bunger AC, Glass JE, York JL. A compilation of strategies for implementing clinical innovations in health and mental health. Med Care Res Rev. 2012;69(2):123–57.

    Article  PubMed  Google Scholar 

  24. Ranmuthugala G, Plumb JJ, Cunningham FC, Georgiou A, Westbrook JI, Braithwaite J. How and why are communities of practice established in the healthcare sector? A systematic review of the literature. BMC Health Serv Res. 2011;11:273.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Kislov R, Walshe K, Harvey G. Managing boundaries in primary care service improvement: a developmental approach to communities of practice. Implement Sci. 2012;7:97.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Kreindler SA, Larson BK, Wu FM, Gbemudu JN, Carluzzo KL, Struthers A, Van Citters AD, Shortell SM, Nelson EC, Fisher ES. The rules of engagement: physician engagement strategies in intergroup contexts. J Health Organ Manag. 2014;28(1):41–61.

    Article  PubMed  Google Scholar 

  27. World Health Organisation. Alma Ata Declaration International Conference on Primary Health Care. Alma Ata: USSR; 1978.

    Google Scholar 

  28. Strasser DC, Falconer JA, Stevens AB, Uomoto JM, Herrin J, Bowen SE, Burridge AB. Team training and stroke rehabilitation outcomes: a cluster andomized trial. Arch Phys Med Rehabil. 2008;89(1):10–5.

    Article  PubMed  Google Scholar 

  29. White D, Suter E, Parboosingh IJ, Taylor E. Communities of practice: creating opportunities to enhance quality of care and safe practices. Healthcare Quarterly. 2008;11:80–4.

    Article  PubMed  Google Scholar 

  30. Bentley C, Browman GP, Poole B. Conceptual and practical challenges for implementing the communities of practice model on a national scale--a Canadian cancer control initiative. BMC Health Serv Res. 2010;10:3–10.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Xyrichis A, Lowton K. What fosters or prevents interprofessional teamworking in primary and community care? A literature review. Int J Nurs Stud. 2008;45(1):140–53.

    Article  PubMed  Google Scholar 

  32. Ferlie E, Fitzgerald L, Wood M, Hawkins C. The nonspread of innovations: the mediating role of professionals. Acad Manag J. 2005;48:117–34.

    Article  Google Scholar 

  33. Wenger E. Communities of practice: learning, meaning and identity. Cambridge: Cambridge University Press; 1998.

    Book  Google Scholar 

  34. D’Amour D, Ferrada-Videla M, San Martin Rodriguez L, Beaulieu M-D. The conceptual basis for interprofessional collaboration: core concepts and theoretical frameworks. J Interprof Care. 2005;19(Supplement 1):116–31.

    Article  PubMed  Google Scholar 

  35. MacNaughton K, Chreim S, Bourgeault IL. Role construction and boundaries in interprofessional primary health care teams: a qualitative study. BMC Health Serv Res. 2013;13:486.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Cameron A. Impermeable boundaries? Developments in professional and inter-professional practice. JIPC. 2011;25:52–8.

    Google Scholar 

  37. Damschroder L, Aron D, Keith R, Kirsh S, Alexander J, Lowery J. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci. 2009;4:50–10.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011;23(6):42.

    Article  Google Scholar 

  39. Grandes G, Sanchez A, Cortada JM, et al. Collaborative modeling of an implementation strategy: a case study to integrate health promotion in primary and community care. BMC Res Notes. 2017;10(1):699.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Sanchez A, Grandes G, Cortada JM, et al. Feasibility of an implementation strategy for the integration of health promotion in routine primary care: a quantitative process evaluation. BMC Fam Pract. 2017;18(1):24.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Martinez C, Bacigalupe G, Cortada JM, et al. The implementation of health promotion in primary and community care: a qualitative analysis of the ‘Prescribe Vida Saludable’ strategy. BMC Fam Pract. 2017;18(1):23.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Sanz-Guinea A, Espinosa M, Grandes G, et al. Efficiency of “Prescribe Vida Saludable”, a health promotion innovation. Pilot phase. Gac Sanit. 2017;31(5):404–9.

    Article  PubMed  Google Scholar 

  43. Bully P, Sanchez A, Grandes G, Pombo H, Arietalenizbeaskoa MS, Arce V, Martinez C, PVS Group. Metric properties of the “prescribe healthy life” screening questionnaire to detect healthy behaviors: a cross-sectional pilot study. BMC Public Health. 2016;16(1):1228.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Grandes G, Bully P, Martinez C, Gagnon MP. Validity and reliability of the Spanish version of the Organizational Readiness for Knowledge Translation (OR4KT) questionnaire. Implement Sci. 2017;12(1):128.

  45. Aarons GA, Ehrhart MG, Farahnak LR. The implementation leadership scale (ILS): development of a brief measure of unit level implementation leadership. Implement Sci. 2014;9(1):45.

    Article  PubMed  PubMed Central  Google Scholar 

  46. López-de-Munain J, Torcal J, López V, Garay J. Prevention in routine general practice: activity patterns and potential promoting factors. Prev Med. 2001;32(1):13–22.

    Article  PubMed  Google Scholar 

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Acknowledgements

The Prediaps Group:

ALANGO HC (OSI Uribe): Nurses: Amaia Bengoetxea, Olga Galarza, Elsa Martínez, Itziar Zalduegi, Dorothea Chausson, Agurtzane Gorroño, Alicia Pollán, Marisol Bernabéu, MªYolanda Calvo, Ander Artiagoitia, Nerea Zaramillo, Lidia Gonzalez, Asier Aurrekoetexea; Family Doctors: Jon Azkarate, María Muñoa, Mar Bilbao, Vicki Camineiro, Gonzalo Gómez de Iturriaga, Fernando Gago, Iciar Ochoa de Retana, Ana Zorrilla, MªLuisa Gutiérrez, Jone Capetillo Serra, Mª Nieves Lopez.

ERANDIO HC (OSI Uribe): Nurses: Nekane Iguerregui, Dolores López, Maite Gastañaga, Antonia Flores, Marcos Pereda, Amaya González, Ana Castresana, Laura Saiz, Nerea Regulez, Estibaliz Peciña; Family Doctors: Jasone De la Plaza, Lucía Irastoza, Jose Contreras, Idoia Etxebarria, Begoña Oleaga, Cristina Herrero, Nora Cabezón, Fátima Calvo, J Manuel Llamazares, Mª Ángeles Gutierrez, Monica Prieto.

ZUAZO HC (OSI Barakaldo-Sestao): Nurses: Concepción Estébanez, María José Cordovilla, Alicia Domínguez, Isabel Lázaro, Elena Resines, Yolanda Villalba, Begoña Ayerdi; Family Doctors: Florencia Martín, Magdalena Presmanes, Floreal Crespo, Araceli Benito, Mª Belén Molina, Mª Mar García, Mª Gracia Díaz, Mª Luisa Rodriguez Ortiz de Zarate, Rebeca San Cristóbal, M Zugazaga Prieto.

SAN VICENTE HC (OSI Barakaldo-Sestao): Nurses: Pedro Martínez, Mercedes Crespo, Estíbaliz Albitre, Adelina García-Roldán, Amaia García, Maite Castro, Iñaki Gorospe, Amelia V. Hernández, Maite López, Mirian Sainz; Family Doctors: Irene Marín, María Jesús Aragón, Leire Ulayar, Encarnación Santamaría, Carmen Sánchez, Javier Bayo, Begoña Urkullu, Ana Inés Pereda, Mercedes Garcia.

PORTUGALETE HC (OSI Ezkerraldea-Ekarterri-Cruces): Nurses: Pilar Blanco, Silvia Soler Valverde, Jose I. Atela, Hiart Trespalacios, Anabel Llarena, Verónica Ruiz; Family Doctors: Begoña Cabieces, Concepción Ugarte, Guadalupe Icaza, Edurne Zubeldia, Idoia González, Ángeles Gayo.

ZALLA HC (OSI Ezkerraldea-Ekarterri-Cruces): Nurses: Itxaso Arévalo Martín, Gloria Intxausti, Esther García, Teresa Sánchez, Igone Lobato, Noelia Fuente, Naiara Ortolachipi, Edelweiss Sánchez; Family Doctors: Victoria Cosgaya, Ángeles Gayo, Arantza Azazeta, Patricia Zaballa, Ana Isabel Ramila, Teresa Rodeño.

SODUPE HC (OSI Ezkerraldea-Ekarterri-Cruces): Nurses: Inmaculada Rodríguez, Teresa Vázquez, Raquel Ruíz, Rosa Herrero, María Valvanera Aduna, Saioa Setién García; Family Doctors: Begoña Ruíz, Juan José Casas, Joana Clemente, Javier Amiama, Javier Angulo.

IZTIETA HC (OSI Donostialdea): Nurses: Belén Aramendia, Soledad Asenjo, Mª Sonia Mayoral, Remedios Oyarzun, Bergoi Calvar, Belinda Zulueta, Edurne Elola, Josu Egaña, Gemma Díaz, Mª Ángeles Sola, Laura Balague, Mª Ángeles Ganzarain, Arantxa Aramburu, Ana Mª Guinea, Edurne Lizarazu, Inma Valverde, Nekane Arenas, Susana Alonso; Family Doctors: Rosa Salaberria, Javier Merino, Mercedes Álvarez, Ester Lázaro, Juncal Izcara, Leire González, Ainhoa García Leunda, Idoia Sánchez, Esther Usandiaga, Eluska Yetano.

EGIA HC (OSI Donostialdea): Nurses: Jaione Larrea, Inés Mendinueta, Asún Uria, Ana Belén Gaztañaga, Eva Mayo, Onintza Aranzadi, Eulalia Medina, Rosa González, Ione Gutiérrez, Arantxa Perez, Mª Ángeles Izquierdo; Family Doctors: Alejandro García, Ainhoa Ugarte, Mª Teresa Zubeldia, Bingen Uriondo, Mª Carmen Aranegui, Arantxa Mendiguren, Yolanda Fernández, Maite Zapirain, Mª Jose Garín, Aitziber Ayerbe, Jon Urkia.

Coordinating research team: Director Team: Alvaro Sánchez, Josep Cortada (Deusto HC), Esther Gorostiza (Matiena HC), Maite Espinosa, Susana Pablo, Artemiss Torres, Gonzalo Grandes; Clinical Comitee: Alicia Cortazar (Cruces Hospital), Virginia Bellido (Cruces Hospital), Patxi Ezkurra (Zumaia HC), Rafa Rotaetxe (Alza HC).

Funding

This study has been funded by Instituto de la Salud Carlos III through the project PI15/00350, RD12/0005/0010 and RD16/0007/0002 and co-funded by Europen Regional Development Fund “A way to make Europe”. The funding body had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

Availability of data and materials

Since data supporting the present study will mostly concern to routine data retrieved from the electronic health records of the Basque Health Service-Osakidetza, it will be only shared upon justified request to the study guarantors.

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GG and AS conceived the idea and are the study guarantors. They are primarily responsible for the study design and planning, obtained funding, and will be responsible for project coordination and supervision, analysis and interpretation of results and manuscript preparation. ME, AT and SP collaborated in the study design, obtained funding, and will be responsible for study coordination, interpretation of results and manuscript preparation. AS, GG and AG will be responsible for the analysis of results and critically reviewed the manuscript. The PREDIAPS Group will contribute in the fieldwork of the study regarding patient recruitment, intervention deployment and data collection, yet as this study is an action-research project all collaborators are members of the research team. All contributors approved this version submitted for publication. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Alvaro Sanchez.

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Ethics approval and consent to participate

The research protocol has been approved by the Basque Country Clinical Research Ethics Committee (Ref. no.: 08/2015). The Primary Care Research Unit of Bizkaia is explicitly authorised by the Healthcare Management of the Basque Health System to extract and use data from the electronic health records for research purposes.

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The authors declare that they have no competing interests.

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Sanchez, A., Grandes, G., Pablo, S. et al. Engaging primary care professionals in collaborative processes for optimising type 2 diabetes prevention practice: the PREDIAPS cluster randomised type II hybrid implementation trial. Implementation Sci 13, 94 (2018). https://doi.org/10.1186/s13012-018-0783-0

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