Dataset Information

Context-specific adaptation of an eHealth-facilitated, integrated care model and tailoring its implementation strategies-A mixed-methods study as a part of the SMILe implementation science project.

ABSTRACT:

Background

Contextually adapting complex interventions and tailoring their implementation strategies is key to a successful and sustainable implementation. While reporting guidelines for adaptations and tailoring exist, less is known about how to conduct context-specific adaptations of complex health care interventions.

Aims

To describe in methodological terms how the merging of contextual analysis results (step 1) with stakeholder involvement, and considering overarching regulations (step 2) informed our adaptation of an Integrated Care Model (ICM) for SteM cell transplantatIon faciLitated by eHealth (SMILe) and the tailoring of its implementation strategies (step 3).

Methods

Step 1: We used a mixed-methods design at University Hospital Basel, guided by the Basel Approach for coNtextual ANAlysis (BANANA). Step 2: Adaptations of the SMILe-ICM and tailoring of implementation strategies were discussed with an interdisciplinary team (n = 28) by considering setting specific and higher-level regulatory scenarios. Usability tests were conducted with patients (n = 5) and clinicians (n = 4). Step 3: Adaptations were conducted by merging our results from steps 1 and 2 using the Framework for Reporting Adaptations and Modifications-Enhanced (FRAME). We tailored implementation strategies according to the Expert Recommendations for Implementing Change (ERIC) compilation.

Results

Step 1: Current clinical practice was mostly acute-care-driven. Patients and clinicians valued eHealth-facilitated ICMs to support trustful patient-clinician relationships and the fitting of eHealth components to context-specific needs. Step 2: Based on information from project group meetings, adaptations were necessary on the organizational level (e.g., delivery of self-management information). Regulations informed the tailoring of SMILe-ICM`s visit timepoints and content; data protection management was adapted following Swiss regulations; and steering group meetings supported infrastructure access. The usability tests informed further adaptation of technology components. Step 3: Following FRAME and ERIC, SMILe-ICM and its implementation strategies were contextually adapted and tailored to setting-specific needs.

Discussion

This study provides a context-driven methodological approach on how to conduct intervention adaptation including the tailoring of its implementation strategies. The revealed meso-, and macro-level differences of the contextual analysis suggest a more targeted approach to enable an in-depth adaptation process. A theory-guided adaptation phase is an important first step and should be sufficiently incorporated and budgeted in implementation science projects.

SUBMITTER: Valenta S

PROVIDER: S-EPMC10012712 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

Context-specific adaptation of an eHealth-facilitated, integrated care model and tailoring its implementation strategies-A mixed-methods study as a part of the SMILe implementation science project.

Valenta Sabine S Ribaut Janette J Leppla Lynn L Mielke Juliane J Teynor Alexandra A Koehly Katharina K Gerull Sabine S Grossmann Florian F Witzig-Brändli Verena V De Geest Sabina S

Frontiers in health services 20230217

<h4>Background</h4>Contextually adapting complex interventions and tailoring their implementation strategies is key to a successful and sustainable implementation. While reporting guidelines for adaptations and tailoring exist, less is known about <i>how to conduct</i> context-specific adaptations of complex health care interventions.<h4>Aims</h4>To describe in methodological terms how the merging of contextual analysis results (step 1) with stakeholder involvement, and considering overarching r ...[more]

PMID: 36925799

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Project description:BackgroundDesigning intervention and implementation strategies with careful consideration of context is essential for successful implementation science projects. Although the importance of context has been emphasized and methodology for its analysis is emerging, researchers have little guidance on how to plan, perform, and report contextual analysis. Therefore, our aim was to describe the Basel Approach for coNtextual ANAlysis (BANANA) and to demonstrate its application on an ongoing multi-site, multiphase implementation science project to develop/adapt, implement, and evaluate an integrated care model in allogeneic SteM cell transplantatIon facILitated by eHealth (the SMILe project).MethodsBANANA builds on guidance for assessing context by Stange and Glasgow (Contextual factors: the importance of considering and reporting on context in research on the patient-centered medical home, 2013). Based on a literature review, BANANA was developed in ten discussion sessions with implementation science experts and a medical anthropologist to guide the SMILe project's contextual analysis. BANANA's theoretical basis is the Context and Implementation of Complex Interventions (CICI) framework. Working from an ecological perspective, CICI acknowledges contextual dynamics and distinguishes between context and setting (the implementation's physical location).ResultsBANANA entails six components: (1) choose a theory, model, or framework (TMF) to guide the contextual analysis; (2) use empirical evidence derived from primary and/or secondary data to identify relevant contextual factors; (3) involve stakeholders throughout contextual analysis; (4) choose a study design to assess context; (5) determine contextual factors' relevance to implementation strategies/outcomes and intervention co-design; and (6) report findings of contextual analysis following appropriate reporting guidelines. Partly run simultaneously, the first three components form a basis both for the identification of relevant contextual factors and for the next components of the BANANA approach.DiscussionUnderstanding of context is indispensable for a successful implementation science project. BANANA provides much-needed methodological guidance for contextual analysis. In subsequent phases, it helps researchers apply the results to intervention development/adaption and choices of contextually tailored implementation strategies. For future implementation science projects, BANANA's principles will guide researchers first to gather relevant information on their target context, then to inform all subsequent phases of their implementation science project to strengthen every part of their work and fulfill their implementation goals.

Project description:BackgroundMedication adherence to immunosuppressants in allogeneic stem cell transplantation (alloSCT) is essential to achieve favorable clinical outcomes (e.g. control of Graft-versus-Host Disease). Over 600 apps supporting medication adherence exist, yet they lack successful implementation and sustainable use likely because of lack of end-user involvement and theoretical underpinnings in their development and insufficient attention to implementation methods to support their use in real-life settings. Medication adherence has three phases: initiation, implementation and persistence. We report the theory-driven development of an intervention module to support medication adherence (implementation and persistence phase) in alloSCT outpatients as a first step for future digitization and implementation in clinical setting within the SMILe project (Development, implementation and testing of an integrated care model in allogeneic SteM cell transplantatIon faciLitated by eHealth).MethodsWe applied Michie's Behavior Change Wheel (BCW) and the Capability-Opportunity-Motivation and Behavior (COM-B) model using three suggested stages followed by one stage added by our team regarding preparation for digitization of the intervention: (I) Defining the problem in behavioral terms; (II) Identifying intervention options; (III) Identifying content and implementation options; (IV) SMILe Care Model Prototype Development. Scientific evidence, data from a contextual analysis and patients'/caregivers' and clinical experts' inputs were compiled to work through these steps.Results(I) Correct immunosuppressant taking and timing were defined as target behaviors. The intervention's focus was determined within the COM-B dimensions Capability (lack of knowledge, lack of routine), Opportunity (lack of cues, interruptions in daily routine) and Motivation (lack of problem solving, trivialization). (II) Five intervention functions were chosen, i.e. education, training, modelling, persuasion and enablement. (III) Twenty-four behavior change techniques were selected, e.g., goal setting, action planning and problem solving. (IV) Finally, seventeen user stories were developed to guide the SMILeApp's software development process.ConclusionOur example on the theory-driven development of an intervention module in alloSCT delivered by eHealth and transplant team using a rigorous 3 + 1-stage approach based on BCW, COM-B and agile software development techniques, can be used as methodological guidance for other eHealth intervention developers. Our approach has the potential to enhance successful implementation and sustained use of eHealth solutions in real-life settings.

Project description:BackgroundWhile effectiveness outcomes of eHealth-facilitated integrated care models (eICMs) in transplant and oncological populations are promising, implementing and sustaining them in real-world settings remain challenging. Allogeneic stem cell transplant (alloSCT) patients could benefit from an eICM to enhance health outcomes. To combat health deterioration, integrating chronic illness management, including continuous symptom and health behaviour monitoring, can shorten reaction times. We will test the 1st-year post-alloSCT effectiveness and evaluate bundled implementation strategies to support the implementation of a newly developed and adapted eICM in allogeneic stem cell transplantation facilitated by eHealth (SMILe-ICM). SMILe-ICM has been designed by combining implementation, behavioural, and computer science methods. Adaptions were guided by FRAME and FRAME-IS. It consists of four modules: 1) monitoring & follow-up; 2) infection prevention; 3) physical activity; and 4) medication adherence, delivered via eHealth and a care coordinator (an Advanced Practice Nurse). The implementation was supported by contextually adapted implementation strategies (e.g., creating new clinical teams, informing local opinion leaders).MethodsUsing a hybrid effectiveness-implementation randomised controlled trial, we will include a consecutive sample of 80 adult alloSCT patients who were transplanted and followed by University Hospital Basel (Switzerland). Inclusion criteria are basic German proficiency; elementary computer literacy; internet access; and written informed consent. Patients will be excluded if their condition prevents the use of technology, or if they are followed up only at external centres. Patient-level (1:1) stratified randomisation into a usual care group and a SMILe-ICM group will take place 10 days pre-transplantation. To gauge the SMILe-ICM's effectiveness primary outcome (re-hospitalisation rate), secondary outcomes (healthcare utilization costs; length of inpatient re-hospitalizations, medication adherence; treatment and self-management burden; HRQoL; Graft-versus-Host Disease rate; survival; overall survival rate) and implementation outcomes (acceptability, appropriateness, feasibility, fidelity), we will use multi-method, multi-informant assessment (via questionnaires, interviews, electronic health record data, cost capture methods).DiscussionThe SMILe-ICM has major innovative potential for reengineering alloSCT follow-up care, particularly regarding short- and medium-term outcomes. Our dual focus on implementation and effectiveness will both inform optimization of the SMILe-ICM and provide insights regarding implementation strategies and pathway, understudied in eHealth-facilitated ICMs in chronically ill populations.Trial registrationClinicalTrials.gov. Identifier: NCT04789863 . Registered April 01, 2021.

Project description:PurposeLittle is known about allogeneic stem cell transplant (alloSCT) patients' medication adherence strategies. Acceptability and preferences regarding electronic monitoring (EM) systems to assess all three phases of medication adherence (ie, initiation, implementation, persistence) are crucial to allow their successful implementation in clinical or research settings but have not yet been evaluated. We therefore aimed to explore: 1) alloSCT patients' medication adherence and self-management strategies; and 2) their acceptability and preferences of three different EM systems (MEMS Cap, Helping Hand, Button) as part of the Swiss SMILe study.Patients and methodsRespecting anti-pandemic measures, we used a purposive sample of six adult alloSCT patients from the University Hospital Basel, Switzerland (USB)-6 weeks to 2 years post-alloSCT-to conduct three focus group sessions with two patients each. Using a semi-structured outline, we explored 1) patients' medication adherence strategies and medication self-management; and 2) their acceptance and preferences regarding EM use. The three tested EM systems were available for testing during each session. Discussions were audio-recorded, visualized using mind-mapping and analyzed using Mayring's qualitative content analysis.ResultsPatients (33% females; mean age 54.6±16.3 years; 10.4±8.4 months post-alloSCT) used medication adherence enhancing strategies (eg, preparing pillbox, linking intake to a habit). Still, they indicated that post-alloSCT medication management was challenging (eg, frequent schedule changes). All participants preferred the MEMS Button. Participants said its small size and the possibility to combine it with existing pillboxes (eg, putting it into/next to them) made them more confident about implementing it in their daily lives.ConclusionRegarding EM systems for medication adherence, end-user preferences and acceptability influence adoption and fidelity. Of the three systems tested, our sample found the MEMS Button most acceptable and most preferable. Therefore, we will use it for our USB SMILe study.

Project description:AimThe purpose of this systematic review was to identify key factors that lead to variations in outcome in cardiometabolic interventions among Asian Americans.DesignSystematic review.Review methods and data sourcesIn October 2022, a systematic search was conducted in the following databases: CINAHL, Cochrane, PsycINFO, PubMed and Web of Science. Results of database searches were uploaded to Rayyan for screening of titles, abstracts and full texts. Based on inclusion and exclusion criteria, twelve studies published across seventeen articles between 2002 and 2021 were included in this review. These studies were assessed for bias using the Revised Cochrane Risk of Bias tool.ResultsCultural tailoring was an element of 91.7% of the studies. More than one-third of the studies utilized community health workers to build relationships with the communities being studied. Overall, lifestyle interventions targeted for Asian American populations led to improvements in both physical and psychosocial outcomes such as mental health, self-efficacy, disease knowledge, behavior change and/or quality of life.ConclusionThis systematic review of interventions targeting cardiometabolic outcomes among Asian American populations reveals many gaps in the existing literature. For one, there is limited research on the association of various sociodemographic variables with participants' success and/or retention in health intervention studies among Asian American populations. Interventions utilizing technology have also been lacking with this population and are a potential tool for improving health outcomes.Impact and implicationsDiabetes and cardiovascular disease are both ranked in the top five causes of Asian American deaths. The reviewed articles' findings were mixed but suggest that culturally tailored interventions aimed to improve the cardiometabolic health of Asian Americans are generally effective. As we move forward, this body of research serves as a crucial foundation for shaping the future of culturally tailored interventions, guiding nurse researchers to develop more effective strategies for treating and preventing these prevalent and cardiometabolic conditions.Reporting methodCompleted PRISMA checklist is available upon request.No patient or public contributionThis systematic review better informs future directions for person-centred, community-based and participatory research.

Project description:BackgroundThe impact of both implementation strategies (IS) and evidence-based interventions (EBI) can vary across contexts, and a better understanding of how and why this occurs presents fundamental but challenging questions that implementation science as a field will need to grapple with. We use causal epidemiologic methods to explore the mechanisms of why sharp distinctions between implementation strategies (IS) and efficacy of an evidence-based intervention (EBI) may fail to recognize that the effect of an EBI can be deeply intertwined and dependent on the context of the IS leading to its uptake.MethodsWe explore the use of instrumental variable (IV) analyses as a critical tool for implementation science methods to isolate three relevant quantities within the same intervention context when exposure to an implementation strategy is random: (1) the effect of an IS on implementation outcomes (e.g., uptake), (2) effect of EBI uptake on patient outcomes, and (3) overall effectiveness of the IS (i.e., ~ implementation*efficacy). We discuss the mechanisms by which an implementation strategy can alter the context, and therefore effect, of an EBI using the underlying IV assumptions. We illustrate these concepts using examples of the implementation of new ART initiation guidelines in Zambia and community-based masking programs in Bangladesh.ResultsCausal questions relevant to implementation science are answered at each stage of an IV analysis. The first stage assesses the effect of the IS (e.g., new guidelines) on EBI uptake (e.g., same-day treatment initiation). The second stage leverages the IS as an IV to estimate the complier average causal effect (CACE) of the EBI on patient outcomes (e.g., effect of same-day treatment initiation on viral suppression). The underlying assumptions of CACE formalize that the causal effect of EBI may differ in the context of a different IS because (1) the mechanisms by which individuals uptake an intervention may differ and (2) the subgroup of individuals who take up an EBI may differ. IV methods thus provide a conceptual framework for how IS and EBIs are linked and that the IS itself needs to be considered a critical contextual determinant. Moreover, it also provides rigorous methodologic tools to isolate the effect of an IS, EBI, and combined effect of the IS and EBI.DiscussionLeveraging IV methods when exposure to an implementation strategy is random helps to conceptualize the context-dependent nature of implementation strategies, EBIs, and patient outcomes. IV methods formalize that the causal effect of an EBI may be specific to the context of the implementation strategy used to promote uptake. This integration of implementation science concepts and theory with rigorous causal epidemiologic methods yields novel insights and provides important tools for exploring the next generation of questions related to mechanisms and context in implementation science.

Dataset Information

Context-specific adaptation of an eHealth-facilitated, integrated care model and tailoring its implementation strategies-A mixed-methods study as a part of the SMILe implementation science project.

Background

Aims

Methods

Results

Discussion

Publications

Context-specific adaptation of an eHealth-facilitated, integrated care model and tailoring its implementation strategies-A mixed-methods study as a part of the SMILe implementation science project.

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