Digital solution for salutogenic brain health: a pilot sequential multiple assignment randomised trial (SMART) protocol for clinical implementation
Digital solution for salutogenic brain health: a pilot sequential multiple assignment randomised trial (SMART) protocol for clinical implementation
Middle-aged adults with chronic conditions including diabetes, hyperlipidaemia and hypertension are at higher risk for cognitive decline. However, there is a lack of a targeted solution for this population. This study aims to develop a digital solution for salutogenic brain health targeting this population, assess its clinical effectiveness and evaluate the implementation in primary care settings by local champions, that is, nurses.
A type-I hybrid effectiveness-implementation design with a sequential multiple-assignment randomised trial will be adopted. 160 adults aged 40–64 years old with chronic conditions hypertension, hyperlipidaemia and type-II diabetes will be recruited from three National University Polyclinics in Singapore. They will be randomised using block randomisation to either the intervention group (‘Digital solution for Salutogenic Brain health’ programme) or the waitlist control group. Cognitive tests, clinical measures, questionnaires and interviews will be used to evaluate outcome measures. The Reach, Effectiveness, Adoption, Implementation, Maintenance framework and the Capability, Opportunity, Motivation and Behaviour model will be employed to evaluate clinical effectiveness and implementation strategies.
This study has been reviewed and approved by the National Healthcare Group Domain Specific Review Board (NHG DSRB) in Singapore (NHG DSRB Reference Number: 2023/00620 (25 June 2024)). Data will be analysed by study team members and findings will be published in peer-reviewed journals.
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STRENGTHS AND LIMITATIONS OF THIS STUDY
Middle-aged adults with chronic conditions such as hypertension, hyperlipidaemia and diabetes are at risk for impending cognitive decline, increasing healthcare burden in Singapore health systems.1 Multimorbidity is also common in these patients. Despite this, current clinical practice and research tend to focus on a single disease rather than taking a more holistic approach to patient care.2 3 Hence, many healthcare systems are not able to provide adequate services for patients with multiple conditions.4 5 Furthermore, patients with chronic conditions require longer consultations compared to the usual general practitioner consultation period.6 At times, there is poor communication and delays in clinical consultation, causing dissatisfaction in patients and discontinuity of care.7 8
Digital health solutions could address the above challenges. The shift towards digital healthcare is worldwide9; in Singapore, the digital shift has been highlighted by local healthcare experts and the Ministry of Health.10 This change is further cemented by the COVID-19 pandemic. The use of technology, such as telehealth, offers digital solutions to reduce costs and hospital service utilisation, and to free up resources for more patients requiring complex care. It also nudges patients towards disease self-management—an aspect of digital health provision that requires further study.
Digital solution for Salutogenic Brain health intervention
A digital intervention to address brain health problems upstream for the at-risk population could be a scalable solution. However, such a solution is still lacking in Singapore. ‘Train Your Brain’ (TYB) is a group-based cognitive intervention programme initially delivered in-person for elderly Singaporeans with mild cognitive impairments.11 TYB equips participants with knowledge on cognition and brain health, provides cognitive coping strategies in performing daily tasks, boosts their confidence and maintains independence in daily activities. The TYB programme has been shown to be promising with preliminary efficacy and has since been adapted to community-dwelling stroke survivors to promote brain health.11 12
However, the in-person TYB programme demands more clinical resources and time compared with a digital delivery mode. The COVID-19 pandemic expedited the adoption of digital health solutions.13 Hence, this pilot study will focus on the digital delivery of TYB, that is, Digital solution for Salutogenic Brain health (DiSaB). The DiSaB intervention will be delivered via ZOOM which is easily accessible. Additionally, the DiSaB intervention will be implemented in primary healthcare settings as a routine service led by nurses. The DiSaB intervention is based on the following conceptual frameworks: the Salutogenic approach to health which focuses on origins of health and their supportive factors,14 the Transtheoretical Model (Stages of Change)15 and Bandura’s Social Learning Theory.16 17 It is designed to empower middle-aged individuals for effective self-care, a therapeutic lifestyle and adopting strategies for better cognitive health outcomes.
Management of chronic diseases and cognitive functioning often requires multiple adaptive treatments and interventions at different stages depending on individuals’ disease progression.18–20 These adaptive treatments are also known as dynamic treatment regimens (DTRs).20 Individuals’ responses and adherence to treatments and interventions vary; therefore, what works for one individual may not necessarily work for another, thus requiring alternative, tailored or customised treatment strategies.20 A sequential multiple assignment randomised trial (SMART) design enables the development of quality DTRs or adaptive interventions that can be customised for individual needs over time.21 A SMART study design will be used in this study as it mimics the clinical setting and aids the construction of high-quality DTRs,18 and consequently establishes customised interventions.20 21 Details pertaining to SMART study design can be found in refs. 18–21.
Theoretical framework
The Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) evaluation framework will be used to guide this study.22 The RE-AIM model is one of the most commonly used frameworks for dissemination and implementation research. It allows researchers to pragmatically evaluate and plan the implementation, which is crucial for implementation evaluation and optimisation.23 The RE-AIM framework supports ongoing identification and rectification and can be applied to every stage of the intervention implementation, from discovery, planning, implementation and even the evaluation stages of the intervention.24 Such flexibility will help in identifying crucial delivery points of the DiSaB intervention requiring changes to improve its effectiveness and implementation. The framework will also allow us to evaluate DiSaB with a mixed-method design systematically, in that all the outcome measures can be categorised into the components of RE-AIM.
Capability, Opportunity, Motivation and Behaviour model
Implementing novel healthcare practices requires behavioural changes in healthcare workers and patients. The Capability, Opportunity, Motivation and Behaviour (COM-B) model portrays that the three factors, namely capabilities (individuals’ capacity to engage in a behaviour), opportunities (factors allowing an individual to express a behaviour) and motivations (their willingness to make changes) are critical determinants in enabling change in behaviours towards an implementation.25 26 The associated Behaviour Change Wheel (BCW) framework systematically identifies intervention variables and policy categories capable of motivating behavioural changes supporting intervention implementation. In this study, a behavioural analysis will be guided by the BCW/COM-B model guidelines.25 The analysis will identify variables to achieve desirable uptake and utilisation of the DiSaB intervention, providing insight into the implementation of DiSaB. The term ‘local champions’ refers to nurses and Masters in Nursing students enrolled in this study.
Study aims
This pilot study aims to, first, evaluate the clinical effectiveness of the DiSaB intervention in improving participants’ cognitive functions, clinical measures (blood pressure, lipids and haemoglobin A1c (HbA1c) levels) and psychosocial health (quality of life, self-care for chronic conditions and mood).
The secondary aim is to evaluate the implementation of the DiSaB intervention in primary healthcare settings co-facilitated by local champions via a mixed-method approach.
Hypotheses
It is hypothesised that the DiSaB intervention implementation will be feasible, practical and effective in empowering middle-aged adults to gain knowledge in brain health, take ownership and identify community resources and personal capacities to adopt a healthy lifestyle for better health outcomes.
Furthermore, the DiSaB intervention will be a value-added service in the community, offering nurses a novel intervention to better manage at-risk patients with cognitive complaints and alleviating the issue of manpower shortage.
This is a prospective, theory-driven, pilot, randomised evaluation of the implementation of DiSaB.27 28 The study will be conducted using a SMART design. Block randomisation will be employed in the study via batches.
Through SMART, participants who are not responding well to the initial standard DiSaB intervention can be targeted, and a more adaptive customised intervention strategy can be developed to meet their needs and characteristics. As this is a pilot study, the SMART technique is only employed in the intervention arm group. The DTR elements are as described in table 1. Responders and non-responders will be identified based on their change in Montreal Cognitive Assessment (MoCA) scores during the first postintervention follow-up; non-responders refer to individuals with a MoCA change score of <2 points during this follow-up (compared with baseline), which would indicate no improvement. Responders who have MoCA change scores of ≥2 points will continue with their usual care. Non-responders will be randomly assigned to either an ‘individualised’ health education or ‘group’ DiSaB booster sessions (see figure 1).
Table 1
Description of DTR elements in intervention-armed group using SMART study design
Figure 1
Detailed DiSaB intervention workflow for the ‘intervention arm group’. COM-B, Capability, Opportunity, Motivation and Behaviour; DiSaB, Digital solution for Salutogenic Brain health; MoCA, Montreal Cognitive Assessment; RE-AIM, Reach, Effectiveness, Adoption, Implementation and Maintenance; SDMT, Symbol Digit Modalities Test; TYB, Train-Your-Brain.
The DiSaB intervention in the intervention arm (early group) will be conducted by a clinical neuropsychologist with local champions shadowing and being trained in the administration of DiSaB. Thereafter, the local champions will independently execute the intervention in the control arm (late group) with supervision from trained neuropsychologists. The study design and workflow are depicted in figure 2.
Figure 2
DiSaB-sequential multiple assignment randomised controlled trial (see figures 1 and 3 for detailed description of intervention workflow). DiSaB, Digital solution for Salutogenic Brain health; HE, Health Education; MoCA, Montreal Cognitive Assessment; NUPs, National University Polyclinics.
Figure 3
Detailed DiSaB intervention implementation workflow for the ‘control/later group’. COM-B, Capability, Opportunity, Motivation and Behaviour; DiSaB, Digital Solution for Salutogenic Brain Health; MoCA, Montreal Cognitive Assessment; RE-AIM, Reach, Effectiveness, Adoption, Implementation and Maintenance; SDMT, Symbol Digit Modality Test.
Randomisation
Block sizes of 2 and 4 will be used to randomly assign 160 participants in batches of 40 participants to two groups (intervention and control) with 1:1 allocation. For example, the first batch of 40 participants recruited will be randomised to either intervention (n=20) or control group (n=20), and likewise subsequently. For reproducibility, a random seed will be used. https://www.sealedenvelope.com/simple-randomiser/v1/lists will be used to generate the randomisation and a .csv file will be generated.29 30 The .csv file will include the block identifier, block size and sequence within block and treatment group. Contents will be copied directly to an existing Excel sheet containing participant ID to allocate randomisation to participants by a research team member/research assistant (RA).
Sample size
As this is a pilot study, we did not complete a formal sample size calculation. Based on the study’s funding, resources and research sites available, this study will recruit a total of 160 participants across both the intervention and control arms.
This study will take place in three National University Polyclinics (NUPs) within the National University Healthcare System cluster in Singapore. NUPs are the primary healthcare settings most accessible for all patients, enabling this intervention to reach a larger patient population in the community. This study is planned to commence in March 2025.
Eligible and willing adults will be identified by advanced practice nurses (APNs) or nurses according to the inclusion and exclusion criteria shared with them. Recruitment, explanation of the study, eligibility screening and obtaining informed consent from potential participants will be done by an RA, who will conduct a second round of checking for inclusion and exclusion criteria. Inclusion criteria for patients comprise the following: they are aged 40–64 years old; have a diagnosis of one or more chronic conditions (hypertension, hyperlipidaemia and/or type-2 diabetes; these can be of any level of severity); have a cognitive impairment-based Total Risk Score of at least 331; are able to provide written informed consent; possess sufficient English language skills in reading, writing and speaking; possess at least 3 years of formal education. Multimorbidity with other conditions including chronic kidney disease and heart failure is also acceptable except for life-threatening comorbidities with a life expectancy of less than 1 year. Exclusion criteria include participants with physical, visual and/or hearing impairment, or language impairment (ie, severe dysarthria or aphasia); not within age range; with major or active psychiatric conditions; with diagnosis of dementia; who do not own a mobile device capable of downloading applications and/or do not have access to internet connection.
Nurses of any level (eg, APNs, APN trainee) belonging to any relevant department such as chronic conditions or vascular disease, and Master in Nursing students, all of whom are above 21 years old, will be included in this study to provide implementation data as local champions leading the implementation of the DiSaB intervention. Around 30 local champions will be selected pragmatically based on their availability and willingness to participate in this study.
The DiSaB intervention will consist of 7 weekly sessions and one booster session over a duration of approximately 2 months via the ZOOM application. The DiSaB programme is adapted and modified from our previous TYB programmes and will comprise psychoeducation, cognitive stimulation and take-home activities.11 12 The intervention will first be conducted by clinical neuropsychologists (and other personnel who will be trained by the neuropsychologists) for intervention arm participants. A Zoom recording of each session will be kept securely in a password-protected folder.
Session 1
Participants will be introduced to the programme. They are encouraged to share their experiences and thoughts with each other and participate in activities during the session, complete homework tasks and set Specific, Measurable, Achievable, Realistic and Timed (SMART) goals at the end of every session. Each session will begin with a recap of the previous session. In this session, participants will learn about normal ageing and to identify common cognitive problems related to chronic conditions. They will then receive psychoeducation about the causes and effects of memory and thinking difficulties and be encouraged to share if they experience changes in cognition (eg, being slower at work). Lastly, they will set SMART goals for retention and improvement of cognition.
Session 2
Participants will be provided with psychoeducation about the importance of a healthy lifestyle to improve cognition. They will also learn about common risk factors impacting brain health including chronic diseases (eg, diabetes, heart disease, high blood pressure and cholesterol), poor sleep and diet, lack of physical activity, low social engagement and mood difficulties. They will learn how to address these risk factors and adopt techniques to improve their lifestyle habits (eg, improving their diet, sleep strategies).
Session 3
This session will focus on psychoeducation of the relationship between mood, fatigue and cognitive difficulties. Participants will learn how to recognise physical and behavioural symptoms of common mood issues, including depression, anxiety and stress. Participants will engage in a group discussion to share their emotional journeys of learning and coping with their chronic diseases. They will also learn how mood issues will impact their daily cognitive functioning.
Session 4
Participants will learn techniques and strategies to manage their mood and fatigue to consequently manage their cognitive functioning, including cognitive behavioural therapy theories and mindfulness techniques. The facilitator will conduct a mindfulness exercise and provide psychoeducation on engaging in mindfulness activities independently. Participants will finally be tasked to set a goal to have a ‘Better Mood, Sharper Brain’ and to execute their chosen plan.
Session 5
This session will focus on memory and attention. Participants will receive psychoeducation about the different types of attention, including sustained, selective and divided attention. The facilitator will share strategies and practical skills on improving focus, including following a routine, setting the most appropriate time for activities, concentrating on one task at a time, minimising distractions and managing mood. Participants will learn about the importance of attention and memory processes.
Session 6
This session will focus on executive functioning (ie, higher-order thinking skills), including working memory, planning and organisation. Participants will learn about how executive functioning difficulties impact other cognitive skills, such as memory. Facilitators will provide psychoeducation about the importance of planning and organisational skills and teach strategies on improving these skills.
Session 7
This session will involve discussing the application of cognitive strategies learnt thus far. Participants will engage in a group discussion on the common cognitive difficulties they experience in their daily lives and at work, and the steps taken to improve these difficulties. The facilitator will encourage participants to build awareness and acceptance of their new cognitive issues. Participants will also reflect on what new cognitive strategies they can potentially implement into their daily lives; common cognitive strategies include building routines and structures, improving the environment around us and managing mood. Furthermore, the facilitator will encourage participants to set SMART goals to apply these skills (eg, in the workplace or home).
Session 8
Participants will be asked to share their progress and experiences with the group, while referencing concepts and skills learnt during the programme. They will be given one final review of the takeaways from previous sessions and be encouraged to continue practising the strategies learnt during the programme for better brain health.
Each session will consist of 20–22 participants and 2 local champions and will take approximately 1 hour (see figure 1 for DiSaB intervention arm workflow). The eight sessions will take place on the same day each week, and participants will remain in the same group throughout. Due to time constraints, local champions would only be present at four out of the eight sessions; in the intervention arm, they will observe four sessions of the intervention and receive training by the clinical neuropsychologists. Subsequently, non-responders will be randomly assigned to ‘individualised’ health education or ‘group’ DiSaB booster sessions via Zoom as DTRs. Participants in the ‘individualised’ group will receive a single one-on-one health education feedback session within 1–2 months post-DiSaB intervention, while participants in ‘group’ health education sessions will receive three group DiSaB-based booster sessions over a period of 3 months (ie, once per month).
Participants in the waitlist/control arm will receive the DiSaB intervention facilitated by local champions at a later time (see figure 3 for DiSaB control arm workflow). All local champions will have received training, supervision and shadowing (during the earlier intervention arm) before executing the intervention in the waitlist arm independently with some supervision from trained neuropsychologists. During local champions’ independent execution of the intervention, regular consultancy and supervision with the clinical neuropsychologists will be held weekly to support them and address any difficulties or queries.
Potential limitations of the DiSaB intervention include technology glitches, such as poor internet connection, which could affect the quality of the intervention executed by local champions. Some middle-aged adults may also not be as tech-savvy and could have some difficulties manoeuvring the Zoom app. Furthermore, participants may drop out during the intervention cycle due to time constraints in completing all sessions. This may demotivate the local champions, and consequently possibly slow down implementation; therefore, exploring how best to maintain engagement of both providers and patients will be a critical aspect of studying the implementation of DiSaB.
To increase awareness of the DiSaB intervention among healthcare workers and communities, posters will be placed around the various NUPs. Email newsletters will also be circulated to share with clinicians and allied healthcare workers about the programme. We are particularly interested in reaching out to nurses and doctors to create awareness on the DiSaB intervention to refer patients with chronic conditions into the programme as a routine service, to start developing a post-trial implementation pathway assuming successful completion of the study and positive results. Presentations will also be conducted during the in-service meetings at NUPs on a regular basis or roll call to encourage scaling up and sustaining the DiSaB intervention.
There is no patient or public involvement at this stage. This pilot study will only involve conducting research on and collecting data from patient participants and local champions.
The evaluation and assessment of this study’s clinical effectiveness and implementation strategies are guided by the RE-AIM framework. Data will be collected from both patient participants and local champions through various methods to support the analysis of the RE-AIM of the DiSaB intervention programme (online supplemental table 1).
First, participants will complete a demographic survey at baseline. They will complete the cognitive tests MoCA and Symbol Digit Modalities Test (SDMT), report their clinical health measures (eg, lipid levels) and complete surveys on their psychosocial health, quality of life and health-related costs at baseline, as well as immediately and 6 months after the intervention. The cost survey will enquire about out-of-pocket costs incurred privately by patients and their families from the use of health services including contacts in primary care, outpatients, emergency services and inpatient admissions.
Participants will complete a satisfaction survey after every DiSaB session and a survey based on the RE-AIM framework22—questions include the perceived difficulty and effectiveness of the DiSaB programme—immediately and 6 months after the intervention. They will also participate in a focus group discussion (FGD) 6 months after the intervention.
Before shadowing and facilitating the DiSaB intervention, local champions will complete a baseline survey, based on the Pragmatic Robust Implementation and Sustainability Model (PRISM) framework,22 about the current situation surrounding cognitive care in primary healthcare settings. The PRISM framework comprises four components: (1) perspectives on the intervention; (2) characteristics of implementers, their settings and those receiving the intervention; (3) external environment and (4) implementation and sustainability infrastructure, and it can be applied to study contextual factors before an intervention. Observers will attend and assess the quality and fidelity of the DiSaB implementation using a checklist. After every DiSaB session shadowed and facilitated, and 6 months after the intervention, local champions will complete two surveys—one based on the RE-AIM framework and the second based on COM-B. The RE-AIM survey for local champions includes questions such as their perceived effectiveness of the intervention and opinion about sustaining and scaling up the programme, while the COM-B survey includes questions such as the problems faced during the intervention and their perceived ability to hold the intervention sessions.
The COM-B model will be used to explore the barriers and facilitators for sustainable behavioural change towards DiSaB intervention implementation in local champions through behavioural analysis (see table 2). The application of COM-B will allow us to develop a coherent implementation framework, through the identification of appropriate behaviour change techniques as required for the intervention implementation.32 33
Table 2
COM-B model and application in DiSaB intervention study
A list of the PRISM, RE-AIM and COM-B survey questions can be found in online supplemental tables 2–5. Local champions will also attend an FGD at the end of the intervention, where they will be asked to share their experiences and opinions regarding the DiSaB programme.
Primary and secondary effectiveness outcomes
The primary effectiveness outcome is the change in participants’ cognition after the DiSaB intervention, as measured by the change in MoCA and SDMT scores preintervention and postintervention. The MoCA (Singaporean version34) is a brief standardised cognitive test which scores individuals on their ability in visuo-executive functioning, naming, attention, language proficiency, abstraction ability, delayed recall and orientation. Better cognitive performance is reflected by higher MoCA scores, with a maximum score of 30. SDMT35 is another standardised test assessing individuals’ cognitive ability, particularly in the attention and information processing speed domains. Test takers are presented with a key on the top of the page where each digit from 1 to 9 is represented by a unique symbol. The rest of the page shows multiple rows of symbols with empty boxes below each symbol, and individuals are given 90 s to write down as many corresponding numbers in the empty boxes as they can, as fast as possible. Once again, better performance is reflected by a higher score. The MoCA has been shown to have high reliability and validity, and when used together with SDMT provides a more accurate reflection of cognitive impairment.36 37 The MoCA and SDMT will be administered by RAs trained by a clinical neuropsychologist.
Secondary outcomes include the proportion of participants who respond to DiSaB, as well as changes in their quality of life, psychosocial health and clinical measures when compared between preintervention and postintervention, as mood, physical health and cognitive function have been shown to be highly intercorrelated. The percentage of participants whose MoCA scores increase by at least 2, 6 months after the intervention, would be used to evaluate the proportion of participants who respond to DiSaB.
Quality of life and psychosocial health will be measured by the following questionnaires: EuroQoL 5-Dimension 5-Level (EQ-5D-5L)38; Depression, Anxiety and Stress Scale-2139; Eight-item Informant Interview to Differentiate Ageing and Dementia,40 and a Self-care of Chronic Illness Inventory.41 These questionnaires are highly used internationally and have been validated across multiple contexts.42 43 These questionnaires have been chosen to evaluate a comprehensive range of psychosocial functions in participants recruited in this study. Clinical measures to be collected include systolic and diastolic blood pressure, and total lipid, high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides and HbA1c levels.
Implementation outcomes of DiSaB intervention
Reach
Under the scope of this study, reach refers to the number and representativeness of participants reached by the DiSaB intervention. Reach outcome measures will be taken using data from the participant demographic form, such as the percentage of male participants, the distribution of ethnicities and percentage of participants with only one chronic condition or multiple conditions. Factors affecting participation will also be taken from RE-AIM surveys, including eligible participants’ reasons for not enrolling into the study, and patients and local champions’ opinions about the enrolment process.
Adoption
Adoption refers to the numbers and representativeness of polyclinics and local champions who are willing to support the implementation of DiSaB. The representativeness of sites and local champions will be measured using the proportion of polyclinics involved, the sex and job distribution of local champions, and the percentage of local champions who have certain baseline opinions and behaviours as reported in the baseline survey. We will evaluate participants’ willingness to recommend the programme and local champions’ opinion about adopting the programme, as seen from the baseline, RE-AIM and COM-B surveys.
Implementation
Implementation is defined as the fidelity and quality of the intervention, as well as the time and cost involved in implementing the intervention. We will assess fidelity and quality using the eNACT Group Facilitation Competency Checklist completed by observers of the intervention, and from participants’ reported takeaways from the programme as collected in the participant RE-AIM survey.44 The time and cost of facilitating the intervention will be collected from the RE-AIM survey for local champions.
Maintenance
Maintenance studies the extent to which the DiSaB intervention can be implemented routinely in primary care settings sustainably and with the potential for scaling up. The attrition rate will be calculated to examine if the programme can be maintained over time for participants. We will also study participants and local champions’ opinions about the sustainability, scalability and long-term effects of the DiSaB intervention from the baseline, RE-AIM and COM-B surveys. Content from the FGDs will be studied to better understand these Reach, Adoption, Implementation and Maintenance aspects of intervention implementation.
This is a mixed-method study; contextual implementation data will be collected throughout the intervention implementation. Qualitative and quantitative data will be collected through various means such as questionnaires and FGDs. For quantitative data, descriptive and inferential statistical analyses will be adopted using SPSS or STATA, while qualitative data will be analysed using thematic analysis and content analysis using NVivo.
Analysis plan for effectiveness
The effectiveness of the intervention will be addressed by the SMART using two comparisons: (1) the effectiveness of DiSaB vs waitlist for patients and (2) the effectiveness of the following two DTRs versus waitlist:
First-stage treatment by DiSaB; if patients respond to DiSaB, then continue with usual care; if patients do not respond to DiSaB, then give individual education.
All continuous outcomes addressing the first comparison will be measured as mean difference (MD) and estimated by general linear regression models, adjusting for key prognostic factors, while all continuous outcomes addressing the second question will be measured as MD and estimated by inverse-probability-weighted general linear regression models, accounting for the under-representation of patients who do not respond to the first-stage DiSaB and adjusting for key prognostic factors.
All binary outcomes addressing the first question will be measured as risk ratio (RR) analysed by log binomial regression models, adjusting for key prognostic factors, while all binary outcomes addressing the second primary question will be measured as RR and estimated by inverse-probability-weighted log binomial regression models, accounting for the under-representation of patients who do not respond to the first-stage DiSaB. The subject of the analyses for these outcomes (ie, patient participants or local champions) is in online supplemental table 1.
We will collect the cost of the intervention and the quality-of-life measures of patients to assess the feasibility of a formal cost-effectiveness analysis. The cost of the intervention will be measured by a cost survey and analysed as mean and SD. Quality of life will be measured by EQ-5D-5L, transformed to health-related quality of life using a value set developed for Malaysians—there is no existing value set for Singaporeans, hence we will use the value set from culturally similar Malaysia—and measured by mean and SD.45 No further comparisons will be conducted as we will not be performing a formal cost-effectiveness analysis.
Analysis plan for implementation outcomes
Quantitative implementation outcome measures from the baseline, RE-AIM and COM-B survey results will be analysed using descriptive statistics. We will extract the mean score of the survey results (on a scale of 1–5). Percentages will be calculated for outcome measures relating to proportion and representativeness. Fidelity and quality of the intervention will be analysed from the eNACT checklist overall score, taken by totalling the scores across items and dividing by the number of applicable items. Each item can receive a possible score of 0, 1 or 2. FGDs will be recorded on Zoom and transcribed in full before being analysed using thematic analysis in NVivo according to best-practice guidelines by Braune and Clarke.46 Transcripts will be coded by study team members and organised into themes and subthemes based on codes that frequently appear. We will engage in an iterative process of reviewing and refining the codes and themes as part of a mind map, then define each theme clearly and report on the finalised set of themes. The subject of the analyses for these implementation outcomes (ie, patient participants or local champions) is in online supplemental table 1.
To our knowledge, there are few studies about digital intervention implementation to improve cognitive health in a middle-aged population with vascular risk factors (diabetes, hypertension and hyperlipidaemia). This pilot study could test its feasibility and effectiveness, as well as provide insights for scaling up the digital intervention implementation through the identification of barriers and facilitators.
However, as this is a pilot study focusing on patients with chronic diseases in primary care, the results may not be generalisable to other conditions or contexts. Furthermore, this is a digital intervention consisting of 8–11 sessions, hence coordinating a common timeslot with participants and local champions may be a challenge. The level of impact is likely dependent on the variety of adopters, in terms of their motivation level, delivery styles and potentially their roles. At the same time, this study is novel and has several strengths. First, a digital intervention for promoting brain health in middle-aged populations at risk for cognitive decline is novel and strategic in addressing the rising ageing population in Asia and globally. Second, the study is designed to incorporate stakeholders from within the healthcare system to be directly involved with our target population. Third, the findings from this study have direct relevance to the stakeholders in primary care and can be translated and implemented at a larger scale. The findings could also potentially be applied to other healthcare institutions, for example, community hospitals.
The study has been reviewed and approved by the Domain Specific Review Board (DSRB) of National Healthcare Group (NHG) in Singapore. Written informed consent or e-consent will be obtained from all participants from trained team members. While the DiSaB intervention is non-intrusive, participants may feel some fatigue or stress during the cognitive assessments and/or intervention sessions, and they will be advised to take regular breaks to reduce this.
All data collected, managed, stored and archived shall adhere to NHG DSRB requirements. Data collected electronically will be stored in password-protected drives linked with the National University of Singapore and will be made accessible only to researchers of the study. An independent team will monitor all data collected for this study. Any adverse events will also be recorded systematically. Auditing may be conducted by external auditors at any point in time throughout the study period. Any data analysis performed will use deidentified data to protect the confidentiality of participants and local champions. Protocol amendments, if any, will be sent for approval to DSRB and communicated to all affected participants and parties. Data analysis will be completed by the study team, and findings will be published in peer-reviewed journals and disseminated in scientific presentations and conferences for both academic and clinical professionals.
As the DiSaB intervention is novel, future studies could refine the present intervention based on the survey and FGD results. It could also be valuable to study if results can be replicated in adults of different age groups who are also at risk of cognitive decline. If proven feasible, practical and with preliminary effectiveness, the DiSaB could be tested in a larger trial and scaled up nationwide to empower patients in taking ownership of their cognitive health. This pilot study will pave the way for us to prepare for a large-scale health service and implementation science research project in the future. To facilitate the scaling up, we will work with various stakeholders and incorporate the DiSaB intervention in nurses’ training and Continuing Education and Training courses to better prepare the healthcare workforce in addressing population health issues related to ageing and cognitive decline.
Not applicable.
The authors would like to acknowledge the collaborative support of colleagues at the National University Polyclinics, Singapore.