Demystifying diabetes health coaching: A scoping review unveiling the 'who' and 'where' of health coaching for adults with type 2 diabetes.

Type 2 diabetes (T2D) is a complex chronic condition that requires ongoing self-management. Diabetes health coaching interventions provide personalized healthcare programming to address physical and psychosocial aspects of diabetes self-management. AIMS: This scoping review aims to explore the contexts and settings of diabetes health coaching interventions for adults with T2D, using the RE-AIM framework. METHODS: A search was completed in MEDLINE, PsycINFO, Emcare, Embase and Cochrane. Included citations described adults with exclusively T2D who had received a health coaching intervention. Citations were excluded if they focused on any other types of diabetes or diabetes prevention. RESULTS: A total of 3418 records were identified through database and manual searches, with 29 citations selected for data extraction. Most health coaching interventions were delivered by health professionals, many employed lay health workers and a few included peer coaches. While many health coaching interventions were delivered remotely, in-person intervention settings were distributed among primary care, community health settings and non-healthcare sites. CONCLUSION: The findings of this review suggest that diabetes health coaching may be implemented by a variety of providers in different settings. Further research is required to standardize training and implementation of health coaching and evaluate its long-term effectiveness.

Partnered Recruitment: Engaging Individuals With Lived Experience in the Recruitment of Co-Design Participants.

BACKGROUND: Young adults with type 1 diabetes (T1D) face complex health challenges, including a heightened risk for distress. To counter this distress, there is a need to develop accessible, acceptable comprehensive care solutions that integrate diabetes and mental health care to enhance self-efficacy and counter mental health challenges in this population. OBJECTIVE: To describe the engagement of individuals with lived experience of T1D and mental health challenges in the development of a recruitment strategy to support the co-design of an innovative integrated care programme. RESULTS: Seven individuals with lived experience formed a Partner Advisory Council (PAC) to recruit young adults (18-29 years old) living with T1D, their friends or family and health researchers and professionals in co-design interviews (n = 19) and co-design events (n = 12). The PAC played a key role in developing a comprehensive recruitment strategy, overcoming traditional barriers and stigmas in the design of an integrated model of care. CONCLUSION: Assuming the presence of mental health challenges in young adults living with T1D during recruitment had far-reaching impacts on the development of a whole-person and integrated diabetes and mental health care solution. The efficient recruitment of this sample provided invaluable insights into the nuanced challenges experienced by young adults with T1D, the individual skills developed in response to their mental health challenges and the ways that this understanding can shape future programming to support mental health, quality of life and well-being. The ongoing involvement of the PAC as co-researchers underscores the enduring impact of patient engagement in developing integrated care solutions. PATIENT OR PUBLIC CONTRIBUTION: The co-design of the TECC-T1D3 model was enriched by the invaluable contributions of individuals with lived experience. This included the engagement of a diverse PAC in the recruitment of participants in co-design interviews and co-design events. PAC members actively participated in research decision-making with their insights informing a robust recruitment strategy. Beyond recruitment, PAC members continue to serve as co-researchers, shaping ongoing research and actively contributing to the TECC-T1D3 project. Six PAC members are co-authors on this manuscript.

Critically appraising and utilising qualitative health research evidence in nutrition practice.

BACKGROUND: Evidence-based decision-making and practice recommendations are commonly based on findings from quantitative studies or reviews. In the present study, we provide an overview of how to incorporate findings from qualitative research into the evidence-based decision-making process. METHODS: To illustrate how qualitative evidence can be integrated into the decision-making process, we have outlined a clinical nutrition scenario and the process for sourcing credible evidence to inform decision-making. A qualitative health research study was selected and appraised using the Critical Appraisal Skill Programme (CASP) appraisal tool for qualitative research. Based on the results of the critical appraisal, the study quality is considered, and we discuss whether the qualitative evidence can be applied to practice. RESULTS: A detailed description of how the qualitative findings can be used conceptually and instrumentally in practice to address the clinical nutrition scenario is provided. CONCLUSIONS: Developing skills in critically appraising findings from qualitative studies will increase awareness and utilisation of this type of evidence in practice and policy, with a goal to ensure that patient/client perceptions are considered, leading to enhanced person-centred care or systems.

How do individual, social, environmental, and resilience factors shape self-reported health among community-dwelling older adults: a qualitative case study.

BACKGROUND: While older adults are living longer, they often face health challenges, including living with multiple chronic conditions. How older adults respond and adapt to the challenges of multimorbidity to maintain health and wellness is of increasing research interest. Self-reported health, emerging as an important measure of health status, has broad clinical and research applications, and has been described as a predictor of future morbidity and mortality. However, there is limited understanding of how individual, social, and environmental factors, including those related to multimorbidity resilience, influence self-reported health among community-dwelling older adults (≥ 65 years). METHODS: Informed by the Lifecourse Model of Multimorbidity Resilience, this explanatory case study research explored older adults' perceptions of how these factors influence self-reported health. Data were generated through semi-structured telephone interviews with community-dwelling older adults. RESULTS: Fifteen older adults participated in this study. Four key themes, specific to how these older adults describe individual, social, environmental, and multimorbidity resilience factors as shaping their self-reported health, were identified: 1) health is a responsibility - "What I have to do"; 2) health is doing what you want to do despite health-related limitations - "I do what I want to do"; 3) the application and activation of personal strengths - "The way you think", and; 4) through comparison and learning from others - "Looking around at other people". These themes, while distinct, were found to be highly interconnected with recurring concepts such as independence, control, and psychological health and well-being, demonstrating the nuance and complexity of self-reported health. CONCLUSIONS: Findings from this study advance understanding of the factors that influence assessments of health among community-dwelling older adults. Self-reported health remains a highly predictive measure of future morbidity and mortality in this population, however, there is a need for future research to contribute additional understanding in order to shape policy and practice.

The stroke transitional care intervention for older adults with stroke and multimorbidity: a multisite pragmatic randomized controlled trial.

BACKGROUND: This study aimed to test, in real-world clinical practice, the effectiveness of a Transitional Care Stroke Intervention (TCSI) compared to usual care on health outcomes, self-management, patient experience, and health and social service use costs in older adults (≥ 55 years) with stroke and multimorbidity (≥ 2 chronic conditions). METHODS: This pragmatic randomized controlled trial (RCT) included older adults discharged from hospital to community with stroke and multimorbidity using outpatient stroke rehabilitation services in two communities in Ontario, Canada. Participants were randomized 1:1 to usual care (control group) or usual care plus the 6-month TCSI (intervention group). The TCSI was delivered virtually by an interprofessional (IP) team, and included care coordination/system navigation support, phone/video visits, monthly IP team conferences, and an online resource to support system navigation. The primary outcome was risk of hospital readmission (all cause) after six-months. Secondary outcomes included physical and mental functioning, stroke self-management, patient experience, and health and social service use costs. The intention-to-treat principle was used to conduct the primary and secondary analyses. RESULTS: Ninety participants were enrolled (44 intervention, 46 control); 11 (12%) participants were lost to follow-up, leaving 79 (39 intervention, 40 control). No significant between-group differences were seen for baseline to six-month risk of hospital readmission. Differences favouring the intervention group were seen in the following secondary outcomes: physical functioning (SF-12 PCS mean difference: 5.10; 95% CI: 1.58-8.62, p = 0.005), stroke self-management (Southampton Stroke Self-Management Questionnaire mean difference: 6.00; 95% CI: 0.51-11.50, p = 0.03), and patient experience (Person-Centred Coordinated Care Experiences Questionnaire mean difference: 2.64, 95% CI: 0.81, 4.47, p = 0.005). No between-group differences were found in total healthcare costs or other secondary outcomes. CONCLUSIONS: Although participation in the TCSI did not impact hospital readmissions, there were improvements in physical functioning, stroke self-management and patient experience in older adults with stroke and multimorbidity without increasing total healthcare costs. Challenges associated with the COVID-19 pandemic, including the shift from in-person to virtual delivery, and re-deployment of interventionists could have influenced the results. A larger pragmatic RCT is needed to determine intervention effectiveness in diverse geographic settings and ethno-cultural populations and examine intervention scalability. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04278794 . Registered May 2, 2020.

A framework for selecting data generation strategies in qualitative health research studies.

BACKGROUND: Qualitative health research has the potential to answer important applied health research questions to inform nutrition and dietetics practice, education and policy. Qualitative health research is a distinct subdiscipline of qualitative inquiry that purposefully draws upon the context of healthcare and emphasises health and wellness. METHODS: Qualitative health research is defined by two parameters: (1) the focus of the study and (2) the methods used. When considering the methods to be used, decisions are required about the type of data to be generated (e.g., transcripts, images and notes) and the process involved in data generation (e.g., interviews, elicitation strategies and observations) to answer the research question(s). Drawing upon examples from nutrition and dietetics literature, this paper provides a framework to support decision-making for nutrition and dietetics researchers and clinician researchers designing conducting qualitative health research. RESULTS: The guiding questions of the framework include: What types of data will be generated? Who is involved in data generation? Where will data generation occur? When will data generation occur? How will data be recorded and managed? and How will participants' and researchers' emotional safety be promoted? CONCLUSION: Questions about the types of data, those involved, where and when, as well as how safety can be maintained in data generation, not only support a more robust design and description of data generation methods but also keep the person at the centre of the research.

Self-reported health and the well-being paradox among community-dwelling older adults: a cross-sectional study using baseline data from the Canadian Longitudinal Study on Aging (CLSA).

BACKGROUND: Self-reported health is a widely used epidemiologic measure, however, the factors that predict self-reported health among community-dwelling older adults (≥65 years), especially those with multimorbidity (≥2 chronic conditions), are poorly understood. Further, it is not known why some older adults self-report their health positively despite the presence of high levels of multimorbidity, a phenomenon known as the well-being paradox. The objectives of this study were to: 1) examine the factors that moderate or mediate the relationship between multimorbidity and self-reported health; 2) identify the factors that predict high self-reported health; and 3) determine whether these same factors predict high self-reported health among those with high levels of multimorbidity to better understand the well-being paradox. METHODS: A cross-sectional analysis of baseline data from the Canadian Longitudinal Study on Aging was completed (n = 21,503). Bivariate stratified analyses were used to explore whether each factor moderated or mediated the relationship between multimorbidity and self-reported health. Logistic regression was used to determine the factors that predict high self-reported health in the general population of community-dwelling older adults and those displaying the well-being paradox. RESULTS: None of the factors explored in this study moderated or mediated the relationship between multimorbidity and self-reported health, yet all were independently associated with self-reported health. The 'top five' factors predicting high self-reported health in the general older adult population were: lower level of multimorbidity (odds ratio [OR] 0.75, 95% confidence interval [CI] 0.74-0.76), female sex (OR 0.62, CI 0.57-0.68), higher Life Space Index score (OR 1.01, CI 1.01-1.01), higher functional resilience (OR 1.16, CI 1.14-1.19), and higher psychological resilience (OR 1.26, CI 1.23-1.29). These same 'top five' factors predicted high self-reported health among the subset of this population with the well-being paradox. CONCLUSIONS: The factors that predict high self-reported health in the general population of older adults are the same for the subset of this population with the well-being paradox. A number of these factors are potentially modifiable and can be the target of future interventions to improve the self-reported health of this population.

Advancing qualitative health research approaches in applied nutrition research.

Applied health research methods are evolving to meet the demands of increasingly complex health research needs. Qualitative health research, focused on individual perspectives of health, wellness, illness and recovery, has emerged as a unique discipline of this field. With distinct foci, methods and rules, qualitative health research has the potential to answer applied health research questions to inform practice, education and policy. Despite this potential, there are challenges to the application of qualitative health research methods in nutrition and dietetics research. These include limited training and mentorship availability for the rigorous application of these methods, as well as misaligned goals between the traditional social science-based qualitative approaches and emerging applied nutrition science needs. Recognising these limitations, this review aims to provide guidance to the nutrition scientist conducting applied qualitative health research. Using nutrition and dietetic examples from the literature, this review defines qualitative health research and advances the Emphasis-Purposeful sample-Phenomenon of interest-Context (EPPiC) framework as a tool for constructing structured overarching research questions and introduces four qualitative health research designs (qualitative description, interpretive description, case study and focused ethnography) relevant to applied nutrition science. This includes guidance on defining the sample, identifying strategies for data collection, analytic techniques and data reporting.

Study protocol for a hospital-to-home transitional care intervention for older adults with multiple chronic conditions and depressive symptoms: a pragmatic effectiveness-implementation trial.

BACKGROUND: Older adults (> 65 years) with multiple chronic conditions (MCC) and depressive symptoms experience frequent transitions between hospital and home. Care transitions for this population are often poorly coordinated and fragmented, resulting in increased readmission rates, adverse medical events, decreased patient satisfaction and safety, and increased caregiver burden. There is a dearth of evidence on best practices in the provision of transitional care for older adults with MCC and depressive symptoms transitioning from hospital-to-home. This paper presents a protocol for a two-armed, multi-site pragmatic effectiveness-implementation trial of Community Assets Supporting Transitions (CAST), an evidence-informed nurse-led six-month intervention that supports older adults with MCC and depressive symptoms transitioning from hospital-to-home. The Collaborative Intervention Planning Framework is being used to engage patients and other key stakeholders in the implementation and evaluation of the intervention and planning for intervention scale-up to other communities. METHODS: Participants will be considered eligible if they are > 65 years, planned for discharged from hospital to the community in three Ontario locations, self-report at least two chronic conditions, and screen positive for depressive symptoms. A total of 216 eligible and consenting participants will be randomly assigned to the control (usual care) or intervention (CAST) arm. The intervention consists of tailored care delivery comprising in-home visits, telephone follow-up and system navigation support. The primary measure of effectiveness is mental health functioning of the older adult participant. Secondary outcomes include changes in physical functioning, depressive symptoms, anxiety, perceived social support, patient experience, and health and social service use and cost, from baseline to 6- and 12-months. Caregivers will be assessed for caregiver strain, depressive symptoms, anxiety, health-related quality of life, and health and social service use and costs. Descriptive and qualitative data from older adult and caregiver participants, and the nurse interventionists will be used to examine implementation of the intervention, how the intervention is adapted within each study region, and its potential for sustainability and scalability to other jurisdictions. DISCUSSION: A nurse-led transitional care strategy may provide a feasible and effective means for improving health outcomes and patient/caregiver experience and reduce service use and costs in this vulnerable population. TRIAL REGISTRATION: # NCT03157999 . Registration Date: April 4, 2017.

Preparing for patient partnership: A scoping review of patient partner engagement and evaluation in research.

BACKGROUND: Realizing patient partnership in research requires a shift from patient participation in ancillary roles to engagement as contributing members of research teams. While engaging patient partners is often discussed, impact is rarely measured. OBJECTIVE: Our primary aim was to conduct a scoping review of the impact of patient partnership on research outcomes. The secondary aim was to describe barriers and facilitators to realizing effective partnerships. SEARCH STRATEGY: A comprehensive bibliographic search was undertaken in EBSCO CINAHL, and Embase, MEDLINE and PsycINFO via Ovid. Reference lists of included articles were hand-searched. INCLUSION CRITERIA: Included studies were: (a) related to health care; (b) involved patients or proxies in the research process; and (c) reported results related to impact/evaluation of patient partnership on research outcomes. DATA EXTRACTION AND SYNTHESIS: Data were extracted from 14 studies meeting inclusion criteria using a narrative synthesis approach. MAIN RESULTS: Patient partners were involved in a range of research activities. Results highlight critical barriers and facilitators for researchers seeking to undertake patient partnerships to be aware of, such as power imbalances between patient partners and researchers, as well as valuing of patient partner roles. DISCUSSION: Addressing power dynamics in patient partner-researcher relationships and mitigating risks to patient partners through inclusive recruitment and training strategies may contribute towards effective engagement. Further guidance is needed to address evaluation strategies for patient partnerships across the continuum of patient partner involvement in research. CONCLUSIONS: Research teams can employ preparation strategies outlined in this review to support patient partnerships in their work.

Impact of nurse scientist-led digital health interventions on management of chronic conditions.

BACKGROUND: Chronic conditions are a major contributor to the burden of disease worldwide. Using innovative digital health technologies, nurse scientists are well-positioned to lead efforts to reduce the burden of chronic conditions on individuals, communities, and systems. PURPOSE: The purpose of this review was to summarize the outcomes commonly measured in nurse-led digital health interventions that target chronic conditions and pose recommendations for the education of future nurse scientists to lead these studies. METHODS: A rapid review of the literature was completed using CINAHL and Ovid Emcare. Studies were included if the research: a) was led by a nurse; b) described outcomes of a digital health intervention; and c) included any population with a prevalent chronic condition. FINDINGS: 26 studies were included in this review. Nurse-led digital health interventions are being used to support and manage a range of chronic conditions in varied settings. DISCUSSION: Digital health interventions are changing the delivery of healthcare for individuals living with chronic conditions. These interventions are bridging the gaps between the digital and physical worlds and are rapidly evolving. CONCLUSION: The recommendations posed in this review reiterate the importance of robust content and methods education for nurse scientists to address future research needs in a digital era.

The Similarities and Differences in Transition to Practice Experiences for New-Graduate RNs and Practical Nurses in Long-term Care.

OBJECTIVE: The aim of this study was to describe the transition-to-practice experience of new-graduate nurses (NGNs) in long-term-care (LTC) settings. BACKGROUND: Transitioning to professional practice is a challenging time for an NGN. This experience is scarcely described for RNs outside of acute care settings and not described for the LPN. METHODS: A qualitative case study was used to explore the described transition-to-practice experience of new-graduate RNs and LPNs in LTC. RESULTS: This study revealed that the transition-to-practice experience of new-graduate LPNs was similar to the experience described by RNs. Differences in experience were related to leadership roles in the setting. CONCLUSIONS: Findings contribute to new understanding of the experience of the NGN in LTC settings. This study reinforces the need for greater support for nursing graduates in this setting.

Transitioning to practice in long-term care: New graduate nurses' experience of an accelerated transition to nurse leader.

AIM: To describe the transition to practice experience of new graduate nurses in long-term care. BACKGROUND: Nursing is facing increasing pressures related to outpaced demands and a greater acuity of patients accessing services. Hiring new graduate nurses into long-term care (LTC) is a strategy to counteract these pressures, however, little is known about the transition experience of new graduate Registered and Licensed Practical Nurses in this setting. DESIGN: A qualitative, explanatory case-study design explored the transition to practice experience of seven new graduate nurses and the observations of two LTC directors from two homes. The study focused on the self-described transition to practice experience and those contextual factors present in LTC that influenced this experience. METHODS: Thematic analysis of semi-structured interview transcripts and key document review were completed in 2017. RESULTS: Results of this study introduced contextual factors that must be considered in LTC as each influences the transition to practice experienced by new graduate nurses. These factors included five processes that resulted in an accelerated transition to practice experience: (a) struggling to meet expectations; (b) practicing in isolation; (c) relying on others; (d) developing skill and confidence despite challenges; and (e) recognizing complexity and value in LTC practice. CONCLUSION: The findings from this study refute universally applied transition to practice theory and contribute new understanding of the experience of the new graduate nurses in LTC settings. This study reinforces the need for greater support for nursing graduates in LTC settings.

How to critically appraise a qualitative health research study.

Evidence-based nursing is a process that requires nurses to have the knowledge, skills, and confidence to critically reflect on their practice, articulate structured questions, and then reliably search for research evidence to address the questions posed. Many types of research evidence are used to inform decisions in health care and findings from qualita- tive health research studies are useful to provide new insights about individuals' experi- ences, values, beliefs, needs, or perceptions. Before qualitative evidence can be utilized in a decision, it must be critically appraised to determine if the findings are trustworthy and if they have relevance to the identified issue or decision. In this article, we provide practical guidance on how to select a checklist or tool to guide the critical appraisal of qualitative studies and then provide an example demonstrating how to apply the critical appraisal process to a clinical scenario.

Implementation and adaptation of a hub-based psychiatric and primary care program: A qualitative descriptive analysis of The Seamless Care Optimizing the Patient Experience (SCOPE) Mental Health program.

BACKGROUND: The Seamless Care Optimizing the Patient Experience (SCOPE)-Mental Health program is a comprehensive case management and psychiatric care initiative that supports primary care physicians in independent medical practices. This program offers a range of services that aims to enhance primary care capacity for mental health and provide accessible clinical care for patients. With its flexible hub-based approach, this program allows participating sites to tailor their implementation based on their available resources and specific needs within their community. OBJECTIVES: The aim of this quality improvement initiative was to investigate the evolution of this collaborative mental health model, focusing on specific site adaptations, local implementation challenges, and opportunities for ongoing development and sustainability across SCOPE sites in the Greater Toronto Area. METHOD: This evaluation employed a qualitative descriptive design where semi-structured interviews, guided by the Reach Effectiveness Adoption, Implementation, and Maintenance framework were conducted with staff from all 8 SCOPE-Mental Health sites. Site representatives were interviewed virtually between March and July 2023 and data were analyzed using qualitative content analysis. FINDINGS: The SCOPE-Mental Health model permits flexibility through specific local adaptations led by community need that leverage existing assets either at the site or within the individual community. Adoption by primary care physicians was crucial to program success and facilitated efficiency and interprofessional collaboration. Maintenance efforts included pathway refinement, and marketing and funding considerations. Challenges to program development included continuity of staff, physician compensation issues, and electronic health record interoperability. The SCOPE-Mental Health program fosters linkages among unaffiliated primary care offices, hospitals, and community-based resources to improve mental health care. Key recommendations include advocating for sustainable funding and facilitated mechanisms for psychiatric consultations. CONCLUSIONS: This initiative offers valuable insights for healthcare organizations seeking to develop similar programs, emphasizing the need for tailored approaches and ongoing evaluation to ensure a lasting impact in underserved communities.

Technology-Enabled Collaborative Care for Type-2 Diabetes and Mental Health (TECC-D): Findings From a Mixed Methods Feasibility Trial of a Responsive Co-Designed Virtual Health Coaching Intervention.

Introduction: Type-2 diabetes (T2D) is a complex chronic condition associated with a lower quality of life due to disease specific distress. While there is growing support for personalized diabetes programs, care for mental health challenges is often fragmented and limited by access to psychiatry, and integration of care. The use of communication technology to improve team based collaborative care to bridge these gaps is promising but untested. Methods: We conducted an explanatory sequential mixed methods study to assess the feasibility and acceptability of the co-designed Technology-Enabled Collaborative Care for Diabetes and Mental Health (TECC-D) program. Participants included adults aged ≥18 years who had a clinical diagnosis of T2D, and self-reported mental health concerns. Results: 31 participants completed the 8-week virtual TECC-D program. Findings indicate that the program is feasible and acceptable and indicate that there is a role for virtual diabetes and mental health care. Discussion: The TECC-D program, designed through an iterative co-design process and supported by innovative, responsive adaptations led to good uptake and satisfaction. Conclusion: The TECC-D model is a feasible and scalable care solution that empowers individuals living with T2D and mental health concerns to take an active role in their care.

Risk Factors for Hospital Readmission Following Noncardiac Surgery: International Cohort Study.

Objective: To determine timing and risk factors associated with readmission within 30 days of discharge following noncardiac surgery. Background: Hospital readmission after noncardiac surgery is costly. Data on the drivers of readmission have largely been derived from single-center studies focused on a single surgical procedure with uncertainty regarding generalizability. Methods: We undertook an international (28 centers, 14 countries) prospective cohort study of a representative sample of adults ≥45 years of age who underwent noncardiac surgery. Risk factors for readmission were assessed using Cox regression (ClinicalTrials.gov, NCT00512109). Results: Of 36,657 eligible participants, 2744 (7.5%; 95% confidence interval [CI], 7.2-7.8) were readmitted within 30 days of discharge. Rates of readmission were highest in the first 7 days after discharge and declined over the follow-up period. Multivariable analyses demonstrated that 9 baseline characteristics (eg, cancer treatment in past 6 months; adjusted hazard ratio [HR], 1.44; 95% CI, 1.30-1.59), 5 baseline laboratory and physical measures (eg, estimated glomerular filtration rate or on dialysis; HR, 1.47; 95% CI, 1.24-1.75), 7 surgery types (eg, general surgery; HR, 1.86; 95% CI, 1.61-2.16), 5 index hospitalization events (eg, stroke; HR, 2.21; 95% CI, 1.24-3.94), and 3 other factors (eg, discharge to nursing home; HR, 1.61; 95% CI, 1.33-1.95) were associated with readmission. Conclusions: Readmission following noncardiac surgery is common (1 in 13 patients). We identified perioperative risk factors associated with 30-day readmission that can help frontline clinicians identify which patients are at the highest risk of readmission and target them for preventive measures.

Involving Older People With Frailty or Impairment in the Design Process of Digital Health Technologies to Enable Aging in Place: Scoping Review.

BACKGROUND: With an increase in life expectancy globally, the focus on digital health technologies that can enhance physical and mental health among older people with frailty and impairment has increased. Similarly, research interest in how digital health technology can promote well-being and self-management of health in older age has increased, including an increased focus on methods for designing digital health technologies that meet the various medical, psychological, and social needs of older population. Despite the increased focus, there remains a necessity to further understand the needs of this population group to ensure uptake and to avoid introduction of additional challenges when introducing technologies, for example, because of poor technological design. The scope is limited to digital health technologies meant to enable older people with frailty and impairment to age in place. OBJECTIVE: In this study, we aimed to explore how older people with frailty and impairment are involved in various parts of the design processes of digital health technologies and identify gaps or neglected steps in a user-involving design process. This included a focus on recruitment strategies, contributions, and methods used to address the perspectives, needs, and desires of older people with frailty and impairment in the development of digital health technologies. METHODS: A scoping review was conducted in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) reporting from February 2021 to April 2021. Literature searches were conducted in PubMed, Scopus, Embase, and IEEE using a search string covering the concepts of health technology, older people, frailty and impairment, user-centered design, and self-management. RESULTS: In total, 1891 studies were imported for screening from the initial search. A total of 22 studies were included in this review after full-text screening and manual search. Invitation through partners was the most reported recruitment strategy to involve older people with frailty and impairment in the design process of digital health technologies. Furthermore, they were commonly involved in the final evaluation of the development process. Three main gaps identified were the use of outreach approaches to recruit older people with frailty and impairment in the design process of digital health technologies, description of the value of involvement and outcome of the contribution of participants, and knowledge regarding involvement in all parts of the design process. CONCLUSIONS: Although there is literature on methods for involving older people with frailty and impairment in the design of digital health technology, there is little methodological dialogue on the nuances of how different methods for involvement relate to and shape the outcome of the development process.

Technology-Supported Integrated Care Innovations to Support Diabetes and Mental Health Care: Scoping Review.

BACKGROUND: For individuals living with diabetes and its psychosocial comorbidities (eg, depression, anxiety, and distress), there remains limited access to interprofessional, integrated care that includes mental health support, education, and follow-up. Health technology, broadly defined as the application of organized knowledge or skill as software, devices, and systems to solve health problems and improve quality of life, is emerging as a means of addressing these gaps. There is thus a need to understand how such technologies are being used to support, educate, and help individuals living with co-occurring diabetes and mental health distress or disorder. OBJECTIVE: The purpose of this scoping review was to (1) describe the literature on technology-enabled integrated interventions for diabetes and mental health; (2) apply frameworks from the Mental Health Commission of Canada and World Health Organization to elucidate the components, type, processes, and users of technology-enabled integrated interventions for diabetes and mental health; and (3) map the level of integration of interventions for diabetes and mental health. METHODS: We searched 6 databases from inception to February 2022 for English-language, peer-reviewed studies of any design or type that used technology to actively support both diabetes and any mental health distress or disorder in succession or concurrently among people with diabetes (type 1 diabetes, type 2 diabetes, and gestational diabetes). Reviewers screened citations and extracted data including study characteristics and details about the technology and integration used. RESULTS: We included 24 studies described in 38 publications. These studies were conducted in a range of settings and sites of care including both web-based and in-person settings. Studies were mostly website-based (n=13) and used technology for wellness and prevention (n=16) and intervention and treatment (n=15). The primary users of these technologies were clients and health care providers. All the included intervention studies (n=20) used technology for clinical integration, but only 7 studies also used the technology for professional integration. CONCLUSIONS: The findings of this scoping review suggest that there is a growing body of literature on integrated care for diabetes and mental health enabled by technology. However, gaps still exist with how to best equip health care professionals with the knowledge and skills to offer integrated care. Future research is needed to continue to explore the purpose, level, and breadth of technology-enabled integration to facilitate an approach to overcome or address care fragmentation for diabetes and mental health and to understand how health technology can further drive the scale-up of innovative integrated interventions.

Technology-Enabled Collaborative Care for Concurrent Diabetes and Distress Management During the COVID-19 Pandemic: Protocol for a Mixed Methods Feasibility Study.

BACKGROUND: The COVID-19 pandemic disrupted the delivery of diabetes care and worsened mental health among many patients with type 2 diabetes (T2D). This disruption puts patients with T2D at risk for poor diabetes outcomes, especially those who experience social disadvantage due to socioeconomic class, rurality, or ethnicity. The appropriate use of communication technology could reduce these gaps in diabetes care created by the pandemic and also provide support for psychological distress. OBJECTIVE: The purpose of this study is to test the feasibility of an innovative co-designed Technology-Enabled Collaborative Care (TECC) model for diabetes management and mental health support among adults with T2D. METHODS: We will recruit 30 adults with T2D residing in Ontario, Canada, to participate in our sequential explanatory mixed methods study. They will participate in 8 weekly web-based health coaching sessions with a registered nurse, who is a certified diabetes educator, who will be supported by a digital care team (ie, a peer mentor, an addictions specialist, a dietitian, a psychiatrist, and a psychotherapist). Assessments will be completed at baseline, 4 weeks, and 8 weeks, with a 12-week follow-up. Our primary outcome is the feasibility and acceptability of the intervention, as evident by the participant recruitment and retention rates. Key secondary outcomes include assessment completion and delivery of the intervention. Exploratory outcomes consist of changes in mental health, substance use, and physical health behaviors. Stakeholder experience and satisfaction will be explored through a qualitative descriptive study using one-on-one interviews. RESULTS: This paper describes the protocol of the study. The recruitment commenced in June 2021. This study was registered on October 29, 2020, on ClinicalTrials.gov (Registry ID: NCT04607915). As of June 2022, all participants have been recruited. It is anticipated that data analysis will be complete by the end of 2022, with study findings available by the end of 2023. CONCLUSIONS: The development of an innovative, technology-enabled model will provide necessary support for individuals living with T2D and mental health challenges. This TECC program will determine the feasibility of TECC for patients with T2D and mental health issues. TRIAL REGISTRATION: ClinicalTrials.gov NCT04607915; https://clinicaltrials.gov/ct2/show/NCT04607915. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/39724.