Digital Health Interventions for Adults With Type 2 Diabetes: Qualitative Study of Patient Perspectives on Diabetes Self-Management Education and Support

Associations Between Suboptimal Social Determinants of Health and Diabetes Distress in Low-Income Patients on Medicaid

AIMS

To determine associations between suboptimal social determinants of health (SDoH) and diabetes distress in adults with diabetes on Medicaid.

METHODS

We surveyed adults with type 2 diabetes covered by Alabama Medicaid. Diabetes distress was assessed using the Diabetes Distress Scale. Suboptimal SDoH included food or housing insecurity; having < high school degree; being unemployed; and household income < $10,000/year. Unadjusted associations between individual SDoH and diabetes distress were examined using logistic regression. We also examined the association between the number of suboptimal SDoH and distress. Multivariable models controlled for age, sex, race, marital status, rurality, diabetes duration, social support, and insulin use.

RESULTS

In total, 433 patients participated (mean age, 50 years (SD 10.4); 80% female; 62% Black). Roughly 32% reported food insecurity, participants experienced a mean of 2 (SD, 0.9; range 0-5) suboptimal SDoH. There was increased odds of diabetes distress in participants who reported food insecurity (OR, 2.2; 95% CI, 1.36-3.65 and OR, 2.35; 95% CI, 1.40-3.93). For each additional suboptimal SDoH a patient experienced, they had increased odds of experiencing diabetes distress (OR, 1.50; CI, 1.15-2.01).

CONCLUSIONS

Participants with diabetes who reported food insecurity or experienced a higher number of suboptimal social determinants of health had an increased likelihood of experiencing diabetes distress.

Comparing Digital Versus Face-to-Face Delivery of Systemic Psychotherapy Interventions: Systematic Review and Meta-Analysis of Randomized Controlled Trials

BACKGROUND

As digital mental health delivery becomes increasingly prominent, a solid evidence base regarding its efficacy is needed.

OBJECTIVE

This study aims to synthesize evidence on the comparative efficacy of systemic psychotherapy interventions provided via digital versus face-to-face delivery modalities.

METHODS

We followed PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for searching PubMed, Embase, Cochrane CENTRAL, CINAHL, PsycINFO, and PSYNDEX and conducting a systematic review and meta-analysis. We included randomized controlled trials comparing mental, behavioral, and somatic outcomes of systemic psychotherapy interventions using self- and therapist-guided digital versus face-to-face delivery modalities. The risk of bias was assessed with the revised Cochrane Risk of Bias tool for randomized trials. Where appropriate, we calculated standardized mean differences and risk ratios. We calculated separate mean differences for nonaggregated analysis.

RESULTS

We screened 3633 references and included 12 articles reporting on 4 trials (N=754). Participants were youths with poor diabetic control, traumatic brain injuries, increased risk behavior likelihood, and parents of youths with anorexia nervosa. A total of 56 outcomes were identified. Two trials provided digital intervention delivery via videoconferencing: one via an interactive graphic interface and one via a web-based program. In total, 23% (14/60) of risk of bias judgments were high risk, 42% (25/60) were some concerns, and 35% (21/60) were low risk. Due to heterogeneity in the data, meta-analysis was deemed inappropriate for 96% (54/56) of outcomes, which were interpreted qualitatively instead. Nonaggregated analyses of mean differences and CIs between delivery modalities yielded mixed results, with superiority of the digital delivery modality for 18% (10/56) of outcomes, superiority of the face-to-face delivery modality for 5% (3/56) of outcomes, equivalence between delivery modalities for 2% (1/56) of outcomes, and neither superiority of one modality nor equivalence between modalities for 75% (42/56) of outcomes. Consequently, for most outcome measures, no indication of superiority or equivalence regarding the relative efficacy of either delivery modality can be made at this stage. We further meta-analytically compared digital versus face-to-face delivery modalities for attrition (risk ratio 1.03, 95% CI 0.52-2.03; P=.93) and number of sessions attended (standardized mean difference -0.11; 95% CI -1.13 to -0.91; P=.83), finding no significant differences between modalities, while CIs falling outside the range of the minimal important difference indicate that equivalence cannot be determined at this stage.

CONCLUSIONS

Evidence on digital and face-to-face modalities for systemic psychotherapy interventions is largely heterogeneous, limiting conclusions regarding the differential efficacy of digital and face-to-face delivery. Nonaggregated and meta-analytic analyses did not indicate the superiority of either delivery condition. More research is needed to conclude if digital and face-to-face delivery modalities are generally equivalent or if-and in which contexts-one modality is superior to another.

TRIAL REGISTRATION

PROSPERO CRD42022335013; https://tinyurl.com/nprder8h.

Exposure to behaviour change techniques and self-management tasks in a nationally-implemented digital intervention for type 2 diabetes self-management: Analysis of usage data

BACKGROUND

'Healthy Living' is an online self-management intervention for people living with type 2 diabetes rolled out across England from 2019. It was based on the 'HeLP-Diabetes' intervention which demonstrated effectiveness in a randomised controlled trial. However, it is unclear how much people are exposed to intervention content outside of a trial setting.

PURPOSE

To analyse exposure to behaviour change techniques and self-management content in routine usage.

METHODS

Anonymous usage data was obtained for all registered Healthy Living users between May 2020 and September 2023, and linked with previously coded behaviour change technique and self-management content of 895 Healthy Living webpages.

RESULTS

N = 42,689 users registered for a Healthy Living account, of whom n = 27,422 activated it, and n = 19,137 (69.8%) accessed some intervention content. The median number of times users (n = 19,137) were exposed to self-regulatory behaviour change techniques across the intervention was 0 (IQR: 0,0), apart from 'Self-monitoring of outcome(s) of behaviour' (median: 1, IQR: 0,1). Fewer than 30% of users were exposed to behaviour change techniques present after the first section of the curriculum. The median frequency of user (n = 19,137) exposure to medical self-management tasks was 11 (IQR: 4,32), emotional self-management tasks was 4 (IQR: 1,7), and role self-management tasks was 0 (IQR: 0,1).

CONCLUSIONS

This is the first analysis to quantify engagement with behaviour change techniques and self-management tasks in a 'real-world' digital type 2 diabetes self-management programme. Future work needs to identify how to encourage usage of key material in online interventions, for example, by allowing users greater flexibility to access content they wish to engage with.

Revolutionizing public health through digital health technology

The aging population and increasing chronic diseases strain public health systems. Advancements in digital health promise to tackle these challenges and enhance public health outcomes. Digital health integrates digital health technology (DHT) across healthcare, including smart consumer devices. This article examines the application of DHT in public health and its significant impact on revolutionizing the field. Historically, DHT has not only enhanced the efficiency of disease prevention, diagnosis, and treatment but also facilitated the equitable distribution of global health resources. Looking ahead, DHT holds vast potential in areas such as personalized medicine, telemedicine, and intelligent health management. However, it also encounters challenges such as ethics, privacy, and data security. To further advance DHT, concerted efforts are essential, including policy support, investment in research and development, involvement of medical institutions, and improvement of public digital health literacy.

Exploring the Impact of Digital Health Tools in Enhancing Quality of Life and Psychological Adjustment in Long-term Blood Donors: A Cross-Sectional Study

BACKGROUND

Blood donation plays a critical role in public health, yet long-term donors (donating at least twice per year, for at least three years) often face challenges related to psychological adjustment and quality of life. Digital health tools could offer innovative solutions to address these issues by providing personalized support, tracking, and mental health interventions.

AIM

This study investigates the impact of digital health tools on the quality of life (QoL) and psychological adjustment of long-term blood donors in Saudi Arabia, with attention to demographic factors influencing engagement and perceptions.

METHODS

A cross-sectional survey was conducted among 498 long-term blood donors aged 18-60, recruited from blood donation centers across Saudi Arabia. Participants were recruited through social media platforms, university networks, and professional organizations to ensure a diverse sample in terms of background, long-term donation history (more than 10 times), and daily digital usage habits. Participants completed an online questionnaire incorporating the WHO Quality of Life-Brief Version (WHOQOL-BREF) and Coping Orientation to Problems Experienced Inventory (Brief-COPE) inventory to assess QoL and coping mechanisms. Descriptive statistics, two-sample t-tests, and ANOVA analyses were performed to examine differences in perceptions based on age, gender, and educational level.

RESULTS

The findings indicate a generally positive perception of digital health tools, with mean QoL scores for self-distraction (Mean ± SD: 3.33 ± 0.97), active coping (3.29 ± 0.97), and psychological well-being (3.31 ± 0.82). Significant differences were observed across age groups, with older participants reporting higher perceived benefits ( p < .0001). Gender differences were also significant, with females showing higher mean scores in psychological adjustment factors such as active coping (3.75 ± 0.62) compared to males (2.8 ± 0.81), p < .0001.

CONCLUSION

Digital health tools are perceived as beneficial for supporting QoL and psychological adjustment among blood donors, particularly for emotional and health management. Demographic factors such as age, gender, and education play a significant role in shaping these perceptions, highlighting the need for tailored interventions. Further research should explore longitudinal impacts to inform the design of more effective, culturally aligned digital health solutions for donor support.

Implementation of a Technology-Enabled Diabetes Self-Management Peer Coaching Intervention for Patients With Poorly Controlled Diabetes: Quasi-Experimental Case Study

BACKGROUND

Patients with diabetes experience worse health outcomes and greater health care expenditure. Improving diabetes outcomes requires involved self-management. Peer coaching programs can help patients engage in self-management while addressing individual and structural barriers. These peer coaching programs can be scaled with digital platforms to efficiently connect patients with peer supporters who can help with diabetes self-management.

OBJECTIVE

This study aimed to evaluate the implementation of a technology-enabled peer coaching intervention to support diabetes self-management among patients with uncontrolled diabetes.

METHODS

MetroPlusHealth, a predominant Medicaid health maintenance organization based in New York City, partnered with Pyx Health to enroll 300 Medicaid patients with uncontrolled diabetes into its 6-month peer coaching intervention. Pyx Health peer coaches conduct at least 2 evidence-based and goal-oriented coaching sessions per month with their assigned patients. These sessions are focused on addressing both behavioral and social determinants of health (SDoH) with the goal of helping patients increase their diabetes self-management literacy, implement self-management behaviors, and reduce barriers to ongoing self-care. Data analyzed in this study included patient demographic data, clinical data (patient's hemoglobin A1c [HbA1c]), and program implementation data including types of behavioral determinants of health and SDoH reported by patients and types of interventions used by peer coaches.

RESULTS

A total of 330 patients enrolled in the peer mentoring program and 2118 patients were considered to be on a waitlist group and used as a comparator. Patients who enrolled in the peer coaching program were older; more likely to be English speakers, female, and African American; and less likely to be White or Asian American or Pacific Islander than those in the waitlist condition, and had similar HbA1c laboratory results at baseline (intervention group 10.59 vs waitlist condition 10.62) Patients in the enrolled group had on average a -1.37 point reduction in the HbA1c score (n=70; pre: 10.99, post 9.62; P<.001), whereas patients in the waitlist group had a -0.16 reduction in the HbA1c score (n=207; pre 9.75, post 9.49; P<.001). Among a subsample of participants enrolled in the program with at least 2 HbA1c scores, we found that endorsement of emotional health issues (β=1.344; P=.04) and medication issues (β=1.36; P=.04) were significantly related to increases in HbA1c.

CONCLUSIONS

This analysis of a technology-enabled 1-on-1 peer coaching program showed improved HbA1c levels for program participants relative to nonprogram participants. Results suggested participants with emotional stressors and medication management issues had worse outcomes and many preferred to connect through phone calls versus an app. These findings support the effectiveness of digital programs with multimodal approaches that include human support for improving diabetes self-management in a typically marginalized population with significant SDoH barriers.

Digital Interventions for Managing Medication and Health Care Service Delivery in West Africa: Systematic Review

BACKGROUND

As a result of the recent advancements in technology, the incorporation of digital interventions into the health care system has gained a lot of attention and adoption globally. However, these interventions have not been fully adopted, thereby limiting their impact on health care delivery in West Africa.

OBJECTIVE

This review primarily aims at evaluating the current digital interventions for medication and health care delivery in West Africa. Its secondary aim is to assess the impacts of digital interventions in managing medication and health care service delivery with the intent of providing vital recommendations that would contribute to an excellent adoption of digital intervention tools in the health care space in West Africa.

METHODS

In line with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), a comprehensive search through various databases yielded 529 results. After a rigorous screening, 29 articles that provided information on 3 broad digital health intervention tools were found eligible for this review.

RESULTS

Out of 29 studies, 16 (55%) studies examined phone-based interventions, 9 (31%) studies focused on tele- and e-based interventions, and 4 (14%) studies evaluated digital interventions. These interventions were used for diverse purposes, some of which are monitoring adverse drug reactions, general health, sexual and reproductive health, and training of health care practitioners. The phone-based intervention appears to be the most known and impactful of all the interventions, followed by tele- and e-based, while digital interventions were scarcely used.

CONCLUSIONS

Digital interventions have had a considerable level of impact on medication and health care delivery across West Africa. However, the overall impact is limited. Therefore, strategies must be developed to address the challenges limiting the use of digital intervention tools so that these tools can be fully incorporated into the health care space in West Africa.

Considering User Experience and Behavioral Approaches in the Design of mHealth Interventions for Atrial Fibrillation: Systematic Review

BACKGROUND

Atrial fibrillation (AF) is a leading chronic cardiac disease associated with an increased risk of stroke, cardiac complications, and general mortality. Mobile health (mHealth) interventions, including wearable devices and apps, can aid in the detection, screening, and management of AF to improve patient outcomes. The inclusion of approaches that consider user experiences and behavior in the design of health care interventions can increase the usability of mHealth interventions, and hence, hopefully, yield an increase in positive outcomes in the lives of users.

OBJECTIVE

This study aims to show how research has considered user experiences and behavioral approaches in designing mHealth interventions for AF detection, screening, and management; the phases of designing complex interventions from the UK Medical Research Council (MRC) were referenced: namely, identification, development, feasibility, evaluation, and implementation.

METHODS

Studies published until September 7, 2022, that examined user experiences and behavioral approaches associated with mHealth interventions in the context of AF were extracted from multiple databases. The PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines were used.

RESULTS

A total of 2219 records were extracted, with only 55 records reporting on usability, user experiences, or behavioral approaches more widely for designing mHealth interventions in the context of AF. When mapping the studies onto the phases of the UK MRC's guidance for developing and evaluating complex interventions, the following was found: in the identification phase, there were significant differences between the needs of patients and health care workers. In the development phase, user perspectives guided the iterative development of apps, interfaces, and intervention protocols in 4 studies. Most studies (43/55, 78%) assessed the usability of interventions in the feasibility phase as an outcome, although the data collection tools were not designed together with users and stakeholders. Studies that examined the evaluation and implementation phase entailed reporting on challenges in user participation, acceptance, and workflows that could not be captured by studies in the previous phases. To realize the envisaged human behavior intended through treatment, review results highlight the scant inclusion of behavior change approaches for mHealth interventions across multiple levels of sociotechnical health care systems. While interventions at the level of the individual (micro) and the level of communities (meso) were found in the studies reviewed, no studies were found intervening at societal levels (macro). Studies also failed to consider the temporal variation of user goals and feedback in the design of long-term behavioral interventions.

CONCLUSIONS

In this systematic review, we proposed 2 contributions: first, mapping studies to different phases of the MRC framework for developing and evaluating complex interventions, and second, mapping behavioral approaches to different levels of health care systems. Finally, we discuss the wider implications of our results in guiding future mHealth research.

Exploring the Feasibility of Digital Voice Assistants for Delivery of a Home-Based Exercise Intervention in Older Adults With Obesity and Type 2 Diabetes Mellitus: Randomized Controlled Trial

BACKGROUND

Current clinical guidelines for the management of type 2 diabetes mellitus (T2DM) in older adults recommend the use of antihyperglycemic medications, monitoring of blood glucose levels, regular exercise, and a healthy diet to improve glycemic control and reduce associated comorbidities. However, adherence to traditional exercise programs is poor (<35%). Common barriers to adherence include fear of hypoglycemia and the need for blood glucose level monitoring before exercise. Digital health strategies offer great promise for managing T2DM as they facilitate patient-practitioner communication, support self-management, and improve access to health care services for underserved populations. We have developed a novel web-based software program allowing practitioners to create tailored interventions and deliver them to patients via digital voice assistants (DVAs) in their own homes.

OBJECTIVE

We aim to evaluate the feasibility of a 12-week, home-based, personalized lifestyle intervention delivered and monitored by DVAs for older adults with obesity and T2DM.

METHODS

In total, 50 older adults with obesity aged 50-75 years with oral hypoglycemic agent-treated T2DM were randomized to the intervention (DVA, n=25) or a control group (n=25). Participants allocated to the DVA group were prescribed a home-based muscle strengthening exercise program (~20- to 30-min sessions) and healthy eating intervention, delivered via DVAs (Alexa Echo Show 8; Amazon) using newly developed software ("Buddy Link"; Great Australian Pty Ltd). Control group participants received generalized physical activity information via email. Outcomes were feasibility, DVA usability (System Usability Scale), and objectively assessed physical activity and sedentary time (wrist-worn accelerometers).

RESULTS

In total, 45 (90%) out of 50 participants completed this study. Mean adherence to prescribed exercise was 85% (SD 43%) with no intervention-related adverse events. System usability was rated above average (70.4, SD 16.9 out of 100). Compared with controls, the DVA group significantly decreased sedentary time (mean difference -67, SD 23; 95% CI -113 to -21 min/d), which was represented by a medium to large effect size (d=-0.6).

CONCLUSIONS

A home-based lifestyle intervention delivered and monitored by health professionals using DVAs was feasible for reducing sedentary behavior and increasing moderate-intensity activity in older adults with obesity and T2DM.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12621000307808; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=381364&isReview=true.

A systematic review of the mechanisms influencing engagement in diabetes prevention programmes for people with pre-diabetes

AIMS

To identify barriers and enablers that influence engagement in and acceptability of diabetes prevention programmes for people with pre-diabetes. The results will provide insights for developing strategies and recommendations to improve design and delivery of diabetes prevention programmes with enhanced engagement and acceptability for people with pre-diabetes.

METHODS

This review used a critical realist approach to examine context and mechanisms of diabetes prevention programmes. Medline, Embase, PsycInfo, Cinahl, Web of Science, Scopus and Pre-Medline were searched for English language studies published between 2000 and 2023. A quality assessment was conducted using Joanna Briggs Institute critical appraisal tools.

RESULTS

A total of 90 papers met inclusion criteria. The included studies used a variety of quantitative and qualitative methodologies. Data extracted focused on barriers and enablers to engagement in and acceptability of diabetes prevention programmes, with seven key mechanisms identified. These included financial, environmental, personal, healthcare, social and cultural, demographic and programme mechanisms. Findings highlighted diverse factors that influenced engagement in preventive programmes and the importance of considering these factors when planning, developing and implementing future diabetes prevention programmes.

CONCLUSIONS

Mechanisms identified in this review can inform design and development of diabetes prevention programmes for people with pre-diabetes and provide guidance for healthcare professionals and policymakers. This will facilitate increased participation and engagement in preventive programmes, potentially reducing progression and/or incidence of pre-diabetes to type 2 diabetes and improving health outcomes.

Digital Interventions for Self-Management of Type 2 Diabetes Mellitus: Systematic Literature Review and Meta-Analysis

BACKGROUND

The proliferation of digital technology has the potential to transform diabetes management. One of the critical aspects of modern diabetes management remains the achievement of glycemic targets to avoid acute and long-term complications.

OBJECTIVE

This study aims to describe the landscape of evidence pertaining to the relative effectiveness or efficacy and safety of various digital interventions for the self-management of type 2 diabetes mellitus (T2DM), with a primary focus on reducing glycated hemoglobin A1c (HbA1c) levels.

METHODS

A systematic literature review (SLR) was conducted by searching Embase, MEDLINE, and CENTRAL on April 5, 2022. Study selection, data extraction, and quality assessment were performed by 2 independent reviewers. Eligibility criteria for the SLR included randomized controlled trials (RCTs) and comparative observational studies evaluating interventions containing both human (eg, coaching) and digital components (eg, glucose meter) in adult patients with T2DM. The primary meta-analysis was restricted to studies that reported laboratory-measured HbA1c. In secondary analyses, meta-regression was performed with the intensity of coaching in the digital intervention as a categorical covariate.

RESULTS

In total, 28 studies were included in this analysis. Most studies (23/28, 82%) used the reduction of HbA1c levels as the primary end point, either directly or as a part of a multicomponent outcome. In total, 21 studies reported statistically significant results with this primary end point. When stratified into 3 intervention categories by the intensity of the intervention supporting the digital health technology (analyzing all 28 studies), the success rate appeared to be proportional to the coaching intensity (ie, higher-intensity studies reported higher success rates). When the analysis was restricted to RCTs using the comparative improvement of HbA1c levels, the effectiveness of the interventions was less clear. Only half (12/23, 52%) of the included RCTs reported statistically significant results. The meta-analyses were broadly aligned with the results of the SLR. The primary analysis estimated a greater reduction in HbA1c associated with digital interventions compared with usual care (-0.31%, 95% CI -0.45% to -0.16%; P<.001). Meta-regression estimated reductions of -0.45% (95% CI -0.81% to -0.09%; P=.02), -0.29% (95% CI -0.48% to -0.11%; P=.003), and -0.28% (95% CI -0.65% to 0.09%; P=.20) associated with high-, medium-, and low-intensity interventions, respectively.

CONCLUSIONS

These findings suggest that reducing HbA1c levels in individuals with T2DM with the help of digital interventions is feasible, effective, and acceptable. One common feature of effective digital health interventions was the availability of timely and responsive personalized coaching by a dedicated health care professional.

Service Users' Experiences of a Nationwide Digital Type 2 Diabetes Self-Management Intervention (Healthy Living): Qualitative Interview Study

BACKGROUND

Diabetes Self-Management Education and Support programs for people living with type 2 diabetes mellitus (T2DM) can increase glycemic control and reduce the risk of developing T2DM-related complications. However, the recorded uptake of these programs is low. Digital self-management interventions have the potential to overcome barriers associated with attendance at face-to-face sessions. Healthy Living is an evidence-based digital self-management intervention for people living with T2DM, based on the Healthy Living for People with Type 2 Diabetes (HeLP-Diabetes) intervention, which demonstrated effectiveness in a randomized controlled trial. NHS England has commissioned Healthy Living for national rollout into routine care. Healthy Living consists of web-based structured education and Tools components to help service users self-manage their condition, including setting goals. However, key changes were implemented during the national rollout that contrasted with the trial, including a lack of facilitated access from a health care professional and the omission of a moderated online support forum.

OBJECTIVE

This qualitative study aims to explore service users' experiences of using Healthy Living early in the national rollout.

METHODS

A total of 19 participants were interviewed via telephone or a videoconferencing platform. Topics included users' experiences and views of website components, their understanding of the intervention content, and the overall acceptability of Healthy Living. Transcripts were analyzed thematically using a framework approach.

RESULTS

Participants valued having trustworthy information that was easily accessible. The emotional management content resonated with the participants, prompting some to book an appointment with their general practitioners to discuss low mood. After completing the structured education, participants might have been encouraged to continue using the website if there was more interactivity (1) between the website and other resources and devices they were using for self-management, (2) with health professionals and services, and (3) with other people living with T2DM. There was consensus that the website was particularly useful for people who had been newly diagnosed with T2DM.

CONCLUSIONS

Digital Diabetes Self-Management Education and Support programs offering emotional aspects of self-management are addressing an unmet need. Primary care practices could consider offering Healthy Living to people as soon as they are diagnosed with T2DM. Participants suggested ways in which Healthy Living could increase interaction with the website to promote continued long-term use.

The growzen™ buddy smartphone app to improve adherence in patients receiving recombinant human growth hormone therapy: a retrospective observational study in Argentina

Introduction

This study in Argentina evaluated the impact of the growzen™ buddy smartphone app on adherence to recombinant human growth hormone (r-hGH) treatment.

Methods

The adherence data, invitation dates with a link to the app, app activation dates, and height measurements entered were extracted from the growzen™ digital health ecosystem. Patients with 12 months of adherence data, aged ≥2 years at treatment start, and aged <19 years were selected both before and after app implementation. Mean adherence was classified as optimal (≥85%) versus suboptimal (<85%). Adherence before and after implementation and the pre-post effect on adherence were assessed.

Results

Data for 830 patients were available. Prior to app implementation, the proportion of patients with optimal adherence was 68% (n = 348/515). Following the app implementation, out of 315 patients, 302 (96%) received an invitation with a link to the app, 225 (71%) activated their account, and 127 (40%) entered height data in the first year. There was a significant early increase in the proportion of patients with optimal adherence following implementation: 82% (n = 258/315), p < 0.001. After implementation, the proportion of patients with optimal adherence included 80% (n = 78/98) of those with an active account who did not enter height measurements and 89% (n = 113/127) of those who did. There was a significant and positive pre-post app effect on adherence (p < 0.01) in patients with an active account.

Discussion

Our results show that using the growzen™ buddy app has a rapid and positive impact on adherence to r-hGH treatment, and patients who were more engaged with the app demonstrated better adherence.

Digital therapeutics as an emerging new therapy for diabetes mellitus: potentials and concerns

The global burden of controlling and managing diabetes mellitus (DM) is a significant challenge. Despite the advancements in conventional DM therapy, there remain hurdles to overcome, such as enhancing medication adherence and improving patient prognosis. Digital therapeutics (DTx), an innovative digital application, has been proposed to augment the traditional disease management workflow, particularly in managing chronic diseases like DM. Several studies have explored DTx, yielding promising results. However, certain concerns about this innovation persist. In this review, we aim to encapsulate the potential of DTx and its applications in DM management, thereby providing a comprehensive overview of this technique for public health policymakers.

Preferences of people with chronic kidney disease regarding digital health interventions that promote healthy lifestyle: qualitative systematic review with meta-ethnography

OBJECTIVES

Diet and physical activity are crucial for people with chronic kidney disease (CKD) to maintain good health. Digital health interventions can increase access to lifestyle services. However, consumers' perspectives are unclear, which may reduce the capacity to develop interventions that align with specific needs and preferences. Therefore, this review aims to synthesise the preferences of people with CKD regarding digital health interventions that promote healthy lifestyle.

DESIGN

Qualitative systematic review with meta-ethnography.

DATA SOURCES

Databases Scopus, CENTRAL, MEDLINE, CINAHL and SPORTDiscus were searched between 2000 and 2023.

ELIGIBILITY CRITERIA

Primary research papers that used qualitative exploration methods to explore the preferences of adults with CKD (≥18 years) regarding digital health interventions that promoted diet, physical activity or a combination of these health behaviours.

DATA EXTRACTION AND SYNTHESIS

Two independent reviewers screened title, abstract and full text. Discrepancies were resolved by a third reviewer. Consumers' quotes were extracted verbatim and synthesised into higher-order themes and subthemes.

RESULTS

Database search yielded 5761 records. One record was identified following communication with a primary author. 15 papers were included. These papers comprised 197 consumers (mean age 51.0±7.2), including 83 people with CKD 1-5; 61 kidney transplant recipients; 53 people on dialysis. Sex was reported in 182 people, including 53% male. Five themes were generated regarding consumers' preferences for digital lifestyle interventions. These included simple instruction and engaging design; individualised interventions; virtual communities of care; education and action plans; and timely reminders and automated behavioural monitoring.

CONCLUSION

Digital health interventions were considered an important mechanism to access lifestyle services. Consumers' preferences are important to ensure future interventions are tailored to specific needs and goals. Future research may consider applying the conceptual framework of consumers' preferences in this review to develop and evaluate the effect of a digital lifestyle intervention on health outcomes.

PROSPERO REGISTRATION NUMBER

CRD42023411511.

Digital Health Platforms for Breast Cancer Care: A Scoping Review

Breast cancer is a significant global health concern affecting millions of women each year. Digital health platforms are an easily accessible intervention that can improve patient care, though their efficacy in breast cancer care is unknown. This scoping review aims to provide an overview of existing research on the utilization of digital health platforms for breast cancer care and identify key trends and gaps in the literature. A comprehensive literature search was conducted across electronic databases, including Ovid MEDLINE, Elsevier EMBASE, and Elsevier Scopus databases. The search strategy incorporated keywords related to "digital health platforms", "breast cancer care", and associated terminologies. After screening for eligibility, a total of 25 articles were included in this scoping review. The identified studies comprised mobile applications and web-based interventions. These platforms demonstrated various functionalities, including patient education, symptom monitoring, treatment adherence, and psychosocial support. The findings indicate the potential of digital health platforms in improving breast cancer care and patients' overall experiences. The positive impact on patient outcomes, including improved quality of life and reduced psychological distress, underscores the importance of incorporating digital health solutions into breast cancer management. Additional research is necessary to validate the effectiveness of these platforms in diverse patient populations and assess their impact on healthcare-resource utilization.

Metaphoric perceptions of individuals with diabetes in Turkey: A content analysis

Background

The diagnosis of diabetes mellitus adversely impacts the quality of life due to treatment, changes in daily life, functional disability, and emerging complications. Using metaphors to convey perceptions of diseases and life experiences is crucial for understanding healthcare behaviors.

Objective

This study aimed to explore the metaphorical perceptions of "diabetes" and "being a person with diabetes" within a sample group of individuals with diabetes in Turkey.

Methods

A qualitative design was employed to investigate the metaphoric perceptions of 72 people with diabetes. Data were collected face-to-face between 15 May and June 2023 using a semi-structured questionnaire. Data were analyzed using content analysis.

Results

From the statements of the individuals with diabetes in the sample, seven metaphoric themes related to diabetes - "pain and distress, helplessness and hopelessness, instability, attention and sensitivity, captivity, positive outlook and acceptance, deprivation" - and six metaphoric themes concerning being a person with diabetes - "suffocation and distress, helplessness, powerlessness and disappointment, captivity, attention and sensitivity, guilt, and being worn out" - were identified. Commonly recurring sub-themes with negative connotations included "darkness, well, convict, prison, captivity, microbe, infectious disease, a hot flush, guilt, clouding life, and being ruined." Some positively framed statements included "friend, traffic sign, and driving a car."

Conclusion

The majority of patients in the study used negative metaphors, with fewer expressing positive sentiments regarding the necessity of accepting and paying attention to the disease. Defining individuals' metaphorical perceptions of their disease may enable the provision of better quality and holistic care. Nurses, in particular, play a crucial role in facilitating behavioral changes for patients with diabetes to achieve self-management.

Digitally Delivered Interventions to Improve Nutrition Behaviors Among Resource-Poor and Ethnic Minority Groups With Type 2 Diabetes: Systematic Review

BACKGROUND

Resource-poor individuals, such as those with a low income, are disproportionately affected by diabetes and unhealthy eating patterns that contribute to poor disease self-management and prognosis. Digitally delivered interventions have the potential to address some of the barriers to healthy eating experienced by this group. However, little is known about their effectiveness in disadvantaged populations.

OBJECTIVE

This systematic review is conducted to assess the effectiveness of digitally delivered interventions in improving nutritional behaviors and nutrition-related health outcomes among disadvantaged people with type 2 diabetes (T2D).

METHODS

MEDLINE complete, Global Health, Embase, CINAHL complete, Informit Health, IEEE Xplore, and Applied Science and Technology Source databases were searched for studies published between 1990 and 2022 on digitally delivered nutrition interventions for disadvantaged people with T2D. Two reviewers independently assessed the studies for eligibility and determined the study quality using the Cochrane Risk-of-Bias Assessment Tool. The Behavioral Change Technique Taxonomy V1 was used to identify behavior change techniques used in the design of interventions.

RESULTS

Of the 2434 identified records, 10 (0.4%), comprising 947 participants, met the eligibility criteria and were included in the review. A total of 2 digital platforms, web and messaging services (eg, SMS text messaging interventions or multimedia messaging service), were used to deliver interventions. Substantial improvements in dietary behaviors were reported in 5 (50%) of the 10 studies, representing improvements in healthier food choices or increases in dietary knowledge and skills or self-efficacy. Of the 10 studies, 7 (70%) examined changes in blood glucose levels, of which 4 (57%) out of 7 achieved significant decreases in hemoglobin A1C levels ranging from 0.3% to 1.8%. The most frequently identified behavior change techniques across all studies were instruction on how to perform the behavior, information about health consequences, and social support.

CONCLUSIONS

This review provided some support for the efficacy of digitally delivered interventions in improving healthy eating behaviors in disadvantaged people with T2D, an essential dietary prerequisite for changes in clinical metabolic parameters. Further research is needed into how disadvantaged people with T2D may benefit more from digital approaches and to identify the specific features of effective digital interventions for supporting healthy behaviors among disadvantaged populations.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42020149844; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=149844.

The Effectiveness of Strategies to Improve User Engagement With Digital Health Interventions Targeting Nutrition, Physical Activity, and Overweight and Obesity: Systematic Review and Meta-Analysis

BACKGROUND

Digital health interventions (DHIs) are effective in improving poor nutrition, physical inactivity, overweight and obesity. There is evidence suggesting that the impact of DHIs may be enhanced by improving user engagement. However, little is known about the overall effectiveness of strategies on engagement with DHIs.

OBJECTIVE

This study aims to assess the overall effectiveness of strategies to improve engagement with DHIs targeting nutrition, physical activity, and overweight or obesity and explore associations between strategies and engagement outcomes. The secondary aim was to explore the impact of these strategies on health risk outcomes.

METHODS

The MEDLINE, Embase, PsycINFO, CINAHL, CENTRAL, Scopus, and Academic Source Complete databases were searched up to July 24, 2023. Eligible studies were randomized controlled trials that evaluated strategies to improve engagement with DHIs and reported on outcomes related to DHI engagement (use or user experience). Strategies were classified according to behavior change techniques (BCTs) and design features (eg, supplementary emails). Multiple-variable meta-analyses of the primary outcomes (usage and user experience) were undertaken to assess the overall effectiveness of strategies. Meta-regressions were conducted to assess associations between strategies and use and user experience outcomes. Synthesis of secondary outcomes followed the "Synthesis Without Meta-Analysis" guidelines. The methodological quality and evidence was assessed using the Cochrane risk-of-bias tool, and the Grading of Recommendations Assessment, Development, and Evaluation tool respectively.

RESULTS

Overall, 54 studies (across 62 publications) were included. Pooled analysis found very low-certainty evidence of a small-to-moderate positive effect of the use of strategies to improve DHI use (standardized mean difference=0.33, 95% CI 0.20-0.46; P<.001) and very low-certainty evidence of a small-to-moderate positive effect on user experience (standardized mean difference=0.29, 95% CI 0.07-0.52; P=.01). A significant positive association was found between the BCTs social support (effect size [ES]=0.40, 95% CI 0.14-0.66; P<.001) and shaping knowledge (ES=0.39, 95% CI 0.03-0.74; P=.03) and DHI use. A significant positive association was found among the BCTs social support (ES=0.70, 95% CI 0.18-1.22; P=.01), repetition and substitution (ES=0.29, 95% CI 0.05-0.53; P=.03), and natural consequences (ES=0.29, 95% CI 0.05-0.53; P=.02); the design features email (ES=0.29, 95% CI 0.05-0.53; P=.02) and SMS text messages (ES=0.34, 95% CI 0.11-0.57; P=.01); and DHI user experience. For secondary outcomes, 47% (7/15) of nutrition-related, 73% (24/33) of physical activity-related, and 41% (14/34) of overweight- and obesity-related outcomes reported an improvement in health outcomes.

CONCLUSIONS

Although findings suggest that the use of strategies may improve engagement with DHIs targeting such health outcomes, the true effect is unknown because of the low quality of evidence. Future research exploring whether specific forms of social support, repetition and substitution, natural consequences, emails, and SMS text messages have a greater impact on DHI engagement is warranted.

TRIAL REGISTRATION

PROSPERO CRD42018077333; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=77333.

Delineating and clarifying the concept of self-care monitoring: a concept analysis

AIM

To delineate and clarify the meaning of the concept of self-care monitoring from a patient perspective.

METHODS

A systematic search was performed in the databases ASSIA, CINAHL, PsycInfo, and PubMed (January 2016-September 2021). A selection of 46 peer-reviewed articles was included in the study and analysed using Rodgers' Evolutionary Method for Concept Analysis.

RESULTS

The following four attributes were identified: Tracking symptoms, signs, and actions, Paying attention, Being confident, and Needing routines, creating a descriptive definition: "Self-care monitoring is an activity that means a person has to pay attention and be confident and needs routines for tracking symptoms, signs, and action." The antecedents of the concept were shown to be Increased knowledge, Wish for independence, and Commitment. The concepts' consequences were identified as Increased interaction, Perceived burden, and Enhanced well-being.

CONCLUSIONS

This concept analysis provides extensive understanding of self-care monitoring from a patient perspective. It was shown that the concept occurs when a person practices self-care monitoring at home either with or without devices. A descriptive definition was constructed and presented with exemplars to encourage practice of the concept in various healthcare settings and could be of relevance to people with chronic illnesses or other long-term conditions.

Digital Health for Patients Undergoing Cardiac Surgery: A Systematic Review

Digital health interventions have shown promise in improving patient outcomes and experiences in various healthcare settings. However, their effectiveness in the context of cardiac surgery remains uncertain. This systematic review aims to evaluate the existing evidence on the use of digital health interventions for patients undergoing cardiac surgery. A comprehensive search of PubMed MEDLINE, Elsevier EMBASE, Elsevier Scopus databases, and ClinicalTrials.gov was conducted to identify relevant studies published up to the present. Studies that examined the effects of digital health interventions, including mobile applications and web-based interventions, on perioperative care and patient outcomes in cardiac surgery were included. The data were extracted and synthesized to provide a comprehensive overview of the findings. The search yielded 15 studies composed of 4041 patients, analyzing the feasibility and implementation of mobile or internet applications for patients undergoing cardiac surgery. The studies included the use of mobile applications (ManageMySurgery, SeamlessMD, mHeart, Telediaglog, ExSed, Soulage Tavie, Heart Health application, and Mayo Clinic Health Connection) and web-based interventions (Heartnet and Active Heart). The findings indicated that these digital health interventions were associated with improved patient engagement, satisfaction, and reduced healthcare utilization. Patients reported finding the interventions helpful in their recovery process, and there was evidence of enhanced symptom monitoring and timely intervention. The completion rates of modules varied depending on the phase of care, with higher engagement observed during the acute phase. Interest in using digital health applications was expressed by patients, regardless of age, gender, or complexity of the cardiac defect. The results demonstrated that web-based interventions resulted in improvements in mental health, quality of life, and eHealth literacy. This systematic review highlights the potential benefits of digital health interventions in the context of cardiac surgery. Further research, including randomized controlled trials, is needed to establish the effectiveness, feasibility, and generalizability of digital health interventions in cardiac surgery.

Real-world demographic patterns of users of a digital primary prevention service for diabetes

Rapid urbanization has led to an exponential increase in lifestyle-associated metabolic disorders presenting a huge socioeconomic burden. Waya is a digital prevention program that guides overweight and obese individuals to maintain a healthy lifestyle through exercise, diet, and educational videos.

Objectives and aims

We aimed to study the demographic patterns of the Waya cohort and examine the prevalence of diabetes (the most common lifestyle-associated metabolic disorder) and its risk factors in comparison to the GEDA 2014/2015-European Health Interview Survey population.

Methods

Waya participants who registered by 1 October 2020 and who answered at least one health survey question were included in this study. Factors such as obesity, hypertension, and diabetes between the two populations were compared using Chi-square test.

Results

Of the 837 participants, 86.1% were women. The proportion of obese participants was higher in Waya than in the German Health Update (GEDA) cohort (women: 39.4% vs. 18%, P < 0.05; men: 37.1% vs. 18.3%, P < 0.05), whereas the proportion of participants with hypertension (women: 12.1% vs. 30.9% in GEDA, P < 0.05; men: 22.4% vs. 32.8% in GEDA, P < 0.05) was lower. The proportion of women with diabetes was low in our cohort (3.9% vs. 7% in GEDA, P < 0.05); however, the proportion of men with diabetes remained the same between the two groups. We observed significant differences between the GEDA and Waya cohorts due to changes in the prevalence pattern over time or target bias of the digital program.

Conclusion

These findings showcase the usability of Waya in collecting real-world insights, which will be beneficial in monitoring the prevalence of chronic metabolic disorders and associated risk factors over time.

Evaluation of prototype risk prediction tools for clinicians and people living with type 2 diabetes in North West London using the think aloud method

The prevalence of type 2 diabetes in North West London (NWL) is relatively high compared to other parts of the United Kingdom with outcomes suboptimal. This presents a need for more effective strategies to identify people living with type 2 diabetes who need additional support. An emerging subset of web-based interventions for diabetes self-management and population management has used artificial intelligence and machine learning models to stratify the risk of complications from diabetes and identify patients in need of immediate support. In this study, two prototype risk prediction tools on the MyWay Diabetes and MyWay Clinical platforms were evaluated with six clinicians and six people living with type 2 diabetes in NWL using the think aloud method. The results of the sessions with people living with type 2 diabetes showed that the concept of the tool was intuitive, however, more instruction on how to correctly use the risk prediction tool would be valuable. The feedback from the sessions with clinicians was that the data presented in the tool aligned with the key diabetes targets in NWL, and that this would be useful for identifying and inviting patients to the practice who are overdue for tests and at risk of complications. The findings of the evaluation have been used to support the development of the prototype risk predictions tools. This study demonstrates the value of conducting usability testing on web-based interventions designed to support the targeted management of type 2 diabetes in local communities.

Digital Health and Community Health Worker Support for Diabetes Management: a Randomized Controlled Trial

OBJECTIVE

The aim of this study was to evaluate the effectiveness of a digital health intervention plus community health worker (CHW) support on self-monitoring of blood glucose and glycosylated hemoglobin (HbA1c) among adult Medicaid beneficiaries with diabetes.

DESIGN

Randomized controlled trial.

SETTING

Urban outpatient clinic.

PARTICIPANTS

Adult Medicaid beneficiaries living with diabetes and treated with insulin and who had a HbA1c ≥ 9%.

INTERVENTION

Participants were randomly assigned to one of three arms. Participants in the usual-care arm received a wireless glucometer if needed. Those in the digital arm received a lottery incentive for daily glucose monitoring. Those in the hybrid arm received the lottery plus support from a CHW if they had low adherence or high blood glucose levels.

MAIN MEASURES

The primary outcome was the difference in adherence to daily glucose self-monitoring at 3 months between the hybrid and usual-care arms. The secondary outcome was difference in HbA1c from baseline at 6 months.

KEY RESULTS

A total of 150 participants were enrolled in the study. A total of 102 participants (68%) completed the study. At 3 months, glucose self-monitoring rates in the hybrid versus usual-care arms were 0.72 vs 0.65, p = 0.23. At 6 months, change in HbA1c in the hybrid versus usual-care arms was - 0.74% vs - 0.49%, p = 0.69.

CONCLUSION

There were no statistically significant differences between the hybrid and usual care in glucose self-monitoring adherence or improvements in HbA1C.

TRIAL REGISTRATION

This trial is registered with clinicaltrials.gov identifier: NCT03939793.

Development and psychometric evaluation of a new brief scale to measure eHealth literacy in people with type 2 diabetes

Background

The internet has become a major source of health information, and obtaining appropriate information requires various abilities and skills, labeled as electronic health literacy (eHealth literacy). The existing instruments for measuring eHealth literacy are outdated because they were developed during the Web 1.0 era, or not sufficiently sensitive for people with a specific condition or disease because they were designed to assess eHealth literacy over a broad range for a general population. Approximately one in ten adults worldwide live with diabetes. Health professionals have a responsibility to identify patients with low eHealth literacy to prevent them from obtaining misleading internet diabetes information.

Aims

The aims were to develop a condition-specific eHealth literacy scale for diabetes and to evaluate its psychometric properties among people with type 2 diabetes.

Methods

An instrument development design was used. This study recruited 453 people diagnosed with type 2 diabetes at the outpatient clinics of hospitals in 2021. Psychometric properties (internal consistency, measurement invariance, and content, structural, convergent, and known-groups validities) were analyzed.

Results

An expert panel assessed content validity. Exploratory factor analysis, exploratory graph analysis, and confirmatory factor analysis (CFA) for structural validity yielded a two-factor solution (CFI = 0.977, SRMR = 0.029, RMSEA = 0.077). Cronbach’s alpha and omega values were excellent for each factor (0.87–0.94). Multigroup CFA yielded configural and metric measurement invariance across the gender, age, and glycemic control status groups. Convergent validity with a comparator instrument to measure health literacy was supported by a moderate correlation, and known-groups validity determined using groups with different internet-use frequencies was satisfied with a high effect size.

Conclusion

A new condition-specific eHealth literacy scale for people with type 2 diabetes was developed, comprising 10 items. The scale exhibited good psychometric properties; however, test–retest reliability must be determined for the stability of the scale and cross-cultural validity is required among different languages. The brief scale has the merits of being feasible to use in busy clinical practice and being less burdensome to respondents. The scale can be applied in clinical trials of internet-based diabetes interventions for assessing the eHealth literacy of respondents.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12912-022-01062-2.

Factors Related to the Continuity of Care and Self-Management of Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Study in Taiwan

BACKGROUND

Most diabetic patients suffer from chronic diseases affecting their self-management status. This study aims to explore the relationship between the CoC and the self-management of patients with Type 2 Diabetes Mellitus (T2DM) and analyze the predictive factors affecting their self-management.

METHODS

Structured questionnaires were used for data collection. Convenient sampling was adopted to recruit inpatients diagnosed with T2DM in the endocrine ward of a medical hospital in central Taiwan.

RESULTS

A total of 160 patients were recruited. The average age of the patients is 66.60 ± 14.57 years old. Among the four dimensions of the self-management scale, the average score of the problem-solving dimension was the highest, and that of the self-monitoring of blood glucose was the lowest. The analysis results showed that the overall regression model could explain 20.7% of the total variance in self-management.

CONCLUSIONS

Healthcare providers should attach importance to the CoC of T2DM patients and encourage patients to maintain good interaction with healthcare providers during their hospitalization. It is recommended to strengthen CoC for patients with diabetes who are single or with low educational levels in clinical practice to enhance their blood glucose control and improve diabetes self-management.

The Challenges Toward Real-world Implementation of Digital Health Design Approaches: Narrative Review

BACKGROUND

Digital health represents an important strategy in the future of health care delivery. Over the past decade, mobile health has accelerated the agency of health care users. Despite prevailing excitement about the potential of digital health, questions remain on efficacy, uptake, usability, and patient outcome. This challenge is confounded by 2 industries, digital and health, which have vastly different approaches to research, design, testing, and implementation. In this regard, there is a need to examine prevailing design approaches, weigh their benefits and challenges toward implementation, and recommend a path forward that synthesizes the needs of this complex stakeholder group.

OBJECTIVE

In this review, we aimed to study prominent digital health intervention design approaches that mediate the digital health space. In doing so, we sought to examine the origins, perceived benefits, contrasting nuances, challenges, and typical use-case scenarios of each methodology.

METHODS

A narrative review of digital health design approaches was performed between September 2020 and April 2021 by referencing keywords such as "digital health design," "mHealth design," "e-Health design," "agile health," and "agile healthcare." The studies selected after screening were those that discussed the design and implementation of digital health design approaches. A total of 120 studies were selected for full-text review, of which 62 (51.6%) were selected for inclusion in this review.

RESULTS

A review identifying the 5 overarching digital health design approaches was compiled: user-centered design, person-based design, human-centered design, patient-centered design, and patient-led design. The findings were synthesized in a narrative structure discussing the origins, advantages, disadvantages, challenges, and potential use-case scenarios.

CONCLUSIONS

Digital health is experiencing the growing pains of rapid expansion. Currently, numerous design approaches are being implemented to harmonize the needs of a complex stakeholder group. Whether the end user is positioned as a person, patient, or user, the challenge to synthesize the constraints and affordances of both digital design and health care, built equally around user satisfaction and clinical efficacy, remains paramount. Further research that works toward a transdisciplinarity in digital health may help break down friction in this field. Until digital health is viewed as a hybridized industry with unique requirements rather than one with competing interests, the nuances that each design approach posits will be difficult to realize in a real-world context. We encourage the collaboration of digital and health experts within hybrid design teams, through all stages of intervention design, to create a better digital health culture and design ethos.

Digital Patient Experience: Umbrella Systematic Review

BACKGROUND

The adoption and use of technology have significantly changed health care delivery. Patient experience has become a significant factor in the entire spectrum of patient-centered health care delivery. Digital health facilitates further improvement and empowerment of patient experiences. Therefore, the design of digital health is served by insights into the barriers to and facilitators of digital patient experience (PEx).

OBJECTIVE

This study aimed to systematically review the influencing factors and design considerations of PEx in digital health from the literature and generate design guidelines for further improvement of PEx in digital health.

METHODS

We performed an umbrella systematic review following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology. We searched Scopus, PubMed, and Web of Science databases. Two rounds of small random sampling (20%) were independently reviewed by 2 reviewers who evaluated the eligibility of the articles against the selection criteria. Two-round interrater reliability was assessed using the Fleiss-Cohen coefficient (k1=0.88 and k2=0.80). Thematic analysis was applied to analyze the extracted data based on a small set of a priori categories.

RESULTS

The search yielded 173 records, of which 45 (26%) were selected for data analysis. Findings and conclusions showed a great diversity; most studies presented a set of themes (19/45, 42%) or descriptive information only (16/45, 36%). The digital PEx-related influencing factors were classified into 9 categories: patient capability, patient opportunity, patient motivation, intervention technology, intervention functionality, intervention interaction design, organizational environment, physical environment, and social environment. These can have three types of impacts: positive, negative, or double edged. We captured 4 design constructs (personalization, information, navigation, and visualization) and 3 design methods (human-centered or user-centered design, co-design or participatory design, and inclusive design) as design considerations.

CONCLUSIONS

We propose the following definition for digital PEx: "Digital patient experience is the sum of all interactions affected by a patient's behavioral determinants, framed by digital technologies, and shaped by organizational culture, that influence patient perceptions across the continuum of care channeling digital health." In this study, we constructed a design and evaluation framework that contains 4 phases-define design, define evaluation, design ideation, and design evaluation-and 9 design guidelines to help digital health designers and developers address digital PEx throughout the entire design process. Finally, our review suggests 6 directions for future digital PEx-related research.

Time Synchronization of Multimodal Physiological Signals through Alignment of Common Signal Types and Its Technical Considerations in Digital Health

Background: Despite advancements in digital health, it remains challenging to obtain precise time synchronization of multimodal physiological signals collected through different devices. Existing algorithms mainly rely on specific physiological features that restrict the use cases to certain signal types. The present study aims to complement previous algorithms and solve a niche time alignment problem when a common signal type is available across different devices. Methods: We proposed a simple time alignment approach based on the direct cross-correlation of temporal amplitudes, making it agnostic and thus generalizable to different signal types. The approach was tested on a public electrocardiographic (ECG) dataset to simulate the synchronization of signals collected from an ECG watch and an ECG patch. The algorithm was evaluated considering key practical factors, including sample durations, signal quality index (SQI), resilience to noise, and varying sampling rates. Results: The proposed approach requires a short sample duration (30 s) to operate, and demonstrates stable performance across varying sampling rates and resilience to common noise. The lowest synchronization delay achieved by the algorithm is 0.13 s with the integration of SQI thresholding. Conclusions: Our findings help improve the time alignment of multimodal signals in digital health and advance healthcare toward precise remote monitoring and disease prevention.

Randomised controlled trial of a web-based low carbohydrate diet intervention for adults with type 2 diabetes: the T2Diet study protocol

INTRODUCTION

Type 2 diabetes (T2D) management frequently involves a multidisciplinary care team. However, standard care for patients with T2D is the central role of the general practice physician, and consists of routine appointments to monitor glycaemic status and overall health. Dietary modification is an essential component of T2D management. Evidence suggests that a low carbohydrate diet (LCD) provides better clinical outcomes for people with T2D compared with other diets. However, providing dietary support in face-to-face settings is challenged by issues of availability and accessibility. Provided in conjunction with standard care, digital interventions can help bridge this gap. The objective of this paper is to describe the protocol of a randomised controlled trial (RCT) of a web-based intervention that will evaluate the effectiveness of standard care plus web-based LCD intervention when compared with standard care only.

METHODS AND ANALYSIS

In a two-arm parallel RCT, 100 adults with non-insulin-dependent T2D aged between 40 and 89 years will be randomised to either a theoretically informed 16-week automated web-based LCD intervention plus standard care or standard care only. LCD recommendations emphasise consuming nutrient-dense whole foods and encourage a daily carbohydrate goal of 50-100 g, with an objective of achieving 10% to <26% carbohydrates from total energy intake. Assessments will take place at baseline and 16 weeks. The primary outcome will be haemoglobin A1c. Additional data collected will include dietary intake, self-efficacy, weight and height, anti-diabetes medication and dosages, and diabetes-related comorbidities. Process evaluation will consist of a mixed-methods assessment of website engagement metrics, user experience and participants' perspectives.

ETHICS AND DISSEMINATION

All study procedures have been approved by the Deakin University Human Research Ethics Committee (2020-349). Study findings will be disseminated widely through public, professional and academic presentation and publication.

TRIAL REGISTRATION NUMBER

Australian New Zealand Clinical Trials Registry (ACTRN12621000096853).

Key Considerations for Understanding Usability of Digital Health Initiatives for Adults With Type 2 Diabetes: A Systematic Qualitative Literature Review

AIMS

The rapidly growing number of adults with type 2 diabetes globally means the uses and benefits of digital health initiatives to enhance self-management of diabetes warrant review. This systematic qualitative literature review aimed to understand usability of digital health initiatives for adults with type 2 diabetes.

METHODS

This systematic qualitative literature review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, the PRISMA 2020 Statement methodology. Three databases were used (SCOPUS, Medline, and CINAHL) to identify studies published from 2016 to 2021 that focused on experiences, evaluations, and usability of digital health initiatives aimed at helping adults with type 2 diabetes to self-manage their condition.

RESULTS

From the 407 studies identified, 35 studies were assessed for eligibility with 10 studies included in the final synthesis. Five main themes emerged: (1) unmet emotional needs, (2) enhancing self-management, (3) desire for education, (4) usability/user-experience, and (5) risk of biomedical marker reductionism.

CONCLUSIONS

This review identified 5 key themes for consideration to understand usability of digital health initiatives. If these unmet psychosocial needs of adults with type 2 diabetes are better addressed in digital health initiatives, enhanced daily self-management will lead to more optimal diabetes management which can increase overall health outcomes, reduce the risk of longer-term complications, enhance quality of life for type 2 diabetes and improve more widespread adoption of digital health initiatives.

Design of a randomized controlled trial of digital health and community health worker support for diabetes management among low-income patients

BACKGROUND

Insulin-dependent diabetes is a challenging disease to manage and involves complex behaviors, such as self-monitoring of blood glucose. This can be especially challenging in the face of socioeconomic barriers and in the wake of the COVID-19 pandemic. Digital health self-monitoring interventions and community health worker support are promising and complementary best practices for improving diabetes-related health behaviors and outcomes. Yet, these strategies have not been tested in combination. This protocol paper describes the rationale and design of a trial that measures the combined effect of digital health and community health worker support on glucose self-monitoring and glycosylated hemoglobin.

METHODS

The study population was uninsured or publicly insured; lived in high-poverty, urban neighborhoods; and had poorly controlled diabetes mellitus with insulin dependence. The study consisted of three arms: usual diabetes care; digital health self-monitoring; or combined digital health and community health worker support. The primary outcome was adherence to blood glucose self-monitoring. The exploratory outcome was change in glycosylated hemoglobin.

CONCLUSION

The design of this trial was grounded in social justice and community engagement. The study protocols were designed in collaboration with frontline community health workers, the study aim was explicit about furthering knowledge useful for advancing health equity, and the population was focused on low-income people. This trial will advance knowledge of whether combining digital health and community health worker interventions can improve glucose self-monitoring and diabetes-related outcomes in a high-risk population.

Managing Diabetes Using Mobiab: Long Term Case Study of the Impact of a Mobile App on Self-Management (Preprint)

Background

This paper describes the development of a mobile app for diabetes mellitus (DM) control and self-management and presents the results of long-term usage of this system in the Czech Republic. DM is a chronic disease affecting large numbers of people worldwide, and this number is continuously increasing. There is massive potential to increase adherence to self-management of DM with the use of smartphones and digital therapeutics interventions.

Objective

This study aims to describe the process of development of a mobile app, called Mobiab, for DM management and to investigate how individual features are used and how the whole system benefits its long-term users. Using at least 1 year of daily records from users, we analyzed the impact of the app on self-management of DM.

Methods

We have developed a mobile app that serves as an alternative form to the classic paper-based protocol or diary. The development was based on cooperation with both clinicians and people with DM. The app consists of independent individual modules. Therefore, the user has the possibility to use only selected features that they find useful. Mobiab was available free of charge on Google Play Store from mid-2014 until 2019. No targeted recruitment was performed to attract users.

Results

More than 500 users from the Czech Republic downloaded and signed up for the mobile app. Approximately 80% of the users used Mobiab for less than 1 week. The rest of the users used it for a longer time and 8 of the users produced data that were suitable for long-term analysis. Additionally, one of the 8 users provided their medical records, which were compared with the gathered data, and the improvements in their glucose levels and overall metabolic stability were consistent with the way in which the mobile app was used.

Conclusions

The results of this study showed that the usability of a DM-centered self-management smartphone mobile app and server-based systems could be satisfactory and promising. Nonetheless, some better ways of motivating people with diabetes toward participation in self-management are needed. Further studies involving a larger number of participants are warranted to assess the effect on long-term diabetes management.

Views and needs of people who at high-risk of gestational diabetes mellitus for the development of mobile health applications: A descriptive qualitative research (Preprint)

Background

Early prevention of gestational diabetes mellitus (GDM) can reduce the incidence of not only GDM, but also adverse perinatal pregnancy outcomes. Moreover, it is of great significance to prevent or reduce the occurrence of type 2 diabetes. Mobile health (mHealth) apps can help pregnant women effectively prevent GDM by providing risk prediction, lifestyle support, peer support, professional support, and other functions. Before designing mHealth apps, developers must understand the views and needs of pregnant women, and closely combine users’ needs to develop app functions, in order to better improve user experience and increase the usage rate of these apps in the future.

Objective

The objective of this study was to understand the views of the high-risk population of gestational diabetes mellitus on the development of mobile health apps and the demand for app functions, so as to provide a basis for the development of gestational diabetes mellitus prevention apps.

Methods

Fifteen pregnant women with at least one risk factor for gestational diabetes were recruited from July to September 2021, and were interviewed via a semistructured interview using the purpose sampling method. The transcribed data were analyzed by the traditional content analysis method, and themes were extracted.

Results

Respondents wanted to develop user-friendly and fully functional mobile apps for the prevention of gestational diabetes mellitus. Pregnant women's requirements for app function development include: personalized customization, accurate information support, interactive design, practical tool support, visual presentation, convenient professional support, peer support, reasonable reminder function, appropriate maternal and infant auxiliary function, and differentiated incentive function.These function settings can encourage pregnant women to improve or maintain healthy living habits during their use of the app

Conclusions

This study discusses the functional requirements of target users for gestational diabetes mellitus prevention apps, which can provide reference for the development of future applications.

Estimating the impact of engagement with digital health interventions on patient outcomes in randomized trials

OBJECTIVE

Guidance is needed on studying engagement and treatment effects in digital health interventions, including levels required for benefit. We evaluated multiple analytic approaches for understanding the association between engagement and clinical outcomes.

MATERIALS AND METHODS

We defined engagement as intervention participants' response rate to interactive text messages, and considered moderation, standard regression, mediation, and a modified instrumental variable (IV) analysis to investigate the relationship between engagement and clinical outcomes. We applied each approach to two randomized controlled trials featuring text message content in the intervention: REACH (Rapid Encouragement/Education and Communications for Health), which targeted diabetes, and VERB (Vanderbilt Emergency Room Bundle), which targeted hypertension.

RESULTS

In REACH, the treatment effect on hemoglobin A1c was estimated to be -0.73% (95% CI: [-1.29, -0.21]; P = 0.008), and in VERB, the treatment effect on systolic blood pressure was estimated to be -10.1 mmHg (95% CI: [-17.7, -2.8]; P = 0.007). Only the IV analyses suggested an effect of engagement on outcomes; the difference in treatment effects between engagers and non-engagers was -0.29% to -0.51% in the REACH study and -1.08 to -3.25 mmHg in the VERB study.

DISCUSSION

Standard regression and mediation have less power than a modified IV analysis, but the IV approach requires specification of assumptions. This is the first review of the strengths and limitations of various approaches to evaluating the impact of engagement on outcomes.

CONCLUSIONS

Understanding the role of engagement in digital health interventions can help reveal when and how these interventions achieve desired outcomes.

User Requirements for Co-Managed Digital Health & Care (Preprint)

Background

The sustainability of health and social care has led to an imperative to shift the balance of care to communities and support person-centered, integrated, preventive, comanaged, and sustainable care. The digital tool set can support this shift; however, it must extend beyond a clinical focus to include broader personal, social, and environmental needs, experiences, and outcomes. The existing digital health and care design and user requirements literature focuses mainly on specific digital products or design methods. There is little whole-system or whole-of-life consideration, which is crucial to enacting more significant transformations that span different groups and domains.

Objective

This study aimed to present a set of recurring user requirements and themes for comanaged digital health and care services derived from the body of co-design projects within a digital health and care program. This study aimed to enable people and organizations looking to reorient their approach to health and care research and delivery from a system-led and condition-specific approach to a more person-centric, whole-of-life model.

Methods

Participatory design formed the core methodological approach in underlying the design research, from which user requirements were derived. The process of surfacing requirements involved a selection framework for the identification of eligible projects and a structured review process to consolidate user requirements.

Results

This paper presents a set of 14 common user requirements that resulted from a review of co-design projects. The findings demonstrate overlapping and reinforcing sets of needs from citizens and care professionals related to how data are comanaged to improve care and outcomes. This paper discusses the alignment, contrasts, and gaps with broader, comparable literature. It highlights consensus around requirements for personal health storytelling, sharing data on care experiences and how this can support personalized guidance, visualize trends to support decision-making, and generally improve dialog between a citizen and care professionals. These findings identify gaps around how groups and networks of people engage, posing difficult questions for people designing support services as some of the user requirements are not easily met by organizations operating in silos.

Conclusions

This study proposes future recommendations for citizens as active, informed, and consenting partners using new forms of privacy-preserving digital infrastructure that puts the citizen in firm control. It is also recommended that these findings be used by people developing new digital services to ensure that they can start with knowledge of the broader user requirement context. This should inform domain-specific research and development questions and processes. Further work is needed to extend these common requirements to more explicitly consider the trust framework required when citizens comanage their data and care across a broad range of formal and informal actors. Consideration of how authority, delegation, and trust function between members of the public will be critical.

Identifying modifiable factors that could arrest progression to type 2 diabetes: A cluster analysis of Australian adults

Lifestyle-based disease prevention and self-management strategies play an important role in the mitigation of health, social, and economic burdens associated with type 2 diabetes mellitus (T2DM) and other chronic diseases. However, there are significant implementation and translational challenges associated with the design and delivery of effective interventions. In this study, data-driven techniques for the identification of optimal target audiences and intervention targets for T2DM prevention interventions were applied. Australian adults (N = 3159) with differing T2DM status (no diabetes diagnosis, pre-diabetes, or T2DM) completed self-report assessments of diet quality, physical activity, psychological distress, future orientation, health literacy, and socio-demographic characteristics. K-medoids cluster analysis was conducted to identify homogenous groups within the research sample and proportional odds ordinal logistic regressions conducted to identify signficant predictors of T2DM status within each cluster. Results identified a two-factor optimal solution that stratified participants based on sex (male/female). Within each cluster, psychosocial variables explained approximately 25% of the variance in T2DM status, with future orientation identified as a significant modifiable predictor of T2DM. For the male cluster, health literacy was also significant (p ≤0.01). Findings indicate that men and women should be targeted separately in T2DM prevention or management programs and that future interventional research targeting future orientation is warranted.

Efficacy of lifestyle intervention program for Arab women with prediabetes using social media as an alternative platform of delivery

AIMS/INTRODUCTION

This 6-month interventional study aimed to investigate the effectiveness of different educational programs among Saudi women with prediabetes referred by primary care.

MATERIALS AND METHODS

A total of 253 (100 group education program [GEP], 84 WhatsApp education program [WEP] and 69 control group [CG]) eligible participants were invited to take part in the study, out of whom 120 received intervention (40 GEP, 43 WEP and 37 CG). GEP participants received focused, individualized lifestyle modification advice with bimonthly support sessions, WEP participants received the same intervention, but delivered through social media (WhatsApp). The CG received standard care. Anthropometrics, biochemical profiles and macronutrient intake were measured at baseline, and 3 and 6 months. The primary end-points were glycated hemoglobin and weight, with lipids and dietary changes as secondary outcomes.

RESULTS

Glycated hemoglobin significantly improved in all groups post-intervention (GEP baseline 6.0 ± 0.2 vs 6 months 5.5 ± 0.54; P < 0.001, WEP 6.0 ± 0.26 vs 5.3 ± 0.51; P < 0.001, CG 6.0 ± 0.37 vs 5.7 ± 0.49; P < 0.001), but with no difference in between-group comparisons (P = 0.33). Within-group comparisons showed a reduction in weight, but only in the GEP group (90.6 kg ± 27.3 vs 84.8 kg ± 24.3; P < 0.01), and this was significant in between-group comparison (P = 0.003). Significant between-group comparisons with respect to energy (g) intake (P = 0.005) were also observed, as well as triglycerides (P < 0.001) and low-density lipoprotein cholesterol (P = 0.001), all in favor of the GEP group.

CONCLUSIONS

Diabetes prevention programs, whether delivered through a focused educational group, social media or standard care, are equally efficacious in improving glycated hemoglobin levels among Saudi women with prediabetes, but a focused educational group was more effective in terms of successful weight loss.

Identifying critical features of type two diabetes prevention interventions: A Delphi study with key stakeholders

Aims

This study aims to identify critically important features of digital type two diabetes mellitus (T2DM) prevention interventions.

Methods

A stakeholder mapping exercise was undertaken to identify key end-user and professional stakeholders, followed by a three-round Delphi procedure to generate and evaluate evidence statements related to the critical elements of digital T2DM prevention interventions in terms of product (intervention), price (funding models/financial cost), place (distribution/delivery channels), and promotion (target audiences).

Results

End-user (n = 38) and professional (n = 38) stakeholders including patients, dietitians, credentialed diabetes educators, nurses, medical doctors, research scientists, and exercise physiologists participated in the Delphi study. Fifty-two critical intervention characteristics were identified. Future interventions should address diet, physical activity, mental health (e.g. stress, diabetes-related distress), and functional health literacy, while advancing behaviour change support. Programs should be delivered digitally or used multiple delivery modes, target a range of population subgroups including children, and be based on collaborative efforts between national and local and government and non-government funded organisations.

Conclusions

Our findings highlight strong support for digital health to address T2DM in Australia and identify future directions for T2DM prevention interventions. The study also demonstrates the feasibility and value of stakeholder-led intervention development processes.

Continuity of Care and Self-Management among Patients with Stroke: A Cross-Sectional Study

(1) Background: Stroke is an important topic in the healthcare industry. The objective of the present study was to investigate patients' sociodemographic characteristics, health status, continuity of care, self-management, and other predictors that affect their self-management. (2) Methods: This cross-sectional correlational study was carried out from March to September 2020, and included a total of 150 patients aged 20 and above who were diagnosed within the past 6 months. The research participants were selected from the Division of Neurology, Department of Internal Medicine/Department of Surgery, at a medical center in Central Taiwan. (3) Results: The mean self-management score of patients with stroke was 110.50 points (30-150 points). As shown in the stepwise regression analysis, the overall regression model explained approximately 44.5% of the variance in self-management. Educational level (10.8%), frequency of exercise per week (2.1%), time that patients were affected by stroke (2.4%), and continuity of care (29.2%) were the main predictors affecting the self-management of stroke patients. (4) Conclusions: To improve stroke patients' self-management, medical teams should provide appropriate continuity of care to those with lower educational levels, those without exercise habits, and those who experienced a stroke within the past six months.

The Burden of Type 2 Diabetes and the Value of Achieving Near Normoglycemia from the Patient Perspective

INTRODUCTION

Type 2 diabetes (T2D) is extremely burdensome to people with T2D and associated with impaired health-related quality of life. This study explores the impact of T2D and potentially relevant outcomes for new therapies using a unique approach to in-depth qualitative interviews where people with T2D are asked to think about their future with T2D.

METHODS

A cross-sectional qualitative interview study among people with T2D from the USA and UK. Interviews explored their treatment journey, perceptions of their future with T2D, and the value of achieving normoglycemia (explored through presentation of two vignettes with hypothetical medications that reduced hemoglobin A1c [HbA1c] levels < 7% and < 5.7%).

RESULTS

Patients with T2D (N = 50; US n = 25; UK n = 25) were 66.0% male, had a mean body mass index (BMI) of 30.8 ± 6.3 kg/m², and had a mean of 13.0 ± 10.0 years since diagnosis. Current diabetes treatments included diet and exercise only (8.0%), oral medications only (62.0%), oral plus injections (24.0%), and insulin only (6.0%). Despite being treated, participants reported over 25 different unmet needs related to their T2D across a broad range of domains. The most common concerns were diet, diabetes-related complications, weight changes, and psychological and emotional issues. A large majority of participants indicated that achieving lower HbA1c values would change their life. When reflecting on the value of improved glycemic control, patients primarily anticipated physical improvements and improved psychological well-being. When presented with two hypothetical treatments, about 70% of participants preferred the < 5.7% treatment option over the < 7% HbA1c treatment option.

CONCLUSIONS

People with T2D have a high disease burden, a broad range of unmet needs, and extremely varied experiences and expectations on the impacts of T2D on their lives and future. Many patients indicated that achieving near normoglycemia would substantially change their lives primarily in terms of their physical and emotional health.

Educational Processes for Health and Disease Self-Management in Public Health: A Systematic Review

This study systematically reviewed processes and educational programs for self-management of health and diseases that are the subject of public health attention. This systematic review of the literature (SRL) is relevant to recognizing the characteristics of the educational processes in self-managing chronic diseases in contexts where technology did not play a significant role. Following the PRISMA protocol, the authors independently reviewed full-text articles from several databases using the following criteria: (1) intervention studies evaluating the effects of self-management health programs; (2) educational process of disease self-management; (3) studies that included at least one control group, and (4) peer-reviewed studies. In addition, the Scottish Intercollegiate Guideline Network measurement tool was used to assess the risk of bias in each trial. In the final sample, 38 articles were included. The findings regarding health education methods of self-care, using community-based care and technological tools, are considered fundamental. Among the conclusions, the relevance of the pedagogy that health education processes demand improvement in post-pandemic program effectiveness stands out.

Participants' Views on Lifestyle Intervention Program Enhancing Long-Term Health-Related Behaviors Improvement among Prehypertension and/or Prediabetes Mellitus Older Adults: A Qualitative Study Examined in Thailand at Health Promoting Hospitals

This study aimed to investigate the view of prediabetes and prehypertension elderly patients living around temple on long-term self-management in proficient way underneath the lifestyle intervention program based on both focus-group discussion and In-depth interview methods to fill the gap in partially successful intervention. 62 participants were selected from 220 participants of the quantitative published study by 2 researchers. The triangulation method was used to put great emphasis on the consistency and the credibility of the results. Almost all of the participants had benefited from the program regarding proper foods, suitable exercise and an inspiration of lifestyle modification. They made changes of eating behavior and exercise behavior during program attendance, however, after the program had finished, they had minimal concern to take care of themselves. Nonetheless, more than half of them demonstrated some health-related behaviors changes due to they gave the value of the suggestion in different aspects. Moreover, high-frequency program attendance was not related to blood results improvement. The knowledge obtained from program intervention together with adequate contact between the patient and the program staff, personal problems solving, personal attitude, practice and acceptable played a key role for long-term lifestyle modification and completely successful intervention.

What’s the Name of the Game? The Impact of eHealth on Productive Interactions in Chronic Care Management

Chronic care management is dependent on productive interactions between patients and healthcare professionals. Digital health technologies (eHealth) open up new possibilities for improving the quality of care, but there is a limited understanding of what productive interactions entail. This study explores characteristics of productive interactions to support self-care and healthcare in the context of eHealth use in diabetes care. We collected qualitative data based on interviews with nurses and responses to open-ended survey questions from patients, prior to and post using an eHealth service for self-monitoring and digital communication. We found that eHealth’s influence on productive interactions was characterized by unconstrained access, health parameter surveillance, and data-driven feedback, with implications for self-care and healthcare. Our findings indicate that eHealth perforates the boundaries that define interactions under traditional, non-digital care. This was manifested in expressions of uncertainty and in blurred boundaries between self-care and healthcare. We conclude that the attainment of a sustainable eHealth ecosystem will require healthcare to acknowledge eHealth as a disruptive change that may require re-organization to optimally support the productive use of eHealth services for both patients and staff, which includes agreement on new routines, as well as social interaction rules.

The development of a digital intervention to increase influenza vaccination amongst pregnant women

Objective

Pregnant women and unborn babies are at increased risk of complications from influenza, including pneumonia, yet in the UK, uptake of flu vaccination amongst this population remains <50%. Pregnant women hold beliefs about risks of flu and efficacy of vaccination that consistently predict them to decline vaccination. This study aimed to develop a theory and evidence-based intervention addressing these beliefs to promote flu vaccine uptake.

Methods

The intervention was developed by behavioural scientists, pregnant women, midwives, clinicians and Public Health professionals, informed by Intervention Mapping. Six predefined steps were performed in line with Intervention Mapping.

Results

The intervention is an animation addressing beliefs about risks of flu and efficacy of vaccination. Preliminary testing using qualitative methodology indicates the information within the animation is appropriate, and the animation is acceptable to pregnant women.

Conclusions

This is the first known intervention for pregnant women, aiming to increase flu vaccination through addressing risk and efficacy appraisals. It has been implemented within seasonal flu vaccination campaigns during 2018/19 and 2019/20 within one geographically and ethnically diverse area of the UK.

Developing a web-based support using self-affirmation to motivate lifestyle changes in type 2 diabetes: A qualitative study assessing patient perspectives on self-management and views on a digital lifestyle intervention

AIMS

The aim of the present study was to explore patients' experiences of diabetes self-management and views on a digital lifestyle intervention using self-affirmation to motivate lifestyle changes.

METHODS

Semi-structured interviews focusing on needs, attitudes, and barriers to diabetes self-management were conducted with 22 individuals with type 2 diabetes recruited from the All New Diabetics in Scania (ANDIS) cohort. The interviews were followed by three additional study visits, where participants gave feedback on computer-based assignments based on self-affirmation. Interviews and feedback were qualitatively analyzed using thematic analysis.

RESULTS

Participants described a range of barriers to diabetes self-management, and a varying sense of urgency and distress related to diabetes management. A need for accessible, reliable, and relevant information was reported, as well as a sense that required lifestyle changes was incompatible with current life situation. Further, the use of self-affirmation was described as relevant, motivating and engaging.

CONCLUSIONS

Barriers to diabetes self-management need to be addressed when supporting diabetes self-management, e.g. through carefully matching the support to the patient's readiness to change, supporting patient autonomy and focusing on long-term changes. Using self-affirmation may raise acceptability of a digital lifestyle intervention and help connect diabetes self-management with overall life context, by guiding the patient to focus on personal relevance.

Diabetes care provided by national standards can improve patients' self-management skills: A qualitative study of how people with type 2 diabetes perceive primary diabetes care

BACKGROUND

The increasing incidence of type 2 diabetes mellitus [T2DM] has resulted in extensive research into the characteristics of successful primary diabetes care. Even if self-management support and continuity are increasingly recognized as important, there is still a need for deeper understanding of how patients' experiences of continuity of care coincide with their needs for self-management and/or self-management support.

OBJECTIVE

To gain a deeper understanding of how people with T2DM perceive Swedish primary diabetes care and self-management support.

METHODS

This qualitative study used focus groups as the means for data collection. Participants were identified through a purposive sampling method differing in age, sex, diabetes duration and latest registered glycated haemoglobin level. Twenty-eight participants formed five focus groups. Qualitative content analysis was applied to interview transcripts.

RESULTS

The main theme emerging from the focus group data was that diabetes care provided by national standards improved self-management skills. Two themes that emerged from the analysis were (a) the importance of a clarification of structures and procedures in primary diabetes care and (b) health-care staff 'being there' and providing support enables trust and co-operation to enhance self-management.

CONCLUSIONS

Individual patients' self-management resources are strengthened if the importance of providing relational continuity, management continuity and informational continuity is considered. Patients also need assistance on 'how' self-management activities should be performed.

PATIENT CONTRIBUTION

Prior to the study, one pilot focus group was conducted with patients to obtain their perspectives on the content of the planned focus groups; thus, patients were involved in both planning and conduct of the study.

A Novel User Utility Score for Diabetes Management Using Tailored Mobile Coaching: Secondary Analysis of a Randomized Controlled Trial

Background

Mobile health applications have been developed to support diabetes self-management, but their effectiveness could depend on patient engagement. Therefore, patient engagement must be examined through multifactorial tailored behavioral interventions from an individual perspective.

Objective

This study aims to evaluate the usefulness of a novel user utility score (UUS) as a tool to measure patient engagement by using a mobile health application for diabetes management.

Methods

We conducted a subanalysis of results from a 12-month randomized controlled trial of a tailored mobile coaching (TMC) system among insurance policyholders with type 2 diabetes. UUS was calculated as the sum of the scores for 4 major core components (range 0-8): frequency of self-monitoring blood glucose testing, dietary and exercise records, and message reading rate. We explored the association between UUS for the first 3 months and glycemic control over 12 months. In addition, we investigated the relationship of UUS with blood pressure, lipid profile, and self-report scales assessing diabetes self-management.

Results

We divided 72 participants into 2 groups based on UUS for the first 3 months: UUS:0-4 (n=38) and UUS:5-8 (n=34). There was a significant between-group difference in glycated hemoglobin test (HbA_1c) levels for the 12-months study period (P=.011). The HbA_1c decrement at 12 months in the UUS:5-8 group was greater than that of the UUS:0-4 group [–0.92 (SD 1.24%) vs –0.33 (SD 0.80%); P=.049]. After adjusting for confounding factors, UUS was significantly associated with changes in HbA_1c at 3, 6, and 12 months; the regression coefficients were –0.113 (SD 0.040; P=.006), –0.143 (SD 0.045; P=.002), and –0.136 (SD 0.052; P=.011), respectively. Change differences in other health outcomes between the 2 groups were not observed throughout a 12-month follow-up.

Conclusions

UUS as a measure of patient engagement was associated with changes in HbA_1c over the study period of the TMC system and could be used to predict improved glycemic control in diabetes self-management through mobile health interventions.

Trial Registration

ClinicalTrial.gov NCT03033407; https://clinicaltrials.gov/ct2/show/NCT03033407