A systematic review of nudge theories and strategies used to influence adult health behaviour and outcome in diabetes management

The regulatory status of health apps that employ gamification

Smartphone applications are one of the main delivery modalities in digital health. Many of these mHealth apps use gamification to engage users, improve user experience, and achieve better health outcomes. Yet, it remains unclear whether gamified approaches help to deliver effective, safe, and clinically beneficial products to users. This study examines the compliance of 69 gamified mHealth apps with the EU Medical Device Regulation and assesses the specific risks arising from the gamified nature of these apps. Of the identified apps, 32 (46.4%) were considered non-medical devices; seven (10.1%) were already cleared/approved by the regulatory authorities, and 31 (44.9%) apps were assessed as likely non-compliant or potentially non-compliant with regulatory requirements. These applications and one approved application were assessed as on the market without the required regulatory approvals. According to our analysis, a higher proportion of these apps would be classified as medical devices in the US. The level of risk posed by gamification remains ambiguous. While most apps showed only a weak link between the degree of gamification and potential risks, this link was stronger for those apps with a high degree of gamification or an immersive game experience.

Effects of nudge strategy-based dietary education intervention in patients with type 2 diabetes mellitus: A cluster randomized controlled trial

OBJECTIVES

We aimed to assess the clinical effects of dietary education intervention utilizing the nudge strategy in individuals with type 2 diabetes mellitus (T2DM).

BACKGROUND

The global prevalence of T2DM and its associated complications presents a significant health challenge. While the benefits of dietary education intervention for blood glucose management are widely acknowledged, patients often struggle to adhere to dietary recommendations. The implementation of the nudge strategy may offer a promising solution to change unhealthy dietary behavior and enhance diabetes control among individuals with T2DM.

METHODS

This is a sub-study within a broader cluster-randomized trial that evaluated the effects of nudge-based dietary education and traditional dietary education intervention. Measurements of HbA1c, fasting blood glucose (FBG), body mass index (BMI), blood lipid levels, blood pressure, dietary behavior, and diabetes distress were assessed at baseline and 3 months after the intervention in 147 individuals with T2DM from six primary care practices in Beijing, China.

RESULTS

All outcome measurements were complete at two time points for 134 participants. Results showed that compared to the control group, the intervention group achieved a significantly greater reduction in HbA1c, FBG, BMI, total cholesterol, low-density lipoprotein cholesterol, blood pressure, total energy intake, carbohydrate intake, fat intake, and protein intake and had lower diabetes distress. The intervention group also maintained HDL-C levels and had a significantly greater increase in vegetable intake, while changes in triglycerides were similar in the two groups.

CONCLUSION

The present study provides evidence that nudge strategy-based dietary education intervention is effective in improving blood glucose, BMI, blood lipid levels, and blood pressure and facilitating changes in patients' dietary behavior and diabetes distress. These findings suggest that implementing nudge strategies can contribute to the optimization of T2DM dietary management and overall patient well-being.

An Integrative Scoping Review of Behavioral Economics Applications in Higher Education: Opportunities for Academic Pharmacy

OBJECTIVES

This integrative scoping review explores the applications of behavioral economics within higher education, particularly, through the lens of nudging (a concept that leverages insights from economics and psychology to guide individuals' decisions subtly). The primary objective is to provide a broad overview of interventions that use behavioral economics principles and, secondarily, discuss their potential to improve pharmacy education and create a foundation for future research in this area.

FINDINGS

The review analyzed 89 studies that applied behavioral economics principles in higher education settings. Reminders and prompts were the most frequently used principles, with generally positive outcomes, especially in enrollment management. Framing, incentives, and salience also demonstrated effectiveness, depending on the context. Social norms and simplification showed mixed results, whereas priming, loss aversion, feedback, comparison, and commitment had varying degrees of success in influencing behavior.

SUMMARY

Behavioral economics principles offer valuable insights and tools for enhancing various aspects of education. The review highlights the potential for using these principles to improve student engagement, enrollment processes, and health and well-being initiatives. However, it emphasizes the importance of context-specific design and careful implementation when applying these interventions. Future research opportunities exist to further explore the applications of behavioral economics in pharmacy education and beyond.

Advancing Diabetes Self-Management: A Novel Smartphone Application Featuring a Scoring Algorithm for Tailored User Engagement

Background

We developed and evaluated an intelligent diabetes assistant application (Diabetter) for the self-management of diabetes. It suggested that increasing the patient's interest and participation in using smartphone apps is important for the effectiveness of diabetes management apps.

Methods

After evaluating all-encompassing features for diabetes management, we divided the selected factors into sub-factors for use in the application. Then, we created the first high-fidelity prototype using related programs and conducted early user testing to validate and improve Diabetter. To handle the user transaction time and keep them motivated, we designed and implemented a scoring system based on the nudge theory rules within the app.

Results

To evaluate Diabetter's impact on diabetes self-management, we measured HbA1c levels after a prolonged period. The Diabetter prototype was developed and modified in a revised version for better user interaction with the app. The scoring system increased the input of users' information, which resulted in more analysis and recommendations to users. Clinical studies showed that as a result of continuous input of information from users who had been using the application for a longer period of time, their HbA1c levels were within the healthy range.

Conclusions

The results demonstrate that the Diabetter application has been able to play an effective role in diabetes self-management by increasing users' app usage time. However, future study is needed to provide a better interpretation.

Nurse-led sequential multiple assignment randomized trial of nudging intervention for early antiretroviral therapy initiation among patients with HIV/AIDS: Implementation study protocol

AIMS

In China, more than 30% of patients have not initiated treatment within 30 days of HIV diagnosis. Delayed initiation has a detrimental influence on disease outcomes and increases HIV transmission. The study aims to evaluate the effectiveness of a nurse-led antiretroviral therapy initiation nudging intervention for people newly diagnosed with HIV in China to find the optimal intervention implementation strategy.

METHODS

A Hybrid Type II sequential multiple assignment randomized trial will be conducted at four Centers for Disease Control and Prevention in Hunan, China. This study will recruit 447 people newly diagnosed with HIV aged ≥18 years and randomly assign them into two intervention groups and one control group. On top of the regular counselling services and referrals, intervention groups will receive a 4-week, 2-phase intervention based on the dual-system theory and the nudge theory. The control group will follow the currently recommended referral procedures. The primary outcomes are whether treatment is initiated, as well as the length of time it takes. The study outcomes will be measured at the baseline, day 15, day 30, week 12, week 24 and week 48. Generalized estimating equations and survival analysis will be used to compare effectiveness and explore factors associated with antiretroviral therapy initiation. Both qualitative and quantitative information will be collected to assess implementation outcomes.

DISCUSSION

Existing strategies mostly target institutional-level factors, with little consideration given to patients' decision-making. To close this gap, we aim to develop an effective theory-driven nudging strategy to improve early ART initiation.

IMPACT

This nurse-led study will help to prevent delayed initiation by employing implementation science strategies for people newly diagnosed with HIV. This study contributes to the United Nations' objective of ending the AIDS pandemic by 2030.

TRIAL REGISTRATION

Chinese Clinical Trial Registry ChiCTR2300070140. The trial was prospectively registered before the first participant was recruited.

PATIENT AND PUBLIC INVOLVEMENT

The nudging intervention was finalized through the Nominal Group Technique where we invited five experts in the related field and five people living with HIV to participate.

The Nudging Effect of a Reminder Letter to Reduce Duplicated Medications: A Randomized Controlled Trial

BACKGROUND

The increasing trend of multiple chronic conditions across the world has worsened the problem of medication duplication in health care systems without gatekeeping or referral requirement. Thus, to overcome this problem, a reminder letter has been developed in Taiwan to nudge patients to engage in medication management.

OBJECTIVE

To evaluate the effect of reminder letter on reducing duplicated medications.

RESEARCH DESIGN

A 2-arm randomized controlled trial design.

SUBJECTS

Patients with duplicated medications in the first quarter of 2019.

MEASURES

The Taiwanese single-payer National Health Insurance Administration identified the eligible patients for this study. A postal reminder letter regarding medication duplication was mailed to the patients in the study group, and no information was provided to the comparison group. Generalized estimation equation models with a difference-in-differences analysis were used to estimate the effects of the reminder letters.

RESULTS

Each group included 11,000 patients. Those who had received the reminder letter were less likely to receive duplicated medications in the subsequent 2 quarters (postintervention 1: odds ratio [OR]=0.95, 95% CI=0.87-1.03; postintervention_2: OR=0.99, 95% CI=0.90-1.08) and had fewer days of duplicated medications (postintervention 1: β=-0.115, P =0.015; postintervention 2 (β=-0.091, P =0.089) than those who had not received the reminder letter, showing marginal but significant differences.

CONCLUSIONS

A one-off reminder letter nudge could mildly decrease the occurrence of duplicated medications. Multiple nudges or nudges incorporating behavioral science insights may be further considered to improve medication safety in health systems without gatekeeping.

Attraction and achievement as 2 attributes of gamification in healthcare: an evolutionary concept analysis

This study conducted a conceptual analysis of gamification in healthcare utilizing Rogers’ evolutionary concept analysis methodology to identify its attributes and provide a method for its applications in the healthcare field. Gamification has recently been used as a health intervention and education method, but the concept is used inconsistently and confusingly. A literature review was conducted to derive definitions, surrogate terms, antecedents, influencing factors, attributes (characteristics with dimensions and features), related concepts, consequences, implications, and hypotheses from various academic fields. A total of 56 journal articles in English and Korean, published between August 2 and August 7, 2023, were extracted from databases such as PubMed Central, the Institute of Electrical and Electronics Engineers, the Association for Computing Machinery Digital Library, the Research Information Sharing Service, and the Korean Studies Information Service System, using the keywords “gamification” and “healthcare.” These articles were then analyzed. Gamification in healthcare is defined as the application of game elements in health-related contexts to improve health outcomes. The attributes of this concept were categorized into 2 main areas: attraction and achievement. These categories encompass various strategies for synchronization, enjoyable engagement, visual rewards, and goal-reinforcing frames. Through a multidisciplinary analysis of the concept’s attributes and influencing factors, this paper provides practical strategies for implementing gamification in health interventions. When developing a gamification strategy, healthcare providers can reference this analysis to ensure the game elements are used both appropriately and effectively.

Decreasing Opioid Addiction and Diversion Using Behavioral Economics Applied Through a Digital Engagement Solution: Protocol for a Randomized Controlled Trial

BACKGROUND

Despite strong and growing interest in ending the ongoing opioid health crisis, there has been limited success in reducing the prevalence of opioid addiction and the number of deaths associated with opioid overdoses. Further, 1 explanation for this is that existing interventions target those who are opiate-dependent but do not prevent opioid-naïve patients from becoming addicted.

OBJECTIVE

Leveraging behavioral economics at the patient level could help patients successfully use, discontinue, and dispose of their opioid medications in an acute pain setting. The primary goal of this project is to evaluate the effect of the 3 versions of the Opioid Management for You (OPY) tool on measures of opioid use relative to the standard of care by leveraging a pragmatic randomized controlled trial (RCT).

METHODS

A team of researchers from the Center for Learning Health System Sciences (CLHSS) at the University of Minnesota partnered with M Health Fairview to design, build, and test the 3 versions of the OPY tool: social influence, precommitment, and testimonial version. The tool is being built using the Epic Care Companion (Epic Inc) platform and interacts with the patient through their existing MyChart (Epic Systems Corporation) personal health record account, and Epic patient portal, accessed through a phone app or the MyChart website. We have demonstrated feasibility with pilot data of the social influence version of the OPY app by targeting our pilot to a specific cohort of patients undergoing upper-extremity procedures. This study will use a group sequential RCT design to test the impact of this important health system initiative. Patients who meet OPY inclusion criteria will be stratified into low, intermediate, and high risk of opiate use based on their type of surgery.

RESULTS

This study is being funded and supported by the CLHSS Rapid Prospective Evaluation and Digital Technology Innovation Programs, and M Health Fairview. Support and coordination provided by CLHSS include the structure of engagement, survey development, data collection, statistical analysis, and dissemination. The project was initially started in August 2022. The pilot was launched in February 2023 and is still running, with the data last counted in August 2023. The actual RCT is planned to start by early 2024.

CONCLUSIONS

Through this RCT, we will test our hypothesis that patient opioid use and diverted prescription opioid availability can both be improved by information delivery applied through a behavioral economics lens via sending nudges directly to the opioid users through their personal health record.

TRIAL REGISTRATION

ClinicalTrials.gov NCT06124079; https://clinicaltrials.gov/study/NCT06124079.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/52882.

Self-driven solutions and resilience adapted by people with drug-resistant tuberculosis and their caregivers in Bengaluru and Hyderabad, India: a qualitative study

Background

One-fifth of people with drug-resistance tuberculosis (DR-TB) who were initiated on newer shorter treatment regimen (with injection) had unfavourable treatment outcomes in India as on 2020. Evidence on self-driven solutions and resilience adapted by people with DR-TB (PwDR-TB) towards their multi-dimensional disease and treatment challenges are scarce globally, which we aimed to understand.

Methods

In this qualitative study using positive deviance framework, we conducted semi-structured in-depth interviews among consenting adult PwDR-TB (7 women, 13 men) who completed shorter treatment regimen (including injections) with maximum treatment adherence. The study was conducted in the southern districts of Bengaluru and Hyderabad, India between June 2020 and December 2022. Caregivers (14 women, 6 men) and health providers (8 men, 2 women) of PwDR-TB were also interviewed. Interviews were conducted in local language (Kannada, Tamil, Telugu, Urdu and Hindi) and inquired about practices, behaviours, experiences, perceptions and attributes which enabled maximum adherence and resilience of PwDR-TB. Interviews were audio recorded, transcribed, and translated to English and coded for thematic analysis using inductive approach.

Findings

Distinctive themes explanatory of the self-driven solutions and resilience exhibited by PwDR-TB and their caregivers were identified: (i) Self-adaptation towards the biological consequences of drugs, by personalised nutritional and adjuvant practices, which helped to improve drug ingestion and therapeutic effects. Also home remedies and self-plans for ameliorating injection pain. (ii) Perceptual adaptation towards drugs aversion and fatigue, by their mind diversion practices, routinisation and normalisation of drug intake process. and constant reinforcement and re-interpretation of bodily signs of disease recovery (iii) Family caregivers intense and participatory care for PwDR-TB, by aiding their essential life activities and ensuring survival, learning and fulfilling special nutritional needs and goal oriented actions to aid drug intake (iv) Health care providers care, marked by swift and timely risk mitigation of side-effects and crisis response (v) Acquired self-efficacy of PwDR-TB, by their decisive family concerns resulting in attitudinal change. Also being sensitised on the detrimental consequences of disease and being motivated through positive examples.

Interpretation

Synthesised findings on self-driven solutions and resilience towards the multi-dimensional DR-TB challenges provides opportunity for developing and testing new interventions for its effectiveness in DR-TB care settings globally. Designing and testing personalised cognitive interventions for PwDR-TB: to inculcate attitudinal change and self-efficacy towards medication, developing cognitive reinforcements to address the perception burden of treatment, skill building and mainstreaming the role of family caregivers as therapeutic partners of PwDR-TB, curating self-adaptive behaviours and practices of PwDR-TB to normalise their drug consumptions experiences could be the way forward in building resilience towards DR-TB.

Funding

United States Agency for International Development (USAID) through Karnataka Health Promotion Trust (KHPT), Bengaluru, India.

Promoting Medication Adherence in Children with Attention Deficit Hyperactivity Disorder: A Mixed-Methods Systematic Review with Meta-analysis and Qualitative Comparative Analysis

OBJECTIVE

To evaluate the efficacy of ADHD medication adherence interventions and explore the pathways to effectiveness.

METHODS

A systematic review was conducted using multiple databases to identify relevant randomized controlled trials (RCTs). Pooled effect sizes were calculated for medication adherence and ADHD symptom outcomes. Qualitative Comparative Analysis (QCA) was used to identify pathways to effectiveness.

RESULTS

Six RCTs were included. The interventions significantly improved medication adherence (OR = 2.39, 95% CI [1.19, 4.79]) and ADHD symptoms (Hedges' g = -0.96, 95% CI [-1.38, -0.54]). Multi-regression analysis showed a positive relationship between medication adherence and ADHD symptom reduction. QCA revealed two paths for effectiveness: (1) Presence of ADHD drug education and absence of reminder and (2) Presence of tracking and absence of reminder.

CONCLUSION

ADHD medication adherence interventions have a positive impact on both medication adherence and ADHD symptoms. Interventions should consider including ADHD drug education or tracking to maximize effectiveness.

Developing an Artificial Intelligence-Driven Nudge Intervention to Improve Medication Adherence: A Human-Centred Design Approach

To improve medication adherence, we co-developed a digital, artificial intelligence (AI)-driven nudge intervention with stakeholders (patients, providers, and technologists). We used a human-centred design approach to incorporate user needs in creating an AI-driven nudge tool. We report the findings of the first stage of a multi-phase project: understanding user needs and ideating solutions. We interviewed healthcare providers (n = 10) and patients (n = 10). Providers also rated example nudge interventions in a survey. Stakeholders felt the intervention could address existing deficits in medication adherence tracking and were optimistic about the solution. Participants identified flexibility of the intervention, including mode of delivery, intervention intensity, and the ability to stratify to user ability and needs, as critical success factors. Reminder nudges and provision of healthcare worker contact were rated highly by all. Conversely, patients perceived incentive-based nudges poorly. Finally, participants suggested that user burden could be minimised by leveraging existing software (rather than creating a new App) and simplifying or automating the data entry requirements where feasible. Stakeholder interviews generated in-depth data on the perspectives and requirements for the proposed solution. The participatory approach will enable us to incorporate user needs into the design and improve the utility of the intervention. Our findings show that an AI-driven nudge tool is an acceptable and appropriate solution, assuming it is flexible to user requirements.

Nudging oral habits; application of behavioral economics in oral health promotion: a critical review

Background

Oral health disorders significantly contribute to the global incidence of chronic diseases. Nudge interventions have demonstrated effectiveness in enhancing people's decision-making and self-management capacities in a cost-efficient manner. As a result, these interventions could be valuable tools for fostering improved oral care habits. This critical review explores potential behavioral nudges applicable to promoting oral health.

Methods

A thorough electronic literature search was conducted on Scopus, Embase, and PubMed databases for papers published post-2008. The search focused on empirical evidence concerning the direct and indirect application of Nudge theory in oral health enhancement. In addition, the investigation included the nudge intervention's role in managing common non-communicable disease risk factors (tobacco, alcohol, and sugar) and their use in other health sectors.

Results and conclusion

There is a dearth of studies on behavioral economics, particularly those involving reward and reminder techniques. However, various successful nudge interventions have been identified in other sectors that aim to improve health decisions. These include strategies encouraging healthier nutritional choices, tobacco and alcohol cessation, medication compliance, routine physical activity, and regular health check-ups. Such interventions can also have direct or indirect positive impacts on oral health. Implementing these interventions within an oral care framework could promote oral health due to similar underlying cognitive mechanisms. However, different types of nudge interventions have varying degrees of effectiveness. Furthermore, factors such as the method of delivery and the characteristics of the targeted population significantly influence the outcome of the intervention. Hence, it is imperative to conduct extensive studies in diverse socioeconomic settings to fully understand the potentials, limitations, and impacts of nudge interventions in promoting oral health.

Haptic Nudging Using a Wearable Device to Promote Upper Limb Activity during Stroke Rehabilitation: Exploring Diurnal Variation, Repetition, and Duration of Effect

Haptic nudging via wearable devices promotes physical activity and may increase upper limb movement in stroke rehabilitation. This study investigated the optimal approach to haptic nudging by examining diurnal variation, duration of effect, and repeated nudging. The study analysed data from a multiple-period randomised crossover study. A 12 h inpatient rehabilitation day was divided into 72 intervals in which participants with stroke (n = 20) randomly received either a 'nudge' or 'no nudge'. Upper limb movement was observed, classified, and analysed using longitudinal mixed models. The odds of affected upper limb movement following a nudge compared with no nudge were significantly higher during active periods such as breakfast, lunch, and morning and afternoon activities (odds ratios (ORs) 2.01-4.63, 95% CIs [1.27-2.67, 3.17-8.01]), but not dinner (OR 1.36, 95% CI [0.86, 2.16]). The effect of nudging was no longer statistically significant at 50-60 s post-nudge. Consecutive delays in nudging significantly decreased the odds of moving when a nudge was eventually delivered. Contrary to expectations, people with stroke appear more responsive to haptic nudging during active periods rather than periods of inactivity. By understanding the optimal timing and frequency of haptic nudging, the design of wearable devices can be optimised to maximise their therapeutic benefits.

Physical therapy in diabetic foot ulcer: Research progress and clinical application

Diabetes foot ulcer (DFU) is one of the most intractable complications of diabetes and is related to a number of risk factors. DFU therapy is difficult and involves long-term interdisciplinary collaboration, causing patients physical and emotional pain and increasing medical costs. With a rising number of diabetes patients, it is vital to figure out the causes and treatment techniques of DFU in a precise and complete manner, which will assist alleviate patients' suffering and decrease excessive medical expenditure. Here, we summarised the characteristics and progress of the physical therapy methods for the DFU, emphasised the important role of appropriate exercise and nutritional supplementation in the treatment of DFU, and discussed the application prospects of non-traditional physical therapy such as electrical stimulation (ES), and photobiomodulation therapy (PBMT) in the treatment of DFU based on clinical experimental records in ClinicalTrials.gov.

Role of Caregivers in Remote Management of Patients With Type 2 Diabetes Mellitus: Systematic Review of Literature

BACKGROUND

With the growing use of remote monitoring technologies in the management of patients with type 2 diabetes mellitus (T2DM), caregivers are becoming important resources that can be tapped into to improve patient care.

OBJECTIVE

This review aims to summarize the role of caregivers in the remote monitoring of patients with T2DM.

METHODS

We performed a systematic review in MEDLINE, Embase, Scopus, PsycINFO, and Web of Science up to 2022. Studies that evaluated the role of caregivers in remote management of adult patients with T2DM were included. Outcomes such as diabetes control, adherence to medication, quality of life, frequency of home glucose monitoring, and health care use were evaluated.

RESULTS

Of the 1198 identified citations, 11 articles were included. The majority of studies were conducted in North America (7/11, 64%) and South America (2/11, 18%). The main types of caregivers studied were family or friends (10/11, 91%), while the most common remote monitoring modalities evaluated were interactive voice response (5/11, 45%) and phone consultations (4/11, 36%). With regard to diabetes control, 3 of 6 studies showed improvement in diabetes-related laboratory parameters. A total of 2 studies showed improvements in patients' medication adherence rates and frequency of home glucose monitoring. Studies that evaluated patients' quality of life showed mixed evidence. In 1 study, increased hospitalization rates were noted in the intervention group.

CONCLUSIONS

Caregivers may play a role in improving clinical outcomes among patients with T2DM under remote monitoring. Studies on mobile health technologies are lacking to understand their impact on Asian populations and long-term patient outcomes.

A Tailored mHealth App for Improving Health and Well-Being Behavioral Transformation in UK Police Workers: Usability Testing via a Mixed Methods Study

BACKGROUND

When considering the policing environment of 2022, many roles previously in the domain of warranted officers (police officer) are now performed by nonwarranted police staff equivalents. These police staff roles have expanded rapidly into other areas such as investigations, custody, and contact management, which were traditionally seen as police officer functions and put staff under some of the same stresses as police officers. A UK police force requested help in investigating technologies that could be used to improve health and well-being for both officers and staff.

OBJECTIVE

The aim of this study was to create a health and well-being app for police officers and staff, which considered the unique requirements of the users throughout the designing, building, prototyping, and testing stages.

METHODS

This study involved quantitative approaches (demographic web-based survey questions and the System Usability Scale) and qualitative approaches (open web-based survey questions and semistructured interviews). Unsupervised usability testing of a prototype app was undertaken by members (N=48) of the commissioning client using their smartphones. After completing a preregistration application for screening purposes, participants downloaded a trial version of the app. Then, they completed a web-based questionnaire after testing the app for 10 days. A subsample of participants (9/48, 19%) was interviewed. Deductive thematic analysis was undertaken to identify key themes and subthemes.

RESULTS

Data collected during usability testing concerned the 6 domains of the app-food and diet, activity, fluid intake, sleep, good mental health, and financial well-being-and informed the creation of improved design during prototyping. Some usability and design issues and suggestions for improvements were also addressed and implemented-including shift management and catch-up cards-during this cycle of development.

CONCLUSIONS

This study highlights the importance of coparticipation with officers and staff across the entire development cycle, to coproduce a human-centered design methodology to enable the development of a considered and user-centered solution. It demonstrates the need for producing a multifunctional tool rather than focusing purely on an individual element for this user group. It also highlights how linking and being able to track optional, personalized elements of health data against one another, cross-referenced to individual shift patterns, might help to inform and provide users with a chance for reflection and therefore influence behavior change.

Assessing Interventions on Crowdsourcing Platforms to Nudge Patients for Engagement Behaviors in Primary Care Settings: Randomized Controlled Trial

BACKGROUND

Engaging patients in health behaviors is critical for better outcomes, yet many patient partnership behaviors are not widely adopted. Behavioral economics-based interventions offer potential solutions, but it is challenging to assess the time and cost needed for different options. Crowdsourcing platforms can efficiently and rapidly assess the efficacy of such interventions, but it is unclear if web-based participants respond to simulated incentives in the same way as they would to actual incentives.

OBJECTIVE

The goals of this study were (1) to assess the feasibility of using crowdsourced surveys to evaluate behavioral economics interventions for patient partnerships by examining whether web-based participants responded to simulated incentives in the same way they would have responded to actual incentives, and (2) to assess the impact of 2 behavioral economics-based intervention designs, psychological rewards and loss of framing, on simulated medication reconciliation behaviors in a simulated primary care setting.

METHODS

We conducted a randomized controlled trial using a between-subject design on a crowdsourcing platform (Amazon Mechanical Turk) to evaluate the effectiveness of behavioral interventions designed to improve medication adherence in primary care visits. The study included a control group that represented the participants' baseline behavior and 3 simulated interventions, namely monetary compensation, a status effect as a psychological reward, and a loss frame as a modification of the status effect. Participants' willingness to bring medicines to a primary care visit was measured on a 5-point Likert scale. A reverse-coding question was included to ensure response intentionality.

RESULTS

A total of 569 study participants were recruited. There were 132 in the baseline group, 187 in the monetary compensation group, 149 in the psychological reward group, and 101 in the loss frame group. All 3 nudge interventions increased participants' willingness to bring medicines significantly when compared to the baseline scenario. The monetary compensation intervention caused an increase of 17.51% (P<.001), psychological rewards on status increased willingness by 11.85% (P<.001), and a loss frame on psychological rewards increased willingness by 24.35% (P<.001). Responses to the reverse-coding question were consistent with the willingness questions.

CONCLUSIONS

In primary care, bringing medications to office visits is a frequently advocated patient partnership behavior that is nonetheless not widely adopted. Crowdsourcing platforms such as Amazon Mechanical Turk support efforts to efficiently and rapidly reach large groups of individuals to assess the efficacy of behavioral interventions. We found that crowdsourced survey-based experiments with simulated incentives can produce valid simulated behavioral responses. The use of psychological status design, particularly with a loss framing approach, can effectively enhance patient engagement in primary care. These results support the use of crowdsourcing platforms to augment and complement traditional approaches to learning about behavioral economics for patient engagement.

A micro-randomized pilot study to examine the impact of just-in-time nudging on after-dinner snacking in adults with type 2 diabetes: A study protocol

AIM

To determine whether a digital nudge soon after dinner reduces after-dinner snacking events as measured objectively by continuous glucose monitoring (CGM) in patients with type 2 diabetes (T2D).

METHODS

This is a single-site micro-randomized trial (MRT). People with T2D, aged 18-75 years, managed with diet or a stable dose of oral antidiabetic medications for at least 3 months, and who habitual snack after dinner at least 3 nights per week, will be recruited. Picto-graphic nudges were designed by mixed research methods. After a 2-week lead-in phase to determine eligibility and snacking behaviours by a CGM detection algorithm developed by the investigators, participants will be micro-randomized daily (1:1) to a second 2-week period to either a picto-graphic nudge delivered-in-time (Intui Research) or no nudge. During lead-in and MRT phases, 24-hour glucose will be measured by CGM, sleep will be tracked by an under-mattress sleep sensor, and dinner timing will be captured daily by photographing the evening meal.

RESULTS

The primary outcome is the difference in the incremental area under the CGM curve between nudging and non-nudging days during the period from 90 minutes after dinner until 04:00 AM. Secondary outcomes include the effect of baseline characteristics on treatment, and comparisons of glucose peaks and time-in-range between nudging and non-nudging days. The feasibility of 'just-in-time' messaging and nudge acceptability will be evaluated, along with the analysis of sleep quality measures and their night-to-night variability.

CONCLUSIONS

This study will provide preliminary evidence of the impact of appropriately timed digital nudges on 24 -hour intertitial glucose levels resulting from altered after-dinner snacking in people with T2D. An exploratory sleep substudy will provide evidence of a bidirectional relationship between after-dinner snacking behaviour, glycaemia and sleep. Ultimately, this study will allow for the design of a future confirmatory study of the potential for digital nudging to improve health related behaviours and health outcomes.

Nudge for Environmental Restructuring in Diabetes Self-Management: Comment on Existing Systematic Reviews

Diabetes self-management education and support are necessary for all people living with diabetes, but its accessibility is limited worldwide. Nudge strategies have been proposed as an environmental outreach for diabetes management. This article provides further insights regarding environmental restructuring nudges into the cumulative evidence on diabetes self-management interventions from existing systematic reviews that classified primary trials using the behavior change technique taxonomy (BCTTv1). Among the 137 relevant articles searched through the bibliographic databases until 2022, three systematic reviews were scrutinized. Environmental restructuring nudges have been tested in interpersonal communications for diabetes self-management. Although nudge-based techniques were used with other types of behavior techniques in various trial contexts, the independent effects of social restructuring nudges were not denied in previous meta-analyses. Environmental restructuring nudges may be feasible in diabetes management, but they are still controversial with internal and external validation. Considering care accessibility for diabetes management, social restructuring nudges applied to healthcare providers are expected to complement healthcare systems. For future implementation, the rationale for the practice should be explicit in the conceptualization and evidence synthesis of diabetes-specific nudge interventions based on global sources.

The effectiveness in preventing frailty of exercise intervention provided by community pharmacists to older persons with chronic conditions: A pragmatic randomized controlled trial

BACKGROUND

Once older persons become frail, the risk of falls, bone fractures, and other problems increases. Exercise intervention is a form of prevention that has a high degree of evidence.

OBJECTIVE

We investigated the effectiveness of frailty prevention consisting of exercise intervention by community pharmacists at 11 pharmacies operated by Osaka Pharma Plan.

METHODS

In total, 103 older persons between 70 and 79 years of age (53 males and 50 females) who were suffering from chronic conditions and who visited one of 11 pharmacies between January and March 2021 were enrolled. They were then randomly assigned to either the Intervention group (IG: 6 pharmacies, 61 patients) who were subjected to intervention by a pharmacist, or the Usual Care group (UG: 5 pharmacies, 42 patients) who were not subjected to intervention. At the beginning of the trial and 6 month after, their muscle mass, etc. were measured using a body composition meter, and their Five-Times Sit-To-Stand Test results were also measured. Patients in the IG were provided with information by way of leaflets during the time they were guided regarding taking their medication for a period of one to six months that encouraged exercising at home. Those in the UG were given the standard guidance related to taking their medication.

RESULTS

The amount of change in muscle mass was 1.08 ± 7.83% (95%CI: -1.24-3.41) in IG and - 0.43 ± 2.73% (95%CI:-1.58-0.72) in UG, indicating that there was a trend toward an increase in IG. The percent change in the Five Times Sit-To-Stand Test times at + 6 M was - 0.002 ± 0.24% (95%CI: -0.09-0.05) in IG and - 0.04 ± 0.21% (95%CI:-0.13-0.07) in UG, but in cases in which the second measured time was faster than the first measured time, the results were 65.2% for IG and 29.2% for UG, indicating a significant difference (p = 0.00563).

CONCLUSION

Despite the fact that the amount of time community pharmacists can devote to providing guidance on taking medications is limited, it has been previously reported that providing information to patients causes a change in patient behavior. The results of the present study are highly significant as they suggest the possibility that this may hold true even when used to prevent frailty, based on the evidence obtained.

TRIAL REGISTRATION

This trial was registered at UMIN-CRT on 1st of January, 2021. The registration number is UMIN000042571.

A fuzzy-set qualitative comparative analysis exploration of multiple paths to users' continuous use behavior of diabetes self-management apps

BACKGROUND

Despite the obvious potential benefits of diabetes self-management apps, users' continuous use of diabetes self-management apps is still not widespread. Influential factors coexisted in information ecologies are likely to have a synthetic effect on users' continuous use behavior. However, it is less clear how factors in information ecologies combine to influence users' continuous use behavior.

OBJECTIVE

The objectives of this study are to explore combinations of factors (perceived severity, information quality, service quality, system quality, and social influence) in information ecologies that lead to users' continuous use behavior of diabetes self-management apps and which combination is the most important.

METHODS

Purpose sampling was used to recruit diabetes self-management app users from July 1, 2021 to January 31, 2022. Fuzzy-set qualitative comparative analysis (fsQCA) was then employed by conducting necessity and sufficiency analysis.

RESULTS

In total 280 diabetes self-management app users participated. The necessity analysis indicated that no single factor was necessary to cause users' continuous use behavior, and the sufficiency analysis identified five different combinations of factors that lead to users' continuous use behavior. Of these five, the combination of high information quality, high service quality, and high social influence was found to be the most important path.

CONCLUSIONS

Users' continuous use behavior of diabetes self-management apps results from the synergistic effects of factors in information ecologies. The five paths that directly contribute to users' continuous use, as well as the four user types preliminarily identified in this study may provide a reference for healthcare providers and app developers.

Effects of the theory of planned behavior and nudge strategy-based intervention on the adherence to anticoagulation treatment in patients with non-valvular atrial fibrillation

BACKGROUND

Non-valvular atrial fibrillation is associated with the incidence of thromboembolism. Current guidelines recommend preferential use of novel oral anticoagulants(NOAC) in patients with nonvalvular atrial fibrillation. Oral anticoagulation medication adherence rate was relatively low among discharged patients with non-valvular atrial fibrillation.

AIM

To investigate the effects of the anticoagulation programs based on the theory of planned behavior and nudge strategy among patients with non-valvular atrial fibrillation.

METHODS

130 patients with non-valvular atrial fibrillation were randomized to the intervention group or control group, 72 patients in the intervention group, and 58 patients in the control group with a 6-month follow-up. Medication adherence,intention,attitude, perceived behavioral control and subjective norm and quality of life were assessed.

RESULTS

There were significantly differences in the attitude and subjective norm between the two groups at one month,three months and six months follow-up(P <0.01).There were significantly differences in the perceived behavioral control between the two groups at six months follow-up(P <0.01).There were significantly differences in the intention scale between the two groups at three months follow-up(P <0.01). The medication adherence scale score was higher in the intervention group than in the control group at six months follow-up.However, there were no differences in quality of life between the two groups at six months follow-up.

CONCLUSIONS

The program based on the theory of planned behavior and nudge strategy can improve medication adherence in patients with non-valvular atrial fibrillation.

Automatic medication refills to improve glycaemic control among patients with diabetes and low medication adherence

BACKGROUND

Medication adherence impacts health outcomes. Healthcare organisations implementing system-level interventions have potential for greater spread and sustainability than individual-level interventions. Within the integrated US Veterans Health Administration, a multidisciplinary team developed and evaluated a pilot quality improvement programme to assess the feasibility of automatic mailed prescription refills for patients with diabetes and low medication adherence (assessed by medication possession ratio <80%).

METHODS

Patients were randomised to usual care with self-initiated refills versus automatic mailed refills for 6 months. Process outcomes included glycaemic control measures (HgbA1C), medication possession ratios for both automatic and self-initiated (reference) refills of medications, patient satisfaction and workforce effort (pharmacist time).

RESULTS

Overall, 199 patients were randomised to automatic refills (n=99; 40 of whom participated) versus usual care (n=100). In multivariable analysis adjusting for baseline differences, after 6 months there was no difference in the proportion of patients with follow-up HgbA1C <8% (60.8% automatic refills vs 60.5% usual care, p=0.96). In the automatic refill group, the medication possession ratio for reference medicines was significantly higher than usual care (63.9% vs 54.5%, 95% CI (for difference) 3.1% to 15.9%, p<0.01).

CONCLUSIONS

Implications and lessons from this pilot programme include potential beneficial indirect effects from automatic medication refills on patient self-initiated refills of other medications; the importance of tailoring solutions to patient subgroups and specific adherence barriers; and recognition that the rapid deployment, iteration and evaluation of the project was facilitated by a multidisciplinary team embedded within an organisational learning health system.

Factors affecting adherence to intranasal treatment for allergic rhinitis: A qualitative study

Objective

To determine the facilitators of and barriers to adherence to use of intranasal pharmacotherapy (daily intranasal corticosteroids and/or antihistamine, and nasal saline irrigation [NSI]), for allergic rhinitis (AR).

Methods

Patients were recruited from an academic tertiary care rhinology and allergy clinic. Semi-structured interviews were conducted after the initial visit and/or 4-6 weeks following treatment. Transcribed interviews were analyzed using a grounded theory, inductive approach to elucidate themes regarding patient adherence to AR treatment.

Results

A total of 32 patients (12 male, 20 female; age 22-78) participated (seven at initial visit, seven at follow-up visit, and 18 at both). Memory triggers, such as linking nasal routine to existing daily activities or medications, were identified by patients as the most helpful strategy for adherence at initial and follow-up visits. Logistical obstacles related to NSI (messy, takes time, etc.) was the most common concept discussed at follow-up. Patients modified the regimen based on side effects experienced or perceived efficacy.

Conclusions

Memory triggers help patients adhere to nasal routines. Logistical obstacles related to NSI can deter from use. Health care providers should address both concepts during patient counseling. Nudge-based interventions that incorporate these concepts may help improve adherence to AR treatment.

Level of Evidence

2.

Factors Associated With Self-Efficacy of Foot Self-Care Among Patients With Diabetes Attending a Tertiary Care Center in Saudi Arabia

Several reports have shown self-efficacy to be a reliable way of predicting foot self-care behavior in patients with diabetes. However, at a global level in general, and in Saudi Arabia in particular, investigation of the factors related to self-efficacy in executing foot self-care continues to remain inadequate. This study endeavors to identify the factors associated with the self-efficacy of foot self-care among patients with diabetes in Saudi Arabia. From a tertiary diabetes care center in Saudi Arabia, 175 patients with diabetes were selected to participate in this cross-sectional study. Employing the Arabic version of the Foot Care Confidence Scale (FCCS), the principal end results and the sociodemographic, clinical, and psychosocial independent variables were collected and assessed. From the total reported FCCS score, the mean was found to be 28.1 ± 8.2. Multiple linear regression analysis indicated 2 independent factors were positively associated with a higher reported FCCS score; being middle-aged (< 60 years old) (β=0.31, P< .01) and having a higher score on the Foot Care Outcome Expectations Scale (FCOES) (β=0.36, P< .01). In conclusion, patients with diabetes in Saudi Arabia have a mild level of self-efficacy to perform the needed foot self-care. Therefore, this has turned the spotlight on the young or middle-aged < 60-year-old Saudi population with diabetes as the target group, making them the priority for future self-efficacy promotion programs to upgrade the level of foot self-care.

A Mobile Application to Improve Diabetes Self-Management Using Rapid Prototyping: Iterative Co-Design Approach in Asian Settings

BACKGROUND

Diabetes is a global public health issue, causing burden on healthcare system and increasing risk of mortality. Mobile applications (apps) can be a promising approach to facilitate diabetes self-management. An increasingly utilized approach to facilitate engagement with mobile health (mHealth) technology is to involve potential users in the creation of the technology.

OBJECTIVE

The aim of this study was to use co-design for type 2 diabetes mellitus (T2DM) self-management mHealth development.

METHODS

Three rounds of iterative rapid prototyping panel sessions were conducted with a total of 9 T2DM participants in an Asian setting between Oct 2020 and April 2021. The participants were recruited through convenience sampling. For each round, feedback was gathered through qualitative interviews, and the feedback was used as a reference by the development team to develop and test a more refined version of the app in the next round. Transcribed semi-structured interview data was analyzed thematically using an inductive approach.

RESULTS

Participants' ages ranged from 40 to 69 years. Data saturation was reached, with no new themes emerging from the data. During the sessions, the participants expressed a variety of concerns and feedback on T2DM self-management using EMPOWER app and raised suggestions on the features of ideal T2DM self-management app. Important features include 1) reminders and notifications for medications, 2) Bluetooth integration with glucometers and blood pressure machines to minimize manual entry, 3) enlarged local food database including information on sugar content and recommendations for healthier options, 4) one touch for logging of routine medications and favorite foods, 5) export function for data sharing with physicians. Overall inputs concerned aspects such as user-friendliness of the app, customization possibilities, and educational content for the features in the mobile app.

CONCLUSION

In this study, we explored users' opinions on a T2DM self-management mobile app using co-design approach. This study adds to the growing body of literature on co-designing behavioral mHealth interventions and can potentially guide researchers in mobile app design for other chronic conditions.

The behaviour change behind a successful pilot of hypoglycaemia reduction with HYPO-CHEAT

Background

Children with hypoglycaemia disorders, such as congenital hyperinsulinism (CHI), are at constant risk of hypoglycaemia (low blood sugars) with the attendant risk of brain injury. Current approaches to hypoglycaemia detection and prevention vary from fingerprick glucose testing to the provision of continuous glucose monitoring (CGM) to machine learning (ML) driven glucose forecasting. Recent trends for ML have had limited success in preventing free-living hypoglycaemia, due to a focus on increasingly accurate glucose forecasts and a failure to acknowledge the human in the loop and the essential step of changing behaviour. The wealth of evidence from the fields of behaviour change and persuasive technology (PT) allows for the creation of a theory-informed and technologically considered approach.

Objectives

We aimed to create a PT that would overcome the identified barriers to hypoglycaemia prevention for those with CHI to focus on proactive prevention rather than commonly used reactive approaches.

Methods

We used the behaviour change technique taxonomy and persuasive systems design models to create HYPO-CHEAT (HYpoglycaemia-Prevention-thrOugh-Cgm-HEatmap-Assisted-Technology): a novel approach that presents aggregated CGM data in simple visualisations. The resultant ease of data interpretation is intended to facilitate behaviour change and subsequently reduce hypoglycaemia.

Results

HYPO-CHEAT was piloted in 10 patients with CHI over 12 weeks and successfully identified weekly patterns of hypoglycaemia. These patterns consistently correlated with identifiable behaviours and were translated into both a change in proximal fingerprick behaviour and ultimately, a significant reduction in aggregated hypoglycaemia from 7.1% to 5.4% with four out of five patients showing clinically meaningful reductions in hypoglycaemia.

Conclusions

We have provided pilot data of a new approach to hypoglycaemia prevention that focuses on proactive prevention and behaviour change. This approach is personalised for individual patients with CHI and is a first step in changing our approach to hypoglycaemia prevention in this group.

Types of health-related procrastination in patients with type-2 diabetes: a qualitative content analysis

Background and objectives:

Health-related procrastination refers to a delay in the performance of health-related activities, which is a rather neglected subject despite being critical. Due to the adverse effects of procrastination on the care and treatment of patients with type-2 diabetes, it is necessary to explore procrastination among this group of patients through in-depth studies. The present research was conducted to explain different types of health-related procrastination in patients with type-2 diabetes.

Materials and methods

This qualitative study applied content analysis with 13 patients with type-2 diabetes selected via purposive sampling. Data were collected through individual and semi-structured interviews. The data were then analyzed using Lundman and Graneheim content analysis method.

Findings:

Based on the analysis of the data, instances of health-related procrastination in patients with type-2 diabetes were classified into six main categories, including minimizing self-care, poor adherence to treatment, poor nutritional habits, poor adherence to drug regimen, disregard for disease monitoring, and a sedentary lifestyle.

Conclusions

The results of this study provide an in-depth understanding of the various forms of health-related procrastination in patients with type-2 diabetes. These findings can be employed in the design, implementation, and monitoring of treatment and care programs targeting these patients.

Promoting the adoption of local governmental policy on the reimbursement of chronic disease medicines (PAPMed): study protocol of a field-based cluster randomized trial in rural Nantong, China

Background

Among rural Chinese patients with non-communicable diseases (NCDs), low socioeconomic status increases the risk of developing NCDs and associated financial burdens in paying for medicines and treatments. Despite the chronic disease medicine reimbursement policy of the local government in Nantong City, China, various barriers prevent patients from registering for and benefitting from the policy. This study aims to develop a behavior science-based intervention program for promoting the adoption of the policy and to evaluate the effectiveness of the program compared with usual practices.

Methods

Barriers and opportunities affecting stakeholders in adopting the policy were identified through contextual research and summarized through behavior mapping. The intervention is designed to target these barriers and opportunities through behavior science theories and will be evaluated through a 6-month cluster randomized controlled trial in Tongzhou District, Nantong, China. A total of 30 villages from two townships are randomized in a 1:1 ratio to either the intervention or the control arm (usual practices). Village doctors in the intervention arm (1) receive systematic training on policy details, registration procedures, and intervention protocol, (2) promote the policy and encourage registration, (3) follow up with patients in the first, third, and sixth months after the intervention, and (4) receive financial incentives based on performance. The primary outcome is policy registration rate and the secondary outcomes include the number of patients registering for the policy, medical costs saved, frequency of village doctor visits, and health measures such as blood pressure and glucose levels.

Discussion

This study is one of very few that aims to promote adoption of NCDs outpatient medication reimbursement policies, and the first study to evaluate the impact of these policies on patients’ financial and physical wellbeing in China. The simple, feasible, and scalable intervention is designed based on the theories of behavior science and is applicable to similar low-income regions nationwide where outpatient medical costs remain a financial burden for patients.

Trial registration

ClinicalTrials.govNCT04731194, registered on 29 January 2021; Chinese Clinical Trial Registry ChiCTR2100042152, registered on 14 January 14 2021.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13063-022-06710-1.

A Nudge-Inspired AI-Driven Health Platform for Self-Management of Diabetes

Diabetes mellitus is a serious chronic disease that affects the blood sugar levels in individuals, with current predictions estimating that nearly 578 million people will be affected by diabetes by 2030. Patients with type II diabetes usually follow a self-management regime as directed by a clinician to help regulate their blood glucose levels. Today, various technology solutions exist to support self-management; however, these solutions tend to be independently built, with little to no research or clinical grounding, which has resulted in poor uptake. In this paper, we propose, develop, and implement a nudge-inspired artificial intelligence (AI)-driven health platform for self-management of diabetes. The proposed platform has been co-designed with patients and clinicians, using the adapted 4-cycle design science research methodology (A4C-DSRM) model. The platform includes (a) a cross-platform mobile application for patients that incorporates a macronutrient detection algorithm for meal recognition and nudge-inspired meal logger, and (b) a web-based application for the clinician to support the self-management regime of patients. Further, the platform incorporates behavioral intervention techniques stemming from nudge theory that aim to support and encourage a sustained change in patient lifestyle. Application of the platform has been demonstrated through an illustrative case study via two exemplars. Further, a technical evaluation is conducted to understand the performance of the MDA to meet the personalization requirements of patients with type II diabetes.

A Machine Learning-Based Predictive Model to Identify Patients Who Failed to Attend a Follow-up Visit for Diabetes Care After Recommendations From a National Screening Program

OBJECTIVE

Reportedly, two-thirds of the patients who were positive for diabetes during screening failed to attend a follow-up visit for diabetes care in Japan. We aimed to develop a machine-learning model for predicting people's failure to attend a follow-up visit.

RESEARCH DESIGN AND METHODS

We conducted a retrospective cohort study of adults with newly screened diabetes at a national screening program using a large Japanese insurance claims database (JMDC, Tokyo, Japan). We defined failure to attend a follow-up visit for diabetes care as no physician consultation during the 6 months after the screening. The candidate predictors were patient demographics, comorbidities, and medication history. In the training set (randomly selected 80% of the sample), we developed two models (previously reported logistic regression model and Lasso regression model). In the test set (remaining 20%), prediction performance was examined.

RESULTS

We identified 10,645 patients, including 5,450 patients who failed to attend follow-up visits for diabetes care. The Lasso regression model using four predictors had a better discrimination ability than the previously reported logistic regression model using 13 predictors (C-statistic: 0.71 [95% CI 0.69-0.73] vs. 0.67 [0.65-0.69]; P < 0.001). The four selected predictors in the Lasso regression model were lower frequency of physician visits in the previous year, lower HbA1c levels, and negative history of antidyslipidemic or antihypertensive treatment.

CONCLUSIONS

The developed machine-learning model using four predictors had a good predictive ability to identify patients who failed to attend a follow-up visit for diabetes care after a screening program.

Behavioral Nudges as Patient Decision Support for Medication Adherence: The ENCOURAGE Randomized Controlled Trial

BACKGROUND

Medication adherence is generally low and challenging to address because patient actions control healthcare delivery outside of medical environments. Behavioral nudging changes clinician behavior, but nudging patient decision-making requires further testing. This trial evaluated whether behavioral nudges can increase statin adherence, measured as the proportion of days covered (PDC).

METHODS

In a 12-month parallel-group, unblinded, randomized controlled trial, adult patients in Intermountain Healthcare cardiology clinics were enrolled. Inclusion required an indication for statins and membership in SelectHealth insurance. Subjects were randomized 1:1 to control or nudges. Nudge content, timing, frequency, and delivery route were personalized by CareCentra using machine learning of subject motivations and abilities from psychographic assessment, demographics, social determinants, and the Intermountain Mortality Risk Score. PDC calculation used SelectHealth claims data.

RESULTS

Among 182 subjects, age averaged 63.2±8.5 years, 25.8% were female, baseline LDL-C was 82.5±32.7 mg/dL, and 93.4% had coronary disease. Characteristics were balanced between nudge (n = 89) and control arms (n = 93). The statin PDC was greater at 12 months in the nudge group (PDC: 0.742±0.318) compared to controls (PDC: 0.639±0.358, P = 0.042). Adherent subjects (PDC ≥80%) were more concentrated in the nudge group (66.3% vs controls: 50.5%, P = 0.036) while a composite of death, myocardial infarction, stroke, and revascularization was non-significant (nudges: 6.7% vs control: 10.8%, P = 0.44).

CONCLUSIONS

Persuasive behavioral nudges driven by artificial intelligence resulted in a clinically important increase in statin adherence in general cardiology patients. This precision patient decision support utilized computerized nudge design and delivery with minimal on-going human input.

Healthcare Professionals' Views of Factors Influencing Diabetes Self-Management and the Utility of a mHealth Application and Its Features to Support Self-Care

INTRODUCTION

The perspectives of healthcare professionals (HCPs) are pivotal to co-development of self-management strategies for patients with diabetes. However, literature has been largely limited to perspectives of patients within the context of a Western healthcare setting. This study aims to explore factors influencing diabetes self-management in adult patients with diabetes from the perspectives of HCPs and their views of the value of mHealth application for diabetes self-management.

MATERIALS AND METHODS

We conducted focus group discussions (FGD) with purposively selected HCPs in Singapore. All FGDs were audio-recorded and transcribed verbatim. Thematic analysis was conducted using NVivo 12.

RESULTS

A total of 56 HCPs participated in the study. Barriers to self-management included limited patient commitment to lifestyle changes, suboptimal adherence to medication and treatment, patient resistance to insulin initiation and insufficient rapport between patients and HCPs. Patients' perceived susceptibility to complications, social support from family and community, multidisciplinary team care and patient's understanding of the benefits of self-care were viewed as facilitating self-management. HCPs saw mHealth apps as a vital opportunity to engage patients in the self-management of conditions and empower them to foster behavior changes. Yet, there were concerns regarding patient's limited digital literacy, lack of integration into routine electronic system and reluctance.

DISCUSSION

We identified a set of factors influencing self-management in adult patients with diabetes and useful app features that can empower patients to manage their conditions. Findings will inform the development of a mHealth application, and its features designed to improve self-care.

Communication of Nutrition Information by Influencers on Social Media: A Scoping Review

ISSUE ADDRESSED

Although government promoted public health, social media and media campaigns have communicated nutrition information, the Australian population remain chronic under-consumers of fruit and vegetables and over-consumers of ultra-processed foods. This scoping review aimed to determine how social media influencers (SMI) communicate nutrition information and the factors that influence the popularity of messages. Identified factors could inform how governments may utilise social media to impact positively on food choices.

METHODS

Nine databases were searched in the past 5 years (2016-2021). After relevant sources were identified, entire texts of the grey literature and the 'Results' sections of the academic literature were coded. Using Microsoft Word, each key feature of the relevant text was highlighted, and the relevant code was recorded. Inductive coding was utilised where codes were created based on the text itself. These codes were then sorted iteratively into relevant themes and subthemes.

RESULTS

Eleven studies were included. From these sources, five themes were identified. These were, 1) Promoting Dietary Change, 2) Certain Modes/Styles of Content Delivery, 3) An Attractive Individual, 4) Language Features and 5) Appearing Connected to the Audience.

CONCLUSION

SMI are selective in their content and communication techniques to ensure their nutrition messages are popular with social media users. These methods exhibited by SMI could inform strategies to build trust in government messages about food and nutrition. SO WHAT?: SMI are able to nurture trust and exert influence on followers. It may be possible to leverage existing SMI to deliver specific nutrition messages to their audiences.

Association between Grit Scales and adherence to regular hospital visits among Japanese patients with type 2 diabetes: Prospective observational study

This study examined the association between Grit Scales and adherence to a schedule of regular hospital visits among Japanese type 2 diabetes patients. Patients with type 2 diabetes who visited the outpatient clinic as new patients comprised the study's participants. Self-administered Short Grit Scale data were obtained from 122 patients at the first consultation and were then observed for 1 year. As the results, 21 participants failed to attend the hospital. In a logistic regression analysis, the Grit Scale as a continuous variable was positively associated with adherence to regular clinical visits. Its odds ratio and 95% confidential interval was 9.68 and 2.87-32.65 (P = 0.0003). In conclusion, it is likely that the Grit Scale is closely associated with adherence to regular hospital visits among Japanese type 2 diabetes patients.

The nudge strategies for weight loss in adults with obesity and overweight: A systematic review and meta-analysis

Obesity and overweight conditions have become major health challenges worldwide. The exploration of effective weight loss strategies is essential. Nudges are currently advancing approaches that represent a new and better method for changing the behaviors of people. However, the effectiveness of nudge interventions on weight loss in overweight people who may be obese has not been synthesized in a systematic manner. In this study, a systematic literature search was performed. Only randomized controlled trials (RCTs) were considered. Weighted mean differences (WMDs) and 95% confidence intervals (CIs) were calculated as summary statistics. In total, 25 RCTs involving a population of 5,929 individuals were included. Significant effects of the nudge strategy on weight loss (WMD: -0.96 kg, 95% CI: -1.49 to -0.43), body mass index (WMD: -0.3 kg/m², 95% CI: -0.41 to -0.19) and waist circumference (WMD: -0.75 cm, 95% CI: -1.23 to -0.27) were observed. The subgroup analysis showed that the reduction in body weight associated with nudge interventions was significant in younger and more obese people. Moreover, the effect of nudge intervention on weight loss weakened over time. Overall, the nudge strategy can promote changes in weight loss, body mass index and waist circumference of adults, albeit at a mild magnitude and in particular types of individuals. Nudge strategies can be recommended to clinical practitioners and policy-makers to promote obesity management.

Perceptions of Mobile Health Apps and Features to Support Psychosocial Well-being Among Frontline Health Care Workers Involved in the COVID-19 Pandemic Response: Qualitative Study

BACKGROUND

Frontline health care workers are experiencing a myriad of physical and psychosocial challenges amid the COVID-19 pandemic. There is growing recognition that digital technologies have the potential to improve the well-being of frontline workers. However, there has been limited development of wellness interventions using mobile health (mHealth) technology. More importantly, little research has been conducted on how frontline workers perceive mHealth-based support to promote their well-being.

OBJECTIVE

This study aimed to explore frontline workers' experience of conventional psychological wellness programs and their perceptions of the usefulness of mHealth apps and features for promoting well-being. It also sought to identify factors that could potentially influence uptake and retention of an mHealth-based wellness program.

METHODS

We conducted semistructured interviews using purposive sampling with frontline workers involved in the COVID-19 response. Various visual materials, collated from existing mHealth app features, were presented to facilitate discussion. Interviews were audio-recorded and transcribed verbatim. Thematic analysis based on grounded theory was undertaken. Themes were subsequently mapped to key nudge strategies-those commonly used for mHealth development-to assess participants' preferences for particular features and their reasoning.

RESULTS

A total of 42 frontline workers participated in 12 one-on-one interviews or focus group discussions. Frontline workers generally had a limited ability to identify their own psychological problems and liked the reminders functionality of the app to track their mood over time. A personalized goal-setting feature (ie, tailoring) and in-app resources were generally valued, while frequent coaching and messages (ie, framing) were seen as a distraction. The majority of participants desired a built-in chat function with a counselor (ie, guidance) for reasons of accessibility and protection of privacy. Very few participants appreciated a gamification function. Frontline workers commonly reported the need for ongoing social support and desired access to an in-app peer support community (ie, social influence). There were, however, concerns regarding potential risks from virtual peer interactions. Intrinsic motivational factors, mHealth app technicality, and tangible rewards were identified as critical for uptake and retention.

CONCLUSIONS

Our study highlights the potential of mHealth apps with relevant features to be used as wellness tools by frontline health care workers. Future work should focus on developing a nonintrusive and personalized mHealth app with in-app counseling, peer support to improve well-being, and tangible and extrinsic rewards to foster continued use.

Pharmacoadherence: An Opportunity for Digital Health to Inform the Third Dimension of Pharmacotherapy for Diabetes

The basis of pharmacotherapy requires knowledge of two properties of a drug: pharmacokinetics (PK) and pharmacodynamics (PD). In the era of precision medicine, there is growing interest in determining between-individual variations in PK and PD. While these two dimensions of pharmacotherapy are key foci of investigation, a third property is also emerging as a critical factor in understanding how a drug affects an individual. This third property of a drug is known as phamacoadherence (PA). There can be wide variation in PA among people with diabetes, whether they are using oral or injectable medications. The use of new digital health interventions and telehealth communication tools, such as smart insulin pens, is now creating opportunities for health care professionals to have a more complete understanding of the PA of drugs, which allows for more personalized prescribing practices.