Effect of Behaviorally Designed Gamification With Social Incentives on Lifestyle Modification Among Adults With Uncontrolled Diabetes: A Randomized Clinical Trial

Social validity of digital social incentives in the treatment of substance use disorders

Substance use disorders (SUDs) affect millions and have substantial negative consequences for individuals and society. Social incentives that leverage social networks for reinforcement or feedback have been used to improve health behaviors such as physical activity. This study investigated the feasibility, acceptability, and usability of a novel digital social incentive system embedded into a web- and smartphone-based platform for SUD recovery. The system leveraged a preexisting care team to deliver social incentives following notifications on recovery-related goal completion and abstinence to members undergoing SUD treatment. In total, 243 notifications were sent to care-team members, resulting in 117 social incentives, nearly all of which (99.15%) were coded as positive. Treatment members and care-team members provided favorable endorsements on acceptability and usability measures. Some areas of improvement were identified, such as increasing personalization and transparency. This digital social incentive system was feasible, acceptable, and usable as an adjunct treatment component for SUD recovery.

Effectiveness of wearable technology-based physical activity interventions for adults with type 2 diabetes mellitus: A systematic review and meta-regression

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder with the increasing prevalence of a modern sedentary lifestyle. Wearable technology-based physical activity interventions (WT-BPAI) might provide a channel to improve diabetic self-management. The study aimed to (1) evaluate the effectiveness of WT-BPAI on PA levels, glycemic levels, and other outcomes (blood pressure [BP], body mass index [BMI], and serum lipid profile) in adults with T2DM, and (2) investigate the potential covariates affecting aforementioned outcomes. Eight databases were searched thoroughly using three steps from inception until January 16, 2024. The quality of the studies and overall evidence were evaluated. The package meta of the R software program version 4.3.1. was utilized for meta-analyses, subgroup analyses, and meta-regression analyses. A total of 19 randomized controlled trials (RCTs) were found. Meta-analyses revealed that WT-BPAI significantly increased 1583 steps per day and decreased systolic BP (SBP) by 2.46 mmHg. Subgroup and meta-regression analyses found that function, duration of intervention, and age were significant covariates. According to the risk of bias version 2, more than half of the trials raised some concerns about the randomization process, deviations from the intended intervention, and missing outcome data. The certainty of the evidence was very low for all outcomes based on the Grading of Recommendations Assessment, Development and Evaluation (GRADE) criteria. WT-BPAI can be considered a supplementary intervention to increase the steps per day and decrease SBP, especially when used for short periods in young adults with T2DM. However, we need more well-designed research with long-term outcomes.

Interventions and behaviour change techniques for improving physical activity level in working-age people (18-60 years) with type 2 diabetes: A systematic review and network meta-analysis

BACKGROUND

The escalating prevalence of type 2 diabetes within the working-age population (18-60 years) imposes a substantial societal burden. Whilst physical activity is crucial for diabetes management, limited evidence exists to inform optimal strategies for promoting physical activity in this population. We aimed to evaluate and compare the effect of interventions for increasing physical activity in working-age adults with type 2 diabetes.

METHODS

We searched Web of Science, the Cochrane Library, Medline, Embase, PsycINFO, ClinicalTrials.gov, and ICTRP from inception to April 30, 2023. Randomised controlled trials that reported the effect of interventions (education, training or behavioural) to promote physical activity (either self-reported or objective) in people aged 18-60 years were included. Two independent reviewers conducted summary data extraction and quality assessment. Pairwise random-effects, Frequentist network meta-analyses, and subgroup analysis were used to obtain pooled effects.

RESULTS

A total of 52 trials were included in this systematic review. Compared to control group, the physical activity interventions demonstrated statistically significant effects on objectively measured physical activity (SMD 0.77, 95 % CI 0.27-1.27), self-reported physical activity (SMD 0.88, 95 % CI 0.40-1.35), and overall physical activity (SMD 0.82, 95 % CI 0.48-1.16); a statistically and clinically meaningful reduction on glycated haemoglobin A1c (HbA1c) was also identified (MD -0.50 %, 95 % CI -0.66, -0.35). In terms of intervention types, education interventions exerted the largest effect on objectively measured physical activity; however, psychological interventions had the largest effects on overall physical activity compared to other intervention types. Four behaviour change techniques were related to statistically significant reduction in HbA1c: goal setting (outcome), information about health consequences, demonstration of the behaviour, and prompts/cues. Subgroup analysis showed that delivery mode, intervention setting, and facilitator were associated with statistically significant effect on physical activity and HbA1c.

CONCLUSIONS

Psychologically modelled education incorporating behaviour change techniques may be the most beneficial way to promote physical activity and glycaemic control in working-age adults with type 2 diabetes. Delivery mode, intervention setting, and facilitator type should be considered when designing interventions for improving physical activity level in working-age people with type 2 diabetes.

The Impact of a Gamified Intervention on Daily Steps in Real-Life Conditions: Retrospective Analysis of 4800 Individuals

BACKGROUND

Digital interventions integrating gamification features hold promise to promote daily steps. However, results regarding the effectiveness of this type of intervention are heterogeneous and not yet confirmed in real-life contexts.

OBJECTIVE

This study aims to examine the effectiveness of a gamified intervention and its potential moderators in a large sample using real-world data. Specifically, we tested (1) whether a gamified intervention enhanced daily steps during the intervention and follow-up periods compared to baseline, (2) whether this enhancement was higher in participants in the intervention than in nonparticipants, and (3) what participant characteristics or intervention parameters moderated the effect of the program.

METHODS

Data from 4819 individuals who registered for a mobile health Kiplin program between 2019 and 2022 were retrospectively analyzed. In this intervention, participants could take part in one or several games in which their daily step count was tracked, allowing individuals to play with their overall activity. Nonparticipants were people who registered for the program but did not take part in the intervention and were considered as a control group. Daily step counts were measured via accelerometers embedded in either commercial wearables or smartphones of the participants. Exposure to the intervention, the intervention content, and participants' characteristics were included in multilevel models to test the study objectives.

RESULTS

Participants in the intervention group demonstrated a significantly greater increase in mean daily steps from baseline than nonparticipants (P<.001). However, intervention effectiveness depended on participants' initial physical activity. The daily steps of participants with <7500 baseline daily steps significantly improved from baseline both during the Kiplin intervention (+3291 daily steps) and the follow-up period (+945 daily steps), whereas participants with a higher baseline had no improvement or significant decreases in daily steps after the intervention. Age (P<.001) and exposure (P<.001) positively moderated the intervention effect.

CONCLUSIONS

In real-world settings and among a large sample, the Kiplin intervention was significantly effective in increasing the daily steps of participants from baseline during intervention and follow-up periods compared to nonparticipants. Interestingly, responses to the intervention differed based on participants' initial steps, with the existence of a plateau effect. Drawing on the insights of self-determination theory, we can assume that the effect of gamification could depend of the initial motivation and activity of participants.

N-of-1 health optimization: Digital monitoring of biomarker dynamics to gamify adherence to metabolic switching

The digital health field is experiencing substantial growth due to its potential for sustained and longitudinal deployment. In turn, this may drive improved monitoring and intervention as catalysts for behavioral change compared to traditional point-of-care practices. In particular, the increase in incidence of population health challenges such as diabetes, heart disease, fatty liver disease, and other disorders coupled with rising healthcare costs have emphasized the importance of exploring technical, economics, and implementation considerations, among others in the decentralization of health and healthcare innovations. Both healthy individuals and patients stand to benefit from continued technical advances and studies in these domains. To address these points, this study reports a N-of-1 study comprised of sustained regimens of intermittent fasting, fitness (strength and cardiovascular training), and high protein, low carbohydrate diet and parallel monitoring. These regimens were paired with serial blood ketone, blood glucose (wearable and finger stick) and blood pressure readings, as well as body weight measurements using a collection of devices. Collectively this suite of platforms and approaches were used to monitor metabolic switching from glucose to ketones as energy sources-a process associated with potential cardio- and neuroprotective functions. In addition to longitudinal biomarker dynamics, this work discusses user perspectives on the potential role of harnessing digital devices to these dynamics as potential gamification factors, as well as considerations for the role of biomarker monitoring in health regimen development, user stratification, and potentially informing downstream population-scale studies to address metabolic disease, healthy aging and longevity, among other indications.

Spatial Modeling of Sociodemographic Risk for COVID-19 Mortality

In early 2020, the Coronavirus Disease 19 (COVID-19) rapidly spread across the United States (US), exhibiting significant geographic variability. While several studies have examined the predictive relationships of differing factors on COVID-19 deaths, few have looked at spatiotemporal variation at refined geographic scales. The objective of this analysis is to examine this spatiotemporal variation in COVID-19 deaths with respect to association with socioeconomic, health, demographic, and political factors. We use multivariate regression applied to Health and Human Services (HHS) regions as well as nationwide county-level geographically weighted random forest (GWRF) models. Analyses were performed on data from three separate time frames which correspond to the spread of distinct viral variants in the US: pandemic onset until May 2021, May 2021 through November 2021, and December 2021 until April 2022. Multivariate regression results for all regions across three time windows suggest that existing measures of social vulnerability for disaster preparedness (SVI) are predictive of a higher degree of mortality from COVID-19. In comparison, GWRF models provide a more robust evaluation of feature importance and prediction, exposing the value of local features for prediction, such as obesity, which is obscured by coarse-grained analysis. Overall, GWRF results indicate that this more nuanced modeling strategy is useful for determining the spatial variation in the importance of sociodemographic risk factors for predicting COVID-19 mortality.

Electronic Interactive Games for Glycemic Control in Individuals With Diabetes: Systematic Review and Meta-Analysis

BACKGROUND

Several electronic interventions have been used to improve glycemic control in patients with diabetes. Electronic interactive games specific to physical activity are available, but it is unclear if these are effective at improving glycemic control in patients with diabetes.

OBJECTIVE

This study aimed to determine the effects of electronic game-based interventions on glycemic control in patients with diabetes.

METHODS

Relevant studies that were published before April 1, 2023, were searched from 5 databases: PubMed, Embase, Web of Science, Scopus, and Cochrane Library. Eligibility criteria included prospective studies examining the relationship between electronic games with physical activities or diet education and glycemic control as the outcome. The risk of bias was assessed using the Cochrane risk-of-bias tool. All analyses were conducted using RevMan5.4.1. Depending on the heterogeneity across studies, the pooled effects were calculated using fixed-effects or random-effects models.

RESULTS

Participants from 9 studies were included and assessed. Glycated hemoglobin (HbA1c) and fasting blood glucose improved in the intervention group, although the analysis revealed no significant reduction in HbA1c (-0.09%, 95% CI -0.29% to 0.10%) or fasting blood glucose (-0.94 mg/dL, 95% CI -9.34 to 7.46 mg/dL). However, the physical activity of individuals in the intervention group was significantly higher than that of those in the control group (standardized mean difference=0.84, 95% CI 0.30 to 1.38; P=.002). Other outcomes, such as weight and blood lipids, exhibited no significant improvement (all P>.05).

CONCLUSIONS

Electronic games had a good impact on participants' physical activity and offered an advantage in glycemic control without reaching statistical significance. Electronic games are convenient for reminders and education. Low-intensity exercise games may not be considered a better adjuvant intervention to improve diabetes self-management care.

Feedbacks Using behaviOral econOmic theories on STEP countS in Cardiovascular Disease Patients (FOOTSTEPS) Using Novel Daily Step Counts Retrieving System

The effectiveness of gamification-based feedback systems that utilize non-monetary points to promote exercise among cardiovascular disease (CVD) patients has not been fully evaluated. This study aimed to evaluate the effectiveness of a gamification program using non-monetary points on the daily step counts in CVD patients. We collected 30 patients with a history of heart failure or myocardial infarction at a single tertiary center between January 9, 2023, and April 13, 2023. The primary outcome was the change in daily step counts. The baseline step counts were compared with those during the 4-week gamification and the 1-week follow-up period. A total of 29 participants with a mean age of 64.6 years were finally enrolled, and 8 (27.6%) were female. Among them, 23 (79.3%) had a history of old myocardial infarction, and 9 (31.0%) had a history of chronic heart failure. During the intervention period, the average daily step counts increased significantly from baseline in weeks 1-5 (week 1: 1165 steps; 95% CI, 319-2011; P = 0.009, week 2: 1508; 635-2382; P = 0.001, week 3: 1321; 646-1996; P < 0.001, week 4: 1436; 791-2081; P < 0.001, week 5:1148; 436-1860; P < 0.001). Higher body mass index was statistically associated with the smaller difference in step counts from the baseline, and the lower proportion of achievement of step count goals. Female sex was significantly associated with the higher proportion of achievement of step count goals. In conclusion, this pilot prospective interventional study demonstrated the effectiveness of gamification-based feedback systems that utilize non-monetary points to increase daily step counts in CVD patients.

The Use of Gamification in the Self-Management of Patients With Chronic Diseases: Scoping Review

BACKGROUND

Chronic disease self-management is a public health issue of worldwide concern, and gamification is an emerging strategy to improve patients' participation in chronic disease self-management. Some studies have summarized designs for the gamification of chronic disease self-management from the perspective of eHealth technology, but they have not mentioned differences in design methods, functions, and evaluation methods of gamified designs for self-management in different chronic diseases.

OBJECTIVE

This scoping review aims to synthesize the characteristics of realization forms, functions, and evaluation methods in chronic disease self-management gamification to improve self-management among the chronic disease population.

METHODS

We applied a methodological framework for scoping reviews and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist. As of January 7, 2023, we systematically searched 9 databases for relevant studies from January 2012 to December 2022. Related data were extracted based on the research questions. We calculated the frequencies, charted the quantitative data, and coded the extracted material for qualitative content analysis.

RESULTS

We retrieved 16,221 records, of which 70 (0.43%) met the eligibility criteria. In the included research, the target populations for gamified designs for self-management of chronic diseases included patients with stroke, cancer, diabetes, chronic obstructive pulmonary disease, coronary heart disease, obesity, and hypertension. Almost all studies mentioned technical support for gamification (68/70, 97%), mainly in the form of active video games (58/70, 83%); however, less than half of the studies mentioned the theoretical basis for gamification (31/70, 44%). There were 37 concepts or theories relevant to gamification design, most of which were in the field of psychology or were cross-disciplinary (n=33, 89%). Gamification for the self-management of chronic diseases has been widely recognized, including for promoting physical exercise and rehabilitation training (48/99, 48%), increasing initiative for symptom management (18/99, 18%), providing psychological support (14/99, 14%), improving cognitive function (12/99, 12%), and improving medication adherence (7/99, 7%). A total of 39 studies mentioned the gamification effect; however, we did not find a unified evaluation standard.

CONCLUSIONS

This scoping review focuses on gamification designs for chronic disease self-management and summarizes the realization forms and functions of gamification in self-management for different patient populations. With practice in a gamified internet-based environment, patients can not only master the knowledge and skills of self-management in fascinating scenarios but also benefit from gaming experience and make better health-related decisions in real life. It is worth noting that a comprehensive evaluation of the users as well as a personalized and targeted intervention should be developed before gamification.

Impact of Gaming (Gamification) on Diabetes Self-Care Behaviors and Glycemic Outcomes Among Adults With Type 2 Diabetes

PURPOSE

The purpose of this systematic review was to determine if the use of gaming (gamification) among persons with type 2 diabetes improves diabetes self-management behaviors and diabetes outcomes.

METHODS

A systematic review was conducted using electronic databases including MEDLINE, Embase, Web of Science, and CINAHL. Studies reporting on the impact of gaming on at least 1 of the Association of Diabetes Care and Education Specialists self-care behaviors (ADCES7) were included.

RESULTS

The review included 9 studies, 8 of which were of strong/high quality. Five of the self-care behaviors were addressed in at least 1 of the included studies. However, taking medications and problem solving were not reported in any of the studies. Physical activity and self-efficacy or quality of life (healthy coping) were the most frequently reported ADCES7 behaviors. Six of the studies used A1C as an outcome measure, with a reduction reported in all the studies except 1.

CONCLUSION

Type 2 diabetes affects a person holistically, necessitating a range of self-care behaviors to effectively manage the chronic condition. Novel gaming interventions may improve coping mechanisms, lifestyle behaviors, medication engagement, and monitoring of risks and problems, all of which are essential in facilitating optimal diabetes self-management.

Harnessing technology and gamification to increase adult physical activity: a cluster randomized controlled trial of the Columbia Moves pilot

BACKGROUND

The use of health technologies and gamification to promote physical activity has increasingly been examined, representing an opportunistic method for harnessing social support inherent within existing social ties. However, these prior studies have yielded mixed findings and lacked long-term follow-up periods. Thus, a pilot cluster randomized controlled trial was conducted to gauge the feasibility and preliminary efficacy of a digital gamification-based physical activity promotion approach among teams of insufficiently active adults with existing social ties.

METHODS

Teams (N = 24; 116 total participants) were randomized to either a 12-week intervention (Fitbit, step goals, app, feedback; TECH) or the same program plus gamification (TECH + Gamification). Mixed effects models were used to compare group differences in treatment adherence, and changes in social support, steps, and moderate-to-vigorous physical activity at 12 weeks and 52 weeks from baseline, adjusted for sociodemographic characteristics and team size.

RESULTS

TECH had a lower mean number of days of Fitbit self-monitoring versus TECH + Gamification during the intervention (adjusted difference: -.30; 95% CI, -.54 to -.07; P = .01). Post-intervention, TECH had 47% lower odds of self-monitoring 7 days per week versus TECH + Gamification (.53; 95% CI, .31 to .89; P = .02). No differences were observed between TECH + Gamification and TECH in increases in social support (0.04; 95% CI, -.21 to .29; P = .76), ActiGraph-measured daily steps (-425; 95% CI, -1065 to 215; P = .19), or moderate-to-vigorous physical activity minutes (-3.36; 95% CI, -8.62 to 1.91; P = .21) from baseline to 12 weeks or in the regression of these improvements by 1 year (Ps > .05). Although not significant in the adjusted models (Ps > .05), clinically meaningful differences in Fitbit-measured daily steps (TECH, 7041 ± 2520; TECH + Gamification, 7988 ± 2707) and active minutes (TECH, 29.90 ± 29.76; TECH + Gamification, 36.38 ± 29.83) were found during the intervention.

CONCLUSIONS

A gamified physical activity intervention targeting teams of adults with existing social ties was feasible and facilitated favorable, clinically meaningful additive physical activity effects while in place but did not drive enhanced, long-term physical activity participation. Future investigations should explore optimal team dynamics and more direct ways of leveraging social support (training teams; gamifying social support).

TRIAL REGISTRATION

Clinicaltrials.gov ( NCT03509129 , April 26, 2018).

Mobile health for cardiovascular risk management after cardiac surgery: results of a sub-analysis of The Box 2.0 study

Aims

Lowering low-density lipoprotein (LDL-C) and blood pressure (BP) levels to guideline recommended values reduces the risk of major adverse cardiac events in patients who underwent coronary artery bypass grafting (CABG). To improve cardiovascular risk management, this study evaluated the effects of mobile health (mHealth) on BP and cholesterol levels in patients after standalone CABG.

Methods and results

This study is a post hoc analysis of an observational cohort study among 228 adult patients who underwent standalone CABG surgery at a tertiary care hospital in The Netherlands. A total of 117 patients received standard care, and 111 patients underwent an mHealth intervention. This consisted of frequent BP and weight monitoring with regimen adjustment in case of high BP. Primary outcome was difference in systolic BP and LDL-C between baseline and value after three months of follow-up. Mean age in the intervention group was 62.7 years, 98 (88.3%) patients were male. A total of 26 449 mHealth measurements were recorded. At three months, systolic BP decreased by 7.0 mmHg [standard deviation (SD): 15.1] in the intervention group vs. -0.3 mmHg (SD: 17.6; P < 0.00001) in controls; body weight decreased by 1.76 kg (SD: 3.23) in the intervention group vs. -0.31 kg (SD: 2.55; P = 0.002) in controls. Serum LDL-C was significantly lower in the intervention group vs. controls (median: 1.8 vs. 2.0 mmol/L; P = 0.0002).

Conclusion

This study showed an association between home monitoring after CABG and a reduction in systolic BP, body weight, and serum LDL-C. The causality of the association between the observed weight loss and decreased LDL-C in intervention group patients remains to be investigated.

Effectiveness of game-based exercise interventions on modifiable cardiovascular risk factors of individuals with type two diabetes mellitus: A systematic review and meta-analysis

BACKGROUND

Sedentary lifestyles have been identified as a major risk factor for cardiovascular complications for individuals with type 2 diabetes mellitus (T2DM). Using video-gaming components, game-based exercise interventions can encourage these individuals to engage in regular physical activity (PA), given their favorable interactive interfaces, feedback, and on-demand flow experiences.

AIM

To evaluate the effectiveness of game-based exercise interventions, on modifiable cardiovascular risk factors, quality of life, and PA levels among individuals with T2DM.

METHODS

Published and unpublished studies were retrieved from eight electronic databases and reference lists of the included studies. Articles included in this study were from the inception of the databases to January 2022. Two reviewers performed screening, quality appraisal, and data extraction independently. Meta-analyses were conducted for the primary and secondary outcomes through RevMan. The protocol was registered on PROSPERO (CRD42022298894).

RESULTS

Of the 11 selected studies involving 1045 individuals of both genders with T2DM, 9 were included in the meta-analyses for glycosylated hemoglobin, blood pressure (BP), low-density lipoprotein cholesterol, quality of life, and physical activity levels. The meta-analyses reported very small to large effect sizes favoring game-based exercise interventions. Large effect sizes were reported for systolic BP, diastolic BP, and quality of life measured through SF-12 Mental Component Summary scores.

LINKING EVIDENCE TO ACTION

Game-based exercise interventions may improve modifiable cardiovascular risk factors, quality of life, and PA levels among individuals with T2DM. Supervision, PA levels, or motivation can affect the effectiveness of game-based exercise interventions.

Wearable Devices in Cardiovascular Medicine

Wearable devices, such as smartwatches and activity trackers, are commonly used by patients in their everyday lives to manage their health and well-being. These devices collect and analyze long-term continuous data on measures of behavioral or physiologic function, which may provide clinicians with a more comprehensive view of a patients' health compared with the traditional sporadic measures captured by office visits and hospitalizations. Wearable devices have a wide range of potential clinical applications ranging from arrhythmia screening of high-risk individuals to remote management of chronic conditions such as heart failure or peripheral artery disease. As the use of wearable devices continues to grow, we must adopt a multifaceted approach with collaboration among all key stakeholders to effectively and safely integrate these technologies into routine clinical practice. In this Review, we summarize the features of wearable devices and associated machine learning techniques. We describe key research studies that illustrate the role of wearable devices in the screening and management of cardiovascular conditions and identify directions for future research. Last, we highlight the challenges that are currently hindering the widespread use of wearable devices in cardiovascular medicine and provide short- and long-term solutions to promote increased use of wearable devices in clinical care.

Interventions to Modify Psychological Well-Being: Progress, Promises, and an Agenda for Future Research

Psychological well-being, characterized by feelings, cognitions, and strategies that are associated with positive functioning (including hedonic and eudaimonic well-being), has been linked with better physical health and greater longevity. Importantly, psychological well-being can be strengthened with interventions, providing a strategy for improving population health. But are the effects of well-being interventions meaningful, durable, and scalable enough to improve health at a population-level? To assess this possibility, a cross-disciplinary group of scholars convened to review current knowledge and develop a research agenda. Here we summarize and build on the key insights from this convening, which were: (1) existing interventions should continue to be adapted to achieve a large-enough effect to result in downstream improvements in psychological functioning and health, (2) research should determine the durability of interventions needed to drive population-level and lasting changes, (3) a shift from individual-level care and treatment to a public-health model of population-level prevention is needed and will require new infrastructure that can deliver interventions at scale, (4) interventions should be accessible and effective in racially, ethnically, and geographically diverse samples. A discussion examining the key future research questions follows.

The Effectiveness of Wearable Devices in Non-Communicable Diseases to Manage Physical Activity and Nutrition: Where We Are?

Wearable devices are increasingly popular in clinical and non-clinical populations as a tool for exercise prescription, monitoring of daily physical activity and nutrition, and health-related parameters management. In this regard, smart devices not only assist people in pursuing a healthier lifestyle, but also provide a constant stream of physiological and metabolic data for management of non-communicable diseases (NCDs). Although the benefits of lifestyle-based interventions (exercise and nutrition) for NCDs are well known, the potential of wearable devices to promote healthy behaviors in clinical populations is still controversial. In this narrative review, we aimed to discuss the current application of wearable devices in NCDs, highlighting their role in prescribing and monitoring daily physical activity and dietary habits in the population living with chronic diseases. None of the studies considered specifically addressed the efficacy of the use of wearable devices, and limited are those that incorporate monitoring of both physical activity and nutrition for NCDs. However, there is evidence that such devices have helped improve physical activity levels, physical fitness, body composition, and metabolic and psychological parameters. Therefore, the authors believe that the benefits obtained from the use of wearable devices are likely to translate to public health and represent one of the important tools for the development of prevention plans in everyday life and clinical practice for optimal patient management.

Assessing Daily Life Physical Activity by Actigraphy in Pulmonary Arterial Hypertension: Insights From the Randomized Controlled Study With Selexipag (TRACE)

BACKGROUND

Reduced daily life physical activity (DLPA) in pulmonary arterial hypertension (PAH) contributes to a poor quality of life.

RESEARCH QUESTION

Can actigraphy be used to assess changes in DLPA in patients with PAH receiving selexipag or placebo?

STUDY DESIGN AND METHODS

Effect of Selexipag on Daily Life Physical Activity of Patients With Pulmonary Arterial Hypertension (TRACE) was a prospective, multicenter, randomized, placebo-controlled, double-blind, exploratory phase 4 study enrolling patients with PAH in World Health Organization functional class II/III, receiving stable endothelin receptor antagonist with/without phosphodiesterase type 5 inhibitor background therapy. Primary end points were change from baseline to Week 24 in actigraphy-assessed DLPA (recorded by using an accelerometer), including daily time spent in nonsedentary physical activity (NSPA), daily time spent in moderate to vigorous physical activity (MVPA), daily volume of activity, and daily number of steps.

RESULTS

At baseline, patients (N = 108) were prevalent, on stable background PAH therapy, and at low risk of disease progression. Patients showed high compliance with wear of the accelerometer throughout the study. From baseline to Week 24, mean daily time spent in NSPA increased by 1.1 min and decreased by 16.7 min in the selexipag and placebo groups (treatment difference [95% CI], 17.8 [-6.0, 41.6] min); mean time spent in MVPA increased by 0.3 min and was reduced by 2.0 min in the selexipag and placebo groups (treatment difference [95% CI], 2.3 [-10.8, 15.4] min); and mean number of daily steps decreased by 0.3 and 201.9 in the selexipag and placebo groups (treatment difference [95% CI], 201.6 [-243.0, 646.2]).

INTERPRETATION

TRACE enrolled a prevalent population on background therapy and at low risk of disease progression. Changes in DLPA were small and highly variable, with no statistically significant differences between treatment groups. This patient-centric study was the first randomized trial in PAH to capture high-quality actigraphy data and to describe DLPA in terms of mean/median and variability, which may inform the design of future studies.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov; No.: NCT03078907; URL: www.

CLINICALTRIALS

gov.

How patients with diabetes experience physical activity promotion during nursing consultations in the Spanish context

OBJECTIVE

Although physical activity (PA) is a key behaviour for controlling Type 2 Diabetes, problematic adoption and/or adherence continues to impair disease management. This study aims to understand how patients with T2D live and experience nurses PA promotion during consultations in Spanish context.

METHOD

The present study is a qualitative research. In 2019-2020, pre-COVID-19, Twenty-two people living with T2D from Barcelona province contributed either to focus groups (n = 5) or to semi-structured interviews (n = 4). All interviews were recorded, transcribed, and analysed using conventional content analysis approach through constant comparative method.

RESULTS

Data analysis revealed two major themes with sixteen subthemes. The two major themes include: "Intra-personal conscious PA adoption processes" and "Structural unconscious PA (non)adherence processes".

CONCLUSION

Patients' experiences reflect two concurrent and interconnected issues. First, most patients readily adopted new PA after encouragement from nurses, who were the main proponents of PA. Indeed, adoption seemed to be most nurses' PA priority and it was effective for most patients. Second, few nurses discussed adherence, making it an almost universal problem and source of disappointment. For adherence, patients experience that nurses' attention needs to focus on activating processes and skills that support continued involvement in already-adopted PA.

Game-based health education to improve ART adherence of newly diagnosed young people with HIV: protocol for a stepped-wedge design randomized controlled trial

BACKGROUND

Antiretroviral therapy (ART) is one of the most effective ways for HIV-infected to treat AIDS. However, it is difficult to start ART among young people those newly diagnosed HIV-infection in China, and their adherence to ART is poor. We have designed an AIDS educational game called AIDS Fighter · Health Defense, which could improve the AIDS-related knowledge and has the potential to improve AIDS prevention ability of young students. In this study, AIDS Fighter · Health Defense will be used with newly diagnosed young people with HIV to evaluate the education effect of the game in improving ART adherence.

DESIGN

A stepped-wedge design randomized controlled trial will be conducted to confirm the education effect of AIDS Fighter · Health Defense on improving ART adherence of newly diagnosed young people with HIV, and to verify when to start game-based health education could be more effective for newly diagnosed young people with HIV.

METHODS

Participants will receive AIDS education from health workers and start ART when diagnosed with HIV and assigned into four groups randomly. The first step group to the fourth step group will receive AIDS Fighter · Health Defense in turn at the star of ART, one week, one month and three months after the start of ART. The primary outcomes are medication adherence, CD4( +) T cell count, and HIV viral load. The secondary outcomes are ART-related knowledge, ART-related skills, psychological resilience, and self-discrimination. Assessments will be completed before the intervention and one week, first month, and third month of the intervention, and then a one-year follow-up evaluation will be conducted after the intervention.

DISCUSSION

AIDS Fighter · Health Defense may be an effective approach to help newly diagnosed young people with HIV to improve ART adherence. A stepped-wedge design randomized controlled trial of this study may find the optimal time of AIDS education to improve ART adherence of newly diagnosed young people with HIV.

REGISTRATION NUMBER

Chinese Clinical Trial Registry: ChiCTR2200059766, registered 11 May 2022. http://www.chictr.org.cn/showproj.aspx?proj=169420.

Exercise in Obesity-the Role of Technology in Health Services: Can This Approach Work?

PURPOSE OF REVIEW

Physical activity (PA) is an important strategy to prevent and treat obesity. Electronic health (eHealth) interventions, such as wearable activity monitors and smartphone apps, may promote adherence to regular PA and successful weight loss. This review highlights the evidence for eHealth interventions in promoting PA and reducing weight.

RECENT FINDINGS

Wearables can increase PA and are associated with moderate weight loss in middle/older-aged individuals, with less convincing effects long-term (> 1 year) and in younger people. Data for interventions such as mobile phone applications, SMS, and exergaming are less robust. Investigations of all eHealth interventions are often limited by complex, multi-modality study designs, involving concomitant dietary modification, making the independent contribution of each eHealth intervention on body weight challenging to assess. eHealth interventions may promote PA, thereby contributing to weight loss/weight maintenance; however, further evaluation is required for this approach to be adopted into routine clinical practice.

Digital Phenotyping in Health Using Machine Learning Approaches: Scoping Review

BACKGROUND

Digital phenotyping is the real-time collection of individual-level active and passive data from users in naturalistic and free-living settings via personal digital devices, such as mobile phones and wearable devices. Given the novelty of research in this field, there is heterogeneity in the clinical use cases, types of data collected, modes of data collection, data analysis methods, and outcomes measured.

OBJECTIVE

The primary aim of this scoping review was to map the published research on digital phenotyping and to outline study characteristics, data collection and analysis methods, machine learning approaches, and future implications.

METHODS

We utilized an a priori approach for the literature search and data extraction and charting process, guided by the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Reviews). We identified relevant studies published in 2020, 2021, and 2022 on PubMed and Google Scholar using search terms related to digital phenotyping. The titles, abstracts, and keywords were screened during the first stage of the screening process, and the second stage involved screening the full texts of the shortlisted articles. We extracted and charted the descriptive characteristics of the final studies, which were countries of origin, study design, clinical areas, active and/or passive data collected, modes of data collection, data analysis approaches, and limitations.

RESULTS

A total of 454 articles on PubMed and Google Scholar were identified through search terms associated with digital phenotyping, and 46 articles were deemed eligible for inclusion in this scoping review. Most studies evaluated wearable data and originated from North America. The most dominant study design was observational, followed by randomized trials, and most studies focused on psychiatric disorders, mental health disorders, and neurological diseases. A total of 7 studies used machine learning approaches for data analysis, with random forest, logistic regression, and support vector machines being the most common.

CONCLUSIONS

Our review provides foundational as well as application-oriented approaches toward digital phenotyping in health. Future work should focus on more prospective, longitudinal studies that include larger data sets from diverse populations, address privacy and ethical concerns around data collection from consumer technologies, and build "digital phenotypes" to personalize digital health interventions and treatment plans.

Effectiveness of a Text-Based Gamification Intervention to Improve Physical Activity Among Postpartum Individuals With Hypertensive Disorders of Pregnancy: A Randomized Clinical Trial

Importance

Hypertensive disorders of pregnancy are associated with increased risk of cardiovascular disease, yet few interventions have targeted this population to decrease long-term risk.

Objective

To determine whether a digital health intervention improves physical activity in postpartum individuals with hypertensive disorders of pregnancy.

Design, Setting, and Participants

This 12-week randomized clinical trial enrolled postpartum individuals who delivered at the University of Pennsylvania and had a hypertensive disorder of pregnancy between October 2019 and June 2020. Analysis was intention to treat.

Interventions

All participants received a wearable activity tracker, established a baseline step count, selected a step goal greater than baseline, and were randomly assigned to control or intervention. Participants in the control arm received daily feedback on goal attainment. Participants in the intervention arm were placed on virtual teams and enrolled in a game with points and levels for daily step goal achievement and informed by principles of behavioral economics.

Main Outcomes and Measures

The primary outcome was change in mean daily step count from baseline to 12-week follow-up. Secondary outcome was proportion of participant-days that step goal was achieved.

Results

A total of 127 participants were randomized (64 in the control group and 63 in the intervention group) and were enrolled a mean of 7.9 weeks post partum. Participants had a mean (SD) age of 32.3 (5.6) years, 70 (55.1%) were Black, and 52 (41.9%) had Medicaid insurance. The mean (SD) baseline step count was similar in the control and intervention arms (6042 [2270] vs 6175 [1920] steps, respectively). After adjustment for baseline steps and calendar month, participants in the intervention arm had a significantly greater increase in mean daily step steps from baseline compared with the control arm (647 steps; 95% CI, 169-1124 steps; P = .009). Compared with the control arm, participants in the intervention arm achieved their steps goals on a greater proportion of participant-days during the intervention period (0.47 vs 0.38; adjusted difference 0.11; 95% CI, 0.04-0.19; P = .003).

Conclusions and Relevance

In this study, a digital health intervention using remote monitoring, gamification, and social incentives among postpartum individuals at elevated cardiovascular risk significantly increased physical activity throughout 12 weeks.

Trial Registration

ClinicalTrials.gov Identifier: NCT03311230.

Digital phenotyping in young breast cancer patients treated with neoadjuvant chemotherapy (the NeoFit Trial): protocol for a national, multicenter single-arm trial

BACKGROUND

Breast cancer (BC) has particular characteristics in young women, with diagnosis at more advanced stages, a poorer prognosis and highly aggressive tumors. In NeoFit, we will use an activity tracker to identify and describe various digital profiles (heart rate, physical activity, and sleep patterns) in women below the age of 45 years on neoadjuvant chemotherapy for BC.

METHODS

NeoFit is a prospective, national, multicenter, single-arm open-label study. It will include 300 women below the age of 45 years treated with neoadjuvant chemotherapy for BC. Participants will be asked to wear a Withing Steel HR activity tracker round the clock for 12 months. The principal assessments will be performed at baseline, at the end of neoadjuvant chemotherapy and at 12 months. We will evaluate clinical parameters, such as toxicity and the efficacy of chemotherapy, together with quality of life, fatigue, and parameters relating to lifestyle and physical activity. The women will complete REDCap form questionnaires via a secure internet link.

DISCUSSION

In this study, the use of an activity tracker will enable us to visualize changes in the lifestyle of young women on neoadjuvant chemotherapy for BC, over the course of a one-year period. This exploratory study will provide crucial insight into the digital phenotypes of young BC patients on neoadjuvant chemotherapy and the relationship between these phenotypes and the toxicity and efficacy of treatment. This trial will pave the way for interventional studies involving sleep and physical activity interventions.

TRIAL REGISTRATION

Clinicaltrials.gov identifier: NCT05011721 . Registration date: 18/08/2021.

The Use of Artificial Intelligence-Based Conversational Agents (Chatbots) for Weight Loss: Scoping Review and Practical Recommendations

Background

Overweight and obesity have now reached a state of a pandemic despite the clinical and commercial programs available. Artificial intelligence (AI) chatbots have a strong potential in optimizing such programs for weight loss.

Objective

This study aimed to review AI chatbot use cases for weight loss and to identify the essential components for prolonging user engagement.

Methods

A scoping review was conducted using the 5-stage framework by Arksey and O’Malley. Articles were searched across nine electronic databases (ACM Digital Library, CINAHL, Cochrane Central, Embase, IEEE Xplore, PsycINFO, PubMed, Scopus, and Web of Science) until July 9, 2021. Gray literature, reference lists, and Google Scholar were also searched.

Results

A total of 23 studies with 2231 participants were included and evaluated in this review. Most studies (8/23, 35%) focused on using AI chatbots to promote both a healthy diet and exercise, 13% (3/23) of the studies used AI chatbots solely for lifestyle data collection and obesity risk assessment whereas only 4% (1/23) of the studies focused on promoting a combination of a healthy diet, exercise, and stress management. In total, 48% (11/23) of the studies used only text-based AI chatbots, 52% (12/23) operationalized AI chatbots through smartphones, and 39% (9/23) integrated data collected through fitness wearables or Internet of Things appliances. The core functions of AI chatbots were to provide personalized recommendations (20/23, 87%), motivational messages (18/23, 78%), gamification (6/23, 26%), and emotional support (6/23, 26%). Study participants who experienced speech- and augmented reality–based chatbot interactions in addition to text-based chatbot interactions reported higher user engagement because of the convenience of hands-free interactions. Enabling conversations through multiple platforms (eg, SMS text messaging, Slack, Telegram, Signal, WhatsApp, or Facebook Messenger) and devices (eg, laptops, Google Home, and Amazon Alexa) was reported to increase user engagement. The human semblance of chatbots through verbal and nonverbal cues improved user engagement through interactivity and empathy. Other techniques used in text-based chatbots included personally and culturally appropriate colloquial tones and content; emojis that emulate human emotional expressions; positively framed words; citations of credible information sources; personification; validation; and the provision of real-time, fast, and reliable recommendations. Prevailing issues included privacy; accountability; user burden; and interoperability with other databases, third-party applications, social media platforms, devices, and appliances.

Conclusions

AI chatbots should be designed to be human-like, personalized, contextualized, immersive, and enjoyable to enhance user experience, engagement, behavior change, and weight loss. These require the integration of health metrics (eg, based on self-reports and wearable trackers), personality and preferences (eg, based on goal achievements), circumstantial behaviors (eg, trigger-based overconsumption), and emotional states (eg, chatbot conversations and wearable stress detectors) to deliver personalized and effective recommendations for weight loss.

User Engagement and Abandonment of mHealth: A Cross-Sectional Survey

Mobile health (mHealth) apps have great potential to improve health outcomes. Given that mHealth apps have become ubiquitous, there is limited focus on their abandonment. Data concerning crucial metrics, including reasons for adoption and discontinued use, are limited. This study aims to gain broad insights into utilization of mHealth and game-like features promoting user engagement. We conducted a cross-sectional survey of 209 mHealth users worldwide. The 17-item survey assessed sociodemographics, as well as the key motivators for mHealth uptake and discontinued use. Our findings show that sports and fitness activity tracking were the most common categories of health apps, with most users engaging with them at least several times a week. Interestingly, the most downloaded mHealth apps among younger adults include MyFitnessPal, Fitbit, Nike Run Club, and Samsung Health. Critical drivers of abandonment of mHealth apps were amotivation, loss of interest, and experimenting with different apps to identify the most suitable tool. Additionally, the financial cost of mHealth apps is crucial, with most participants advocating for free or more affordable apps. The study findings suggest that while many individuals utilize mHealth, several factors drive their abandonment. Moreover, data indicate that mHealth developers need to consider gamification strategies to sustain user commitment, as well as psychological variables, such as intrinsic motivation.

Quality improvement and usability testing of the PortfolioDiet.app, a web-based health application to translate nutrition therapy for cardiovascular risk reduction in primary care (Preprint)

Background

The Portfolio Diet, or Dietary Portfolio, is a therapeutic dietary pattern that combines cholesterol-lowering foods to manage dyslipidemia for the prevention of cardiovascular disease. To translate the Portfolio Diet for primary care, we developed the PortfolioDiet.app as a patient and physician educational and engagement tool for PCs and smartphones. The PortfolioDiet.app is currently being used as an add-on therapy to the standard of care (usual care) for the prevention of cardiovascular disease in primary care. To enhance the adoption of this tool, it is important to ensure that the PortfolioDiet.app meets the needs of its target end users.

Objective

The main objective of this project is to undertake user testing to inform modifications to the PortfolioDiet.app as part of ongoing engagement in quality improvement (QI).

Methods

We undertook a 2-phase QI project from February 2021 to September 2021. We recruited users by convenience sampling. Users included patients, family physicians, and dietitians, as well as nutrition and medical students. For both phases, users were asked to use the PortfolioDiet.app daily for 7 days. In phase 1, a mixed-form questionnaire was administered to evaluate the users’ perceived acceptability, knowledge acquisition, and engagement with the PortfolioDiet.app. The questionnaire collected both quantitative and qualitative data, including 2 open-ended questions. The responses were used to inform modifications to the PortfolioDiet.app. In phase 2, the System Usability Scale was used to assess the usability of the updated PortfolioDiet.app, with a score higher than 70 being considered acceptable.

Results

A total of 30 and 19 users were recruited for phase 1 and phase 2, respectively. In phase 1, the PortfolioDiet.app increased users’ perceived knowledge of the Portfolio Diet and influenced their perceived food choices. Limitations identified by users included challenges navigating to resources and profile settings, limited information on plant sterols, inaccuracies in points, timed-logout frustration, request for step-by-step pop-up windows, and request for a mobile app version; when looking at positive feedback, the recipe section was the most commonly praised feature. Between the project phases, 6 modifications were made to the PortfolioDiet.app to incorporate and address user feedback. At phase 2, the average System Usability Scale score was 85.39 (SD 11.47), with 100 being the best possible.

Conclusions

By undertaking user testing of the PortfolioDiet.app, its limitations and strengths were able to be identified, informing modifications to the application, which resulted in a clinical tool that better meets users’ needs. The PortfolioDiet.app educates users on the Portfolio Diet and is considered acceptable by users. Although further refinements to the PortfolioDiet.app will continue to be made before its evaluation in a clinical trial, the result of this QI project is an improved clinical tool.