Use of a Smartphone-Based Mobile App for Weight Management in Obese Minority Stroke Survivors: Pilot Randomized Controlled Trial With Open Blinded End Point

Weathering the storm: Effect of climate change on acute stroke care and stroke rehabilitation

Climate change has deleterious effects on stroke recovery, disproportionately affecting populations with increased stroke incidence. These effects start prior to the acute care hospitalization, precipitated by environmental etiologies and are sustained throughout the life course of stroke survivors. Health care practitioners play a critical role in identifying these concerns and mitigating their impact through effective strategies at the patient level, interventions at the community level, and advocacy at the state and federal level. As the experts on improvement in function, quality of life, and the mitigation of disability, physiatrists have the opportunity to lead efforts in this space for stroke survivors and their caregivers.

Health Care Disparities in Stroke Rehabilitation

Stroke outcomes are influenced by factors such as education, lifestyle, and access to care, which determine the extent of functional recovery. Disparities in stroke rehabilitation research have traditionally included age, race/ethnicity, and sex, but other areas make up a gap in the literature. This article conducted a literature review of original research articles published between 2008 and 2022. The article also expands on research that highlights stroke disparities in risk factors, rehabilitative stroke care, language barriers, outcomes for stroke survivors, and interventions focused on rehabilitative stroke disparities.

A mobile application-based post-stroke care strategy for survivors and their caregivers for prevention and management of post-stroke complications - "Stroke Home Care:" Development and feasibility

Objectives

In developing nations such as India, a disparity exists between the available resources for stroke rehabilitation and the substantial burden of stroke cases. Consequently, the provision of cost-effective and multidisciplinary post-stroke rehabilitation care to stroke survivors becomes of paramount importance. The utilization of mobile applications (apps) for stroke care has been on the rise, offering a personalized and pragmatic solution with the potential for wider reach in settings constrained by limited resources. To address the unmet needs in the prevention and management of post-stroke complications, we conceptualized a strategy known as a mobile application-based post-stroke care strategy for both survivors and their caregivers.

Materials and Methods

The scope of the app's focus was determined based on the incidence of post-stroke complications within a prospective cohort of stroke patients, in conjunction with existing literature. An initial "web-based mobile app" prototype was crafted to align with the identified focus area. Before the development of the final app version, a feasibility study was conducted involving 30 participant dyads (comprising a patient and a caregiver). Content validity was evaluated by a panel of 20 stroke experts encompassing neurologists, nurses, physiotherapists, and psychologists.

Results

The "Stroke Home Care" (SHC) mobile app was conceived as a web-based educational tool aimed at preventing and managing post-stroke complications. It seeks to train caregivers of immobile stroke patients in the administration of preventive and therapeutic care procedures, thereby potentially enhancing survivors' quality of life and alleviating caregivers' burden. The feasibility and validity studies indicated "high satisfaction" levels among most caregivers and experts (>75%), with the remainder expressing "satisfaction" and no "dissatisfaction" regarding app utilities. Stroke experts unanimously deemed the app "appropriate", with consensus on contents, video quality, video length, and voice clarity. Caregivers reported "satisfactory" user experiences, encountering no issues during app installation or operation. Suggestions from both caregivers and experts were integrated into the final app version.

Conclusion

The "SHC" app represents a feasible and well-received innovation tailored for the use by caregivers of stroke survivors. Consequently, the initial feasibility of the developed app serves as a precursor to a randomized controlled clinical trial aimed at substantiating its effectiveness within the post-stroke survivor and caregiver population. Notably, within resource-constrained contexts, this app has the potential to be a pivotal tool for post-stroke care.

The use of internet-based smartphone apps consistently improved consumers' healthy eating behaviors: a systematic review of randomized controlled trials

Introduction

Digital tools, such as mobile apps and the Internet, are being increasingly used to promote healthy eating habits. However, there has been inconsistent reporting on the effectiveness of smartphones and web-based apps in influencing dietary behaviors. Moreover, previous reviews have been limited in scope, either by focusing on a specific population group or by being outdated. Therefore, the purpose of this review is to investigate the impacts of smartphone- and web-based dietary interventions on promoting healthy eating behaviors worldwide.

Methods

A systematic literature search of randomized controlled trials was conducted using databases such as Google Scholar, PubMed, Global Health, Informit, Web of Science, and CINAHL (EBSCO). The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed to prepare the entire document. EndNote (version 20) was used for reference management. The risk of bias in the articles was assessed using the "Revised Cochrane Risk of Bias tool for randomized trials (RoB 2.0)" by the Cochrane Collaboration. Narrative synthesis, using text and tables, was used to present the results. The study was registered in PROSPERO under protocol number CRD42023464315.

Results

This review analyzed a total of 39 articles, which consisted of 25 smartphone-based apps and 14 web-based apps. The studies involved a total of 14,966 participants. Out of the 25 studies, 13 (52%) showed that offline-capable smartphone apps are successful in promoting healthier eating habits. The impact of smartphone apps on healthy adults has been inconsistently reported. However, studies have shown their effectiveness in chronically ill patients. Likewise, internet-based mobile apps, such as social media or nutrition-specific apps, have been found to effectively promote healthy eating behaviors. These findings were consistent across 14 studies, which included healthy adults, overweight or obese adults, chronically ill patients, and pregnant mothers.

Conclusion

Overall, the findings suggest that smartphone apps contribute to improving healthy eating behaviors. Both nutrition-specific and social media-based mobile apps consistently prove effective in promoting long-term healthy eating habits. Therefore, policymakers in the food system should consider harnessing the potential of internet-based mobile apps and social media platforms to foster sustainable healthy eating behaviors.

Effectiveness of mobile application interventions for stroke survivors: systematic review and meta-analysis

BACKGROUND

Although smartphone usage is ubiquitous, and a vast amount of mobile applications have been developed for chronic diseases, mobile applications amongst stroke survivors remain unclear.

OBJECTIVE

This systematic review and meta-analysis aimed to determine the effectiveness of mobile applications on medication adherence, functional outcomes, cardiovascular risk factors, quality of life and knowledge on stroke in stroke survivors.

METHODS

A review of the literature was conducted using key search terms in PubMed, EMBASE, Cochrane and Web of Science databases until 16 March 2023 to identify eligible randomized controlled trials (RCTs) or controlled clinical trial (CCTs) of mobile application interventions among stroke survivors. Two reviewers independently screened the literature in accordance with the eligibility criteria and collected data from the articles included. Outcomes included medication adherence,functional outcomes,cardiovascular risk factors, quality of life,and knowledge of stroke.

RESULTS

Twenty-three studies involving 2983 participants across nine countries were included in this review. Sixteen trials involved health care professionals in app use, and seven trials reported measures to ensure app-based intervention adherence. Mobile applications targeting stroke survivors primarily encompassed three areas: rehabilitation, education and self-care. The participants in the studies primarily included young and middle-aged stroke survivors. Meta-analysis results demonstrated that mobile application intervention significantly improved trunk control ability (mean differences [MD] 3.00, 95% CI [1.80 to 4.20]; P < 0.00001), Fugl-Meyer assessment of upper extremity (MD 9.81, 95% CI [8.72 to 10.90]; P < 0.00001), low-density lipoprotein cholesterol (MD - 0.33, 95% CI [- 0.54 to - 0.11]; P = 0.003) and glycosylated haemoglobin A1c (HbA1c)<7 levels (MD 1.95, 95% CI [1.17 to 3.25]; P = 0.01). However, the mobile application intervention did not differ significantly in medication adherence, 10-min walk test (10 MWT), Barthel index, systolic blood pressure, diastolic blood pressure, high-density lipoprotein cholesterol, body mass index, smoking, health-related quality of life and knowledge of stroke.

CONCLUSION

Our study suggested that mobile application interventions may have a potential benefit to stroke survivors, but clinical effectiveness should be established. More studies using rigorous designs are warranted to understand their usefulness. Future research should also involve more older adult stroke survivors.

Mobile Technology-Based Interventions for Stroke Self-Management Support: Scoping Review

BACKGROUND

There is growing interest in enhancing stroke self-management support using mobile health (mHealth) technology (eg, smartphones and apps). Despite this growing interest, "self-management support" is inconsistently defined and applied in the poststroke mHealth intervention literature, which limits efforts to synthesize and compare evidence. To address this gap in conceptual clarity, a scoping review was conducted.

OBJECTIVE

The objectives were to (1) identify and describe the types of poststroke mHealth interventions evaluated using a randomized controlled trial design, (2) determine whether (and how) such interventions align with well-accepted conceptualizations of self-management support (the theory by Lorig and Holman and the Practical Reviews in Self-Management Support [PRISMS] taxonomy by Pearce and colleagues), and (3) identify the mHealth functions that facilitate self-management.

METHODS

A scoping review was conducted according to the methodology by Arksey and O'Malley and Levac et al. In total, 7 databases were searched. Article screening and data extraction were performed by 2 reviewers. The data were analyzed using descriptive statistics and content analysis.

RESULTS

A total of 29 studies (26 interventions) were included. The interventions addressed 7 focal areas (physical exercise, risk factor management, linguistic exercise, activities of daily living training, medication adherence, stroke education, and weight management), 5 types of mobile devices (mobile phones or smartphones, tablets, wearable sensors, wireless monitoring devices, and laptops), and 7 mHealth functions (educating, communicating, goal setting, monitoring, providing feedback, reminding, and motivating). Collectively, the interventions aligned well with the concept of self-management support. However, on an individual basis (per intervention), the alignment was less strong.

CONCLUSIONS

On the basis of the results, it is recommended that future research on poststroke mHealth interventions be more theoretically driven, more multidisciplinary, and larger in scale.

A Scoping Review of mHealth Interventions for Secondary Prevention of Stroke: Implications for Policy and Practice

Secondary prevention is a major priority for those living with stroke and may be improved through the use of mobile Health (mHealth) interventions. While evidence for the effectiveness of mHealth interventions for secondary prevention of stroke is growing, little attention has been given to the translation of these interventions into real-world use. In this review, we aimed to provide an update on the effectiveness of mHealth interventions for secondary prevention of stroke, and investigate their translation into real-world use. Four electronic databases and the gray literature were searched for randomized controlled trials of mHealth interventions for secondary prevention of stroke published between 2010 and 2023. Qualitative and mixed-methods evaluations of the trials were also included. Data were extracted regarding study design, population, mHealth technology involved, the intervention, and outcomes. Principal researchers from these trials were also contacted to obtain further translational information. From 1151 records, 13 randomized controlled trials and 4 evaluations were identified; sample sizes varied widely (median, 56; range, 24-4298). Short message service messages (9/13) and smartphone applications (6/13) were the main technologies used to deliver interventions. Primary outcomes of feasibility of the intervention were achieved in 4 trials, and primary outcomes of changes in risk factors, lifestyle behaviors, and adherence to medication improved in 6 trials. Only 1 trial had a hard end point (ie, stroke recurrence) as a primary outcome, and no significant differences were observed between groups. There was evidence for only 1 intervention being successfully translated into real-world use. Further evidence is required on the clinical effectiveness of mHealth interventions for preventing recurrent stroke, and the associated delivery costs and cost-effectiveness, before adoption into real-world settings.

Use of Community-Engaged Research Approaches in Clinical Interventions for Neurologic Disorders in the United States: A Scoping Review and Future Directions for Improving Health Equity Research

BACKGROUND AND OBJECTIVES

Evidence suggests a significant prevalence of race and ethnic disparities in the United States among people with neurologic conditions including stroke, Alzheimer disease and related dementia (ADRD), Parkinson disease (PD), epilepsy, spinal cord injury (SCI), and traumatic brain injury (TBI). Recent neurologic research has begun the paradigm shift from observational health disparities research to intervention research in an effort to narrow the disparities gap. There is an evidence base that suggests that community engagement is a necessary component of health equity. While the increase in disparities focused neurologic interventions is encouraging, it remains unclear whether and how community-engaged practices are integrated into intervention design and implementation. The purpose of this scoping review was to identify and synthesize intervention studies that have actively engaged with the community in the design and implementation of interventions to reduce disparities in neurologic conditions and to describe the common community engagement processes used.

METHODS

Two databases, PubMed and CINAHL, were searched to identify eligible empirical studies within the United States whose focus was on neurologic interventions addressing disparities and using community engagement practices.

RESULTS

We identified 392 disparity-focused interventions in stroke, ADRD, PD, epilepsy, SCI, and TBI, of which 53 studies incorporated community engagement practices: 32 stroke studies, 15 ADRD, 2 epilepsy studies, 2 PD studies, 1 SCI study, and 1 TBI study. Most of the interventions were designed as randomized controlled trials and were programmatic in nature. The interventions used a variety of community engagement practices: community partners (42%), culturally tailored materials and mobile health (40%), community health workers (32%), faith-based organizations and local businesses (28%), focus groups/health need assessments (25%), community advisory boards (19%), personnel recruited from the community/champions (19%), and caregiver/social support (15%).

DISCUSSION

Our scoping review reports that the proportion of neurologic intervention studies incorporating community engagement practices is limited and that the practices used within those studies are varied. The major practices used included collaboration with community partners and utilization of culturally tailored materials. We also found inconsistent reporting and dissemination of results from studies that implemented community engagement measures in their interventions. Future directions include involving the community in research early and continuously, building curricula that address challenges to community engagement, prioritizing the inclusion of community engagement reporting in peer-reviewed journals, and prioritizing and incentivizing research of subpopulations that experience disparities in neurologic conditions.

Mobile App Interventions for Parkinson's Disease, Multiple Sclerosis and Stroke: A Systematic Literature Review

Central nervous system diseases (CNSDs) lead to significant disability worldwide. Mobile app interventions have recently shown the potential to facilitate monitoring and medical management of patients with CNSDs. In this direction, the characteristics of the mobile apps used in research studies and their level of clinical effectiveness need to be explored in order to advance the multidisciplinary research required in the field of mobile app interventions for CNSDs. A systematic review of mobile app interventions for three major CNSDs, i.e., Parkinson's disease (PD), multiple sclerosis (MS), and stroke, which impose significant burden on people and health care systems around the globe, is presented. A literature search in the bibliographic databases of PubMed and Scopus was performed. Identified studies were assessed in terms of quality, and synthesized according to target disease, mobile app characteristics, study design and outcomes. Overall, 21 studies were included in the review. A total of 3 studies targeted PD (14%), 4 studies targeted MS (19%), and 14 studies targeted stroke (67%). Most studies presented a weak-to-moderate methodological quality. Study samples were small, with 15 studies (71%) including less than 50 participants, and only 4 studies (19%) reporting a study duration of 6 months or more. The majority of the mobile apps focused on exercise and physical rehabilitation. In total, 16 studies (76%) reported positive outcomes related to physical activity and motor function, cognition, quality of life, and education, whereas 5 studies (24%) clearly reported no difference compared to usual care. Mobile app interventions are promising to improve outcomes concerning patient's physical activity, motor ability, cognition, quality of life and education for patients with PD, MS, and Stroke. However, rigorous studies are required to demonstrate robust evidence of their clinical effectiveness.

Smartphone App in Stroke Management: A Narrative Updated Review

The spread of smartphones and mobile-Health (m-health) has progressively changed clinical practice, implementing access to medical knowledge and communication between doctors and patients. Dedicated software called Applications (or Apps), assists the practitioners in the various phases of clinical practice, from diagnosis to follow-up and therapy management. The impact of this technology is even more important in diseases such as stroke, which are characterized by a complex management that includes several moments: primary prevention, acute phase management, rehabilitation, and secondary prevention. This review aims to evaluate and summarize the available literature on Apps for the clinical management of stroke. We described their potential and weaknesses, discussing potential room for improvement. Medline databases were interrogated for studies concerning guideline-based decision support Apps for stroke management and other medical scenarios from 2007 (introduction of the first iPhone) until January 2022. We found 551 studies. Forty-three papers were included because they fitted the scope of the review. Based on their purpose, Apps were classified into three groups: primary prevention Apps, acute stroke management Apps, and post-acute stroke Apps. We described the aim of each App and, when available, the results of clinical studies. For acute stroke, several Apps have been designed with the primary purpose of helping communication and sharing of patients' clinical data among healthcare providers. However, interactive systems Apps aiming to assist clinicians are still lacking, and this field should be developed because it may improve stroke patients' management.

Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review

BACKGROUND

Mobile health (mHealth) apps show vast potential in supporting patients and health care systems with the increasing prevalence and economic costs of noncommunicable diseases (NCDs) worldwide. However, despite the availability of evidence-based mHealth apps, a substantial proportion of users do not adhere to them as intended and may consequently not receive treatment. Therefore, understanding the factors that act as barriers to or facilitators of adherence is a fundamental concern in preventing intervention dropouts and increasing the effectiveness of digital health interventions.

OBJECTIVE

This review aimed to help stakeholders develop more effective digital health interventions by identifying factors influencing the continued use of mHealth apps targeting NCDs. We further derived quantified adherence scores for various health domains to validate the qualitative findings and explore adherence benchmarks.

METHODS

A comprehensive systematic literature search (January 2007 to December 2020) was conducted on MEDLINE, Embase, Web of Science, Scopus, and ACM Digital Library. Data on intended use, actual use, and factors influencing adherence were extracted. Intervention-related and patient-related factors with a positive or negative influence on adherence are presented separately for the health domains of NCD self-management, mental health, substance use, nutrition, physical activity, weight loss, multicomponent lifestyle interventions, mindfulness, and other NCDs. Quantified adherence measures, calculated as the ratio between the estimated intended use and actual use, were derived for each study and compared with the qualitative findings.

RESULTS

The literature search yielded 2862 potentially relevant articles, of which 99 (3.46%) were included as part of the inclusion criteria. A total of 4 intervention-related factors indicated positive effects on adherence across all health domains: personalization or tailoring of the content of mHealth apps to the individual needs of the user, reminders in the form of individualized push notifications, user-friendly and technically stable app design, and personal support complementary to the digital intervention. Social and gamification features were also identified as drivers of app adherence across several health domains. A wide variety of patient-related factors such as user characteristics or recruitment channels further affects adherence. The derived adherence scores of the included mHealth apps averaged 56.0% (SD 24.4%).

CONCLUSIONS

This study contributes to the scarce scientific evidence on factors that positively or negatively influence adherence to mHealth apps and is the first to quantitatively compare adherence relative to the intended use of various health domains. As underlying studies mostly have a pilot character with short study durations, research on factors influencing adherence to mHealth apps is still limited. To facilitate future research on mHealth app adherence, researchers should clearly outline and justify the app's intended use; report objective data on actual use relative to the intended use; and, ideally, provide long-term use and retention data.

Mobile Health Application to Support Family Caregivers in Recurrent Stroke Prevention: Scoping Review

BACKGROUND OF THE STUDY: Caregivers play a vital role in continuum care for stroke patients. Involvement of caregivers in stroke care was important. With the advancement of information technology and the rapid growth worldwide in cell-phone use and internet connectivity, additional evidence may be needed in the use of mobile applications to support caregivers in stroke care. AIM OF THE STUDY: The aims of this review was to identify existing mobile application designed to support family caregivers of people with stroke disease. METHODOLOGY: A scoping review study framework was carried out in this study, using the EBSCO, Cochrane, PubMed, ProQuest, and Science Direct databases using search keywords: ‘family caregiver’, ‘mobile health application’,  and ‘recurrent stroke or secondary stroke prevention’. This review examined studies published between January 2011 and December 2020. Of a total of 728 papers found, 9 journals were selected. RESULTS: The results founded three categories and their attendant sub-categories. The categories was caregivers support, involvement caregivers in stroke care, and barriers. The majority of mobile application was used to provide video education for caregivers. Caregivers involved in stroke care including emotional care, nutrition, exercise, and recurrent stroke prevention. Poor connection was the most barrier in using mobile application. CONCLUSION: Mobile application can support caregivers in stroke care. Healthcare providers are expected to utilize mobile applications in helping caregivers in post-stroke care.

Challenges in Participant Engagement and Retention using Mobile Health Apps: A Literature Review (Preprint)

Background

Mobile health (mHealth) apps are revolutionizing the way clinicians and researchers monitor and manage the health of their participants. However, many studies using mHealth apps are hampered by substantial participant dropout or attrition, which may impact the representativeness of the sample and the effectiveness of the study. Therefore, it is imperative for researchers to understand what makes participants stay with mHealth apps or studies using mHealth apps.

Objective

This study aimed to review the current peer-reviewed research literature to identify the notable factors and strategies used in adult participant engagement and retention.

Methods

We conducted a systematic search of PubMed, MEDLINE, and PsycINFO databases for mHealth studies that evaluated and assessed issues or strategies to improve the engagement and retention of adults from 2015 to 2020. We followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Notable themes were identified and narratively compared among different studies. A binomial regression model was generated to examine the factors affecting retention.

Results

Of the 389 identified studies, 62 (15.9%) were included in this review. Overall, most studies were partially successful in maintaining participant engagement. Factors related to particular elements of the app (eg, feedback, appropriate reminders, and in-app support from peers or coaches) and research strategies (eg, compensation and niche samples) that promote retention were identified. Factors that obstructed retention were also identified (eg, lack of support features, technical difficulties, and usefulness of the app). The regression model results showed that a participant is more likely to drop out than to be retained.

Conclusions

Retaining participants is an omnipresent challenge in mHealth studies. The insights from this review can help inform future studies about the factors and strategies to improve participant retention.

Leveraging Multimedia Patient Engagement to Address Minority Cerebrovascular Health Needs: Prospective Observational Study

BACKGROUND

Social inequities affecting minority populations after Hurricane Katrina led to an expansion of environmental justice literature. In August 2017, Hurricane Harvey rainfall was estimated as a 3000- to 20,000-year flood event, further affecting minority populations with disproportionate stroke prevalence. The Stomp Out Stroke initiative leveraged multimedia engagement, creating a patient-centered cerebrovascular health intervention.

OBJECTIVE

This study aims to address social inequities in cerebrovascular health through the identification of race- or ethnicity-specific health needs and the provision of in-person stroke prevention screening during two community events (May 2018 and May 2019).

METHODS

Stomp Out Stroke recruitment took place through internet-based channels (websites and social networking). Exclusively through web registration, Stomp Out Stroke participants (aged >18 years) detailed sociodemographic characteristics, family history of stroke, and stroke survivorship. Participant health interests were compared by race or ethnicity using Kruskal-Wallis or chi-square test at an α=.05. A Bonferroni-corrected P value of .0083 was used for multiple comparisons.

RESULTS

Stomp Out Stroke registrants (N=1401) were 70% (973/1390) female (median age 45 years) and largely self-identified as members of minority groups: 32.05% (449/1401) Hispanic, 25.62% (359/1401) African American, 13.63% (191/1401) Asian compared with 23.63% (331/1401) non-Hispanic White. Stroke survivors comprised 11.55% (155/1401) of our population. A total of 124 stroke caregivers participated. Approximately 36.81% (493/1339) of participants had a family history of stroke. African American participants were most likely to have Medicare or Medicaid insurance (84/341, 24.6%), whereas Hispanic participants were most likely to be uninsured (127/435, 29.2%). Hispanic participants were more likely than non-Hispanic White participants to obtain health screenings (282/449, 62.8% vs 175/331, 52.9%; P=.03). Asian (105/191, 54.9%) and African American (201/359, 55.9%) participants were more likely to request stroke education than non-Hispanic White (138/331, 41.6%) or Hispanic participants (193/449, 42.9%). African American participants were more likely to seek overall health education than non-Hispanic White participants (166/359, 46.2% vs 108/331, 32.6%; P=.002). Non-Hispanic White participants (48/331, 14.5%) were less likely to speak to health care providers than African American (91/359, 25.3%) or Asian participants (54/191, 28.3%). During the 2018 and 2019 events, 2774 health screenings were completed across 12 hours, averaging four health screenings per minute. These included blood pressure (1031/2774, 37.16%), stroke risk assessment (496/2774, 17.88%), bone density (426/2774, 15.35%), carotid ultrasound (380/2774, 13.69%), BMI (182/2774, 6.56%), serum lipids (157/2774, 5.65%), and hemoglobin A_1c (102/2774, 3.67%). Twenty multimedia placements using the Stomp Out Stroke webpage, social media, #stompoutstroke, television, iQ radio, and web-based news reached approximately 849,731 people in the Houston area.

CONCLUSIONS

Using a combination of internet-based recruitment, registration, and in-person assessments, Stomp Out Stroke identified race- or ethnicity-specific health care needs and provided appropriate screenings to minority populations at increased risk of urban flooding and stroke. This protocol can be replicated in Southern US Stroke Belt cities with similar flood risks.

Effect of mobile health based peripartum management of gestational diabetes mellitus on postpartum diabetes: A randomized controlled trial

AIMS

To investigate the effects of mobile health based peripartum management of gestational diabetes mellitus (GDM) on postpartum diabetes and factors associated with postpartum diabetes.

METHODS

Women with GDM (n = 309) were randomly assigned to receive standard management (SM) or mobile management (MM). 75-g OGTT was performed at 6 weeks postpartum.

RESULTS

The incidence of postpartum T2DM in the MM group was much higher than that in SM group (12.36% vs. 3.88%, P =  0.0291). The fasting, 1-h and 2 h OGTT at 24-28 weeks of gestation of T2DM women were higher than those women without T2DM (fasting, 6.08 vs. 4.90, P = 0.0052; 1-h, 13.20 vs. 10.00, P < 0.0001; 11.96 vs. 8.83, P = 0.0026) in MM group. The 1-h and 2 h OGTT at 24-28 weeks of gestation of T2DM women were higher than those women without T2DM (11.54 vs. 9.78, P = 0.0484; 10.68 vs. 8.68, P = 0.0108) in SM group. Higher OGTT values at 24-28 weeks of gestation were risk factors of postpartum T2DM.

CONCLUSIONS

Higher OGTT values at 24-28 weeks of gestation were risk factors to develop postpartum T2DM. Mobile health based peripartum management of GDM increased the risk of postpartum diabetes among women with GDM for lacking of postpartum management. Further studies of mobile health based postpartum management of GDM are needed. ClinicalTrials.gov registration number NCT03748576.

Personalized 3D exergames for in-home rehabilitation after stroke: a pilot study

PURPOSE

To describe a novel 3-dimensional (3D) exergames system and the results of a clinical feasibility study of stroke survivors needing in-home rehabilitation.

MATERIALS AND METHODS

The customisable Personalized In-home eXErgames for Rehabilitation (PIXER) system captures the user's image, generates a live model, and incorporates it into a virtual exergame. PIXER provides a recording system for home exercise programs (HEPs) by adapting virtual objects, customizes the exergame and creates a digital diary. Ten persons with stroke, performed HEPs with PIXER for 1 month, and without PIXER for 2 additional months. In-game performance data, measures of physical functioning (PF) including Stroke Impact Scale (SIS), Timed Up & Go (TUG) and Goal Attainment (GA) Scale obtained at baseline, 1- and 3 months were evaluated.

RESULTS

Seventy percent of participants completed the 1-month timepoint, 50% completed all timepoints. In-game data: Number of repetitions completed; Anomalies reported; and Percentage of bubbles hit showed positive trends. Compared to baseline, all SIS physical functioning (PF) scores were higher at 1 month, TUG scores showed no overall improvement and GA scale scores were 77% at 3 months.

CONCLUSION

It is feasible for community-dwelling patients to perform HEP after stroke using PIXER, a novel, exergames system, and potentially improve their function.IMPLICATIONS FOR REHABILITATIONHome Exercises performed using a novel, 3-dimensional, customizable Personalized In-home eXErgames for Rehabilitation (PIXER) system is feasible for community-dwelling patients after stroke.In-game performance data obtained in this clinical pilot study showed positive trends of improvement in several study participants.PIXER has potential to improve functional outcomes for community-dwelling adults with stroke.

Telehealth Interventions to Support Self-Management in Stroke Survivors: A Systematic Review

Telehealth (TH) intervention is a method to optimize self-management (SM) support in stroke survivors. Objectives of this study included identifying the TH-SM intervention's focus and SM support components, the TH delivery type, and the TH-SM support effects on stroke survivors. Five databases were searched for the years 2005-2020 to identify TH-SM support interventions for stroke survivors. Randomized controlled trials and quasi-experimental, one-group re-post study designs were included. Ten studies were reviewed. TH-SM support focused on post-stroke depression, obesity management, participation, functional mobility, and activities of daily living. The TH delivery type most used in selected studies was messaging. Regarding the SM support components, the education component was used in all studies, and psychological support and lifestyle advice and support were used in 8 out of 10 studies. TH-SM intervention had positive effects in terms of goal achievement for SM behavior, emotional state, and mobility of clinical outcomes, and TH acceptance in stroke survivors. Although the TH-SM-supported intervention effects were not found consistently in all outcomes, this review discovered a positive effect on various SM-related outcomes. In addition, TH delivery types and SM support components showed the possibility of various options to be considered for intervention. Therefore, we suggest that TH-SM supported intervention is a positive alternative for SM support in stroke survivors.

mHealth Intervention Applications for Adults Living With the Effects of Stroke: A Scoping Review

Objective

To conduct a scoping review of mobile health (mHealth) application (app) interventions to support needs of adults living with the effects of stroke reported in the literature.

Data Sources

PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Scopus were systematically searched for peer-reviewed publications. Articles were published between January 2007 and September 2020 and met predefined inclusion and exclusion criteria.

Study Selection

Articles included were written in English language, involved adults older than 18 years, and described an mHealth app specifically tested and/or developed as an intervention for someone with stroke to be used remotely and/or independently without constant provider supervision or assistance. Articles were excluded if they focused on acute management of stroke only, focused on primary prevention, were animal studies, were not an app for smartphone or tablet, and did not describe an empirical study.

Data Extraction

Two researchers independently screened titles and abstracts for inclusion. The full-text articles were then reviewed for eligibility by the research team. Data were extracted and verified by a third reviewer.

Data Synthesis

The search yielded 2123 studies and 49 were included for data extraction. The findings reveal that a global surge of studies on mHealth apps for people with stroke have emerged within the past 2 years. Most studies were developed for persons with stroke in the United States and the primary content foci included upper extremity function (31.5%); lower extremity function (5.3%); general exercise, physical activity, and/or functional mobility (23.7%); trunk control (5.3%); medical management and secondary prevention (26.3%); language and speech skills (20.5%); cognitive skills (7.9%); general disability and activities of daily living (5.3%); and home safety (2.6%). Of the included studies, a majority were preliminary in nature, with 36.7% being categorized as pilot or feasibility trials and 24.4% discussing initial design, development, and/or refinement.

Conclusions

Results from this study reveal that the number of apps specifically developed for people with stroke and described in the scientific literature are growing exponentially. The apps have widely varied content to meet the needs of persons with stroke; however, the studies are generally preliminary in nature, focusing on development, usability, and initial pilot testing. This review highlights the need for additional research and development of mHealth apps targeted for adults with stroke. Development should consider the various and complex needs of people living with the effects of chronic stroke, while large-scale trials are needed to build on the existing evidence.

OBINTER: A Holistic Approach to Catalyse the Self-Management of Chronic Obesity

Obesity is a preventable chronic condition that, in 2016, affected more than 1.9 billion people globally. Several factors have been identified that have a positive impact on long-term weight loss programs such as personalized recommendations, adherence strategies, weight and diet follow-up or physical activity tracking. Recently, various applications have been developed which help patients to self-manage their condition. These apps implement either one or some of these identified factors; however, there is not a single application that combines all of them following a holistic approach. In this context, we developed the OBINTER platform, which assists patients during the weight loss process by targeting user engagement during the longer term. The solution includes a mobile application which allows users to fill out dietetic questionnaires, receive dietetic and nutraceutical plans, track the evolution of their weight and adherence to the diet, as well as track their physical activity via a wearable device. Furthermore, an adherence strategy has been developed as a tool to foster the app usage during the whole weight loss process. In this paper, we present how the OBINTER approach gathers all of these features as well as the positive results of a usability testing study performed to assess the performance and usability of the OBINTER platform.