Effectiveness Of Mobile Health Applications Research Articles

Studi Eksploratif tentang Efektivitas Manajemen Stres Berbasis Mobile Health Application pada Tenaga Kesehatan

Healthcare professionals often face high levels of stress due to demanding job requirements, which can negatively impact their mental and physical health. Mobile health applications have emerged as potential tools to assist in stress management. This study aims to evaluate the effectiveness of mobile health applications in reducing stress among healthcare professionals. The study utilizes a literature review method by identifying, selecting, and analyzing 12 relevant research articles. The article search was conducted across several databases such as Science Direct, PubMed, Springer, Elsevier, and Google Scholar. Inclusion criteria encompass articles that discuss the use of mobile health applications for stress management among healthcare professionals, published within the last 10 years. Data were thematically analyzed to identify key findings related to the effectiveness of these applications. The literature review results indicate that mobile health applications are effective in reducing stress levels and improving the psychological well-being of healthcare professionals. Successful implementation requires attention to factors influencing adoption and usage, as well as strategies to overcome existing barriers. Further research is needed to evaluate the long-term effects and develop practical recommendations to enhance the effectiveness of these applications.

The use of mobile health applications in empowering self-management of type 2 diabetes: a literature review

The use of mobile health applications is vital for achieving glycemic control, promoting lifestyle changes, and empowering self-management in individuals with type 2 diabetes. This literature review aims to assess the effectiveness of mobile health applications in empowering self-management among type 2 diabetes patients. A thorough search was conducted in databases like PubMed, CINAHL, Web of Science, Cochrane Library, Scopus, ULAKBIM National Database, and Medline between January 2020 and March 2023, using keywords such as "mobile health, mobile applications, type 2 diabetes, diabetes self-management, nursing." The search yielded 525 articles, out of which 34 studies in Turkish or English that evaluated the effectiveness of mobile health applications in individuals aged 18 years and above with type 2 diabetes were included in the review. Recent studies demonstrate a growing utilization of mobile health applications for the management of treatment and care in individuals with type 2 diabetes. These applications have been shown to empower self-management by promoting dietary adherence, regular blood sugar monitoring, regular physical activity, reduced medication requirements, and decreased HbA1c levels. Additionally, mobile health applications have been found to reduce face-to-face counseling time and healthcare costs. In conclusion, mobile health applications offer promising solutions for improving self-management and healthcare outcomes for individuals with type 2 diabetes. Further research and continued integration of these applications into clinical practice are essential to optimize their benefits and address the challenges faced by diabetes patients worldwide.

Abstract 19055: Effectiveness of Mobile Health Applications for Exercise Promotion on Cardiorespiratory Fitness After a Cancer Diagnosis: A Systematic Review and Meta-Analysis

Introduction: Cancer survivors are at higher risk for cardiovascular (CV) related mortality. Smartphone application based (app-based) interventions that promote exercise and physical activity are an increasingly prevalent strategy for health promotion. Yet, whether these mobile health (mHealth) interventions improve CV risk after a cancer diagnosis is unknown. Methods: Leveraging MEDLINE/PubMed, Scopus, and Clinical Trials.gov, we identified studies through May 1, 2023. Literature searches were conducted on articles meeting study inclusion criteria and with reported cancer diagnoses. Search terms included smartphone , mobile health , mHealth , app , mobile application , exercise , cancer and cardio-oncology . The main outcomes and measures included change in cardiovascular fitness, reflected by 6-minute walk test (6MWT), VO2max, 3-minute step test and systolic blood pressure or any mention of cardiac measures. Effect sizes were calculated as Cohen’s d. Aggregate effect sizes and moderator variables were tested using random effects models. Results: Overall, from 656 articles, 7 randomized controlled trials (RCTs) with 341 participants were identified. Interventions included mobile apps (n = 6), smartwatches (n = 2), or smartwatch plus an option to also use a web, mobile, or tablet app (n = 1); median age 49.71± 5.9 years; median duration of mHealth use 12 weeks. Across the 7 RCTs, mHealth was associated with improved cardiorespiratory outcomes (Cohen’s d=0.33; 95% CI, 0.07-0.60). Results maintained significance when cholesterol outcomes were added to the other cardiorespiratory outcomes ( d = 0.30; 95% CI = 0.03-0.56). There was no heterogeneity ( Q = 5.86, P >0.05) or publication bias ( P > .05). Among the 4 studies examining the 6MWT, the between groups Δ Cohen’s d was 0.27 (95% CI, -0.21, 0.75). Conclusions: Smartphone app-based exercise promotion interventions appear to be a viable strategy for improving cardiorespiratory fitness after a cancer diagnosis.

Systematic review on the effectiveness of mobile health applications on mental health of breast cancer survivors.

Breast cancer survivors are more likely to report psychological distress and unmet need for support compared to healthy controls. Psychological mobile health interventions might be used in follow-up care of breast cancer patients to improve their mental health. We searched MEDLINE, PsychINFO, Cochrane and PROSPERO for articles on controlled trials examining the effectiveness of psychological mobile health interventions compared to routine care regarding mental health outcomes of adult breast cancer survivors. This review followed the PRISMA statement and was registered on PROSPERO (CRD42022312972). Two researchers independently reviewed publications, extracted data and assessed risk of bias. After screening 204 abstracts published from 2005 to February 2023, eleven randomised trials involving 2249 patients with a mean age between 43.9 and 56.2years met the inclusion criteria. All interventions used components of cognitive behavioural therapy. Most studies applied self-guided interventions. Five studies reported percentages of patients never started (range = 3-15%) or discontinued the intervention earlier (range = 3-36%). No long-term effect > 3months post intervention was reported. Three of seven studies reported a significant short-term intervention effect for distress. Only one study each showed an effect for depression (1/5), anxiety (1/5), fear of recurrence (1/4) and self-efficacy (1/3) compared to a control group. A wide variance of interventions was used. Future studies should follow guidelines in developing and reporting their mobile interventions and conduct long-term follow-up to achieve reliable and comparable results. No clear effect of psychological mobile health interventions on patients' mental health could be shown. PROSPERO ID 312972.

The potential of mobile health applications to improve couples' fertility: a systematic review and meta-analysis of randomized controlled trials

The purpose of this systematic review was to examine the safety and effectiveness of mobile health applications in couples with infertility. Nineteen databases were searched from their inception to August 2022. Only randomized controlled trials (RCTs) in which mobile health was used as an intervention in infertile couples were included. A quantitative analysis of RCTs was employed using RevMan software. Study selection, data extraction and validation were performed by two independent reviewers according to the guidelines. The Cochrane criteria for risk-of-bias were used to evaluate the methodological quality of the trials. Eight RCTs met the inclusion criteria. Among the eight RCTs, two RCTs were from the Netherlands and the remaining six RCTs were from China. Meta-analysis showed that mobile health interventions in infertile couples in China were found to be superior to usual care in terms of clinical pregnancy rate (p = 0.001), psychological status (SAS (Self-Rating Anxiety Scale): p < 0.001; SDS (Self-Rating Depression Scale) p < 0.001;), infertility knowledge levels (p < 0.001), quality of life (p < 0.001), and serum levels of 5-hydroxytryptamine (p < 0.001). The effects on intervention groups using mobile health interventions in the Netherlands were not superior to the control groups that used usual care in terms of improving dietary factors (p > 0.05). In general, the positive effect of mobile health on improving clinical pregnancy rate, psychological status, infertility knowledge levels, quality of life and satisfaction with information was better than that of usual care. Mobile health interventions could be a viable supplement to the usual care for infertile couples. However, more high-quality RCTs need to be included in the future to provide additional evidence of the positive effects of mobile health in infertile couples.

Leveraging Citizen Science to Improve Urban Public Health

Abstract Background Mobile health approaches in community based participatory projects keep the promise to encourage sustainable behavior in citizens by engaging communities in data collection and connecting their individual level behavior to larger level community health. This review evaluates the effectiveness of the implementation of citizen science for health promotion of non-communicable diseases in urban community-based participatory research projects. Methods A scoping review was conducted using PRISMA-ScR. Pubmed and Web of Science were searched for citizen science studies. We included research 1.) conducted in an urban setting, 2.) related to environmental sustainability, 3.) focused on non-communicable diseases, and 4.) applied citizen science methodology. Results 32 community-based participatory research projects were identified using the following data collection technologies: mobile applications (n = 7), photovoice (n = 6), Stanford Healthy Neighborhood Discovery Tool (n = 6), monitoring (n = 6), mixed-methods (n = 4) and sensors (n = 3). The Stanford Healthy Neighborhood Discovery Tool was most effective at delivering real time data collection, exploring new communication and dissemination opportunities for remote and marginalized communities, and at offering a flexible and cost-effective approach to identify health promotion interventions. Studies that implemented photovoice tools and mobile applications had challenges with regard to recruitment and retention of participants as well as privacy concerns. Conclusions Mobile health technologies in community-based participatory research projects may be a promising way to uncover unknown local risk factors, raise awareness and identifying targeted policy solutions to promote healthy and sustainable environments in urban spheres. The effectiveness of mobile health applications for health promotion of non-communicable diseases may vary between community-based participatory studies by data collection method. Key messages • Mobile health technologies in communities may be a promising way to promote healthy and sustainable environments by raising awareness and offering targeted policy solutions in urban spheres. • The effectiveness of mobile health applications for health promotion of non-communicable diseases may vary between community-based participatory studies by data collection method.

Effectiveness of Mobile Health Applications for 5% Body Weight Reduction in Obese and Overweight Adults.

BackgroundWorld Health Organization reports that over 1.9 billion adults are obese. Studies have found that people who reduce their body weight by 5% experience considerable health benefits. Currently, mobile health (mHealth) applications (apps) show effectiveness in body weight reduction. The present study aimed to explore the effectiveness of a popular mHealth app in 5% body weight reduction and to identify factors that affect 5% body weight reduction in obese adults. We investigated the time it took users to achieve 5% body weight reduction according to usage characteristics and factors influencing this period of time.MethodsThis study was a secondary data analysis using data from 23,682 commercial mHealth app users. For analysis, logistic regressions, Kaplan-Meier estimators, log-rank tests, and Cox regressions were used.ResultsVariables in user characteristics including age (odds ratio [OR], 0.976; P<0.001), male (OR, 1.226; P<0.001), initial body mass index (OR, 1.009; P<0.001), frequency of data entry for body weight (OR, 1.004; P<0.001), frequency of exercise (OR, 1.002; P<0.001), and dinner intake (OR, 1.004; P<0.001) made significant contributions in predicting 5% weight reduction in the study cohort. Users who were obese and who more frequently entered their body weight, exercise, and dietary intake data reduced 5% body weight much sooner than other users. Data entry regarding initial body weight (exponentiation of the B coefficient [Exp(B)], 1.002; P<0.001), frequency in body weight entry (Exp(B), 1,001; P<0.001), dinner intake (Exp(B), 1.003; P<0.001), and evening snack intake (Exp(B), 1.001; P<0.001) significantly contributed to predicting the time needed to achieve a 5% body weight reduction in users.ConclusionFor 5% body weight reduction, mHealth apps are promising tools. Users who frequently monitor their health-related behaviors can expect a 5% reduction in body weight in a short period of time.

Data-driven Context Detection Leveraging Passively Sensed Nearables for Recognizing Complex Activities of Daily Living

Wearable systems have unlocked new sensing paradigms in various applications such as human activity recognition, which can enhance effectiveness of mobile health applications. Current systems using wearables are not capable of understanding their surroundings, which limits their sensing capabilities. For instance, distinguishing certain activities such as attending a meeting or class, which have similar motion patterns but happen in different contexts, is challenging by merely using wearable motion sensors. This article focuses on understanding user's surroundings, i.e., environmental context, to enhance capability of wearables, with focus on detecting complex activities of daily living (ADL). We develop a methodology to automatically detect the context using passively observable information broadcasted by devices in users’ locale. This system does not require specific infrastructure or additional hardware. We develop a pattern extraction algorithm and probabilistic mapping between the context and activities to reduce the set of probable outcomes. The proposed system contains a general ADL classifier working with motion sensors, learns personalized context, and uses that to reduce the search space of activities to those that occur within a certain context. We collected real-world data of complex ADLs and by narrowing the search space with context, we improve average F1-score from 0.72 to 0.80.

Using Mobile Applications to Increase Physical Activity: A Systematic Review.

Unhealthy diet and physical inactivity—major risk factors for the main non-communicable diseases—can be addressed by mobile health applications. Using an evidence-based systematic review design, we analysed studies on mobile applications to foster physical activity to determine whether they met the objective of increasing adults’ physical activity. A bibliographic search was conducted in October 2020 using PubMed, Cochrane Library Plus, Biomed Central, Psychology Database, and SpringerLink, retrieving 191 articles. After titles and abstracts were reviewed, 149 articles were excluded, leaving 42 articles for a full-text review, of which 14 met the inclusion criteria. Despite differences in study duration, design, and variables, 13 of the 14 studies reported that applications were effective in increasing physical activity and healthy habits as dietary behaviour. However, further longer-term studies with larger samples are needed to confirm the effectiveness of mobile health applications in increasing physical activity.

The Impact of Mobile Health on Cancer Screening: A Systematic Review.

Introduction:Mobile health is an emerging technology around the world that can be effective in cancer screening. This study aimed to examine the effectiveness of mobile health applications on cancer screening.Methods:We conducted a systematic literature review of studies related to the use of mobile health applications in cancer screening. We also conducted a comprehensive search of articles on cancer screening related to the use of mobile health applications in journals published between January 1, 2008, and January 31, 2019, using 5 databases: IEEE, Scopus, Web of Science, Science Direct and PubMed.Results:A total of 23 articles met the inclusion criteria and were included in the present review. All studies have identified positive effects of applications on cancer screening and clinical health outcomes. Furthermore, more than half of mobile applications had multiple functions such as providing information, planning and education. Moreover, most of the studies, which examined the satisfaction of patients and quality improvement, showed healthcare application users have significantly higher satisfaction of living and it leads to improving quality.Conclusion:This study found that the use of mobile health applications has a positive impact on health-related behaviours and outcomes. Application users were more satisfied with applying mobile health applications to manage their health condition in comparison with users who received conventional care.

Use of Mobile Health Applications and the Self-Management of Cancer: A Gendered Approach

The growing use of mobile health applications for health purposes increased the expectations about their effectiveness. The study examines the effectiveness of mobile health applications on the self-management behaviors of 168 individuals diagnosed with cancer. The results of a secondary analysis indicate that using extensively mobile health applications significantly increases women’s health empowerment attitudes—reaching health decisions, changing their approach to health concerns, seeking additional health consultation. However, the use of mobile health applications does not increase the likelihood of adopting self-management behaviors. The study indicates that the effectiveness of mobile health applications in self-management practices is contingent upon a set of personal characteristics and the level of technology skills.

Effectiveness of Mobile Health Application Use to Improve Health Behavior Changes: A Systematic Review of Randomized Controlled Trials.

ObjectivesThe purpose of this study was to examine the effectiveness of mobile health applications in changing health-related behaviors and clinical health outcomes.MethodsA systematic review was conducted in this study. We conducted a comprehensive bibliographic search of articles on health behavior changes related to the use of mobile health applications in peer-reviewed journals published between January 1, 2000 and May 31, 2017. We used databases including CHINAHL, Ovid-Medline, EMBASE, and PubMed. The risk of bias assessment of the retrieved articles was examined using the Scottish Intercollegiate Guidelines Network.ResultsA total of 20 articles met the inclusion criteria. Sixteen among 20 studies reported that applications have a positive impact on the targeted health behaviors or clinical health outcomes. In addition, most of the studies, which examined the satisfaction of participants, showed health app users have a statistically significant higher satisfaction.ConclusionsDespite the high risk of bias, such as selection, performance, and detection, this systematic review found that the use of mobile health applications has a positive impact on health-related behaviors and clinical health outcomes. Application users were more satisfied with using mobile health applications to manage their health in comparison to users of conventional care.