Evaluating a woman-centred web-based breastfeeding educational intervention in Saudi Arabia: A before-and-after quasi-experimental study.

BACKGROUND: Although digital educational resources are used worldwide to educate new parents, the impact of digital resources tailored specifically to women's needs on breastfeeding practices is not well explored. AIM: The study aimed to evaluate the effectiveness of using a women-centred Web-Based Breastfeeding Educational Resource (WEBBER) in increasing the rate of exclusive breastfeeding at one month after birth. METHODS: A quasi-experimental study with before and after intervention was conducted in one metropolitan hospital in Saudi Arabia. Participants were primiparous women (n=290) aged 18 or above who intended to breastfeed. The intervention involved introducing the WEBBER to pregnant women and reinforcing its uses as a routine breastfeeding educational resource. Women's characteristics and infant feeding data were collected at one month after birth via an online survey. FINDINGS: The rate of exclusive breastfeeding at one month postpartum among the women who received the WEBBER intervention was nearly three times higher compared to the women prior to the introduction of the intervention (66 % vs. 26 %, p-value <.001). Furthermore, other predictors of exclusive breastfeeding at one month were the mother being unemployed, the baby not receiving infant formula in the hospital, and the mother having postnatal intention to continue breastfeeding for 6 months or more. DISCUSSION AND CONCLUSION: Using WEBBER as a routine breastfeeding educational resource increased the rate of exclusive breastfeeding one month after birth. Embedding woman-centred digital resources into routine breastfeeding education is an effective intervention for women in Saudi Arabia.

Investigating mobile persuasive design for mental wellness: A cross-domain analysis.

BACKGROUND: Global mental health issues have increased the demand for digital mental health support. Mobile apps with persuasive technology play a vital role in enhancing mental well-being. OBJECTIVE: Analysing and Comparing persuasive intervention design across various app categories, this study aims to inspire innovative design approaches for improving the persuasiveness of mental wellness apps during their development. METHODS: We retrieved a total of 100 mobile apps from five distinct categories (20 for each): Mental wellness, Social media, Entertainment, Fitness & Physical health and News & Information from Apple Store and Google Play. Two researchers examined and coded the apps to identify the persuasive features employed within each category using the Persuasive Systems Design (PSD) Framework, while a third researcher participated in discussions to resolve discrepancies. Kendall's Rank Correlation Coefficient was performed to determine the relationship between persuasive features and effectiveness. RESULTS: Trustworthiness (n = 81), Liking (n = 78), Surface credibility (n = 71), Reminders (n = 63), and Reduction (n = 57) were the most widely implemented persuasive features. Dialogue support and system credibility support features were heavily used across different app types, while social support features were less commonly employed, particularly in mental health apps. A positive correlation was found between Surface credibility, Trustworthiness, Liking, Reminders, Self-monitoring, Expertise features and apps' effectiveness. CONCLUSION: Through a cross-domain analysis using the PSD framework to investigate persuasive feature implementations, the findings from this study offer design suggestions to create innovative and effective mobile apps promoting mental well-being.

Nodal Low-Grade B-Cell Lymphoma Co-Expressing CD5 and CD10 but Not CD23, IRTA1, or Cyclin D1: The Diagnostic Challenge of a Splenic Marginal Zone Lymphoma.

The diagnosis of lymphoma is based on histopathological and immunophenotypical features. CD5 and CD10 are traditionally considered a T-cell antigen and a germinal center B-cell antigen, respectively. It is very unusual for a low-grade B-cell lymphoma (BCL) to co-express CD5 and CD10. Although the biologic basis or clinical significance of such co-expression is unclear, this rare event may pose a significant diagnostic challenge. Here, we report a case of a 63-year-old male presenting with bilateral cervical lymphadenopathy and lymphocytosis. Histologically, the nodal tumor was largely diffuse with neoplastic small atypical lymphocytes co-expressing CD5, CD10, and CD20, but not CD23 or cyclin D1. The leukemic cells in the peripheral blood exhibited hairy projections. Taking together the marked splenomegaly, involvement of lymph nodes, bone marrow, and peripheral blood, a final diagnosis of splenic marginal zone lymphoma (SMZL) was reached. The patient was alive with partial response for 10 months after immunochemotherapy. The dual expression of CD5 and CD10 is extremely unusual for low-grade BCL and may lead to an erroneous diagnosis. Integrating the findings into peripheral blood smear tests, flow cytometry, histopathology, imaging, and clinical features is mandatory to exclude other lymphoma types and to reach a correct diagnosis, particularly for a case with nodal presentation.

Medication Adherence Support Applications for Chronic Arthritis Patients: Healthcare Providers' Perspective in Saudi Arabia.

Mobile health applications provide chronic disease patients with different capabilities and resources to support medication adherence. The study aims to understand the health care providers' (HCP) perceptions and recommendations about the design features and content of medication adherence support apps for individuals with chronic arthritis conditions in Saudi Arabia. Individual interviews were conducted with ten participants, such as rheumatologists, health educators, pharmacists, informaticians, and representatives from the Saudi Arthritis Association. The thematic analysis is utilised to code data and develop themes that help researchers in the design process. Four themes are identified: informational content, utilitarian, motivational, and socialisation features. The app content should improve arthritis patient awareness about medication management and adherence. Provide features that enable patients to set medication management and self-monitoring goals. The application design should be trustworthy, usable, enjoyable, and accessible for a diverse group of patients and respect patient privacy.

Empirical Evidence of Internal and External Factors Influencing Users' Motivation Toward Teleconsultation Use.

Introduction: The use of teleconsultation systems has increased in recent years, which has improved patients' access to health care providers and enabled seamless interaction between them. The literature points out several factors that either facilitate or impede the use of teleconsultation. However, there is a lack of studies that provide empirical evidence of factors that influence consumers' motivation toward the use of teleconsultation systems. Aim and Objective: This study aimed to provide empirical evidence of the internal and external factors that influence consumers' motivation toward the use of teleconsultation systems. Methods: A cross-sectional survey was used to collect data from consumers who used a real-time teleconsultation system called the Sehha application in Saudi Arabia between March 13 and June 14, 2021. SPSS 27.0.1 was used for descriptive analysis. Results: Four hundred eighty-five participants completed the survey, 471 of whom were included in the analysis. The findings confirmed that internal and external factors exert an influence on consumers' motivation toward the use of teleconsultation systems. The findings indicated that the presence of factors such as saving time, saving cost, accessibility to health care, ease-of-use, reliable internet access, availability of devices, and appropriate places during the online connection would increase consumers' motivation toward teleconsultation systems use. Also, the findings indicated that users' familiarity with systems similar to teleconsultation systems, users' perception of teleconsultation convenience, the influence of others on users' decision to use teleconsultation, and user's skills and confidence in using teleconsultation easily, and their trust in the teleconsultation system would also increase their motivation to use it. Furthermore, the findings showed that demographic factors, including age, gender, level of education, and employment status, did not influence users' motivation toward the use of teleconsultation Conclusions: This study provided empirical evidence of a variety of internal and external factors that exert an influence on consumers' motivation toward the use of teleconsultation systems.

Synergistic N2-fixation and salt stress mitigation in soybean through dual inoculation of ACC deaminase-producing Pseudomonas and Bradyrhizobium.

We investigated the potential dual application of two Bradyrhizobium strains (B. diazoefficiens USDA110 and B. ottawaense SG09) and plant growth-promoting bacteria, PGPB (Pseudomonas spp.: OFT2 and OFT5), to improve nodulation and N2-fixation in soybean plants. The growth-promoting effects of dual inoculation were observed on plant growth, physiology, and nodulation of soybean under normal conditions compared with plants individually inoculated with either USDA110 or SG09. Both OFT2 and OFT5 promoted N2-fixation by 11% and 56%, respectively, when dual inoculation with USDA110 and by 76% and 81%, respectively, when dual inoculation with SG09. Salinity stress significantly reduces soybean growth, physiology, nutrient uptake, nodulation, and N2-fixation. However, these adverse effects were attenuated by the dual inoculation of PGPB and rhizobia depending on the combination of inoculants. In particular, dual inoculation of PGPB with SG09 was more effective in enhancing the salt tolerance of soybean by reducing salt-induced ethylene production and improving nutrient uptake. However, no such effect was observed with the combined inoculation of USDA110 and OFT5. An effective symbiotic association between SG09 and two Pseudomonas bacteria can be considered a beneficial approach to improving the symbiotic efficiency of nodulation and mitigating salinity stress in soybeans.

Smartphone application use patterns for mental health disorders: A systematic literature review and meta-analysis.

BACKGROUND: Mobile mental health applications play a significant role in mental health care to fill gaps in care for mental disorders. Despite the growth in mobile phone apps for mental health conditions, patients' mental health smartphone application use, perceived usefulness, and future interest in using apps for mental disorders have not been systematically examined. METHODS: The authors designed and conducted this systematic review and meta-analysis according to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) statement. Articles reporting mobile/smartphone applications used for mental disorders describing ownership, application use, perceived helpfulness, future interest to use, use patterns, and attitudes were included. PubMed/MEDLINE, EMBASE, PsychINFO, Scopus, and Google Scholar were searched. Published articles from 2014 up to October 2022 were included. The methodological quality was assessed using the Joanna Briggs Institute critical appraisal tool. The heterogeneity test, publication bias, funnel plots and Egger's test were applied. The outcome was calculated by metaprop command using a random-effects model. RESULTS: Ten studies met the eligibility criteria. The pooled prevalence of smartphone ownership, application use for current mental health disorders, perceived usefulness, and future interest in using the app for their mental health problem was 88.63%, 23.29%, 72.80%, and 78.97%, respectively. Heterogeneity and publication bias were detected. CONCLUSIONS: The results of this study indicate that despite a considerable number of smartphone users, perceived usefulness, and future interest in using smartphone mental health applications among patients with mental disorders, only about one-fifth use an application for mental health disorders. The results show that there is a large potential to increase the use of apps for patients to support self-care in the growing era of digital mental health. Further research with consumers and mental health professionals is recommended to address barriers and improve mhealth app utilization. REGISTRATION: Prospero international prospective register of systematic reviews with ID: CRD42022359416.

Predicting lung cancer survival based on clinical data using machine learning: A review.

Machine learning has gained popularity in predicting survival time in the medical field. This review examines studies utilizing machine learning and data-mining techniques to predict lung cancer survival using clinical data. A systematic literature review searched MEDLINE, Scopus, and Google Scholar databases, following reporting guidelines and using the COVIDENCE system. Studies published from 2000 to 2023 employing machine learning for lung cancer survival prediction were included. Risk of bias assessment used the prediction model risk of bias assessment tool. Thirty studies were reviewed, with 13 (43.3%) using the surveillance, epidemiology, and end results database. Missing data handling was addressed in 12 (40%) studies, primarily through data transformation and conversion. Feature selection algorithms were used in 19 (63.3%) studies, with age, sex, and N stage being the most chosen features. Random forest was the predominant machine learning model, used in 17 (56.6%) studies. While the number of lung cancer survival prediction studies is limited, the use of machine learning models based on clinical data has grown since 2012. Consideration of diverse patient cohorts and data pre-processing are crucial. Notably, most studies did not account for missing data, normalization, scaling, or standardized data, potentially introducing bias. Therefore, a comprehensive study on lung cancer survival prediction using clinical data is needed, addressing these challenges.

A Novel Mobile App for Personalized Dietary Advice Leveraging Persuasive Technology, Computer Vision, and Cloud Computing: Development and Usability Study.

BACKGROUND: The Australian Dietary Guidelines (ADG) translate the best available evidence in nutrition into food choice recommendations. However, adherence to the ADG is poor in Australia. Given that following a healthy diet can be a potentially cost-effective strategy for lowering the risk of chronic diseases, there is an urgent need to develop novel technologies for individuals to improve their adherence to the ADG. OBJECTIVE: This study describes the development process and design of a prototype mobile app for personalized dietary advice based on the ADG for adults in Australia, with the aim of exploring the usability of the prototype. The goal of the prototype was to provide personalized, evidence-based support for self-managing food choices in real time. METHODS: The guidelines of the design science paradigm were applied to guide the design, development, and evaluation of a progressive web app using Amazon Web Services Elastic Compute Cloud services via iterations. The food layer of the Nutrition Care Process, the strategies of cognitive behavioral theory, and the ADG were translated into prototype features guided by the Persuasive Systems Design model. A gain-framed approach was adopted to promote positive behavior changes. A cross-modal image-to-recipe retrieval model under an Apache 2.0 license was deployed for dietary assessment. A survey using the Mobile Application Rating Scale and semistructured in-depth interviews were conducted to explore the usability of the prototype through convenience sampling (N=15). RESULTS: The prominent features of the prototype included the use of image-based dietary assessment, food choice tracking with immediate feedback leveraging gamification principles, personal goal setting for food choices, and the provision of recipe ideas and information on the ADG. The overall prototype quality score was "acceptable," with a median of 3.46 (IQR 2.78-3.81) out of 5 points. The median score of the perceived impact of the prototype on healthy eating based on the ADG was 3.83 (IQR 2.75-4.08) out of 5 points. In-depth interviews identified the use of gamification for tracking food choices and innovation in the image-based dietary assessment as the main drivers of the positive user experience of using the prototype. CONCLUSIONS: A novel evidence-based prototype mobile app was successfully developed by leveraging a cross-disciplinary collaboration. A detailed description of the development process and design of the prototype enhances its transparency and provides detailed insights into its creation. This study provides a valuable example of the development of a novel, evidence-based app for personalized dietary advice on food choices using recent advancements in computer vision. A revised version of this prototype is currently under development.

Cultural and linguistic appropriateness of a web-based breastfeeding educational resource for Saudi women: Consensus development conference approach.

AIM: The purpose of this study was to investigate the cultural and linguistic appropriateness of the content, images and layout of the web-based breastfeeding educational resource for Saudi women using a consensus development approach. BACKGROUND: Although the World Health Organization highly recommends exclusive breastfeeding, there is a decline in breastfeeding rates in Saudi Arabia, especially during hospital stay. The combining of health professional support with e-technology tools has been proposed as a method to increase exclusive breastfeeding. However, the cultural and linguistic appropriateness of an e-technology-based approach has not been explored in Saudi women. METHODS: After developing a content draft of the web-based breastfeeding educational resource specific to Saudi culture, an online consensus development conference was organised with ten participants including two university researchers and eight health care providers to investigate the cultural and linguistic appropriateness of the educational content. The participants from Saudi Arabia were Saudi mothers who had breastfeeding experiences and were key maternity health professionals employed at the Maternity and Children Hospital of Dammam, Saudi Arabia. The SQUIRE checklist was used in the reporting of this study. RESULTS: Feedback received prior to the meeting showed that 81% of the content was acceptable and minor changes were required. Changes were made to the content based on the suggestions and feedback received. The consensus group accepted all the changes and the content was finalised. CONCLUSIONS: The online consensus development conference was found to be a very convenient way to decide on the cultural and linguistic appropriateness of the content of the web-based breastfeeding educational resource allowing the participation of experts from different countries; this was considered a critical step in ensuring the successful implementation of the intervention.

Global prevalence of non-alcoholic fatty liver disease in type 2 diabetes mellitus: an updated systematic review and meta-analysis.

INTRODUCTION: Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease, with type 2 diabetes mellitus (T2DM) as a major predictor. Insulin resistance and chronic inflammation are key pathways in the pathogenesis of T2DM leading to NAFLD and vice versa, with the synergistic effect of NAFLD and T2DM increasing morbidity and mortality risks. This meta-analysis aims to quantify the prevalence of NAFLD and the prevalence of clinically significant and advanced fibrosis in people with T2DM. METHODS: MEDLINE and Embase databases were searched from inception until 13 February 2023. The primary outcomes were the prevalence of NAFLD, non-alcoholic steatohepatitis (NASH) and fibrosis in people with T2DM. A generalised linear mixed model with Clopper-Pearson intervals was used for the analysis of proportions with sensitivity analysis conducted to explore heterogeneity between studies. RESULTS: 156 studies met the inclusion criteria, and a pooled analysis of 1 832 125 patients determined that the prevalence rates of NAFLD and NASH in T2DM were 65.04% (95% CI 61.79% to 68.15%, I2=99.90%) and 31.55% (95% CI 17.12% to 50.70%, I2=97.70%), respectively. 35.54% (95% CI 19.56% to 55.56%, I2=100.00%) of individuals with T2DM with NAFLD had clinically significant fibrosis (F2-F4), while 14.95% (95% CI 11.03% to 19.95%, I2=99.00%) had advanced fibrosis (F3-F4). CONCLUSION: This study determined a high prevalence of NAFLD, NASH and fibrosis in people with T2DM. Increased efforts are required to prevent T2DM to combat the rising burden of NAFLD. PROSPERO REGISTRATION NUMBER: CRD42022360251.

Rhizosphere frame system enables nondestructive live-imaging of legume-rhizobium interactions in the soil.

Most plants interact with various soil microorganisms as they grow through the soil. Root nodule symbiosis by legumes and rhizobia is a well-known phenomenon of plant-microbe interactions in the soil. Although microscopic observations are useful for understanding the infection processes of rhizobia, nondestructive observation methods have not been established for monitoring interactions between rhizobia and soil-grown roots. In this study, we constructed Bradyrhizobium diazoefficiens strains that constitutively express different fluorescent proteins, which allows identification of tagged rhizobia by the type of fluorophores. In addition, we constructed a plant cultivation device, Rhizosphere Frame (RhizoFrame), which is a soil-filled container made of transparent acrylic plates that allows observation of roots growing along the acrylic plates. Combining fluorescent rhizobia with RhizoFrame, we established a live imaging system, RhizoFrame system, that enabled us to track the nodulation processes with fluorescence stereomicroscope while retaining spatial information about roots, rhizobia, and soil. Mixed inoculation with different fluorescent rhizobia using RhizoFrame enabled the visualization of mixed infection of a single nodule with two strains. In addition, observation of transgenic Lotus japonicus expressing auxin-responsive reporter genes indicated that RhizoFrame system could be used for a real-time and nondestructive reporter assay. Thus, the use of RhizoFrame system is expected to enhance the study of the spatiotemporal dynamics of plant-microbe interactions in the soil.

Seed phytic acid concentration affects rice seedling vigor irrespective of soil phosphorus bioavailability.

Rice with a black-colored pericarp (hereafter, black rice) is well-known as an antioxidant-rich food, but a high grain phytic acid (PA) concentration affects its nutritional quality. However, phytic acid helps improve seedling vigor, which is crucial for enhancing subsequent plant growth. This study investigated the effect of seed phytic acid concentration in black rice on seedling vigor compared to the effects on white rice. In the first experiment, three phytic acid concentrations in the seeds of black rice, low (LPA, 15.5 mg g-1 per seed), medium (MPA, 24.7 mg g-1 per seed), and high (HPA, 35.4 mg g-1 per seed) were tested for seedling vigor in phosphorus-deficient soils. The HPA seedlings showed substantially increased seedling vigor and shoot P uptake due to early root development and enhanced physiological processes. LPA grown seedlings showed increased ethylene production in response to P stress, which is the main physiological mechanism modulating seedling growth under P stress conditions. In the second experiment, the three phytic acid concentrations in black and white rice seeds were tested under low and high soil P conditions. Again, LPA seedlings showed significantly reduced seedling vigor in both rice varieties in P-deficient soils. Interestingly, seed phytic acid and external P application had an additive effect on seedling vigor, suggesting that the combined effect further improved seedling growth. Our results reveal that black rice seeds with a HPA concentration can be used as a seed source for planting in P-deficient ecosystems for rice plants as they can increase seedling vigor and subsequent growth, thus reducing dependence on finite P resources.

Mobile apps used for people living with multiple sclerosis: A scoping review.

BACKGROUND: Multiple Sclerosis (MS) is a chronic neurodegenerative disorder. People living with MS (plwMS) require long-term, multidisciplinary care in both clinical and community settings. MS-specific mHealth interventions have advanced in the form of clinical treatments, rehabilitation, disease monitoring and self-management of disease. However, mHealth interventions for plwMS appear to have limited proof of clinical efficacy. As native mobile apps target specific mobile operating systems, they tend to have better interactive designs leveraging platform-specific guidelines. Thus, to improve such efficacy, it is pivotal to explore the design characteristics of native mobile apps used for plwMS. OBJECTIVES: This study aimed to explore the design characteristics of native mobile apps used for adults living with MS in academic settings. METHODS: A scoping review of studies was conducted. A literature search was performed through PubMed, CINAHL, MEDLINE and Cochrane Library. Per native mobile apps, characteristics, persuasive technology elements and evaluations were summarized. RESULTS: A total of 14 native mobile apps were identified and 43% of the identified apps were used for data collection (n=6). Approximately 70% of the included apps involved users (plwMS) whilst developing (n=10). A total of three apps utilized embedded sensors. Videos or photos were used for physical activity interventions (n=2) and gamification principles were applied for cognitive and/or motor rehabilitation interventions (n=3). Behavior change theories were integrated into the design of the apps for fatigue management and physical activity. Regarding persuasive technology, the design principles of primary support were applied across all identified apps. The elements of dialogue support and social support were the least applied. The methods for evaluating the identified apps were varied. CONCLUSION: The findings suggest that the identified apps were in the early stages of development and had a user-centered design. By applying the persuasive systems design model, interaction design qualities and features of the identified mobile apps in academic settings were systematically evaluated at a deeper level. Identifying the digital functionality and interface design of mobile apps for plwMS will help researchers to better understand interactive design and how to incorporate these concepts in mHealth interventions for improvement of clinical efficacy.

Orf Infection on the Scalp of a Taiwanese Woman: A Case Report and Literature Review.

BACKGROUND: Orf, or ecthyma contagiosum, is a zoonosis caused by Parapoxvirus that infects sheep and goats. Human transmission typically occurs in persons in contact with the infected animals or contaminated fomites and environment. In humans, it generally occurs as solitary or multiple skin lesions on the hands or fingers. Involvement of the head region has rarely been reported. CASE PRESENTATION: We report an unusual case with multiple orf lesions on the scalp of a middle-aged woman, along with a review of previously reported Orf cases on the head region. CONCLUSIONS: Although Orf infection rarely happens on the head region, it should be considered in the differential diagnosis of cases with relevant animal exposure.

Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence: a qualitative study of multidisciplinary expert perspectives.

BACKGROUND: There is a growing concern about artificial intelligence (AI) applications in healthcare that can disadvantage already under-represented and marginalised groups (eg, based on gender or race). OBJECTIVES: Our objectives are to canvas the range of strategies stakeholders endorse in attempting to mitigate algorithmic bias, and to consider the ethical question of responsibility for algorithmic bias. METHODOLOGY: The study involves in-depth, semistructured interviews with healthcare workers, screening programme managers, consumer health representatives, regulators, data scientists and developers. RESULTS: Findings reveal considerable divergent views on three key issues. First, views on whether bias is a problem in healthcare AI varied, with most participants agreeing bias is a problem (which we call the bias-critical view), a small number believing the opposite (the bias-denial view), and some arguing that the benefits of AI outweigh any harms or wrongs arising from the bias problem (the bias-apologist view). Second, there was a disagreement on the strategies to mitigate bias, and who is responsible for such strategies. Finally, there were divergent views on whether to include or exclude sociocultural identifiers (eg, race, ethnicity or gender-diverse identities) in the development of AI as a way to mitigate bias. CONCLUSION/SIGNIFICANCE: Based on the views of participants, we set out responses that stakeholders might pursue, including greater interdisciplinary collaboration, tailored stakeholder engagement activities, empirical studies to understand algorithmic bias and strategies to modify dominant approaches in AI development such as the use of participatory methods, and increased diversity and inclusion in research teams and research participant recruitment and selection.

Prevalence and Predictors of Knowledge and Attitudes Toward Eye Donation Among the General Population: A Systematic Review.

PURPOSE: The purpose of this systematic review was to investigate knowledge and attitudes toward eye donation and sources of eye donation information among the general population. METHODS: A search was conducted using MEDLINE through Ovid and Scopus; CINAHL through EBSCOhost and ProQuest; and Embase through Ovid database entries from January 2010 to March 2021. Quantitative studies were selected if they included participants aged 16 years or older from the general population (nonhealthcare) and had a sample size of >200. Studies were included if they measured knowledge and attitudes toward eye donation and sources of eye donation information. Methodological quality was assessed using JBI criteria, and the data were analyzed using SUMARI software. RESULTS: A total of 25 studies were included in this review. Pooled data from 6 studies demonstrated that 30.8% of participants [95% confidence interval (CI) = 11.0-55.4] had some knowledge of eye donation. Seventeen studies reported that 40.6% (95% CI = 39.8-41.3) were willing to donate their eyes, and 5 of these studies found that 7.3% (95% CI = 6.5-8.3) had already pledged their eyes. Eleven studies reported on the source of eye donation information, indicating 50.9% of participants (95% CI = 49.8-52.1) received information from mass media. CONCLUSIONS: The results of this review indicate that understanding eye donation knowledge and attitudes is crucial for developing interventions or tools to increase eye donation rates. Further studies in different populations are required.

Persuasive features for patient engagement through mHealth applications in managing chronic conditions: A systematic literature review and meta-analysis.

Patient engagement is currently considered the cornerstone of a revolution in healthcare for its positive impact on health outcomes, health behaviors and healthcare costs. Patient engagement is focused on personalized care to consumers through providing knowledge, skills and confidence. Mobile health (mHealth) applications are an innovative means to facilitate patient engagement. Nevertheless, the extent to which the current mHealth applications are designed to engage patients in managing their chronic diseases is unclear. This paper aims to identify the Persuasive System Design (PSD) features present in current mHealth applications that increased the engagement of patients with chronic diseases. This review also aims to identify patient engagement-related outcomes of these features. This paper conducted a systematic literature review and meta-analysis to find relevant studies published from all years up to 2020 through six databases: PubMed, Scopus, Web of Science, Cinahl plus with full text, MEDLINE with full text, and Cochrane Library (Central register of controlled trials). The database search returned 4939 articles; after applying the inclusion and exclusion criteria, the number of included articles for the final review was 13. A qualitative content analysis was performed to identify PSD model features and their patient engagement-related outcomes. The quality assessment has been done through the Cochrane Risk of Bias tool for RCTs. The systematic literature review and meta-analysis identified eleven PSD features that can increase patient engagement through using mHealth applications. The identified PSD features have been shown to have various patient engagement-related outcomes. Behavior Change Techniques (BCTs) were combined with the identified PSD features. This paper identified persuasive features of mHealth application design that influence the engagement of patients with chronic diseases toward changing their behavior. The impact of these features is also analyzed in this review. The results show that an mHealth technology-mediated patient engagement model is needed.

mHealth Apps Targeting Obesity and Overweight in Young People: App Review and Analysis.

BACKGROUND: Overweight and obesity have been linked to several serious health problems and medical conditions. With more than a quarter of the young population having weight problems, the impacts of overweight and obesity on this age group are particularly critical. Mobile health (mHealth) apps that support and encourage positive health behaviors have the potential to achieve better health outcomes. These apps represent a unique opportunity for young people (age range 10-24 years), for whom mobile phones are an indispensable part of their everyday living. However, despite the potential of mHealth apps for improved engagement in health interventions, user adherence to these health interventions in the long term is low. OBJECTIVE: The aims of this research were to (1) review and analyze mHealth apps targeting obesity and overweight and (2) propose guidelines for the inclusion of user interface design patterns (UIDPs) in the development of mHealth apps for obese young people that maximizes the impact and retention of behavior change techniques (BCTs). METHODS: A search for apps was conducted in Google Play Store using the following search string: ["best weight loss app for obese teens 2020"] OR ["obesity applications for teens"] OR ["popular weight loss applications"]. The most popular apps available in both Google Play and Apple App Store that fulfilled the requirements within the inclusion criteria were selected for further analysis. The designs of 17 mHealth apps were analyzed for the inclusion of BCTs supported by various UIDPs. Based on the results of the analysis, BCT-UI design guidelines were developed. The usability of the guidelines was presented using a prototype app. RESULTS: The results of our analysis showed that only half of the BCTs are implemented in the reviewed apps, with a subset of those BCTs being supported by UIDPs. Based on these findings, we propose design guidelines that associate the BCTs with UIDPs. The focus of our guidelines is the implementation of BCTs using design patterns that are impactful for the young people demographics. The UIDPs are classified into 6 categories, with each BCT having one or more design patterns appropriate for its implementation. The applicability of the proposed guidelines is presented by mock-ups of the mHealth app "Morphe," intended for young people (age range 10-24 years). The presented use cases showcase the 5 main functionalities of Morphe: learn, challenge, statistics, social interaction, and settings. CONCLUSIONS: The app analysis results showed that the implementation of BCTs using UIDPs is underutilized. The purposed guidelines will help developers in designing mHealth apps for young people that are easy to use and support behavior change. Future steps involve the development and deployment of the Morphe app and the validation of its usability and effectiveness.

A Meta-analysis on Associated Risk of Mortality in Nonalcoholic Fatty Liver Disease.

OBJECTIVE: Nonalcoholic fatty liver disease (NAFLD) affects much of the worldwide population and poses a significant burden to the global healthcare. The rising numbers of individuals with NAFLD and instances of mortality point toward the importance of understanding the association causes of mortality in NAFLD. This meta-analysis aimed to seek the associations of NAFLD with all-cause, cardiovascular disease (CVD)-related, liver-related, and cancer-related mortality. METHODS: MEDLINE and Embase were searched for articles relating to causes of mortality between NAFLD and non-NAFLD. The DerSimonian and Laird random-effects model was used to analyze adjusted hazard ratios (HR), and a sensitivity analysis was conducted to reduce heterogeneity through a graphical display of study heterogeneity. RESULTS: Fifteen studies involving 10 286 490 patients were included. Individuals with NAFLD exhibited an increased risk of all-cause mortality (HR, 1.32; 95% CI, 1.09-1.59; P < .01; I2 = 96.00%), CVD-related mortality (HR, 1.22; 95% CI, 1.06-1.41; P < .01; I2 = 81.00%), and cancer-related mortality (HR, 1.67; 95% CI, 1.15-2.41; P < .01; I2 = 95.00%). However, no significant association was found between liver-related mortality and NAFLD (HR, 3.58; 95% CI, 0.69-18.46; P =.13; I2 = 96.00%). The sensitivity analysis conducted with graphic display of heterogeneity and only population-based studies found similar results. CONCLUSION: NAFLD was associated with an increased risk of all-cause, CVD-related, and cancer-related mortality but not liver-related mortality. The finding is likely because of low fibrosis prevalence in the community. However, the significant burden in other causes of mortality beyond the liver points to a need for multidisciplinary efforts to reduce the mortality risks.