Evaluating the World Health Organization's SkinNTDs App as a Training Tool for Skin Neglected Tropical Diseases in Ghana and Kenya: Cross-Sectional Study.

BACKGROUND: Neglected tropical diseases (NTDs) affect over 1.5 billion people worldwide, primarily impoverished populations in low- and middle-income countries. Skin NTDs, a significant subgroup, manifest primarily as skin lesions and require extensive diagnosis and treatment resources, including trained personnel and financial backing. The World Health Organization has introduced the SkinNTDs app, a mobile health tool designed to train and be used as a decision support tool for frontline health care workers. As most digital health guidelines prioritize the thorough evaluation of mobile health interventions, it is essential to conduct a rigorous and validated assessment of this app. OBJECTIVE: This study aims to assess the usability and user experience of World Health Organization SkinNTDs app (version 3) as a capacity-building tool and decision-support tool for frontline health care workers. METHODS: A cross-sectional study was conducted in Ghana and Kenya. Frontline health care workers dealing with skin NTDs were recruited through snowball sampling. They used the SkinNTDs app for at least 5 days before completing a web-based survey containing demographic variables and the user version of the Mobile Application Rating Scale (uMARS), a validated scale for assessing health apps. A smaller group of participants took part in semistructured interviews and one focus group. Quantitative data were analyzed using SPSS with a 95% CI and P≤.05 for statistical significance and qualitative data using ATLAS.ti to identify attributes, cluster themes, and code various dimensions that were explored. RESULTS: Overall, 60 participants participated in the quantitative phase and 17 in the qualitative phase. The SkinNTDs app scored highly on the uMARS questionnaire, with an app quality mean score of 4.02 (SD 0.47) of 5, a subjective quality score of 3.82 (SD 0.61) of 5, and a perceived impact of 4.47 (SD 0.56) of 5. There was no significant association between the app quality mean score and any of the categorical variables examined, according to Pearson correlation analysis; app quality mean score vs age (P=.37), sex (P=.70), type of health worker (P=.35), country (P=.94), work context (P=.17), frequency of dealing with skin NTDs (P=.09), and dermatology experience (P=.63). Qualitative results echoed the quantitative outcomes, highlighting the ease of use, the offline functionality, and the potential utility for frontline health care workers in remote and resource-constrained settings. Areas for improvement were identified, such as enhancing the signs and symptoms section. CONCLUSIONS: The SkinNTDs app demonstrates notable usability and user-friendliness. The results indicate that the app could play a crucial role in improving capacity building of frontline health care workers dealing with skin NTDs. It could be improved in the future by including new features such as epidemiological context and direct contact with experts. The possibility of using the app as a diagnostic tool should be considered. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/39393.

Methodological challenges in systematic reviews of mHealth interventions: Survey and consensus-based recommendations.

OBJECTIVE: Mobile Health (mHealth) refers to using mobile devices to support health. This study aimed to identify specific methodological challenges in systematic reviews (SRs) of mHealth interventions and to develop guidance for addressing selected challenges. STUDY DESIGN AND SETTING: Two-phase participatory research project. First, we sent an online survey to corresponding authors of SRs of mHealth interventions. On a five-category scale, survey respondents rated how challenging they found 24 methodological aspects in SRs of mHealth interventions compared to non-mHealth intervention SRs. Second, a subset of survey respondents participated in an online workshop to discuss recommendations to address the most challenging methodological aspects identified in the survey. Finally, consensus-based recommendations were developed based on the workshop discussion and subsequent interaction via email with the workshop participants and two external mHealth SR authors. RESULTS: We contacted 953 corresponding authors of mHealth intervention SRs, of whom 50 (5 %) completed the survey. All the respondents identified at least one methodological aspect as more or much more challenging in mHealth intervention SRs than in non-mHealth SRs. A median of 11 (IQR 7.25-15) out of 24 aspects (46 %) were rated as more or much more challenging. Those most frequently reported were: defining intervention intensity and components (85 %), extracting mHealth intervention details (71 %), dealing with dynamic research with evolving interventions (70 %), assessing intervention integrity (69 %), defining the intervention (66 %) and maintaining an updated review (65 %). Eleven survey respondents participated in the workshop (five had authored more than three mHealth SRs). Eighteen consensus-based recommendations were developed to address issues related to mHealth intervention integrity and to keep mHealth SRs up to date. CONCLUSION: mHealth SRs present specific methodological challenges compared to non-mHealth interventions, particularly related to intervention integrity and keeping SRs current. Our recommendations for addressing these challenges can improve mHealth SRs.

Dissemination Strategies for mHealth Apps: Systematic Review.

BACKGROUND: Among the millions of mobile apps in existence, thousands fall under the category of mobile health (mHealth). Although the utility of mHealth apps has been demonstrated for disease diagnosis, treatment data management, and health promotion strategies, to be effective they must reach and be used by their target audience. An appropriate marketing strategy can ensure that apps reach potential users and potentially convert them to actual users. Such a strategy requires definitions of target end users, communication channels, and advertising content, as well as a timeline for effectively reaching and motivating end users to adopt and maintain engagement with the mHealth app. OBJECTIVE: The aim of this study was to identify strategies and elements that ensure that end users adopt and remain engaged with mHealth apps. METHODS: A systematic search of the PubMed, PsycINFO, Scopus, and CINAHL databases was conducted for suitable studies published between January 1, 2018, and September 30, 2022. Two researchers independently screened studies for inclusion, extracted data, and assessed the risk of bias. The main outcome was dissemination strategies for mHealth apps. RESULTS: Of the 648 papers retrieved from the selected databases, only 10 (1.5%) met the inclusion criteria. The marketing strategies used in these studies to inform potential users of the existence of mHealth apps and motivate download included both paid and unpaid strategies and used various channels, including social media, emails, printed posters, and face-to-face communication. Most of the studies reported a combination of marketing concepts used to advertise their mHealth apps. Advertising messages included instructions on where and how to download and install the apps. In most of the studies (6/10, 60%), instructions were oriented toward how to use the apps and maintain engagement with a health intervention. The most frequently used paid marketing platform was Facebook Ads Manager (2/10, 20%). Advertising performance was influenced by many factors, including but not limited to advertising content. In 1 (10%) of the 10 studies, animated graphics generated the greatest number of clicks compared with other image types. The metrics used to assess marketing strategy effectiveness were number of downloads; nonuse rate; dropout rate; adherence rate; duration of app use; and app usability over days, weeks, or months. Additional indicators such as cost per click, cost per install, and clickthrough rate were mainly used to assess the cost-effectiveness of paid marketing campaigns. CONCLUSIONS: mHealth apps can be disseminated via paid and unpaid marketing strategies using various communication channels. The effects of these strategies are reflected in download numbers and user engagement with mHealth apps. Further research could provide guidance on a framework for disseminating mHealth apps and encouraging their routine use.

eHealth in the Management of Depressive Episodes in Catalonia's Primary Care From 2017 to 2022: Retrospective Observational Study.

BACKGROUND: The reasons for mental health consultations are becoming increasingly relevant in primary care. The Catalan health care system is undergoing a process of digital transformation, where eHealth is becoming increasingly relevant in routine clinical practice. OBJECTIVE: This study aimed to analyze the approach to depressive episodes and the role of eHealth in the Catalan health care system from 2017 to 2022. METHODS: A retrospective observational study was conducted on diagnostic codes related to depressive episodes and mood disorders between 2017 and 2022 using data from the Catalan Institute of Health. The sociodemographic evolution and prevalence of depression and mood disorders in Catalonia were analyzed between 2017 and 2022. Sociodemographic variables were analyzed using absolute frequency and percentage. The prevalence of depressive episodes was calculated, highlighting the year-to-year changes. The use of eHealth for related consultations was assessed by comparing the percentages of eHealth and face-to-face consultations. A comparison of sociodemographic variables based on attendance type was conducted. Additionally, a logistic regression model was used to explore factors influencing face-to-face attendance. The analysis used R software (version 4.2.1), with all differences examined using 95% CIs. RESULTS: From 2017 to 2022, there was an 86.6% increase in the prevalence of depression and mood disorders, with women consistently more affected (20,950/31,197, 67.2% in 2017 and 22,078/33,169, 66.6% in 2022). In 2022, a significant rise in depression diagnoses was observed in rural areas (difference 0.71%, 95% CI 0.04%-1.43%), contrasting with a significant decrease in urban settings (difference -0.7%, 95% CI -1.35% to -0.05%). There was a significant increase in antidepressant use in 2022 compared to 2017 (difference 2.4%, 95% CI 1.87%-3.06%) and the proportion of eHealth visits rose from 4.34% (1240/28,561) in 2017 to 26.3% (8501/32,267) in 2022. Logistic regression analysis indicated that men (odds ratio [OR] 1.06, 95% CI 1.04-1.09) and younger individuals had a higher likelihood of eHealth consultations in 2022. Furthermore, individuals using eHealth consultations were more likely to use antidepressants (OR 1.54, 95% CI 1.50-1.57) and anxiolytics (OR 1.06, 95% CI 1.03-1.09). CONCLUSIONS: The prevalence of depression in Catalonia has significantly increased in the last 6 years, likely influenced by the COVID-19 pandemic. Despite ongoing digital transformation since 2011, eHealth usage remained limited as of 2017. During the lockdown period, eHealth accounted for nearly half of all health care consultations, representing a quarter of consultations by 2022. In the immediate aftermath of the COVID-19 pandemic, emerging evidence suggests a significant role of eHealth in managing depression-related consultations, along with an apparent likelihood of patients being prescribed antidepressants and anxiolytics. Further research is needed to understand the long-term impact of eHealth on diagnostic practices and medication use.

Mobile applications to prescribe physical exercise in frail older adults: review of the available tools in app stores.

INTRODUCTION: Different remote interventions, such as applications (apps), have been used to continue promoting healthy ageing and preventing disability during the COVID-19 pandemic. The growing trend of apps in health is exponential and may facilitate scaling up physical activity prescription. Numerous tools are available, but little is known regarding their appropriateness, validation and recommendation, especially for frail older adults. METHODS: In-house, we developed an application that makes both the Apple app Store and the Google Play Store searchable using topic-related keywords and facilitates the extraction of basic app-information of the search results. The study was aimed at apps available to an English-speaking market. The resulting apps were filtered using various inclusion and exclusion criteria. The resultant apps underwent a more in-depth characterisation and searches for scientific publications on each app website and PubMed. RESULTS: From an initial search result of >2,800 apps, 459 met the initial inclusion criteria. After a more in-depth review of their features, 39 apps remained for possible app in older frail patients. After testing them, 22 apps were excluded. Seventeen apps fit the inclusion and exclusion criteria and were deemed appropriate after peer review. Of these, only one app, Vivifrail, had any type of publication/published evidence. CONCLUSION: Apps can be valuable tool in prescribing exercise for frail older adults living in the community. However, few apps seem useful on a large scale, and there is limited evidence to support their effectiveness. It is important to invest in adapting Information and Communication Technologies to this population group.

Efficacy, Safety, and Evaluation Criteria of mHealth Interventions for Depression: Systematic Review.

BACKGROUND: Depression is a significant public health issue that can lead to considerable disability and reduced quality of life. With the rise of technology, mobile health (mHealth) interventions, particularly smartphone apps, are emerging as a promising approach for addressing depression. However, the lack of standardized evaluation tools and evidence-based principles for these interventions remains a concern. OBJECTIVE: In this systematic review and meta-analysis, we aimed to evaluate the efficacy and safety of mHealth interventions for depression and identify the criteria and evaluation tools used for their assessment. METHODS: A systematic review and meta-analysis of the literature was carried out following the recommendations of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. Studies that recruited adult patients exhibiting elevated depressive symptoms or those diagnosed with depressive disorders and aimed to assess the effectiveness or safety of mHealth interventions were eligible for consideration. The primary outcome of interest was the reduction of depressive symptoms, and only randomized controlled trials (RCTs) were included in the analysis. The risk of bias in the original RCTs was assessed using version 2 of the Cochrane risk-of-bias tool for randomized trials. RESULTS: A total of 29 RCTs were included in the analysis after a comprehensive search of electronic databases and manual searches. The efficacy of mHealth interventions in reducing depressive symptoms was assessed using a random effects meta-analysis. In total, 20 RCTs had an unclear risk of bias and 9 were assessed as having a high risk of bias. The most common element in mHealth interventions was psychoeducation, followed by goal setting and gamification strategies. The meta-analysis revealed a significant effect for mHealth interventions in reducing depressive symptoms compared with nonactive control (Hedges g=-0.62, 95% CI -0.87 to -0.37, I2=87%). Hybrid interventions that combined mHealth with face-to-face sessions were found to be the most effective. Three studies compared mHealth interventions with active controls and reported overall positive results. Safety analyses showed that most studies did not report any study-related adverse events. CONCLUSIONS: This review suggests that mHealth interventions can be effective in reducing depressive symptoms, with hybrid interventions achieving the best results. However, the high level of heterogeneity in the characteristics and components of mHealth interventions indicates the need for personalized approaches that consider individual differences, preferences, and needs. It is also important to prioritize evidence-based principles and standardized evaluation tools for mHealth interventions to ensure their efficacy and safety in the treatment of depression. Overall, the findings of this study support the use of mHealth interventions as a viable method for delivering mental health care. TRIAL REGISTRATION: PROSPERO CRD42022304684; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=304684.

The relationship between patient empowerment and related constructs, affective symptoms and quality of life in patients with type 2 diabetes: a systematic review and meta-analysis.

Introduction: The aim of this systematic review is to assess the relationship between patient empowerment and other empowerment-related constructs, and affective symptoms and quality of life in patients with type 2 diabetes. Methods: A systematic review of the literature was conducted, according to the PRISMA guidelines. Studies addressing adult patients with type 2 diabetes and reporting the association between empowerment-related constructs and subjective measures of anxiety, depression and distress, as well as self-reported quality of life were included. The following electronic databases were consulted from inception to July 2022: Medline, Embase, PsycINFO, and Cochrane Library. The methodological quality of the included studies was analyzed using validated tools adapted to each study design. Meta-analyses of correlations were performed using an inverse variance restricted maximum likelihood random-effects. Results: The initial search yielded 2463 references and seventy-one studies were finally included. We found a weak-to-moderate inverse association between patient empowerment-related constructs and both anxiety (r = -0.22) and depression (r = -0.29). Moreover, empowerment-related constructs were moderately negatively correlated with distress (r = -0.31) and moderately positively correlated with general quality of life (r = 0.32). Small associations between empowerment-related constructs and both mental (r = 0.23) and physical quality of life (r = 0.13) were also reported. Discussion: This evidence is mostly from cross-sectional studies. High-quality prospective studies are needed not only to better understand the role of patient empowerment but to assess causal associations. The results of the study highlight the importance of patient empowerment and other empowerment-related constructs such as self-efficacy or perceived control in diabetes care. Thus, they should be considered in the design, development and implementation of effective interventions and policies aimed at improving psychosocial outcomes in patients with type 2 diabetes. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020192429, identifier CRD42020192429.

Correction: Evaluation Criteria for Weight Management Apps: Validation Using a Modified Delphi Process.

[This corrects the article DOI: 10.2196/16899.].

Correction: Assessment of the Efficacy, Safety, and Effectiveness of Weight Control and Obesity Management Mobile Health Interventions: Systematic Review.

[This corrects the article DOI: 10.2196/12612.].

APPRAISE-RS: Automated, updated, participatory, and personalized treatment recommender systems based on GRADE methodology.

Purpose: Clinical practice guidelines (CPGs) have become fundamental tools for evidence-based medicine (EBM). However, CPG suffer from several limitations, including obsolescence, lack of applicability to many patients, and limited patient participation. This paper presents APPRAISE-RS, which is a methodology that we developed to overcome these limitations by automating, extending, and iterating the methodology that is most commonly used for building CPGs: the GRADE methodology. Method: APPRAISE-RS relies on updated information from clinical studies and adapts and automates the GRADE methodology to generate treatment recommendations. APPRAISE-RS provides personalized recommendations because they are based on the patient's individual characteristics. Moreover, both patients and clinicians express their personal preferences for treatment outcomes which are considered when making the recommendation (participatory). Rule-based system approaches are used to manage heuristic knowledge. Results: APPRAISE-RS has been implemented for attention deficit hyperactivity disorder (ADHD) and tested experimentally on 28 simulated patients. The resulting recommender system (APPRAISE-RS/TDApp) shows a higher degree of treatment personalization and patient participation than CPGs, while recommending the most frequent interventions in the largest body of evidence in the literature (EBM). Moreover, a comparison of the results with four blinded psychiatrist prescriptions supports the validation of the proposal. Conclusions: APPRAISE-RS is a valid methodology to build recommender systems that manage updated, personalized and participatory recommendations, which, in the case of ADHD includes at least one intervention that is identical or very similar to other drugs prescribed by psychiatrists.

Assessing the Quality of the World Health Organization's Skin NTDs App as a Training Tool in Ghana and Kenya: Protocol for a Cross-sectional Study.

BACKGROUND: Neglected tropical diseases (NTDs) affect over 1.5 billion people worldwide, the majority of them belonging to impoverished populations in low- and middle-income countries (LMICs). Skin NTDs are a subgroup of NTDs that manifest primarily as skin lesions. The diagnosis and treatment of skin NTDs entail considerable resources, including trained personnel and financial backing. Many interventions are being launched and evaluated, particularly mobile health (mHealth) interventions, such as Skin NTDs App, a training and decision support tool offered by the World Health Organization (WHO) for frontline health workers (FHWs). As most digital health guidelines prioritize the thorough evaluation of mHealth interventions, it is essential to conduct a rigorous and validated assessment of Skin NTDs App. OBJECTIVE: We aim to assess the quality of version 3 of Skin NTDs App, developed for the WHO by Universal Doctor and Netherlands Leprosy Relief as a training and decision support tool for FHWs. METHODS: A cross-sectional study will be conducted in 2 LMICs: Ghana and Kenya. We will use snowball sampling recruitment to select 48 participants from the target population of all FHWs dealing with skin NTDs. The sample group of FHWs will be asked to download and use Skin NTDs App for at least 5 days before answering a web-based survey containing demographic variables and the user Mobile App Rating Scale (uMARS) questionnaire. A semistructured interview will then be conducted. Quantitative and qualitative data will be analyzed using SPSS (version 25; SPSS Inc), with statistical significance for all tests set at a 95% CI and P≤.05 considered significant. Data derived from the semistructured interviews will be clustered in themes and coded to enable analysis of various dimensions using ATLAS.ti. RESULTS: The estimated completion date of the study is in the third quarter of 2022. The results are expected to show that Skin NTDs App version 3 has a good reported user experience, as assessed using the uMARS scale. No differences are expected to be found, except for those related to experience in dermatology and the use of mobile technology that could influence the final score. Semistructured interviews are expected to complete the results obtained on the uMARS scale. Moreover, they will be the previous step before assessing other aspects of the app, such as its efficiency and how it should be disseminated or implemented. CONCLUSIONS: This study is the first step in a qualitative and quantitative assessment of Skin NTDs App as a training and support tool for FHWs diagnosing and managing skin NTDs. Our results will serve to improve future versions of the App. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/39393.

Factors associated with patient empowerment in Spanish adults with type 2 diabetes: A cross-sectional analysis.

OBJECTIVE: The aim of the present study is to identify factors associated with patient empowerment in people living with type 2 diabetes mellitus (T2DM) in the Canary Islands (Spain). METHODS: Secondary cross-sectional analysis was carried out of data obtained in the INDICA study: A 24-month cluster randomized-controlled trial evaluating the effectiveness of educational interventions supported by new technology decision tools for T2DM patients. Sociodemographic variables, clinical data (years since diagnosis, glycated haemoglobin level, creatine, triglycerides, waist hip index, body mass index and number of comorbidities), diabetes knowledge (DIATEK), affective outcomes (Beck Depression Inventory-II, the State subscale of the State-Trait Anxiety Inventory and The Diabetes Distress Scale) and diabetes-related quality of life (The Audit of Diabetes-Dependent Quality of life) were assessed as potential correlates of patient empowerment, assessed using the Diabetes Empowerment Scale-Short Form. Multilevel mixed linear regression models on patient empowerment were developed. RESULTS: The analysis included the baseline data of 2334 patients. Results showed that age (B = -0.14; p < .001), diabetes knowledge (B = 0.61; p < .001) and state-anxiety (B = -0.09; p < .001) are significantly associated with patient empowerment. Sex, education level, living alone, employment status, country of birth, time since diagnosis, number of comorbidities, glycated haemoglobin level, depression and distress were not independently associated with patient empowerment in the multivariate analyses. CONCLUSION: Younger age, lower state-anxiety and greater diabetes-specific knowledge are important correlates of patient empowerment. In line with the results of the INDICA study, interventions based on patient-centred care might be effective in improving patient empowerment in adults with T2DM. Understanding the factors associated with empowerment may help clinicians and policymakers to identify high-risk groups, prioritize resources and target evidence-based interventions to better support people with T2DM to be actively involved in their own care. PATIENT OR PUBLIC CONTRIBUTION: Patients with T2DM were actively involved in the design of the INDICA study. Two patient associations were included as part of the research team and actively participated in designing the interventions and selecting outcome measures.

Developing an Unstructured Supplementary Service Data-based mobile phone app to provide adolescents with sexual reproductive health information: a human-centered design approach.

BACKGROUND: Adolescent pregnancies and sexually-transmitted infections continue to impact 15 - 19-year-olds across the globe. The lack of sexual reproductive health information (SRH) in resource-limited settings due to cultural and societal attitudes towards adolescent SRH could be contributing to the negative outcomes. Innovative approaches, including mobile phone technologies, are needed to address the need for reliable adolescent SRH information. OBJECTIVE: The study aimed to co-design a Unstructured Supplementary Service Data (USSD) based mobile app prototype to provide confidential adolescent SRH information on-demand and evaluate the mobile app's usability and user experience. METHODS: A human-centered design methodology was applied. This practice framework allowed the perspectives and feedback of adolescent users to be included in the iterative design process. To participate, an adolescent must have been 15 to 19 years old, resided in Kibra and would be able to access a mobile phone. Adolescents were enrolled for the alpha and field testing of the app prototype at different time-points. The Mobile Application Rating Scale (MARS) a multidimensional mobile phone evaluation tool was used to access the functionality, engagement, aesthetics and quality of information in the app. Responses from the MARS were reported as mean scores for each category and a mean of the aggregate scores making the app's quality score. The MARS data was also evaluated as categorical data, A Chi square test of independence was carried out to show significance of any observed differences using cumulative and inverse cumulative distribution functions. RESULTS: During the usability test, 62/109 (54.9%) of the adolescents that were followed-up had used the app at least once, 30/62 (48.4%) of these were male participants and 32/62 (51.6%) female. On engagement, the app had a mean score of 4.3/5 (SD 0.44), 4.6/5 (SD 0.38) on functionality, 4.3/5 (SD 0.57) on aesthetics and 4.4/5 (SD 0.60) on the quality of information. The overall app quality mean score was 4.4/5 (SD 0.31). The app was described as 'very interesting' to use by 44/62 (70.9%) of the participants, 20/44 males and 24/44 females. The content was deemed to be either 'perfectly' or 'well targeted' on sexual reproductive health by 60/62 (96.7%) adolescents, and the app was rated 'best app' by 45/62 (72.6%) adolescents, 27/45 females and 18/45 males, with a p-value = 0.011. CONCLUSIONS: Adolescents need on-demand, accurate and trusted SRH information. A mobile phone app is a feasible and acceptable way to deliver adolescent SRH information in resource-limited settings. The USSD mobile phone technology shows promise in the delivery of much needed adolescent SRH information on-demand..

Codesign and Feasibility Testing of a Tool to Evaluate Overweight and Obesity Apps.

BACKGROUND: Digital health interventions and mobile technologies can help to reduce the rates of obesity and overweight conditions. Although weight management apps are widely used, they usually lack professional content and evaluation, so the quality of these apps cannot be guaranteed. The EVALAPPS project aims to design and validate a tool to assess the safety and effectiveness of health-related apps whose main goal is to manage and prevent obesity and overweight conditions. OBJECTIVE: The aim of this paper is two-fold: (a) to co-create and codesign the EVALAPPS assessment tool and (b) to pilot its feasibility among overweight and obese individuals that use weight control apps. METHODS: A mixed-methods approach was used. A multidisciplinary team (n = 12) participated in a co-creation workshop to provide proposals and inputs about the look and feel of the content, usability aspects, appearance, sections, and main features of the EVALAPPS tool. The tool was tested for its feasibility among 31 overweight and obese individuals, attending the CP Endocrinologia i Nutrició SL Clinic for the first time. Participants were asked to use a specific weight control app [Yazio (YAZIO GmbH, Erfurt, Germany), My FitnessPal (MyFitnessPal, Austin, TX, USA) or MyPlate (MyPlate, Santa Monica, CA, USA)] for two weeks and then evaluate them by using the EVALAPPS (EVALAPPS, David Ganyan, Barcelona, Spain) (June 2020, David Ganyan, Barcelona, Spain) tool. Seven participants were phone interviewed to gain more insight into the use of the EVALAPPS tool. RESULTS: The co-creation workshop allowed conceptualizing the EVALAPPS tool. The feasibility study showed that all criteria from the Usability and Functionality dimensions had valid answers, while Reliability, Security, Privacy, and Health indicators were the dimensions with less valid answers. In all three apps, the dimension with the highest score was Usability/functionality, followed by app purpose. Clinical effectiveness and Development were the dimensions with the lowest scores in all three tested weight control apps. CONCLUSIONS: The participation of the multidisciplinary team and end-users in the conceptualization and testing of a tool to assess health apps was feasible and relevant for the usability of the tool.

Increased Patient Empowerment Is Associated with Improvement in Anxiety and Depression Symptoms in Type 2 Diabetes Mellitus: Findings from the INDICA Study.

Introduction. In cross-sectional analyses, higher levels of patient empowerment have been related to lower symptoms of anxiety and depression. The aims of this study are: (1) to assess if patient empowerment predicts anxiety and depression symptoms after 12 and 24 months among patients with type 2 diabetes mellitus, and (2) to analyze whether a change in patient empowerment is associated with a change in anxiety and depression level. Methods. This is a secondary analysis of the INDICA study, a 24 month-long, multi-arm randomized controlled trial. Patient empowerment (DES-SF), depression (BDI-II), and state-anxiety (STAI-S) were assessed at the baseline (pre-intervention) and after 12 and 24 months. Multilevel mixed linear models with a random intercept were performed to correct for our clustered data. Results. The multilevel regression models showed that the baseline empowerment did not significantly predict anxiety and depression after 12 and 24 months. However, a higher increase in patient empowerment was significantly associated with reductions of anxiety (p < 0.001) and depression levels (p < 0.001). This association was not significantly different between the two follow-ups. Conclusion. This study contributes to the knowledge on how to reduce affective symptoms in patients with uncomplicated T2DM through comprehensive patient-centered interventions, and it highlights patient empowerment as a significant contributor.

An Unstructured Supplementary Service Data-Based mHealth App Providing On-Demand Sexual Reproductive Health Information for Adolescents in Kibra, Kenya: Randomized Controlled Trial.

BACKGROUND: Adolescents transitioning from childhood to adulthood need to be equipped with sexual reproductive health (SRH) knowledge, skills, attitudes, and values that empower them. Accessible, reliable, appropriate, and friendly information can be provided through mobile phone-based health interventions. OBJECTIVE: This study aims to investigate the effectiveness and impact of an Unstructured Supplementary Service Data (USSD)-based app in increasing adolescents' knowledge about contraceptives, gender-based stereotypes, sexually transmitted infections (STIs), abstinence, and perceived vulnerability, and helping adolescents make informed decisions about their SRH. METHODS: A randomized controlled trial (RCT) methodology was applied to investigate the potential of a USSD-based app for providing on-demand SRH information. To be eligible, adolescents aged 15 to 19 years residing in Kibra, Kenya, had to have access to a phone and be available for the 3-month follow-up visit. Participants were randomly assigned to the intervention (n=146) and control (n=154) groups using sequentially numbered, opaque, sealed envelopes. The primary outcome was improved SRH knowledge. The secondary outcome was improved decision-making on SRH. The outcomes were measured using validated tools on adolescent SRH and user perceptions during the follow-up visit. A paired sample t test was used to compare the changes in knowledge scores in both groups. The control group did not receive any SRH information. RESULTS: During the RCT, 54.9% (62/109) of adolescents used the USSD-based app at least once. The mean age by randomization group was 17.3 (SD 1.23) years for the control group and 17.3 (SD 1.12) years for the intervention group. There was a statistically significant difference in the total knowledge scores in the intervention group (mean 10.770, SD 2.012) compared with the control group (mean 10.170, SD 2.412) conditions (t179=2.197; P=.03). There was a significant difference in abstinence (P=.01) and contraceptive use (P=.06). Of the individuals who used the app, all participants felt the information received could improve decision-making regarding SRH. Information on STIs was of particular interest, with 27% (20/62) of the adolescents seeking information in this area, of whom 55% (11/20) were female. In relation to improved decision-making, 21.6% (29/134) of responses showed the adolescents were able to identify STIs and were likely to seek treatment; 51.7% (15/29) of these were female. Ease of use was the most important feature of the app for 28.3% (54/191) of the responses. CONCLUSIONS: Adolescents require accurate and up-to-date SRH information to guide their decision-making and improve health outcomes. As adolescents already use mobile phones in their day-to-day lives, apps provide an ideal platform for this information. A USSD-based app could be an appropriate tool for increasing SRH knowledge among adolescents in low-resource settings. Adolescents in the study valued the information provided because it helped them identify SRH topics on which they needed more information. TRIAL REGISTRATION: Pan African Clinical Trial Registry PACTR202204774993198; https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=22623.

Mobile Applications in Mood Disorders and Mental Health: Systematic Search in Apple App Store and Google Play Store and Review of the Literature.

OBJECTIVES: The main objective of this work was to explore and characterize the current landscape of mobile applications available to treat mood disorders such as depression, bipolar disorder, and dysthymia. METHODS: We developed a tool that makes both the Apple App Store and the Google Play Store searchable using keywords and that facilitates the extraction of basic app information of the search results. All app results were filtered using various inclusion and exclusion criteria. We characterized all resultant applications according to their technical details. Furthermore, we searched for scientific publications on each app's website and PubMed, to understand whether any of the apps were supported by any type of scientific evidence on their acceptability, validation, use, effectiveness, etc. Results: Thirty apps were identified that fit the inclusion and exclusion criteria. The literature search yielded 27 publications related to the apps. However, these did not exclusively concern mood disorders. 6 were randomized studies and the rest included a protocol, pilot-, feasibility, case-, or qualitative studies, among others. The majority of studies were conducted on relatively small scales and 9 of the 27 studies did not explicitly study the effects of mobile application use on mental wellbeing. CONCLUSION: While there exists a wealth of mobile applications aimed at the treatment of mental health disorders, including mood disorders, this study showed that only a handful of these are backed by robust scientific evidence. This result uncovers a need for further clinically oriented and systematic validation and testing of such apps.

An Exploratory Study of Current Sources of Adolescent Sexual and Reproductive Health Information in Kenya and Their Limitations: Are Mobile Phone Technologies the Answer?

Purpose The prevalence of pregnancy and sexually transmitted infections among adolescents in low and middle-income countries leads us to believe that sexual and reproductive health (SRH) information needs are still unmet. This paper investigates current sources and their limitations and then explores the role technology could play. Methods: In an exploratory qualitative study themes identified; (1) preferred sources of SRH information; (2) their limitations; (3) the role of technology in meeting their needs. Results: Mobile phone-based apps could improve awareness and provide information in a confidential way. Conclusions: Adolescents have an unmet need that vary by age and gender. Mobile phones could offer accessible, user-friendly platform.

Mobile Health Strategies to Tackle Skin Neglected Tropical Diseases With Recommendations From Innovative Experiences: Systematic Review.

BACKGROUND: Neglected tropical diseases (NTDs) represent a diverse group of 20 communicable diseases that occur in tropical and subtropical areas in 149 countries, affecting over 1 billion people and costing developing economies billions of dollars every year. Within these diseases, those that present lesions on the skin surface are classified as skin NTDs (sNTDs). Mobile health interventions are currently being used worldwide to manage skin diseases and can be a good strategy in the epidemiological and clinical management of sNTDs. OBJECTIVE: We aimed to analyze existing evidence about mobile health interventions to control and manage sNTDs in low- and middle-income countries (LMICs) and make recommendations for what should be considered in future interventions. METHODS: A systematic review was conducted of the MEDLINE, Embase, and Scopus databases over 10 years up to April 30, 2020. All types of clinical studies were considered. Data were synthesized into evidence tables. Apps were selected through a comprehensive systematic search in the Google Play Store and Apple App Store conducted between March 20 and April 15, 2020. RESULTS: From 133 potentially relevant publications, 13 studies met our criteria (9.8%). These analyzed eight different interventions (three SMS text messaging interventions and five app interventions). Six of the 13 (46%) studies were community-based cross-sectional studies intended to epidemiologically map a specific disease, mainly lymphatic filariasis, but also cutaneous leishmaniasis, leprosy, and NTDs, as well as sNTDs in general. Most of the studies were considered to have a high (5/13, 39%) or moderate (4/13, 31%) risk of bias. Fifteen apps were identified in the Google Play Store, of which three were also in the Apple App Store. Most of the apps (11/15, 73%) were targeted at health care professionals, with only four targeted at patients. The apps focused on scabies (3/15, 20%), lymphatic filariasis (3/15, 20%), cutaneous leishmaniasis (1/15, 7%), leprosy (1/15, 7%), yaws and Buruli ulcer (1/15, 7%), tropical diseases including more than one sNTDs (3/15, 20%), and NTDs including sNTDs (2/15, 13%). Only 1 (7%) app focused on the clinical management of sNTDs. CONCLUSIONS: All mobile health interventions that were identified face technological, legal, final user, and organizational issues. There was a remarkable heterogeneity among studies, and the majority had methodological limitations that leave considerable room for improvement. Based on existing evidence, eight recommendations have been made for future interventions.

Evaluation Criteria for Weight Management Apps: Validation Using a Modified Delphi Process.

BACKGROUND: The use of apps for weight management has increased over recent years; however, there is a lack of evidence regarding the efficacy and safety of these apps. The EVALAPPS project will develop and validate an assessment instrument to specifically assess the safety and efficacy of weight management apps. OBJECTIVE: The aim of this study was to reach a consensus among stakeholders on a comprehensive set of criteria to guide development of the EVALAPPS assessment instrument. A modified Delphi process was used in order to verify the robustness of the criteria that had been identified through a literature review and to prioritize a set of the identified criteria. METHODS: Stakeholders (n=31) were invited to participate in a 2-round Delphi process with 114 initial criteria that had been identified from the literature. In round 1, participants rated criteria according to relevance on a scale from 0 ("I suggest this criterion is excluded") to 5 ("This criterion is extremely relevant"). A criterion was accepted if the median rating was 4 or higher and if the relative intraquartile range was equal to 0.67 or lower. In round 2, participants were asked about criteria that had been discarded in round 1. A prioritization strategy was used to identify crucial criteria according to (1) the importance attributed by participants (criteria with a mean rating of 4.00 or higher), (2) the level of consensus (criteria with a score of 4 or 5 by at least 80% of the participants). RESULTS: The response rate was 83.9% (26/31) in round 1 and 90.3% (28/31) in round 2. A total of 107 out of 114 criteria (93.9%) were accepted by consensus-105 criteria in round 1 and 2 criteria in round 2. After prioritization, 53 criteria were deemed crucial. These related mainly to the dimensions of security and privacy (13/53, 24.5%) and usability (9/53, 17.0%), followed by activity data (5/53, 9.4%), clinical effectiveness (5/53, 9.4%), and reliability (5/53, 9.4%). CONCLUSIONS: Results confirmed the robustness of the criteria that were identified, with those relating to security and privacy being deemed most relevant by stakeholders. Additionally, a specific set of criteria based on health indicators (activity data, physical state data, and personal data) was also prioritized.