Young people’s experiences using an on-demand mobile health sexual and reproductive health text message intervention in Kenya : qualitative study

Background: Digital health usability assessments can help explain how well mobile health (mHealth) apps targeting young people with sexual and reproductive health (SRH) information performed and whether the intended purpose was achieved. However, few digital health assessments have been conducted to evaluate young people’s perceptions regarding mHealth system interactions and content relevance on a wide range of SRH topics. In addition, the majority of randomized controlled trials (RCTs) have focused on push messaging platforms; therefore, the mHealth field lacks sufficient RCTs investigating on-demand mHealth SRH platforms. Objective: The objective of this study was to explore young people’s experiences using an on-demand SRH mHealth platform in Kenya. Methods: We used qualitative data related to the usability of an mHealth platform, Adolescent/Youth Reproductive Mobile Access and Delivery Initiatives for Love and Life Outcome (ARMADILLO), collected at the end of the intervention period. A total of 30 in-depth interviews (IDIs) were held with the intervention participants (15 women and 15 men) to elicit their experiences, opinions, and perspectives on the design and content of the ARMADILLO platform. The study participants were randomly selected from a list of intervention arm participants to participate in the IDIs. The interviews were later transcribed verbatim, translated into English, and coded and analyzed thematically using NVivo version 12 software (QSR International). Results: Respondents reported varied user experiences and levels of satisfaction, ranging from ease of use by the majority of the respondents to systematic frustrations that prevented some participants from progressing to other stages. Interesting features of the mHealth platform included the immediate response participants received when requesting messages, weekly remunerated quizzes, and perceived ability of educative and informative content and messages to change behaviors. Proposed enhancements to the platform included revising some concepts and words for easy understanding and increasing the interactivity of the platform, whereby young people could seek clarity when they came across difficult terms or had additional questions about the information they received. Conclusions: The importance of understanding the range of health literacy and technological variations when dealing with young people cannot be overemphasized. Young people, as mHealth end users, must be considered throughout intervention development to achieve optimum functionality. In addition, young people targeted with mHealth SRH interventions must be sensitized to the interactions on mHealth platforms or any other digital health apps if implemented in a nonresearch setting for optimal use by the targeted audience

Culture in the design of mHealth UI:An effort to increase acceptance among culturally specific groups

Purpose: Designers of mobile applications have long understood the importance of users’ preferences in making the user experience easier, convenient and therefore valuable. The cultural aspects of groups of users are among the key features of users’ design preferences, because each group’s preferences depend on various features that are culturally compatible. The process of integrating culture into the design of a system has always been an important ingredient for effective and interactive human computer interface. This study aims to investigate the design of a mobile health (mHealth) application user interface (UI) based on Arabic culture. It was argued that integrating certain cultural values of specific groups of users into the design of UI would increase their acceptance of the technology. Design/methodology/approach: A total of 135 users responded to an online survey about their acceptance of a culturally designed mHealth. Findings: The findings showed that culturally based language, colours, layout and images had a significant relationship with users’ behavioural intention to use the culturally based mHealth UI. Research limitations/implications: First, the sample and the data collected of this study were restricted to Arab users and Arab culture; therefore, the results cannot be generalized to other cultures and users. Second, the adapted unified theory of acceptance and use of technology model was used in this study instead of the new version, which may expose new perceptions. Third, the cultural aspects of UI design in this study were limited to the images, colours, language and layout. Practical implications: It encourages UI designers to implement the relevant cultural aspects while developing mobile applications. Originality/value: Embedding Arab cultural aspects in designing UI for mobile applications to satisfy Arab users and enhance their acceptance toward using mobile applications, which will reflect positively on their lives.</p

Evaluation of two mobile health apps in the context of smoking cessation: qualitative study of cognitive behavioral therapy (CBT) versus non-CBT-based digital solutions.

BACKGROUND: Mobile health (mHealth) apps can offer users numerous benefits, representing a feasible and acceptable means of administering health interventions such as cognitive behavioral therapy (CBT). CBT is commonly used in the treatment of mental health conditions, where it has a strong evidence base, suggesting that it represents an effective method to elicit health behavior change. More importantly, CBT has proved to be effective in smoking cessation, in the context of smoking-related costs to the National Health Service (NHS) having been estimated to be as high as £2.6bn in 2015. Although the evidence base for computerized CBT in mental health is strong, there is limited literature on its use in smoking cessation. This, combined with the cost-effectiveness of mHealth interventions, advocates a need for research into the effectiveness of CBT-based smoking cessation apps. OBJECTIVE: The objective of this study was, first, to explore participants' perceptions of 2 mHealth apps, a CBT-based app, Quit Genius, and a non-CBT-based app, NHS Smokefree, over a variety of themes. Second, the study aimed to investigate the perceptions and health behavior of users of each app with respect to smoking cessation. METHODS: A qualitative short-term longitudinal study was conducted, using a sample of 29 smokers allocated to one of the 2 apps, Quit Genius or Smokefree. Each user underwent 2 one-to-one semistructured interviews, 1 week apart. Thematic analysis was carried out, and important themes were identified. Descriptive statistics regarding participants' perceptions and health behavior in relation to smoking cessation are also provided. RESULTS: The thematic analysis resulted in five higher themes and several subthemes. Participants were generally more positive about Quit Genius's features, as well as about its design and information engagement and quality. Quit Genius users reported increased motivation to quit smoking, as well as greater willingness to continue using their allocated app after 1 week. Moreover, these participants demonstrated preliminary changes in their smoking behavior, although this was in the context of our limited sample, not yet allowing for the finding to be generalizable. CONCLUSIONS: Our findings underscore the use of CBT in the context of mHealth apps as a feasible and potentially effective smoking cessation tool. mHealth apps must be well developed, preferably with an underlying behavioral change mechanism, to promote positive health behavior change. Digital CBT has the potential to become a powerful tool in overcoming current health care challenges. The present results should be replicated in a wider sample using the apps for a longer period so as to allow for generalizability. Further research is also needed to focus on the effect of greater personalization on behavioral change and on understanding the psychological barriers to the adoption of new mHealth solutions

A Patient-Centered Framework for Evaluating Digital Maturity of Health Services: A Systematic Review

© Kelsey Flott, Ryan Callahan, Ara Darzi, Erik Mayer.Background: Digital maturity is the extent to which digital technologies are used as enablers to deliver a high-quality health service. Extensive literature exists about how to assess the components of digital maturity, but it has not been used to design a comprehensive framework for evaluation. Consequently, the measurement systems that do exist are limited to evaluating digital programs within one service or care setting, meaning that digital maturity evaluation is not accounting for the needs of patients across their care pathways. Objective: The objective of our study was to identify the best methods and metrics for evaluating digital maturity and to create a novel, evidence-based tool for evaluating digital maturity across patient care pathways. Methods: We systematically reviewed the literature to find the best methods and metrics for evaluating digital maturity. We searched the PubMed database for all papers relevant to digital maturity evaluation. Papers were selected if they provided insight into how to appraise digital systems within the health service and if they indicated the factors that constitute or facilitate digital maturity. Papers were analyzed to identify methodology for evaluating digital maturity and indicators of digitally mature systems. We then used the resulting information about methodology to design an evaluation framework. Following that, the indicators of digital maturity were extracted and grouped into increasing levels of maturity and operationalized as metrics within the evaluation framework. Results: We identified 28 papers as relevant to evaluating digital maturity, from which we derived 5 themes. The first theme concerned general evaluation methodology for constructing the framework (7 papers). The following 4 themes were the increasing levels of digital maturity: resources and ability (6 papers), usage (7 papers), interoperability (3 papers), and impact (5 papers). The framework includes metrics for each of these levels at each stage of the typical patient care pathway. Conclusions: The framework uses a patient-centric model that departs from traditional service-specific measurements and allows for novel insights into how digital programs benefit patients across the health system

Evaluating Evidence-Based Content, Features of Exercise Instruction, and Expert Involvement in Physical Activity Apps for Pregnant Women: Systematic Search and Content Analysis

Background: Guidelines for physical activity and exercise during pregnancy recommend that all women without contraindications engage in regular physical activity to improve both their own health and the health of their baby. Many women are uncertain how to safely engage in physical activity and exercise during this life stage and are increasingly using mobile apps to access health-relatedinformation. However, the extent to which apps that provide physical activity and exercise advice align with current evidence-based pregnancy recommendations is unclear. Objective: This study aims to conduct a systematic search and content analysis of apps that promote physical activity and exercise in pregnancy to examine the alignment of the content with current evidence-based recommendations; delivery, format, and features of physical activity and exercise instruction; and credentials of the app developers. Methods: Systematic searches were conducted in the Australian App Store and Google Play Store in October 2020. Apps were identified using combinations of search terms relevant to pregnancy and exercise or physical activity and screened for inclusion (with a primary focus on physical activity and exercise during pregnancy, free to download or did not require immediate paid subscription, and an average user rating of ≥4 out of 5). Apps were then independently reviewed using an author-designed extraction tool. Results: Overall, 27 apps were included in this review (Google Play Store: 16/27, 59%, and App Store: 11/27, 41%). Two-thirds of the apps provided some information relating to the frequency, intensity, time, and type principles of exercise; only 11% (3/27) provided this information in line with current evidence-based guidelines. Approximately one-third of the apps provided information about contraindications to exercise during pregnancy and referenced the supporting evidence. None of the apps actively engaged in screening for potential contraindications. Only 15% (4/27) of the apps collected information about the user\u27s current exercise behaviors, 11% (3/27) allowed users to personalize features relating to their exercise preferences, and a little more than one-third provided information about developer credentials. Conclusions: Few exercise apps designed for pregnancy aligned with current evidence-based physical activity guidelines. None of the apps screened users for contraindications to physical activity and exercise during pregnancy, and most lacked appropriate personalization features to account for an individual\u27s characteristics. Few involved qualified experts during the development of the app. There is a need to improve the quality of apps that promote exercise in pregnancy to ensure that women are appropriately supported to engage in exercise and the potential risk of injury, complications, and adverse pregnancy outcomes for both mother and child is minimized. This could be done by providing expert guidance that aligns with current recommendations, introducing screening measures and features that enable personalization and tailoring to individual users, or by developing a recognized system for regulating apps

Reducing the Digital Divide: Why Culturally Relevant eHealth Interventions Can Reduce Latino Health Disparities

Objectives: This paper systematically reviews the recent literature on incorporating culturally relevant material in electronic health (eHealth) tools for Latinos. Latinos are a fast-growing ethnic population set to reach 119 million individuals by 2060 (Velasco-Mondragon et al., 2016). Latinos are also disproportionately affected by comorbidities and other poor health outcomes. Developing a culturally sensitive eHealth tool can lead to positive health outcomes among Latinos. Methods: Peer-reviewed articles and analyses were extracted to identify whether eHealth was associated with positive health outcomes among Latino adults. Four literature databases were used to extract English-language articles published from 2001 to 2022. Furthermore, data from the CDC and WHO were extracted for statistical data regarding Latinos in the US. Recommendations: Improvements in eHealth are needed to increase Latino engagement. Possible factors to consider when developing a culturally relevant eHealth intervention are peer support, technical training, and language done by community messengers like CHWs and trusted members of the community. Conclusion: eHealth use is increasing throughout the country, but the service is not tailored to Latino communities. With necessary improvements, eHealth can increase engagement in healthcare services and improve health outcomes among the target population

User-interface design and evaluation in a mobile application for detecting latent tuberculosis

Treatment and monitoring of tuberculosis have been met with various interventions to reduce its prevalence. One such intervention, to detect and prevent latent tuberculosis infection (LTBI), is the tuberculin skin test (TST), for which an induration response on a patient’s arm is an indication of LTBI. The test requires the patient to return to a clinic 48 to 72 hours after TST administration for assessment of the response. This is a challenge because of financial and accessibility obstacles, especially in under-resourced regions. A mobile health (mHealth) application (app) has been developed for remote assessment of the response to the TST. The previous version of the LTBI screening app, however, had usability limitations. The app is intended for use by patients and healthcare workers; thus, ease of use is important. There is a lack of literature on the usability of mHealth apps, especially in under-resourced settings. In this project, the user interface of the app was redesigned and tested. The Information Systems Research (ISR) framework was integrated with design thinking for this purpose. The project included creating mock-ups of the interface which were iteratively prototyped with ten student participants, adjusted, and assessed according to the user feedback. Thereafter, the Android Studio software was used to adjust the user interface based on the insights gained through the progression of prototypes. The usability of the updated app was tested and assessed with ten healthcare workers at a community health clinic in Khayelitsha in Cape Town, South Africa. Data collection and analysis comprised both qualitative and quantitative methods. Observations, the “think aloud” approach, and the post-study system usability questionnaire were used for data collection. Student participants highlighted various usability limitations of the app during each iteration. The major usability limitations included: the complex image capture protocol, misunderstanding of instructions, and time taken to capture images. Engagement with students allowed for improvement of the app interface and enabled adequate preparation for testing in the field with end-users. Furthermore, improving the app interface before engaging with healthcare workers, enabled context specific limitations that would affect the usability of the app, to be explored during the field testing. These included safety concerns when using the app and the privacy of health information. Future work should explore how these concerns, as well as other social factors, affect usability. Furthermore, improving the image capture protocol is required for improving the usability of the app

Self-management in heart failure using mHealth: A content validation.

AIM: To describe the development of a mobile health application -mICardiApp- designed by a multidisciplinary professional team and patients with heart failure and to evaluate its content validity. METHODS: Critical reviews of the literature, semi-structured interviews with patients, and user stories guided the development of the content of the mobile application. These contents were refined and validated through a modified Delphi process. An expert panel of healthcare and social care professionals together with patients and academics evaluated the content through two content validity indicators, relevance, and adequacy, and provided narrative feedback. The content validity of the app and each screen was determined by calculating the Content Validity Index (CVI). Similarly, the Adequacy Index (AI) was analyzed. RESULTS: The developed app is composed by 8 topics: (1) available resources, (2) cardiac rehabilitation, (3) control of signs and symptoms, (4) emotional support, (5) learning and having fun, (6) medication, (7) nutrition, and (8) physical activity. The results demonstrated high CVI of the screens and the full app. 57 of the 59 screens in the app reached an excellent CVI≥0.70 for both relevance and adequacy, except for 2 screens. The CVI Average Method of the app was 0.851. CONCLUSIONS: mICardiApp is presented as an application to improve health literacy and self-management of patients with multimorbidity and heart failure, with proven validation