593 research outputs found

    Patient-generated data in the management of HIV: a scoping review

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    Objectives Patient-generated data (PGData) are an emergent research area and may improve HIV care. The objectives of this scoping review were to synthesise, evaluate and make recommendations based on the available literature regarding PGData use in HIV care. Design Scoping review. Data sources Embase, Medline, CINAHL Plus, Web of Science, Scopus, PsycINFO and Emcare databases. Eligibility criteria Studies involving PGData use within HIV care for people living with HIV and/or healthcare professionals (HCPs) published before February 2021. Data extraction and synthesis Data were extracted using a table and the Mixed Methods Appraisal Tool was used to assess empirical rigour. We used thematic analysis to evaluate content. Results 11 articles met the eligibility criteria. Studies were observational, predominantly concerned hypothetical or novel digital platforms, mainly conducted in high-income settings, and had small sample sizes (range=10–160). There were multiple definitions of PGData. In the majority of studies (n=9), participants were people living with HIV, with a few studies including HCPs, informatics specialists or mixed participant groups. Participants living with HIV were aged 23–78 years, mostly men, of diverse ethnicities, and had low educational, health literacy and income levels. We identified four key themes: (1) Perceptions of PGData and associated digital platforms; (2) Opportunities; (3) Anticipated barriers and (4) Potential impact on patient–HCP relationships. Conclusions Use of PGData within HIV care warrants further study, especially with regard to digital inequalities, data privacy and security. There is a need for longitudinal data on use within HIV in a variety of settings with a broad range of users, including impact on clinical outcomes. This will allow greater understanding of the role of PGData use in improving the health and well-being of people living with HIV, which is increasingly pertinent as digital healthcare becomes more widespread as a result of COVID-19

    DESIGN PRINCIPLES FOR APP-BASED HEALTHCARE INTERVENTIONS: A MIXED METHOD APPROACH

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    Despite the ubiquity of mobile health applications (apps), the practical use and success of the apps have been questionable. Design Principles (DP) can affect chronic health app user satisfaction and have been studied for ensuring favorable app usage. However, there is no consensual definition of DP within the preceding literature, which has a technical rather than an end-user-centric focus and lacks a rigorous theoretical basis. Moreover, different levels of DPs’ application can lead to differential user satisfaction as influenced by the user-contextual environment, warranting a quantitative assessment. Accordingly, the overarching question to be addressed is which DP for the self-management of chronic conditions contributes to better user satisfaction outcomes. The research focuses on Multiple Sclerosis (MS) as a representative condition. This research uses a mixed methods, with a qualitative approach for DP identification and a quantitative approach for the studying the DP-Satisfaction relationship. The DP identification is achieved through - 1) An in depth review of foundational theory for greater validity, 2) A Systematic Literature Review (SLR), for DP themes grounded in theory, and 3) Manually coded user reviews for MS apps. The theoretical underpinnings of the empirical approach are established through a composite theoretical lens, based on technologically, behaviorally, and cognitively oriented frameworks. The DP extracted from theory, SLR, and manual coding methods are found to be largely consistent with each other, namely ‘Communication with Clinicians’, ‘Compatibility, ‘Education’, ‘Notifications’, ‘Tracking’, ‘Social Support’, ‘Ease of Use’, ‘Technical Support’, ‘Usefulness’, ‘Privacy and Security’, and Quality. An ordinal logistic regression analysis is conducted to understand the relationship between DP and User Satisfaction outcomes based on the manually coded DP scores of the user reviews. All DP have a significant impact on User Satisfaction. From a theoretical perspective, the research improves our understanding of key design principles for the self-management of chronic conditions such as MS and the impact of such principles on user satisfaction. From a practical perspective, the findings provide guidance to the user requirement elicitation process, potentially leading to the development of more successful, sustainable, and responsive healthcare interventions

    Are HIV smartphone apps and online interventions fit for purpose?

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    Sexual health is an under-explored area of Human-Computer Interaction (HCI), particularly sexually transmitted infections such as HIV. Due to the stigma associated with these infections, people are often motivated to seek information online. With the rise of smartphone and web apps, there is enormous potential for technology to provide easily accessible information and resources. However, using online information raises important concerns about the trustworthiness of these resources and whether they are fit for purpose. We conducted a review of smartphone and web apps to investigate the landscape of currently available online apps and whether they meet the diverse needs of people seeking information on HIV online. Our functionality review revealed that existing technology interventions have a one-size-fits-all approach and do not support the breadth and complexity of HIV-related support needs. We argue that technology-based interventions need to signpost their offering and provide tailored support for different stages of HIV, including prevention, testing, diagnosis and management

    Use of m-Health Technology for Preventive Interventions to Tackle Cardiometabolic Conditions and Other Non-Communicable Diseases in Latin America- Challenges and Opportunities

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    In Latin America, cardiovascular disease (CVD) mortality rates will increase by an estimated 145% from 1990 to 2020. Several challenges related to social strains, inadequate public health infrastructure, and underfinanced healthcare systems make cardiometabolic conditions and non-communicable diseases (NCDs) difficult to prevent and control. On the other hand, the region has high mobile phone coverage, making mobile health (mHealth) particularly attractive to complement and improve strategies toward prevention and control of these conditions in low- and middle-income countries. In this article, we describe the experiences of three Centers of Excellence for prevention and control of NCDs sponsored by the National Heart, Lung, and Blood Institute with mHealth interventions to address cardiometabolic conditions and other NCDs in Argentina, Guatemala, and Peru. The nine studies described involved the design and implementation of complex interventions targeting providers, patients and the public. The rationale, design of the interventions, and evaluation of processes and outcomes of each of these studies are described, together with barriers and enabling factors associated with their implementation.Fil: Beratarrechea, Andrea Gabriela. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Diez Canseco, Francisco. Universidad Peruana Cayetano Heredia; PerúFil: Irazola, Vilma. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Miranda, Jaime. Universidad Peruana Cayetano Heredia; PerúFil: Ramirez Zea, Manuel. Institute of Nutrition of Central America and Panama; GuatemalaFil: Rubinstein, Adolfo Luis. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

    User Preferences for Privacy Protection Methods in Mobile Health Apps: A Mixed-Methods Study

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    Background: Mobile health (mHealth) apps have the potential to facilitate convenient health care delivery and self-management of health. However, many users have concerns about their privacy when they use mHealth apps. Different apps provide different solutions for protecting users’ privacy. Objective: The purpose of this study was to determine user preferences among the several privacy protection methods used in current mHealth apps and the reasons behind their preferences. Methods: Five privacy protection methods currently used in mHealth apps were presented to a group of study participants who had mild or moderate depression and expressed concerns about privacy of information when they used mental health apps. After a demonstration of the methods, study participants were asked to fill out a questionnaire and indicate their perceived privacy protection level (PPPL) of each method, their preference rating for each method, and the privacy protection methods they had used in the past. A brief interview was then conducted to collect study participants’ comments on these methods and elicit the reasons for their preference ratings. Statistical analysis was performed to determine the statistical significance of differences in participants’ preference ratings and in the PPPLs obtained for the five methods. Study participants’ comments on the privacy protection methods and suggestions were noted and summarized. Results: Forty (40) study participants were selected from a large candidate pool using the IRB approved selection criteria. All study participants viewed the app demonstration and understood the five privacy protection methods properly, which was indicated by their correct sorting of the PPPL of the five methods in their answers to the questionnaire. All study participants specified their preferences with respect to these methods and provided the rationale behind their selections on the questionnaire and during the brief interview. The results indicate that the users preferred privacy protection methods with customizable modules in multi-purpose apps because of their convenience and strong privacy protection, where the customization can be done either in the app or via a Web portal. Conclusions: This study identified user preferred privacy protection methods. These identified privacy protection methods may be used in many types of apps that perform sensitive health information management to better protect users’ privacy and encourage more users to adopt these mHealth apps

    Acceptability Study and Pilot RCT of a Guide to Understanding Reproductive Health for Ladeez (GURHL) Code: An HIV Risk Reduction App Intervention for Black and Latina Young Women in New York City

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    Background: Young Black and Latina women suffer from higher sexually transmitted disease (STD) incidences than White women, increasing their susceptibility to contracting human immunodeficiency virus (HIV). The adoption and widespread usage of mobile devices has contributed to the public’s ability to access available information at all hours, including information on sexual and reproductive health (SRH). Despite a growing body of mobile health literature, there is limited understanding of how mobile-based sexual and reproductive health interventions for use by young adult Black and Latina women could improve sexual health knowledge and connection to clinical care. Methods: This pilot randomized controlled trial evaluated preliminary efficacy of a web-based application (web-app) designed to increase knowledge of HIV and other STDs and to facilitate awareness and use of SRH care via a texting function and a clinic search tool. Participants were assigned randomly to use either the intervention web-app or a standard web-app and were administered knowledge, feasibility, and acceptability assessments at baseline and at follow-up 3 months later. Additional focus groups (n = 4) were conducted after the 3-month follow-up survey was completed and the circumstances around usage (at school, at work, in crisis, for information sharing), attitudes toward the web-app, and barriers to using the app were assessed as were the participants’ perspectives on the apps’ usefulness, trustworthiness, and usability. Inclusion criteria were: self-identified Black or Latina women aged 18 to 25 who owned a smartphone, were living or working in New York City, and reported vaginal or anal intercourse with a male partner in their lifetime. The study compared those who enrolled in the research study to those who were eligible but chose not to enroll on age, race, relationship status, education, individual income, employment status, insurance status, condomless sex acts in their lifetime, number of male sex partners in their lifetime, age of oldest male sex partner, and age of first sexual intercourse. Comparisons were made using t-tests, chi-square, or Fisher’s exact tests as appropriate (Aim 1, n = 156). In addition, drawing from self-report data, the study compared the cost per enrollee by recruitment source. To assess the feasibility and acceptability of the web-app created for this dissertation, focus group results were triangulated with baseline, post-surveys, and analytics results. We compared the treatment arms on demographics, health risk behaviors, understanding of other web-based applications, usability items, and web analytics using t-tests, chi-square, or Fisher’s exact tests, as appropriate. Focus groups were conducted by study arm and findings reported thematically by intervention and control arm (Aim 2, n =105, 4 focus groups). To explore preliminary efficacy, analyses additionally compared self-report access to reproductive health services and SRH knowledge using t-tests, chi-square, or Fisher’s exact tests, as appropriate (Aim 3, n =105). All procedures were reviewed and approved by the City University of New York Institutional Review Board (protocol # 381039). Results: The Guide to Understanding Reproductive Health for Ladeez (GURHL) Code study found that recruiting via college professors through emails and college LISTSERVs was more effective than recruiting via Facebook banner advertisements. Data on the banner ads and the findings reported by enrollees both revealed that potential enrollees responded more favorably to banner ads that included the study logo and images of women, rather than those displaying the logo alone. Women who enrolled in the GURHL Code study were more likely to report an income below $20,000 and to be working or to be a student than were the women who were eligible but did not enroll. Triangulating focus groups, survey responses, and web analytics results suggest participants were enthusiastic about several aspects of the intervention GURHL Code web-app in comparison to the standard-of-care control web-app. These aspects included the clarity in language, transparency of the developer and designer, access to the Planned Parenthood text function, and Questions, Honest Answers. Participants from both treatment conditions found both web-apps easy to use and well organized, and additionally found the GURHL Code intervention web-app to be trustworthy and useful. We found high retention rates, successful randomization, and non-differential findings on knowledge or connection to care. Discussion: The study found that GURHL Code, a theory-driven sexual and reproductive health (SRH) mHealth study, was feasible and acceptable among Black and Latina women 18 to 25 years old in New York City and that it merits a larger scale study to explore SRH knowledge and connection to SRH care. Future research might include a suite of web-apps available in the marketplace (e.g., Google Play and Apple’s App Store) tailored for various sub-populations of women. These could include teenaged women and parents or caregivers of young women. Cross-sector collaborations are needed to advance the health-technology field, especially with mobile designers, developers, and e-marketers. Comments Archived online components: http://wayback.archive-it.org/5484/20161102124301/http://gurhlcode.org/ http://wayback.archive-it.org/5484/20161102124302/http://gurhlcode.commons.gc.cuny.edu

    Effectiveness, Acceptability, and Feasibility of Digital Health Interventions for LGBTIQ+ Young People: Systematic Review

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    Background: Young people (aged 12-25 years) with diverse sexuality, gender, or bodily characteristics, such as those who identify as lesbian, gay, bisexual, transgender, intersex, or queer (LGBTIQ+), are at substantially greater risk of a range of mental, physical, and sexual health difficulties compared with their peers. Digital health interventions have been identified as a potential way to reduce these health disparities. Objective: This review aims to summarize the characteristics of existing evidence-based digital health interventions for LGBTIQ+ young people and to describe the evidence for their effectiveness, acceptability, and feasibility. Methods: A systematic literature search was conducted using internet databases and gray literature sources, and the results were screened for inclusion. The included studies were synthesized qualitatively. Results: The search identified 38 studies of 24 unique interventions seeking to address mental, physical, or sexual health–related concerns in LGBTIQ+ young people. Substantially more evidence-based interventions existed for gay and bisexual men than for any other population group, and there were more interventions related to risk reduction of sexually transmitted infections than to any other health concern. There was some evidence for the effectiveness, feasibility, and acceptability of these interventions overall; however, the quality of evidence is often lacking. Conclusions: There is sufficient evidence to suggest that targeted digital health interventions are an important focus for future research aimed at addressing health difficulties in LGBTIQ+ young people. Additional digital health interventions are needed for a wider range of health difficulties, particularly in terms of mental and physical health concerns, as well as more targeted interventions for same gender–attracted women, trans and gender-diverse people, and people with intersex variations

    Towards Understanding the Usability Attributes of AI-Enabled eHealth Mobile Applications.

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    Mobile application (app) use is increasingly becoming an essential part of our daily lives. Due to their significant usefulness, people rely on them to perform multiple tasks seamlessly in almost all aspects of everyday life. Similarly, there has been immense progress in artificial intelligence (AI) technology, especially deep learning, computer vision, natural language processing, and robotics. These technologies are now actively being implemented in smartphone apps and healthcare, providing multiple healthcare services. However, several factors affect the usefulness of mobile healthcare apps, and usability is an important one. There are various healthcare apps developed for each specific task, and the success of these apps depends on their performance. This study presents a systematic review of the existing apps and discusses their usability attributes. It highlights the usability models, outlines, and guidelines proposed in previous research for designing apps with improved usability characteristics. Thirty-nine research articles were reviewed and examined to identify the usability attributes, framework, and app design conducted. The results showed that satisfaction, efficiency, and learnability are the most important usability attributes to consider when designing eHealth mobile apps. Surprisingly, other significant attributes for healthcare apps, such as privacy and security, were not among the most indicated attributes in the studies
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