mHealth最新文献

Background: There has been a proliferation of digital health interventions (DHIs) focused on addressing human immunodeficiency virus (HIV) prevention and treatment outcomes, including couples-based interventions with same-gender male couples. However, the barriers and facilitators of implementing couples-based HIV and sexually transmitted infection (STI) prevention interventions using digital platforms in community-based organizations remains largely unknown. The goal of this study was to explore the implementation determinants of Our Plan, a couples-based DHI designed for new relationships of same-gender male couples and dyadic, sexual partnerships.

Methods: Qualitative interviews were conducted with 40 organization leaders, healthcare providers, and staff at acquired immunodeficiency syndrome (AIDS)-service and community-based organizations in 13 states serving populations in Ending the HIV Epidemic jurisdictions. Interview items and follow-up questions were guided by the Consolidated Framework for Implementation Research (CFIR) to inquire about implementation determinants of Our Plan.

Results: Most participants highlighted several relative advantages of Our Plan: increasing capacity to support couples, potential synergy with existing programs, and opportunities to increase patient engagement. Participants also discussed relative disadvantages: misalignment with organizational values in the provision of patient-centered models of care and low interest from some priority populations. Participants emphasized the need for adaptability of Our Plan to fit within their local contexts, which encompassed support for both implementers and end-users, cultural tailoring, and privacy and security features. The desired evidence needed to implement Our Plan focused on data on impact, acceptability, and usability and functionality from communities most heavily impacted by the HIV epidemic. The majority of participants described how Our Plan could be integrated within service delivery and aligned with their organization's aspirational values; however, some noted that their organizational culture valued in-person interactions, particularly among patients experiencing structural vulnerabilities. Finally, participants discussed how the implementation of Our Plan would require additional training and funding for staff to support end-users and a relationship with the developers so that they could demonstrate their investment in the communities that their organizations served.

Conclusions: Our Plan was deemed a promising tool among potential implementers. To ensure optimal implementation and organizational fit, Our Plan refinement and evaluation must include implementers and end-users most impacted by the HIV epidemic throughout the entire process.

Background: The integration of real-time data (RTD) in the electronic health records (EHRs) is transforming the healthcare of tomorrow. In this work, the common scenarios of capturing RTD in the healthcare from EHRs are studied and the approaches and tools to implement real-time solutions are investigated.

Methods: Delivering RTD by representational state transfer (REST) application programming interfaces (APIs) is usually accomplished through a Publish-Subscribe approach. Common technologies and protocols used for implementing subscriptions are REST hooks and WebSockets. Polling is a straightforward mechanism for obtaining updates; nevertheless, it may not be the most efficient or scalable solution. In such cases, other approaches are often preferred. Database triggers and reverse proxies can be useful in RTD scenarios; however, they should be designed carefully to avoid performance bottlenecks and potential issues.

Results: The implementation of subscriptions through REST hooks and WebSocket notifications using a Fast Healthcare Interoperability Resources (FHIR) REST API, as well as the design of a reverse proxy and database triggers is described. Reference implementations of the solutions are provided in a GitHub repository. For the reverse proxy implementation, the Go language (Golang) was used, which is specialized for the development of server-side networking applications. For FHIR servers a python script is provided to create a sample Subscription resource to send RTD when a new Observation resource for specific patient id is created. The sample WebSocket client is written using the "websocket-client" python library. The sample RTD endpoint is created using the "Flask" framework. For database triggers a sample structured query language (SQL) query for Postgres to create a trigger when an INSERT or UPDATE operation is executed on the FHIR resource table is available. Furthermore, a use case clinical example, where the main actors are the healthcare providers (hospitals, physician private practices, general practitioners and medical laboratories), health information networks and the patient are drawn. The RTD flow and exchange is shown in detail and how it could improve healthcare.

Conclusions: Capturing RTD is undoubtedly vital for health professionals and successful digital healthcare. The topic remains unexplored especially in the context of EHRs. In our work for the first time the common scenarios and problems are investigated. Furthermore, solutions and reference implementations are provided which could support and contribute to the development of real-time applications.

Background: Mobile health (mHealth) applications (apps) are crucial in delivering health information and services to older adults. Despite their importance, blind and visually impaired (BVI) older individuals often face significant challenges in app accessibility and usability. This study delves into the design preferences and expectations of BVI older users and underscores the necessity of user-centered design for inclusive mHealth apps.

Methods: Conducted in September 2023, the study comprised six focus group interviews. Each session involved two to four participants who began with self-introductions, followed by discussions centered on three open-ended interview questions.

Results: The study involved 14 participants: four with severe low vision and 10 totally blind. The primary design principles highlighted were "customizability" and "simplicity". The participants stressed the importance of intuitively designed main pages aligning with user patterns. Further, the participants articulated the following mHealth app feature or menu recommendations: editable profiles, emergency contact access, adaptable data presentation, data exportation, audible color details, customizable colors for varying visual needs, audible error feedback, feasible data input methods, toolbars, and habit-establishing reminders. Discussions also touched on the vital role of clear health data visualizations and comprehensible app-based health information.

Conclusions: The findings illuminate paths for software developers and health scientists working towards more inclusive mHealth solutions. It is essential during the development phase to prioritize app learnability to accommodate a broad range of users, ensuring that even those with disabilities can effectively use technological innovations to address health disparities.

Background: Barriers to attending in-person lifestyle interventions are common during pregnancy. The majority of young adults use Instagram, and pregnancy-related content abounds on this social media platform. The aims of this study were to assess interest in an Instagram-delivered gestational weight gain (GWG) intervention, examine characteristics associated with program interest, describe interest in specific program components, and to explore perceived advantages of and concerns about the proposed intervention.

Methods: English-speaking pregnant women with pre-pregnancy overweight or obesity in the US who use Instagram completed a cross-sectional online survey (N=229). Participants reported interest in a proposed Instagram-delivered GWG intervention (very/quite a bit versus somewhat/a little bit/not at all interested), demographics, and Instagram use habits. Characteristics associated with program interest were examined using logistic regression models. Responses to open-ended questions about program likes and concerns were content-analyzed.

Results: Thirty-four percent were very or quite a bit interested in an Instagram-delivered GWG intervention, and women with children, those who were more extraverted, and those with greater engagement on Instagram were more likely to report interest. Among participants with high program interest, 63-95% were interested in specific intervention components and 52-82% were willing to engage in different aspects of the intervention. Participants liked the potential for information, peer support, convenience, and accountability, but reported concerns about privacy/confidentiality, social pressure, time required, and negative psychological consequences.

Conclusions: Fostering a positive, supportive group culture may be key to leveraging Instagram to deliver a GWG intervention.

Background: The virtual care model can be used in all aspects of healthcare, such as prevention, diagnosis, treatment, and follow-up of most medical and surgical conditions. The objective of this study was to identify the current barriers to implementing and consolidating the virtual healthcare model, of "telemedicine", in Latin American countries.

Methods: A systematic review was conducted through four databases: PubMed, Scopus, Web of Science, and Virtual Health, including articles in Spanish, Portuguese, and English. A combination of Boolean operators was used with the terms "telemedicine", "telehealth", "telecare", "home care services", "remote care" and the name of each Latin American country. Articles published from January 2020 to January 2023 that reported on the barriers and challenges of using the virtual care model were included.

Results: Nineteen articles were included. Brazil (n=5) and Argentina (n=4) were the countries where there was the greatest interest to explore barriers to virtual care. The barriers identified were categorized into five main themes: (I) technological and technical issues; (II) absence of a physical examination; (III) patient's negative perceptions; (IV) negative perceptions among healthcare professionals; and (V) structural obstacles and those associated with the healthcare system. The main obstacles reported were connectivity problems, lack of a complete physical examination, issues of privacy, high risk of medical malpractice, and absence of local regulation.

Conclusions: The virtual care model is a safe and cost-effective alternative for the delivery of health services, with multiple benefits for patients and their families. The indication for the use of virtual care should be based on a risk model for patient prioritization. Likewise, the analysis of the main barriers and benefits is fundamental to consolidating this model of care and ensuring its expansion in the region.