Tecnologias em saúde da hanseníase no âmbito da Atenção Primária à Saúde: revisão de escopo / Leprosy health technologies in Primary Health Care: a scoping review / Tecnologías en salud de la lepra en el ámbito de la Atención Primaria a la Salud: revisión del alcance

Objetivo: mapear as tecnologias em saúde para manejo no cuidado à pessoa com hanseníase na Atenção Primária à Saúde. Método: revisão de escopo baseada na metodologia do JBI, em seis bases de dados, seguindo a checklist Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. Foram incluídos estudos publicados em qualquer idioma, com diferentes abordagens metodológicas. Resultados: os 14 estudos incluídos na revisão mostram que a aplicabilidade de tecnologias para o manejo do cuidado a pessoa com hanseníase na Atenção Primária à Saúde, possibilitam a confirmação de diagnóstico, acompanhamento, monitoramento e prevenção de incapacidades. Conclusão: nota-se que tecnologia em saúde se apresentam como ferramentas que auxiliam no processo de cuidado na assistência a pessoas com hanseníase, a fim de permitir aos profissionais de saúde conhecimento sobre a doença, proporcionando qualidade na sua prática de saúde.

Objective: to map health technologies for managing the care of people with leprosy in Primary Health Care. Method: scoping review based on the JBI methodology in six databases, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. Studies published in any language were included, with different methodological approaches. Results: the 14 studies included in the review show that the applicability of technologies for the management of care for people with leprosy in Primary Health Care makes it possible to confirm diagnosis, follow-up, monitoring, and prevention of disabilities. Conclusion: it has been noted that health technologies are tools that help in the process of caring for people with leprosy, to provide health professionals with knowledge about the disease, improving quality of health practice.

Objetivo: mapear las tecnologías en salud para el manejo en el cuidado a la persona con lepra en la Atención Primaria a la Salud. Método: revisión del alcance basada en la metodología del JBI, en seis bases de datos, siguiendo la checklist Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews. Se han incluido estudios publicados en cualquier idioma, con diferentes enfoques metodológicos. Resultados: los 14 estudios incluidos en la revisión muestran que la aplicabilidad de tecnologías para el manejo del cuidado a la persona con lepra en la Atención Primaria a la Salud posibilita la confirmación de diagnóstico, seguimiento, monitoreo y prevención de incapacidades. Conclusión: se percibe que las tecnologías en salud se presentan como herramientas que ayudan en el proceso de cuidado en la asistencia a personas con lepra, con fines de permitir a los profesionales de salud el acceso al conocimiento sobre la enfermedad, proporcionando calidad en su práctica de salud.

The Role of Informatics in Advancing Emergency Medicine: A Comprehensive Review.

Emergency Medicine Informatics (EMI) is a rapidly advancing field that utilizes information technology to enhance the delivery of emergency medical services. This comprehensive literature review explores the key components, benefits, challenges, and future directions of EMI. By integrating Electronic Health Records, Clinical Decision Support Systems, telemedicine, data analytics, interoperability, and patient monitoring systems, EMI has the potential to significantly improve patient outcomes and operational efficiency in emergency departments. However, the implementation of these technologies faces several obstacles, including interoperability issues, data security concerns, usability challenges, and high costs. This review highlights how these technologies are transforming emergency care, discusses the barriers to their implementation, and provides perspectives on potential solutions and future progress in the field.

Understanding and supporting young people exposed to online misinformation about eczema.

The traditional patient-clinician relationship is changing as young people and their families often now turn to the internet and social media for health information, treatment advice and support. Much of that content, however, is unregulated, unverified and inaccurate, which leads to the dissemination of health misinformation. Healthcare professionals working with young people with eczema and their families need to understand why young people turn to social media for health information, identify trends in online misinformation about eczema, and provide alternative, trustworthy sources of information. This article discusses particular areas of online misinformation about eczema as well as dermatology content on specific social media platforms. It also reports the views of young people on the youth panel of the charity Eczema Outreach Support about different social media platforms.

Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients?

It is commonly accepted that clinicians are ethically obligated to disclose their use of medical machine learning systems to patients, and that failure to do so would amount to a moral fault for which clinicians ought to be held accountable. Call this 'the disclosure thesis.' Four main arguments have been, or could be, given to support the disclosure thesis in the ethics literature: the risk-based argument, the rights-based argument, the materiality argument and the autonomy argument. In this article, I argue that each of these four arguments are unconvincing, and therefore, that the disclosure thesis ought to be rejected. I suggest that mandating disclosure may also even risk harming patients by providing stakeholders with a way to avoid accountability for harm that results from improper applications or uses of these systems.

The barriers and challenges of using health information technology in medication administration process for pediatrics and neonates: A qualitative study.

Background and Aims: Children and neonates are more susceptible to diseases and are a vulnerable group in medication administration (MA). Nurses interact directly with patients, ensuring safety and preventing unintended outcomes. Health Information Technology (HIT) has transformed health care, aiding nurses in decision-making and treatment responses. Despite its benefits, technology presents challenges that must be overcome to facilitate the nursing practice. Therefore, the present study aimed to explore the barriers to HIT use in the process of MA in children and neonates in a developing country. Methods: Semi-structured face-to-face interviews were conducted with 22 health care professionals across seven pediatric and neonatal settings. Also, observations were made of these settings for 3 weeks. A qualitative analysis was performed using the conventional content analysis method, recommended by Colaizzi's seven-step approach. Results: The results showed that the most significant barriers to adopting technology in MA process could be classified into two main categories: "inappropriate management approaches" with two sub-categories ("Managers' reluctance to adopt new technology", "lack of adequate budget for hardware resources"), and "resistance to change" with two sub-categories ("A desire to use conventional (traditional) approaches in care", "cultural issues and impracticality of providing some specialized technology services"). Conclusion: The findings revealed MA process complexities, which have been insufficiently examined in the current literature. We have highlighted the need for improved "effectiveness of HIT systems in administering medication processes, budget for hardware resources, and managers" interest in using new technology. The present findings can guide the development of more effective and user-friendly HIT systems in pediatric and neonatal care settings.

How Do We Better Serve Excluded Populations When Delivering Digital Health Technology? Inclusion Evaluation of a Digital Musculoskeletal Self-Management Solution.

BACKGROUND: Digital self-management platforms have been proposed as a solution to better support people manage their musculoskeletal (MSK) condition. However, research studies often explicitly exclude people who can't access internet connected devices. An important consideration is that digital exclusion (for people without access to an internet connected device) from these new digital options will worsen already existing inequality and inequity in healthcare. AIM: To evaluate the acceptability and potential causes of digital exclusion of the South West London (SWL) MSK self-management app. OBJECTIVES: (1) Explore why some patients are not using the app and any barriers they have. Explore why some clinicians are not prescribing the app. (2) Make recommendations, based on these findings, to improve digital inclusion. METHODS/DESIGN: An explanatory sequential mixed method service evaluation that consisted of initial questionnaires to identify suitable collaborators, followed by structured interviews of patients and clinicians. RESULTS: Following a comprehensive data analysis, 10 sub-themes were grouped into four main themes: (1) Beliefs: Importance of understanding the role of digital; face to face consultation is still valued and needed. (2) Barriers: Lack of digital literacy; lack of physical examination/contact with a clinician. (3) Enablers: Immediate access to advice and information; perceived better control over health; ease of use; no appointment needed. (4) Solutions: Support and training; greater awareness. CONCLUSIONS: As digital health technology develops, strategies must change, requiring deliberate work and investments to improve inclusion. Our findings highlight how digital technology design and delivery can be adapted to address the causes of digital exclusion.

Feasibility of Holographic Team Training Simulation: An Information Technology (IT) Perspective for Healthcare and Educational Institutions.

Introduction This study examines the feasibility and practicality of holographic display technology (HDT) in health professions education from an information technology (IT) support staff perspective. Considering a lack of feasibility studies for introducing newer technologies, it focuses on feasibility's acceptance and practicality dimensions during a simulation-based team training workshop. Method A multimethod design feasibility study assessed the acceptability and practicality of HDT for the IT staff through a Unified Theory of Acceptance and Use of Technology (UTAUT)-based survey and a focus group discussion after a team training simulation workshop.  Results Quantitative results showed a reliability coefficient (α=0.83) and a positive correlation between facilitating conditions (FC) and effort expectancy (EE), self-efficacy (SE) and social influence (SI), SI and attitude toward technology (AT), SE and attitude to use, and behavioral intention (BI) and EE. Negative correlations included SE and performance expectancy (PE), comfort with technology and FC, comfort and anxiety, and attitude to use and experience. Qualitative findings yielded four key themes from the focus group discussions that corroborated the quantitative findings.  Discussion The study findings highlight the promising potential for HDT feasibility in educational settings. Future research should extend to diverse contexts to validate these preliminary findings and explore broader educational applications.

Online Medical Education During the COVID-19 Pandemic: Experience and Perception of Second-Year Bachelor of Medicine and Bachelor of Surgery (MBBS) Students in a Tertiary Care Hospital in Assam, India.

Introduction  The onset of the COVID-19 pandemic-imposed changes in educational practices worldwide. It forced medical institutions to adapt to an online teaching mode, which has advantages and disadvantages. The present study aims to investigate the perceptions of medical students regarding online learning during COVID-19. Purpose This study assesses whether online teaching methods are feasible, suitable, preferred, and effective compared to traditional in-class teaching for Bachelor of Medicine and Bachelor of Surgery (MBBS) students. Methodology It is a cross-sectional descriptive study conducted on 120 second-year MBBS students of Silchar Medical College, Silchar, India. Using Google Forms, a closed-ended pre-formed questionnaire was distributed to the students to get feedback on the advantages and challenges of online learning. The respondents were prompted to respond to the questions on a Likert scale ranging from 1 to 5. The data were analyzed using Excel 16 (Microsoft® Corp., Redmond, WA). Results The majority of the participants positively supported the feasibility, suitability, utility, and effectiveness of online learning. The most preferred online web conferencing platform for e-learning in the survey was Google Classroom. Despite the advantages, online medical education was limited by network-related issues and a lack of socializing with peers. Moreover, looking forward, about 90% of the students preferred online or a combination of online and classroom teaching. Conclusion The study highlights the positive attitude toward online education among second-year MBBS Students in a tertiary care hospital in Assam. It provides valuable insights into the challenges faced in e-learning in medical education, forming the groundwork for devising future education strategies.

Children and young people's preferences and needs when using health technology to self-manage a long-term condition: a scoping review.

BACKGROUND: The use of patient-facing health technologies to manage long-term conditions (LTCs) is increasing; however, children and young people (CYP) may have preferences about health technologies which they interact or engage with, that influence their decision to use these technologies. AIMS: To identify CYP's reported preferences about health technologies to self-manage LTCs. METHODS: We undertook a scoping review, searching MEDLINE, PsycINFO and CINAHL in July 2021. Searches were limited to papers published between January 2015 and July 2021. We included any health technologies used to manage physical and mental LTCs. Qualitative content analysis of study data was undertaken to categorise data into themes and quantitative data were described and visually represented. We engaged CYP with LTCs to support the review design, interpretation of findings and development of recommendations. RESULTS: 161 journal articles were included, describing preferences of CYP. Most included studies were undertaken in high-income countries. CYP's main preferences and needs were: design and functionality; privacy and sharing; customisation and personalisation of the technology; and interaction options within the technology. CONCLUSIONS: This review highlights important preferences and needs that CYP may have before using technologies to self-manage their LTC. These should be considered when developing technology for this population. Future research should involve CYP throughout the development of the technologies, from identifying their unmet needs through to final design, development, evaluation and implementation of the intervention.

Design and architecture of the CARA infrastructure for visualising and benchmarking patient data from general practice.

OBJECTIVE: Collaborate, Analyse, Research and Audit (CARA) project set out to provide an infrastructure to enable Irish general practitioners (GPs) to use their routinely collected patient management software (PMS) data to better understand their patient population, disease management and prescribing through data dashboards. This paper explains the design and development of the CARA infrastructure. METHODS: The first exemplar dashboard was developed with GPs and focused on antibiotic prescribing to develop and showcase the proposed infrastructure. The data integration process involved extracting, loading and transforming de-identified patient data into data models which connect to the interactive dashboards for GPs to visualise, compare and audit their data. RESULTS: The architecture of the CARA infrastructure includes two main sections: extract, load and transform process (ELT, de-identified patient data into data models) and a Representational State Transfer Application Programming Interface (REST API) (which provides the security barrier between the data models and their visualisation on the CARA dashboard). CARAconnect was created to facilitate the extraction and de-identification of patient data from the practice database. DISCUSSION: The CARA infrastructure allows seamless connectivity with and compatibility with the main PMS in Irish general practice and provides a reproducible template to access and visualise patient data. CARA includes two dashboards, a practice overview and a topic-specific dashboard (example focused on antibiotic prescribing), which includes an audit tool, filters (within practice) and between-practice comparisons. CONCLUSION: CARA supports evidence-based decision-making by providing GPs with valuable insights through interactive data dashboards to optimise patient care, identify potential areas for improvement and benchmark their performance against other practices.Supplementary file 1. Graphical abstract.

Barriers and facilitators to implementing psychosocial digital health interventions for older adults presenting to emergency departments: a scoping review protocol.

INTRODUCTION: Older adults can face challenges when seeking care from emergency departments (EDs) due to presenting with multiple comorbidities and non-specific symptoms. Psychosocial care is a possible target to help improve ED care for this population. It is possible that digital health technologies can be implemented within emergency settings to improve the provision of psychosocial care. However, it is unclear what the barriers and facilitators are to implementing digital psychosocial interventions for older adults presenting to the ED. Therefore, the scoping review aims to determine what are these barriers and facilitators. METHODS AND ANALYSIS: The scoping review will be conducted in line with the Joanna Briggs Institute guidelines and will use the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist. The databases Medline, Embase, PsycINFO and Scopus will be searched. The search strategy will be developed in consultation with a specialist research librarian and will cover three key concepts: EDs, digital health technologies and older adults. Additionally, the first 100 hits of a Google Scholar search will be screened for inclusion. We will include both qualitative and quantitative studies that investigate ED digital interventions for psychosocial care where the primary focus is the views, attitudes, experiences and perceptions of patients, families and staff. After extracting all data, analysis and synthesis will follow the 'best-fit framework synthesis' approach and the Theoretical Domains Framework will be used to identify barriers and facilitators. ETHICS AND DISSEMINATION: Ethics approval is not required for this scoping review since only publicly available data will be analysed and appraised. The findings of the scoping review will be disseminated through peer-reviewed publications and conference presentations.

Patient satisfaction and digital health in primary health care: a scoping review protocol.

Introduction: Using digital health in primary health care (PHC) contributes to reducing costs and travel time, achieving global development goals, improving access, quality and longitudinality of care, and managing health crises. Its evaluation must go beyond the technical-operational aspects to include patient satisfaction, a key element in assessing the quality of care. Objective: To identify and map patient satisfaction (expectations, desires, cultural values) about the adoption of digital health strategies and assess their impact on the quality of care in PHC. Methods: The review will follow the recommendations proposed by the Joanna's Briggs Institute (JBI) manual, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) and the methodology proposed by Arksey and O'Malley and Levac et al. and will be conducted in nine stages. The search will be conducted in health studies databases (MEDLINE via PubMed, EMBASE, CINAHL, Web of Science, and BVS), gray literature, and preprint repositories (Google Scholar and MedRxiv). Two reviewers will select the studies, and the third will analyze possible conflicts. The inclusion criteria comprise studies that have been made available in their entirety, whether they are primary studies or short communications, as well as the following materials extracted from the gray literature: preprints, manuals, government documents, books, guidelines, theses and dissertations. Exclusion criteria include literature reviews, abstracts, books, conference archives, letters to the editor, duplicates and opinion articles. Data will be analyzed by content analysis and inferential statistics. This protocol is registered on the Open Science Framework (OSF) under DOI 10.17605/OSF.IO/PUJDB. Results: The study aims to understand aspects related to the expectations, desires, and cultural values of patients from different countries, as well as the strengths and critical nodes of the use of digital health on the quality of care in PHC.

Applying Large Language Models to Interpret Qualitative Interviews in Healthcare.

To address the persistent challenges in healthcare, it is crucial to incorporate firsthand experiences and perspectives from stakeholders such as patients and healthcare professionals. However, the current process of collecting, analyzing and interpreting qualitative data, such as interviews, is slow and labor-intensive. To expedite this process and enhance efficiency, automated approaches aim to extract meaningful themes and accelerate interpretation, but current approaches such as topic modeling reduce the richness of the raw data. Here, we evaluate whether Large Language Models can be used to support the semi-automated interpretation of qualitative interview data. We compare a novel approach based on LLMs to topic modeling approaches and to manually identified themes across two different qualitative interview datasets. This exploratory study finds that LLMs have the potential to support incorporating human perspectives more widely in the advancement of sustainable healthcare systems.

The Integration of Information Technology in the Management and Organization of Nursing Care in a Hospital Environment: A Scoping Review.

The adoption of health technologies is occurring on an unprecedented scale, with enormous potential to improve the health of populations. In this context, information technology (IT) in nursing has emerged with a focus on quality and safety of care for the benefit of the patient. There is insufficient reliable evidence demonstrating how the integration of IT in nursing care influences methodologies for managing and organizing care in terms of structure and care practice, justifying a scoping review that synthesizes the knowledge produced so far. Online databases were used to identify papers published in 2012-2023, from which we selected nine publications that used information technology in the nursing care processes. The participants were hospital nurses and nurse managers. The results show that the integration of IT in healthcare organizations impacts the management and organization of nursing care, and changes in structure, process reorganization, management, training, and the development of nurses' skills. To minimize this impact, the organizational structure must be prepared for a cultural change, with well-defined and communicated policies and procedures, and strong leadership. Within the teams, the importance of process reorganization, continuous training, and skill development emerges, thus enhancing the integration of IT into practice environments in conjunction with care.

Needs-Assessment for an Artificial Intelligence-Based Chatbot for Pharmacists in HIV Care: Results from a Knowledge-Attitudes-Practices Survey.

BACKGROUND: Pharmacists need up-to-date knowledge and decision-making support in HIV care. We aim to develop MARVIN-Pharma, an adapted artificial intelligence-based chatbot initially for people with HIV, to assist pharmacists in considering evidence-based needs. METHODS: From December 2022 to December 2023, an online needs-assessment survey evaluated Québec pharmacists' knowledge, attitudes, involvement, and barriers relative to HIV care, alongside perceptions relevant to the usability of MARVIN-Pharma. Recruitment involved convenience and snowball sampling, targeting National HIV and Hepatitis Mentoring Program affiliates. RESULTS: Forty-one pharmacists (28 community, 13 hospital-based) across 15 Québec municipalities participated. Participants perceived their HIV knowledge as moderate (M = 3.74/6). They held largely favorable attitudes towards providing HIV care (M = 4.02/6). They reported a "little" involvement in the delivery of HIV care services (M = 2.08/5), most often ART adherence counseling, refilling, and monitoring. The most common barriers reported to HIV care delivery were a lack of time, staff resources, clinical tools, and HIV information/training, with pharmacists at least somewhat agreeing that they experienced each (M ≥ 4.00/6). On average, MARVIN-Pharma's acceptability and compatibility were in the 'undecided' range (M = 4.34, M = 4.13/7, respectively), while pharmacists agreed to their self-efficacy to use online health services (M = 5.6/7). CONCLUSION: MARVIN-Pharma might help address pharmacists' knowledge gaps and barriers to HIV treatment and care, but pharmacist engagement in the chatbot's development seems vital for its future uptake and usability.

Remote monitoring system to support positive airway pressure therapy in patients with obstructive sleep apnea: a multi-center randomized controlled trial.

PURPOSE: To develop and evaluate an intervention tailored to patients' needs to increase the rate of positive airway pressure (PAP) adherence in patients afflicted with obstructive sleep apnea (OSA), who undergo PAP therapy. METHODS: A multi-center, 3 parallel-arm, randomized, controlled trial was conducted. Participants with OSA who undergo a PAP therapy were randomized to one of three groups: control arm (usual care), educational booklet arm, and mobile-based application arm. PAP usage, the percentage of days using the device for more than 4 h, change in knowledge, risk perception, outcome expectancy, self-efficacy, and ESS were assessed before and one month after interventions in the three groups. Also, the application usage data were analyzed. RESULTS: The result showed the change in average PAP usage, knowledge, risk perception, and self-efficacy in the application group was significantly higher than the control and booklet groups. Also, the change in use for more than 4 h in the application group was significantly higher than the control group. Comparing the actual and patients' self-report PAP use indicated patients' self-report about the use of the device is about 50 min (0.8 h) more than the actual amount of use. CONCLUSION: The study results indicated that the improvement of primary and secondary outcomes in adherence to PAP was significantly higher in the application group than in other study groups. Given the increasingly penetrating influence of smartphone-based technologies, it seems that mobile-based applications could potentially be adopted in the population of patients with OSA. CLINICAL TRIALS REGISTRATION: IRCT2017092236314N1; https://en.irct.ir/trial/27185.

Translating Between Standardization and Local Fit in Health Information Technology.

The design of health information technology (HIT) requires balancing standardization and local adjustment. Preliminary study findings show that interactions between stakeholder shared attention and HIT translational 'boundary object' features ensure that HIT serves diverse stakeholders' purposes and needs. This can support subsequent implementation and patient safety.

Integration of Artificial Intelligence in Pediatric Education: Perspectives from Pediatric Medical Educators and Residents.

OBJECTIVES: The use of technology has rapidly increased in the past century. Artificial intelligence (AI) and information technology (IT) are now applied in healthcare and medical education. The purpose of this study was to assess the readiness of Indonesian teaching staff and pediatric residents for AI integration into the curriculum. METHODS: An anonymous online survey was distributed among teaching staff and pediatric residents from 15 national universities. The questionnaire consisted of two sections: demographic information and questions regarding the use of IT and AI in child health education. Responses were collected using a 5-point Likert scale: strongly disagree, disagree, neutral, agree, and highly agree. RESULTS: A total of 728 pediatric residents and 196 teaching staff from 15 national universities participated in the survey. Over half of the respondents were familiar with the terms IT and AI. The majority agreed that IT and AI have simplified the process of learning theories and skills. All participants were in favor of sharing data to facilitate the development of AI and expressed readiness to incorporate IT and AI into their teaching tools. CONCLUSIONS: The findings of our study indicate that pediatric residents and teaching staff are ready to implement AI in medical education.