-
Genetics in Medicine : Official Journal... Jun 2024Germline testing in pediatric cancer presents opportunities and challenges. Understanding family perspectives, experiences, and preferences will optimize integration... (Review)
Review
PURPOSE
Germline testing in pediatric cancer presents opportunities and challenges. Understanding family perspectives, experiences, and preferences will optimize integration into routine care.
METHODS
Following PRISMA guidelines, we searched four databases for studies exploring perspectives, experiences, and preferences of parents/caregivers and/or patients regarding germline testing of children with cancer. Qualitative and quantitative data was extracted, organized, and summarized by research question and themes.
RESULTS
We identified 2286 unique articles, of which 24 were included. Interest in and uptake of testing was high. Families were motivated by altruism and a desire for inheritance/causation information. Testing barriers included psychological concerns, timing of the testing approach if offered at diagnosis or in a high-risk cancer setting and privacy/discrimination. Testing experiences highlighted challenges yet also positive impacts, with results providing psychological relief and informing proactive decision-making. Timing preferences varied, however allowing time to adjust to a new diagnosis was a common theme. Most wanted to receive as many germline sequencing-related results as possible.
CONCLUSION
Findings underscore the importance of integrating germline analyses into pediatric cancer care with flexibility and support for families facing challenges. Where possible, consent should be provided at a time that suits each family's situation with access to information aligning with their needs and preferences.
PROSPERO
CRD42023444890.
PubMed: 38943478
DOI: 10.1016/j.gim.2024.101197 -
Environmental Science and Pollution... Jun 2024Indoor air quality (IAQ) in the built environment is significantly influenced by particulate matter, volatile organic compounds, and air temperature. Recently, the... (Review)
Review
Indoor air quality (IAQ) in the built environment is significantly influenced by particulate matter, volatile organic compounds, and air temperature. Recently, the Internet of Things (IoT) has been integrated to improve IAQ and safeguard human health, comfort, and productivity. This review seeks to highlight the potential of IoT integration for monitoring IAQ. Additionally, the paper details progress by researchers in developing IoT/mobile applications for IAQ monitoring, and their transformative impact in smart building, healthcare, predictive maintenance, and real-time data analysis systems. It also outlines the persistent challenges (e.g., data privacy, security, and user acceptability), hampering effective IoT implementation for IAQ monitoring. Lastly, the global developments and research landscape on IoT for IAQ monitoring were examined through bibliometric analysis (BA) of 106 publications indexed in Web of Science from 2015 to 2022. BA revealed the most significant contributing countries are India and Portugal, while the top productive institutions and researchers are Instituto Politecnico da Guarda (10.37% of TP) and Marques Goncalo (15.09% of TP), respectively. Keyword analysis revealed four major research themes: IoT, pollution, monitoring, and health. Overall, this paper provides significant insights for identifying prospective collaborators, benchmark publications, strategic funding, and institutions for future IoT-IAQ researchers.
PubMed: 38943001
DOI: 10.1007/s11356-024-34075-2 -
Cureus May 2024Non-small cell lung carcinoma (NSCLC) is a prevalent and aggressive form of lung cancer, with a poor prognosis for metastatic disease. Immunotherapy, particularly immune... (Review)
Review
Non-small cell lung carcinoma (NSCLC) is a prevalent and aggressive form of lung cancer, with a poor prognosis for metastatic disease. Immunotherapy, particularly immune checkpoint inhibitors (ICIs), has revolutionized the management of NSCLC, but response rates are highly variable. Identifying reliable predictive biomarkers is crucial to optimize patient selection and treatment outcomes. This systematic review aimed to evaluate the current state of artificial intelligence (AI) and machine learning (ML) applications in predicting the response to immunotherapy in NSCLC. A comprehensive literature search identified 19 studies that met the inclusion criteria. The studies employed diverse AI/ML techniques, including deep learning, artificial neural networks, support vector machines, and gradient boosting methods, applied to various data modalities such as medical imaging, genomic data, clinical variables, and immunohistochemical markers. Several studies demonstrated the ability of AI/ML models to accurately predict immunotherapy response, progression-free survival, and overall survival in NSCLC patients. However, challenges remain in data availability, quality, and interpretability of these models. Efforts have been made to develop interpretable AI/ML techniques, but further research is needed to improve transparency and explainability. Additionally, translating AI/ML models from research settings to clinical practice poses challenges related to regulatory approval, data privacy, and integration into existing healthcare systems. Nonetheless, the successful implementation of AI/ML models could enable personalized treatment strategies, improve treatment outcomes, and reduce unnecessary toxicities and healthcare costs associated with ineffective treatments.
PubMed: 38939246
DOI: 10.7759/cureus.61220 -
PloS One 2024The elderly is commonly susceptible to depression, the symptoms for which may overlap with natural aging or other illnesses, and therefore miss being captured by routine...
BACKGROUND
The elderly is commonly susceptible to depression, the symptoms for which may overlap with natural aging or other illnesses, and therefore miss being captured by routine screening questionnaires. Passive sensing data have been promoted as a tool for depressive symptoms detection though there is still limited evidence on its usage in the elderly. Therefore, this study aims to review current knowledge on the use of passive sensing data via smartphones and smartwatches in depressive symptom screening for the elderly.
METHOD
The search of literature was performed in PubMed, IEEE Xplore digital library, and PsycINFO. Literature investigating the use of passive sensing data to screen, monitor, and/or predict depressive symptoms in the elderly (aged 60 and above) via smartphones and/or wrist-worn wearables was included for initial screening. Studies in English from international journals published between January 2012 to September 2022 were included. The reviewed studies were further analyzed by a narrative analysis.
RESULTS
The majority of 21 included studies were conducted in Western countries with a few in Asia and Australia. Most studies adopted a cohort study design (n = 12), followed by cross-sectional design (n = 7) and a case-control design (n = 2). The most popular passive sensing data was related to sleep and physical activity using an actigraphy. Sleep characteristics, such as prolonged wakefulness after sleep onset, along with lower levels of physical activity, exhibited a significant association with depression. However, cohort studies expressed concerns regarding data quality stemming from incomplete follow-up and potential confounding effects.
CONCLUSION
Passive sensing data, such as sleep, and physical activity parameters should be promoted for depressive symptoms detection. However, the validity, reliability, feasibility, and privacy concerns still need further exploration.
Topics: Humans; Smartphone; Depression; Aged; Mass Screening; Wearable Electronic Devices; Sleep; Middle Aged; Exercise; Female
PubMed: 38935797
DOI: 10.1371/journal.pone.0304845 -
Frontiers in Digital Health 2024In the big data era, where corporations commodify health data, non-fungible tokens (NFTs) present a transformative avenue for patient empowerment and control. NFTs are...
INTRODUCTION
In the big data era, where corporations commodify health data, non-fungible tokens (NFTs) present a transformative avenue for patient empowerment and control. NFTs are unique digital assets on the blockchain, representing ownership of digital objects, including health data. By minting their data as NFTs, patients can track access, monetize its use, and build secure, private health information systems. However, research on NFTs in healthcare is in its infancy, warranting a comprehensive review.
METHODS
This study conducted a systematic literature review and thematic analysis of NFTs in healthcare to identify use cases, design models, and key challenges. Five multidisciplinary research databases (Scopus, Web of Science, Google Scholar, IEEE Explore, Elsevier Science Direct) were searched. The approach involved four stages: paper collection, inclusion/exclusion criteria application, screening, full-text reading, and quality assessment. A classification and coding framework was employed. Thematic analysis followed six steps: data familiarization, initial code generation, theme searching, theme review, theme definition/naming, and report production.
RESULTS
Analysis of 19 selected papers revealed three primary use cases: patient-centric data management, supply chain management for data provenance, and digital twin development. Notably, most solutions were prototypes or frameworks without real-world implementations. Four overarching themes emerged: data governance (ownership, tracking, privacy), data monetization (commercialization, incentivization, sharing), data protection, and data storage. The focus lies on user-controlled, private, and secure health data solutions. Additionally, data commodification is explored, with mechanisms proposed to incentivize data maintenance and sharing. NFTs are also suggested for tracking medical products in supply chains, ensuring data integrity and provenance. Ethereum and similar platforms dominate NFT minting, while compact NFT storage options are being explored for faster data access.
CONCLUSION
NFTs offer significant potential for secure, traceable, decentralized healthcare data exchange systems. However, challenges exist, including dependence on blockchain, interoperability issues, and associated costs. The review identified research gaps, such as developing dual ownership models and data pricing strategies. Building an open standard for interoperability and adoption is crucial. The scalability, security, and privacy of NFT-backed healthcare applications require further investigation. Thus, this study proposes a research agenda for adopting NFTs in healthcare, focusing on governance, storage models, and perceptions.
PubMed: 38919876
DOI: 10.3389/fdgth.2024.1377531 -
Frontiers in Medicine 2024The rapid spread of COVID-19 pandemic across the world has not only disturbed the global economy but also raised the demand for accurate disease detection models....
The rapid spread of COVID-19 pandemic across the world has not only disturbed the global economy but also raised the demand for accurate disease detection models. Although many studies have proposed effective solutions for the early detection and prediction of COVID-19 with Machine Learning (ML) and Deep learning (DL) based techniques, but these models remain vulnerable to data privacy and security breaches. To overcome the challenges of existing systems, we introduced Adaptive Differential Privacy-based Federated Learning (DPFL) model for predicting COVID-19 disease from chest X-ray images which introduces an innovative adaptive mechanism that dynamically adjusts privacy levels based on real-time data sensitivity analysis, improving the practical applicability of Federated Learning (FL) in diverse healthcare environments. We compared and analyzed the performance of this distributed learning model with a traditional centralized model. Moreover, we enhance the model by integrating a FL approach with an early stopping mechanism to achieve efficient COVID-19 prediction with minimal communication overhead. To ensure privacy without compromising model utility and accuracy, we evaluated the proposed model under various noise scales. Finally, we discussed strategies for increasing the model's accuracy while maintaining robustness as well as privacy.
PubMed: 38912338
DOI: 10.3389/fmed.2024.1409314 -
Proceedings (Baylor University. Medical... 2024Colorectal cancer (CRC) presents significant mortality risks, underscoring the urgency of timely diagnosis and intervention. Advanced stages of CRC are managed through...
Colorectal cancer (CRC) presents significant mortality risks, underscoring the urgency of timely diagnosis and intervention. Advanced stages of CRC are managed through chemotherapy, targeted therapy, immunotherapy, radiotherapy, and surgery. Immunotherapy, while effective in bolstering the immune system against cancer cells, often carries toxic side effects, including colitis. This study aimed to evaluate the incidence of colitis in patients with metastatic CRC (mCRC) undergoing various immunotherapy treatments. Through a systematic search of Google Scholar and PubMed databases from inception until November 2023, nine relevant studies were identified. Subgroup analyses revealed a higher incidence of colitis, particularly in patients treated with anti-cytotoxic T-lymphocyte-associated molecule-4 (anti-CTLA-4) and combination therapies compared to monotherapy with programmed cell death receptor-1 (PD-1) or programmed cell death ligand receptor-1 (PDL-1) inhibitors. Notably, naive-treated metastatic CRC patients exhibited elevated colitis incidences compared to those previously treated. In conclusion, anti-CTLA-4 and combination therapies, such as nivolumab plus ipilimumab, were associated with increased colitis occurrences in metastatic CRC patients, highlighting the need for vigilant monitoring and management strategies, especially in immunotherapy-naive individuals.
PubMed: 38910824
DOI: 10.1080/08998280.2024.2342723 -
Cureus May 2024Globally, mental disorders have become a significant burden, affecting a substantial number of individuals. Accessing mental health services is crucial for effective... (Review)
Review
Globally, mental disorders have become a significant burden, affecting a substantial number of individuals. Accessing mental health services is crucial for effective treatment and improving outcomes. However, significant barriers to seeking health services can impede access and contribute to the treatment gap. This systematic review aims to identify and analyze the perceived barriers to seeking mental health services in Saudi Arabia. A comprehensive search was conducted among four databases (PubMed, Web of Science, ProQuest, and Science Direct) to identify relevant studies published between 2018 and 2023. Studies that investigated barriers that could prevent psychiatric patients from seeking mental health services in Saudi Arabia were included. Data extraction and synthesis were performed to identify common themes and barriers. The review included a total of six studies that examined barriers to seeking mental health services in Saudi Arabia. The identified barriers encompassed a range of factors, including stigma, lack of awareness, concerns about confidentiality, limited availability of services, negative attitudes toward professional help, and cultural and religious beliefs. The lack of knowledge, as well as the negative attitude toward mental health care, was a perceived barrier to help-seeking in most studies. Furthermore, stigma was consistently reported as a predominant barrier, preventing individuals from seeking mental health care. This systematic review highlights the barriers to seeking mental health services in Saudi Arabia. Addressing these barriers is essential for improving access to mental healthcare and reducing the treatment gap. Strategies should focus on destigmatization efforts, increasing awareness, ensuring confidentiality and privacy, providing culturally appropriate care, and addressing structural limitations. By implementing these strategies, healthcare systems can improve access to mental health care and the overall well-being of individuals experiencing mental disorders in Saudi Arabia.
PubMed: 38883041
DOI: 10.7759/cureus.60363 -
The Australian and New Zealand Journal... Jun 2024Emergency departments the world over have seen substantial increases in the number of individuals presenting for mental health reasons. However, we have a limited... (Review)
Review
OBJECTIVE
Emergency departments the world over have seen substantial increases in the number of individuals presenting for mental health reasons. However, we have a limited understanding of their experiences of care. The aim of this review was to systematically examine and synthesise literature relating to the experiences of individuals presenting to emergency department for mental health reasons.
METHODS
We followed Pluye and Hong's seven-step approach to conducting a systematic mixed studies review. Studies were included if they investigated adult mental health experiences in emergency department from the users' perspective. Studies describing proxy, carer/family or care provider experiences were excluded.
RESULTS
Sixteen studies were included. Thematic synthesis identified three themes and associated subthemes. Theme 1 - - comprised: Feeling understood and heard; Engaging in judgement-free interactions; Receiving therapeutic support; Being actively and passively invalidated for presenting to the ED; and Once a psych patient, always a psych patient. Theme 2 - - comprised: Waiting for an 'extremely' long time; and Lacking privacy. Theme 3 was .
CONCLUSIONS
The experiences described by individuals presenting to emergency department for mental health reasons were mostly poor. The results illustrate a need for increased mental health education and training for all emergency department staff. Employment of specialist and lived experience workers should also be prioritised to support more therapeutic relationships and emergency department environments. In addition, greater investment in mental health systems is required to manage the current crisis and ensure future sustainability.
PubMed: 38880783
DOI: 10.1177/00048674241259918 -
Revista Da Escola de Enfermagem Da U S P 2024To identify and analyze the features and quality of self-management support of mobile applications available in Brazil for chronic low back pain in adults.
OBJECTIVE
To identify and analyze the features and quality of self-management support of mobile applications available in Brazil for chronic low back pain in adults.
METHOD
A systematic review on the Apple Store® and Google Play® digital platforms. The Self-Management Support Assessment Tool scale was used to assess self-management support and the Institute for Healthcare Informatics Functionality Score scale was used to assess functionality.
RESULTS
Seventeen applications were selected, which included around seven self-management skills. The applications that met the majority of self-management support skills were Pathways, Branch, Pancea, Pain Navigator, and Curable. The Curable, Branch and MoovButh applications had the highest scores, with ten features on the functionality scale.
CONCLUSION
Some applications have the potential to complement in-person treatment in terms of validity, acceptability and clinical usefulness in pain management. However, barriers such as lack of partnership between healthcare providers and patients, limited evidence-based content, social support, cultural relevance, cost, language, security and privacy can limit their sustained use. PROSPERO Registration: CRD42022382686.
Topics: Low Back Pain; Humans; Self-Management; Mobile Applications; Brazil; Adult; Chronic Pain
PubMed: 38875500
DOI: 10.1590/1980-220X-REEUSP-2023-0326en