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Journal of Clinical Tuberculosis and... May 2024Virtual modes of tuberculosis (TB) treatment monitoring have become increasingly relevant in the last decade with the advancements and increasing accessibility of... (Review)
Review
Virtual modes of tuberculosis (TB) treatment monitoring have become increasingly relevant in the last decade with the advancements and increasing accessibility of technology. We conducted a systematic review comparing people with TB's perceptions of standard directly observed therapy (DOT) versus video directly observed therapy (vDOT). Studies were obtained from MEDLINE and EMBASE between January 1, 1974 and February 4, 2021. Of the 22 articles reviewed, a qualitative thematic analysis was performed, drawing on common themes from people with TB's perception of their care. 21 studies showed relative preference for and acceptance of vDOT over DOT. Factors that increased acceptability toward vDOT included cost and time saving, personal sense of empowerment, convenience, and privacy. Studies also showed greater adherence to treatment and subsequent improved health outcomes. vDOT has the potential to be an empowering, person-centered treatment modality for TB therapy. The role of social determinants such as place of residence, access to technology, and patient-provider communication requires further exploration.
PubMed: 38380432
DOI: 10.1016/j.jctube.2023.100406 -
BMC Public Health Feb 2024Migrants and refugees face unprecedented inequalities in accessing sexual and reproductive health (SRH) in developed and developing countries. Most attention has focused...
BACKGROUND
Migrants and refugees face unprecedented inequalities in accessing sexual and reproductive health (SRH) in developed and developing countries. Most attention has focused on the rich world perspective, while there are huge numbers of migrants and refugees moving towards less developed countries. This article synthesizes the barriers to proper SRH care from low and middle-income countries perspective.
METHODS
We performed a systematic review of articles containing primary source qualitative and quantitative studies with thick qualitative descriptions. Articles from various databases, including PubMed, Science Direct, HINARI, and Google Scholar, published between 2012 and 2022 were included. Because the context differed, we excluded articles dealing with migrants and refugees from low- and middle-income countries living in high-income countries. To select articles, a preferred reporting item for systematic reviews and meta-analyses (PRISMA) was used. The articles' quality was assessed using the standard QASP checklist. We used a socio-ecological model to investigate barriers at various levels, and thematic analysis was used to identify the strongest themes at each level of the model. This synthesis is registered under PROSPERO number CRD42022341460.
RESULTS
We selected fifteen articles from a total of 985 for the final analysis. The results show that despite the diversity of the participants' homes and countries of origin, their experiences using SRH services were quite similar. Most female migrants and refugees claimed to have encountered discrimination from service providers, and linguistic and cultural obstacles played a significant role in their experiences. In nations lacking universal healthcare coverage, the cost of care was a barrier to the use of SRH services. Other main obstacles to using SRH services were a lack of knowledge about these programs, worries about privacy, inadequate communication, stigma in the community, and gender-related power imbalances.
CONCLUSION
To enhance the use of SRH by female migrants and refugees, it is vital to provide person-centered care and involve husbands, parents, in-laws, and communities in SRH coproduction. Training on cultural competency, compassion, and respect must be provided to healthcare personnel. Increasing financial access for migrant and refugee healthcare is crucial, as is meeting their basic requirements.
Topics: Humans; Female; Refugees; Developing Countries; Health Services Accessibility; Transients and Migrants; Sexual Behavior; Reproductive Health
PubMed: 38373954
DOI: 10.1186/s12889-024-17916-0 -
Journal of Medical Internet Research Feb 2024Emerging digital health technology has moved into the reproductive health market for female individuals. In the past, mobile health apps have been used to monitor the...
BACKGROUND
Emerging digital health technology has moved into the reproductive health market for female individuals. In the past, mobile health apps have been used to monitor the menstrual cycle using manual entry. New technological trends involve the use of wearable devices to track fertility by assessing physiological changes such as temperature, heart rate, and respiratory rate.
OBJECTIVE
The primary aims of this study are to review the types of wearables that have been developed and evaluated for menstrual cycle tracking and to examine whether they may detect changes in the menstrual cycle in female individuals. Another aim is to review whether these devices are effective for tracking various stages in the menstrual cycle including ovulation and menstruation. Finally, the secondary aim is to assess whether the studies have validated their findings by reporting accuracy and sensitivity.
METHODS
A review of PubMed or MEDLINE was undertaken to evaluate wearable devices for their effectiveness in predicting fertility and differentiating between the different stages of the menstrual cycle.
RESULTS
Fertility cycle-tracking wearables include devices that can be worn on the wrists, on the fingers, intravaginally, and inside the ear. Wearable devices hold promise for predicting different stages of the menstrual cycle including the fertile window and may be used by female individuals as part of their reproductive health. Most devices had high accuracy for detecting fertility and were able to differentiate between the luteal phase (early and late), fertile window, and menstruation by assessing changes in heart rate, heart rate variability, temperature, and respiratory rate.
CONCLUSIONS
More research is needed to evaluate consumer perspectives on reproductive technology for monitoring fertility, and ethical issues around the privacy of digital data need to be addressed. Additionally, there is also a need for more studies to validate and confirm this research, given its scarcity, especially in relation to changes in respiratory rate as a proxy for reproductive cycle staging.
Topics: Female; Humans; Fertility; Heart Rate; Menstrual Cycle; Menstruation; Reproductive Health; Wearable Electronic Devices
PubMed: 38358798
DOI: 10.2196/45139 -
Journal of Medical Systems Feb 2024This systematic review examines the recent use of artificial intelligence, particularly machine learning, in the management of operating rooms. A total of 22 selected... (Review)
Review
This systematic review examines the recent use of artificial intelligence, particularly machine learning, in the management of operating rooms. A total of 22 selected studies from February 2019 to September 2023 are analyzed. The review emphasizes the significant impact of AI on predicting surgical case durations, optimizing post-anesthesia care unit resource allocation, and detecting surgical case cancellations. Machine learning algorithms such as XGBoost, random forest, and neural networks have demonstrated their effectiveness in improving prediction accuracy and resource utilization. However, challenges such as data access and privacy concerns are acknowledged. The review highlights the evolving nature of artificial intelligence in perioperative medicine research and the need for continued innovation to harness artificial intelligence's transformative potential for healthcare administrators, practitioners, and patients. Ultimately, artificial intelligence integration in operative room management promises to enhance healthcare efficiency and patient outcomes.
Topics: Humans; Artificial Intelligence; Operating Rooms; Neural Networks, Computer; Algorithms; Machine Learning
PubMed: 38353755
DOI: 10.1007/s10916-024-02038-2 -
Medical Science Monitor : International... Feb 2024Telemedicine technologies allow distribution of health-related services and information and can include electronic and telecommunication technologies, remote patient and...
A Systematic Review of Publications on Perceptions and Management of Chronic Medical Conditions Using Telemedicine Remote Consultations by Primary Healthcare Professionals April 2020 to December 2021 During the COVID-19 Pandemic.
Telemedicine technologies allow distribution of health-related services and information and can include electronic and telecommunication technologies, remote patient and clinician contact, referral and prescribing, patient education, and monitoring. This systematic review aimed to evaluate publications on the perceptions and management of chronic medical conditions using telehealth remote consultations by primary healthcare professionals between April 2020 and December 2021 during the COVID-19 pandemic. Electronic databases, including Cinhal, PubMed, Science Direct, and ProQuest were searched to extract qualitative studies relevant to the topic. Inclusion criteria were developed based on the Population, Exposure, and Outcomes scoping framework. The target population was healthcare professionals working in primary care settings. Included studies encompassed various types of telemedicine, such as synchronous telemedicine, video conferencing, telephone conversations, and smart devices. Eight studies were included. Synchronous telemedicine was highly effective in ensuring the continuity of care and treatment, providing patients with convenience, improved access to treatment, and earlier disease management. Video conferencing and telephone consultations were the most common methods used. Challenges included concerns about patient privacy, technology literacy, and acceptance. Telemedicine was commended for its ability to provide access to immediate expert medical advice and eliminate the need for long-distance travel, contributing to increased patient compliance. Synchronous telemedicine is a promising solution for managing chronic conditions during and after the COVID-19 pandemic, offering benefits to patients and healthcare professionals. To maximize its potential, concerns regarding patient privacy, confidentiality, and technology literacy need to be addressed. Proper legislation and regulations are required for long-term success of telemedicine, making it a valuable component of healthcare systems.
Topics: Humans; Remote Consultation; COVID-19; Pandemics; Telemedicine; Chronic Disease; Primary Health Care
PubMed: 38341609
DOI: 10.12659/MSM.943383 -
Cell Reports. Medicine Feb 2024Federated learning (FL) is a distributed machine learning framework that is gaining traction in view of increasing health data privacy protection needs. By conducting a...
Federated learning (FL) is a distributed machine learning framework that is gaining traction in view of increasing health data privacy protection needs. By conducting a systematic review of FL applications in healthcare, we identify relevant articles in scientific, engineering, and medical journals in English up to August 31st, 2023. Out of a total of 22,693 articles under review, 612 articles are included in the final analysis. The majority of articles are proof-of-concepts studies, and only 5.2% are studies with real-life application of FL. Radiology and internal medicine are the most common specialties involved in FL. FL is robust to a variety of machine learning models and data types, with neural networks and medical imaging being the most common, respectively. We highlight the need to address the barriers to clinical translation and to assess its real-world impact in this new digital data-driven healthcare scene.
Topics: Humans; Machine Learning; Medicine; Neural Networks, Computer
PubMed: 38340728
DOI: 10.1016/j.xcrm.2024.101419 -
Medical Image Analysis Apr 2024With the massive proliferation of data-driven algorithms, such as deep learning-based approaches, the availability of high-quality data is of great interest. Volumetric...
With the massive proliferation of data-driven algorithms, such as deep learning-based approaches, the availability of high-quality data is of great interest. Volumetric data is very important in medicine, as it ranges from disease diagnoses to therapy monitoring. When the dataset is sufficient, models can be trained to help doctors with these tasks. Unfortunately, there are scenarios where large amounts of data is unavailable. For example, rare diseases and privacy issues can lead to restricted data availability. In non-medical fields, the high cost of obtaining enough high-quality data can also be a concern. A solution to these problems can be the generation of realistic synthetic data using Generative Adversarial Networks (GANs). The existence of these mechanisms is a good asset, especially in healthcare, as the data must be of good quality, realistic, and without privacy issues. Therefore, most of the publications on volumetric GANs are within the medical domain. In this review, we provide a summary of works that generate realistic volumetric synthetic data using GANs. We therefore outline GAN-based methods in these areas with common architectures, loss functions and evaluation metrics, including their advantages and disadvantages. We present a novel taxonomy, evaluations, challenges, and research opportunities to provide a holistic overview of the current state of volumetric GANs.
Topics: Humans; Algorithms; Rare Diseases; Data Analysis
PubMed: 38340545
DOI: 10.1016/j.media.2024.103100 -
Annals of Medicine and Surgery (2012) Feb 2024Telemedicine (TM) and teleconsultation services flourished during coronavirus disease 2019 (COVID-19) transmission to avoid COVID-19 infection and physical contact. Many... (Review)
Review
INTRODUCTION
Telemedicine (TM) and teleconsultation services flourished during coronavirus disease 2019 (COVID-19) transmission to avoid COVID-19 infection and physical contact. Many physicians switched to the virtual treatment mode and nearly all types of health disciplines were covered. Through this systematic review, the authors tried to explore the strengths and weaknesses of TM, identify the barriers to adopting TM by population, and explain the limitations of this healthcare delivery model.
METHODS AND RESULTS
In this systematic review, 28 studies were included (>53% high-quality studies) as eligible, where nearly 75% (=21) of the studies were from India, and the remaining 25% (=7) were from Pakistan, Bangladesh, Sri Lanka, and Nepal. Advice related to cancer, autoimmune diseases, and neurological diseases were the most common among the health disciplines in which TM was used. A peak in teleconsultation was observed during the high transmission phase of COVID-19, although major queries were associated with existing health complications and comorbidities.
CONCLUSION
Other than a few concerns regarding connectivity, privacy, and diagnosis, TM was in fact affordable, timesaving, feasible, and accurate, which ensured a highly satisfying experience among the participants (>80%).
PubMed: 38333256
DOI: 10.1097/MS9.0000000000001649 -
Frontiers in Psychology 2023Paucity of information concerning the efficacy of gerontechnologies to support aging in place among community-dwelling older adults prevents potential users, healthcare...
OBJECTIVE
Paucity of information concerning the efficacy of gerontechnologies to support aging in place among community-dwelling older adults prevents potential users, healthcare professionals, and policymakers from making informed decisions on their use. The goal of this study was to identify gerontechnologies tested for home support in dyads of community-dwelling older adults with unimpaired cognition and their family caregivers, including their benefits and challenges. We also provide the level of evidence of the studies and recommendations to address the specific challenges preventing their use, dissemination, and implementation.
METHODS
We conducted a systematic review of the literature published between 2016 and 2021 on gerontechnologies tested for home support in dyads. Two independent reviewers screened the abstracts according to the inclusion/exclusion criteria. A third reviewer resolved eligibility discrepancies. Data extraction was conducted by two independent reviewers.
RESULTS
Of 1,441 articles screened, only 13 studies met the inclusion criteria with studies of moderate quality. Mostly, these gerontechnologies were used to monitor the older adult or the environment, to increase communication with family caregivers, to assist in daily living activities, and to provide health information. Benefits included facilitating communication, increasing safety, and reducing stress. Common challenges included difficulties using the technologies, technical problems, privacy issues, increased stress and dissatisfaction, and a mismatch between values and needs.
CONCLUSION
Only a few gerontechnologies have proven efficacy in supporting community-dwelling older adults and their family caregivers. The inclusion of values and preferences, co-creation with end users, designing easy-to-use technologies, and assuring training are strongly recommended to increase acceptability and dissemination.
SYSTEMATIC REVIEW REGISTRATION
https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=310803, identifier CRD42022310803.
PubMed: 38327502
DOI: 10.3389/fpsyg.2023.1237694 -
JMIR Mental Health Jan 2024Mental health difficulties are highly prevalent worldwide. Passive sensing technologies and applied artificial intelligence (AI) methods can provide an innovative means... (Review)
Review
BACKGROUND
Mental health difficulties are highly prevalent worldwide. Passive sensing technologies and applied artificial intelligence (AI) methods can provide an innovative means of supporting the management of mental health problems and enhancing the quality of care. However, the views of stakeholders are important in understanding the potential barriers to and facilitators of their implementation.
OBJECTIVE
This study aims to review, critically appraise, and synthesize qualitative findings relating to the views of mental health care professionals on the use of passive sensing and AI in mental health care.
METHODS
A systematic search of qualitative studies was performed using 4 databases. A meta-synthesis approach was used, whereby studies were analyzed using an inductive thematic analysis approach within a critical realist epistemological framework.
RESULTS
Overall, 10 studies met the eligibility criteria. The 3 main themes were uses of passive sensing and AI in clinical practice, barriers to and facilitators of use in practice, and consequences for service users. A total of 5 subthemes were identified: barriers, facilitators, empowerment, risk to well-being, and data privacy and protection issues.
CONCLUSIONS
Although clinicians are open-minded about the use of passive sensing and AI in mental health care, important factors to consider are service user well-being, clinician workloads, and therapeutic relationships. Service users and clinicians must be involved in the development of digital technologies and systems to ensure ease of use. The development of, and training in, clear policies and guidelines on the use of passive sensing and AI in mental health care, including risk management and data security procedures, will also be key to facilitating clinician engagement. The means for clinicians and service users to provide feedback on how the use of passive sensing and AI in practice is being received should also be considered.
TRIAL REGISTRATION
PROSPERO International Prospective Register of Systematic Reviews CRD42022331698; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=331698.
Topics: Humans; Artificial Intelligence; Health Personnel; Machine Learning; Mental Health
PubMed: 38261403
DOI: 10.2196/49577