Subjects -> HEALTH AND SAFETY (Total: 1565 journals)
    - CIVIL DEFENSE (22 journals)
    - DRUG ABUSE AND ALCOHOLISM (86 journals)
    - HEALTH AND SAFETY (743 journals)
    - HEALTH FACILITIES AND ADMINISTRATION (390 journals)
    - OCCUPATIONAL HEALTH AND SAFETY (109 journals)
    - PHYSICAL FITNESS AND HYGIENE (133 journals)
    - WOMEN'S HEALTH (82 journals)

HEALTH AND SAFETY (743 journals)                  1 2 3 4 | Last

Showing 1 - 200 of 203 Journals sorted alphabetically
16 de Abril     Open Access   (Followers: 4)
ACM Transactions on Computing for Healthcare     Hybrid Journal   (Followers: 5)
Acta Informatica Medica     Open Access   (Followers: 3)
Acta Scientiarum. Health Sciences     Open Access   (Followers: 3)
Adultspan Journal     Hybrid Journal   (Followers: 1)
Advances in Child Development and Behavior     Full-text available via subscription   (Followers: 12)
Advances in Public Health     Open Access   (Followers: 31)
Adversity and Resilience Science : Journal of Research and Practice     Hybrid Journal   (Followers: 4)
African Health Sciences     Open Access   (Followers: 6)
African Journal for Physical, Health Education, Recreation and Dance     Full-text available via subscription   (Followers: 8)
African Journal of Health Professions Education     Open Access   (Followers: 7)
Afrimedic Journal     Open Access   (Followers: 3)
Ageing & Society     Hybrid Journal   (Followers: 48)
Air Quality, Atmosphere & Health     Hybrid Journal   (Followers: 7)
AJOB Empirical Bioethics     Hybrid Journal   (Followers: 4)
Akademika     Open Access   (Followers: 1)
American Journal of Family Therapy     Hybrid Journal   (Followers: 9)
American Journal of Health Economics     Full-text available via subscription   (Followers: 21)
American Journal of Health Education     Hybrid Journal   (Followers: 39)
American Journal of Health Promotion     Hybrid Journal   (Followers: 35)
American Journal of Health Sciences     Open Access   (Followers: 13)
American Journal of Preventive Medicine     Hybrid Journal   (Followers: 31)
American Journal of Public Health     Full-text available via subscription   (Followers: 296)
American Journal of Public Health Research     Open Access   (Followers: 30)
Analytic Methods in Accident Research     Hybrid Journal   (Followers: 9)
Annales des Sciences de la Santé     Open Access  
Annali dell'Istituto Superiore di Sanità     Open Access  
Annals of Global Health     Open Access   (Followers: 15)
Annals of Health Law     Open Access   (Followers: 6)
Annals of Tropical Medicine and Public Health     Open Access   (Followers: 16)
Applied Biosafety     Hybrid Journal   (Followers: 1)
Applied Ergonomics     Hybrid Journal   (Followers: 18)
Applied Research In Health And Social Sciences: Interface And Interaction     Open Access   (Followers: 5)
Apuntes Universitarios     Open Access   (Followers: 1)
Archive of Community Health     Open Access   (Followers: 1)
Archives of Community Medicine and Public Health     Open Access   (Followers: 3)
Archives of Medicine and Health Sciences     Open Access   (Followers: 7)
Archives of Suicide Research     Hybrid Journal   (Followers: 11)
Archivos de Prevención de Riesgos Laborales     Open Access  
Arquivos de Ciências da Saúde     Open Access  
Asia Pacific Journal of Counselling and Psychotherapy     Hybrid Journal   (Followers: 11)
Asia Pacific Journal of Health Management     Full-text available via subscription   (Followers: 6)
Asia-Pacific Journal of Public Health     Hybrid Journal   (Followers: 15)
Asian Journal of Gambling Issues and Public Health     Open Access   (Followers: 5)
Asian Journal of Medicine and Health     Open Access   (Followers: 1)
Atención Primaria     Open Access   (Followers: 2)
Atención Primaria Práctica     Open Access   (Followers: 1)
Australasian Journal of Paramedicine     Open Access   (Followers: 7)
Australian Advanced Aesthetics     Full-text available via subscription   (Followers: 4)
Australian Family Physician     Full-text available via subscription   (Followers: 3)
Australian Indigenous HealthBulletin     Free   (Followers: 5)
Autism & Developmental Language Impairments     Open Access   (Followers: 16)
Behavioral Healthcare     Full-text available via subscription   (Followers: 8)
Bijzijn     Hybrid Journal   (Followers: 1)
Bijzijn XL     Hybrid Journal  
Biomedical Safety & Standards     Full-text available via subscription   (Followers: 8)
Biosafety and Health     Open Access   (Followers: 2)
Biosalud     Open Access   (Followers: 1)
Birat Journal of Health Sciences     Open Access  
BLDE University Journal of Health Sciences     Open Access  
BMC Oral Health     Open Access   (Followers: 7)
BMC Pregnancy and Childbirth     Open Access   (Followers: 24)
BMJ Simulation & Technology Enhanced Learning     Hybrid Journal   (Followers: 13)
Boletin Médico de Postgrado     Open Access  
Brazilian Journal of Medicine and Human Health     Open Access  
British Journal of Health Psychology     Hybrid Journal   (Followers: 53)
Buletin Penelitian Kesehatan     Open Access   (Followers: 2)
Buletin Penelitian Sistem Kesehatan     Open Access  
Bulletin of the World Health Organization     Open Access   (Followers: 23)
Cadernos de Educação, Saúde e Fisioterapia     Open Access   (Followers: 1)
Cadernos de Saúde     Open Access   (Followers: 1)
Cadernos Saúde Coletiva     Open Access   (Followers: 1)
Cambridge Quarterly of Healthcare Ethics     Hybrid Journal   (Followers: 16)
Canadian Family Physician     Partially Free   (Followers: 13)
Canadian Journal of Community Mental Health     Full-text available via subscription   (Followers: 14)
Canadian Journal of Human Sexuality     Hybrid Journal   (Followers: 2)
Canadian Journal of Public Health     Hybrid Journal   (Followers: 27)
Cannabis and Cannabinoid Research     Hybrid Journal   (Followers: 2)
Carta Comunitaria     Open Access  
Case Reports in Women's Health     Open Access   (Followers: 4)
Case Studies in Fire Safety     Open Access   (Followers: 26)
CASUS : Revista de Investigación y Casos en Salud     Open Access   (Followers: 1)
Central Asian Journal of Global Health     Open Access   (Followers: 2)
CES Medicina     Open Access  
CES Salud Pública     Open Access   (Followers: 1)
Child Abuse Research in South Africa     Full-text available via subscription   (Followers: 1)
Child and Adolescent Obesity     Open Access   (Followers: 2)
Child's Nervous System     Hybrid Journal  
Childhood Obesity and Nutrition     Open Access   (Followers: 12)
Children     Open Access   (Followers: 2)
CHRISMED Journal of Health and Research     Open Access   (Followers: 3)
Christian Journal for Global Health     Open Access  
Ciência & Saúde Coletiva     Open Access   (Followers: 2)
Ciencia & Salud     Open Access   (Followers: 1)
Ciencia & Trabajo     Open Access   (Followers: 1)
Ciencia e Innovación en Salud     Open Access  
Ciencia y Cuidado     Open Access   (Followers: 1)
Ciencia y Salud     Open Access   (Followers: 3)
Ciencia y Salud Virtual     Open Access  
Ciencia, Tecnología y Salud     Open Access   (Followers: 2)
Cities & Health     Hybrid Journal   (Followers: 4)
Clinical and Experimental Health Sciences     Open Access   (Followers: 1)
ClinicoEconomics and Outcomes Research     Open Access   (Followers: 2)
Clocks & Sleep     Open Access   (Followers: 2)
CME     Hybrid Journal   (Followers: 2)
CoDAS     Open Access  
Community Health     Open Access   (Followers: 6)
Conflict and Health     Open Access   (Followers: 8)
Contact (CTC)     Open Access  
Contraception and Reproductive Medicine     Open Access   (Followers: 2)
Cuaderno de investigaciones: semilleros andina     Open Access   (Followers: 3)
Cuadernos de la Escuela de Salud Pública     Open Access  
Current Opinion in Behavioral Sciences     Hybrid Journal   (Followers: 11)
Current Opinion in Environmental Science & Health     Hybrid Journal   (Followers: 1)
Das österreichische Gesundheitswesen ÖKZ     Hybrid Journal  
Day Surgery Australia     Full-text available via subscription   (Followers: 2)
Design for Health     Hybrid Journal  
Digital Health     Open Access   (Followers: 10)
Disaster Medicine and Public Health Preparedness     Hybrid Journal   (Followers: 16)
Diversity and Equality in Health and Care     Open Access   (Followers: 9)
Diversity of Research in Health Journal     Open Access  
Dramatherapy     Hybrid Journal   (Followers: 3)
Drogues, santé et société     Open Access   (Followers: 2)
Duazary     Open Access   (Followers: 1)
Düzce Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi / Journal of Duzce University Health Sciences Institute     Open Access  
Early Childhood Research Quarterly     Hybrid Journal   (Followers: 29)
East African Journal of Public Health     Full-text available via subscription   (Followers: 4)
Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity     Hybrid Journal   (Followers: 26)
EcoHealth     Hybrid Journal   (Followers: 5)
Education for Health     Open Access   (Followers: 10)
ElectronicHealthcare     Full-text available via subscription   (Followers: 3)
Elsevier Ergonomics Book Series     Full-text available via subscription   (Followers: 5)
Emergency Services SA     Full-text available via subscription   (Followers: 2)
Ensaios e Ciência : Ciências Biológicas, Agrárias e da Saúde     Open Access  
Environmental Disease     Open Access   (Followers: 4)
Environmental Sciences Europe     Open Access   (Followers: 2)
Epidemics     Open Access   (Followers: 6)
Epidemiologic Perspectives & Innovations     Open Access   (Followers: 7)
Epidemiology, Biostatistics and Public Health     Open Access   (Followers: 22)
EsSEX : Revista Científica     Open Access   (Followers: 1)
Estudios sociales : Revista de alimentación contemporánea y desarrollo regional     Open Access   (Followers: 1)
Ethics & Human Research     Hybrid Journal   (Followers: 4)
Ethics, Medicine and Public Health     Full-text available via subscription   (Followers: 7)
Ethiopian Journal of Health Development     Open Access   (Followers: 7)
Ethiopian Journal of Health Sciences     Open Access   (Followers: 8)
Ethnicity & Health     Hybrid Journal   (Followers: 15)
Eurasian Journal of Health Technology Assessment     Open Access  
EUREKA : Health Sciences     Open Access   (Followers: 2)
European Journal of Investigation in Health, Psychology and Education     Open Access   (Followers: 5)
European Medical, Health and Pharmaceutical Journal     Open Access   (Followers: 2)
Evaluation & the Health Professions     Hybrid Journal   (Followers: 10)
Evidence-based Medicine & Public Health     Open Access   (Followers: 10)
Evidência - Ciência e Biotecnologia - Interdisciplinar     Open Access  
Expressa Extensão     Open Access  
F&S Reports     Open Access  
Face à face     Open Access   (Followers: 1)
Families, Systems, & Health     Full-text available via subscription   (Followers: 9)
Family & Community Health     Hybrid Journal   (Followers: 15)
Family Medicine and Community Health     Open Access   (Followers: 10)
Family Relations     Partially Free   (Followers: 15)
FASEB BioAdvances     Open Access  
Fatigue : Biomedicine, Health & Behavior     Hybrid Journal   (Followers: 2)
Finnish Journal of eHealth and eWelfare : Finjehew     Open Access  
Food and Public Health     Open Access   (Followers: 19)
Food Quality and Safety     Open Access   (Followers: 2)
Frontiers in Digital Health     Open Access   (Followers: 3)
Frontiers in Neuroergonomics     Open Access  
Frontiers in Public Health     Open Access   (Followers: 9)
Frontiers of Health Services Management     Partially Free   (Followers: 9)
Gaceta Sanitaria     Open Access   (Followers: 3)
Galen Medical Journal     Open Access   (Followers: 1)
Ganesha Journal     Open Access  
Gazi Sağlık Bilimleri Dergisi     Open Access  
Geospatial Health     Open Access   (Followers: 1)
Gestão e Desenvolvimento     Open Access  
Gesundheitsökonomie & Qualitätsmanagement     Hybrid Journal   (Followers: 9)
Giornale Italiano di Health Technology Assessment     Full-text available via subscription  
Global Advances in Health and Medicine     Open Access  
Global Challenges     Open Access  
Global Health : Science and Practice     Open Access   (Followers: 8)
Global Health Annual Review     Open Access   (Followers: 3)
Global Health Journal     Open Access   (Followers: 3)
Global Health Promotion     Hybrid Journal   (Followers: 19)
Global Journal of Health Science     Open Access   (Followers: 12)
Global Journal of Public Health     Open Access   (Followers: 17)
Global Medical & Health Communication     Open Access   (Followers: 2)
Global Mental Health     Open Access   (Followers: 11)
Global Reproductive Health     Open Access   (Followers: 1)
Global Security : Health, Science and Policy     Open Access   (Followers: 1)
Global Transitions     Open Access   (Followers: 1)
Globalization and Health     Open Access   (Followers: 9)
Hacia la Promoción de la Salud     Open Access  
Hastane Öncesi Dergisi     Open Access  
Hastings Center Report     Hybrid Journal   (Followers: 7)
HCU Journal     Open Access  
HEADline     Hybrid Journal  
Health & Place     Hybrid Journal   (Followers: 20)
Health & Justice     Open Access   (Followers: 6)
Health : An Interdisciplinary Journal for the Social Study of Health, Illness and Medicine     Hybrid Journal   (Followers: 17)
Health and Human Rights     Open Access   (Followers: 10)

        1 2 3 4 | Last

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Frontiers in Digital Health
Number of Followers: 3  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2673-253X
Published by Frontiers Media Homepage  [88 journals]
  • Clinical Validation of a Soft Wireless Continuous Blood Pressure Sensor
           During Surgery

    • Authors: En-Fan Chou, Shin Yu Celia Cheung, Hailey Christine Maxwell, Nicholas Pham, Michelle Khine, Joseph Rinehart
      Abstract: We test a new wireless soft capacitance sensor (CAP) based on applanation tonometry at the radial and dorsalis pedis arteries against the gold standard, invasive arterial line (A-Line), for continuous beat to beat blood pressure (BP) measurements in the Operating Room during surgical procedures under anesthesia in 17 subjects with the mean age and body mass index (BMI) of 57. 35 ± 18.72 years and 27.36 ± 4.20 kg/m2, respectively. We have identified several parameters to monitor in order to compare how well the CAP sensor tracks the entire hemodynamic waveform as compared to the A-Line. This includes waveform similarity, heart rate (HR), absolute systolic BP (SBP), diastolic BP (DBP), and temporal response to a vasopressor. Overall, the CAP sensor shows good correlations with A-Line with respect to hemodynamic shape (r > 0.89), HR (mean bias = 0.0006; SD = 0.17), absolute SBP, and DBP in a line of best fit (slope = 0.98 in SBP; 1.08 in DBP) and the mean bias derived from Bland-Altman method to be 1.92 (SD = 12.55) in SBP and 2.38 (SD = 12.19) in DBP across body habitus and age in OR patients under general anesthesia. While we do observe drifts in the system, we still obtain decent correlations with respect to the A-Line as evidenced by excellent linear fit and low mean bias across patients. When we post-process using a different calibration method to account for the drift, the mean bias and SD improve dramatically to −1.85 and 7.19 DBP as well as 1.43 and 7.43 SBP, respectively, indicating a promising potential for improvement when we integrate strategies to account for movement identified by our integrated accelerometer data.
      PubDate: 2021-07-22T00:00:00Z
       
  • A Digital Personal Health Library for Enabling Precision Health Promotion
           to Prevent Human Papilloma Virus-Associated Cancers

    • Authors: Olufunto A. Olusanya, Nariman Ammar, Robert L. Davis, Robert A. Bednarczyk, Arash Shaban-Nejad
      Abstract: Human papillomavirus (HPV) causes the most prevalent sexually transmitted infection (STI) in the United States. Sexually active young adults are susceptible to HPV, accounting for approximately 50% of new STIs. Oncogenic HPV subtypes 16 and 18 are associated with squamous intraepithelial lesions and cancers and are mostly preventable through prophylactic HPV vaccination. Accordingly, this study's objectives are to (1) summarize SDoH barriers and implication for low HPV vaccination rates among young adults (18–26 years), (2) propose a digital health solution that utilizes the PHL to collect, integrate, and manage personalized sexual and health information, and (3) describe the features of the PHL-based app. Through the application of novel techniques from artificial intelligence, specifically knowledge representation, semantic web, and natural language processing, this proposed PHL-based application will compile clinical, biomedical, and SDoH data from multi-dimensional sources. Therefore, this application will provide digital health interventions that are customized to individuals' specific needs and capacities. The PHL-based application could promote management and usage of personalized digital health information to facilitate precision health promotion thereby, informing health decision-making regarding HPV vaccinations, routine HPV/STI testing, cancer screenings, vaccine safety/efficacy/side effects, and safe sexual practices. In addition to detecting vaccine hesitancy, disparities and perceived barriers, this application could address participants' specific needs/challenges with navigating health literacy, technical skills, peer influence, education, language, cultural and spiritual beliefs. Precision health promotion focused on improving knowledge acquisition and information-seeking behaviors, promoting safe sexual practices, increasing HPV vaccinations, and facilitating cancer screenings could be effective in preventing HPV-associated cancers.
      PubDate: 2021-07-21T00:00:00Z
       
  • Applying a Digital Health Checklist and Readability Tools to Improve
           Informed Consent for Digital Health Research

    • Authors: Camille Nebeker, Maryam Gholami, Daniah Kareem, Emily Kim
      Abstract: Background: As research involving human participants increasingly occurs with the aid of digital tools (e.g., mobile apps, wearable and remote pervasive sensors), the consent content and delivery process is changing. Informed consent documents to participate in research are lengthy and difficult for prospective participants to read and understand. As the consent communication will need to include concepts and procedures unique to digital health research, making that information accessible and meaningful to the prospective participant is critical for consent to be informed. This paper describes a methodology that researchers can apply when developing a consent communication for digital health research.Methods: A consent document approved by a US institutional review board was deconstructed into segments that aligned with federal requirements for informed consent. Three researchers independently revised each segment of text with a goal of achieving a readability score between a 6–8th grade level. The team then consulted with an external readability expert well-versed in revising informed consent documents into “plain language.” The resulting text was evaluated using Microsoft Word and Online-Utility accessibility software. The final step involved adding visual images and graphics to complement the text. The Digital Health Checklist consent prototype builder was then used to identify areas where the consent content could be expanded to address four key domains of Access and Usability, Privacy, Risks and Benefits, and Data Management.Results: The approved consent was evaluated at a 12.6 grade reading level, whereas the revised language by our study team received 12.4, 12, and 12.58, respectively. The final consent document synthesized the most readable of the three revised versions and was further revised to include language recommended by the software tool for improving readability, which resulted in a final revised consent readability score of a 9.2 grade level. Moreover, word count was reduced from 6,424 in the original consent to 679 in the rewritten consent form.Conclusion: Utilizing an iterative process to design an accessible informed consent document is a first step in achieving meaningful consent to participate in digital health research. This paper describes how a consent form approved by an institutional review board can be made more accessible to a prospective research participant by improving the document readability score, reducing the word count and assessing alignment with the Digital Health Checklist.
      PubDate: 2021-07-15T00:00:00Z
       
  • Cognitive Impairments in Schizophrenia: A Study in a Large Clinical Sample
           Using Natural Language Processing

    • Authors: Aurelie Mascio, Robert Stewart, Riley Botelle, Marcus Williams, Luwaiza Mirza, Rashmi Patel, Thomas Pollak, Richard Dobson, Angus Roberts
      Abstract: Background: Cognitive impairments are a neglected aspect of schizophrenia despite being a major factor of poor functional outcome. They are usually measured using various rating scales, however, these necessitate trained practitioners and are rarely routinely applied in clinical settings. Recent advances in natural language processing techniques allow us to extract such information from unstructured portions of text at a large scale and in a cost effective manner. We aimed to identify cognitive problems in the clinical records of a large sample of patients with schizophrenia, and assess their association with clinical outcomes.Methods: We developed a natural language processing based application identifying cognitive dysfunctions from the free text of medical records, and assessed its performance against a rating scale widely used in the United Kingdom, the cognitive component of the Health of the Nation Outcome Scales (HoNOS). Furthermore, we analyzed cognitive trajectories over the course of patient treatment, and evaluated their relationship with various socio-demographic factors and clinical outcomes.Results: We found a high prevalence of cognitive impairments in patients with schizophrenia, and a strong correlation with several socio-demographic factors (gender, education, ethnicity, marital status, and employment) as well as adverse clinical outcomes. Results obtained from the free text were broadly in line with those obtained using the HoNOS subscale, and shed light on additional associations, notably related to attention and social impairments for patients with higher education.Conclusions: Our findings demonstrate that cognitive problems are common in patients with schizophrenia, can be reliably extracted from clinical records using natural language processing, and are associated with adverse clinical outcomes. Harvesting the free text from medical records provides a larger coverage in contrast to neurocognitive batteries or rating scales, and access to additional socio-demographic and clinical variables. Text mining tools can therefore facilitate large scale patient screening and early symptoms detection, and ultimately help inform clinical decisions.
      PubDate: 2021-07-15T00:00:00Z
       
  • Responsible Relations: A Systematic Scoping Review of the Therapeutic
           Alliance in Text-Based Digital Psychotherapy

    • Authors: Charlotte M. van Lotringen, Lars Jeken, Gerben J. Westerhof, Peter M. ten Klooster, Saskia M. Kelders, Matthijs L. Noordzij
      Abstract: Introduction: Developing a good therapeutic alliance is considered essential for the responsible delivery of psychotherapy. Text-based digital psychotherapy has become increasingly common, yet much remains unclear about the alliance and its importance for delivering mental health care via a digital format. To employ text-based digital therapies responsibly, more insight is needed into the type and strength of the therapeutic alliance online.Methods: A systematic scoping review was performed searching four databases: Scopus, PsycINFO, Web of Science, and Wiley Online Library. A total of 23 studies were selected and data was extracted and tabulated to explore the characteristics of studies on text-based psychotherapy, measurements of the therapeutic alliance and associations of the alliance with treatment outcome.Results: The therapeutic alliance in text-based digital interventions was studied with a variety of client groups, though mostly for clients diagnosed with anxiety and/or depression issues. Treatment modalities were predominantly internet-based cognitive behavioral therapy (ICBT) and tailored platforms for distinct client groups (e.g., PTSD). Almost all treatments used asynchronous text-based communication, such as e-mails and integrated messaging functions, which were mainly used to give feedback on tasks. For measurements, a version of the Working Alliance Inventory (WAI) was used in most studies. Measurements with the WAI or WAI- short form indicated a good therapeutic alliance with a weighted mean score of 5.66 (on a scale of 1 to 7) and a weighted standard deviation of 0.84. Relations between the therapeutic alliance and treatment outcomes were mostly positive, with many studies reporting significant associations (n = 8 out of 10) or significant effects of the therapeutic alliance on treatment outcomes (n = 5 out of 6).Discussion: Our scoping review suggests that a good therapeutic alliance can be established in digital psychotherapy through text-based communication, and shows support for a positive relationship between the alliance and treatment outcomes. These findings illustrate that text-based online psychotherapy can be a responsible treatment option as far as the establishment of the therapeutic alliance is concerned. However, current measures of the therapeutic alliance might miss important aspects of the alliance in digital treatment, such as the presence of empathy or compassion.
      PubDate: 2021-07-09T00:00:00Z
       
  • Innovation During a Pandemic: Developing a Guideline for Infection
           Prevention and Control to Support Education Through Virtual Reality

    • Authors: Nathan Moore, Kathy Dempsey, Peter Hockey, Susan Jain, Philip Poronnik, Ramon Z. Shaban, Naseem Ahmadpour
      PubDate: 2021-07-09T00:00:00Z
       
  • Immune Profile of SARS-CoV-2 Variants of Concern

    • Authors: Caterina A. M. La Porta, Stefano Zapperi
      Abstract: The spread of the current Sars-Cov-2 pandemics leads to the development of mutations that are constantly monitored because they could affect the efficacy of vaccines. Three recently identified mutated strains, known as variants of concern, are rapidly spreading worldwide. Here, we study possible effects of these mutations on the immune response to Sars-Cov-2 infection using NetTepi a computational method based on artificial neural networks that considers binding and stability of peptides obtained by proteasome degradation for widely represented HLA class I alleles present in human populations as well as the T-cell propensity of viral peptides that measures their immune response. Our results show variations in the number of potential highly ranked peptides ranging between 0 and 20% depending on the specific HLA allele. The results can be useful to design more specific vaccines.
      PubDate: 2021-07-09T00:00:00Z
       
  • Behavior Change Techniques and the Effects Associated With Digital
           Behavior Change Interventions in Sedentary Behavior in the Clinical
           Population: A Systematic Review

    • Authors: Jaime Martín-Martín, Cristina Roldán-Jiménez, Irene De-Torres, Antonio Muro-Culebras, Adrian Escriche-Escuder, Manuel Gonzalez-Sanchez, María Ruiz-Muñoz, Fermin Mayoral-Cleries, Attila Biró, Wen Tang, Borjanka Nikolova, Alfredo Salvatore, Antonio I. Cuesta-Vargas
      Abstract: Background: Sedentary behavior (SB) negatively impact health and is highly prevalent in the population. Digital behavior change interventions (DBCIs) have been developed to modify behaviors such as SB by technologies. However, it is unknown which behavior change techniques (BCTs) are most frequently employed in SB as well as the effect associated with DBCIs in this field. The aim of this systematic review was: (a) to evaluate the BCT most frequently employed in digital health including all technologies available and interventions aimed at increasing physical activity (PA), reducing sedentary time, and improving adherence to exercise in the clinical population, and (b) to review the effect associated with DBCIs in this field.Methods: The database used was Medline, as well as Scopus, Scielo, and Google Scholar. For the search strategy, we considered versions of behavior/behavioral, mHealth/eHealth/telemedicine/serious game/gamification. The terms related to PA and SB were included, the criteria for inclusion were randomized clinical trials (RCTs), adults, intervention based on digital media, and outcome variable lifestyle modification; a last 5 years filter was included. Michie's Taxonomy was used to identify BCTs. The study was registered under the number PROSPERO CRD42019138681.Results: Eighteen RCTs were included in the present systematic review, 5 of them healthy adults, and 13 of them with some illness. Studies included 2298 sedentary individuals who were followed up for 5 weeks−3 years. The most used BCTs were goal setting, problem solving, review outcomes/goals, feedback on behavior and outcomes of behavior, self-monitoring of behavior, social support, information about health consequences, and behavior practice/rehearsal. The effect associated with DBCIs showed improvements, among several related to PA and physiologic self-reported and anthropometric outcomes.Conclusion: The BCTs most used in digital health to change outcomes related to SB were goals and planning, feedback and monitoring, social support, natural consequences, repetition, and substitution. Besides these findings, DBCIs are influenced by several factors like the type of intervention, patients' preferences and values, or the number of BCTs employed. More research is needed to determine with precision which DBCIs or BCTs are the most effective to reduce SB in the clinical population.
      PubDate: 2021-07-08T00:00:00Z
       
  • Attitudes Toward Health, Healthcare, and eHealth of People With a Low
           Socioeconomic Status: A Community-Based Participatory Approach

    • Authors: Jasper S. Faber, Isra Al-Dhahir, Thomas Reijnders, Niels H. Chavannes, Andrea W. M. Evers, Jos J. Kraal, H. J. G. van den Berg-Emons, Valentijn T. Visch
      Abstract: Low socioeconomic status (SES) is associated with a higher prevalence of unhealthy lifestyles compared to a high SES. Health interventions that promote a healthy lifestyle, like eHealth solutions, face limited adoption in low SES groups. To improve the adoption of eHealth interventions, their alignment with the target group's attitudes is crucial. This study investigated the attitudes of people with a low SES toward health, healthcare, and eHealth. We adopted a mixed-method community-based participatory research approach with 23 members of a community center in a low SES neighborhood in the city of Rotterdam, the Netherlands. We conducted a first set of interviews and analyzed these using a grounded theory approach resulting in a group of themes. These basic themes' representative value was validated and refined by an online questionnaire involving a different sample of 43 participants from multiple community centers in the same neighborhood. We executed three focus groups to validate and contextualize the results. We identified two general attitudes based on nine profiles toward health, healthcare, and eHealth. The first general attitude, optimistically engaged, embodied approximately half our sample and involved light-heartedness toward health, loyalty toward healthcare, and eagerness to adopt eHealth. The second general attitude, doubtfully disadvantaged, represented roughly a quarter of our sample and was related to feeling encumbered toward health, feeling disadvantaged within healthcare, and hesitance toward eHealth adoption. The resulting attitudes strengthen the knowledge of the motivation and behavior of people with low SES regarding their health. Our results indicate that negative health attitudes are not as evident as often claimed. Nevertheless, intervention developers should still be mindful of differentiating life situations, motivations, healthcare needs, and eHealth expectations. Based on our findings, we recommend eHealth should fit into the person's daily life, ensure personal communication, be perceived usable and useful, adapt its communication to literacy level and life situation, allow for meaningful self-monitoring and embody self-efficacy enhancing strategies.
      PubDate: 2021-07-08T00:00:00Z
       
  • Combinatorial Analysis of Phenotypic and Clinical Risk Factors Associated
           With Hospitalized COVID-19 Patients

    • Authors: Sayoni Das, Matthew Pearson, Krystyna Taylor, Veronique Bouchet, Gert Lykke Møller, Taryn O. Hall, Mark Strivens, Kathy T. H. Tzeng, Steve Gardner
      Abstract: Characterization of the risk factors associated with variability in the clinical outcomes of COVID-19 is important. Our previous study using genomic data identified a potential role of calcium and lipid homeostasis in severe COVID-19. This study aimed to identify similar combinations of features (disease signatures) associated with severe disease in a separate patient population with purely clinical and phenotypic data. The PrecisionLife combinatorial analytics platform was used to analyze features derived from de-identified health records in the UnitedHealth Group COVID-19 Data Suite. The platform identified and analyzed 836 disease signatures in two cohorts associated with an increased risk of COVID-19 hospitalization. Cohort 1 was formed of cases hospitalized with COVID-19 and a set of controls who developed mild symptoms. Cohort 2 included Cohort 1 individuals for whom additional laboratory test data was available. We found several disease signatures where lower levels of lipids were found co-occurring with lower levels of serum calcium and leukocytes. Many of the low lipid signatures were independent of statin use and 50% of cases with hypocalcemia signatures were reported with vitamin D deficiency. These signatures may be attributed to similar mechanisms linking calcium and lipid signaling where changes in cellular lipid levels during inflammation and infection affect calcium signaling in host cells. This study and our previous genomics analysis demonstrate that combinatorial analysis can identify disease signatures associated with the risk of developing severe COVID-19 separately from genomic or clinical data in different populations. Both studies suggest associations between calcium and lipid signaling in severe COVID-19.
      PubDate: 2021-07-08T00:00:00Z
       
  • Trends in COVID-19 Publications: Streamlining Research Using NLP and LDA

    • Authors: Akash Gupta, Shrey Aeron, Anjali Agrawal, Himanshu Gupta
      Abstract: Background: Research publications related to the novel coronavirus disease COVID-19 are rapidly increasing. However, current online literature hubs, even with artificial intelligence, are limited in identifying the complexity of COVID-19 research topics. We developed a comprehensive Latent Dirichlet Allocation (LDA) model with 25 topics using natural language processing (NLP) techniques on PubMed® research articles about “COVID.” We propose a novel methodology to develop and visualise temporal trends, and improve existing online literature hubs.Our results for temporal evolution demonstrate interesting trends, for example, the prominence of “Mental Health” and “Socioeconomic Impact” increased, “Genome Sequence” decreased, and “Epidemiology” remained relatively constant. Applying our methodology to LitCovid, a literature hub from the National Center for Biotechnology Information, we improved the breadth and depth of research topics by subdividing their pre-existing categories. Our topic model demonstrates that research on “masks” and “Personal Protective Equipment (PPE)” is skewed toward clinical applications with a lack of population-based epidemiological research.
      PubDate: 2021-07-06T00:00:00Z
       
  • Seasonal Sleep Variations and Their Association With Meteorological
           Factors: A Japanese Population Study Using Large-Scale Body Acceleration
           Data

    • Authors: Li Li, Toru Nakamura, Junichiro Hayano, Yoshiharu Yamamoto
      Abstract: Seasonal changes in meteorological factors [e.g., ambient temperature (Ta), humidity, and sunlight] could significantly influence a person's sleep, possibly resulting in the seasonality of sleep properties (timing and quality). However, population-based studies on sleep seasonality or its association with meteorological factors remain limited, especially those using objective sleep data. Japan has clear seasonality with distinctive changes in meteorological variables among seasons, thereby suitable for examining sleep seasonality and the effects of meteorological factors. This study aimed to investigate seasonal variations in sleep properties in a Japanese population (68,604 individuals) and further identify meteorological factors contributing to sleep seasonality. Here we used large-scale objective sleep data estimated from body accelerations by machine learning. Sleep parameters such as total sleep time, sleep latency, sleep efficiency, and wake time after sleep onset demonstrated significant seasonal variations, showing that sleep quality in summer was worse than that in other seasons. While bedtime did not show clear seasonality, get-up time varied seasonally, with a nadir during summer, and positively correlated with the sunrise time. Estimated by the abovementioned sleep parameters, Ta had a practically meaningful association with sleep quality, indicating that sleep quality worsened with the increase of Ta. This association would partly explain seasonal variations in sleep quality among seasons. In conclusion, Ta had a principal role for seasonality in sleep quality, and the sunrise time chiefly determined the get-up time.
      PubDate: 2021-07-02T00:00:00Z
       
  • From General Principles to Procedural Values: Responsible Digital Health
           Meets Public Health Ethics

    • Authors: Rune Nyrup
      Abstract: Most existing work in digital ethics is modeled on the “principlist” approach to medical ethics, seeking to articulate a small set of general principles to guide ethical decision-making. Critics have highlighted several limitations of such principles, including (1) that they mask ethical disagreements between and within stakeholder communities, and (2) that they provide little guidance for how to resolve trade-offs between different values. This paper argues that efforts to develop responsible digital health practices could benefit from paying closer attention to a different branch of medical ethics, namely public health ethics. In particular, I argue that the influential “accountability for reasonableness” (A4R) approach to public health ethics can help overcome some of the limitations of existing digital ethics principles. A4R seeks to resolve trade-offs through decision-procedures designed according to certain shared procedural values. This allows stakeholders to recognize decisions reached through these procedures as legitimate, despite their underlying disagreements. I discuss the prospects for adapting A4R to the context of responsible digital health and suggest questions for further research.
      PubDate: 2021-07-02T00:00:00Z
       
  • Flex-Printed Ear-EEG Sensors for Adequate Sleep Staging at Home

    • Authors: Carlos F. da Silva Souto, Wiebke Pätzold, Karen Insa Wolf, Marina Paul, Ida Matthiesen, Martin G. Bleichner, Stefan Debener
      Abstract: A comfortable, discrete and robust recording of the sleep EEG signal at home is a desirable goal but has been difficult to achieve. We investigate how well flex-printed electrodes are suitable for sleep monitoring tasks in a smartphone-based home environment. The cEEGrid ear-EEG sensor has already been tested in the laboratory for measuring night sleep. Here, 10 participants slept at home and were equipped with a cEEGrid and a portable amplifier (mBrainTrain, Serbia). In addition, the EEG of Fpz, EOG_L and EOG_R was recorded. All signals were recorded wirelessly with a smartphone. On average, each participant provided data for M = 7.48 h. An expert sleep scorer created hypnograms and annotated grapho-elements according to AASM based on the EEG of Fpz, EOG_L and EOG_R twice, which served as the baseline agreement for further comparisons. The expert scorer also created hypnograms using bipolar channels based on combinations of cEEGrid channels only, and bipolar cEEGrid channels complemented by EOG channels. A comparison of the hypnograms based on frontal electrodes with the ones based on cEEGrid electrodes (κ = 0.67) and the ones based on cEEGrid complemented by EOG channels (κ = 0.75) both showed a substantial agreement, with the combination including EOG channels showing a significantly better outcome than the one without (p = 0.006). Moreover, signal excerpts of the conventional channels containing grapho-elements were correlated with those of the cEEGrid in order to determine the cEEGrid channel combination that optimally represents the annotated grapho-elements. The results show that the grapho-elements were well-represented by the front-facing electrode combinations. The correlation analysis of the grapho-elements resulted in an average correlation coefficient of 0.65 for the most suitable electrode configuration of the cEEGrid. The results confirm that sleep stages can be identified with electrodes placement around the ear. This opens up opportunities for miniaturized ear-EEG systems that may be self-applied by users.
      PubDate: 2021-06-30T00:00:00Z
       
  • Artificial Intelligence Solutions to Increase Medication Adherence in
           Patients With Non-communicable Diseases

    • Authors: Aditi Babel, Richi Taneja, Franco Mondello Malvestiti, Alessandro Monaco, Shaantanu Donde
      Abstract: Artificial intelligence (AI) tools are increasingly being used within healthcare for various purposes, including helping patients to adhere to drug regimens. The aim of this narrative review was to describe: (1) studies on AI tools that can be used to measure and increase medication adherence in patients with non-communicable diseases (NCDs); (2) the benefits of using AI for these purposes; (3) challenges of the use of AI in healthcare; and (4) priorities for future research. We discuss the current AI technologies, including mobile phone applications, reminder systems, tools for patient empowerment, instruments that can be used in integrated care, and machine learning. The use of AI may be key to understanding the complex interplay of factors that underly medication non-adherence in NCD patients. AI-assisted interventions aiming to improve communication between patients and physicians, monitor drug consumption, empower patients, and ultimately, increase adherence levels may lead to better clinical outcomes and increase the quality of life of NCD patients. However, the use of AI in healthcare is challenged by numerous factors; the characteristics of users can impact the effectiveness of an AI tool, which may lead to further inequalities in healthcare, and there may be concerns that it could depersonalize medicine. The success and widespread use of AI technologies will depend on data storage capacity, processing power, and other infrastructure capacities within healthcare systems. Research is needed to evaluate the effectiveness of AI solutions in different patient groups and establish the barriers to widespread adoption, especially in light of the COVID-19 pandemic, which has led to a rapid increase in the use and development of digital health technologies.
      PubDate: 2021-06-29T00:00:00Z
       
  • Accessing Artificial Intelligence for Clinical Decision-Making

    • Authors: Chris Giordano, Meghan Brennan, Basma Mohamed, Parisa Rashidi, François Modave, Patrick Tighe
      Abstract: Advancements in computing and data from the near universal acceptance and implementation of electronic health records has been formative for the growth of personalized, automated, and immediate patient care models that were not previously possible. Artificial intelligence (AI) and its subfields of machine learning, reinforcement learning, and deep learning are well-suited to deal with such data. The authors in this paper review current applications of AI in clinical medicine and discuss the most likely future contributions that AI will provide to the healthcare industry. For instance, in response to the need to risk stratify patients, appropriately cultivated and curated data can assist decision-makers in stratifying preoperative patients into risk categories, as well as categorizing the severity of ailments and health for non-operative patients admitted to hospitals. Previous overt, traditional vital signs and laboratory values that are used to signal alarms for an acutely decompensating patient may be replaced by continuously monitoring and updating AI tools that can pick up early imperceptible patterns predicting subtle health deterioration. Furthermore, AI may help overcome challenges with multiple outcome optimization limitations or sequential decision-making protocols that limit individualized patient care. Despite these tremendously helpful advancements, the data sets that AI models train on and develop have the potential for misapplication and thereby create concerns for application bias. Subsequently, the mechanisms governing this disruptive innovation must be understood by clinical decision-makers to prevent unnecessary harm. This need will force physicians to change their educational infrastructure to facilitate understanding AI platforms, modeling, and limitations to best acclimate practice in the age of AI. By performing a thorough narrative review, this paper examines these specific AI applications, limitations, and requisites while reviewing a few examples of major data sets that are being cultivated and curated in the US.
      PubDate: 2021-06-25T00:00:00Z
       
  • Digital COVID Credentials: An Implementation Process

    • Authors: Mayssam Nehme, Laurent Kaiser, Philippe Gillet, Philippe Thevoz, Silvia Stringhini, Idris Guessous
      PubDate: 2021-06-25T00:00:00Z
       
  • A Systematic Multidisciplinary Process for User Engagement and Sensor
           Evaluation: Development of a Digital Toolkit for Assessment of Movement in
           Children With Cerebral Palsy

    • Authors: Lisa Kent, Ian Cleland, Catherine Saunders, Andrew Ennis, Laura Finney, Claire Kerr
      Abstract: Objectives: To describe and critique a systematic multidisciplinary approach to user engagement, and selection and evaluation of sensor technologies for development of a sensor-based Digital Toolkit for assessment of movement in children with cerebral palsy (CP).Methods: A sequential process was employed comprising three steps: Step 1: define user requirements, by identifying domains of interest; Step 2: map domains of interest to potential sensor technologies; and Step 3: evaluate and select appropriate sensors to be incorporated into the Digital Toolkit. The process employed a combination of principles from frameworks based in either healthcare or technology design.Results: A broad range of domains were ranked as important by clinicians, patients and families, and industry users. These directly informed the device selection and evaluation process that resulted in three sensor-based technologies being agreed for inclusion in the Digital Toolkit, for use in a future research study.Conclusion: This report demonstrates a systematic approach to user engagement and device selection and evaluation during the development of a sensor-based solution to a healthcare problem. It also provides a narrative on the benefits of employing a multidisciplinary approach throughout the process. This work uses previous frameworks for evaluating sensor technologies and expands on the methods used for user engagement.
      PubDate: 2021-06-24T00:00:00Z
       
  • COVID-19 in Brazil—Preliminary Analysis of Response Supported by
           Artificial Intelligence in Municipalities

    • Authors: Hugo M. P. Morales, Murilo Guedes, Jennifer S. Silva, Adriano Massuda
      Abstract: The novel coronavirus disease (COVID-19) forced rapid adaptations in the way healthcare is delivered and coordinated by health systems. Brazil has a universal public health system (Sistema Unico de Saúde—SUS), being the main source of care for 75% of the population. Therefore, a saturation of the system was foreseen with the continuous increase of cases. The use of Artificial Intelligence (AI) to empower telehealth could help to tackle this by increasing a coordinated patient access to the health system. In the present study we describe a descriptive case report analyzing the use of Laura Digital Emergency Room—an AI-powered telehealth platform—in three different cities. It was computed around 130,000 interactions made by the chatbot and 24,162 patients completed the digital triage. Almost half (44.8%) of the patients were classified as having mild symptoms, 33.6% were classified as moderate and only 14.2% were classified as severe. The implementation of an AI-powered telehealth to increase accessibility while maintaining safety and leveraging value amid the unprecedent impact of the COVID-19 pandemic was feasible in Brazil and may reduce healthcare overload. New efforts to yield sustainability of affordable and scalable solutions are needed to truly leverage value in health care systems, particularly in the context of middle-low-income countries.
      PubDate: 2021-06-17T00:00:00Z
       
  • Digital Contact Tracing Against COVID-19 in Europe: Current Features and
           Ongoing Developments

    • Authors: Alessandro Blasimme, Agata Ferretti, Effy Vayena
      Abstract: The SARS-CoV-2 pandemic is a public health challenge of unprecedented scale. In the midst of the first wave of the pandemic, governments worldwide introduced digital contact tracing systems as part of a strategy to contain the spread of the virus. In Europe, after intense discussion about privacy-related risks involving policymakers, technology experts, information technology companies, and—albeit to a limited extent—the public at large, technical protocols were created to support the development of privacy-compatible proximity tracing apps. However, as the second wave of SARS-CoV-2 sweeps the continent, digital contact tracing in Europe is evolving in terms of both technological and governance features. To enable policymakers to harness the full potential of digital health tools against SARS-CoV-2, this paper examines the evolution of digital contact tracing in eight European countries. Our study highlights that while privacy and data protection are at the core of contact tracing apps in Europe, countries differ in their technical protocols, and in their capacity to utilize collected data beyond proximity tracing alone. In particular, the most recently released apps tend to offer users more granular information about risk in specific locations, and to collect data about user whereabouts, in order to enhance retrospective contact tracing capacity. These developments signal a shift from a strict interpretation of data minimization and purpose limitation toward a more expansive approach to digital contact tracing in Europe, calling for careful scrutiny and appropriate oversight.
      PubDate: 2021-06-17T00:00:00Z
       
 
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