scholarly journals TECHNOSOCIALITY AND HEALTH PROMOTION IN THE DAILY LIVES OF PRIMARY CARE USERS: A SCOPING REVIEW

2021 ◽  
Vol 30 ◽  
Author(s):  
Leila Cristine do Nascimento ◽  
Amanda Morais Campos ◽  
Stephanie Botelho Figueiredo ◽  
Rosane Gonçalves Nitschke ◽  
Maria Josefa Arcaya Moncada ◽  
...  
Keyword(s):  
Health Care ◽  
Health Promotion ◽  
Scoping Review ◽  
The United States ◽  
Level Of Evidence ◽  
Daily Lives ◽  
Scoping Reviews ◽  
Meta Analyses ◽  
And Control ◽  
Behavioral Barriers

ABSTRACT Objective: to map available evidence on the use of technologies by Primary Health Care users in the context of health promotion. Method: this is a scoping review according to Joanna Briggs Institute, and the recommendations of the international guide Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews were followed. The PCC strategy (participants, concept and context) was used. The search in the databases was carried out from January to April 2020. Results: a total of 5,267 studies were retrieved and 28 articles were selected for review. The article origin was diverse, with the largest number being from the United States of America (7), the predominant language is English, the year was 2018 and the level of evidence 2. Studies show that users obtain benefits in health care through the use of technologies. Conclusion: health interventions, using technology, positively impact people’s behavior and lifestyle, focusing on the prevention and control of chronic diseases. It is noteworthy that technologies used in isolation cannot overcome behavioral barriers and their use does not replace one-to-one care and monitoring.

scholarly journals 10 years of EPOC: A scoping review of Emotiv’s portable EEG device

2020 ◽  
Author(s):  
Nikolas S Williams ◽  
Genevieve M McArthur ◽  
Nicholas A Badcock
Keyword(s):  
Signal Processing ◽  
Experimental Research ◽  
Scoping Review ◽  
User Authentication ◽  
Low Cost ◽  
The United States ◽  
Study Data ◽  
Emotional States ◽  
Scoping Reviews ◽  
Meta Analyses

AbstractBACKGROUNDCommercially-made low-cost electroencephalography (EEG) devices have become increasingly available over the last decade. One of these devices, Emotiv EPOC, is currently used in a wide variety of settings, including brain-computer interface (BCI) and cognitive neuroscience research.PURPOSEThe aim of this study was to chart peer-reviewed reports of Emotiv EPOC projects to provide an informed summary on the use of this device for scientific purposes.METHODSWe followed a five-stage methodological framework for a scoping review that included a systematic search using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. We searched the following electronic databases: PsychINFO, MEDLINE, Embase, Web of Science, and IEEE Xplore. We charted study data according to application (BCI, clinical, signal processing, experimental research, and validation) and location of use (as indexed by the first author’s address).RESULTSWe identified 382 relevant studies. The top five publishing countries were the United States (n = 35), India (n = 25), China (n = 20), Poland (n = 17), and Pakistan (n = 17). The top five publishing cities were Islamabad (n = 11), Singapore (n = 10), Cairo, Sydney, and Bandung (n = 7 each). Most of these studies used Emotiv EPOC for BCI purposes (n = 277), followed by experimental research (n = 51). Thirty-one studies were aimed at validating EPOC as an EEG device and a handful of studies used EPOC for improving EEG signal processing (n = 12) or for clinical purposes (n = 11).CONCLUSIONSIn its first 10 years, Emotiv EPOC has been used around the world in diverse applications, from control of robotic limbs and wheelchairs to user authentication in security systems to identification of emotional states. Given the widespread use and breadth of applications, it is clear that researchers are embracing this technology.

scholarly journals Artificial Intelligence in the Fight Against COVID-19: Scoping Review (Preprint)

2020 ◽  
Author(s):  
Alaa Abd-Alrazaq ◽  
Mohannad Alajlani ◽  
Dari Alhuwail ◽  
Jens Schneider ◽  
Saif Al-Kuwari ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Scoping Review ◽  
Data Extraction ◽  
Length Of Hospital Stay ◽  
Support Vector ◽  
Data Sets ◽  
Daily Lives ◽  
Scoping Reviews ◽  
Target Disease ◽  
Meta Analyses

BACKGROUND In December 2019, COVID-19 broke out in Wuhan, China, leading to national and international disruptions in health care, business, education, transportation, and nearly every aspect of our daily lives. Artificial intelligence (AI) has been leveraged amid the COVID-19 pandemic; however, little is known about its use for supporting public health efforts. OBJECTIVE This scoping review aims to explore how AI technology is being used during the COVID-19 pandemic, as reported in the literature. Thus, it is the first review that describes and summarizes features of the identified AI techniques and data sets used for their development and validation. METHODS A scoping review was conducted following the guidelines of PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). We searched the most commonly used electronic databases (eg, MEDLINE, EMBASE, and PsycInfo) between April 10 and 12, 2020. These terms were selected based on the target intervention (ie, AI) and the target disease (ie, COVID-19). Two reviewers independently conducted study selection and data extraction. A narrative approach was used to synthesize the extracted data. RESULTS We considered 82 studies out of the 435 retrieved studies. The most common use of AI was diagnosing COVID-19 cases based on various indicators. AI was also employed in drug and vaccine discovery or repurposing and for assessing their safety. Further, the included studies used AI for forecasting the epidemic development of COVID-19 and predicting its potential hosts and reservoirs. Researchers used AI for patient outcome–related tasks such as assessing the severity of COVID-19, predicting mortality risk, its associated factors, and the length of hospital stay. AI was used for infodemiology to raise awareness to use water, sanitation, and hygiene. The most prominent AI technique used was convolutional neural network, followed by support vector machine. CONCLUSIONS The included studies showed that AI has the potential to fight against COVID-19. However, many of the proposed methods are not yet clinically accepted. Thus, the most rewarding research will be on methods promising value beyond COVID-19. More efforts are needed for developing standardized reporting protocols or guidelines for studies on AI.

scholarly journals Rabies mortality and morbidity associated with animal bites in Africa: a case for integrated rabies disease surveillance, prevention and control: a scoping review

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e048551
Author(s):  
Peter Suwirakwenda Nyasulu ◽  
Jacqueline Weyer ◽  
Rea Tschopp ◽  
Adane Mihret ◽  
Abraham Aseffa ◽  
...  
Keyword(s):  
Scoping Review ◽  
Disease Surveillance ◽  
Prevention And Control ◽  
Control Strategies ◽  
Post Exposure Prophylaxis ◽  
Mortality And Morbidity ◽  
Creative Commons ◽  
Scoping Reviews ◽  
Meta Analyses ◽  
And Control

ObjectiveThe objective of this scoping review was to map the current situation and available evidence and gaps on rabies morbidity, mortality, integrated rabies surveillance programmes, and existing prevention and control strategies in Africa.MethodsWe conducted a systematic scoping review following the Joanna Briggs methodology and Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews checklist. Medline, Embase, CINAHL (EBSCOHost), Scopus, Web of Science and rabies web conferences were used to search for peer-reviewed publications between January 1946 and May 2020. Two researchers reviewed the studies and extracted data based on author (year) and region, study design and data collection duration, participants/comparators, interventions, control conditions/exposures and outcomes (rabies mortality and morbidity) and key findings/gaps/challenges. The results were reported narratively using Arksey and O’Malley’s methodological framework.ResultsElectronic search yielded 2775 records, of which 43 studies were included. A total of 543 714 bite victims were censored through the included studies. Most of the victims were less than 15 years of age. The studies included rabies morbidity (21) and mortality (15) fluctuating in space and time across Africa depending on countries’ rabies prevention and control practices (16). Others were surveillance (nine studies); surveillance and prevention (five studies); management and control (seven studies); and surveillance, prevention and control (six studies). We found challenges in rabies reporting, existing dog vaccination programmes and post-exposure prophylaxis availability or compliance.ConclusionThis study found challenges for dog rabies control and elimination in Africa and the need for a policy to drive the goal of zero dog-transmitted rabies to humans by 2030.This is an open-access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build on this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated and the use is non-commercial (see http://creativecommons.org/licenses/by-nc/4.0/).

scholarly journals Artificial Intelligence in the Fight Against COVID-19: Scoping Review

10.2196/20756 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e20756 ◽  
Author(s):  
Alaa Abd-Alrazaq ◽  
Mohannad Alajlani ◽  
Dari Alhuwail ◽  
Jens Schneider ◽  
Saif Al-Kuwari ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Scoping Review ◽  
Data Extraction ◽  
Length Of Hospital Stay ◽  
Support Vector ◽  
Data Sets ◽  
Daily Lives ◽  
Scoping Reviews ◽  
Target Disease ◽  
Meta Analyses

Background In December 2019, COVID-19 broke out in Wuhan, China, leading to national and international disruptions in health care, business, education, transportation, and nearly every aspect of our daily lives. Artificial intelligence (AI) has been leveraged amid the COVID-19 pandemic; however, little is known about its use for supporting public health efforts. Objective This scoping review aims to explore how AI technology is being used during the COVID-19 pandemic, as reported in the literature. Thus, it is the first review that describes and summarizes features of the identified AI techniques and data sets used for their development and validation. Methods A scoping review was conducted following the guidelines of PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). We searched the most commonly used electronic databases (eg, MEDLINE, EMBASE, and PsycInfo) between April 10 and 12, 2020. These terms were selected based on the target intervention (ie, AI) and the target disease (ie, COVID-19). Two reviewers independently conducted study selection and data extraction. A narrative approach was used to synthesize the extracted data. Results We considered 82 studies out of the 435 retrieved studies. The most common use of AI was diagnosing COVID-19 cases based on various indicators. AI was also employed in drug and vaccine discovery or repurposing and for assessing their safety. Further, the included studies used AI for forecasting the epidemic development of COVID-19 and predicting its potential hosts and reservoirs. Researchers used AI for patient outcome–related tasks such as assessing the severity of COVID-19, predicting mortality risk, its associated factors, and the length of hospital stay. AI was used for infodemiology to raise awareness to use water, sanitation, and hygiene. The most prominent AI technique used was convolutional neural network, followed by support vector machine. Conclusions The included studies showed that AI has the potential to fight against COVID-19. However, many of the proposed methods are not yet clinically accepted. Thus, the most rewarding research will be on methods promising value beyond COVID-19. More efforts are needed for developing standardized reporting protocols or guidelines for studies on AI.

scholarly journals Digital Health Training Programs for Medical Students: Scoping Review (Preprint)

2021 ◽  
Author(s):  
Lorainne Tudor Car ◽  
Bhone Myint Kyaw ◽  
Rishi S Nannan Panday ◽  
Rianne van der Kleij ◽  
Niels Chavannes ◽  
...  
Keyword(s):  
Medical Students ◽  
Health Education ◽  
Scoping Review ◽  
Digital Health ◽  
The United States ◽  
Bibliographic Databases ◽  
Offline Learning ◽  
Scoping Reviews ◽  
Before And After ◽  
Meta Analyses

BACKGROUND Medical schools worldwide are accelerating the introduction of digital health courses into their curricula. The COVID-19 pandemic has contributed to this swift and widespread transition to digital health and education. However, the need for digital health competencies goes beyond the COVID-19 pandemic because they are becoming essential for the delivery of effective, efficient, and safe care. OBJECTIVE This review aims to collate and analyze studies evaluating digital health education for medical students to inform the development of future courses and identify areas where curricula may need to be strengthened. METHODS We carried out a scoping review by following the guidance of the Joanna Briggs Institute, and the results were reported in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. We searched 6 major bibliographic databases and gray literature sources for articles published between January 2000 and November 2019. Two authors independently screened the retrieved citations and extracted the data from the included studies. Discrepancies were resolved by consensus discussions between the authors. The findings were analyzed using thematic analysis and presented narratively. RESULTS A total of 34 studies focusing on different digital courses were included in this review. Most of the studies (22/34, 65%) were published between 2010 and 2019 and originated in the United States (20/34, 59%). The reported digital health courses were mostly elective (20/34, 59%), were integrated into the existing curriculum (24/34, 71%), and focused mainly on medical informatics (17/34, 50%). Most of the courses targeted medical students from the first to third year (17/34, 50%), and the duration of the courses ranged from 1 hour to 3 academic years. Most of the studies (22/34, 65%) reported the use of blended education. A few of the studies (6/34, 18%) delivered courses entirely digitally by using online modules, offline learning, massive open online courses, and virtual patient simulations. The reported courses used various assessment approaches such as paper-based assessments, in-person observations, and online assessments. Most of the studies (30/34, 88%) evaluated courses mostly by using an uncontrolled before-and-after design and generally reported improvements in students’ learning outcomes. CONCLUSIONS Digital health courses reported in literature are mostly elective, focus on a single area of digital health, and lack robust evaluation. They have diverse delivery, development, and assessment approaches. There is an urgent need for high-quality studies that evaluate digital health education.

scholarly journals Nursing intervention focusing on health promotion behaviors in adult cancer patients: a scoping review

2021 ◽  
Vol 55 ◽  
Author(s):  
Nuno Miguel dos Santos Martins Peixoto ◽  
Tiago André dos Santos Martins Peixoto ◽  
Cândida Assunção Santos Pinto ◽  
Célia Samarina Vilaça de Brito Santos
Keyword(s):  
Health Promotion ◽  
Health Education ◽  
Cancer Patients ◽  
Scoping Review ◽  
Nursing Intervention ◽  
Healthy Behaviors ◽  
Health Promotion Behaviors ◽  
Intervention Cost ◽  
Scoping Reviews ◽  
Meta Analyses

ABSTRACT Objective: This review aims to map and provide an overview of literature concerning nursing strategies and intervention programs that promote healthy behaviors in cancer patients. Method: A scoping review was conducted using the methodological framework developed by Joanna Briggs Institute and preferred reporting items for systematic reviews and meta-analyses extension for scoping reviews. Twelve databases were searched (2012-2019). Retrieved data included descriptive analyses exploring studies’ methodological characteristics and results. Results: From 1589 studies, 12 were included. Most studies included patients on survivorship period (n=10) and selected intervention strategies focusing patient’s knowledge and awareness (n=8). Educational sessions were supported by behavioral change reinforcements and motivational incentives. Only two of the considered studies analysed intervention cost effectiveness, but none disclosed intervention-related costs. Conclusion: Nursing interventions are effective in promoting health behaviors when include health education and encouragement towards change. Survivorship is the perfect time for health promotion. Nurses can be considered health promoters, by encouraging health education and enhance survivor’s motivation.

scholarly journals Digital Health Training Programs for Medical Students: Scoping Review

10.2196/28275 ◽  
2021 ◽  
Vol 7 (3) ◽  
pp. e28275
Author(s):  
Lorainne Tudor Car ◽  
Bhone Myint Kyaw ◽  
Rishi S Nannan Panday ◽  
Rianne van der Kleij ◽  
Niels Chavannes ◽  
...  
Keyword(s):  
Medical Students ◽  
Health Education ◽  
Scoping Review ◽  
Digital Health ◽  
The United States ◽  
Bibliographic Databases ◽  
Offline Learning ◽  
Scoping Reviews ◽  
Before And After ◽  
Meta Analyses

Background Medical schools worldwide are accelerating the introduction of digital health courses into their curricula. The COVID-19 pandemic has contributed to this swift and widespread transition to digital health and education. However, the need for digital health competencies goes beyond the COVID-19 pandemic because they are becoming essential for the delivery of effective, efficient, and safe care. Objective This review aims to collate and analyze studies evaluating digital health education for medical students to inform the development of future courses and identify areas where curricula may need to be strengthened. Methods We carried out a scoping review by following the guidance of the Joanna Briggs Institute, and the results were reported in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. We searched 6 major bibliographic databases and gray literature sources for articles published between January 2000 and November 2019. Two authors independently screened the retrieved citations and extracted the data from the included studies. Discrepancies were resolved by consensus discussions between the authors. The findings were analyzed using thematic analysis and presented narratively. Results A total of 34 studies focusing on different digital courses were included in this review. Most of the studies (22/34, 65%) were published between 2010 and 2019 and originated in the United States (20/34, 59%). The reported digital health courses were mostly elective (20/34, 59%), were integrated into the existing curriculum (24/34, 71%), and focused mainly on medical informatics (17/34, 50%). Most of the courses targeted medical students from the first to third year (17/34, 50%), and the duration of the courses ranged from 1 hour to 3 academic years. Most of the studies (22/34, 65%) reported the use of blended education. A few of the studies (6/34, 18%) delivered courses entirely digitally by using online modules, offline learning, massive open online courses, and virtual patient simulations. The reported courses used various assessment approaches such as paper-based assessments, in-person observations, and online assessments. Most of the studies (30/34, 88%) evaluated courses mostly by using an uncontrolled before-and-after design and generally reported improvements in students’ learning outcomes. Conclusions Digital health courses reported in literature are mostly elective, focus on a single area of digital health, and lack robust evaluation. They have diverse delivery, development, and assessment approaches. There is an urgent need for high-quality studies that evaluate digital health education.

Strengthening of occupational health promotion by the German Prevention Health Care Act

2019 ◽  
pp. 188-190
Author(s):  
Diana Hart
Keyword(s):  
Public Health ◽  
Health Care ◽  
Health Promotion ◽  
Primary Prevention ◽  
Occupational Health ◽  
Life Expectancy ◽  
Prevention And Control ◽  
Occupational Health Promotion ◽  
And Control

All countries are faced with the problem of the prevention and control of non-communicable diseases (NCD): implement prevention strategies eff ectively, keep up the momentum with long term benefi ts at the individual and the population level, at the same time tackling hea lth inequalities. Th e aff ordability of therapy and care including innovative therapies is going to be one of the key public health priorities in the years to come. Germany has taken in the prevention and control of NCDs. Germany’s health system has a long history of guaranteeing access to high-quality treatment through universal health care coverage. Th r ough their membership people are entitled to prevention and care services maintaining and restoring their health as well as long term follow-up. Like in many other countries general life expectancy has been increasing steadily in Germany. Currently, the average life expectancy is 83 and 79 years in women and men, respectively. Th e other side of the coin is that population aging is strongly associated with a growing burden of disease from NCDs. Already over 70 percent of all deaths in Germany are caused by four disease entities: cardiovascular disease, cancer, chronic respiratory disease and diabetes. Th ese diseases all share four common risk factors: smoking, alcohol abuse, lack of physical activity and overweight. At the same time, more and more people become long term survivors of disease due to improved therapy and care. Th e German Government and public health decision makers are aware of the need for action and have responded by initiating and implementing a wide spectrum of activities. One instrument by strengthening primary prevention is the Prevention Health Care Act. Its overarching aim is to prevent NCDs before they can manifest themselves by strengthening primary prevention and health promotion in diff erent sett ings. One of the main emphasis of the Prevention Health Care Act is the occupational health promotion at the workplace.

Factors Related to Positive Memory Count Among Trauma-Exposed Individuals: A Scoping Review

2021 ◽  
pp. 152483802110131
Author(s):  
Ateka A. Contractor ◽  
Stephanie V. Caldas ◽  
Megan Dolan ◽  
Nicole H. Weiss
Keyword(s):  
Scoping Review ◽  
Stress Disorder ◽  
Acute Stress ◽  
Longitudinal Research ◽  
Trauma Exposure ◽  
Memory Specificity ◽  
Scoping Reviews ◽  
Meta Analyses ◽  
Study Designs ◽  
Positive Memories

To examine the existing knowledge base on trauma experiences and positive memories, we conducted a scoping review of trauma and post-trauma factors related to positive memory count. In July 2019, we searched PubMed, Medline, PsycINFO, Web of Science, Cumulative Index of Nursing and Allied Health Literature, Embase, and PTSDpubs for a combination of words related to “positive memories/experiences,” “trauma/posttraumatic stress disorder (PTSD),” and “number/retrieval.” Twenty-one articles met inclusion criteria (adult samples, original articles in English, peer-reviewed, included trauma-exposed group or variable of trauma exposure, trauma exposure examined with a trauma measure/methodology, assessed positive memory count, empirical experimental/non-experimental study designs). Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines, two authors reviewed abstracts, completed a secondary search, and independently extracted data. Our review indicated (1) that depression and PTSD were most researched; (2) no conclusive relationships of positive memory count with several psychopathology (depression, acute stress disorder, eating disorder, and anxiety), cognitive/affective, neurobiological, and demographic factors; (3) trends of potential relationships of positive memory count with PTSD and childhood interpersonal traumas (e.g., sexual and physical abuse); and (4) lower positive memory specificity as a potential counterpart to greater overgeneral positive memory bias. Given variations in sample characteristics and methodology as well as the limited longitudinal research, conclusions are tentative and worthy of further investigations.

scholarly journals Effectiveness of Tai Chi for Health Promotion of Older Adults: A Scoping Review of Meta-Analyses

2021 ◽  
pp. 155982762110012
Author(s):  
Fei-Chi Yang ◽  
Aishwarya B. Desai ◽  
Pelareh Esfahani ◽  
Tatiana V. Sokolovskaya ◽  
Doreen J. Bartlett
Keyword(s):  
Older Adults ◽  
Health Promotion ◽  
Health Outcomes ◽  
Scoping Review ◽  
General Health ◽  
Tai Chi ◽  
Well Being ◽  
Cochrane Library ◽  
Care Providers ◽  
Meta Analyses

Background. Tai Chi is a form of exercise that is accessible to people from different socioeconomic backgrounds, making it a potentially valuable activity for health promotion of older adults. Purpose. The objective of this scoping review was to summarize the current knowledge about the effectiveness of Tai Chi for older adults across a range of general health outcomes from published, peer reviewed, unique meta-analyses. Methods. Meta-analyses were retrieved from Medline, Embase, AMED, CINAHL, SPORTDiscus, PsychINFO, Web of Science, PubMed Health, and the Cochrane Library from database inception to late August 2019. Multistage deduplication and screening processes identified eligible full-length meta-analyses. Two people independently appraised 27 meta-analyses based on the GRADE system and organized results into 3 appendices subsequently collated into heterogeneous, statistically significant, and statistically insignificant tables. Results. “High” and “moderate” quality evidence extracted from these meta-analyses demonstrated that practicing Tai Chi can significantly improve balance, cardiorespiratory fitness, cognition, mobility, proprioception, sleep, and strength; reduce the incidence of falls and nonfatal stroke; and decrease stroke risk factors. Conclusions. Health care providers can now recommend Tai Chi with high level of certainty for health promotion of older adults across a range of general health outcomes for improvement of overall well-being.

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