Global and public health core competencies for nursing education: A systematic review of essential competencies

2016 ◽  
Vol 40 ◽  
pp. 173-180 ◽  
Author(s):  
Megan Clark ◽  
Marie Raffray ◽  
Kristin Hendricks ◽  
Anita J. Gagnon
2010 ◽  
Vol 25 (5) ◽  
pp. 387-395 ◽  
Author(s):  
Elaine Daily ◽  
Patricia Padjen ◽  
Marvin Birnbaum

AbstractIntroduction:In order to prepare the healthcare system and healthcare personnel to meet the health needs of populations affected by disasters, educational programs have been developed by numerous academic institutions, hospitals, professional organizations, governments, and non-government organizations. Lacking standards for best practices as a foundation, many organizations and institutions have developed “core competencies” that they consider essential knowledge and skills for disaster healthcare personnel.Problem:The Nursing Section of the World Association for Disaster and Emergency Medicine (WADEM) considered the possibility of endorsing an existing set of competencies that could be used to prepare nurses universally to participate in disaster health activities. This study was undertaken for the purpose of reviewing published disaster health competencies to determine commonalities and universal applicability for disaster preparedness.Methods:In 2007, a review of the electronic literature databases was conducted using the major keywords: disaster response competencies; disaster preparedness competencies; emergency response competencies; disaster planning competencies; emergency planning competencies; public health emergency preparedness competencies; disaster nursing competencies; and disaster nursing education competencies. A manual search of references and selected literature from public and private sources also was conducted. Inclusion criteria included: English language; competencies listed or specifically referred to; competencies relevant to disaster, mass-casualty incident (MCI), or public health emergency; and competencies relevant to healthcare.Results:Eighty-six articles were identified; 20 articles failed to meet the initial inclusion criteria; 27 articles did not meet the additional criteria, leaving 39 articles for analysis. Twenty-eight articles described competencies targeted to a specific profession/discipline, while 10 articles described competencies targeted to a defined role or function during a disaster. Four of the articles described specific competencies according to skill level, rather than to a specific role or function. One article defined competencies according to specific roles as well as proficiency levels. Two articles categorized disaster nursing competencies according to the phases of the disaster management continuum. Fourteen articles described specified competencies as “core” competencies for various target groups, while one article described “cross-cutting” competencies applicable to all healthcare workers.Conclusions:Hundreds of competencies for disaster healthcare personnel have been developed and endorsed by governmental and professional organizations and societies. Imprecise and inconsistent terminology and structure are evident throughout the reviewed competency sets. Universal acceptance and application of these competencies are lacking and none have been validated. Further efforts must be directed to developing a framework and standardized terminology for the articulation of competency sets for disaster health professionals that can by accepted and adapted universally.


2021 ◽  
Vol 15 ◽  
pp. 117863022110183
Author(s):  
Hamidreza Aghababaeian ◽  
Abbas Ostadtaghizadeh ◽  
Ali Ardalan ◽  
Ali Asgary ◽  
Mehry Akbary ◽  
...  

Background: Dust storms and their impacts on health are becoming a major public health issue. The current study examines the health impacts of dust storms around the world to provide an overview of this issue. Method: In this systematic review, 140 relevant and authoritative English articles on the impacts of dust storms on health (up to September 2019) were identified and extracted from 28 968 articles using valid keywords from various databases (PubMed, WOS, EMBASE, and Scopus) and multiple screening steps. Selected papers were then qualitatively examined and evaluated. Evaluation results were summarized using an Extraction Table. Results: The results of the study are divided into two parts: short and long-term impacts of dust storms. Short-term impacts include mortality, visitation, emergency medical dispatch, hospitalization, increased symptoms, and decreased pulmonary function. Long-term impacts include pregnancy, cognitive difficulties, and birth problems. Additionally, this study shows that dust storms have devastating impacts on health, affecting cardiovascular and respiratory health in particular. Conclusion: The findings of this study show that dust storms have significant public health impacts. More attention should be paid to these natural hazards to prepare for, respond to, and mitigate these hazardous events to reduce their negative health impacts. Registration: PROSPERO registration number CRD42018093325


Author(s):  
Anil Babu Payedimarri ◽  
Diego Concina ◽  
Luigi Portinale ◽  
Massimo Canonico ◽  
Deborah Seys ◽  
...  

Artificial Intelligence (AI) and Machine Learning (ML) have expanded their utilization in different fields of medicine. During the SARS-CoV-2 outbreak, AI and ML were also applied for the evaluation and/or implementation of public health interventions aimed to flatten the epidemiological curve. This systematic review aims to evaluate the effectiveness of the use of AI and ML when applied to public health interventions to contain the spread of SARS-CoV-2. Our findings showed that quarantine should be the best strategy for containing COVID-19. Nationwide lockdown also showed positive impact, whereas social distancing should be considered to be effective only in combination with other interventions including the closure of schools and commercial activities and the limitation of public transportation. Our findings also showed that all the interventions should be initiated early in the pandemic and continued for a sustained period. Despite the study limitation, we concluded that AI and ML could be of help for policy makers to define the strategies for containing the COVID-19 pandemic.


2021 ◽  
Vol 40 (1) ◽  
pp. 61-79
Author(s):  
Carmela Alcántara ◽  
Shakira F. Suglia ◽  
Irene Perez Ibarra ◽  
A. Louise Falzon ◽  
Elliot McCullough ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
M. Flook ◽  
C. Jackson ◽  
E. Vasileiou ◽  
C. R. Simpson ◽  
M. D. Muckian ◽  
...  

Abstract Background Severe Acute Respiratory Syndrome coronavirus-2 (SARS-CoV-2) has challenged public health agencies globally. In order to effectively target government responses, it is critical to identify the individuals most at risk of coronavirus disease-19 (COVID-19), developing severe clinical signs, and mortality. We undertook a systematic review of the literature to present the current status of scientific knowledge in these areas and describe the need for unified global approaches, moving forwards, as well as lessons learnt for future pandemics. Methods Medline, Embase and Global Health were searched to the end of April 2020, as well as the Web of Science. Search terms were specific to the SARS-CoV-2 virus and COVID-19. Comparative studies of risk factors from any setting, population group and in any language were included. Titles, abstracts and full texts were screened by two reviewers and extracted in duplicate into a standardised form. Data were extracted on risk factors for COVID-19 disease, severe disease, or death and were narratively and descriptively synthesised. Results One thousand two hundred and thirty-eight papers were identified post-deduplication. Thirty-three met our inclusion criteria, of which 26 were from China. Six assessed the risk of contracting the disease, 20 the risk of having severe disease and ten the risk of dying. Age, gender and co-morbidities were commonly assessed as risk factors. The weight of evidence showed increasing age to be associated with severe disease and mortality, and general comorbidities with mortality. Only seven studies presented multivariable analyses and power was generally limited. A wide range of definitions were used for disease severity. Conclusions The volume of literature generated in the short time since the appearance of SARS-CoV-2 has been considerable. Many studies have sought to document the risk factors for COVID-19 disease, disease severity and mortality; age was the only risk factor based on robust studies and with a consistent body of evidence. Mechanistic studies are required to understand why age is such an important risk factor. At the start of pandemics, large, standardised, studies that use multivariable analyses are urgently needed so that the populations most at risk can be rapidly protected. Registration This review was registered on PROSPERO as CRD42020177714.


Author(s):  
Jessica Alejandra Ruiz-Ramírez ◽  
Yury Arenis Olarte-Arias ◽  
Leonardo David Glasserman-Morales

This study systematically reviewed processes and educational programs for self-management of health and diseases that are the subject of public health attention. This systematic review of the literature (SRL) is relevant to recognizing the characteristics of the educational processes in self-managing chronic diseases in contexts where technology did not play a significant role. Following the PRISMA protocol, the authors independently reviewed full-text articles from several databases using the following criteria: (1) intervention studies evaluating the effects of self-management health programs; (2) educational process of disease self-management; (3) studies that included at least one control group, and (4) peer-reviewed studies. In addition, the Scottish Intercollegiate Guideline Network measurement tool was used to assess the risk of bias in each trial. In the final sample, 38 articles were included. The findings regarding health education methods of self-care, using community-based care and technological tools, are considered fundamental. Among the conclusions, the relevance of the pedagogy that health education processes demand improvement in post-pandemic program effectiveness stands out.


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