Aim: This study aimed to explore the perceptions of the highly specialized nurses who provided extracorporeal membrane oxygenation therapy for the mostly young and critically ill patients during the 2009 H1N1 pandemic. Background: The 2009 influenza A (H1N1) virus caused a global pandemic and also affected New Zealand during that winter. Nine H1N1-infected adult patients with severe acute respiratory distress syndrome were admitted into an intensive care unit of a large urban hospital for rescue extracorporeal membrane oxygenation therapy. Design: The study used a two-phase mix methods study design. Methods: Phase 1 of the study involved five nurses attending a focus group interview to collect their views of the challenges and issues of caring for these patients. The results of the focus group were used to formulate the phase 2 survey. In total, 25 eligible nurses were invited to complete an anonymous survey; 18 completed and returned surveys giving a 72% response rate. Results: The survey identified issues including the acuity and high mortality rate of those affected, nurses working in an isolated environment because of infection control requirements, limited support and being asked to work extra shifts. Conclusion: Despite these challenges, the nurses felt positive about their experience of caring for the H1N1 patients, and felt the experience advanced their skills and improved job satisfaction. Relevance to Clinical Practice: For future pandemics, this study identified the need for all staff to have a basic understanding of extracorporeal membrane oxygenation; strengthen inter-professional collaboration and communication; provision for more support and recognition of these highly specialized nurses, along with providing regular pandemic updates and offering counselling services.
Summary Background: While health informatics recommendations on competencies and education serve as highly desirable corridors for designing curricula and courses, they cannot show how the content should be situated in a specific and local context. Therefore, global and local perspectives need to be reconciled in a common framework. Objectives: The primary aim of this study is therefore to empirically define and validate a framework of globally accepted core competency areas in health informatics and to enrich this framework with exemplar information derived from local educational settings. Methods: To this end, (i) a survey was deployed and yielded insights from 43 nursing experts from 21 countries worldwide to measure the relevance of the core competency areas, (ii) a workshop at the International Nursing Informatics Conference (NI2016) held in June 2016 to provide information about the validation and clustering of these areas and (iii) exemplar case studies were compiled to match these findings with the practice. The survey was designed based on a comprehensive compilation of competencies from the international literature in medical and health informatics. Results: The resulting recommendation framework consists of 24 core competency areas in health informatics defined for five major nursing roles. These areas were clustered in the domains “data, information, knowledge”, “information exchange and information sharing”, “ethical and legal issues”, “systems life cycle management”, “management” and “biostatistics and medical technology”, all of which showed high reliability values. The core competency areas were ranked by relevance and validated by a different group of experts. Exemplar case studies from Brazil, Germany, New Zealand, Taiwan/China, United Kingdom (Scotland) and the United States of America expanded on the competencies described in the core competency areas. Conclusions: This international recommendation framework for competencies in health informatics directed at nurses provides a grid of knowledge for teachers and learner alike that is instantiated with knowledge about informatics competencies, professional roles, priorities and practical, local experience. It also provides a methodology for developing frameworks for other professions/disciplines. Finally, this framework lays the foundation of cross-country learning in health informatics education for nurses and other health professionals.
Tertiary institutions aim to provide high quality teaching and learning that meet the academic needs for an increasingly diverse student body including indigenous students. Tā tou Tā tou is a qualitative research project utilising Kaupapa Mā ori research methodology and the Critical Incident Technique interview method to investigate the teaching and learning practices that help or hinder Mā ori student success in non-lecture settings within undergraduate health programmes at the University of Auckland. Forty-one interviews were completed from medicine, health sciences, nursing and pharmacy. A total of 1346 critical incidents were identified with 67% helping and 33% hindering Mā ori student success. Thirteen sub-themes were grouped into three overarching themes representing potential areas of focus for tertiary institutional undergraduate health programme development: Mā ori student support services, undergraduate programme, and Mā ori student whanaungatanga. Academic success for indigenous students requires multi-faceted, inclusive, culturally responsive and engaging teaching and learning approaches delivered by educators and student support staff.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.