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      Training and redeployment of healthcare workers to intensive care units (ICUs) during the COVID-19 pandemic: a systematic review

      systematic-review

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          Abstract

          Objectives

          The rapid influx of patients with COVID-19 to intensive care at a rate that exceeds pre-existing staff capacity has required the rapid development of innovative redeployment and training strategies, which considered patient care and infection control. The aim of this study was to provide a detailed understanding of redeployment and training during the first year of the COVID-19 pandemic by capturing and considering the merit of the strategies enlisted and the experiences and needs of redeployed healthcare workers (HCWs).

          Design

          The review involved a systematic search of key terms related to intensive care AND training AND redeployment AND healthcare workers within nine databases (Medline, CINAHL, PsychINFO, MedRxiv, Web of Science, The Health Management Consortium database, Social Science Research Network, OpenGrey and TRIP), which took place on 16 July 2021. Analysis consisted of a synthesis of quantitative study outputs and framework-based thematic analysis of qualitative study outputs and grey literature. These results were then combined applying an interpretative synthesis. We followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses, and the review protocol was available online.

          Results

          Forty papers were analysed. These took place primarily in the UK (n=15, 37.5%) and USA (n=17, 42.5%). Themes presented in the results are redeployment: implementation strategies and learning; redeployed HCWs’ experience and strategies to address their needs; redeployed HCWs’ learning needs; training formats offered and training evaluations; and future redeployment and training delivery . Based on this, key principles for successful redeployment and training were proposed.

          Conclusions

          The COVID-19 pandemic presents unique challenges to develop flexible redeployment strategies and deliver training promptly while following infection control recommendations. This review synthesises original approaches to tackle these challenges, which are relevant to inform the development of targeted and adaptative training and redeployment plans considering the needs of HCWs.

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          Most cited references60

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          Using thematic analysis in psychology

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            Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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              Rayyan—a web and mobile app for systematic reviews

              Background Synthesis of multiple randomized controlled trials (RCTs) in a systematic review can summarize the effects of individual outcomes and provide numerical answers about the effectiveness of interventions. Filtering of searches is time consuming, and no single method fulfills the principal requirements of speed with accuracy. Automation of systematic reviews is driven by a necessity to expedite the availability of current best evidence for policy and clinical decision-making. We developed Rayyan (http://rayyan.qcri.org), a free web and mobile app, that helps expedite the initial screening of abstracts and titles using a process of semi-automation while incorporating a high level of usability. For the beta testing phase, we used two published Cochrane reviews in which included studies had been selected manually. Their searches, with 1030 records and 273 records, were uploaded to Rayyan. Different features of Rayyan were tested using these two reviews. We also conducted a survey of Rayyan’s users and collected feedback through a built-in feature. Results Pilot testing of Rayyan focused on usability, accuracy against manual methods, and the added value of the prediction feature. The “taster” review (273 records) allowed a quick overview of Rayyan for early comments on usability. The second review (1030 records) required several iterations to identify the previously identified 11 trials. The “suggestions” and “hints,” based on the “prediction model,” appeared as testing progressed beyond five included studies. Post rollout user experiences and a reflexive response by the developers enabled real-time modifications and improvements. The survey respondents reported 40% average time savings when using Rayyan compared to others tools, with 34% of the respondents reporting more than 50% time savings. In addition, around 75% of the respondents mentioned that screening and labeling studies as well as collaborating on reviews to be the two most important features of Rayyan. As of November 2016, Rayyan users exceed 2000 from over 60 countries conducting hundreds of reviews totaling more than 1.6M citations. Feedback from users, obtained mostly through the app web site and a recent survey, has highlighted the ease in exploration of searches, the time saved, and simplicity in sharing and comparing include-exclude decisions. The strongest features of the app, identified and reported in user feedback, were its ability to help in screening and collaboration as well as the time savings it affords to users. Conclusions Rayyan is responsive and intuitive in use with significant potential to lighten the load of reviewers.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2022
                7 January 2022
                7 January 2022
                : 12
                : 1
                : e050038
                Affiliations
                [1 ]departmentRapid Research Evaluation and Appraisal Lab (RREAL) , University College London , London, UK
                [2 ]departmentHealth Service and Population Research , King's College London Institute of Psychiatry Psychology and Neuroscience , London, UK
                [3 ]33N Ltd , London, UK
                [4 ]University Hospitals Birmingham NHS Foundation Trust , Birmingham, UK
                [5 ]London North West University Healthcare NHS Trust , London, UK
                [6 ]departmentAnaesthetics Department , St Bartholomew's Hospital , London, UK
                Author notes
                [Correspondence to ] Cecilia Vindrola-Padros; c.vindrola@ 123456ucl.ac.uk
                Author information
                http://orcid.org/0000-0002-8677-7341
                http://orcid.org/0000-0002-1524-4564
                http://orcid.org/0000-0001-7859-1646
                Article
                bmjopen-2021-050038
                10.1136/bmjopen-2021-050038
                8753114
                34996785
                4ea512d7-3574-45f9-ba02-6be631285529
                © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                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 upon 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/.

                History
                : 08 February 2021
                : 09 December 2021
                Funding
                Funded by: Health Education England;
                Award ID: N/A
                Categories
                Intensive Care
                1506
                2474
                1707
                Original research
                Custom metadata
                unlocked

                Medicine
                covid-19,health services administration & management,infection control,intensive & critical care,medical education & training,organisation of health services

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