ABSTRACT
Background: Actions focused on age-friendly environments contribute to promote and maintain older people's functional ability and may enable them to contribute to their communities and enjoy life. As such, age-friendly practices require collaboration between diverse stakeholders across multiple sectors responsible for natural, built, and social environments, which can be particularly relevant during public health emergencies when socio-ecological vulnerabilities become more salient and may disproportionally affect older people. This paper presents a protocol for a scoping review aiming to investigate the breadth of evidence concerning the development, implementation, and evaluation of age-friendly practices during the COVID-19 pandemic. The protocol sets out the objectives, methods, and dissemination plans for the review. Methods: The scoping review will be conducted in line with the Joanna Briggs Institute (JBI) scoping review methodology. We will search databases (PubMed, Web of Science, Embase, CINAHL, Scopus, PsychNet) and grey literature sources. Publications relating to practices across the 8 domains of the World Health Organization's age-friendly cities and communities' framework will be included. A tabular data extraction tool will be used to facilitate a narrative synthesis of results. Ethics and dissemination: Ethical approval is not required as the methods proposed for this scoping review consist of collecting publicly available data. Findings will be reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for Scoping Reviews (PRISMA-ScR) and submitted to a journal for academic dissemination. Lay dissemination plans include an infographic and a blog-style article presenting our core results. Conclusion: The publication of this protocol allows for transparency in the systematic process of a scoping review focused on age-friendly practices during COVID-19. Findings emerging from the scoping review will provide insights into the evidence available regarding age-friendly activities during COVID-19 and may inform future age-friendly practices during public health emergencies and beyond.
ABSTRACT
The COVID-19 pandemic has provided stiff challenges for planning and resourcing in health services in the UK and worldwide. Epidemiological models can provide simulations of how infectious disease might progress in a population given certain parameters. We adapted an agent-based model of COVID-19 to inform planning and decision-making within a healthcare setting, and created a software framework that automates processes for calibrating the model parameters to health data and allows the model to be run at national population scale on National Health Service (NHS) infrastructure. We developed a method for calibrating the model to three daily data streams (hospital admissions, intensive care occupancy, and deaths), and demonstrate that on cross-validation the model fits acceptably to unseen data streams including official estimates of COVID-19 incidence. Once calibrated, we use the model to simulate future scenarios of the spread of COVID-19 in England and show that the simulations provide useful projections of future COVID-19 clinical demand. These simulations were used to support operational planning in the NHS in England, and we present the example of the use of these simulations in projecting future clinical demand during the rollout of the national COVID-19 vaccination programme. Being able to investigate uncertainty and test sensitivities was particularly important to the operational planning team. This epidemiological model operates within an ecosystem of data technologies, drawing on a range of NHS, government and academic data sources, and provides results to strategists, planners and downstream data systems. We discuss the data resources that enabled this work and the data challenges that were faced.
Subject(s)
COVID-19 , Humans , State Medicine , Pandemics , COVID-19 Vaccines , Calibration , Ecosystem , Delivery of Health CareABSTRACT
Background: Actions focused on age-friendly environments contribute to promote and maintain older people's functional ability and may enable them to contribute to their communities and enjoy life. As such, age-friendly practices require collaboration between diverse stakeholders across multiple sectors responsible for natural, built, and social environments, which can be particularly relevant during public health emergencies when socio-ecological vulnerabilities become more salient and may disproportionally affect older people. This paper presents a protocol for a scoping review aiming to investigate the breadth of evidence concerning the development, implementation, and evaluation of age-friendly practices during the COVID-19 pandemic. The protocol sets out the objectives, methods, and dissemination plans for the review. Methods: The scoping review will be conducted in line with the Joanna Briggs Institute (JBI) scoping review methodology. We will search databases (PubMed, Web of Science, Embase, CINAHL, Scopus, PsychNet) and grey literature sources. Publications relating to practices across the 8 domains of the World Health Organization's age-friendly cities and communities' framework will be included. A tabular data extraction tool will be used to facilitate a narrative synthesis of results. Ethics and dissemination: Ethical approval is not required as the methods proposed for this scoping review consist of collecting publicly available data. Findings will be reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for Scoping Reviews (PRISMA-ScR) and submitted to a journal for academic dissemination. Lay dissemination plans include an infographic and a blog-style article presenting our core results. Conclusion: The publication of this protocol allows for transparency in the systematic process of a scoping review focused on age-friendly practices during COVID-19. Findings emerging from the scoping review will provide insights into the evidence available regarding age-friendly activities during COVID-19 and may inform future age-friendly practices during public health emergencies and beyond.