STUDY DESIGN: This is a cross-sectional study.
METHODS: This study was completed alongside similar studies undertaken by the rest of the Gulf Cooperation Council (GCC) countries and led by Kingdom of Saudi Arabia (KSA). The study will allow further understanding of possible obstacles that may be encountered while implementing a nationwide prevention program. The 10-dimensional model of readiness had been developed by the World Health Organization (WHO) in collaboration with five countries (Brazil, The Former Yugoslav Republic of Macedonia, Malaysia, Saudi Arabia, and South Africa) through a five-stage process. Stakeholders and decision makers were invited to participate. Scores for each dimension were compared with those for the rest of the GCC countries.
RESULTS: The overall score of Kuwait was 39.17 out of 100. This was below the mean average score for the GCC countries (47.83). Out of the 10 dimensions, key informants scored the highest on legislation, mandates and policies (6.61). The lowest score was reported on attitudes towards CM prevention (1.94). Informal social resources (5.72) ranked the highest as compared to the rest of the GCC countries.
CONCLUSIONS: The readiness of Kuwait is weak on several dimensions and needs to be strengthened. Despite that, the country is moderately ready to implement large-scale evidence-based CM prevention programs because it is strong in the infrastructure of knowledge, legislation, mandates, and policies and informal social resources.
METHODS: Based on the best available clinical knowledge and best practices, an eight member multidisciplinary group of clinical and quality experts undertook the development of a clinical algorithm-based toolkit to guide training and practice for the management of patients with COVID-19. The team followed Horabin and Lewis' seven-step approach in developing the algorithms and a five-step method in writing them. Moreover, we applied Rosenfeld et al's five points to each algorithm.
RESULTS: A set of seven clinical algorithms and one illustrative layout diagram were developed. The algorithms were augmented with documentation forms, data-collection online forms and spreadsheets and an indicators' reference sheet to guide implementation and performance measurement. The final version underwent several revisions and amendments prior to approval.
CONCLUSIONS: A large volume of published literature on the topic of COVID-19 pandemic was translated into a user-friendly, algorithm-based toolkit for the management of patients with COVID-19. This toolkit can be used for training and decision-making to improve the quality of care provided to patients with COVID-19.