RESUMO
Non-communicable diseases (NCDs) are the leading cause of death worldwide. NCDs also increase mortality from COVID-19 and primary health care (PHC) services are an important component in the prevention and control of long-term NCDs. The main goal of the present study was to review primary healthcare services for the NCDs patients via primary healthcare network during COVID-19 pandemic. In this scoping review, Search engines including PubMed, Scopus, and Science-direct up to 1st February 2022 were searched to identify studies regarding primary care services for NCDs patients via primary health care during COVID-19 pandemic. A total of 42 studies met the inclusion criteria and were included in our analysis. 24 studies were about the status and changes of primary health services for NCDs patients in PHC settings, while 18 studies focused on adaptive strategies used during COVID-19 in different countries including United States, Canada, United Kingdom, Portugal, Georgia, South Africa, Thailand, Mexico, India, Kenya, Guatemala and Saudi Arabia. These strategies included remote monitoring, follow up, consultation, empowerment and educational services as well as home visiting Disruption of NCDs services in PHC during the COVID-19 pandemic was observed in different countries, which highlights the urgency of attention of researchers and policy-makers to development of appropriate and adaptive policies to improve PHC service coverage and its quality during the pandemics.
RESUMO
Background: Rapid development in today's modern world have made predicting the future difficult. Hospitals, as a major complex in a community, are no exception. Knowing the future facilitates laying plans for it. To predict the future, knowing the factors affecting the future is crucial. This study was therefore conducted to identify and predict the factors affecting the future of hospitals in Iran. Methods: This study was conducted in three steps. The drivers of the future of hospitals in Iran were listed by analyzing the results of a literature review and then semi-structured interviews with hospital experts. Afterward, the effect of individual drivers was determined using the Fuzzy Analytical Hierarchy Process (FAHP) by formulated in excel software. Results: Based on the results of the first Phase, 30 effective drivers were identified in 6 areas of modern technology, economy, politics, demography and community, environment, and culture. Prioritization results showed that modern technology (0.246) and economic factors (0.198) had priority over the other factors. Moreover, the effects of sub-factors such as modern information technology and technologies on the future of public hospitals in Iran were more significant compared to those of the other factors. Conclusion: The present results showed that information technology and modern technology, as well as the economy, were the two main drivers of the future of public hospitals in Iran. Hospitals should identify and lay plans for the mechanisms through which the two factors affect hospitals, given their failure to control the upward trends of the factors.