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      “Assessing the impact of COVID-19 on the efficiency of Portuguese state-owned enterprise hospitals

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          Abstract

          This paper uses Value-Based Data Envelopment Analysis (VBDEA), to assess the impact of the COVID-19 pandemic on the efficiency of 37 state-owned enterprises (SOE) hospitals by employing data publicly available from the Portuguese Health Service database between January and November 2019 and 2020, respectively. Furthermore, a productivity index (specifically adjusted to the VBDEA approach) is also used that allows identifying which factors are behind the relative efficiency changes of these hospitals. The factors considered to perform the efficiency assessment of the Portuguese SOE hospitals include labour, capacity, and activity-related indicators. Out of the 37 SOE hospitals, 21 and 17 were efficient in 2019 and 2020, respectively. <Irrespective of the value functions considered, the hospitals more often viewed as a reference for best practices were Santa Maria Maior, Tâmega e Sousa and Entre Douro e Vouga. Santa Maria Maior and Algarve were the only hospitals found to be robustly efficient for both years. Overall, the majority of SOE hospitals showed negative productivity (except for Évora and Santa Maria Maior) and all of them presented negative technological change, thus highlighting the massive impact that the COVID-19 outbreak has had on the performance of these hospitals. An additional conclusion is that inefficient hospitals substantially increased all their resources in 2020 as compared to inefficient hospitals in 2019, suggesting that the inefficiency of these hospitals was not due to the lack of resources. Finally, irrespective of the model employed, the hospitals located in the Portuguese northern region were more resilient to the COVID-19 crisis. All in all, to become more resilient (even for future COVID-19 outbreaks), hospitals should undertake changes that are advantageous irrespective of the obstacles they face and that are even beneficial during normal times. A culture of cooperation within and across hospitals should also be cultivated, which allows exchanging resources where they can be used more efficiently.

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          Ranking the effectiveness of worldwide COVID-19 government interventions

          Assessing the effectiveness of non-pharmaceutical interventions (NPIs) to mitigate the spread of SARS-CoV-2 is critical to inform future preparedness response plans. Here we quantify the impact of 6,068 hierarchically coded NPIs implemented in 79 territories on the effective reproduction number, Rt, of COVID-19. We propose a modelling approach that combines four computational techniques merging statistical, inference and artificial intelligence tools. We validate our findings with two external datasets recording 42,151 additional NPIs from 226 countries. Our results indicate that a suitable combination of NPIs is necessary to curb the spread of the virus. Less disruptive and costly NPIs can be as effective as more intrusive, drastic, ones (for example, a national lockdown). Using country-specific 'what-if' scenarios, we assess how the effectiveness of NPIs depends on the local context such as timing of their adoption, opening the way for forecasting the effectiveness of future interventions.
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            A Procedure for Ranking Efficient Units in Data Envelopment Analysis

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              Emerging understandings of 2019-nCoV

              The Lancet (2020)
              “There is an emergency in China, but it has not yet become a global health emergency...WHO is following this outbreak every minute of every day”, said Dr Tedros Ghebreyesus, Director-General of WHO, on Jan 23. A novel coronavirus (2019-nCoV) outbreak is emerging, but it is not yet a Public Health Emergency of International Concern (PHEIC). As we went to press, more than 500 cases have been confirmed in China, as well as in Japan, South Korea, Thailand, and the US. The virus can cause a severe respiratory illness, like SARS and MERS, and human-to-human transmission has been confirmed. These characteristics are driving China's urgent public health actions, as well as international concern. But much remains unknown. The pieces of the puzzle that is 2019-nCoV are only now beginning to come together. Today, we publish the first clinical data from individuals confirmed to be infected with 2019-nCoV from Wuhan, China. Chaolin Huang and colleagues provide comprehensive findings for the first 41 laboratory-confirmed cases. 27 of these 41 cases had direct exposure to the Wuhan seafood market that is thought to be the initial site of infection from an animal source. All had viral pneumonia. The severity of illness is concerning: almost a third of patients developed acute respiratory distress syndrome requiring intensive care; six patients died; five had acute cardiac injury; and four required ventilation. Separately, Jasper Fuk-Woo Chan and colleagues report clinical and microbiological data from a family of six people who had travelled to Wuhan and later presented with pneumonia to Shenzhen Hospital in Guangdong province. Five were identified as infected with 2019-nCoV. Notably, none had been to the Wuhan market, but two had visited a Wuhan hospital. The authors suggest these findings confirm human-to-human transmission. Together, these Articles provide an important initial picture of the clinical spectrum and transmission of this new disease. In an accompanying Comment, Chen Wang, George Gao, and colleagues describe the early sharing of clinical data from the outbreak and emphasise the urgent need for more information about pathogenesis and viral transmission, as well as the pressing need to develop best supportive care and a vaccine. They also caution against overstating the mortality risk, as early reported case-fatality rates may be high due to bias towards detecting severe cases. As David Heymann reflects in another accompanying Comment, publication of these Articles provides peer-reviewed information urgently needed to refine the risk assessment and response, which are happening in real time. China has quickly isolated and sequenced the virus and shared these data internationally. The lessons from the SARS epidemic—where China was insufficiently prepared to implement infection control practices—have been successfully learned. By most accounts, Chinese authorities are meeting international standards and isolating suspected cases and contacts, developing diagnostic and treatment procedures, and implementing public education campaigns. Dr Tedros has praised China for its transparency, data sharing, and quick response. Likewise, WHO has reacted fast and diligently. Despite massive attention and conjecture about the level of threat posed by 2019-nCoV, and whether WHO should declare a PHEIC, the agency's emergency committee has not bowed to pressure to take such a decision until necessary. We commend WHO for its resilience. There are still many gaps in our understanding. The early experiences of these patients and the response to their symptoms before cases were reported remain undocumented. The exposure and possible infection of health workers remain extremely worrying. We will not know for some time the consequences of the quarantine imposed in Wuhan on Jan 23, 2020. Chinese public health authorities are under enormous pressure to make difficult decisions with an incomplete, and rapidly changing, understanding of the epidemic. The shutdowns may seem a drastic step—whether they represent an effective control measure deserves careful investigation and much will likely depend on maintaining trust between authorities and the local population. News media that worsen fears by reporting a “killer virus“ only harm efforts to implement a succesful and safe infection control strategy. Openness and sharing of data are paramount. There are enormous demands for rapid access to information about this new virus, the patients and communities affected, and the response. But equally crucial is the need to ensure that those data are reliable, accurate, and independently scrutinised. As for all public health emergencies, we will be making all related Lancet content fully and freely available. © 2020 Reuters/Aly Song 2020 Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
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                Author and article information

                Journal
                Socioecon Plann Sci
                Socioecon Plann Sci
                Socio-Economic Planning Sciences
                Elsevier Ltd.
                0038-0121
                0038-0121
                31 July 2022
                31 July 2022
                : 101387
                Affiliations
                [a ]Polytechnic of Coimbra, Coimbra Business School Research Centre | ISCAC Quinta Agrícola, Bencanta, 3040-316, Coimbra, Portugal
                [b ]INESC Coimbra – DEEC, University of Coimbra, Polo 2, 3030-290, Coimbra, Portugal
                [c ]Univ Coimbra, CeBER, Faculty of Economics, Av Dias da Silva 165, 3004-512, Coimbra, Portugal
                Author notes
                []Corresponding author. Polytechnic of Coimbra, Coimbra Business School Research Centre | ISCAC Quinta Agrícola, Bencanta, 3040-316, Coimbra, Portugal.
                Article
                S0038-0121(22)00182-3 101387
                10.1016/j.seps.2022.101387
                9339160
                35937707
                366843ca-2069-4ea6-87e5-c8ba976088f9
                © 2022 Elsevier Ltd. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 14 April 2021
                : 8 April 2022
                : 5 July 2022
                Categories
                Article

                dea,multicriteria decision analysis,covid-19,productivity,uncertainty

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