Learning from the COVID-19 pandemic: Concepts for good decision-making

Lambarri, Mauricio Canals

doi:10.4067/s0034-98872020000300418

Cited by 3 publications

(1 citation statement)

References 5 publications

(9 reference statements)

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“…When examining data utilization for COVID-19 decision making, prior research has been on clinical decision making in treating patients, either in general 24–28 or for specific conditions and populations. 29–32 Literature has also focused on strategies, concepts, and principles to assist with clinical decision making 33–39 and reflection for future clinical directions in treating COVID-19. 40–43…”

Section: Introductionmentioning

confidence: 99%

Understanding Health Care Administrators’ Data and Information Needs for Decision Making during the COVID-19 Pandemic: A Qualitative Study at an Academic Health System

Guerrier

McDonnell

Magoč

et al. 2022

MDM Policy & Practice

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Objective. The COVID-19 pandemic created an unprecedented strain on the health care system, and administrators had to make many critical decisions to respond appropriately. This study sought to understand how health care administrators used data and information for decision making during the first 6 mo of the COVID-19 pandemic. Materials and Methods. We conducted semistructured interviews with administrators across University of Florida (UF) Health. We performed an inductive thematic analysis of the transcripts. Results. Four themes emerged from the interviews: 1) common types of health systems or hospital operations data; 2) public health and other external data sources; 3) data interaction, integration, and exchange; and 4) novelty and evolution in data, information, or tools used over time. Participants illustrated the organizational, public health, and regional information they considered essential (e.g., hospital census, community positivity rate, etc.). Participants named specific challenges they faced due to data quality and timeliness. Participants elaborated on the necessity of data integration, validation, and coordination across different boundaries (e.g., different hospital systems in the same metro areas, public health agencies at the local, state, and federal level, etc.). Participants indicated that even within the first 6 mo of the COVID-19 pandemic, the data and tools used for making critical decisions changed. Discussion. While existing medical informatics infrastructure can facilitate decision making in pandemic response, data may not always be readily available in a usable format. Interoperable infrastructure and data standardization across multiple health systems would help provide more reliable and timely information for decision making. Conclusion. Our findings contribute to future discussions of improving data infrastructure and developing harmonized data standards needed to facilitate critical decisions at multiple health care system levels. Highlights The study revealed common health systems or hospital operations data and information used in decision making during the first 6 mo of the COVID-19 pandemic. Participants described commonly used internal data sources, such as resource and financial reports and dashboards, and external data sources, such as federal, state, and local public health data. Participants described challenges including poor timeliness and limited local relevance of external data as well as poor integration of data sources within and across organizational boundaries. Results suggest the need for continued integration and standardization of health data to support health care administrative decision making during pandemics or other emergencies.

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Section: Introductionmentioning

confidence: 99%

Understanding Health Care Administrators’ Data and Information Needs for Decision Making during the COVID-19 Pandemic: A Qualitative Study at an Academic Health System

Guerrier

McDonnell

Magoč

et al. 2022

MDM Policy & Practice

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How accurate are radiography and computed tomography in the diagnosis of COVID-19?—A Bayesian approach

Canals

2022

Acta Radiologica Open

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Background The role of radiology in patients with clinical suspicion of COVID-19 is evolving with scientific evidence, but there are differences in opinion on when and how the technique should be used for clinical diagnosis. Purpose To estimate the pre-test and post-test probability that a patient has COVID-19 in the event of a positive and/or negative result from chest X-ray and chest computed tomography (CT) radiological studies, comparing with those of real time polymerase chain reaction (RT-PCR) tests. Methods The literature on the sensitivity and specificity of the chest X-ray, chest CT, and RT-PCR was reviewed. Based on these reported data, the likelihood ratios (LR) were estimated and the pre-test probabilities were related to the post-test probabilities after positive or negative results. Results The chest X-ray has only a confirmatory value in cases of high suspicion. Chest CT analyses showed that when it is used as a general study, it has almost confirmatory value under high clinical suspicion. A chest CT classified with CO-RADS ≥ 4 has almost a diagnostic certainty of COVID-19 even with moderate or low clinical presumptions, and the CO-RADS 5 classification is almost pathognomonic before any clinical presumption. To rule out COVID-19 completely is only possible in very low clinical assumptions with negative RT-PCR and/or CT. Conclusions Chest X-ray and especially CT are fast studies that have the capacity to report high probability of COVID-19, being a real contribution to the concept of “probable case” and allowing support to be installed in an early and timely manner.

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Multistakeholder Participation, Collaboration, and Networking in Disaster Risk Reduction and Pandemic Management: Insights and Future Policy Framework

Panneer,

Dutta,

Bhat

et al. 2024

2024 - In Honor of Shanti K. Khinduka

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The natural and manmade disasters impact a society with loss of assets and human lives. Disasters leavepeople in vulnerable conditions and an overall economic slowdown is observed. The impact of disasters is highly complex and multidimensional in nature. It becomes imperative to handle the complexity of issues with comprehensive approach. Managing disasters effectively is one of the important challenges any government faces when it tries to be prepared with appropriate mitigation, rescue, and relief strategies. The unexpected nature and urgency related to Disaster Risk Reduction makes it important and relevant to involvemultistakeholders. This will help to bring down the severity and impact of the disaster on human lives and losses. Disaster Risk Reductionrequires meticulous planning and sharing of the responsibility among multistakeholders through networking so as to bring down the severity and minimize the negative impact of a disaster. Many research studies have suggested the multistakeholder approach in addressing the disasters. There are several gaps such as inefficiency of vertical management to deal the issues, involvement of multiple stakeholders, and lack of local public supportfor disaster. This paper, considering the case of COVID-19 as a pandemic and disaster, discusses the importance of multistakeholder participation. The paper presents an extensive review of the papers on the relevance ofparticipation of multistakeholdersin Disaster Risk Reduction and explores the scope and challenges involved and suggests policies to address the disasters, which utilizes Multistakeholder Participation.

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Learning from the COVID-19 pandemic: Concepts for good decision-making

Cited by 3 publications

References 5 publications

Understanding Health Care Administrators’ Data and Information Needs for Decision Making during the COVID-19 Pandemic: A Qualitative Study at an Academic Health System

Understanding Health Care Administrators’ Data and Information Needs for Decision Making during the COVID-19 Pandemic: A Qualitative Study at an Academic Health System

How accurate are radiography and computed tomography in the diagnosis of COVID-19?—A Bayesian approach

Multistakeholder Participation, Collaboration, and Networking in Disaster Risk Reduction and Pandemic Management: Insights and Future Policy Framework

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