What the Coronavirus Disease 2019 (COVID-19) Pandemic Has Reinforced: The Need for Accurate Data

Arvisais-Anhalt, Simone; Lehmann, Christoph U.; Park, Jason; Araj, Ellen; Holcomb, Michael; Jamieson, Andrew; McDonald, Samuel A.; Medford, Richard J; Perl, Trish M.; Toomay, Seth; Hughes, Amy E.; McPheeters, Melissa L; Basit, Mujeeb

doi:10.1093/cid/ciaa1686

Cited by 27 publications

(27 citation statements)

References 7 publications

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“…On the other hand, close surveillance can raise public concerns because of the possible stigmatization, discrimination 52 and privacy issues 53 , 54 it can entail. The current crisis uncovered the weakness of disease surveillance in almost all countries characterized by weak public communication 53 , poor contact tracing 55 and incomplete and inaccurate data 56 . The question as to how to build a surveillance system that is robust, efficient, but also able to safeguard individuals from stigmatization, privacy breach, and information misuse remains open however 57 .…”

Section: Discussionmentioning

confidence: 99%

Health-seeking and diagnosis delay and its associated factors: a case study on COVID-19 infections in Shaanxi Province, China

Zheng

Kämpfen

Huang

2021

Sci Rep

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This time-to-event study examines social factors associated with health-seeking and diagnosis of 165 COVID-19 cases in response to the pandemic spread in Shaanxi Province, China. In particular, we investigate the differential access to healthcare in terms of delayed time from symptom onset to first medical visit and subsequently to diagnosis by factors such as sex, age, travel history, and type of healthcare utilization. We show that it takes more time for patients older than 60 (against those under 30) to seek healthcare after developing symptoms (+ 2.5 days, $$p<0.01$$ p < 0.01 ), surveillance on people with living or travel history to Wuhan helps shorten the time to the first doctor visit (− 0.8 days) and diagnosis (− 2.2 days, $$p<0.01$$ p < 0.01 ). A delay cut is associated with the adoption of intermediary and large hospitals rather than community-based care as primary care choices (− 1.6 days, $$p<0.1$$ p < 0.1 and − 2.2 days, $$p<0.05$$ p < 0.05 ). One unit increase of healthcare workers per 1000 people saves patients 0.5 days ($$p<0.1$$ p < 0.1 ) for diagnosis from the first doctor visit and 0.6 days ($$p<0.05$$ p < 0.05 ) in total. Our analysis of factors associated with the time delay for diagnosis may provide a better understanding of the health-seeking behaviors of patients and the diagnosis capacity of healthcare providers during the COVID-19 pandemic.

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Section: Discussionmentioning

confidence: 99%

Health-seeking and diagnosis delay and its associated factors: a case study on COVID-19 infections in Shaanxi Province, China

Zheng

Kämpfen

Huang

2021

Sci Rep

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“…As the world has struggled to respond to the COVID-19 pandemic, many jurisdictions have faced the challenges of effectively generating and leveraging accurate, timely data to support decision making, thus highlighting an increased need for robust public health data infrastructure at local, national and global levels (Foraker et al 2020). Challenges have included difficulty in aggregating local data up to the regional level, interoperability of multiple information systems (Arvisais-Anhalt et al 2021), an ecosystem mired by data silos (O'Reilly-Shah et al 2020) and inadequate data governance (Sittig and Singh 2020). Concurrently, the public desire for data and evidence-based policies to combat COVID-19 is strong (Schultz and Ward 2021), as is the demand for up-todate information on the pandemic, which is evidenced by the ubiquity of "COVID-19 dashboards" (Fareed et al 2021;Pietz et al 2020).…”

Section: Introductionmentioning

confidence: 99%

The Role of a Resilient Information Infrastructure in COVID-19 Vaccine Uptake in Ontario

Duchen¹,

Iskander²,

Chung³

et al. 2021

hcq

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The COVID-19 pandemic has highlighted the need for a robust and nimble public health data infrastructure. ICESa government-sponsored, independent, non-profit research institute in Ontario, Canada -functions as a key component of a resilient information infrastructure and an enabler of data co-production, contributing to Ontario's response to the COVID-19 pandemic as part of a learning health system. Linked data on the cumulative incidence of infection and vaccination at the neighbourhood level revealed disparate uptake between areas with low versus high risk of COVID-19. These data were leveraged by the government, service providers, media and the public to inform a more efficient and equitable vaccination strategy.

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“…Many organizations globally are facing similar challenges. [4][5][6][7][8] It was necessary to shift the workflows and data management for the COVID-19 response from traditional siloed information systems, clinical registries, and paper-based workflows to creating a real-time integrated digital data flow to manage COVID-19. The usual processes and structures of a large-scale digital transformation project, such as staff and consumer engagement during the planning of the project, extensive consultation, planning, and detailed workflow training were simply unachievable in the crisis conditions of the pandemic.…”

Section: Background and Significancementioning

confidence: 99%

Moving Faster than the COVID-19 Pandemic: The Rapid, Digital Transformation of a Public Health System

et al. 2021

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Background Queensland, Australia has been successful in containing the COVID-19 pandemic. Underpinning that response has been a highly effective virus containment strategy which relies on identification, isolation, and contact tracing of cases. The dramatic emergence of the COVID-19 pandemic rendered traditional paper-based systems for managing contact tracing no longer fit for purpose. A rapid digital transformation of the public health contact tracing system occurred to support this effort. Objectives The objectives of the digital transformation were to shift legacy systems (paper or standalone electronic systems) to a digitally enabled public health system, where data are centered around the consumer rather than isolated databases. The objective of this paper is to outline this case study and detail the lessons learnt to inform and give confidence to others contemplating digitization of public health systems in response to the COVID-19 pandemic. Methods This case study is set in Queensland, Australia. Universal health care is available. A multidisciplinary team was established consisting of clinical informaticians, developers, data strategists, and health information managers. An agile “pair-programming” approach was undertaken to application development and extensive change efforts were made to maximize adoption of the new digital workflows. Data governance and flows were changed to support rapid management of the pandemic. Results The digital coronavirus application (DCOVA) is a web-based application that securely captures information about people required to quarantine and creates a multiagency secure database to support a successful containment strategy. Conclusion Most of the literature surrounding digital transformation allows time for significant consultation, which was simply not possible under crisis conditions. Our observation is that staff was willing to adopt new digital systems because the reason for change (the COVID-19 pandemic) was clearly pressing. This case study highlights just how critical a unified purpose, is to successful, rapid digital transformation.

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What the Coronavirus Disease 2019 (COVID-19) Pandemic Has Reinforced: The Need for Accurate Data

Cited by 27 publications

References 7 publications

Health-seeking and diagnosis delay and its associated factors: a case study on COVID-19 infections in Shaanxi Province, China

Health-seeking and diagnosis delay and its associated factors: a case study on COVID-19 infections in Shaanxi Province, China

The Role of a Resilient Information Infrastructure in COVID-19 Vaccine Uptake in Ontario

Moving Faster than the COVID-19 Pandemic: The Rapid, Digital Transformation of a Public Health System

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