What role can health policy and systems research play in supporting responses to COVID-19 that strengthen socially just health systems?

Gilson, Lucy; Marchal, Bruno; Ayepong, Irene; Barasa, Edwine; Dossou, Jean‐Paul; George, Asha; Guinaran, Ryan C.; Maceira, Daniel; Molyneux, Sassy; Prashanth, N S; Schneider, Helen; Shawar, Yusra Ribhi; Shiffman, Jeremy; Sheikh, Kabir; Spicer, Neil; Belle, Sara Van; Whyle, Eleanor

doi:10.1093/heapol/czaa112

Cited by 43 publications

(52 citation statements)

References 10 publications

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“…Unfortunately, the viability of worker protections varies widely across the globe. LMICs, and even more well resourced nations at times, may lack sufficient sanitizing supplies, PPE, and other administrative or engineering protections in health care facilities, and likely many workplaces, 51 and broader policies protecting workers with a holistic perspective are often quite weak 52 …”

Section: Introductionmentioning

confidence: 99%

COVID‐19 as an occupational disease

Carlsten

Gulati

Hines

et al. 2021

American J Industrial Med

115

155

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The impact of coronavirus disease 2019 (COVID‐19) caused by the severe acute respiratory syndrome coronavirus 2 permeates all aspects of society worldwide. Initial medical reports and media coverage have increased awareness of the risk imposed on healthcare workers in particular, during this pandemic. However, the health implications of COVID‐19 for the global workforce are multifaceted and complex, warranting careful reflection and consideration to mitigate the adverse effects on workers worldwide. Accordingly, our review offers a framework for considering this topic, highlighting key issues, with the aim to prompt and inform action, including research, to minimize the occupational hazards imposed by this ongoing challenge. We address respiratory disease as a primary concern, while recognizing the multisystem spectrum of COVID‐19‐related disease and how clinical aspects are interwoven with broader socioeconomic forces.

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Section: Introductionmentioning

confidence: 99%

COVID‐19 as an occupational disease

Carlsten

Gulati

Hines

et al. 2021

American J Industrial Med

115

155

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show abstract

“…This outbreak looks set to be the worst infectious disease in terms of infection and mortality rates. All over the world, people, patients, health service providers and administrators, and policymakers are dealing with high levels of uncertainties and various challenges to limit the spread of this virus and to protect the functioning of health systems ( Gilson et al. , 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Big data analytics and COVID-19: investigating the relationship between government policies and cases in Poland, Turkey and South Korea

Sözen

Sarıyer

Ataman

2021

Health Policy and Planning

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We used big data analytics for exploring the relationship between government response policies, human mobility trends and numbers of coronavirus disease 2019 (COVID-19) cases comparatively in Poland, Turkey and South Korea. We collected daily mobility data of retail and recreation, grocery and pharmacy, parks, transit stations, workplaces, and residential areas. For quantifying the actions taken by governments and making a fairness comparison between these countries, we used stringency index values measured with the ‘Oxford COVID-19 government response tracker’. For the Turkey case, we also developed a model by implementing the multilayer perceptron algorithm for predicting numbers of cases based on the mobility data. We finally created scenarios based on the descriptive statistics of the mobility data of these countries and generated predictions on the numbers of cases by using the developed model. Based on the descriptive analysis, we pointed out that while Poland and Turkey had relatively closer values and distributions on the study variables, South Korea had more stable data compared to Poland and Turkey. We mainly showed that while the stringency index of the current day was associated with mobility data of the same day, the current day’s mobility was associated with the numbers of cases 1 month later. By obtaining 89.3% prediction accuracy, we also concluded that the use of mobility data and implementation of big data analytics technique may enable decision-making in managing uncertain environments created by outbreak situations. We finally proposed implications for policymakers for deciding on the targeted levels of mobility to maintain numbers of cases in a manageable range based on the results of created scenarios.

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“…[9,18] The need to integrate social sciences, health staff, and system resilience into the pandemic response was also identi ed as one of the priorities. [19,20] How different hospitals in different countries respond during this pandemic in their preparation and implementation is essential to study and understand [21]. Regarding public health measures, it is vital to understand how social were (or not) taken into account in planning COVID-19 interventions.…”

Section: Introductionmentioning

confidence: 99%

Learning from Public Health and Hospital Resilience to the SARS-CoV-2 Pandemic: Protocol for a Multiple Case Study (Brazil, Canada, China, France, Japan, and Mali).

Ridde

Gautier

Dagenais

et al. 2021

Preprint

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Background: All prevention efforts currently being implemented for COVID-19 are aimed at reducing the burden on strained health systems and human resources. There has been little research conducted to understand how SARS-CoV-2 has affected healthcare systems and professionals in terms of their work. Finding effective ways to share the knowledge and insight between countries, including lessons learned, is paramount to the international containment and management of the COVID-19 pandemic. The aim of this project is to compare the pandemic response to COVID-19 in Brazil, Canada, China, France, Japan, and Mali. This comparison will be used to identify strengths and weaknesses in the response, including challenges for health professionals and health systems.Methods: We will use a multiple case study approach with multiple levels of nested analysis. We chose these countries as they represent different continents and different stages of the pandemic. We will focus on several major hospitals and two public health interventions (contact tracing and testing). It is a multidisciplinary research approach that will use qualitative data through observations, document analysis, and interviews, as well as quantitative data based on disease surveillance data and other publicly available data. Given that the methodological approaches of the project are largely qualitative, the ethical risks are minimal. For the quantitative component, the data being used are publicly available.Discussion: We will deliver lessons learned based on a rigorous process and on strong evidence to enable operational-level insight for national and international stakeholders.

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What role can health policy and systems research play in supporting responses to COVID-19 that strengthen socially just health systems?

Cited by 43 publications

References 10 publications

COVID‐19 as an occupational disease

COVID‐19 as an occupational disease

Big data analytics and COVID-19: investigating the relationship between government policies and cases in Poland, Turkey and South Korea

Learning from Public Health and Hospital Resilience to the SARS-CoV-2 Pandemic: Protocol for a Multiple Case Study (Brazil, Canada, China, France, Japan, and Mali).

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