Considering Social Inequalities in Health in Large-Scale Testing for Covid-19 in Montreal: A Qualitative Case Study

Gagnon-Dufresne, Marie-Catherine; Gautier, Lara; Beaujoin, Camille; Savard, Ashley; Mikanagu, Rachel; Cloos, Patrick; Ridde, Valéry; Zinszer, Kate

doi:10.2139/ssrn.3919128

Cited by 1 publication

(1 citation statement)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Indeed, there is evidence that low and middle-income countries face more barriers to testing such as a lack of scientific and medical infrastructure, laboratory equipment, testing instruments and testing kits, a lack of trained professionals to perform testing, and difficulties complying with biosafety standards in laboratories [29]. High income countries, such as Canada and France, had the clinical and public health infrastructures necessary to increase testing capacity and accessibility more rapidly, and to develop community-based approaches to testing [30,31].…”

Section: Discussionmentioning

confidence: 99%

A Descriptive Comparison of Mass Testing During the COVID-19 Pandemic in Montreal, Paris, Bamako, and Recife

Lamothe¹,

Gabet²,

Richard

et al. 2022

Int J Public Health

Self Cite

View full text Add to dashboard Cite

Objective: The aim of this descriptive article was to compare mass testing for SARS-CoV-2 during the first wave of the COVID-19 pandemic in Montreal, Canada; Bamako, Mali; Paris, France; and Recife, Brazil.Methods: Data was collected through interviews with key informants involved in the testing response and a review of the grey literature. The TIDieR-PHP checklist was then used to provide the basis of the intervention descriptions and to compare the data between cities.Results: Descriptive comparisons revealed that the type of test, the testing process, and materials used were similar between the cities during the first wave of the pandemic. In addition, all cities experienced similar material and personnel resource shortages, directly affecting testing accessibility and capacity. The main differences were related to testing capacity and implementation timelines, which were dependent on the state of the health care systems, governance, and access to resources.Conclusion: Results of this study highlight the similarities and differences in testing between the cities and demonstrate the importance of comprehensive intervention descriptions to highlight lessons learned, increase knowledge sharing, and inform policy decisions.

show abstract

Section: Discussionmentioning

confidence: 99%