Evidence map›Paper›PMID 35422030›Full record

ArticleBMC public health2022

Considering social inequalities in health in large-scale testing for COVID-19 in Montréal: a qualitative case study.

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

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Challenges and Limitations in Distributional Cost-Effectiveness Analysis: A Systematic Literature Review.International journal of environmental research and public health · 2022
    Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Marie-Catherine Gagnon-DufresneDepartment of social and preventive medicine, School of Public Health, University of Montréal, 7101 Park Avenue, Montréal, Québec, H3N 1X9, Canada. marie-catherine.gagnon-dufresne@umontreal.ca.
Lara GautierCentre de recherche en santé publique (CReSP), Montréal, Québec, Canada.
Camille BeaujoinDepartment of social and preventive medicine, School of Public Health, University of Montréal, 7101 Park Avenue, Montréal, Québec, H3N 1X9, Canada.
Ashley Savard LamotheDepartment of social and preventive medicine, School of Public Health, University of Montréal, 7101 Park Avenue, Montréal, Québec, H3N 1X9, Canada.
Rachel MikanaguDepartment of social and preventive medicine, School of Public Health, University of Montréal, 7101 Park Avenue, Montréal, Québec, H3N 1X9, Canada.
Patrick CloosDepartment of social and preventive medicine, School of Public Health, University of Montréal, 7101 Park Avenue, Montréal, Québec, H3N 1X9, Canada.
Valéry RiddeCentre Population et Développement, Institut de recherche pour le développement (IRD), Université de Paris, Paris, France.
Kate ZinszerDepartment of social and preventive medicine, School of Public Health, University of Montréal, 7101 Park Avenue, Montréal, Québec, H3N 1X9, Canada.
Université de Montréal · CACentre Population et Développement · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence continues to demonstrate that certain marginalised populations are disproportionately affected by COVID-19. While many studies document the impacts of COVID-19 on social inequalities in health, none has examined how public health responses to the pandemic have unfolded to address these inequities in Canada. The purpose of our study was to assess how social inequalities in health were considered in the design and planning of large-scale COVID-19 testing programs in Montréal (Québec, Canada).

methodsPart of the multicountry study HoSPiCOVID, this article reports on a qualitative case study of large-scale testing for COVID-19 in Montréal. We conducted semi-structured interviews with 19 stakeholders involved in planning large-scale testing or working with vulnerable populations during the pandemic. We developed interview guides and a codebook using existing literature on policy design and planning, and analysed data deductively and inductively using thematic analysis in NVivo.

resultsOur findings suggest that large-scale COVID-19 testing in Montréal did not initially consider social inequalities in health in its design and planning phases. Considering the sense of urgency brought by the pandemic, participants noted the challenges linked to the uptake of an intersectoral approach and of a unified vision of social inequalities in health. However, adaptations were gradually made to large-scale testing to improve its accessibility, acceptability, and availability. Actors from the community sector, among others, played an important role in supporting the health sector to address the needs of specific subgroups of the population.

conclusionsThese findings contribute to the reflections on the lessons learned from COVID-19, highlighting that public health programs must tackle structural barriers to accessing healthcare services during health crises. This will be necessary to ensure that pandemic preparedness and response, including large-scale testing, do not further increase social inequalities in health.

Indexed as

COVID-19COVID-19 TestingHealth ServicesHumansQualitative ResearchSocioeconomic FactorsCanadaCOVID-19EquityEvaluationHealth systemsLarge-scale testingSARS-CoV-2Social inequalities in health

Identifiers

PMID35422030
PMCPMC9008388
OpenAlexW4225815748

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.