Large-scale infectious disease testing programs have little consideration for equity: findings from a scoping review

Ost, Katarina; Duquesne, Louise; Duguay, Claudia; Traverson, Lola; Mathevet, Isadora; Ridde, Valéry; Zinszer, Kate

doi:10.1016/j.jclinepi.2021.11.030

Cited by 13 publications

(4 citation statements)

References 32 publications

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“…This requires more financial resources targeted at health promotion and community health approaches. Still, more staff are trained on the operationalization of principles as soon as interventions are formulated [ 7 , 8 ]. Tools exist, including in French, to support these approaches [ 27 ] and studies have uncovered the factors on which action could be taken to reduce vaccine inequalities related to COVID-19 [ 28 ].…”

Section: Discussionmentioning

confidence: 99%

“…In France, as elsewhere in the world, considering the inverse care law when planning public health interventions is neither obvious nor a reflex. Reviews show that people planning infectious disease interventions need to be more explicitly concerned about equity issues [ 7 , 8 ]. These challenges were identified in Paris for the same follow-up and the organization of SARS-CoV-2 tests organized by the hospital network [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

COVID-19 vaccination at a hospital in Paris: Spatial analyses and inverse equity hypothesis

Ridde,

André,

Bouchaud

et al. 2024

Public Health in Practice

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

COVID-19 vaccination at a hospital in Paris: Spatial analyses and inverse equity hypothesis

Ridde,

André,

Bouchaud

et al. 2024

Public Health in Practice

Self Cite

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“…A timely analysis of the utilization and distribution of diagnostics during the COVID-19 pandemic, along with a thorough examination of the key factors influencing disparities in the usage, is a critical pathway to promoting equitable access to diagnostics and addressing future pandemic [12]. Here are the key questions: when the next pandemic breaks out, will it be possible to promptly develop and scale up the production of reliable, affordable diagnostics to cover the countries in need?…”

Section: Introductionmentioning

confidence: 99%

Factors associated with the utilization of diagnostic tools among countries with different income levels during the COVID-19 pandemic

Zhou,

Feng,

et al. 2023

glob health res policy

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Background Disparities in the utilization of essential medical products are a key factor contributing to inequality in health outcomes. We aimed to analyze the trends and influencing factors in using Coronavirus disease 2019 (COVID-19) diagnostic tools and disparities in countries with different income levels. Methods We conducted a cross-sectional study using open and publicly available data sources. Data were mainly collected from the Foundation for Innovative New Diagnostics, "Our World in Data," and the Global Burden of Disease databases. Negative binomial regression model and generalized linear mixed model were employed to investigate into five sets of factors associated with the usage of diagnostics: severity of COVID-19, socioeconomic status, health status, medical service capacity, and rigidity of response. Dominance analysis was utilized to compare the relative importance of these factors. The Blinder–Oaxaca decomposition was used to decompose the difference in the usage of diagnostics between countries. Results The total COVID-19 testing rate ranged from 5.13 to 22,386.63 per 1000 people from March 2020 to October 2022 and the monthly testing rate declined dramatically from January 2022 to October 2022 (52.37/1000 vs 5.91/1000).. The total testing rate was primarily associated with socioeconomic status (37.84%), with every 1 standard deviation (SD) increase in Gross Domestic Product per capita and the proportion of people aged ≥ 70, the total testing rate increased by 88% and 31%. And so is the medical service capacity (33.66%), with every 1 SD increase in health workforce density, the number increased by 38%. The monthly testing rate was primarily associated with socioeconomic status (34.72%) and medical service capacity (28.67%), and the severity of COVID-19 (21.09%). The average difference in the total testing rates between high-income and low-income countries was 2726.59 per 1000 people, and 2493.43 (91.45%) of the differences could be explained through the five sets of factors. Conclusions Redoubling the efforts, such as local manufacturing, regulatory reliance, and strengthening the community health workforce and laboratory capacity in low- and middle-income countries (LMICs) cannot be more significant for ensuring sustainable and equitable access to diagnostic tools during pandemic.

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“…4 Yet, the COVID-19 pandemic exposed the existence of brutal health disparities and their associated structural components, both among groups in different countries and within individual regions and nations. These inequities are evident at every level, from testing interventions 8 and health data documentation 9 to disease outcomes 10,11 and vaccine availability. 12 Moreover, policy interventions designed to mitigate COVID-19 transmission have themselves exacerbated inequities.…”

mentioning

confidence: 99%

Breaking down the barriers to health equity

Hojat

2022

Therapeutic Advances in Infection

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Large-scale infectious disease testing programs have little consideration for equity: findings from a scoping review

Cited by 13 publications

References 32 publications

COVID-19 vaccination at a hospital in Paris: Spatial analyses and inverse equity hypothesis

COVID-19 vaccination at a hospital in Paris: Spatial analyses and inverse equity hypothesis

Factors associated with the utilization of diagnostic tools among countries with different income levels during the COVID-19 pandemic

Breaking down the barriers to health equity

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