Evidence map›Paper›PMID 38011903›Full record

ArticleEuropean journal of public health2024

Sociodemographic characteristics and COVID-19 testing rates: spatiotemporal patterns and impact of test accessibility in Sweden.

Beatrice Kennedy, Georgios Varotsis, Ulf Hammar, Diem Nguyen, Germán D Carrasquilla, Vera van Zoest, Robert S Kristiansson, Hugo Fitipaldi, Koen F Dekkers, Meena Daivadanam and 3 more

Abstract read
In one paragraph

Article in European journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

13 authors.

Beatrice KennedyDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-0066-4814
Georgios VarotsisDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Ulf HammarDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Diem NguyenDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Germán D CarrasquillaNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Vera van ZoestDepartment of Information Technology, Division of Systems and Control, Uppsala University, Uppsala, Sweden.
Robert S KristianssonDepartment of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.
Hugo FitipaldiDiabetic Complications Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Lund, Sweden.ORCID 0000-0001-5352-2134
Koen F DekkersDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Meena DaivadanamGlobal Health and Migration Unit, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Mats MartinellDepartment of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.
Jonas BjörkDivision of Occupational and Environmental Medicine, Lund University, Lund, Sweden.ORCID 0000-0003-1883-2000
Tove FallDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.

Funding

Primary Health and Care internalPrimary Health and Care internal competitive funding at Region Uppsala and from Vinnova 2020-03173Region Uppsala 2020-03173Swedish National Infrastructure for ComputingSwedish Research Council 2022-06725Uppsala Multidisciplinary Center for Advanced Computational ScienceVinnova 2021-02648
6 · The paper itself

Abstract

backgroundDiagnostic testing is essential for disease surveillance and test-trace-isolate efforts. We aimed to investigate if residential area sociodemographic characteristics and test accessibility were associated with Coronavirus Disease 2019 (COVID-19) testing rates.

methodsWe included 426 224 patient-initiated COVID-19 polymerase chain reaction tests from Uppsala County in Sweden from 24 June 2020 to 9 February 2022. Using Poisson regression analyses, we investigated if postal code area Care Need Index (CNI; median 1.0, IQR 0.8-1.4), a composite measure of sociodemographic factors used in Sweden to allocate primary healthcare resources, was associated with COVID-19 daily testing rates after adjustments for community transmission. We assessed if the distance to testing station influenced testing, and performed a difference-in-difference-analysis of a new testing station targeting a disadvantaged neighbourhood.

resultsWe observed that CNI, i.e. primary healthcare need, was negatively associated with COVID-19 testing rates in inhabitants 5-69 years. More pronounced differences were noted across younger age groups and in Uppsala City, with test rate ratios in children (5-14 years) ranging from 0.56 (95% CI 0.47-0.67) to 0.87 (95% CI 0.80-0.93) across three pandemic waves. Longer distance to the nearest testing station was linked to lower testing rates, e.g. every additional 10 km was associated with a 10-18% decrease in inhabitants 15-29 years in Uppsala County. The opening of the targeted testing station was associated with increased testing, including twice as high testing rates in individuals aged 70-105, supporting an intervention effect.

conclusionsEnsuring accessible testing across all residential areas constitutes a promising tool to decrease inequalities in testing.

Indexed as

COVID-19ChildCOVID-19 TestingHumansPandemicsSARS-CoV-2Sweden

Identifiers

PMID38011903
PMCPMC10843959

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Registered trials

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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.