Evidence map›Paper›PMID 35793324›Full record

ArticlePloS one2022

The impact of the Covid-19 pandemic on the incidence of diseases and the provision of primary care: A registry-based study.

Steve Van den Bulck, Jonas Crèvecoeur, Bert Aertgeerts, Nicolas Delvaux, Thomas Neyens, Gijs Van Pottelbergh, Patrick Coursier, Bert Vaes

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.2field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

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  9. A general framework for developing computable clinical phenotype algorithms.Journal of the American Medical Informatics Association : JAMIA · 2024
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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

8 authors at 2 institutions in 1 country.

Steve Van den BulckDepartment of Public Health and Primary Care, Academic Center for General Practice, KU Leuven, Leuven, Belgium.ORCID 0000-0003-0744-3923
Jonas CrèvecoeurI-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium.
Bert AertgeertsDepartment of Public Health and Primary Care, Academic Center for General Practice, KU Leuven, Leuven, Belgium.
Nicolas DelvauxDepartment of Public Health and Primary Care, Academic Center for General Practice, KU Leuven, Leuven, Belgium.
Thomas NeyensI-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium.
Gijs Van PottelberghDepartment of Public Health and Primary Care, Academic Center for General Practice, KU Leuven, Leuven, Belgium.
Patrick CoursierDepartment of Public Health and Primary Care, Academic Center for General Practice, KU Leuven, Leuven, Belgium.
Bert VaesDepartment of Public Health and Primary Care, Academic Center for General Practice, KU Leuven, Leuven, Belgium.ORCID 0000-0001-5244-1930
KU Leuven · BEHasselt University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Covid-19 pandemic had a tremendous impact on healthcare but uncertainty remains about the extent to which primary care provision was affected. Therefore, this paper aims to assess the impact on primary care provision and the evolution of the incidence of disease during the first year of the Covid-19 pandemic in Flanders (Belgium).

methodsCare provision was defined as the number of new entries added to a patient's medical history. Pre-pandemic care provision (February 1, 2018-January 31, 2020) was compared with care provision during the pandemic (February 1, 2020-January 31, 2021). A large morbidity registry (Intego) was used. Regression models compared the effect of demographic characteristics on care provision and on acute and chronic diagnoses incidence both prior and during the pandemic.

resultsDuring the first year of the Covid-19 pandemic, overall care provision increased with 9.1% (95%CI 8.5%;9.6%). There was an increase in acute diagnoses of 5.1% (95%CI 4.2%;6.0%) and a decrease in the selected chronic diagnoses of 12.8% (95% CI 7.0%;18.4%). Obesity was an exception with an overall incidence increase. The pandemic led to strong fluctuations in care provision that were not the same for all types of care and all demographic groups in Flanders. Relative to other groups in the population, the pandemic caused a reduction in care provision for children aged 0-17 year and patients from a lower socio-economic situation.

conclusionThis paper strengthened the claim that Covid-19 should be considered as a syndemic instead of a pandemic. During the first Covid-19 year, overall care provision and the incidence of acute diagnoses increased, whereas chronic diseases' incidence decreased, except for obesity diagnoses which increased. More granular, care provision and chronic diseases' incidence decreased during the lockdowns, especially for people with a lower socio-economic status. After the lockdowns they both returned to baseline.

Indexed as

COVID-19Influenza A Virus, H1N1 SubtypeInfluenza, HumanChildCommunicable Disease ControlHumansIncidenceObesityPandemicsPrimary Health CareRegistries

Identifiers

PMID35793324
PMCPMC9258821
OpenAlexW4285743140

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.