Evidence map›Paper›PMID 35403073›Full record

ArticlePublic health in practice (Oxford, England)2022

Assessment of the impact of the COVID-19 pandemic on health services use.

Kimberly J Johnson, Charles W Goss, Jeannette Jackson Thompson, Anne M Trolard, Brett B Maricque, Victoria Anwuri, Rachel Cohen, Kate Donaldson, Elvin Geng

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
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  10. Excess deaths associated with COVID-19 by rurality and demographic factors in the United States.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2024
    Article
  11. Article
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  14. Observational
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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

9 authors.

Kimberly J JohnsonBrown School, Washington University in St. Louis, St. Louis, MO, 63130, USA.
Charles W GossDivision of Biostatistics, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Jeannette Jackson ThompsonHealth & Behavioral Risk Research Center, University of Missouri School of Medicine Dept. of Health Management & Informatics, Columbia, MO, 65211, USA.
Anne M TrolardInstitute for Public Health, Washington University in St. Louis, St. Louis, MO, 63130, USA.
Brett B MaricqueMcDonnell Genome Institute, Washington University in St. Louis School of Medicine, St. Louis, MO, 63110, USA.
Victoria AnwuriInstitute for Public Health, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Rachel CohenSt. Louis County Department of Public Health, St. Louis, MO, 63134, USA.
Kate DonaldsonSt. Louis County Department of Public Health, St. Louis, MO, 63134, USA.
Elvin GengDivision of Infectious Diseases, School of Medicine, Washington University in St. Louis, St. Louis, MO, 63110, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The coronavirus disease of 2019 (COVID-19) pandemic declared by the World Health Organization on March 11, 2020 impacted healthcare services with provider and patient cancellations, delays, and patient avoidance or delay of emergency department or urgent care. Limited data exist on the population proportion affected by delayed healthcare, which is important for future healthcare planning efforts. Our objective was to evaluate the impact of the COVID-19 pandemic on healthcare service cancellations or delays and delays/avoidance of emergency/urgent care overall and by population characteristics. Study design: This was a cross-sectional study. Methods: Our sample (n = 2314) was assembled through a phone survey from 8/12/2020-10/27/2020 among non-institutionalized St. Louis County, Missouri, USA residents ≥18 years. We asked about provider and patient-initiated cancellations or delays of appointments and pandemic-associated delays/avoidance of emergency/urgent care overall and by participant characteristics. We calculated weighted prevalence estimates by select resident characteristics. Results: Healthcare services cancellations or delays affected ∼54% (95% CI 50.6%-57.1%) of residents with dental (31.1%, 95% CI 28.1%-34.0%) and primary care (22.1%, 95% CI 19.5%-24.6%) being most common. The highest prevalences were among those who were White, ≥65 years old, female, in fair/poor health, who had health insurance, and who had ≥1 medical condition. Delayed or avoided emergency/urgent care impacted ∼23% (95% CI 19.9%-25.4%) of residents with a higher prevalence in females than males. Conclusions: Healthcare use disruptions impacted a substantial proportion of residents. Future healthcare planning efforts should consider these data to minimize potential morbidity and mortality from delayed care.

Indexed as

Covid-19EmergencyHealth services

Identifiers

PMID35403073
PMCPMC8979834

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.