Evidence map›Paper›PMID 39295092›Full record

ArticleHealth services research2024

Health system resilience during the COVID-19 pandemic: A comparative analysis of disruptions in care from 32 countries.

Jorge R Ledesma, Stavroula A Chrysanthopoulou, Mark N Lurie, Jennifer B Nuzzo, Irene Papanicolas

Abstract readComparative Study
In one paragraph

Article in Health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

5 authors.

Jorge R LedesmaDepartment of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA.ORCID 0009-0009-2082-2486
Stavroula A ChrysanthopoulouDepartment of Biostatistics, Brown University School of Public Health, Providence, Rhode Island, USA.
Mark N LurieDepartment of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA.
Jennifer B NuzzoDepartment of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA.
Irene PapanicolasDepartment of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo quantify disruptions in hospitalization and ambulatory care throughout the coronavirus disease 2019 (COVID-19) pandemic for 32 countries, and examine associations of health system characteristics and COVID-19 response strategies on disruptions. DATA SOURCES: We utilized aggregated inpatient hospitalization and surgical procedure data from the Organization for Economic Co-operation and Development Health Database from 2010 to 2021. Covariate data were extracted from the Organization for Economic Co-operation and Development Health Database, World Health Organization, and Oxford COVID-19 Government Response Tracker. STUDY

designThis is a descriptive study using time-series analyses to quantify the annual effect of the COVID-19 pandemic on non-COVID-19 hospitalizations for 20 diagnostic categories and 15 surgical procedures. We compared expected hospitalizations had the pandemic never occurred in 2020-2021, estimated using autoregressive integrated moving average modeling with data from 2010 to 2019, with observed hospitalizations. Observed-to-expected ratios and missed hospitalizations were computed as measures of COVID-19 impact. Mixed linear models were employed to examine associations between hospitalization observed-to-expected ratios and covariates. PRINCIPAL

findingsThe COVID-19 pandemic was associated with 16,300,000 (95% uncertainty interval 14,700,000-17,900,000; 18.0% [16.5%-19.4%]) missed hospitalizations in 2020. Diseases of the respiratory (-2,030,000 [-2,300,000 to -1,780,000]), circulatory (-1,680,000 [-1,960,000 to -1,410,000]), and musculoskeletal (-1,480,000 [-1,720,000 to -1,260,000]) systems contributed most to the declines. In 2021, there were an additional 14,700,000 (95% uncertainty interval 13,100,000-16,400,000; 16.3% [14.9%-17.9%]) missed hospitalizations. Total healthcare workers per capita (β = 1.02 [95% CI 1.00, 1.04]) and insurance coverage (β = 1.05 [1.02, 1.09]) were associated with fewer missed hospitalizations. Stringency index (β = 0.98 [0.98, 0.99]) and excess all-cause deaths (β = 0.98 [0.96, 0.99]) were associated with more missed hospitalizations.

conclusionsThere was marked cross-country variability in disruptions to hospitalizations and ambulatory care. Certain health system characteristics appeared to be more protective, such as insurance coverage, and number of inputs including healthcare workforce and beds. WHAT IS KNOWN ON THIS TOPIC: Substantial disruptions in health services associated with the coronavirus disease 2019 pandemic have placed a renewed interest in health system resilience. While there is a growing body of evidence documenting disruptions in services, there are limited comparative assessments across diverse countries with different health system designs, preparedness levels, and public health responses. Learning and adapting from health system-specific gaps and challenges highlighted by the pandemic will be critical for improving resilience. WHAT THIS STUDY ADDS: All countries experienced disruptions to hospitalizations and surgical procedures with a combined total of 30 million missed hospitalizations and 4 million missed surgical procedures in 2020-2021, but there was marked cross-country heterogeneity in disruptions. Countries with greater baseline healthcare workers, insurance coverage, and hospital beds had disproportionately lower disruptions in care. National health planning discussions may need to balance health system resiliency and efficiency to avert preventable morbidity and mortality.

Indexed as

COVID-19HospitalizationSARS-CoV-2Ambulatory CareDelivery of Health CareHumansPandemicscomparative analysisCOVID‐19 pandemicdisruptionsessential health serviceshealth system resiliencehospitalizations

Identifiers

PMID39295092
PMCPMC11622287

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LicenceCC BY
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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.