Evidence map›Paper›PMID 39334045›Full record

Observational studyBMC health services research2024

COVID-19 inpatient care performance in the unified health system, São Paulo state, Brazil: an application of standardized mortality ratio for hospitals' comparisons : COVID-19 inpatient care performance in SUS, Brazil.

Marla Presa Raulino Schilling, Margareth Crisóstomo Portela, Mariana Vercesi de Albuquerque, Mônica Martins

Abstract readObservational Study
In one paragraph

Observational study in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Marla Presa Raulino SchillingDepartment of Health Administration and Planning, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, INOVA Fiocruz Post-doctoral Program, Rio de Janeiro, RJ, Brazil. marla_presa_raulino@hotmail.com.ORCID http://orcid.org/0000-0001-5544-4715
Margareth Crisóstomo PortelaDepartment of Health Administration and Planning, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0002-9858-9276
Mariana Vercesi de AlbuquerqueDepartment of Health Administration and Planning, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0002-0763-6357
Mônica MartinsDepartment of Health Administration and Planning, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0002-9962-0618

Funding

Inova Fiocruz Program VPPCB-007-FIO-18
6 · The paper itself

Abstract

objectiveTo evaluate the variation in COVID-19 inpatient care mortality among hospitals reimbursed by the Unified Health System (SUS) in the first two years of the pandemic in São Paulo state and make performance comparisons within periods and over time.

methodsObservational study based on secondary data from the Hospital Information System. The study universe consisted of 289,005 adult hospitalizations whose primary diagnosis was COVID-19 in five periods from 2020 to 2022. A multilevel regression model was applied, and the death predictive variables were sex, age, Charlson Index, obesity, type of admission, Brazilian Deprivation Index (BrazDep), the month of admission, and hospital size. Then, the total observed deaths and total deaths predicted by the model's fixed effect component were aggregated by each hospital, estimating the Standardized Mortality Ratio (SMR) in each period. Funnel plots with limits of two standard deviations were employed to classify hospitals by performance (higher-than-expected, as expected, and lower-than-expected) and determine whether there was a change in category over the periods.

resultsA positive association was observed between hospital mortality and size (number of beds). There was greater variation in the percentage of hospitals with as-expected performance (39.5 to 76.1%) and those with lower-than-expected performance (6.6 to 32.3%). The hospitals with higher-than-expected performance remained at around 30% of the total, except in the fifth period. In the first period, 64 hospitals (18.3%) had lower-than-expected performance, with standardized mortality ratios ranging from 1.2 to 4.4, while in the last period, only 23 (6.6%) hospitals were similarly classified, with ratios ranging from 1.3 to 2.8. A trend of homogenization and adjustment to expected performance was observed over time.

conclusionDespite the study's limitations, the results suggest an improvement in the COVID-19 inpatient care performance of hospitals reimbursed by the SUS in São Paulo over the period studied, measured by the standardized mortality ratio for hospitalizations due to COVID-19. Moreover, the methodological approach adapted to the Brazilian context provides an applicable tool to follow-up hospital's performance in caring all or specific-cause hospitalizations, in regular or exceptional emergency situations.

Indexed as

COVID-19Hospital MortalityAdultAgedBrazilFemaleHospitalizationHumansMaleMiddle AgedNational Health ProgramsPandemicsCOVID-19Healthcare qualityHospital mortalityOutcome assessment (healthcare)Risk adjustment

Identifiers

PMID39334045
PMCPMC11428977

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LicenceCC BY-NC-ND
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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.