Evidence map›Paper›PMID 36829122›Full record

ArticleBMC health services research2023

Comparison of COVID-19 hospitalization costs across care pathways: a patient-level time-driven activity-based costing analysis in a Brazilian hospital.

Ricardo Bertoglio Cardoso, Miriam Allein Zago Marcolino, Milena Soriano Marcolino, Camila Felix Fortis, Leila Beltrami Moreira, Ana Paula Coutinho, Nadine Oliveira Clausell, Junaid Nabi, Robert S Kaplan, Ana Paula Beck da Silva Etges and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
9.1field-weighted citation impact, top 3% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Ricardo Bertoglio CardosoNational Institute of Science and Technology for Health Technology Assessment (IATS) (project: 465518/2014-1), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Miriam Allein Zago MarcolinoNational Institute of Science and Technology for Health Technology Assessment (IATS) (project: 465518/2014-1), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Milena Soriano MarcolinoInternal Medicine Division, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil.
Camila Felix FortisNational Institute of Science and Technology for Health Technology Assessment (IATS) (project: 465518/2014-1), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Leila Beltrami MoreiraSchool of Medicine, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Ana Paula CoutinhoHospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil.
Nadine Oliveira ClausellSchool of Medicine, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Junaid NabiHarvard Business School, Boston, MA, USA.
Robert S KaplanHarvard Business School, Boston, MA, USA.
Ana Paula Beck da Silva EtgesNational Institute of Science and Technology for Health Technology Assessment (IATS) (project: 465518/2014-1), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Carisi Anne PolanczykNational Institute of Science and Technology for Health Technology Assessment (IATS) (project: 465518/2014-1), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil. carisi.anne@gmail.com.ORCID http://orcid.org/0000-0002-2447-2577
Universidade Federal do Rio Grande do Sul · BRUniversidade Federal de Minas Gerais · BRHospital de Clínicas de Porto Alegre · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic raised awareness of the need to better understand where and how patient-level costs are incurred in health care organizations, as health managers and other decision-makers need to plan and quickly adapt to the increasing demand for health care services to meet patients' care needs. Time-driven activity-based costing offers a better understanding of the drivers of cost throughout the care pathway, providing information that can guide decisions on process improvement and resource optimization. This study aims to estimate COVID-19 patient-level hospital costs and to evaluate cost variability considering the in-hospital care pathways of COVID-19 management and the patient clinical classification.

methodsThis is a prospective cohort study that applied time-driven activity-based costing (TDABC) in a Brazilian reference center for COVID-19. Patients hospitalized during the first wave of the disease were selected for their data to be analyzed to estimate in-hospital costs. The cost information was calculated at the patient level and stratified by hospital care pathway and Ordinal Scale for Clinical Improvement (OSCI) category. Multivariable analyses were applied to identify predictors of cost variability in the care pathways that were evaluated.

resultsA total of 208 patients were included in the study. Patients followed five different care pathways, of which Emergency + Ward was the most followed (n = 118, 57%). Pathways which included the intensive care unit presented a statistically significant influence on costs per patient (p <  0.001) when compared to Emergency + Ward. The median cost per patient was I$2879 (IQR 1215; 8140) and mean cost per patient was I$6818 (SD 9043). The most expensive care pathway was the ICU only, registering a median cost per patient of I$13,519 (IQR 5637; 23,373) and mean cost per patient of I$17,709 (SD 16,020). All care pathways that included the ICU unit registered a higher cost per patient.

conclusionsThis is one of the first microcosting study for COVID-19 that applied the TDABC methodology and demonstrated how patient-level costs vary as a function of the care pathways followed by patients. These findings can be used to develop value reimbursement strategies that will inform sustainable health policies in middle-income countries such as Brazil.

Indexed as

COVID-19Critical PathwaysBrazilHealth Care CostsHospital CostsHospitalizationHospitalsHumansPandemicsProspective StudiesTime FactorsCost and cost analysisCOVID-19Health care costsMicrocostingTDABCTime-driven activity-based costing

Identifiers

PMID36829122
PMCPMC9955521
OpenAlexW4321766004

What OpenQuestion holds

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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.