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

BACKGROUND: The 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. METHODS: This 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. RESULTS: A 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. CONCLUSIONS: This 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.

COVID-19 Telehealth Service Can Increase Access to the Health Care System and Become a Cost-Saving Strategy.

Introduction: Data addressing the economic aspects of telehealth initiatives are incipient. This study aimed to evaluate the labor costs for running a COVID-19 telehealth system and its potential incremental access to health care service. Methods: From July 2020 to July 2021, data from a Brazilian teleconsultation service were analyzed. Labor costs were estimated by time-driven activity-based costing. A Generalized Reduced Gradient solving method was coded to maximize the mean incremental access rate and two scenarios were considered to compare the teleconsultation with the in-person consultation: (1) only the length of time that patients spent with a clinician in an in-person consultation was accounted and (2) in addition to the medical consultation, nursing screening was accounted. The mean incremental access rate of the teleconsultation service was defined as a maximization objective in the model. Results: Mean labor costs per medical and nursing teleconsultations are Int$ 24 and Int$ 10, based on data analyses from 25,258 patients. Telemonitoring a patient with a daily call for 7 days costs, on average, Int$ 14. COVID-19 teleconsultation service represents, on average, an incremental access to medical consultation rate of 35% to 52% (min 23% max 63%) for the scenarios (1) and (2), respectively, and considering the current consumed budget for this service. Discussion: A COVID-19 telehealth service contributes to increasing access to the health care system without increasing costs. These services can be included in the bundle of care strategies offered in a national public health care system that looks for more sustainable strategies to provide care.

Hospital characteristics associated with COVID-19 mortality: data from the multicenter cohort Brazilian Registry.

The COVID-19 pandemic caused unprecedented pressure over health care systems worldwide. Hospital-level data that may influence the prognosis in COVID-19 patients still needs to be better investigated. Therefore, this study analyzed regional socioeconomic, hospital, and intensive care units (ICU) characteristics associated with in-hospital mortality in COVID-19 patients admitted to Brazilian institutions. This multicenter retrospective cohort study is part of the Brazilian COVID-19 Registry. We enrolled patients ≥ 18 years old with laboratory-confirmed COVID-19 admitted to the participating hospitals from March to September 2020. Patients' data were obtained through hospital records. Hospitals' data were collected through forms filled in loco and through open national databases. Generalized linear mixed models with logit link function were used for pooling mortality and to assess the association between hospital characteristics and mortality estimates. We built two models, one tested general hospital characteristics while the other tested ICU characteristics. All analyses were adjusted for the proportion of high-risk patients at admission. Thirty-one hospitals were included. The mean number of beds was 320.4 ± 186.6. These hospitals had eligible 6556 COVID-19 admissions during the study period. Estimated in-hospital mortality ranged from 9.0 to 48.0%. The first model included all 31 hospitals and showed that a private source of funding (ß = - 0.37; 95% CI - 0.71 to - 0.04; p = 0.029) and location in areas with a high gross domestic product (GDP) per capita (ß = - 0.40; 95% CI - 0.72 to - 0.08; p = 0.014) were independently associated with a lower mortality. The second model included 23 hospitals and showed that hospitals with an ICU work shift composed of more than 50% of intensivists (ß = - 0.59; 95% CI - 0.98 to - 0.20; p = 0.003) had lower mortality while hospitals with a higher proportion of less experienced medical professionals had higher mortality (ß = 0.40; 95% CI 0.11-0.68; p = 0.006). The impact of those association increased according to the proportion of high-risk patients at admission. In-hospital mortality varied significantly among Brazilian hospitals. Private-funded hospitals and those located in municipalities with a high GDP had a lower mortality. When analyzing ICU-specific characteristics, hospitals with more experienced ICU teams had a reduced mortality.

Extracorporeal membrane oxygenation outcomes in COVID-19 patients: Case series from the Brazilian COVID-19 Registry.

Around 5% of coronavirus disease 2019 (COVID-19) patients develop critical disease, with severe pneumonia and acute respiratory distress syndrome (ARDS). In these cases, extracorporeal membrane oxygenation (ECMO) may be considered when conventional therapy fails. This study aimed to describe the clinical characteristics and in-hospital outcomes of COVID-19 patients with ARDS refractory to lung-protective ventilation and prone positioning on ECMO support, as well as to review the available literature on ECMO use and COVID-19 patients' outcome. Patients from this case series were selected from the Brazilian COVID-19 Registry. From the 7646 patients included in the registry, only eight received ECMO support (0.1%), in four hospitals. The median age of the entire sample was 59 (interquartile range 54.2-64.4) years old and 87.5% were male. Hypertension (50.0%), diabetes mellitus (50.0%) and obesity (37.5%) were the most frequent comorbidities. The indications for ECMO were PaO2 /FiO2 ratio <80 mm Hg for more than 6 h or PaO2 /FiO2 ratio <60 mm Hg for more than 3 h. The mortality rate was 87.5%. In conclusion, in this case series of COVID-19 patients with ARDS refractory to conventional therapy who received ECMO support, a very high mortality was observed. Our findings are not different from previous studies including a small number of patients; however, there is a huge difference from Extracorporeal Life Support Organization results, which encourages us to keep looking for improvement.