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Bader AM. Geriatric surgery centers: the way forward. Int Anesthesiol Clin 2023; 61:55-61. [PMID: 36706047 DOI: 10.1097/aia.0000000000000390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Affiliation(s)
- Angela M Bader
- Department of Anesthesiology, Perioperative Medicine and Pain, Brigham and Women's Hospital, Boston, Massachusetts
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2
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Cardoso RB, Marcolino MAZ, Marcolino MS, Fortis CF, Moreira LB, Coutinho AP, Clausell NO, Nabi J, Kaplan RS, Etges APBDS, Polanczyk CA. Comparison of COVID-19 hospitalization costs across care pathways: a patient-level time-driven activity-based costing analysis in a Brazilian hospital. BMC Health Serv Res 2023; 23:198. [PMID: 36829122 PMCID: PMC9955521 DOI: 10.1186/s12913-023-09049-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 01/09/2023] [Indexed: 02/26/2023] Open
Abstract
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.
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Affiliation(s)
- Ricardo Bertoglio Cardoso
- grid.8532.c0000 0001 2200 7498National 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 ,grid.8532.c0000 0001 2200 7498Graduate Program in Epidemiology, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Miriam Allein Zago Marcolino
- grid.8532.c0000 0001 2200 7498National 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 ,grid.8532.c0000 0001 2200 7498Graduate Program in Epidemiology, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Milena Soriano Marcolino
- grid.8430.f0000 0001 2181 4888Internal Medicine Division, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil
| | - Camila Felix Fortis
- grid.8532.c0000 0001 2200 7498National 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 Moreira
- grid.8532.c0000 0001 2200 7498School of Medicine, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil ,grid.414449.80000 0001 0125 3761Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - Ana Paula Coutinho
- grid.414449.80000 0001 0125 3761Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - Nadine Oliveira Clausell
- grid.8532.c0000 0001 2200 7498School of Medicine, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil ,grid.414449.80000 0001 0125 3761Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - Junaid Nabi
- grid.38142.3c000000041936754XHarvard Business School, Boston, MA USA
| | - Robert S. Kaplan
- grid.38142.3c000000041936754XHarvard Business School, Boston, MA USA
| | - Ana Paula Beck da Silva Etges
- grid.8532.c0000 0001 2200 7498National 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 ,grid.8532.c0000 0001 2200 7498Graduate Program in Epidemiology, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil ,grid.412519.a0000 0001 2166 9094School of Technology, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
| | - Carisi Anne Polanczyk
- National 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. .,Graduate Program in Epidemiology, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil. .,School of Medicine, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil. .,Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil.
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Baldwin LM, Katers LA, Sullivan MD, Gordon DB, James A, Tauben DJ, Arbabi S. Lessons from the implementation of a trauma center-based program to support primary care providers in managing opioids and pain after trauma hospitalization. Trauma Surg Acute Care Open 2023; 8:e001038. [PMID: 36844370 PMCID: PMC9944266 DOI: 10.1136/tsaco-2022-001038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 01/07/2023] [Indexed: 02/22/2023] Open
Abstract
Background Decreasing exposure to prescription opioids is critical to lowering risk of opioid misuse, overdose and opioid use disorder. This study reports a secondary analysis of a randomized controlled trial implementing an opioid taper support program directed to primary care providers (PCPs) of patients discharged from a level I trauma center to their homes distant from the center, and shares lessons for trauma centers in supporting these patients. Methods This longitudinal descriptive mixed-methods study uses quantitative/qualitative data from trial intervention arm patients to examine implementation challenges and outcomes: adoption, acceptability, appropriateness, feasibility, fidelity. In the intervention, a physician assistant (PA) contacted patients after discharge to review their discharge instructions and pain management plan, confirm their PCP's identity and encourage PCP follow-up. The PA reached out to the PCP to review the discharge instructions and offer ongoing opioid taper and pain management support. Results The PA reached 32 of 37 patients randomized to the program. Of these 32, 81% discussed topics not targeted by the intervention (eg, social/financial). The PA identified and reached a PCP's office for only 51% of patients. Of these, all PCP offices (100% adoption) received one to four consults (mean 1.9) per patient (fidelity). Few consults were with PCPs (22%); most were with medical assistants (56%) or nurses (22%). The PA reported that it was not routinely clear to patients or PCPs who was responsible for post-trauma care and opioid taper, and what the taper instructions were. Conclusions This level I trauma center successfully implemented a telephonic opioid taper support program during COVID-19 but adapted the program to allow nurses and medical assistants to receive it. This study demonstrates a critical need to improve care transition from hospitalization to home for patients discharged after trauma. Level of evidence Level IV.
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Affiliation(s)
- Laura-Mae Baldwin
- Department of Family Medicine and the Harborview Injury Prevention & Research Center, University of Washington, Seattle, Washington, USA
| | - Laura A Katers
- Department of Anesthesiology & Pain Medicine, University of Washington, Seattle, Washington, USA
| | - Mark D Sullivan
- Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, Washington, USA
| | - Debra B Gordon
- Department of Anesthesiology & Pain Medicine, University of Washington, Seattle, Washington, USA
| | - Adrienne James
- Department of Anesthesiology & Pain Medicine, University of Washington, Seattle, Washington, USA
| | - David J Tauben
- Department of Anesthesiology & Pain Medicine, University of Washington, Seattle, Washington, USA,Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Saman Arbabi
- Department of Surgery, University of Washington, Seattle, Washington, USA
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Stone AB, Dasani SS, Grant MC, Nascimben L, Bader AM. Understanding the Economic Impact of an Essential Service: Applying Time-Driven Activity-Based Costing to the Hospital Airway Response Team. Anesth Analg 2022; 134:445-453. [PMID: 35180159 DOI: 10.1213/ane.0000000000005838] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND As the United States moves toward value-based care metrics, it will become essential for anesthesia groups nationwide to understand the costs of their services. Time-driven activity-based costing (TDABC) estimates the amount of time it takes to perform a clinical activity by dividing complex tasks into process steps and mapping each step and has historically been used to estimate the costs of various health care services. TDABC is a tool that can be adapted for variable staffing models and the volume of service provided. Anesthesia departments often provide staffing for airway response teams (ART). The economic implications of staffing ART have not been well described. We present a TDABC model for ART activation in a tertiary-care center to estimate the cost incurred by an anesthesiology department to staff an ART. METHODS Pages received by the Brigham and Women's Hospital ART over a 24-month time period (January 2019 to December 2020) were analyzed and categorized. The local administrative database was queried for the Current Procedural Terminology (CPT) code used to bill for emergency airway placements. Sessions were held by multiple members of the ART to create process maps for the different types of ART activations. We estimated the staffing costs using the estimated time it took for each type of ART activation as well as the data collected for local ART activations. RESULTS From the paging records, we analyzed 3368 activations of the ART. During the study period, 1044 airways were billed for with emergency airway CPT code. The average revenue collected per airway was $198.45 (95% CI, $190-$207). For STAT/Emergency airway team activations, process maps and non-STAT airway team activations were created, and third subprocess map was created for performing endotracheal intubation. Using the TDABC, the total staffing costs are estimated to be $218,601 for the 2-year study period. The ART generated $207,181 in revenue during the study period. CONCLUSIONS Our analysis of ART-activation pages suggests that while the revenue generated may cover the cost of staffing the team during ART activations, it does not cover consumable equipment costs. Additionally, the current fee-for-service model relies on the team being able to perform other clinical duties in addition to covering the airway pager and would be impossible to capture using traditional top-down costing methods. By using TDABC, anesthesia groups can demonstrate how certain services, such as ART, are not fully covered by current reimbursement models and how to negotiate for subsidy agreements.As the transition from traditional fee-for-service payments to value-based care models continues in the United States, improving the understanding and communication of medical care costs will be essential. In the United States, it is common for anesthesia groups to receive direct revenue from hospitals to preserve financial viability, and therefore, knowledge of true cost is essential regardless of payer model.1 With traditional payment models, what is billable and nonbillable may not reflect either the need for or the cost of providing the service. As anesthesia departments navigate the transition of care from volume to value, actual costs will be essential to understand for negotiations with hospitals for support when services are nonbillable, when revenue from payers does not cover anesthesia costs, and when calculating the appropriate share for anesthesia departments when bundled payments are distributed.
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Affiliation(s)
- Alexander B Stone
- From the Department of Anesthesiology, Pain and Perioperative Medicine, Brigham and Women's Hospital, Boston, Massachusetts.,Department of Anesthesiology, Hospital for Special Surgery, New York, New York
| | - Serena S Dasani
- From the Department of Anesthesiology, Pain and Perioperative Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Michael C Grant
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins Hospital, Baltimore, Maryland
| | - Luigino Nascimben
- From the Department of Anesthesiology, Pain and Perioperative Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Angela M Bader
- From the Department of Anesthesiology, Pain and Perioperative Medicine, Brigham and Women's Hospital, Boston, Massachusetts.,Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts
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Simões Corrêa Galendi J, Yeo SY, Simic D, Grüll H, Stock S, Müller D. A time-driven activity-based costing approach of magnetic resonance-guided high-intensity focused ultrasound for cancer-induced bone pain. Int J Hyperthermia 2022; 39:173-180. [PMID: 35021942 DOI: 10.1080/02656736.2021.2023768] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
OBJECTIVE To determine resource consumption and total costs for providing magnetic resonance-guided high-intensity focused ultrasound (MR-HIFU) treatment to a patient with cancer-induced bone pain (CIBP). METHODS We conducted a time-driven activity-based costing (TD-ABC) of MR-HIFU treatments for CIBP from a hospital perspective. A European care-pathway (including a macro-, meso-, and micro-level) was designed to incorporate the care-delivery value chain. Time estimates were obtained from medical records and from prospective direct observations. To calculate the capacity cost rate, data from the controlling department of a German university hospital were allocated to the modules of the care pathway. Best- and worst-case scenarios were calculated by applying lower and upper bounds of time measurements. RESULTS The macro-level care pathway consisted of eight modules (i.e., outpatient consultations, pretreatment imaging, preparation, optimization, sonication, post-treatment, recovery, and anesthesia). The total cost of an MR-HIFU treatment amounted to €5147 per patient. Best- and worst-case scenarios yielded a total cost of €4092 and to €5876. According to cost categories, costs due to equipment accounted for 41% of total costs, followed by costs with personnel (32%), overhead (16%) and materials (11%). CONCLUSION MR-HIFU is an emerging noninvasive treatment for alleviating CIBP, with increasing evidence on treatment efficacy. This costing study can support MR-HIFU reimbursement negotiations and facilitate the adoption of MR-HIFU as first-line treatment for CIBP. The present TD-ABC model creates the opportunity of benchmarking the provision of MR-HIFU to bone tumor.Key pointsMagnetic resonance-guided high-intensity focused ultrasound (MR-HIFU) is an emerging noninvasive treatment modality for alleviating cancer-induced bone pain (CIBP).From a hospital perspective, the total cost of MR-HIFU amounted to €5147 per treatment.This time-driven activity-based costing model creates the opportunity of benchmarking the provision of MR-HIFU to bone tumor.
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Affiliation(s)
- Julia Simões Corrêa Galendi
- Faculty of Medicine and University Hospital of Cologne, Institute of Health Economics and Clinical Epidemiology, University of Cologne, Cologne, Germany
| | - Sin Yuin Yeo
- Faculty of Medicine and University Hospital of Cologne, Institute of Diagnostic and Interventional Radiology, University of Cologne, Cologne, Germany
| | - Dusan Simic
- Faculty of Medicine and University Hospital of Cologne, Institute of Health Economics and Clinical Epidemiology, University of Cologne, Cologne, Germany
| | - Holger Grüll
- Faculty of Medicine and University Hospital of Cologne, Institute of Diagnostic and Interventional Radiology, University of Cologne, Cologne, Germany.,Department of Chemistry, Faculty of Mathematics and Natural Sciences, University of Cologne, Cologne, Germany
| | - Stephanie Stock
- Faculty of Medicine and University Hospital of Cologne, Institute of Health Economics and Clinical Epidemiology, University of Cologne, Cologne, Germany
| | - Dirk Müller
- Faculty of Medicine and University Hospital of Cologne, Institute of Health Economics and Clinical Epidemiology, University of Cologne, Cologne, Germany
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Krishnan S, Bader AM, Urman RD, Hepner DL. Shifting from volume to value: a new era in perioperative care. Int Anesthesiol Clin 2022; 60:74-79. [PMID: 34897223 DOI: 10.1097/aia.0000000000000348] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Sindhu Krishnan
- Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Angela M Bader
- Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts
| | - Richard D Urman
- Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - David L Hepner
- Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, Massachusetts
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7
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da Silva Etges APB, Cruz LN, Schlatter R, Neyeloff J, Cardoso RB, Kopittke L, Nunes AA, Neto JA, Nogueira JL, de Assis RM, Tobias JSP, Marin-Neto JA, Moreira LB, Polanczyk CA. Time-driven activity-based costing as a strategy to increase efficiency: An analyses of interventional coronary procedures. Int J Health Plann Manage 2021; 37:189-201. [PMID: 34505319 DOI: 10.1002/hpm.3320] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 08/16/2021] [Accepted: 08/23/2021] [Indexed: 11/07/2022] Open
Abstract
Monitoring the costs is one of the key components underlying value-based health care. This study aimed to evaluate the cost-saving opportunities of interventional coronary procedures (ICPs). Data from 90 patients submitted to elective ICP were evaluated in five Brazilian hospitals. Time-driven activity-based costing, that guides the cost estimates using the time consumed and the capacity cost rates per resource as the data input, was used to assess costs and the time spent over the care pathway. Descriptive cost analyses were followed by a labour cost-saving estimate potentially achieved by the redesign of the ICP pathway. The mean cost per patient varied from $807 to $2639. The length of the procedure phase per patient was similar among the hospitals, while the post-procedure phase presented the highest variation in length. The highest direct cost saving opportunities are concentrated in the procedure phase. By comparing the benchmark service with the most expensive one, it was estimated that redesigning physician practices could decrease 51% of the procedure cost. This application is pioneered in Brazil and demonstrates how detailed cost information can contribute to driving health care management to value by identifying cost-saving opportunities.
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Affiliation(s)
- Ana Paula Beck da Silva Etges
- National Institute of Science and Technology for Health Technology Assessment (IATS)- CNPq/Brazil (project: 465518/2014-1), Porto Alegre, Rio Grande do Sul, Brazil
- Programa de Pós-graduação em Epidemiologia da Escola de Medicina da Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- School of Technology, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- The TDABC in Healthcare Consortium, Porto Alegre, Rio Grande do Sul, Brazil
| | - Luciane Nascimento Cruz
- National Institute of Science and Technology for Health Technology Assessment (IATS)- CNPq/Brazil (project: 465518/2014-1), Porto Alegre, Rio Grande do Sul, Brazil
- Hospital Moinhos de Vento, Porto Alegre, Rio Grande do Sul, Brazil
| | - Rosane Schlatter
- National Institute of Science and Technology for Health Technology Assessment (IATS)- CNPq/Brazil (project: 465518/2014-1), Porto Alegre, Rio Grande do Sul, Brazil
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Jeruza Neyeloff
- National Institute of Science and Technology for Health Technology Assessment (IATS)- CNPq/Brazil (project: 465518/2014-1), Porto Alegre, Rio Grande do Sul, Brazil
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Ricardo Bertoglio Cardoso
- Programa de Pós-graduação em Epidemiologia da Escola de Medicina da Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- The TDABC in Healthcare Consortium, Porto Alegre, Rio Grande do Sul, Brazil
- Hospital Moinhos de Vento, Porto Alegre, Rio Grande do Sul, Brazil
| | - Luciane Kopittke
- Grupo Hospitalar Nossa Senhora da Conceição, Porto Alegre, Rio Grande do Sul, Brazil
| | | | - José Alburquerque Neto
- Hospital Universitário Presidente Dutra da Universidade Federal do Maranhão, São Luís, Maranhão, Brazil
| | - José Luiz Nogueira
- Hospital das Clínicas da Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Renata Melo de Assis
- Hospital Universitário Presidente Dutra da Universidade Federal do Maranhão, São Luís, Maranhão, Brazil
| | | | - José Antonio Marin-Neto
- Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Ribeirão Preto, São Paulo, Brazil
| | | | - Carisi Anne Polanczyk
- National Institute of Science and Technology for Health Technology Assessment (IATS)- CNPq/Brazil (project: 465518/2014-1), Porto Alegre, Rio Grande do Sul, Brazil
- Programa de Pós-graduação em Epidemiologia da Escola de Medicina da Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- The TDABC in Healthcare Consortium, Porto Alegre, Rio Grande do Sul, Brazil
- Hospital Moinhos de Vento, Porto Alegre, Rio Grande do Sul, Brazil
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Programa de Pós-graduação em Cardiologia da Escola de Medicina da Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
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Urman RD. Editorial: Nonoperating room anesthesia in the era of value-based care. Curr Opin Anaesthesiol 2021; 34:428-429. [PMID: 34074886 DOI: 10.1097/aco.0000000000001026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Richard D Urman
- Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
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9
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Etges APBS, Stefani LPC, Vrochides D, Nabi J, Polanczyk CA, Urman RD. A Standardized Framework for Evaluating Surgical Enhanced Recovery Pathways: A Recommendations Statement from the TDABC in Health-care Consortium. JOURNAL OF HEALTH ECONOMICS AND OUTCOMES RESEARCH 2021; 8:116-124. [PMID: 34222551 PMCID: PMC8225410 DOI: 10.36469/001c.24590] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 06/01/2021] [Indexed: 06/13/2023]
Abstract
Background: Innovative methodologies to redesign care delivery are being applied to increase value in health care, including the creation of enhanced recovery pathways (ERPs) for surgical patients. However, there is a lack of standardized methods to evaluate ERP implementation costs. Objectives: This Recommendations Statement aims to introduce a standardized framework to guide the economic evaluation of ERP care-design initiatives, using the Time-Driven Activity-Based Costing (TDABC) methodology. Methods: We provide recommendations on using the proposed framework to support the decision-making processes that incorporate ERPs. Since ERPs are usually composed of activities distributed throughout the patient care pathway, the framework can demonstrate how the TDABC may be a valuable method to evaluate the incremental costs of protocol implementation. Our recommendations are based on the review of available literature and expert opinions of the members of the TDABC in Healthcare Consortium. Results: The ERP framework, composed of 11 steps, was created describing how the techniques and methods can be applied to evaluate the economic impact of an ERP and guide health-care leaders to optimize the decision-making process of incorporating ERPs into health-care settings. Finally, six recommendations are introduced to demonstrate that using the suggested framework could increase value in ERP care-design initiatives by reducing variability in care delivery, educating multidisciplinary teams about value in health, and increasing transparency when managing surgical pathways. Conclusions: Our proposed standardized framework can guide decisions and support measuring improvements in value achieved by incorporating the perioperative redesign protocols.
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Affiliation(s)
- Ana Paula B S Etges
- National Institute of Science and Technology for Health Technology Assessment (IATS) - CNPq/Brazil (project: 465518/2014-1), Porto Alegre, RS, Brazil; School of Technology, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil; Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | | | - Dionisios Vrochides
- Division of Hepatobiliary & Pancreas Surgery, Carolinas Medical Center, Atrium Health, Charlotte, NC, USA
| | - Junaid Nabi
- Harvard University, Harvard Business School, Boston, MA, USA
| | - Carisi Anne Polanczyk
- National Institute of Science and Technology for Health Technology Assessment (IATS) - CNPq/Brazil (project: 465518/2014-1), Porto Alegre, RS, Brazil; Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Richard D Urman
- National Institute of Science and Technology for Health Technology Assessment (IATS) - CNPq/Brazil (project: 465518/2014-1), Porto Alegre, RS, Brazil; School of Technology, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil; Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
- Division of Hepatobiliary & Pancreas Surgery, Carolinas Medical Center, Atrium Health, Charlotte, NC, USA
- Harvard University, Harvard Business School, Boston, MA, USA
- National Institute of Science and Technology for Health Technology Assessment (IATS) - CNPq/Brazil (project: 465518/2014-1), Porto Alegre, RS, Brazil; Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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10
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Etges APBDS, Polanczyk CA, Urman RD. A standardized framework to evaluate the quality of studies using TDABC in healthcare: the TDABC in Healthcare Consortium Consensus Statement. BMC Health Serv Res 2020; 20:1107. [PMID: 33256733 PMCID: PMC7706254 DOI: 10.1186/s12913-020-05869-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 10/27/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND This Consensus Statement introduces a standardized framework, in a checklist format, to support future development and reporting of TDABC studies in healthcare, and to encourage their reproducibility. Additionally, it establishes the first formal networking of TDABC researchers through the creation of the TDABC in Healthcare Consortium. METHODS A consensus group of researchers reviewed the most relevant TDABC studies available in Medline and Scopus databases to identify the initial elements of the checklist. Using a Focus Group process, each element received a recommendation regarding where in the scientific article section it should be placed and whether the element was required or suggested. A questionnaire was circulated with expert researchers in the field to provide additional recommendations regarding the content of the checklist and the strength of recommendation for each included element. RESULTS The TDABC standardized framework includes 32 elements, provides recommendations where in the scientific article to include each element, and comments on the strength of each recommendation. All 32 elements were validated, with 21 elements classified as mandatory and 11 as suggested but not mandatory. CONCLUSIONS This is the first standardized framework to support the development and reporting of TDABC research in healthcare and to stablish a community of experts in TDABC methodology. We expect that it can contribute to scale strategies that would result in cost-savings outcomes and in value-oriented strategies that can be adopted in healthcare systems and institutions.
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Affiliation(s)
- Ana Paula Beck da Silva Etges
- National Institute of Science and Technology for Health Technology Assessment (IATS)- CNPq/Brazil (project: 465518/2014-1), Ramiro Barcelos 2350, Porto Alegre, Brazil.
- School of Technology, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil.
- Programa de Pós-graduação em Epidemiologia da Escola de Medicina da Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
- , .
| | - Carisi Anne Polanczyk
- National Institute of Science and Technology for Health Technology Assessment (IATS)- CNPq/Brazil (project: 465518/2014-1), Ramiro Barcelos 2350, Porto Alegre, Brazil
- Programa de Pós-graduação em Epidemiologia da Escola de Medicina da Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
- Hospital Moinhos de Vento, Porto Alegre, Brazil
| | - Richard D Urman
- Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital/Harvard Medical School, Boston, MA, USA
- Center for Perioperative Research, Brigham and Women's Hospital, Boston, MA, USA
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11
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Cooper L, Abbett SK, Feng A, Bernacki RE, Cooper Z, Urman RD, Frain LN, Edwards AF, Blitz JD, Javedan H, Bader AM. Launching a Geriatric Surgery Center: Recommendations from the Society for Perioperative Assessment and Quality Improvement. J Am Geriatr Soc 2020; 68:1941-1946. [DOI: 10.1111/jgs.16681] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 06/03/2020] [Accepted: 06/04/2020] [Indexed: 12/14/2022]
Affiliation(s)
- Lisa Cooper
- Division of Aging, Department of Medicine Brigham and Womenʼs Hospital Boston Massachusetts USA
| | - Sarah K. Abbett
- Department of Anesthesiology, Perioperative and Pain Medicine Brigham and Womenʼs Hospital Boston Massachusetts USA
| | - Aiden Feng
- Department of Anesthesiology, Perioperative and Pain Medicine Brigham and Womenʼs Hospital Boston Massachusetts USA
| | - Rachelle E. Bernacki
- Department of Psychosocial Oncology and Palliative Care Dana‐Farber Cancer Institute Boston Massachusetts USA
| | - Zara Cooper
- Department of Surgery Brigham and Womenʼs Hospital Boston Massachusetts USA
| | - Richard D. Urman
- Department of Anesthesiology, Perioperative and Pain Medicine Brigham and Womenʼs Hospital Boston Massachusetts USA
| | - Laura N. Frain
- Division of Aging, Department of Medicine Brigham and Womenʼs Hospital Boston Massachusetts USA
| | - Angela F. Edwards
- Department of Anesthesiology Wake Forest School of Medicine Winston‐Salem North Carolina USA
| | - Jeanna D. Blitz
- Department of Anesthesiology Duke University School of Medicine Durham North Carolina USA
| | - Houman Javedan
- Division of Aging, Department of Medicine Brigham and Womenʼs Hospital Boston Massachusetts USA
| | - Angela M. Bader
- Department of Anesthesiology, Perioperative and Pain Medicine Brigham and Womenʼs Hospital Boston Massachusetts USA
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12
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Mihalj M, Carrel T, Gregoric ID, Andereggen L, Zinn PO, Doll D, Stueber F, Gabriel RA, Urman RD, Luedi MM. Telemedicine for preoperative assessment during a COVID-19 pandemic: Recommendations for clinical care. Best Pract Res Clin Anaesthesiol 2020; 34:345-351. [PMID: 32711839 PMCID: PMC7255146 DOI: 10.1016/j.bpa.2020.05.001] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 05/05/2020] [Indexed: 12/18/2022]
Abstract
Limiting the spread of the disease is key to controlling the COVID-19 pandemic. This includes identifying people who have been exposed to COVID-19, minimizing patient contact, and enforcing strict hygiene measures. To prevent healthcare systems from becoming overburdened, elective and non-urgent medical procedures and treatments have been postponed, and primary health care has broadened to include virtual appointments via telemedicine. Although telemedicine precludes the physical examination of a patient, it allows collection of a range of information prior to a patient's admission, and may therefore be used in preoperative assessment. This new tool can be used to evaluate the severity and progression of the main disease, other comorbidities, and the urgency of the surgical treatment as well as preferencing anesthetic procedures. It can also be used for effective screening and triaging of patients with suspected or established COVID-19, thereby protecting other patients, clinicians and communities alike.
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Affiliation(s)
- Maks Mihalj
- Department of Cardiovascular Surgery, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, CH-3010, Bern, Switzerland.
| | - Thierry Carrel
- Department of Cardiovascular Surgery, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, CH-3010, Bern, Switzerland.
| | - Igor D Gregoric
- Center for Advanced Heart Failure, Cardiopulmonary Support and Transplantation Program, Memorial Hermann Heart & Vascular Institute, Texas Medical Center, and University of Texas McGovern Medical School, 6400 Fannin St., Suite 2350, Houston 77030, TX, USA.
| | - Lukas Andereggen
- Department of Neurosurgery, Kantonsspital Aarau, Tellstrasse 25, 5001, Aarau, Switzerland.
| | - Pascal O Zinn
- Department of Neurosurgery, University of Pittsburgh School of Medicine, 200 Lothrop Street, Pittsburgh, PA, 15213, USA.
| | - Dietrich Doll
- Department of Colorectal Surgery, St. Marien-Krankenhaus, Marienstraße 6-8, 49377, Vechta, Germany.
| | - Frank Stueber
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, CH-3010, Bern, Switzerland.
| | - Rodney A Gabriel
- Department of Anesthesiology, University of California San Diego, 9300 Campus Point Dr, 92037, La Jolla, CA, USA.
| | - Richard D Urman
- Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, 02115, Boston, MA, USA.
| | - Markus M Luedi
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, CH-3010, Bern, Switzerland.
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