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Zuber A, Rubarth K, Förster F, Balzer F, Spies C, Fürstenau D, Kumpf O. The impact of adhering to a quality indicator for sedation, analgesia, and delirium management on costs, revenues, and clinical outcomes in intensive care in Germany: A retrospective observational study. PLoS One 2024; 19:e0308948. [PMID: 39146321 DOI: 10.1371/journal.pone.0308948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 08/01/2024] [Indexed: 08/17/2024] Open
Abstract
BACKGROUND Management of sedation, analgesia, and delirium influences morbidity, mortality, and quality of life in patients treated in intensive care. Assessing quality indicators as part of a quality management and assurance program is an established method to ensure process quality. Currently, there is limited research on the effect of evaluating quality indicators on economic outcomes. The aim of the study was to investigate the adherence to an indicator on management of sedation, analgesia and delirium, and explore potential effects on hospital economics and clinical outcomes. METHODS In this retrospective cohort study, we analyzed routine data from 20,220 patient records from the hospital information system of a tertiary university hospital, collected from January 2012 to December 2019. We compared two predefined subgroups with either high indicator adherence or low indicator adherence regarding factors like disease severity scores, comorbidities, and outcome measures. We used logistic regression models to examine the influence of quality indicator adherence on economic measures such as Diagnosis-related group (DRG) incomes, revenue margins, and costs, and clinical outcomes. Additionally, we used propensity score matching to probe our findings. RESULTS Overall revenue margins in this cohort were negative (-320€). High adherence to the quality indicator was associated with a positive revenue margin (+197€) compared to low adherence (-482€). Higher adherence was also associated with lower costs. Additionally, high adherence was associated with reduced mortality (OR 0.84, 95% CI 0.75-0.95) and reduced duration of mechanical ventilation and hospital stay (17 hours and 1 day respectively). CONCLUSION Higher adherence to a quality indicator for sedation, analgesia, and delirium management was associated with economic returns and costs. We also found an association with lower mortality and reduced length of stay. Further research on these associations may help identify opportunities for quality improvement without increased resource use.
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Affiliation(s)
- Alexander Zuber
- Commercial Department, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany
- Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Kerstin Rubarth
- Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Frank Förster
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Corporate Controlling, Berlin, Germany
| | - Felix Balzer
- Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Claudia Spies
- Department of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Daniel Fürstenau
- Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Information Systems, Freie Universität Berlin, School of Business & Economics, Berlin, Germany
| | - Oliver Kumpf
- Department of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
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Kansal A, Latour JM, See KC, Rai S, Cecconi M, Britto C, Conway Morris A, Dominic Savio R, Nadkarni VM, Rao BK, Mishra R. Interventions to promote cost-effectiveness in adult intensive care units: consensus statement and considerations for best practice from a multidisciplinary and multinational eDelphi study. Crit Care 2023; 27:487. [PMID: 38082302 PMCID: PMC10712165 DOI: 10.1186/s13054-023-04766-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND There is limited evidence to guide interventions that promote cost-effectiveness in adult intensive care units (ICU). The aim of this consensus statement is to identify globally applicable interventions for best ICU practice and provide guidance for judicious use of resources. METHODS A three-round modified online Delphi process, using a web-based platform, sought consensus from 61 multidisciplinary ICU experts (physicians, nurses, allied health, administrators) from 21 countries. Round 1 was qualitative to ascertain opinions on cost-effectiveness criteria based on four key domains of high-value healthcare (foundational elements; infrastructure fundamentals; care delivery priorities; reliability and feedback). Round 2 was qualitative and quantitative, while round 3 was quantitative to reiterate and establish criteria. Both rounds 2 and 3 utilized a five-point Likert scale for voting. Consensus was considered when > 70% of the experts voted for a proposed intervention. Thereafter, the steering committee endorsed interventions that were identified as 'critical' by more than 50% of steering committee members. These interventions and experts' comments were summarized as final considerations for best practice. RESULTS At the conclusion of round 3, consensus was obtained on 50 best practice considerations for cost-effectiveness in adult ICU. Finally, the steering committee endorsed 9 'critical' best practice considerations. This included adoption of a multidisciplinary ICU model of care, focus on staff training and competency assessment, ongoing quality audits, thus ensuring high quality of critical care services whether within or outside the four walls of ICUs, implementation of a dynamic staff roster, multidisciplinary approach to implementing end-of-life care, early mobilization and promoting international consensus efforts on the Green ICU concept. CONCLUSIONS This Delphi study with international experts resulted in 9 consensus statements and best practice considerations promoting cost-effectiveness in adult ICUs. Stakeholders (government bodies, professional societies) must lead the efforts to identify locally applicable specifics while working within these best practice considerations with the available resources.
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Affiliation(s)
- Amit Kansal
- Department of Intensive Care Medicine, Ng Teng Fong General Hospital, Jurong Health Campus, National University Health System, Singapore, Singapore.
| | - Jos M Latour
- School of Nursing and Midwifery, Faculty of Health, University of Plymouth, Plymouth, UK
- Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Kay Choong See
- Division of Respiratory and Critical Care Medicine, Department of Medicine, National University Hospital, Singapore, Singapore
| | - Sumeet Rai
- Intensive Care Unit, Canberra Hospital, Canberra, Australia
| | - Maurizio Cecconi
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy
- IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Carl Britto
- Division of Critical Care, Department of Anesthesia, Critical Care and Pain Medicine, Boston Children's Hospital, Boston, USA
| | - Andrew Conway Morris
- Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK
- John V Farman Intensive Care Unit, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | - Vinay M Nadkarni
- Department of Anesthesiology, Critical Care, and Pediatrics at the Children's Hospital of Philadelphia (CHOP), University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - B K Rao
- Department of Critical Care Medicine, Sir Ganga Ram Hospital, New Delhi, India
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de Vos J, Visser LA, de Beer AA, Fornasa M, Thoral PJ, Elbers PWG, Cinà G. The Potential Cost-Effectiveness of a Machine Learning Tool That Can Prevent Untimely Intensive Care Unit Discharge. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2022; 25:359-367. [PMID: 35227446 DOI: 10.1016/j.jval.2021.06.018] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 05/06/2021] [Accepted: 06/29/2021] [Indexed: 06/14/2023]
Abstract
OBJECTIVES The machine learning prediction model Pacmed Critical (PC), currently under development, may guide intensivists in their decision-making process on the most appropriate time to discharge a patient from the intensive care unit (ICU). Given the financial pressure on healthcare budgets, this study assessed whether PC has the potential to be cost-effective compared with standard care, without the use of PC, for Dutch patients in the ICU from a societal perspective. METHODS A 1-year, 7-state Markov model reflecting the ICU care pathway and incorporating the PC decision tool was developed. A hypothetical cohort of 1000 adult Dutch patients admitted in the ICU was entered in the model. We used the literature, expert opinion, and data from Amsterdam University Medical Center for model parameters. The uncertainty surrounding the incremental cost-effectiveness ratio was assessed using deterministic and probabilistic sensitivity analyses and scenario analyses. RESULTS PC was a cost-effective strategy with an incremental cost-effectiveness ratio of €18 507 per quality-adjusted life-year. PC remained cost-effective over standard care in multiple scenarios and sensitivity analyses. The likelihood that PC will be cost-effective was 71% at a willingness-to-pay threshold of €30 000 per quality-adjusted life-year. The key driver of the results was the parameter "reduction in ICU length of stay." CONCLUSIONS We showed that PC has the potential to be cost-effective for Dutch ICUs in a time horizon of 1 year. This study is one of the first cost-effectiveness analyses of a machine learning device. Further research is needed to validate the effectiveness of PC, thereby focusing on the key parameter "reduction in ICU length of stay" and potential spill-over effects.
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Affiliation(s)
- Juliette de Vos
- Pacmed B.V., Amsterdam, The Netherlands; Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
| | - Laurenske A Visser
- Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | | | | | - Patrick J Thoral
- Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Paul W G Elbers
- Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
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The Economic and Clinical Impact of an Early Mobility Program in the Trauma Intensive Care Unit: A Quality Improvement Project. J Trauma Nurs 2020; 27:29-36. [PMID: 31895316 DOI: 10.1097/jtn.0000000000000479] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Traumatic injury survivors often face a difficult recovery. Surgical and invasive procedures, prolonged monitoring in the intensive care unit (ICU), and constant preventive vigilance by medical staff guide standards of care to promote positive outcomes. Recently, patients with traumatic injuries have benefited from early mobilization, a multidisciplinary approach to increasing participation in upright activity and walking. The purpose of this project was to determine the impact of an early mobility program in the trauma ICU on length of stay (LOS), ventilator days, cost, functional milestones, and rehabilitation utilization. A quality improvement project compared outcomes and cost before and after the implementation of an early mobility program. The trauma team assigned daily mobility levels to trauma ICU patients. Nursing and rehabilitation staff collaborated to set daily goals and provide mobility-based interventions. Forty-four patients were included in the preintervention group and 43 patients in the early mobility group. Physical therapy and occupational therapy were initiated earlier in the early mobilization group (p = .044 and p = .026, respectively). Improvements in LOS, duration of mechanical ventilation, time to out-of-bed activity and walking, and discharge disposition were not significant. There were no adverse events related to the early mobility initiative. Activity intolerance resulted in termination of 7.1% of mobility sessions. The development and initiation of a trauma-specific early mobility program proved to be safe and reduce patient care costs. In addition, the program facilitated earlier initiation of physician and occupational therapies. Although not statistically significant, retrospective data abstraction provides evidence of fewer ICU and total hospital days, earlier extubations, and greater proactive participation in functional activities.
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Tran DT, Thanh NX, Opgenorth D, Wang X, Zuege D, Zygun DA, Stelfox HT, Bagshaw SM. Association between strained ICU capacity and healthcare costs in Canada: A population-based cohort study. J Crit Care 2019; 51:175-183. [PMID: 30852346 DOI: 10.1016/j.jcrc.2019.02.025] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2019] [Revised: 02/11/2019] [Accepted: 02/25/2019] [Indexed: 12/31/2022]
Abstract
BACKGROUND Intensive care is resource intensive, with costs representing a substantial quantity of total hospitalization costs. Strained ICU capacity compromises care quality and adversely impacts outcomes; however, the association between strain and healthcare costs has not been explored. MATERIALS AND METHODS Population-based cohort study performed in 17 adult ICUs in Alberta, Canada. Data were captured on hospitalizations, ambulatory care, physician services and drug dispenses occurring 1-year before and 1-year after index ICU admission. Strain was defined as occupancy ≥90%; with 21 additional definitions evaluated. Patients were categorized as strain and non-strain admissions. Costs attributable to strain, were calculated as difference-in-difference costs using propensity-score matching. RESULTS 30,557 patients were included (strain: 11,830 [38.7%]; non-strain: 18,727 [61.3%]). At 1-year, strain admissions had adjusted-incremental per-patient cost of CA$9406 (95%CI, $5654-13,157) compared to non-strain admissions, due to hospitalization costs (CA$7930; 95%CI, $4553-11,307) and physician claims (CA$844; 95%CI, $430-1259). This equated to CA$111.3 million (95%CI, $66.9-155.6 million) in excess attributable costs. Strain portended longer hospitalization (3.3 days; 95%CI, 1.1-5.5); and more ambulatory visits (1.0; 95%CI, 0.1-2.0) and physician claims (9.5; 95%CI, 6.2-12.7). Incremental costs were robust across strain definitions. CONCLUSIONS Admissions to ICUs experiencing strain incur incremental costs, attributed to longer hospitalization and physician services.
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Affiliation(s)
- Dat T Tran
- Institute of Health Economics, Edmonton, Alberta, Canada
| | - Nguyen X Thanh
- Institute of Health Economics, Edmonton, Alberta, Canada; School of Public Health, University of Alberta, Edmonton, Alberta, Canada
| | - Dawn Opgenorth
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada; Critical Care Strategic Clinical Network, Alberta Health Services, Edmonton, Alberta, Canada
| | - Xiaoming Wang
- Research Facilitation, Analytics (DIMR), Alberta Health Services, Edmonton, Canada
| | - Danny Zuege
- Critical Care Strategic Clinical Network, Alberta Health Services, Edmonton, Alberta, Canada; Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - David A Zygun
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Henry T Stelfox
- Critical Care Strategic Clinical Network, Alberta Health Services, Edmonton, Alberta, Canada; Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Sean M Bagshaw
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada; Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada; Critical Care Strategic Clinical Network, Alberta Health Services, Edmonton, Alberta, Canada.
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Intensive care in 2050: healthcare expenditure. Intensive Care Med 2017; 43:1141-1143. [PMID: 28150024 DOI: 10.1007/s00134-017-4679-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Accepted: 01/04/2017] [Indexed: 10/20/2022]
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Abstract
OBJECTIVES The majority of patients in India access private sector providers for curative medical services. However, there is scanty information on the cost of treatment of critically ill patients in this setting. The study evaluates the cost and extent of financial subsidy required for patients admitted to an intensive care unit (ICU) in India. METHODS Data on direct medical, direct nonmedical, and indirect cost were prospectively collected from critically ill patients admitted to a tertiary teaching hospital in India. Willingness-to-pay (WTP) amount was obtained from the next-of-kin following admission and the actual cost paid by the family at discharge was recorded. RESULTS The main diagnoses (n = 499) were infection (26 percent) and poisoning (21 percent). The mean APACHE-II score was 13.9 (95 percent confidence interval [CI], 13.3-14.5); 86 percent were ventilated. ICU stay was 7.8 days (95 percent CI, 7.3-8.3). Hospital mortality was 27.9 percent. Direct medical cost accounted for 77 percent (US$ 2164) of the total treatment cost (US$ 2818). Indirect cost and direct nonmedical cost contributed to 19 percent (US$ 547.5) and 4 percent (US$ 106.5), respectively. Average total and daily ICU cost were US$ 1,897 and US$ 255, respectively. Although the family's WTP was 53 percent (US$ 1146; 95 percent CI, 1090-1204) of direct medical cost, their final contribution was 67.7 percent (US$ 1465; 95 percent CI, 1327-1604). CONCLUSIONS The cost of an ICU admission in our setting is US$ 2818. Although the family's contribution to expenses exceeded their initial WTP, a substantial subsidy (33 percent) is still required. Alternate financing strategies for the poor and optimization of ICU resources are urgently required.
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Clinical performance and resource utilisation of a respiratory intensive care unit. Analysis of five years of clinical activity. REVISTA MÉDICA DEL HOSPITAL GENERAL DE MÉXICO 2016. [DOI: 10.1016/j.hgmx.2016.05.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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Shin P. Defensible Limits in Critical Care: An Ethical Analysis of a Recent Multisociety Policy Statement. THE AMERICAN JOURNAL OF BIOETHICS : AJOB 2016; 16:58-60. [PMID: 26734752 DOI: 10.1080/15265161.2015.1115153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Affiliation(s)
- Phillip Shin
- a North York General Hospital, University of Toronto
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