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Wang N, Zhuang W, Ran Z, Wan P, Fu J. Prediction of acute onset of chronic cor pulmonale: comparative analysis of Holt-Winters exponential smoothing and ARIMA model. BMC Med Res Methodol 2024; 24:204. [PMID: 39271998 PMCID: PMC11395557 DOI: 10.1186/s12874-024-02325-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 08/28/2024] [Indexed: 09/15/2024] Open
Abstract
BACKGROUND The aim of this study is to analyze the trend of acute onset of chronic cor pulmonale at Chenggong Hospital of Kunming Yan'an Hospital between January 2018 and December 2022.Additionally, the study will compare the application of the ARIMA model and Holt-Winters model in predicting the number of chronic cor pulmonale cases. METHODS The data on chronic cor pulmonale cases from 2018 to 2022 were collected from the electronic medical records system of Chenggong Hospital of Kunming Yan'an Hospital. The ARIMA and Holt-Winters models were constructed using monthly case numbers from January 2018 to December 2022 as training data. The performance of the model was tested using the monthly number of cases from January 2023 to December 2023 as the test set. RESULTS The number of acute onset of chronic cor pulmonale in Chenggong Hospital of Kunming Yan'an Hospital exhibited a downward trend overall from 2018 to 2022. There were more cases in winter and spring, with peaks observed in November to December and January of the following year. The optimal ARIMA model was determined to be ARIMA (0,1,1) (0,1,1)12, while for the Holt-Winters model, the optimal choice was the Holt-Winters multiplicative model. It was found that the Holt-Winters multiplicative model yielded the lowest error. CONCLUSION The Holt-Winters multiplicative model predicts better accuracy. The diagnosis of acute onset of chronic cor pulmonale is related to many risk factors, therefore, when using temporal models to fit and predict the data, we must consider such factors' influence and try to incorporate them into the models.
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Affiliation(s)
- Nan Wang
- Chenggong Hospital of Kunming Yan'an Hospital, Kunming, China.
| | - Weiyi Zhuang
- Chenggong Hospital of Kunming Yan'an Hospital, Kunming, China
| | - Zhen Ran
- Kunming Guandu District Center for Disease Control, Kunming, China
| | - Pinxi Wan
- Chenggong Hospital of Kunming Yan'an Hospital, Kunming, China
| | - Jian Fu
- Kunming Guandu District Center for Disease Control, Kunming, China
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2
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Phelps KB, Pliakas M, Coughlin AK, McKissic D, Rappaport L, Carlton EF. Optimizing Pediatric Rapid Response Teams: Stakeholder Focus Groups. Hosp Pediatr 2024; 14:766-772. [PMID: 39183668 PMCID: PMC11358595 DOI: 10.1542/hpeds.2023-007468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 04/24/2024] [Accepted: 04/26/2024] [Indexed: 08/27/2024]
Abstract
OBJECTIVES Rapid response teams (RRTs) can improve outcomes in both adult and pediatric hospitals. Most pediatric hospitals have RRT-type systems; however, little is known about stakeholders' perspectives regarding how to optimize RRT quality and efficiency. We aimed to better understand multidisciplinary stakeholder perspectives on how to improve the RRT process. METHODS We held 4 stakeholder focus groups including floor nurses, pediatric trainees (interns and residents), pediatric hospitalists, and the responding PICU team (PICU fellows and nurses). We used deductive coding to identify potential solutions and subsequent themes. RESULTS Focus groups identified 10 potential solutions within 3 major themes. Themes included (1) the value of a standardized RRT workflow based on stages, (2) the benefit of promoting a safety culture, and (3) the need to implement ongoing RRT education. Stakeholders described a shared mental model of RRT workflow with important events or tasks occurring within each stage. These stages were coded as 1: trigger, 2: team arrival and information sharing, 3: intervention, and 4: disposition and follow-up. Additional proposed solutions included waiting for the entire team to arrive, a systematic information sharing process, and closed loop communication for follow-up plans for patients remaining on the general care floor. CONCLUSIONS RRT stakeholder focus groups provide valuable insight into efforts to optimize RRT events. Standardizing RRT workflow into a staged process may facilitate communication and information sharing. Promoting a culture of safety and implementing ongoing education may help reinforce RRT standardization.
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Affiliation(s)
- Kayla B. Phelps
- Louisiana State University Health Sciences Center, Children’s Hospital of New Orleans, New Orleans, Louisiana
| | | | | | - Devin McKissic
- Division of Neonatology, Department of Pediatrics, University of Washington and Seattle Children's Hospital, Seattle, Washington
| | - Leah Rappaport
- Division of Pediatric Hospital Medicine, Department of Pediatrics, Boston Children’s Hospital, Boston, Massachusetts
| | - Erin F. Carlton
- Division of Pediatric Critical Care Medicine
- Susan B. Meister Child Health Evaluation and Research Center, University of Michigan School of Medicine, Ann Arbor, Michigan
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Honarmand K, Wax RS, Penoyer D, Lighthall G, Danesh V, Rochwerg B, Cheatham ML, Davis DP, DeVita M, Downar J, Edelson D, Fox-Robichaud A, Fujitani S, Fuller RM, Haskell H, Inada-Kim M, Jones D, Kumar A, Olsen KM, Rowley DD, Welch J, Baldisseri MR, Kellett J, Knowles H, Shipley JK, Kolb P, Wax SP, Hecht JD, Sebat F. Society of Critical Care Medicine Guidelines on Recognizing and Responding to Clinical Deterioration Outside the ICU: 2023. Crit Care Med 2024; 52:314-330. [PMID: 38240510 DOI: 10.1097/ccm.0000000000006072] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
RATIONALE Clinical deterioration of patients hospitalized outside the ICU is a source of potentially reversible morbidity and mortality. To address this, some acute care hospitals have implemented systems aimed at detecting and responding to such patients. OBJECTIVES To provide evidence-based recommendations for hospital clinicians and administrators to optimize recognition and response to clinical deterioration in non-ICU patients. PANEL DESIGN The 25-member panel included representatives from medicine, nursing, respiratory therapy, pharmacy, patient/family partners, and clinician-methodologists with expertise in developing evidence-based Clinical Practice Guidelines. METHODS We generated actionable questions using the Population, Intervention, Control, and Outcomes (PICO) format and performed a systematic review of the literature to identify and synthesize the best available evidence. We used the Grading of Recommendations Assessment, Development, and Evaluation Approach to determine certainty in the evidence and to formulate recommendations and good practice statements (GPSs). RESULTS The panel issued 10 statements on recognizing and responding to non-ICU patients with critical illness. Healthcare personnel and institutions should ensure that all vital sign acquisition is timely and accurate (GPS). We make no recommendation on the use of continuous vital sign monitoring among unselected patients. We suggest focused education for bedside clinicians in signs of clinical deterioration, and we also suggest that patient/family/care partners' concerns be included in decisions to obtain additional opinions and help (both conditional recommendations). We recommend hospital-wide deployment of a rapid response team or medical emergency team (RRT/MET) with explicit activation criteria (strong recommendation). We make no recommendation about RRT/MET professional composition or inclusion of palliative care members on the responding team but suggest that the skill set of responders should include eliciting patients' goals of care (conditional recommendation). Finally, quality improvement processes should be part of a rapid response system. CONCLUSIONS The panel provided guidance to inform clinicians and administrators on effective processes to improve the care of patients at-risk for developing critical illness outside the ICU.
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Affiliation(s)
- Kimia Honarmand
- Division of Critical Care, Department of Medicine, Mackenzie Health, Vaughan, ON, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Randy S Wax
- Department of Critical Care Medicine, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada
- Department of Critical Care, Lakeridge Health, Oshawa, ON, Canada
| | - Daleen Penoyer
- Center for Nursing Research and Advanced Nursing Practice, Orlando Health, Orlando, FL
| | - Geoffery Lighthall
- Department of Anesthesia, Pain, and Perioperative Medicine, Stanford University School of Medicine, Palo Alto, CA
- Veterans Affairs Medical Center, Palo Alto, CA
| | - Valerie Danesh
- Center for Applied Health Research, Baylor Scott and White Health, Dallas, TX
| | - Bram Rochwerg
- Division of Critical Care, Department of Medicine, Mackenzie Health, Vaughan, ON, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
- Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | - Michael L Cheatham
- Division of Surgical Education, Orlando Regional Medical Center, Orlando, FL
| | | | - Michael DeVita
- Columbia Vagelos College of Physicians and Surgeons, Department of Medicine Harlem Hospital Medical Center, New York City, NY
| | - James Downar
- Division of Critical Care, Department of Medicine, University Health Network, Toronto, ON, Canada
| | - Dana Edelson
- Division of Internal Medicine, Department of Medicine, University of Chicago Medical Center, Chicago, IL
| | - Alison Fox-Robichaud
- Division of Critical Care, Department of Internal Medicine, Thrombosis and Atherosclerosis Research Institute, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | - Shigeki Fujitani
- Division of Critical Care, Department of Emergency Medicine, Saint Marianna University, Kawasaki, Japan
| | - Raeann M Fuller
- Division of Trauma and Critical Care, Department of Emergency Medicine, Advocate Condell Medical Center, Libertyville, IL
| | | | - Matthew Inada-Kim
- Department of Acute Medicine, Hampshire Hospitals NHS Foundation Trust and University of Southampton, Southampton, United Kingdom
| | - Daryl Jones
- Division of Surgery, Department of Medicine, University of Melbourne, Melbourne, VIC, Australia
| | - Anand Kumar
- Division of Critical Care, Department of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Keith M Olsen
- University of Nebraska Medical Center, Nebraska Medical Center, Omaha, NE
| | - Daniel D Rowley
- Respiratory Therapy Services, University of Virginia Medical Center, Charlottesville, VA
| | - John Welch
- Critical Care Unit, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Marie R Baldisseri
- Department of Critical Care, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - John Kellett
- Department of Emergency Medicine, University of Southern Denmark, Odense, Denmark
| | - Heidi Knowles
- Department of Emergency Medicine, John Peter Smith Health Network, Fort Worth, TX
| | - Jonathan K Shipley
- Division of Critical Care, Vanderbilt University Medical Center, Nashville, TN
| | - Philipp Kolb
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada
- Department of Family Medicine, Dalhousie University, Halifax, ON, Canada
| | - Sophie P Wax
- Faculty of Health Sciences, Queen's University, Kingston, ON, Canada
| | - Jonathan D Hecht
- School of Nursing, The University of Texas at Austin, Austin, TX
| | - Frank Sebat
- Division of Internal Medicine, Mercy Medical Center, Redding, CA
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4
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Honarmand K, Wax RS, Penoyer D, Lighthall G, Danesh V, Rochwerg B, Cheatham ML, Davis DP, DeVita M, Downar J, Edelson D, Fox-Robichaud A, Fujitani S, Fuller RM, Haskell H, Inada-Kim M, Jones D, Kumar A, Olsen KM, Rowley DD, Welch J, Baldisseri MR, Kellett J, Knowles H, Shipley JK, Kolb P, Wax SP, Hecht JD, Sebat F. Executive Summary: Society of Critical Care Medicine Guidelines on Recognizing and Responding to Clinical Deterioration Outside the ICU. Crit Care Med 2024; 52:307-313. [PMID: 38240509 DOI: 10.1097/ccm.0000000000006071] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
RATIONALE Clinical deterioration of patients hospitalized outside the ICU is a source of potentially reversible morbidity and mortality. To address this, some acute care facilities have implemented systems aimed at detecting and responding to such patients. OBJECTIVES To provide evidence-based recommendations for hospital clinicians and administrators to optimize recognition and response to clinical deterioration in non-ICU patients. PANEL DESIGN The 25-member panel included representatives from medicine, nursing, respiratory therapy, pharmacy, patient/family partners, and clinician-methodologists with expertise in developing evidence-based clinical practice guidelines. METHODS We generated actionable questions using the Population, Intervention, Control, and Outcomes format and performed a systematic review of the literature to identify and synthesize the best available evidence. We used the Grading of Recommendations Assessment, Development, and Evaluation approach to determine certainty in the evidence and to formulate recommendations and good practice statements (GPSs). RESULTS The panel issued 10 statements on recognizing and responding to non-ICU patients with critical illness. Healthcare personnel and institutions should ensure that all vital sign acquisition is timely and accurate (GPS). We make no recommendation on the use of continuous vital sign monitoring among "unselected" patients due to the absence of data regarding the benefit and the potential harms of false positive alarms, the risk of alarm fatigue, and cost. We suggest focused education for bedside clinicians in signs of clinical deterioration, and we also suggest that patient/family/care partners' concerns be included in decisions to obtain additional opinions and help (both conditional recommendations). We recommend hospital-wide deployment of a rapid response team or medical emergency team (RRT/MET) with explicit activation criteria (strong recommendation). We make no recommendation about RRT/MET professional composition or inclusion of palliative care members on the responding team but suggest that the skill set of responders should include eliciting patients' goals of care (conditional recommendation). Finally, quality improvement processes should be part of a rapid response system (GPS). CONCLUSIONS The panel provided guidance to inform clinicians and administrators on effective processes to improve the care of patients at-risk for developing critical illness outside the ICU.
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Affiliation(s)
- Kimia Honarmand
- Division of Critical Care, Department of Medicine, Mackenzie Health, Vaughan, ON, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Randy S Wax
- Department of Critical Care Medicine, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada
- Department of Critical Care, Lakeridge Health, Oshawa, ON, Canada
| | - Daleen Penoyer
- Center for Nursing Research and Advanced Nursing Practice, Orlando Health, Orlando, FL
| | - Geoffery Lighthall
- Department of Anesthesia, Pain, and Perioperative Medicine, Stanford University School of Medicine, Palo Alto, CA
- Veterans Affairs Medical Center, Palo Alto, CA
| | - Valerie Danesh
- Center for Applied Health Research, Baylor Scott and White Health, Dallas, TX
| | - Bram Rochwerg
- Division of Critical Care, Department of Medicine, Mackenzie Health, Vaughan, ON, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
- Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | - Michael L Cheatham
- Department of Surgical Education, Orlando Regional Medical Center, Orlando, FL
| | | | - Michael DeVita
- Columbia Vagelos College of Physicians and Surgeons, Department of Medicine Harlem Hospital Medical Center, New York City, NY
| | - James Downar
- Division of Critical Care, Department of Medicine, University Health Network, Toronto, ON, Canada
| | - Dana Edelson
- Division of Internal Medicine, Department of Medicine, University of Chicago Medical Center, Chicago, IL
| | - Alison Fox-Robichaud
- Division of Critical Care, Department of Internal Medicine, Thrombosis and Atherosclerosis Research Institute, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | - Shigeki Fujitani
- Division of Critical Care, Department of Emergency Medicine, Saint Marianna University, Kawasaki, Japan
| | - Raeann M Fuller
- Division of Trauma and Critical Care, Department of Emergency Medicine, Advocate Condell Medical Center, Libertyville, IL
| | | | - Matthew Inada-Kim
- Department of Acute Medicine, Hampshire Hospitals NHS Foundation Trust and University of Southampton, Southampton, United Kingdom
| | - Daryl Jones
- Division of Surgery, Department of Medicine, University of Melbourne, Melbourne, VIC, Australia
| | - Anand Kumar
- Division of Critical Care, Department of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Keith M Olsen
- University of Nebraska Medical Center, Nebraska Medical Center, Omaha, NE
| | - Daniel D Rowley
- Respiratory Therapy Services, University of Virginia Medical Center, Charlottesville, VA
| | - John Welch
- Critical Care Unit, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Marie R Baldisseri
- Department of Critical Care, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - John Kellett
- Department of Emergency Medicine, University of Southern Denmark, Odense, Denmark
| | - Heidi Knowles
- Department of Emergency Medicine, John Peter Smith Health Network, Fort Worth, TX
| | - Jonathan K Shipley
- Division of Critical Care, Vanderbilt University Medical Center, Nashville, TN
| | - Philipp Kolb
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada
- Department of Family Medicine, Dalhousie University, Halifax, NS, Canada
| | - Sophie P Wax
- Faculty of Health Sciences, Queen's University, Kingston, ON, Canada
| | - Jonathan D Hecht
- School of Nursing, The University of Texas at Austin, Austin, TX
| | - Frank Sebat
- Division of Internal Medicine, Mercy Medical Center, Redding, CA
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5
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Jones D, Pearsell J, Wadeson E, See E, Bellomo R. Rapid Response System Components and In-Hospital Cardiac Arrests Rates 21 Years After Introduction Into an Australian Teaching Hospital. J Patient Saf 2023; 19:478-483. [PMID: 37493361 DOI: 10.1097/pts.0000000000001145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
OBJECTIVES The aims of the study are: (1) to evaluate the epidemiology of in-hospital cardiac arrests (IHCAs) 21 years after implementing a rapid response teams (RRTs); and (2) to summarize policies, procedures, and guidelines related to a national standard pertaining to recognition of and response to clinical deterioration in hospital. METHODS The study used a prospective audit of IHCA (commencement of external cardiac compressions) in ward areas between February 1, 2021, and January 31, 2022. Collation, summary, and presentation of material related to 8 "essential elements" of the Australian Commission for Safety and Quality in Health Care consensus statement on clinical deterioration. RESULTS There were 3739 RRT calls and 244 respond blue calls. There were 20 IHCAs in clinical areas, with only 10 occurring in general wards (0.36/1000 admissions). The median (interquartile range) age was 69.5 years (60-77 y), 90% were male, and comorbidities were relatively uncommon. Only 5 patients had a shockable rhythm. Survival was 65% overall, and 80% and 50% in patients on the cardiac and general wards, respectively. Only 4 patients had RRT criteria in the 24 hours before IHCA. A detailed summary is provided on policies and guidelines pertaining to measurement and documentation of vital signs, escalation of care, staffing and oversight of RRTs, communication for safety, education and training, as well as evaluation, audit, and feedback, which underpinned such findings. CONCLUSIONS In our mature RRT, IHCAs are very uncommon, and few are preventable. Many of the published barriers encountered in successful RRT use have been addressed by our policies and guidelines.
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Affiliation(s)
- Daryl Jones
- From the Department of Intensive Care and Deteriorating Patient Committee, Austin Health, Victoria, Australia
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6
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Ludikhuize J, Marshall D, Devchand M, Walker S, Talman A, Taylor C, McIntyre T, Trubiano J, Jones D. Improving the management of medical emergency team calls due to suspected infections: A before-after study. CRIT CARE RESUSC 2023; 25:136-139. [PMID: 37876370 PMCID: PMC10581256 DOI: 10.1016/j.ccrj.2023.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2023]
Abstract
Objective To introduce a management guideline for sepsis-related MET calls to increase lactate and blood culture acquisition, as well as prescription of appropriate antibiotics. Design Prospective before (Jun-Aug 2018) and after (Oct-Dec 2018) study was designed. Setting A public university linked hospital in Melbourne, Australia. Participants Adult patients with MET calls related to sepsis/infection were included. Main outcome measures The primary outcome measure was the proportion of MET calls during which both a blood culture and lactate level were ordered. Secondary outcomes included the frequency with which new antimicrobials were commenced by the MET, and the presence and class of administered antimicrobials. Results There were 985 and 955 MET calls in the baseline and after periods, respectively. Patient features, MET triggers, limitations of treatment and disposition after the MET call were similar in both groups. Compliance with the acquisition of lactates (p = 0.101), respectively. There was a slight reduction in compliance with lactate acquisition in the after period (97% vs 99%; p = 0.06). In contrast, there was a significant increase in acquisition of blood cultures in the after period (69% vs 78%; p = 0.035). Conclusions Introducing a sepsis management guideline and enhanced linkage with an AMS program increased blood culture acquisition and decreased broad spectrum antimicrobial use but didn't change in-hospital mortality.
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Affiliation(s)
- Jeroen Ludikhuize
- Austin Health, Department of Intensive Care Medicine in Heidelberg, Australia
- HagaZiekenhuis, Department of Intensive Care Medicine in the Hague, the Netherlands
- University Medical Center Amsterdam Location VuMC, Department of Acute Internal Medicine in Amsterdam, the Netherlands
| | - David Marshall
- Austin Health, Department of Intensive Care Medicine in Heidelberg, Australia
| | - Misha Devchand
- Austin Health, Department of Infectious Diseases in Heidelberg, Australia
- Austin Health, Department of Pharmacy in Heidelberg, Australia
| | - Steven Walker
- Austin Health, Department of Infectious Diseases in Heidelberg, Australia
| | - Andrew Talman
- Austin Health, Department of Intensive Care Medicine in Heidelberg, Australia
| | - Carmel Taylor
- Austin Health, Department of Intensive Care Medicine in Heidelberg, Australia
| | - Tammie McIntyre
- Austin Health, Department of Intensive Care Medicine in Heidelberg, Australia
| | - Jason Trubiano
- Austin Health, Department of Infectious Diseases in Heidelberg, Australia
| | - Daryl Jones
- Austin Health, Department of Intensive Care Medicine in Heidelberg, Australia
- The University of Melbourne, Department of Surgery in Melbourne, Australia
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Levkovich BJ, Orosz J, Bingham G, Cooper DJ, Dooley M, Kirkpatrick C, Jones DA. Medication-related Medical Emergency Team activations: a case review study of frequency and preventability. BMJ Qual Saf 2023; 32:214-224. [PMID: 35790383 DOI: 10.1136/bmjqs-2021-014185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 06/08/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVES Despite recognition of clinical deterioration and medication-related harm as patient safety risks, the frequency of medication-related Rapid Response System activations is undefined. We aimed to estimate the incidence and preventability of medication-related Medical Emergency Team (MET) activations and describe the associated adverse medication events. METHODS A case review study of consecutive MET activations at two acute, academic teaching hospitals in Melbourne, Australia with mature Rapid Response Systems was conducted. All MET activations during a 3-week study period were assessed for a medication cause including identification of the contributing adverse medication event and its preventability, using validated tools and recognised classification systems. RESULTS There were 9439 admissions and 628 MET activations during the study period. Of these, 146 (23.2%) MET activations were medication related: an incidence of 15.5 medication-related MET activation per 1000 admissions. Medication-related MET activations occurred a median of 46.6 hours earlier (IQR 22-165) in an admission than non-medication-related activations (p=0.001). Furthermore, this group also had more repeat MET activations during their admission (p=0.021, OR=1.68, 95% CI 1.09 to 2.59). A total of 92 of 146 (63%) medication-related MET activations were potentially preventable. Tachycardia due to omission of beta-blocking agents (10.9%, n=10 of 92) and hypotension due to cumulative toxicity (9.8%, n=9 of 92) or inappropriate use (10.9%, n=10 of 92) of antihypertensives were the most common adverse medication events leading to potentially preventable medication-related MET activations. CONCLUSIONS Medications contributed to almost a quarter of MET activations, often early in a patient's admission. One in seven MET activations were due to potentially preventable adverse medication events. The most common of these were omission of beta-blockers and clinically inappropriate antihypertensive use. Strategies to prevent these events would increase patient safety and reduce burden on the MET.
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Affiliation(s)
- Bianca J Levkovich
- Centre for Medicines Use and Safety, Monash University, Clayton, Victoria, Australia
- Pharmacy, Alfred Health, Melbourne, Victoria, Australia
| | - Judit Orosz
- Department of Intensive Care and Hyperbaric Medicine, The Alfred, Melbourne, Victoria, Australia
| | | | - D James Cooper
- Department of Intensive Care and Hyperbaric Medicine, The Alfred, Melbourne, Victoria, Australia
- Australia and New Zealand Intensive Care Research Centre, Monash University, Clayton, Victoria, Australia
| | - Michael Dooley
- Centre for Medicines Use and Safety, Monash University, Clayton, Victoria, Australia
- Pharmacy, Alfred Health, Melbourne, Victoria, Australia
| | - Carl Kirkpatrick
- Centre for Medicines Use and Safety, Monash University, Clayton, Victoria, Australia
| | - Daryl A Jones
- Australia and New Zealand Intensive Care Research Centre, Monash University, Clayton, Victoria, Australia
- Intensive Care Unit, Austin Hospital, Heidelberg, Victoria, Australia
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Pritchard ALM, Chin KL, Story DA, Smart P, Jones DA, See E, Nazareth JM. The epidemiology of rapid response team activation amongst patients undergoing major gastrointestinal surgery. Aust Crit Care 2022:S1036-7314(22)00059-5. [DOI: 10.1016/j.aucc.2022.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 04/16/2022] [Accepted: 04/19/2022] [Indexed: 10/18/2022] Open
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Wijesundera P, See EJ, Robbins R, Crosthwaite A, Smallwood D, Jones D, Bellomo R. Features, risk factors, and outcomes of older internal medicine patients triggering a medical emergency team call. Acta Anaesthesiol Scand 2022; 66:392-400. [PMID: 34875110 DOI: 10.1111/aas.14014] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 10/07/2021] [Accepted: 11/09/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Information about the epidemiology of older Internal Medicine patients receiving medical emergency team (MET) calls is limited. We assessed the prevalence, characteristics, risk factors, and outcomes of this vulnerable group. METHODS Internal Medicine patients aged >75 years who were admitted via the Emergency Department to a tertiary hospital between January 2015 to December 2018 and who activated a MET call were compared to patients without MET call activation during the same time period. Outcome measures included management post-MET call, Intensive Care Unit (ICU) admission rates, discharge disposition, length of hospital stays (LOS), and in-patient mortality. RESULTS There were 10,803 Internal Medical admissions involving 10,423 patients; median age 85 (IQR 81-89) years. Of these, 995 (10%) patients received at least one MET call. MET call patients had greater physiological instability in the Emergency Department and higher median Charlson comorbidity index values (2, IQR 1-3 vs. 1, IQR 0-2; p < .0001) than non-MET call patients. Overall, 10% of MET call patients were admitted to ICU. MET patients had a longer median length of stay (9 [IQR 5-14] vs. 4 days [IQR 2-7]; p < .001) and higher in-hospital mortality (29% vs. 7%; p < .001). However, mortality of MET call patients without treatment limitations was 48/357 (13%). CONCLUSION One in ten Internal Medicine patients aged >75 years and admitted via ED had a MET call. Physiological instability in ED and comorbidities were key risk factors. Mortality in MET patients approached 30%. These data can help predict at-risk patients for improving goals of care and pre-MET interventions.
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Affiliation(s)
- Piyumi Wijesundera
- Department of General Medicine Austin Hospital Melbourne Victoria Australia
| | - Emily J. See
- Intensive Care Unit Austin Hospital Melbourne Victoria Australia
| | - Raymond Robbins
- Data Analytics Research and Evaluation (DARE) Centre Austin Hospital Melbourne Victoria Australia
| | - Amy Crosthwaite
- Department of General Medicine Austin Hospital Melbourne Victoria Australia
| | - David Smallwood
- Department of General Medicine Austin Hospital Melbourne Victoria Australia
| | - Daryl Jones
- Intensive Care Unit Austin Hospital Melbourne Victoria Australia
| | - Rinaldo Bellomo
- Intensive Care Unit Austin Hospital Melbourne Victoria Australia
- Data Analytics Research and Evaluation (DARE) Centre Austin Hospital Melbourne Victoria Australia
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10
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Epidemiology and Prognostic Significance of Rapid Response System Activation in Patients Undergoing Liver Transplantation. J Clin Med 2021; 10:jcm10235680. [PMID: 34884382 PMCID: PMC8658097 DOI: 10.3390/jcm10235680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 11/19/2021] [Accepted: 12/01/2021] [Indexed: 11/23/2022] Open
Abstract
Patients undergoing liver transplantation have a high risk of perioperative clinical deterioration. The Rapid Response System is an intensive care unit-based approach for the early recognition and management of hospitalized patients identified as high-risk for clinical deterioration by a medical emergency team (MET). The etiology and prognostic significance of clinical deterioration events is poorly understood in liver transplant patients. We conducted a cohort study of 381 consecutive adult liver transplant recipients from a prospectively collected transplant database (2011–2017). Medical records identified patients who received MET activation pre- and post-transplantation. MET activation was recorded in 131 (34%) patients, with 266 MET activations in total. The commonest triggers for MET activation were tachypnea and hypotension pre-transplantation, and tachycardia post-transplantation. In multivariable analysis, female sex, increasing Model for End-Stage Liver Disease score and hepatorenal syndrome were independently associated with MET activation. The unplanned intensive care unit admission rate following MET activation was 24.1%. Inpatient mortality was 4.2% and did not differ by MET activation status; however, patients requiring MET activation had significantly longer intensive care unit and hospital length of stay and were more likely to require inpatient rehabilitation. In conclusion, liver transplant patients with perioperative complications requiring MET activation represent a high-risk group with increased morbidity and length of stay.
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Dauwe V, Poitras MÈ, Roberge V. Quels sont le fonctionnement, les caractéristiques, les effets et les modalités d’implantation des équipes d’intervention rapide ? Une revue de la littérature. Rech Soins Infirm 2021:62-75. [PMID: 33485285 DOI: 10.3917/rsi.143.0062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Introduction : Hospitalized patients are at risk of unrecognized clinical deterioration that may lead to adverse events.Context : Rapid Response Teams (RRTs) exist around the world as a strategy to improve patient safety.Objective : To explore how RRTs work, their characteristics, impacts, and methods of implementation.Design : Literature review.Method : Consultation of the databases CINAHL, MEDLINE, PUBMED, COCHRANE library, SCOPUS, and PROQUEST Dissertations and Theses. Keywords : “health care team” and “rapid response team”.Results : 121 articles were included. The collected data were divided into five categories : 1) composition and operation of RRTs, 2) benefits and limitations of RRTs, 3) perceptions of RRTs by health care teams, organizations, and patients, 4) implementation strategies, and 5) facilitators and barriers to implementation.Discussion : Although there are many articles related to RRTs, it appears that : 1) few studies analyze the difference in outcomes in hospitalized patients related to the composition of RRTs, 2) few studies describe how RRTs should work, 3) more studies are needed on the impacts of RRTs on hospitalized patients, 4) organizations’ and patients’ perceptions of RRTs are not well studied, and 5) more studies are needed on the best way to implement an RRT.Conclusion : The results show that there is a lack of studies on the difference in outcomes in hospitalized patients related to the composition of RRTs, on how RRTs should work, on the impacts of RRTs on hospitalized patients, on organizations’ and patients’ perceptions of RRTs, and on the factors that influence the success or failure of the implementation of an RRT.
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Zhang R, Maher B, Ramos JGR, Hardidge A, Olenko L, Weinberg L, Robbins R, Churilov L, Peyton P, Jones D. The epidemiology of Medical Emergency Team calls for orthopedic patients in a teaching hospital: A retrospective cohort study. Resuscitation 2020; 159:1-6. [PMID: 33347940 DOI: 10.1016/j.resuscitation.2020.12.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 10/31/2020] [Accepted: 12/04/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND Patients undergoing orthopedic surgery are at risk of post-operative complications and needing Medical Emergency Team (MET) review. We assessed the frequency of, and associations with MET calls in orthopedic patients, and whether this was associated with increased in-hospital morbidity and mortality. METHODS Retrospective cohort study of patients admitted over four years to a University teaching hospital using hospital administrative and MET call databases. RESULTS Amongst 6344 orthopedic patients, 55.8% were female, the median (IQR) age and Charlson comorbidity index were 66 years (47-79) and 3 (1-5), respectively. Overall, 54.5% of admissions were emergency admissions, 1130 (17.8%) were non-operative, and 605 (9.5%) patients received a MET call. The strongest independent associations with receiving a MET call was the operative procedure, especially hip and knee arthroplasty. Common MET triggers were hypotension (37.5%), tachycardia (25.0%) and tachypnoea (9.1%). Patients receiving a MET call were at increased risk of anemia, delirium, pressure injury, renal failure and wound infection. The mortality of patients who received a MET call was 9.8% compared with 0.8% for those who did not. After adjusting for pre-defined co-variates, requirement for a MET call was associated with an adjusted odd-ratio of 9.57 (95%CI 3.1-29.7) for risk of in-hospital death. CONCLUSIONS Approximately 10% of orthopedic patients received a MET call, which was most strongly associated with major hip and knee arthroplasty. Such patients are at increased risk of morbidity and in-hospital mortality. Further strategies are needed to more pro-actively manage at-risk orthopedic patients.
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Affiliation(s)
- R Zhang
- Department of Orthopedic Surgery, Austin Health, Heidelberg, Victoria 3084, Australia
| | - B Maher
- Department of Orthopedic Surgery, Austin Health, Heidelberg, Victoria 3084, Australia
| | - J G R Ramos
- Intensive Care Unit, Hospital Sao Rafael, Salvador, & UNIME Medical School, Lauro de Freitas, Brazil
| | - A Hardidge
- Department of Orthopedic Surgery, Austin Health, Heidelberg, Victoria 3084, Australia
| | - L Olenko
- Florey Institute of Neuroscience and Mental Health-Melbourne Brain Centre, Heidelberg, Victoria 3084, Australia
| | - L Weinberg
- Department of Anaesthesia, Austin Hospital, Australia; Department of Surgery, University of Melbourne, Australia; Perioperative and Pain Medicine Unit, University of Melbourne, Australia
| | - R Robbins
- Data Analytics, Research, and Evaluation (DARE) Centre, Austin Health, Heidelberg, Victoria 3084, Australia
| | - L Churilov
- Department of Medicine (Austin Health), Australia
| | - P Peyton
- Department of Anaesthesia, Austin Hospital, Australia; Department of Surgery, University of Melbourne, Australia; Perioperative and Pain Medicine Unit, University of Melbourne, Australia
| | - D Jones
- Department of Surgery, University of Melbourne, Australia; Department of Intensive Care, Austin Health, Studley Road, Heidelberg, Victoria 3084, Australia.
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Tran A, Fernando SM, McIsaac DI, Rochwerg B, Mok G, Seely AJE, Kubelik D, Inaba K, Kim DY, Reardon PM, Shen J, Tanuseputro P, Thavorn K, Kyeremanteng K. Predictors of mortality and cost among surgical patients requiring rapid response team activation. Can J Surg 2020; 63:E598-E605. [PMID: 33295715 DOI: 10.1503/cjs.017319] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Abstract
Background Prior studies of rapid response team (RRT) implementation for surgical patients have demonstrated mixed results with respect to reductions in poor outcomes. The aim of this study was to identify predictors of in-hospital mortality and hospital costs among surgical inpatients requiring RRT activation. Methods We analyzed data prospectively collected from May 2012 to May 2016 at The Ottawa Hospital. We included patients who were at least 18 years of age, who were admitted to hospital, who received either preoperative or postoperative care, and and who required RRT activation. We created a multivariable logistic regression model to describe mortality predictors and a multivariable generalized linear model to describe cost predictors. Results We included 1507 patients. The in-hospital mortality rate was 15.9%. The patient-related factors most strongly associated with mortality included an Elixhauser Comorbidity Index score of 20 or higher (odds ratio [OR] 3.60, 95% confidence interval [CI] 1.96-6.60) and care designations excluding admission to the intensive care unit and cardiopulmonary resuscitation (OR 3.52, 95% CI 2.25-5.52). The strongest surgical predictors included neurosurgical admission (OR 2.09, 95% CI 1.17-3.75), emergent surgery (OR 2.04, 95% CI 1.37-3.03) and occurrence of 2 or more operations (OR 1.73, 95% CI 1.21-2.46). Among RRT factors, occurrence of 2 or more RRT assessments (OR 2.01, 95% CI 1.44-2.80) conferred the highest mortality. Increased cost was strongly associated with admitting service, multiple surgeries, multiple RRT assessments and medical comorbidity. Conclusion RRT activation among surgical inpatients identifies a population at high risk of death. We identified several predictors of mortality and cost, which represent opportunities for future quality improvement and patient safety initiatives.
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Affiliation(s)
- Alexandre Tran
- From the Department of Surgery, University of Ottawa, Ottawa, Ont. (Tran, Seely, Kubelik); the Division of Critical Care Medicine, Department of Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Seely, Kubelik, Reardon, Kyeremanteng); the Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ont. (Tran, McIsaac, Seely, Shen, Tanuseputro, Thavorn, Kyeremanteng); the Department of Emergency Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Mok, Reardon); the Department of Anesthesiology and Pain Medicine, University of Ottawa, Ottawa, Ont. (McIsaac); the School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ont. (McIsaac, Seely, Tanuseputro, Thavorn); the Department of Medicine, Division of Critical Care, McMaster University, Hamilton, Ont. (Rochwerg); the Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ont. (Rochwerg); the Division of Acute Care Surgery, Department of Surgery, University of Southern California, Los Angeles, Calif. (Inaba); the Department of Surgery, University of California, Los Angeles, Calif. (Kim); the Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ont. (Tanuseputro, Kyeremanteng); and the Institut du Savoir Montfort, Ottawa, Ont. (Kyeremanteng)
| | - Shannon M Fernando
- From the Department of Surgery, University of Ottawa, Ottawa, Ont. (Tran, Seely, Kubelik); the Division of Critical Care Medicine, Department of Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Seely, Kubelik, Reardon, Kyeremanteng); the Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ont. (Tran, McIsaac, Seely, Shen, Tanuseputro, Thavorn, Kyeremanteng); the Department of Emergency Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Mok, Reardon); the Department of Anesthesiology and Pain Medicine, University of Ottawa, Ottawa, Ont. (McIsaac); the School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ont. (McIsaac, Seely, Tanuseputro, Thavorn); the Department of Medicine, Division of Critical Care, McMaster University, Hamilton, Ont. (Rochwerg); the Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ont. (Rochwerg); the Division of Acute Care Surgery, Department of Surgery, University of Southern California, Los Angeles, Calif. (Inaba); the Department of Surgery, University of California, Los Angeles, Calif. (Kim); the Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ont. (Tanuseputro, Kyeremanteng); and the Institut du Savoir Montfort, Ottawa, Ont. (Kyeremanteng)
| | - Daniel I McIsaac
- From the Department of Surgery, University of Ottawa, Ottawa, Ont. (Tran, Seely, Kubelik); the Division of Critical Care Medicine, Department of Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Seely, Kubelik, Reardon, Kyeremanteng); the Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ont. (Tran, McIsaac, Seely, Shen, Tanuseputro, Thavorn, Kyeremanteng); the Department of Emergency Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Mok, Reardon); the Department of Anesthesiology and Pain Medicine, University of Ottawa, Ottawa, Ont. (McIsaac); the School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ont. (McIsaac, Seely, Tanuseputro, Thavorn); the Department of Medicine, Division of Critical Care, McMaster University, Hamilton, Ont. (Rochwerg); the Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ont. (Rochwerg); the Division of Acute Care Surgery, Department of Surgery, University of Southern California, Los Angeles, Calif. (Inaba); the Department of Surgery, University of California, Los Angeles, Calif. (Kim); the Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ont. (Tanuseputro, Kyeremanteng); and the Institut du Savoir Montfort, Ottawa, Ont. (Kyeremanteng)
| | - Bram Rochwerg
- From the Department of Surgery, University of Ottawa, Ottawa, Ont. (Tran, Seely, Kubelik); the Division of Critical Care Medicine, Department of Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Seely, Kubelik, Reardon, Kyeremanteng); the Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ont. (Tran, McIsaac, Seely, Shen, Tanuseputro, Thavorn, Kyeremanteng); the Department of Emergency Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Mok, Reardon); the Department of Anesthesiology and Pain Medicine, University of Ottawa, Ottawa, Ont. (McIsaac); the School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ont. (McIsaac, Seely, Tanuseputro, Thavorn); the Department of Medicine, Division of Critical Care, McMaster University, Hamilton, Ont. (Rochwerg); the Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ont. (Rochwerg); the Division of Acute Care Surgery, Department of Surgery, University of Southern California, Los Angeles, Calif. (Inaba); the Department of Surgery, University of California, Los Angeles, Calif. (Kim); the Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ont. (Tanuseputro, Kyeremanteng); and the Institut du Savoir Montfort, Ottawa, Ont. (Kyeremanteng)
| | - Garrick Mok
- From the Department of Surgery, University of Ottawa, Ottawa, Ont. (Tran, Seely, Kubelik); the Division of Critical Care Medicine, Department of Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Seely, Kubelik, Reardon, Kyeremanteng); the Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ont. (Tran, McIsaac, Seely, Shen, Tanuseputro, Thavorn, Kyeremanteng); the Department of Emergency Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Mok, Reardon); the Department of Anesthesiology and Pain Medicine, University of Ottawa, Ottawa, Ont. (McIsaac); the School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ont. (McIsaac, Seely, Tanuseputro, Thavorn); the Department of Medicine, Division of Critical Care, McMaster University, Hamilton, Ont. (Rochwerg); the Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ont. (Rochwerg); the Division of Acute Care Surgery, Department of Surgery, University of Southern California, Los Angeles, Calif. (Inaba); the Department of Surgery, University of California, Los Angeles, Calif. (Kim); the Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ont. (Tanuseputro, Kyeremanteng); and the Institut du Savoir Montfort, Ottawa, Ont. (Kyeremanteng)
| | - Andrew J E Seely
- From the Department of Surgery, University of Ottawa, Ottawa, Ont. (Tran, Seely, Kubelik); the Division of Critical Care Medicine, Department of Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Seely, Kubelik, Reardon, Kyeremanteng); the Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ont. (Tran, McIsaac, Seely, Shen, Tanuseputro, Thavorn, Kyeremanteng); the Department of Emergency Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Mok, Reardon); the Department of Anesthesiology and Pain Medicine, University of Ottawa, Ottawa, Ont. (McIsaac); the School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ont. (McIsaac, Seely, Tanuseputro, Thavorn); the Department of Medicine, Division of Critical Care, McMaster University, Hamilton, Ont. (Rochwerg); the Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ont. (Rochwerg); the Division of Acute Care Surgery, Department of Surgery, University of Southern California, Los Angeles, Calif. (Inaba); the Department of Surgery, University of California, Los Angeles, Calif. (Kim); the Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ont. (Tanuseputro, Kyeremanteng); and the Institut du Savoir Montfort, Ottawa, Ont. (Kyeremanteng)
| | - Dalibor Kubelik
- From the Department of Surgery, University of Ottawa, Ottawa, Ont. (Tran, Seely, Kubelik); the Division of Critical Care Medicine, Department of Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Seely, Kubelik, Reardon, Kyeremanteng); the Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ont. (Tran, McIsaac, Seely, Shen, Tanuseputro, Thavorn, Kyeremanteng); the Department of Emergency Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Mok, Reardon); the Department of Anesthesiology and Pain Medicine, University of Ottawa, Ottawa, Ont. (McIsaac); the School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ont. (McIsaac, Seely, Tanuseputro, Thavorn); the Department of Medicine, Division of Critical Care, McMaster University, Hamilton, Ont. (Rochwerg); the Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ont. (Rochwerg); the Division of Acute Care Surgery, Department of Surgery, University of Southern California, Los Angeles, Calif. (Inaba); the Department of Surgery, University of California, Los Angeles, Calif. (Kim); the Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ont. (Tanuseputro, Kyeremanteng); and the Institut du Savoir Montfort, Ottawa, Ont. (Kyeremanteng)
| | - Kenji Inaba
- From the Department of Surgery, University of Ottawa, Ottawa, Ont. (Tran, Seely, Kubelik); the Division of Critical Care Medicine, Department of Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Seely, Kubelik, Reardon, Kyeremanteng); the Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ont. (Tran, McIsaac, Seely, Shen, Tanuseputro, Thavorn, Kyeremanteng); the Department of Emergency Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Mok, Reardon); the Department of Anesthesiology and Pain Medicine, University of Ottawa, Ottawa, Ont. (McIsaac); the School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ont. (McIsaac, Seely, Tanuseputro, Thavorn); the Department of Medicine, Division of Critical Care, McMaster University, Hamilton, Ont. (Rochwerg); the Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ont. (Rochwerg); the Division of Acute Care Surgery, Department of Surgery, University of Southern California, Los Angeles, Calif. (Inaba); the Department of Surgery, University of California, Los Angeles, Calif. (Kim); the Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ont. (Tanuseputro, Kyeremanteng); and the Institut du Savoir Montfort, Ottawa, Ont. (Kyeremanteng)
| | - Dennis Y Kim
- From the Department of Surgery, University of Ottawa, Ottawa, Ont. (Tran, Seely, Kubelik); the Division of Critical Care Medicine, Department of Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Seely, Kubelik, Reardon, Kyeremanteng); the Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ont. (Tran, McIsaac, Seely, Shen, Tanuseputro, Thavorn, Kyeremanteng); the Department of Emergency Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Mok, Reardon); the Department of Anesthesiology and Pain Medicine, University of Ottawa, Ottawa, Ont. (McIsaac); the School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ont. (McIsaac, Seely, Tanuseputro, Thavorn); the Department of Medicine, Division of Critical Care, McMaster University, Hamilton, Ont. (Rochwerg); the Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ont. (Rochwerg); the Division of Acute Care Surgery, Department of Surgery, University of Southern California, Los Angeles, Calif. (Inaba); the Department of Surgery, University of California, Los Angeles, Calif. (Kim); the Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ont. (Tanuseputro, Kyeremanteng); and the Institut du Savoir Montfort, Ottawa, Ont. (Kyeremanteng)
| | - Peter M Reardon
- From the Department of Surgery, University of Ottawa, Ottawa, Ont. (Tran, Seely, Kubelik); the Division of Critical Care Medicine, Department of Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Seely, Kubelik, Reardon, Kyeremanteng); the Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ont. (Tran, McIsaac, Seely, Shen, Tanuseputro, Thavorn, Kyeremanteng); the Department of Emergency Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Mok, Reardon); the Department of Anesthesiology and Pain Medicine, University of Ottawa, Ottawa, Ont. (McIsaac); the School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ont. (McIsaac, Seely, Tanuseputro, Thavorn); the Department of Medicine, Division of Critical Care, McMaster University, Hamilton, Ont. (Rochwerg); the Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ont. (Rochwerg); the Division of Acute Care Surgery, Department of Surgery, University of Southern California, Los Angeles, Calif. (Inaba); the Department of Surgery, University of California, Los Angeles, Calif. (Kim); the Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ont. (Tanuseputro, Kyeremanteng); and the Institut du Savoir Montfort, Ottawa, Ont. (Kyeremanteng)
| | - Jennifer Shen
- From the Department of Surgery, University of Ottawa, Ottawa, Ont. (Tran, Seely, Kubelik); the Division of Critical Care Medicine, Department of Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Seely, Kubelik, Reardon, Kyeremanteng); the Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ont. (Tran, McIsaac, Seely, Shen, Tanuseputro, Thavorn, Kyeremanteng); the Department of Emergency Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Mok, Reardon); the Department of Anesthesiology and Pain Medicine, University of Ottawa, Ottawa, Ont. (McIsaac); the School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ont. (McIsaac, Seely, Tanuseputro, Thavorn); the Department of Medicine, Division of Critical Care, McMaster University, Hamilton, Ont. (Rochwerg); the Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ont. (Rochwerg); the Division of Acute Care Surgery, Department of Surgery, University of Southern California, Los Angeles, Calif. (Inaba); the Department of Surgery, University of California, Los Angeles, Calif. (Kim); the Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ont. (Tanuseputro, Kyeremanteng); and the Institut du Savoir Montfort, Ottawa, Ont. (Kyeremanteng)
| | - Peter Tanuseputro
- From the Department of Surgery, University of Ottawa, Ottawa, Ont. (Tran, Seely, Kubelik); the Division of Critical Care Medicine, Department of Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Seely, Kubelik, Reardon, Kyeremanteng); the Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ont. (Tran, McIsaac, Seely, Shen, Tanuseputro, Thavorn, Kyeremanteng); the Department of Emergency Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Mok, Reardon); the Department of Anesthesiology and Pain Medicine, University of Ottawa, Ottawa, Ont. (McIsaac); the School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ont. (McIsaac, Seely, Tanuseputro, Thavorn); the Department of Medicine, Division of Critical Care, McMaster University, Hamilton, Ont. (Rochwerg); the Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ont. (Rochwerg); the Division of Acute Care Surgery, Department of Surgery, University of Southern California, Los Angeles, Calif. (Inaba); the Department of Surgery, University of California, Los Angeles, Calif. (Kim); the Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ont. (Tanuseputro, Kyeremanteng); and the Institut du Savoir Montfort, Ottawa, Ont. (Kyeremanteng)
| | - Kednapa Thavorn
- From the Department of Surgery, University of Ottawa, Ottawa, Ont. (Tran, Seely, Kubelik); the Division of Critical Care Medicine, Department of Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Seely, Kubelik, Reardon, Kyeremanteng); the Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ont. (Tran, McIsaac, Seely, Shen, Tanuseputro, Thavorn, Kyeremanteng); the Department of Emergency Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Mok, Reardon); the Department of Anesthesiology and Pain Medicine, University of Ottawa, Ottawa, Ont. (McIsaac); the School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ont. (McIsaac, Seely, Tanuseputro, Thavorn); the Department of Medicine, Division of Critical Care, McMaster University, Hamilton, Ont. (Rochwerg); the Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ont. (Rochwerg); the Division of Acute Care Surgery, Department of Surgery, University of Southern California, Los Angeles, Calif. (Inaba); the Department of Surgery, University of California, Los Angeles, Calif. (Kim); the Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ont. (Tanuseputro, Kyeremanteng); and the Institut du Savoir Montfort, Ottawa, Ont. (Kyeremanteng)
| | - Kwadwo Kyeremanteng
- From the Department of Surgery, University of Ottawa, Ottawa, Ont. (Tran, Seely, Kubelik); the Division of Critical Care Medicine, Department of Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Seely, Kubelik, Reardon, Kyeremanteng); the Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ont. (Tran, McIsaac, Seely, Shen, Tanuseputro, Thavorn, Kyeremanteng); the Department of Emergency Medicine, University of Ottawa, Ottawa, Ont. (Fernando, Mok, Reardon); the Department of Anesthesiology and Pain Medicine, University of Ottawa, Ottawa, Ont. (McIsaac); the School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ont. (McIsaac, Seely, Tanuseputro, Thavorn); the Department of Medicine, Division of Critical Care, McMaster University, Hamilton, Ont. (Rochwerg); the Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ont. (Rochwerg); the Division of Acute Care Surgery, Department of Surgery, University of Southern California, Los Angeles, Calif. (Inaba); the Department of Surgery, University of California, Los Angeles, Calif. (Kim); the Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ont. (Tanuseputro, Kyeremanteng); and the Institut du Savoir Montfort, Ottawa, Ont. (Kyeremanteng)
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Bavare AC, Bracken JA, Guffey D, Graf JM, Thomas JK. Comparison of Rapid-Response Systems Across Multisite Locations of a Pediatric Hospital System. Hosp Pediatr 2020; 10:563-569. [PMID: 32601053 DOI: 10.1542/hpeds.2019-0280] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
OBJECTIVES Rapid response (RR) systems reduce mortality and cardiopulmonary arrests outside the ICU. Patient characteristics, RR practices, and hospital context and/or mechanism influence post-RR outcomes. We aim to describe and compare RR function and outcomes within our institution's multiple sites. METHODS We conducted a 3-year retrospective study to compare RR use, clinical characteristics, and outcomes between our hospital's central campus (CC) and 2 satellite campuses (SCs). RR training and procedures are uniform across all campuses. RESULTS Among the 2935 RRs reviewed, 1816 occurred during index admissions at the CC and 405 occurred at SCs. CC, when compared with SCs, had higher age at RR (3.2 years vs 1.4 years), prevalence of complex chronic conditions (62.4% vs 34.4%), surgical complications (20.2% vs 5%), severity of illness, and risk of mortality (P < .001). CC had higher daytime RR activations, longer time from admission to RR, and more activations by nurses (P < .001). Respiratory diagnoses were most prevalent uniformly, but cardiac, neurologic, and hematologic diagnoses were higher at CC (P < .001). Cardiac and/or respiratory arrests during RR and transfers to the ICU were similar. Cardiorespiratory interventions post-RR, hospital length of stay, and mortality were higher and ICU stay was shorter (P < .01) in the CC. Outcomes were mainly affected by patient characteristics and not RR factors on multivariate analysis. CONCLUSIONS Patient illness severity, RR characteristics, and outcomes are significantly different in our multisite locations. Outcomes are predominantly affected by patient severity and not RR characteristics. Standardized RR training and procedures likely balance the effect of varying RR characteristics on eventual outcomes.
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Affiliation(s)
- Aarti C Bavare
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas; and
- Texas Children's Hospital, Houston, Texas
| | | | - Danielle Guffey
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas; and
| | - Jeanine M Graf
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas; and
- Texas Children's Hospital, Houston, Texas
| | - Jenilea K Thomas
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas; and
- Texas Children's Hospital, Houston, Texas
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Yang E, Lee H, Lee SM, Kim S, Ryu HG, Lee HJ, Lee J, Oh SY. Effectiveness of a daytime rapid response system in hospitalized surgical ward patients. Acute Crit Care 2020; 35:77-86. [PMID: 32506872 PMCID: PMC7280793 DOI: 10.4266/acc.2019.00661] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 02/15/2020] [Indexed: 11/30/2022] Open
Abstract
Background Clinical deteriorations during hospitalization are often preventable with a rapid response system (RRS). We aimed to investigate the effectiveness of a daytime RRS for surgical hospitalized patients. Methods A retrospective cohort study was conducted in 20 general surgical wards at a 1,779-bed University hospital from August 2013 to July 2017 (August 2013 to July 2015, pre-RRS-period; August 2015 to July 2017, post-RRS-period). The primary outcome was incidence of cardiopulmonary arrest (CPA) when the RRS was operating. The secondary outcomes were the incidence of total and preventable cardiopulmonary arrest, in-hospital mortality, the percentage of “do not resuscitate” orders, and the survival of discharged CPA patients. Results The relative risk (RR) of CPA per 1,000 admissions during RRS operational hours (weekdays from 7 AM to 7 PM) in the post-RRS-period compared to the pre-RRS-period was 0.53 (95% confidence interval [CI], 0.25 to 1.13; P=0.099) and the RR of total CPA regardless of RRS operating hours was 0.76 (95% CI, 0.46 to 1.28; P=0.301). The preventable CPA after RRS implementation was significantly lower than that before RRS implementation (RR, 0.31; 95% CI, 0.11 to 0.88; P=0.028). There were no statistical differences in in-hospital mortality and the survival rate of patients with in-hospital cardiac arrest. Do-not-resuscitate decisions significantly increased during after RRS implementation periods compared to pre-RRS periods (RR, 1.91; 95% CI, 1.40 to 2.59; P<0.001). Conclusions The day-time implementation of the RRS did not significantly reduce the rate of CPA whereas the system effectively reduced the rate of preventable CPA during periods when the system was operating.
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Affiliation(s)
- Eunjin Yang
- College of Nursing, Seoul National University, Seoul, Korea
| | - Hannah Lee
- Rapid Response Team, Seoul National University Hospital, Seoul, Korea.,Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Korea
| | - Sang-Min Lee
- Rapid Response Team, Seoul National University Hospital, Seoul, Korea.,Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Sulhee Kim
- Rapid Response Team, Seoul National University Hospital, Seoul, Korea
| | - Ho Geol Ryu
- Rapid Response Team, Seoul National University Hospital, Seoul, Korea.,Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Korea
| | - Hyun Joo Lee
- Rapid Response Team, Seoul National University Hospital, Seoul, Korea.,Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, Korea
| | - Jinwoo Lee
- Rapid Response Team, Seoul National University Hospital, Seoul, Korea.,Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Seung-Young Oh
- Rapid Response Team, Seoul National University Hospital, Seoul, Korea.,Department of Surgery, Seoul National University Hospital, Seoul, Korea
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16
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Early Warning Signs and Rapid Response on the Nursing Floor-Can We Do More? Int Anesthesiol Clin 2020; 57:61-74. [PMID: 30864991 DOI: 10.1097/aia.0000000000000228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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17
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Bergmeir C, Bilgrami I, Bain C, Webb GI, Orosz J, Pilcher D. Designing a more efficient, effective and safe Medical Emergency Team (MET) service using data analysis. PLoS One 2017; 12:e0188688. [PMID: 29281665 PMCID: PMC5744916 DOI: 10.1371/journal.pone.0188688] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2017] [Accepted: 11/10/2017] [Indexed: 11/25/2022] Open
Abstract
Introduction Hospitals have seen a rise in Medical Emergency Team (MET) reviews. We hypothesised that the commonest MET calls result in similar treatments. Our aim was to design a pre-emptive management algorithm that allowed direct institution of treatment to patients without having to wait for attendance of the MET team and to model its potential impact on MET call incidence and patient outcomes. Methods Data was extracted for all MET calls from the hospital database. Association rule data mining techniques were used to identify the most common combinations of MET call causes, outcomes and therapies. Results There were 13,656 MET calls during the 34-month study period in 7936 patients. The most common MET call was for hypotension [31%, (2459/7936)]. These MET calls were strongly associated with the immediate administration of intra-venous fluid (70% [1714/2459] v 13% [739/5477] p<0.001), unless the patient was located on a respiratory ward (adjusted OR 0.41 [95%CI 0.25–0.67] p<0.001), had a cardiac cause for admission (adjusted OR 0.61 [95%CI 0.50–0.75] p<0.001) or was under the care of the heart failure team (adjusted OR 0.29 [95%CI 0.19–0.42] p<0.001). Modelling the effect of a pre-emptive management algorithm for immediate fluid administration without MET activation on data from a test period of 24 months following the study period, suggested it would lead to a 68.7% (2541/3697) reduction in MET calls for hypotension and a 19.6% (2541/12938) reduction in total METs without adverse effects on patients. Conclusion Routinely collected data and analytic techniques can be used to develop a pre-emptive management algorithm to administer intravenous fluid therapy to a specific group of hypotensive patients without the need to initiate a MET call. This could both lead to earlier treatment for the patient and less total MET calls.
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Affiliation(s)
- Christoph Bergmeir
- Faculty of Information Technology, Monash University, Clayton, Australia
- * E-mail:
| | - Irma Bilgrami
- Intensive Care Specialist, Departments of Anaesthesia, Intensive Care and Pain Management, Western Health, Gordon Street, Footscray, Vic, Australia
| | - Christopher Bain
- Faculty of Information Technology, Monash University, Clayton, Australia
| | - Geoffrey I. Webb
- Faculty of Information Technology, Monash University, Clayton, Australia
| | - Judit Orosz
- Department of Intensive Care Medicine, Commercial Road, The Alfred Hospital, Prahran, Vic, Australia
- The Australian and New Zealand Intensive Care (ANZIC)–Research Centre, School of Public Health and Preventive Medicine, Monash University, Prahran, Vic, Australia
| | - David Pilcher
- Department of Intensive Care Medicine, Commercial Road, The Alfred Hospital, Prahran, Vic, Australia
- The Australian and New Zealand Intensive Care (ANZIC)–Research Centre, School of Public Health and Preventive Medicine, Monash University, Prahran, Vic, Australia
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Joshi K, Campbell V, Landy M, Anstey CM, Gooch R. The Effect of Rapid Response System Revision on Standard and Specific Intensive Care Unit Outcomes in a Regional Hospital. Anaesth Intensive Care 2017; 45:369-374. [DOI: 10.1177/0310057x1704500313] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Hospital systems for the recognition (afferent limb) and management (efferent limb) of deteriorating patients, or Rapid Response Systems (RRSs), are being mandated worldwide, in spite of conflicting evidence regarding their efficacy. We have evaluated the impact of an Adult Deterioration Detection System (Q–ADDS)–based RRS specifically on illness severity at intensive care unit (ICU) admission and ICU length of stay (LOS), as well as previously studied endpoints. We undertook a retrospective, single-centre observational study comparing equivalent 18-month periods before the Q–ADDS–based RRS, and after implementation. The primary endpoints of the study were illness severity of unplanned ICU admissions from the ward, ICU length of stay, and ICU mortality. Secondary endpoints were RRS call numbers, rate of unplanned ICU admissions, and ward-based cardiorespiratory arrests. Following the introduction of the new RRS, Acute Pain and Chronic Health Evaluation (APACHE) II (17 versus 21, P <0.001), APACHE III (64 versus 68, P=0.011) and Simplified Acute Physiology Score (35 versus 38, P=0.044) scores at ICU admission from the ward were reduced. Fewer patients were in the >50% predicted mortality range of APACHE II (16% versus 32%, P <0.001), APACHE III (18% versus 28%, P=0.012) and Simplified Acute Physiology Score (14% versus 24%, P=0.006). ICU mortality was unchanged (13.7% versus 13.8%, P=0.93). ICU LOS was reduced (3 versus 4 days, P=0.02); prolonged stay (>7 days) was not significantly changed (19% versus 27%, P=0.055). Unplanned ICU admissions, cardiorespiratory arrests and hospital mortality were unchanged. The frequency of RRS activation (48 versus 11 per 1,000 admissions, P <0.001) was markedly increased. This Q–ADDS form–based RRS has resulted in lower illness severity at ICU admission from the ward, and fewer patients with scores associated with a >50% predicted mortality. Overall, ICU length of stay was reduced. These specific outcomes may reliably reflect RRS efficacy, even in smaller centres.
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Affiliation(s)
- K. Joshi
- Department of Anaesthesia, Lyell McEwin Hospital, Elizabeth Vale, South Australia
| | - V. Campbell
- Consultant, Intensive Care Unit, Nambour General Hospital, Nambour, Queensland
| | - M. Landy
- Consultant, Intensive Care Unit, Nambour General Hospital, Nambour, Queensland
| | - C. M. Anstey
- Consultant, Intensive Care Unit, Nambour General Hospital, Nambour, Queensland
| | - R. Gooch
- Clinical Nurse Coordinator, Nambour General Hospital, Nambour, Queensland
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Jones D, Mercer I, Heland M, Detering K, Radford S, Hart G, O'Donnell D, Bellomo R. In-hospital cardiac arrest epidemiology in a mature rapid response system. Br J Hosp Med (Lond) 2017; 78:137-142. [DOI: 10.12968/hmed.2017.78.3.137] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Daryl Jones
- Consultant in Intensive Care Medicine, Department of Intensive Care, Austin Health, Heidelberg, Melbourne, Australia
| | - Inga Mercer
- Clinical Educator, Clinical Education Unit, Austin Health, Heidelberg, Melbourne, Australia
| | - Melodie Heland
- Director, Surgical Clinical Services Unit, Austin Health, Heidelberg, Melbourne, Australia
| | | | - Sam Radford
- Consultant in Intensive Care Medicine, Department of Intensive Care, Austin Health, Heidelberg, Melbourne, Australia
| | - Graeme Hart
- Consultant in Intensive Care Medicine, Department of Intensive Care, Austin Health, Heidelberg, Melbourne, Australia
| | - David O'Donnell
- Consultant Cardiologist, Department of Cardiology, Austin Health, Heidelberg, Melbourne, Australia
| | - Rinaldo Bellomo
- Consultant in Intensive Care Medicine, Department of Intensive Care, Austin Health, Heidelberg, Melbourne, Australia
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Cardiorespiratory instability in monitored step-down unit patients: using cluster analysis to identify patterns of change. J Clin Monit Comput 2017; 32:117-126. [PMID: 28229353 DOI: 10.1007/s10877-017-0001-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2016] [Accepted: 02/08/2017] [Indexed: 01/07/2023]
Abstract
Cardiorespiratory instability (CRI) in monitored step-down unit (SDU) patients has a variety of etiologies, and likely manifests in patterns of vital signs (VS) changes. We explored use of clustering techniques to identify patterns in the initial CRI epoch (CRI1; first exceedances of VS beyond stability thresholds after SDU admission) of unstable patients, and inter-cluster differences in admission characteristics and outcomes. Continuous noninvasive monitoring of heart rate (HR), respiratory rate (RR), and pulse oximetry (SpO2) were sampled at 1/20 Hz. We identified CRI1 in 165 patients, employed hierarchical and k-means clustering, tested several clustering solutions, used 10-fold cross validation to establish the best solution and assessed inter-cluster differences in admission characteristics and outcomes. Three clusters (C) were derived: C1) normal/high HR and RR, normal SpO2 (n = 30); C2) normal HR and RR, low SpO2 (n = 103); and C3) low/normal HR, low RR and normal SpO2 (n = 32). Clusters were significantly different based on age (p < 0.001; older patients in C2), number of comorbidities (p = 0.008; more C2 patients had ≥ 2) and hospital length of stay (p = 0.006; C1 patients stayed longer). There were no between-cluster differences in SDU length of stay, or mortality. Three different clusters of VS presentations for CRI1 were identified. Clusters varied on age, number of comorbidities and hospital length of stay. Future study is needed to determine if there are common physiologic underpinnings of VS clusters which might inform clinical decision-making when CRI first manifests.
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White K, Scott IA, Vaux A, Sullivan CM. Rapid response teams in adult hospitals: time for another look? Intern Med J 2016; 45:1211-20. [PMID: 26122775 DOI: 10.1111/imj.12845] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2014] [Accepted: 06/23/2015] [Indexed: 11/28/2022]
Abstract
Rapid response teams (RRT), alternatively termed medical emergency teams, have become part of the clinical landscape in the majority of adult hospitals throughout Australia and New Zealand. These teams aim to bring critical care expertise to the bedside of clinically deteriorating patients residing in general hospital wards with the aim of preventing adverse outcomes, in particular death or cardiorespiratory arrests. While the concept of RRT has considerable face validity, there is little high quality evidence of their effectiveness and much uncertainty as to the optimal methods for identifying patients in need of RRT and calling the RRT (afferent limb) and how, and with whom, the RRT should then respond (efferent limb). Adverse unintended consequences of RRT systems and the opportunity costs involved in maintaining such systems have not been subject to study, amid concerns RRT may be compensating for other potentially remediable system of care failures. This article presents an overview of the current state of play of RRT in hospital practice as they pertain to the care of adult patients and identifies several issues around their implementation and evaluation that should be subject to further research.
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Affiliation(s)
- K White
- Department of Internal Medicine and Clinical Epidemiology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - I A Scott
- School of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - A Vaux
- Intensive Care Unit, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - C M Sullivan
- Division of Medicine, Princess Alexandra Hospital, Brisbane, Queensland, Australia
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Connell CJ, Endacott R, Jackman JA, Kiprillis NR, Sparkes LM, Cooper SJ. The effectiveness of education in the recognition and management of deteriorating patients: A systematic review. NURSE EDUCATION TODAY 2016; 44:133-145. [PMID: 27429343 DOI: 10.1016/j.nedt.2016.06.001] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2015] [Revised: 05/23/2016] [Accepted: 06/01/2016] [Indexed: 06/06/2023]
Abstract
BACKGROUND Survival from in-hospital cardiac arrest is poor. Clinical features, including abnormal vital signs, often indicate patient deterioration prior to severe adverse events. Early warning systems and rapid response teams are commonly used to assist the health profession in the identification and management of the deteriorating patient. Education programs are widely used in the implementation of these systems. The effectiveness of the education is unknown. AIM The aims of this study were to identify: (i) the evidence supporting educational effectiveness in the recognition and management of the deteriorating patient and (ii) outcome measures used to evaluate educational effectiveness. METHODS A mixed methods systematic review of the literature was conducted using studies published between 2002 and 2014. Included studies were assessed for quality and data were synthesized thematically, while original data are presented in tabular form. RESULTS Twenty-three studies were included in the review. Most educational programs were found to be effective reporting significant positive impacts upon learners, patient outcomes and organisational systems. Outcome measures related to: i learners, for example knowledge and performance, ii systems, including activation and responses of rapid response teams, and iii patients, including patient length of stay and adverse events. All but one of the programs used blended teaching with >87% including medium to high fidelity simulation. In situ simulation was employed in two of the interventions. The median program time was eight hours. The longest program lasted 44h however one of the most educationally effective programs was based upon a 40min simulation program. CONCLUSION Educational interventions designed to improve the recognition and management of patient deterioration can improve learner outcomes when they incorporate medium to high-fidelity simulation. High-fidelity simulation has demonstrated effectiveness when delivered in brief sessions lasting only forty minutes. In situ simulation has demonstrated sustained positive impact upon the real world implementation of rapid response systems. Outcome measures should include knowledge and skill developments but there are important benefits in understanding patient outcomes.
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Affiliation(s)
- Clifford J Connell
- School of Nursing and Midwifery, Monash University, PO Box 527, Frankston, VIC 3199, Australia.
| | - Ruth Endacott
- School of Nursing and Midwifery, Monash University, PO Box 527, Frankston, VIC 3199, Australia; School of Nursing and Midwifery, Plymouth University, UK.
| | - Jennifer A Jackman
- Monash Health, Dandenong Hospital Emergency Department, 135 David Street, Dandenong, VIC 3175, Australia.
| | - Noelleen R Kiprillis
- School of Nursing and Midwifery, Monash University, 100 Clyde Road, Berwick 3806, Australia.
| | | | - Simon J Cooper
- School of Nursing, Midwifery and Healthcare, Federation University, Gippsland Campus, Northways Road, Churchill, VIC 3842, Australia.
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Tasks completed by nursing members of a teaching hospital Medical Emergency Team. Intensive Crit Care Nurs 2016; 32:12-9. [DOI: 10.1016/j.iccn.2015.08.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2014] [Revised: 08/30/2015] [Accepted: 08/31/2015] [Indexed: 11/21/2022]
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Topple M, Ryan B, McKay R, Blythe D, Rogan J, Baldwin I, Jones D. Features of an Intensive Care based Medical Emergency Team nurse training program in a University Teaching Hospital. Aust Crit Care 2016; 29:46-9. [DOI: 10.1016/j.aucc.2015.03.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2014] [Revised: 03/01/2015] [Accepted: 03/02/2015] [Indexed: 11/16/2022] Open
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Factors affecting attitudes and barriers to a medical emergency team among nurses and medical doctors: A multi-centre survey. Resuscitation 2015; 88:92-8. [DOI: 10.1016/j.resuscitation.2014.12.027] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2014] [Revised: 11/13/2014] [Accepted: 12/11/2014] [Indexed: 11/22/2022]
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26
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Incidents resulting from staff leaving normal duties to attend medical emergency team calls. Med J Aust 2014; 201:528-31. [DOI: 10.5694/mja14.00647] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2014] [Accepted: 09/11/2014] [Indexed: 11/17/2022]
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Abstract
Rapid Response Teams (RRT) are specialised teams that review deteriorating ward patients in an attempt to prevent morbidity and mortality. Most studies have assessed the effect of implementing an RRT into a hospital. There is much less literature on the characteristics and outcomes of RRT patients themselves. This article reviews the epidemiology of adult RRT patients in Australia and proposes three models of RRT syndromes. The number of RRT calls varies considerably in Australian hospitals from 1.35 to 71.3/1000 hospital admissions. Common causes of RRT calls include sepsis, atrial fibrillation, seizures and pulmonary oedema. Approximately 20% of patients to whom an RRT has responded have more than one RRT call, and up to one-third have issues around end-of-life care. Calls are least common overnight. Between 10 to 25% of patients are admitted to a critical care area after the call. The in-hospital mortality for RRT patients is approximately 25% overall but only 15% in patients without a limitation of medical therapy. RRT syndromes can be conceptually described by the trigger for the call (e.g. hypotension) or the clinical condition causing the call (e.g. sepsis). Alternatively, the RRT call can be described by the major theme of the call: "end-of-life care", "requiring critical care" and "stable enough to initially remain on the ward". Based on these themes, education strategies and quality improvement initiatives may be developed to reduce the incidence of RRT calls, further improving patient outcome.
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Affiliation(s)
- D Jones
- Intensive Care Unit, Austin Hospital, Heidelberg, Victoria
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Husband A, Mercer I, Detering KM, Eastwood GM, Jones DA. The epidemiology of respiratory arrests in a teaching hospital. Resuscitation 2014; 85:364-8. [DOI: 10.1016/j.resuscitation.2013.11.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2013] [Revised: 10/22/2013] [Accepted: 11/12/2013] [Indexed: 10/26/2022]
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Reeves S, Perrier L, Goldman J, Freeth D, Zwarenstein M. Interprofessional education: effects on professional practice and healthcare outcomes (update). Cochrane Database Syst Rev 2013; 2013:CD002213. [PMID: 23543515 PMCID: PMC6513239 DOI: 10.1002/14651858.cd002213.pub3] [Citation(s) in RCA: 503] [Impact Index Per Article: 41.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
BACKGROUND The delivery of effective, high-quality patient care is a complex activity. It demands health and social care professionals collaborate in an effective manner. Research continues to suggest that collaboration between these professionals can be problematic. Interprofessional education (IPE) offers a possible way to improve interprofessional collaboration and patient care. OBJECTIVES To assess the effectiveness of IPE interventions compared to separate, profession-specific education interventions; and to assess the effectiveness of IPE interventions compared to no education intervention. SEARCH METHODS For this update we searched the Cochrane Effective Practice and Organisation of Care Group specialised register, MEDLINE and CINAHL, for the years 2006 to 2011. We also handsearched the Journal of Interprofessional Care (2006 to 2011), reference lists of all included studies, the proceedings of leading IPE conferences, and websites of IPE organisations. SELECTION CRITERIA Randomised controlled trials (RCTs), controlled before and after (CBA) studies and interrupted time series (ITS) studies of IPE interventions that reported objectively measured or self reported (validated instrument) patient/client or healthcare process outcomes. DATA COLLECTION AND ANALYSIS At least two review authors independently assessed the eligibility of potentially relevant studies. For included studies, at least two review authors extracted data and assessed study quality. A meta-analysis of study outcomes was not possible due to heterogeneity in study designs and outcome measures. Consequently, the results are presented in a narrative format. MAIN RESULTS This update located nine new studies, which were added to the six studies from our last update in 2008. This review now includes 15 studies (eight RCTs, five CBA and two ITS studies). All of these studies measured the effectiveness of IPE interventions compared to no educational intervention. Seven studies indicated that IPE produced positive outcomes in the following areas: diabetes care, emergency department culture and patient satisfaction; collaborative team behaviour and reduction of clinical error rates for emergency department teams; collaborative team behaviour in operating rooms; management of care delivered in cases of domestic violence; and mental health practitioner competencies related to the delivery of patient care. In addition, four of the studies reported mixed outcomes (positive and neutral) and four studies reported that the IPE interventions had no impact on either professional practice or patient care. AUTHORS' CONCLUSIONS This updated review reports on 15 studies that met the inclusion criteria (nine studies from this update and six studies from the 2008 update). Although these studies reported some positive outcomes, due to the small number of studies and the heterogeneity of interventions and outcome measures, it is not possible to draw generalisable inferences about the key elements of IPE and its effectiveness. To improve the quality of evidence relating to IPE and patient outcomes or healthcare process outcomes, the following three gaps will need to be filled: first, studies that assess the effectiveness of IPE interventions compared to separate, profession-specific interventions; second, RCT, CBA or ITS studies with qualitative strands examining processes relating to the IPE and practice changes; third, cost-benefit analyses.
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Affiliation(s)
- Scott Reeves
- Center of Innovation in Inteprofessional Education, University of California, San Francisco, San Francisco, California, USA.
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Winters BD, Weaver SJ, Pfoh ER, Yang T, Pham JC, Dy SM. Rapid-response systems as a patient safety strategy: a systematic review. Ann Intern Med 2013; 158:417-25. [PMID: 23460099 PMCID: PMC4695999 DOI: 10.7326/0003-4819-158-5-201303051-00009] [Citation(s) in RCA: 300] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Rapid-response systems (RRSs) are a popular intervention in U.S. hospitals and are supported by accreditors and quality improvement organizations. The purpose of this review is to evaluate the effectiveness and implementation of these systems in acute care settings. A literature search was performed between 1 January 2000 through 30 October 2012 using PubMed, PsycINFO, CINAHL, and the Cochrane Central Register of Controlled Trials. Studies published in any language evaluating outcome changes that occurred after implementing an RRS and differences between groups using and not using an RRS (effectiveness) or describing methods used by RRSs (implementation) were reviewed. A single reviewer (checked by a second reviewer) abstracted data and rated study quality and strength of evidence. Moderate-strength evidence from a high-quality meta-analysis of 18 studies and 26 lower-quality before-and-after studies published after that meta-analysis showed that RRSs are associated with reduced rates of cardiorespiratory arrest outside of the intensive care unit and reduced mortality. Eighteen studies examining facilitators of and barriers to implementation suggested that the rate of use of RRSs could be improved.
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Tobin AE, Santamaria JD. Medical emergency teams are associated with reduced mortality across a major metropolitan health network after two years service: a retrospective study using government administrative data. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2012; 16:R210. [PMID: 23107123 PMCID: PMC3682314 DOI: 10.1186/cc11843] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2012] [Accepted: 10/23/2012] [Indexed: 11/15/2022]
Abstract
Introduction Medical emergency teams (MET) are implemented to ensure prompt clinical review of patients with deteriorating physiology with the intention of averting further deterioration, cardiac arrest and death. We sought to determine if MET implementation has led to reductions in hospital mortality across a large metropolitan health network utilising routine administrative data submitted by hospitals to the Department of Health Victoria. Methods The Victorian admissions episodes data set (VAED) contains data on all individual hospital separations in the State of Victoria, Australia. After gaining institutional ethics approval, we extracted data on all acute admissions to metropolitan hospitals for which we had information on the presence and timing of a MET system. Using logistic regression we determined whether there was an effect of MET implementation on mortality controlling for age, gender, Charlson comorbidity diagnostic groupings, emergency admission, same day admission, ICU admission, mechanical ventilation, year, indigenous ethnicity, liaison nurse service and hospital designation. Results 5911533 individual admissions and 73,599 associated deaths from July 1999 to June 2010 were included in the analysis. 52.2% were male and median age was 57(42-72 IQR). Mortality rates for MET and non-MET periods were 3.92 (3.88-3.95 95%CI) and 4.56 (4.51-4.61 95%CI) deaths per 1000 patient days with a rate ratio after adjustment for year of 0.88 (0.86-0.89 95%CI) P < 0.001. In a multivariable logistic regression, mortality was associated with a MET team being active in the hospital for more than 2 years. The odds ratio for mortality in hospitals where a MET system had been in place for greater than 4 years duration was 0.90 (0.88-0.92). Mortality during the first 2 years of a MET system being in place was not statistically different from pre-MET periods. Conclusions Utilising routinely collected administrative data we demonstrated that the presence of a hospital MET system for greater than 2 years was associated with an independent reduction in hospital mortality across a major metropolitan health network. Mortality benefits after the introduction of a MET system take time to become apparent.
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Häggström M, Asplund K, Kristiansen L. To reduce technology prior discharge from intensive care - important but difficult? A grounded theory. Scand J Caring Sci 2012; 27:506-15. [DOI: 10.1111/j.1471-6712.2012.01063.x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Non-invasive ventilation, ordinary wards and medical emergency team: Maximizing effectiveness while preserving safety. Resuscitation 2011; 82:1464; author reply 1464-5. [DOI: 10.1016/j.resuscitation.2011.06.032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2011] [Accepted: 06/08/2011] [Indexed: 11/19/2022]
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Schneider AG, Calzavacca P, Mercer I, Hart G, Jones D, Bellomo R. The epidemiology and outcome of medical emergency team call patients treated with non-invasive ventilation. Resuscitation 2011; 82:1218-23. [PMID: 21570762 DOI: 10.1016/j.resuscitation.2011.04.009] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2011] [Revised: 03/24/2011] [Accepted: 04/10/2011] [Indexed: 11/16/2022]
Abstract
INTRODUCTION Use of non-invasive ventilation (NIV) is normally limited to the Emergency Department, Intensive Care Unit (ICU), Coronary Care Unit (CCU) or High Dependency Unit (HDU). However, NIV is sometimes used by the Medical Emergency Team (MET) as respiratory support for ward patients. OBJECTIVES We reviewed the characteristics and outcome of ward patients treated with NIV in the setting of a MET Call and determined the clinical and prognostic significance of such treatment. METHODS We used our MET database to assess the characteristics and outcome of patients treated with NIV and compared them to a control group of patients with similar MET diagnoses but not treated with NIV. RESULTS We studied 5389 calls in 3880 patients. NIV was delivered during 483 (9.0%) calls to 426 patients (11% of the total). The four most common MET diagnoses associated with NIV were acute pulmonary edema (156 calls, 32.3%), pneumonia (84 calls, 17.4%), acute respiratory failure of unclear origin (59 calls, 12.2%) and exacerbation of chronic obstructive pulmonary disease (32 calls, 6.6%). Limitations of medical therapy (LOMT) were documented in 151 (35.4%) patients. Among NIV patients without LOMT, 115 (41.8%) were transferred to ICU and 50 (18.2%) to the coronary care or high dependency unit (CCU/HDU) compared with only 50 (18.0%) and 16 (5.8%) respectively in the control group (p<0.001). Overall, 76 NIV patients (27.6%) received endotracheal intubation (ETT) compared with 61 (21.9%) in controls. Mortality was 23.6% in the NIV group versus 18.8% in the control group. CONCLUSION One in ten MET call patients received NIV. In those without LOMT, two thirds were transferred to ICU/HDU/CCU, one in four received ETT, and one in four died. NIV use at the time of a MET call identified high risk patients for whom admission to ICU/HDU/CCU should be strongly considered.
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Affiliation(s)
- Antoine G Schneider
- Intensive Care Unit, Austin Health 145 Studley Road Heidelberg, Melbourne, Victoria 3084, Australia.
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Calzavacca P, Licari E, Tee A, Mercer I, Haase M, Haase-Fielitz A, Jones D, Gutteridge G, Bellomo R. Features and outcome of patients receiving multiple Medical Emergency Team reviews. Resuscitation 2010; 81:1509-15. [DOI: 10.1016/j.resuscitation.2010.06.017] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2009] [Revised: 05/28/2010] [Accepted: 06/21/2010] [Indexed: 10/19/2022]
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The impact of Rapid Response System on delayed emergency team activation patient characteristics and outcomes--a follow-up study. Resuscitation 2009; 81:31-5. [PMID: 19854557 DOI: 10.1016/j.resuscitation.2009.09.026] [Citation(s) in RCA: 94] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2009] [Revised: 09/15/2009] [Accepted: 09/22/2009] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To evaluate the impact of Rapid Response System (RRS) maturation on delayed Medical Emergency Team (MET) activation and patient characteristics and outcomes. DESIGN Observational study. SETTING Tertiary hospital. PATIENTS Recent cohort of 200 patients receiving a MET review and early control cohort of 400 patients receiving a MET review five years earlier at the start of RRS implementation. MEASUREMENTS AND RESULTS We obtained information including demographics, clinical triggers for and timing of MET activation in relation to the first documented MET review criterion (activation delay) and patient outcomes. We found that patients in the recent cohort were older, more likely to be surgical and to have Not For Resuscitation (NFR) orders before MET review. Furthermore, fewer patients (22.0% vs. 40.3%, p<0.001) had delayed MET activation. When delayed activation occurred, there was a non-significant difference in its duration (early cohort: 12.0 [IQR 23.0]h vs. recent cohort: 9.0 [IQR 20.5]h, p=0.554). Similarly, unplanned ICU admissions decreased from 31.3% to 17.3% (p<0.001). Delayed MET activation was independently associated with greater risk of unplanned ICU admission and hospital mortality (O.R. 1.79, 95% C.I. 1.33.-2.93, p=0.003 and O.R. 2.18, 95% C.I. 1.42-3.33, p<0.001, respectively). Being part of the recent cohort was independently associated with a decreased risk of delayed activation (O.R. 0.45, 95% C.I. 0.30-0.67, p<0.001) and unplanned ICU admission (O.R. 0.5, 95% C.I. 0.32-0.78, p=0.003). CONCLUSIONS Maturation of a RRS is associated with a decrease in the incidence of unplanned ICU admissions and MET activation delay. Assessment of a RRS early in the course of its implementation may underestimate its efficacy.
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Jones D, Bellomo R, DeVita MA. Effectiveness of the Medical Emergency Team: the importance of dose. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2009; 13:313. [PMID: 19825203 PMCID: PMC2784340 DOI: 10.1186/cc7996] [Citation(s) in RCA: 126] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Up to 17% of hospital admissions are complicated by serious adverse events unrelated to the patients presenting medical condition. Rapid Response Teams (RRTs) review patients during early phase of deterioration to reduce patient morbidity and mortality. However, reports of the efficacy of these teams are varied. The aims of this article were to explore the concept of RRT dose, to assess whether RRT dose improves patient outcomes, and to assess whether there is evidence that inclusion of a physician in the team impacts on the effectiveness of the team. A review of available literature suggested that the method of reporting RRT utilization rate, (RRT dose) is calls per 1,000 admissions. Hospitals with mature RRTs that report improved patient outcome following RRT introduction have a RRT dose between 25.8 and 56.4 calls per 1,000 admissions. Four studies report an association between increasing RRT dose and reduced in-hospital cardiac arrest rates. Another reported that increasing RRT dose reduced in-hospital mortality for surgical but not medical patients. The MERIT study investigators reported a negative relationship between MET-like activity and the incidence of serious adverse events. Fourteen studies reported improved patient outcome in association with the introduction of a RRT, and 13/14 involved a Physician-led MET. These findings suggest that if the RRT is the major method for reviewing serious adverse events, the dose of RRT activation must be sufficient for the frequency and severity of the problem it is intended to treat. If the RRT dose is too low then it is unlikely to improve patient outcomes. Increasing RRT dose appears to be associated with reduction in cardiac arrests. The majority of studies reporting improved patient outcome in association with the introduction of an RRT involve a MET, suggesting that inclusion of a physician in the team is an important determinant of its effectiveness.
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Affiliation(s)
- Daryl Jones
- Department of Intensive Care, Austin Hospital, Studley Road, Heidelberg, VIC 3084, Australia.
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Montero Ruiz E, Hernández Ahijado C, García Sánchez F, Ramos Ramos J. Reflexiones sobre el papel del médico en la guardia intrahospitalaria. Rev Clin Esp 2009; 209:185-8. [DOI: 10.1016/s0014-2565(09)71312-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Carabini L, Tamul P, Afifi S. Cardiopulmonary to Cardiocerebral Resuscitation: Current Challenges and Future Directions. Int Anesthesiol Clin 2009; 47:1-13. [DOI: 10.1097/aia.0b013e3181956298] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Smith GB, Prytherch DR, Schmidt PE, Featherstone PI, Higgins B. A review, and performance evaluation, of single-parameter “track and trigger” systems. Resuscitation 2008; 79:11-21. [DOI: 10.1016/j.resuscitation.2008.05.004] [Citation(s) in RCA: 125] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2008] [Accepted: 05/03/2008] [Indexed: 11/27/2022]
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Abstract
Hospitals that care for children are establishing medical emergency or rapid response teams as system solutions for preventing unexpected but foreseeable respiratory and cardiac arrest on inpatient units. Typically, an experienced team of doctors and nurses responds quickly to a direct request by any level of staff or even a parent for assistance with a child whose physiologic parameters meet predetermined criteria or whose condition causes concern to them. Several pediatric studies comparing outcomes before and after introduction of these rapid response systems reported reductions in rates of respiratory or cardiac arrest and death but no prospective study has compared pediatric hospitals that have implemented rapid response teams to hospitals that have not.
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Jacques T, Harrison GA, McLaws ML. Attitudes towards and evaluation of medical emergency teams: a survey of trainees in intensive care medicine. Anaesth Intensive Care 2008; 36:90-5. [PMID: 18326139 DOI: 10.1177/0310057x0803600116] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
A survey was conducted to explore the perception of intensive care registrars on the impact of activities outside the intensive care unit (ICU), particularly in medical emergency teams, on their training and the care of patients. An anonymous mail-out survey was sent to 356 trainees registered with the Joint Faculty of Intensive Care Medicine, half of whom were determined to be involved in ICU duties. No patients were involved and respondents participated voluntarily. The main outcome measures were barriers and predictors of satisfaction with ICU training. One-hundred-and-thirty-six (38%) trainees responded. Seventy-eight percent had participated in a medical emergency team, of whom 99% of respondents stated the medical emergency team included an ICU registrar but rarely (3%) an ICU consultant. Sixty-six percent of respondents reported that medical emergency team involvement had a positive effect on training but 77% reported little or no supervision of team duties. While trainees did not believe they spent too much time performing medical emergency team duties, the time spent on medical emergency teams at night, when ICU staffing levels are at their lowest, was the same as during the day. Serious concern was expressed about the negative impact of medical emergency team activities on their ability to care for ICU patients and the additional stress on ICU medical and nursing staff Overall, ICU trainees regarded participation in a medical emergency team as positive on training and on patient care in wards, but other results have resource implications for the provision of clinical emergency response systems, care of patients in ICUs and the training of the future intensive care workforce.
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Affiliation(s)
- T Jacques
- Faculty of Intensive Care Trainees, Australia
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Gosman GG, Baldisseri MR, Stein KL, Nelson TA, Pedaline SH, Waters JH, Simhan HN. Introduction of an obstetric-specific medical emergency team for obstetric crises: implementation and experience. Am J Obstet Gynecol 2008; 198:367.e1-7. [PMID: 17981251 DOI: 10.1016/j.ajog.2007.06.072] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2007] [Revised: 04/03/2007] [Accepted: 06/29/2007] [Indexed: 10/22/2022]
Abstract
OBJECTIVE We describe the implementation and experience with adding an obstetric-specific medical emergency team (called Condition O for obstetric crisis) to an existing rapid response system at Magee-Womens Hospital. STUDY DESIGN In response to deficits identified during patient safety review of adverse obstetric events in 2004 and 2005, the hospital administration decided to add a crisis team with expertise specifically designed for maternal and/or fetal crises. RESULTS During the first 6 months, staff rarely called Condition O (14 per 10,000 obstetric admissions). After reeducation efforts, use of Condition O increased to 62 per 10,000 obstetric admissions during 2006. CONCLUSION We outline our hospital's experience with implementation, efforts to address low utilization, and 1.5 years of Condition O event data. Condition O is a work in progress. In light of this, we discuss the challenges of measuring its patient safety outcome, considerations for team size and composition, and our efforts to determine an optimal Condition O rate.
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Tee A, Calzavacca P, Licari E, Goldsmith D, Bellomo R. Bench-to-bedside review: The MET syndrome--the challenges of researching and adopting medical emergency teams. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2008; 12:205. [PMID: 18254927 PMCID: PMC2374625 DOI: 10.1186/cc6199] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Studies of hospital performance highlight the problem of 'failure to rescue' in acutely ill patients. This is a deficiency strongly associated with serious adverse events, cardiac arrest, or death. Rapid response systems (RRSs) and their efferent arm, the medical emergency team (MET), provide early specialist critical care to patients affected by the 'MET syndrome': unequivocal physiological instability or significant hospital staff concern for patients in a non-critical care environment. This intervention aims to prevent serious adverse events, cardiac arrests, and unexpected deaths. Though clinically logical and relatively simple, its adoption poses major challenges. Furthermore, research about the effectiveness of RRS is difficult to conduct. Sceptics argue that inadequate evidence exists to support its widespread application. Indeed, supportive evidence is based on before-and-after studies, observational investigations, and inductive reasoning. However, implementing a complex intervention like RRS poses enormous logistic, political, cultural, and financial challenges. In addition, double-blinded randomised controlled trials of RRS are simply not possible. Instead, as in the case of cardiac arrest and trauma teams, change in practice may be slow and progressive, even in the absence of level I evidence. It appears likely that the accumulation of evidence from different settings and situations, though methodologically imperfect, will increase the rationale and logic of RRS. A conclusive randomised controlled trial is unlikely to occur. All truth passes through three stages. First, it is ridiculed. Second, it is violently opposed. Third, it is accepted as being self-evident. Arthur Schopenhauer (1788–1860), German philosopher
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Affiliation(s)
- Augustine Tee
- Department of Intensive Care, Austin Hospital, Studley Road, Heidelberg, Melbourne, Victoria 3084, Australia
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Reeves S, Zwarenstein M, Goldman J, Barr H, Freeth D, Hammick M, Koppel I. Interprofessional education: effects on professional practice and health care outcomes. Cochrane Database Syst Rev 2008:CD002213. [PMID: 18254002 DOI: 10.1002/14651858.cd002213.pub2] [Citation(s) in RCA: 198] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Patient care is a complex activity which demands that health and social care professionals work together in an effective manner. The evidence suggests, however, that these professionals do not collaborate well together. Interprofessional education (IPE) offers a possible way to improve collaboration and patient care. OBJECTIVES To assess the effectiveness of IPE interventions compared to education interventions in which the same health and social care professionals learn separately from one another; and to assess the effectiveness of IPE interventions compared to no education intervention. SEARCH STRATEGY We searched the Cochrane Effective Practice and Organisation of Care Group specialised register, MEDLINE and CINAHL, for the years 1999 to 2006. We also handsearched the Journal of Interprofessional Care (1999 to 2006), reference lists of the six included studies and leading IPE books, IPE conference proceedings, and websites of IPE organisations. SELECTION CRITERIA Randomised controlled trials (RCTs), controlled before and after (CBA) studies and interrupted time series (ITS) studies of IPE interventions that reported objectively measured or self reported (validated instrument) patient/client and/or healthcare process outcomes. DATA COLLECTION AND ANALYSIS Two reviewers independently assessed the eligibility of potentially relevant studies, and extracted data from, and assessed study quality of, included studies. A meta-analysis of study outcomes was not possible given the small number of included studies and the heterogeneity in methodological designs and outcome measures. Consequently, the results are presented in a narrative format. MAIN RESULTS We included six studies (four RCTs and two CBA studies). Four of these studies indicated that IPE produced positive outcomes in the following areas: emergency department culture and patient satisfaction; collaborative team behaviour and reduction of clinical error rates for emergency department teams; management of care delivered to domestic violence victims; and mental health practitioner competencies related to the delivery of patient care. In addition, two of the six studies reported mixed outcomes (positive and neutral) and two studies reported that the IPE interventions had no impact on either professional practice or patient care. AUTHORS' CONCLUSIONS This updated review found six studies that met the inclusion criteria, in contrast to our first review that found no eligible studies. Although these studies reported some positive outcomes, due to the small number of studies, the heterogeneity of interventions, and the methodological limitations, it is not possible to draw generalisable inferences about the key elements of IPE and its effectiveness. More rigorous IPE studies (i.e. those employing RCTs, CBA or ITS designs with rigorous randomisation procedures, better allocation concealment, larger sample sizes, and more appropriate control groups) are needed to provide better evidence of the impact of IPE on professional practice and healthcare outcomes. These studies should also include data collection strategies that provide insight into how IPE affects changes in health care processes and patient outcomes.
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Affiliation(s)
- S Reeves
- Wilson Centre for Research in Education, Department of Psychiatry, Li Ka Shing Knowledge Institute & Centre for Faculty Development, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, Canada M5B 1W8.
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Jones D, Opdam H, Egi M, Goldsmith D, Bates S, Gutteridge G, Kattula A, Bellomo R. Long-term effect of a Medical Emergency Team on mortality in a teaching hospital. Resuscitation 2007; 74:235-41. [PMID: 17367913 DOI: 10.1016/j.resuscitation.2006.12.007] [Citation(s) in RCA: 59] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2006] [Revised: 12/10/2006] [Accepted: 12/15/2006] [Indexed: 11/24/2022]
Abstract
AIM To assess the effect of a Medical Emergency Team (MET) service on patient mortality in the 4 years since its introduction into a teaching hospital. METHODS Using the hospital electronic database we obtained the number of admissions and in-hospital deaths "before-" (September 1998-August 1999), "during education-" (September 1999-August 2000), the "run-in period-" (September 2000-October 2000), and "after-" (November 2000-December 2004) the introduction of a MET service, intended to review and treat acutely unwell ward patients. RESULTS There were 42,230 surgical and 112,321 medical admissions over the study period. During the education period for the MET the odds ratio (OR) of death for surgical patients was 0.82 compared to the "before" MET period (95% CI 0.67-1.00; p=0.055). During the 2 month "run-in" period it remained statistically unchanged at 1.01 (95% CI 0.67-1.51; p=0.33). In the 4 years "after" introduction of the MET, the OR of death for surgical patients remained lower than the "before" MET period (multiple chi(2)-test p=0.0174). There were 1252 surgical MET calls, and in December 2004 the ratio of surgical MET calls to surgical deaths was 1.76:1. In contrast, in-hospital deaths for medical patients increased during the "education period", the "run-in" period and into the first year "after" the introduction of the MET (multiple chi(2)-test p<0.0001). There were 1278 medical MET calls, and in December 2004 the ratio of medical MET calls to medical deaths was 1:2.47 (0.41:1). For each 12-month period, the relative risk of death for medical patients as opposed to surgical patients ranged between 1.32 and 2.40. CONCLUSIONS Introduction of an Intensive Care-based MET in a university teaching hospital was associated with a fluctuating reduction in post-operative surgical mortality which was already apparent during the education phase, but a sustained increase in the mortality of medical patients which was similarly already apparent during the education phase. The differential effects on mortality may relate to differences in the degree of disease complexity and reversibility between medical and surgical patients.
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Affiliation(s)
- Daryl Jones
- Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
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Jones D, Egi M, Bellomo R, Goldsmith D. Effect of the medical emergency team on long-term mortality following major surgery. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2007; 11:R12. [PMID: 17257444 PMCID: PMC2151897 DOI: 10.1186/cc5673] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/27/2006] [Revised: 01/08/2007] [Accepted: 01/29/2007] [Indexed: 11/11/2022]
Abstract
Introduction Introducing an intensive care unit (ICU)-based medical emergency team (MET) into our hospital was associated with decreased postoperative in-hospital mortality after major surgery. The purpose of the present study was to assess the effect of the MET and other variables on long-term mortality in this patient population. Methods We conducted a prospective, controlled, before-and-after trial in a University-affiliated hospital. Participants included consecutive patients admitted for major surgery (surgery requiring hospital stay > 48 hours) during a four month control phase and a four month MET phase. The intervention involved the introduction of a hospital-wide ICU-based MET service to evaluate and treat ward patients with acutely deranged vital signs. Information on long-term mortality was obtained from the Australian death registry. The main outcome measure was patient mortality at 1500 days. Data on patient demographics, surgery undertaken and whether the surgery was scheduled or unscheduled was obtained from the hospital electronic database. Multivariable analysis was conducted to determine independent predictors of 1500-day mortality. Results There were 1,369 major operations in 1,116 patients during the control period and 1,313 operations in 1,067 patients during the MET (intervention) period. Overall survival at 1500 days was 65.8% in the control period and 71.6% during the MET period (P = 0.001). Patients in the control phase were statistically less likely to be admitted under orthopaedic surgery, urology and faciomaxillary surgery units, but more likely to be admitted under cardiac surgery or neurosurgery units. Patients in the MET period were less likely to undergo unscheduled surgery. Multivariable analysis revealed that age, unscheduled surgery and admission under thoracic surgery, neurosurgery, oncology and general medicine were independent predictors of increased 1500-day mortality. Admission during the MET period was also an independent predictor of decreased 1500-day mortality (odds ratio 0.74; P = 0.005). Conclusion Introduction of a MET service in a teaching hospital was associated with increased long-term survival even after adjusting for other factors that contribute to long-term surgical mortality.
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Affiliation(s)
- Daryl Jones
- Australian and New Zealand Intensive Care Research Centre (ANZIC-RC), Department of Epidemiology and Preventive Medicine, Monash University, Commercial road Melbourne, Victoria, 3004, Australia
| | - Moritoki Egi
- Department of Anesthesiology and Resuscitology, Okayama University Medical School, 2-5-1 Shikata city, Okayama, 700-8525, Japan
| | - Rinaldo Bellomo
- Australian and New Zealand Intensive Care Research Centre (ANZIC-RC), Department of Epidemiology and Preventive Medicine, Monash University, Commercial road Melbourne, Victoria, 3004, Australia
- Department of Intensive Care and Department of Medicine (Melbourne University) Austin Hospital, Studley Road, Heidelberg, Melbourne, Victoria, 3084, Australia
| | - Donna Goldsmith
- Department of Intensive Care and Department of Medicine (Melbourne University) Austin Hospital, Studley Road, Heidelberg, Melbourne, Victoria, 3084, Australia
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Smith G, Prytherch D, Peet H, Kause J. Pattern of detection of cardiac arrests was unaffected by the introduction of the medical emergency team. Intensive Care Med 2006; 33:385-6; author reply 387. [PMID: 17165013 DOI: 10.1007/s00134-006-0493-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/20/2006] [Indexed: 10/23/2022]
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