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Holm MS, Fålun N, Pettersen TR, Bendz B, Nilsen RM, Langørgen J, Larsen AI, Sørensen ML, Sandau KE, Norekvål TM. Appropriateness and outcomes of hospitalized patients telemetry monitored for cardiac arrhythmias in accordance with the American Heart Association Practice Standards-A multicenter study. Heart Lung 2024; 68:217-226. [PMID: 39067328 DOI: 10.1016/j.hrtlng.2024.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 07/09/2024] [Accepted: 07/09/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND To the best of our knowledge, no prospective research studies have compared clinical practice to the American Heart Association (AHA) updated practice standards for in-hospital telemetry monitoring. OBJECTIVES Our aims were therefore (1) to investigate how patients were assigned to telemetry monitoring in accordance with the AHA's updated practice standards, (2) to determine the number and type of arrhythmic events, and (3) to describe subsequent changes in clinical management. METHODS This prospective multicenter study included 1154 patients at three university hospitals in Norway. Data were collected 24/7 over a four-week period, with follow-up measurements from telemetry admission until hospital discharge. RESULTS Of patients assigned to telemetry, 67 % (n = 767) met practice standards, corresponding to AHA Class I or II. Patients were predominantly men (65 %, n = 748), and the mean age was 65 years (SD ±16). The study included both patients with cardiac and non-cardiac diagnoses from various medical and surgical departments throughout the hospitals. Ninety-one percent of the patients in Class III were monitored based on indications that were reclassified from Class II to Class III (not indicated) in the updated practice standards (patients admitted with chest pain or post-percutaneous coronary intervention (PCI) without complications). Overall, arrhythmic events occurred in 37 % (n = 424) of patients, and they occurred in all classes. Eighteen percent (n = 59) of arrhythmic events occurred in Class III. Of all arrhythmias, 3 % (n = 14) were life threatening, and all of them occurring within Class I. Telemetry monitoring led to changes in clinical management in 22 % (n = 257) of patients due to clinical alarms, of which 71 % (n = 182) were related to medication management. CONCLUSIONS Most patients were appropriately monitored according to the AHA practice standards, meeting Class I and II. Arrhythmias occurred in all classes, but life-threatening arrhythmias only occurred in patients in Class I. However, a daily re-assessment of each patient's telemetry indication is warranted.
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Affiliation(s)
- Marianne Sætrang Holm
- Department of Health and Social Sciences, Western Norway University of Applied Sciences, Inndalsveien 28, 5063 Bergen, Norway
| | - Nina Fålun
- Department of Heart Disease, Haukeland University Hospital, Jonas Lies vei 65, 5021 Bergen, Norway
| | - Trond Røed Pettersen
- Department of Health and Social Sciences, Western Norway University of Applied Sciences, Inndalsveien 28, 5063 Bergen, Norway; Department of Heart Disease, Haukeland University Hospital, Jonas Lies vei 65, 5021 Bergen, Norway
| | - Bjørn Bendz
- Department of Cardiology, Oslo University Hospital, Sognsvannsveien 20, Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Klaus Torgårds vei 3, 0372 Oslo, Norway
| | - Roy Miodini Nilsen
- Department of Health and Social Sciences, Western Norway University of Applied Sciences, Inndalsveien 28, 5063 Bergen, Norway
| | - Jørund Langørgen
- Department of Heart Disease, Haukeland University Hospital, Jonas Lies vei 65, 5021 Bergen, Norway
| | - Alf Inge Larsen
- Department of Cardiology, Stavanger University Hospital, Gerd Ragna Bloch Thorsens gate 8 Stavanger, Norway; Department of Clinical Science, University of Bergen, Laboratory Building, Haukeland University Hospital, Jonas Lies vei 87, 5021, Bergen, Norway
| | - Marianne Laastad Sørensen
- Department of Cardiology, Stavanger University Hospital, Gerd Ragna Bloch Thorsens gate 8 Stavanger, Norway
| | - Kristin E Sandau
- School of Nursing, University of Minnesota, 5-140 Weaver-Densford Hall, 308 Harvard Street SE Minneapolis, MN 55455, USA
| | - Tone Merete Norekvål
- Department of Health and Social Sciences, Western Norway University of Applied Sciences, Inndalsveien 28, 5063 Bergen, Norway; Department of Heart Disease, Haukeland University Hospital, Jonas Lies vei 65, 5021 Bergen, Norway; Department of Clinical Science, University of Bergen, Laboratory Building, Haukeland University Hospital, Jonas Lies vei 87, 5021, Bergen, Norway.
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Stollings JL, Boncyk CS, Birdrow CI, Chen W, Raman R, Gupta DK, Roden DM, Rivera EL, Maiga AW, Rakhit S, Pandharipande PP, Ely EW, Girard TD, Patel MB. Antipsychotics and the QTc Interval During Delirium in the Intensive Care Unit: A Secondary Analysis of a Randomized Clinical Trial. JAMA Netw Open 2024; 7:e2352034. [PMID: 38252439 PMCID: PMC10804270 DOI: 10.1001/jamanetworkopen.2023.52034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/28/2023] [Indexed: 01/23/2024] Open
Abstract
Importance Antipsychotic medications, often prescribed for delirium in intensive care units (ICUs), may contribute to QTc interval prolongation. Objective To determine whether antipsychotics increase the QTc interval in patients with delirium in the ICU. Design, Setting, and Participants An a priori analysis of a randomized clinical trial in medical/surgical ICUs within 16 centers across the US was conducted. Participants included adults with delirium in the ICU with baseline QTc interval less than 550 ms. The study was conducted from December 2011 to August 2017. Data analysis was performed from April 25 to August 18, 2021. Interventions Patients were randomized 1:1:1 to intravenous haloperidol, ziprasidone, or saline placebo administered twice daily until resolution of delirium, ICU discharge, or 14 days. Main Outcomes and Measures Twelve-lead electrocardiograms were used to measure baseline QTc before study drug initiation and telemetry was used to measure QTc before each subsequent dose of study drug. Unadjusted day-to-day changes in QTc were calculated and multivariable proportional odds regression was used to estimate the effects of antipsychotics vs placebo on next-day maximum QTc interval, adjusting for prespecified baseline covariates and potential interactions with sex. Safety end points, including the occurrence of torsade de pointes, were evaluated. All analyses were conducted based on the intention to treat principle. Results A total of 566 patients were randomized to haloperidol (n = 192), ziprasidone (n = 190), or placebo (n = 184). Median age was 60.1 (IQR, 51.4-68.7) years; 323 were men (57%). Baseline median QTc intervals across the groups were similar: haloperidol, 458.0 (IQR, 432.0-479.0) ms; ziprasidone, 451.0 (IQR, 424.0-472.0) ms; and placebo, 452.0 (IQR, 432.0-472.0) ms. From day 1 to day 2, median QTc changed minimally: haloperidol, -1.0 (IQR, -28.0 to 15.0) ms; ziprasidone, 0 (IQR, -23.0 to 20.0) ms; and placebo, -3.5 (IQR, -24.8 to 17.0) ms. Compared with placebo, neither haloperidol (odds ratio [OR], 0.95; 95% CI, 0.66-1.37; P = .78) nor ziprasidone (OR, 1.09; 95% CI, 0.75-1.57; P = .78) was associated with next-day QTc intervals. Effects were not significantly modified by sex (P = .41 for interaction). There were 2 occurrences of nonfatal torsade de pointes, both in the haloperidol group. Neither was associated with study drug administration. Conclusions and Relevance The findings of this trial suggest that daily QTc interval monitoring during antipsychotic use may have limited value in patients in the ICU with normal baseline QTc and few risk factors for QTc prolongation. Trial Registration ClinicalTrials.gov Identifier: NCT01211522.
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Affiliation(s)
- Joanna L. Stollings
- Critical Illness, Brain Dysfunction, and Survivorship Center, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Pharmaceutical Services, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Christina S. Boncyk
- Critical Illness, Brain Dysfunction, and Survivorship Center, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Caroline I. Birdrow
- Critical Illness, Brain Dysfunction, and Survivorship Center, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Wencong Chen
- Critical Illness, Brain Dysfunction, and Survivorship Center, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Rameela Raman
- Critical Illness, Brain Dysfunction, and Survivorship Center, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Deepak K. Gupta
- Center for Health Services Research, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt Heart Imaging Core Lab, Vanderbilt Translational and Clinical Cardiovascular Research Center, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Dan M. Roden
- Department of Medicine, Departments of Pharmacology and Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Erika L. Rivera
- Section of Surgical Sciences, Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
- Surgical Service, Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville, Tennessee
| | - Amelia W. Maiga
- Critical Illness, Brain Dysfunction, and Survivorship Center, Vanderbilt University Medical Center, Nashville, Tennessee
- Section of Surgical Sciences, Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Shayan Rakhit
- Critical Illness, Brain Dysfunction, and Survivorship Center, Vanderbilt University Medical Center, Nashville, Tennessee
- Section of Surgical Sciences, Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Pratik P. Pandharipande
- Critical Illness, Brain Dysfunction, and Survivorship Center, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee
- Center for Health Services Research, Vanderbilt University Medical Center, Nashville, Tennessee
- Anesthesia Service, Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville
- Geriatric Research Education and Clinical Center, Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville
| | - E. Wesley Ely
- Critical Illness, Brain Dysfunction, and Survivorship Center, Vanderbilt University Medical Center, Nashville, Tennessee
- Center for Health Services Research, Vanderbilt University Medical Center, Nashville, Tennessee
- Geriatric Research Education and Clinical Center, Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Timothy D. Girard
- Critical Illness, Brain Dysfunction, and Survivorship Center, Vanderbilt University Medical Center, Nashville, Tennessee
- Center for Research, Investigation, and Systems Modeling of Acute Illness in the Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Mayur B. Patel
- Critical Illness, Brain Dysfunction, and Survivorship Center, Vanderbilt University Medical Center, Nashville, Tennessee
- Center for Health Services Research, Vanderbilt University Medical Center, Nashville, Tennessee
- Section of Surgical Sciences, Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
- Surgical Service, Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville, Tennessee
- Geriatric Research Education and Clinical Center, Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville
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Cardiac arrhythmia classification by time–frequency features inputted to the designed convolutional neural networks. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2022.104224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Effects of Electrocardiographic Monitoring Education on Nurses' Confidence and Psychological Stress: An Online Cross-Sectional Survey in Japan. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19084742. [PMID: 35457608 PMCID: PMC9024973 DOI: 10.3390/ijerph19084742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 04/06/2022] [Accepted: 04/09/2022] [Indexed: 12/07/2022]
Abstract
We aimed to investigate the association between nurses’ electrocardiographic (ECG) monitoring education and their confidence and psychological stress regarding ECG monitoring. In 2019, a web-based cross-sectional study was conducted among Japanese nurses. A multivariable logistic regression analysis was performed to evaluate the effects of education on nurses’ confidence and psychological stress regarding ECG monitoring. In total, 1652 nurses were included in the study. Factors significantly associated with nurses’ confidence were post-graduate education experience (odds ratio [OR], 2.4; 95% confidence interval [CI], 1.6–3.6), ≥11 post-graduate years (OR, 2.2; 95% CI, 1.5–3.1), male gender (OR, 4.4; 95% CI, 2.9–6.6), ≥5 helpful experiences with ECG monitoring (OR, 10.7; 95% CI, 6.0–19.1), work experience in an intensive care unit (OR, 2.3; 95% CI, 1.5–3.7), and work experience in a cardiology department (OR, 1.7; 95% CI, 1.2–2.4). Factors significantly associated with nurses’ psychological stress were male gender (OR, 1.9; 95% CI, 1.2–2.9), ≥5 helpful experiences with ECG monitoring (OR, 1.9; 95% CI, 1.2–2.9), and work experience in an emergency room (OR, 2.4; 95% CI, 1.3–4.8). These results suggest that nurses’ post-graduate ECG monitoring education enhanced their confidence, but did not reduce psychological stress regarding ECG monitoring.
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Fålun N, Oterhals K, Pettersen T, Brørs G, Olsen SS, Norekvål TM. Cardiovascular nurses' adherence to practice standards in in‐hospital telemetry monitoring. Nurs Crit Care 2019; 25:37-44. [DOI: 10.1111/nicc.12425] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 12/27/2018] [Accepted: 02/07/2019] [Indexed: 01/02/2023]
Affiliation(s)
- Nina Fålun
- Department of Heart DiseaseHaukeland University Hospital Bergen Norway
- National Society of Cardiovascular Nursing Bergen Norway
| | - Kjersti Oterhals
- Department of Heart DiseaseHaukeland University Hospital Bergen Norway
| | - Trond Pettersen
- Department of Heart DiseaseHaukeland University Hospital Bergen Norway
| | - Gunhild Brørs
- National Society of Cardiovascular Nursing Namsos Norway
- Department of MedicineNamsos Hospital Namsos Norway
| | - Siv S. Olsen
- National Society of Cardiovascular Nursing Tromsø Norway
- Division of Internal MedicineUniversity Hospital of North Norway Tromso Norway
| | - Tone M. Norekvål
- Department of Heart DiseaseHaukeland University Hospital Bergen Norway
- National Society of Cardiovascular Nursing Bergen Norway
- Department of Clinical ScienceUniversity of Bergen Bergen Norway
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Sandau KE, Funk M, Auerbach A, Barsness GW, Blum K, Cvach M, Lampert R, May JL, McDaniel GM, Perez MV, Sendelbach S, Sommargren CE, Wang PJ. Update to Practice Standards for Electrocardiographic Monitoring in Hospital Settings: A Scientific Statement From the American Heart Association. Circulation 2017; 136:e273-e344. [DOI: 10.1161/cir.0000000000000527] [Citation(s) in RCA: 121] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Funk M, Fennie KP, Stephens KE, May JL, Winkler CG, Drew BJ. Association of Implementation of Practice Standards for Electrocardiographic Monitoring With Nurses' Knowledge, Quality of Care, and Patient Outcomes: Findings From the Practical Use of the Latest Standards of Electrocardiography (PULSE) Trial. Circ Cardiovasc Qual Outcomes 2017; 10:CIRCOUTCOMES.116.003132. [PMID: 28174175 DOI: 10.1161/circoutcomes.116.003132] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Accepted: 12/22/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND Although continuous electrocardiographic (ECG) monitoring is ubiquitous in hospitals, monitoring practices are inconsistent. We evaluated implementation of American Heart Association practice standards for ECG monitoring on nurses' knowledge, quality of care, and patient outcomes. METHODS AND RESULTS The PULSE (Practical Use of the Latest Standards of Electrocardiography) Trial was a 6-year multisite randomized clinical trial with crossover that took place in 65 cardiac units in 17 hospitals. We measured outcomes at baseline, time 2 after group 1 hospitals received the intervention, and time 3 after group 2 hospitals received the intervention. Measurement periods were 15 months apart. The 2-part intervention consisted of an online ECG monitoring education program and strategies to implement and sustain change in practice. Nurses' knowledge (N=3013 nurses) was measured by a validated 20-item online test, quality of care related to ECG monitoring (N=4587 patients) by on-site observation, and patient outcomes (mortality, in-hospital myocardial infarction, and not surviving a cardiac arrest; N=95 884 hospital admissions) by review of administrative, laboratory, and medical record data. Nurses' knowledge improved significantly immediately after the intervention in both groups but was not sustained 15 months later. For most measures of quality of care (accurate electrode placement, accurate rhythm interpretation, appropriate monitoring, and ST-segment monitoring when indicated), the intervention was associated with significant improvement, which was sustained 15 months later. Of the 3 patient outcomes, only in-hospital myocardial infarction declined significantly after the intervention and was sustained. CONCLUSIONS Online ECG monitoring education and strategies to change practice can lead to improved nurses' knowledge, quality of care, and patient outcomes. CLINICAL TRIAL REGISTRATION URL: http://www.clinicaltrials.gov. Unique identifier: NCT01269736.
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Affiliation(s)
- Marjorie Funk
- From the School of Nursing, Yale University, West Haven, CT (M.F.); Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami (K.P.F.); Department of Pharmacology and Molecular Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD (K.E.S.); Yale Center for Clinical Investigation, School of Medicine, Yale University, New Haven, CT (J.L.M.); Western Connecticut Medical Group, Danbury (C.G.W.); and Department of Physiological Nursing, School of Nursing, University of California San Francisco (B.J.D.).
| | - Kristopher P Fennie
- From the School of Nursing, Yale University, West Haven, CT (M.F.); Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami (K.P.F.); Department of Pharmacology and Molecular Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD (K.E.S.); Yale Center for Clinical Investigation, School of Medicine, Yale University, New Haven, CT (J.L.M.); Western Connecticut Medical Group, Danbury (C.G.W.); and Department of Physiological Nursing, School of Nursing, University of California San Francisco (B.J.D.)
| | - Kimberly E Stephens
- From the School of Nursing, Yale University, West Haven, CT (M.F.); Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami (K.P.F.); Department of Pharmacology and Molecular Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD (K.E.S.); Yale Center for Clinical Investigation, School of Medicine, Yale University, New Haven, CT (J.L.M.); Western Connecticut Medical Group, Danbury (C.G.W.); and Department of Physiological Nursing, School of Nursing, University of California San Francisco (B.J.D.)
| | - Jeanine L May
- From the School of Nursing, Yale University, West Haven, CT (M.F.); Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami (K.P.F.); Department of Pharmacology and Molecular Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD (K.E.S.); Yale Center for Clinical Investigation, School of Medicine, Yale University, New Haven, CT (J.L.M.); Western Connecticut Medical Group, Danbury (C.G.W.); and Department of Physiological Nursing, School of Nursing, University of California San Francisco (B.J.D.)
| | - Catherine G Winkler
- From the School of Nursing, Yale University, West Haven, CT (M.F.); Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami (K.P.F.); Department of Pharmacology and Molecular Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD (K.E.S.); Yale Center for Clinical Investigation, School of Medicine, Yale University, New Haven, CT (J.L.M.); Western Connecticut Medical Group, Danbury (C.G.W.); and Department of Physiological Nursing, School of Nursing, University of California San Francisco (B.J.D.)
| | - Barbara J Drew
- From the School of Nursing, Yale University, West Haven, CT (M.F.); Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami (K.P.F.); Department of Pharmacology and Molecular Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD (K.E.S.); Yale Center for Clinical Investigation, School of Medicine, Yale University, New Haven, CT (J.L.M.); Western Connecticut Medical Group, Danbury (C.G.W.); and Department of Physiological Nursing, School of Nursing, University of California San Francisco (B.J.D.)
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Gupta S, Green C, Subramaniam A, Zhen LD, Low E, Tiruvoipati R. The impact of delayed rapid response call activation on patient outcomes. J Crit Care 2017; 41:86-90. [PMID: 28500920 DOI: 10.1016/j.jcrc.2017.05.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Revised: 04/18/2017] [Accepted: 05/03/2017] [Indexed: 02/08/2023]
Abstract
PURPOSE To investigate the impact of delay in rapid response call (RRC) activation on Hospital mortality. MATERIALS AND METHODS This study was conducted in a university affiliated hospital providing medical, surgical, mental health, maternity, and pediatric services. RRCs were considered delayed if RRC activation was delayed by ≥15min. The primary outcome measure was in-hospital mortality. Secondary outcomes included hospital length of stay (LOS), requirement of ICU admission, as well as requirement of mechanical ventilation and ICU LOS for patients requiring ICU admission. RESULTS A total of 826 RRCs occurred in 629 patient admissions. A quarter of all RRCs were delayed by ≥15min, with a median delay of 1h and 20min. Patients with a delayed RRC had significantly higher in-hospital mortality (34.7% vs. 21.2%; p=0.001,) and significantly longer hospitalizations (11.6 vs. 8.4days; p=0.036). After adjusting for confounders, RRC activation was independently associated with increased in-hospital mortality (OR=1.79; 95% CI=1.17-2.72: p=0.007). CONCLUSIONS A delay of ≥15min was associated with significantly increased in-hospital mortality and longer hospitalization. The factors contributing to the observed increase in mortality with delayed RRCs require further exploration.
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Affiliation(s)
- Sachin Gupta
- Department of Intensive Care Medicine, Peninsula Health, Victoria, Australia; Faculty of Medicine, Nursing, and Health Sciences, Monash University, Victoria, Australia
| | - Cameron Green
- Department of Intensive Care Medicine, Peninsula Health, Victoria, Australia.
| | - Ashwin Subramaniam
- Department of Intensive Care Medicine, Peninsula Health, Victoria, Australia; Faculty of Medicine, Nursing, and Health Sciences, Monash University, Victoria, Australia; Department of Medicine, Peninsula Health, Victoria, Australia
| | - Lim Dee Zhen
- Department of Medicine, Peninsula Health, Victoria, Australia
| | - Elizabeth Low
- Department of Medicine, Peninsula Health, Victoria, Australia
| | - Ravindranath Tiruvoipati
- Department of Intensive Care Medicine, Peninsula Health, Victoria, Australia; Faculty of Medicine, Nursing, and Health Sciences, Monash University, Victoria, Australia.
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Proper skin preparation and electrode placement decreases alarms on a telemetry unit. Dimens Crit Care Nurs 2016; 34:134-9. [PMID: 25840128 DOI: 10.1097/dcc.0000000000000108] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND An estimated 85% to 99% of electrocardiographic (ECG) alarms are false, leading to alarm fatigue, which is associated with increased risk of death among hospitalized patients. OBJECTIVE The aim of this study was to examine the effect of proper skin preparation and electrode placement on frequency of ECG alarms on a telemetry unit. METHOD A prospective descriptive design was used to test the effect of proper skin preparation and ECG electrode placement. Purposive sampling of patients (n = 15) admitted to a telemetry hospital in a suburban Veterans Affairs Medical Center was used. Alarms were counted for 24 hours after admission, electrodes were replaced using proper technique, and alarms were counted for 24 hours after electrode change. Bootstrapping was used to double the sample size for analysis. RESULTS Electrocardiographic alarms decreased significantly (P < .05) after proper skin preparation and electrode placement (95% confidence interval, 1.273-82.327). DISCUSSION Proper skin preparation and ECG electrode placement reduced alarms. Reducing alarm frequency is vital to decreasing alarm fatigue and increasing patient safety.
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Abstract
BACKGROUND The numbers of patients in acute care hospitals who require cardiac monitoring are increasing. Unpredictable fluctuations in patient flow may result in shortages of telemetry beds for patients who need this level of care. OBJECTIVE The aims of this study were to design and implement cardiac monitoring education for all medical-surgical nursing staff in a level I trauma center. METHODS This is a descriptive, quantitative performance improvement study. A multidisciplinary implementation plan was developed with biomedical engineering and physical facilities coordinating structural changes and nursing coordinating education and clinical competency. The nursing educational plans included a dysrhythmia course and testing, a clinically based competency, and a statistical analysis of the dysrhythmia test. The impact of this project was evaluated looking at areas transitioned, telemetry beds available, cardiac dysrhythmia education workshops, and dysrhythmia test results. RESULTS The implementation of cardiac monitoring was completed over 2 years. Monitored medical-surgical beds increased from 132 to 282 beds. The nursing education expanded hospital-wide to clinical areas requesting standardization of nursing practice. CONCLUSIONS In addition to expanding the number of monitored beds and decompression of critical care beds, benefits included increased level of staff competence, standardization of cardiac monitoring practices throughout the facility, and validation of the cardiac dysrhythmia test.
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Bourgault AM, Seckel MA, Kramlich DL. Accurate Dysrhythmia Monitoring in Adults. Crit Care Nurse 2016; 36:e26-e34. [PMID: 27908957 DOI: 10.4037/ccn2016767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
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Improving Accuracy of Cardiac Electrode Placement: Outcomes of Clinical Nurse Specialist Practice. CLIN NURSE SPEC 2016; 30:45-50. [PMID: 26626747 DOI: 10.1097/nur.0000000000000172] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE The purpose of this quality improvement project was to facilitate a sustainable improvement in the accuracy of cardiac electrode placement for continuous bedside monitoring in intensive care unit patients. BACKGROUND Continuous cardiac electrocardiograph monitoring is a standard of practice in critical care areas and is essential to accurate interpretation of cardiac dysrhythmias and early detection of myocardial ischemia. Accurate assessment of electrocardiographs depends on precise placement of electrodes; however, electrodes are often placed inaccurately. RATIONALE Evaluation of baseline practice revealed that cardiac electrodes were placed correctly in only 12.5% of patients. The most frequently misplaced electrode was the V lead, followed by lower limb leads. DESCRIPTION This project was conducted between July 1, 2013, and October 31, 2013, and involved a multifaceted education program for registered nurse and patient care technician staff on the physiologic basis and technical procedures for cardiac electrode placement. The clinical nurse specialist served as an informal leader, role model, and mentor by developing and empowering unit champions to perform real-time auditing and provide real-time feedback to colleagues. OUTCOME At 3 months after intervention, the accuracy of cardiac electrode placement was sustained at greater than 85%, representing a 6-fold improvement above the preintervention baseline. CONCLUSION Sustainable improvement in quality requires creation of a culture that supports quality improvement initiatives. As experts in clinical practice, evidence-based practice, and leadership, clinical nurse specialists are optimally positioned to function as change agents whose initiatives measurably improve outcomes. IMPLICATIONS This quality improvement project serves as a model for improving accuracy of cardiac electrode placement at the nursing staff level. Future research is necessary to improve outcomes related to accuracy of cardiac electrode placement on the patient and systems levels.
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Abstract
Patients present to the emergency department (ED) with a wide range of complaints and ED clinicians are responsible for identifying which conditions are life threatening. Cardiac monitoring strategies in the ED include, but are not limited to, 12-lead electrocardiography and bedside cardiac monitoring for arrhythmia and ischemia detection as well as QT-interval monitoring. ED nurses are in a unique position to incorporate cardiac monitoring into the early triage and risk stratification of patients with cardiovascular emergencies to optimize patient management and outcomes.
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Affiliation(s)
- Jessica K Zègre-Hemsey
- School of Nursing, University of North Carolina at Chapel Hill, Carrington Hall, Campus Box 7460, Chapel Hill, NC 27599-7460, USA.
| | - J Lee Garvey
- Carolinas Medical Center, 1000 Blythe Boulevard, Charlotte, NC 28203, USA
| | - Mary G Carey
- Clinical Nursing Research Center, School of Nursing, Strong Memorial Hospital, University of Rochester Medical Center, 601 Elmwood Avenue, Box 619-7, Rochester, NY 14642, USA
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Griffin LA, Dunne LE. Effects of Ready-to-Wear Sizing Conventions on Sensor Placement for Medical Wearable Sensing1. J Med Device 2016. [DOI: 10.1115/1.4033170] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
- Linsey A. Griffin
- Department of Design, Housing, and Apparel, University of Minnesota, Minneapolis, MN 55455
| | - Lucy E. Dunne
- Department of Design, Housing, and Apparel, University of Minnesota, Minneapolis, MN 55455
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Among Unstable Angina and Non-ST-Elevation Myocardial Infarction Patients, Transient Myocardial Ischemia and Early Invasive Treatment Are Predictors of Major In-hospital Complications. J Cardiovasc Nurs 2015; 31:E10-9. [PMID: 26646595 DOI: 10.1097/jcn.0000000000000310] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
BACKGROUND Treatment for unstable angina (UA) or non-ST-elevation myocardial infarction (NSTEMI) is aimed at plaque stabilization to prevent infarction. Two treatment strategies are (1) invasive (ie, cardiac catheterization laboratory <24 hours after admission) or (2) selectively invasive (ie, medications with cardiac catheterization laboratory >24 hours for recurrent symptoms). However, it is not known if the frequency of transient myocardial ischemia (TMI) or complications during hospitalization varies by treatment. PURPOSE We aimed to (1) examine occurrence of TMI in UA/NSTEMI, (2) compare frequency of TMI by treatment pathway, and (3) determine predictors of in-hospital complications (ie, death, myocardial infarction [MI], pulmonary edema, shock, dysrhythmia with intervention). METHODS Hospitalized patients with coronary artery disease (ie, history of MI, percutaneous coronary intervention/stent, coronary artery bypass graft, >50% lesion via angiogram, or positive troponin) were recruited, and 12-lead electrocardiogram Holter initiated. Clinicians, blinded to Holter data, decided treatment strategy; offline analysis was done after discharge. Transient myocardial ischemia was defined as more than 1-mm ST segment ↑ or ↓, in more than 1 electrocardiographic lead, more than 1 minute. RESULTS Of 291 patients, 91% were white, 66% were male, 44% had prior MI, and 59% had prior percutaneous coronary intervention/stent or coronary artery bypass graft. Treatment pathway was early in 123 (42%) and selective in 168 (58%). Forty-nine (17%) had TMI: 19 (15%) early invasive, 30 (18%) selective (P = .637). Acute MI after admission was higher in patients with TMI regardless of treatment strategy (early: no TMI 4% vs yes TMI 21%; P = .020; selective: no TMI 1% vs yes TMI 13%; P = .0004). Predictors of major in-hospital complication were TMI (odds ratio, 9.9; 95% confidence interval, 3.84-25.78) and early invasive treatment (odds ratio 3.5; 95% confidence interval, 1.23-10.20). CONCLUSIONS In UA/NSTEMI patients treated with contemporary therapies, TMI is not uncommon. The presence of TMI and early invasive treatment are predictors of major in-hospital complications.
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Gazarian PK, Carrier N, Cohen R, Schram H, Shiromani S. A description of nurses' decision-making in managing electrocardiographic monitor alarms. J Clin Nurs 2014; 24:151-9. [PMID: 24813940 DOI: 10.1111/jocn.12625] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/24/2014] [Indexed: 12/01/2022]
Abstract
AIMS AND OBJECTIVES To describe the cues and factors that nurses use in their decision-making when responding to clinical alarms. BACKGROUND Alarms are designed to be very sensitive, and as a result, they are not very specific. Lack of adherence to the practice standards for electrocardiographic monitoring in hospital settings has been observed, resulting in overuse of the electrocardiographic monitoring. Monitoring without consideration of clinical indicators uses scarce healthcare resources and may even produce untoward circumstances because of alarm fatigue. With so many false alarms, alarm fatigue represents a symptom of a larger problem. It cannot be fixed until all of the factors that contribute to its existence have been examined. DESIGN This was a qualitative descriptive study. METHOD This study was conducted at an academic medical centre located in the Northeast United States. Eight participants were enrolled using purposive sampling. Nurses were observed for two three-hour periods. Following each observation, the nurse was interviewed using the critical decision method to describe the cognitive processes related to the alarm activities. Qualitative data from the conducted interviews were analysed via an a priori framework founded in the critical decision method. RESULTS This study reveals information, experience, guidance and decision-making as the four prominent categories contributing to nurses' decision-making in relation to alarm management. Managing technology was a category not identified a priori that emerged in the data analysis. CONCLUSION Nurses revealed a breadth of information needed to adequately identify and interpret monitor alarms, and how they used that information to put the alarms into the particular context of an individual patient's situations. RELEVANCE TO CLINICAL PRACTICE Understanding the cues and factors nurses use when responding to cardiac alarms will guide the development of learning experiences and inform policies to guide practice.
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Affiliation(s)
- Priscilla K Gazarian
- School of Nursing and Health Sciences, Simmons College, Boston, MA, USA; Brigham and Women's Hospital, Center for Nursing Excellence, Boston, MA, USA
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Gazarian PK. Nurses' response to frequency and types of electrocardiography alarms in a non-critical care setting: a descriptive study. Int J Nurs Stud 2013; 51:190-7. [PMID: 23810495 DOI: 10.1016/j.ijnurstu.2013.05.014] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2012] [Revised: 05/27/2013] [Accepted: 05/30/2013] [Indexed: 10/26/2022]
Abstract
BACKGROUND An important role of the registered nurse is to identify patient deterioration by monitoring the patient condition and vital signs. Increasingly, this is supplemented with continuous electrocardiographic (ECG) monitoring. Continuous monitoring is inefficient in identifying deterioration because of the high number of false and nuisance alarms. Lack of strong evidence or formal guidelines for the care of patients receiving ECG monitoring has led clinicians to rely too heavily on this technology without consideration of its limitations. The nursing workload associated with alarm management remains unexamined. OBJECTIVE To describe nurses' routine practices related to continuous ECG monitoring, frequency and types of alarms, their associated nursing interventions, and the impact on the patient's plan of care. METHODS Design. Prospective, descriptive, observational study. Setting and participants. Between January 2011 and March 2011 we observed nine Registered Nurses providing care for patients receiving continuous ECG monitoring in non-critical care areas. The PI and two research assistants observed each nurse for two 3-h observation periods and recorded data on a researcher designed observation tool. At the end of each observation period, the observers printed the alarm events as recorded by the central monitoring computer. RESULTS Nurses responded to 46.8% of all alarms. During the observation period, there were no dysrhythmia adverse events. One patient had a change in condition requiring transfer to a higher level of care. A range of nursing interventions occurred in response to alarms. CONCLUSION Nurses routine practices related to monitoring continue to reveal gaps in practice related to alarm management. Observations of practice also revealed the difficulties and complexities of managing alarm systems and the range of nursing interventions associated with managing alarms.
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Affiliation(s)
- Priscilla K Gazarian
- School of Nursing and Health Sciences, Simmons College, 300 The Fenway, Boston, MA 02115, United States.
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Kozik TM, Wung SF. Acquired long QT syndrome: frequency, onset, and risk factors in intensive care patients. Crit Care Nurse 2013; 32:32-41. [PMID: 23027789 DOI: 10.4037/ccn2012900] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
BACKGROUND Acquired long QT syndrome is a reversible condition that can lead to torsades de pointes and sudden cardiac death. OBJECTIVE To determine the frequency, onset, frequency of medications, and risk factors for the syndrome in intensive care patients. METHODS In a retrospective chart review of 88 subjects, hourly corrected QT intervals calculated by using the Bazett formula were collected. Acquired long QT syndrome was defined as a corrected QT of 500 milliseconds or longer or an increase in corrected QT of 60 milliseconds or greater from baseline level. Risk factors and medications administered were collected from patients' medical records. RESULTS The syndrome occurred in 46 patients (52%); mean time of onset was 7.4 hours (SD, 9.4) from time of admission. Among the 88 patients, 52 (59%) received a known QTc-prolonging medication. Among the 46 with the syndrome, 23 (50%) received a known QT-prolonging medication. No other risk factor studied was significantly predictive of the syndrome. CONCLUSIONS Acquired long QT syndrome occurs in patients not treated with a known QT-prolonging medication, indicating the importance of frequent QT monitoring of all intensive care patients.
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Affiliation(s)
- Teri M Kozik
- Cardiac Research Department, Saint Joseph's Medical Center, Stockton, CA 95204, USA.
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Abstract
Technology permeates every dimension of critical care. Bedside technology is integral to the assessment and monitoring of patients and to the provision of treatment. It also helps with access to vital information and can enhance communication. Although it offers extraordinary benefits to patients and clinicians, technology may also create problems. Our research addresses the wise use of technology in the care of critically ill patients. It examines the appropriate and safe use of technology, its equitable distribution, and the human-machine interface. Given that some devices are more effective and safe than others, it is important to assess the appropriateness of a specific technology in a specific situation. Just because a particular device is available, is it necessary to use it in every possible situation? Do we use it just because it is there? Do we employ "heroic" measures sometimes when it would be kinder not to? Studies on the safe use of technology in patient care lead to a consideration of the risk-benefit ratio. Our research on gender and racial differences in the use of cardiac procedures in patients with acute myocardial infarction focused on the equitable distribution of technology. The results of this line of research, along with those of numerous other studies, suggest possible racism in our health care practices. The human-machine interface, or how clinicians and patients interact with health care technology, is a crucial focus of research. Technology is at the heart of critical care. It allows clinicians to perform miracles, but is also a seductive and self-perpetuating force that needs careful monitoring by those who use it.
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Affiliation(s)
- Marjorie Funk
- Marjorie Funk is a professor at the Yale University School of Nursing, New Haven, Connecticut
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Schultz SJ. Evidence-Based Strategies for Teaching Dysrhythmia Monitoring Practices to Staff Nurses. J Contin Educ Nurs 2011; 42:308-19. [DOI: 10.3928/00220124-20110401-01] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2010] [Accepted: 02/23/2011] [Indexed: 11/20/2022]
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Abstract
Obese patients in the ICU present unique challenges to the health care team and specific challenges to nurses. This article reviews the science and art of resource use for obese patients in the ICU. Staff nurses and advanced practice nurses can make important contributions in evaluating optimal resource use and improving outcomes in this population of vulnerable patients.
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Sangkachand P, Sarosario B, Funk M. Continuous ST-segment monitoring: nurses' attitudes, practices, and quality of patient care. Am J Crit Care 2011; 20:226-37; quiz 238. [PMID: 21532043 DOI: 10.4037/ajcc2011129] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
BACKGROUND Continuous ischemia monitoring helps identify patients with acute, but often silent, myocardial ischemia. Evidence suggests nurses do not activate ischemia monitoring because they think it is difficult to use. ST-Map software incorporates graphic displays to make monitoring of ongoing ischemia easier. OBJECTIVES To determine if nurses' use of and attitude toward ischemia monitoring and the quality of patient care improve with use of ST-Map. METHODS The study included 61 nurses and 202 patients with acute coronary syndrome in a cardiac intensive care unit. Baseline data on nurses' use of and attitude toward ischemia monitoring and quality of care were obtained. Education was then provided and ST-Map software was installed on all monitors. Follow-up data were obtained 4 months later. RESULTS The percentage of nurses who had ever used ischemia monitoring was 13% before ST Map and 90% afterward (P < .001). The most common reason for not using ischemia monitoring before ST Map was inadequate knowledge (62%). The most common reason for liking ischemia monitoring after ST Map was knowing when a patient has ischemia (80%). Time to acquisition of a 12-lead electrocardiogram in response to symptoms or ST-segment changes was 5 to 15 minutes before ST Map and always less than 5 minutes afterward (P < .001). Time to return to the catheterization laboratory did not differ before and after ST Map. CONCLUSIONS ST Map was associated with more frequent use of ischemia monitoring, improved attitudes of nurses toward ischemia monitoring, and shorter time to obtaining 12-lead electrocardiograms.
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Affiliation(s)
- Prasama Sangkachand
- Prasama Sangkachand is a service-line educator in the heart and vascular center at Yale–New Haven Hospital, New Haven, Connecticut. Brenda Sarosario is a clinical nurse III in the cardiac intensive care unit at Yale–New Haven Hospital. Marjorie Funk is a professor in the Yale University School of Nursing, New Haven, Connecticut
| | - Brenda Sarosario
- Prasama Sangkachand is a service-line educator in the heart and vascular center at Yale–New Haven Hospital, New Haven, Connecticut. Brenda Sarosario is a clinical nurse III in the cardiac intensive care unit at Yale–New Haven Hospital. Marjorie Funk is a professor in the Yale University School of Nursing, New Haven, Connecticut
| | - Marjorie Funk
- Prasama Sangkachand is a service-line educator in the heart and vascular center at Yale–New Haven Hospital, New Haven, Connecticut. Brenda Sarosario is a clinical nurse III in the cardiac intensive care unit at Yale–New Haven Hospital. Marjorie Funk is a professor in the Yale University School of Nursing, New Haven, Connecticut
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Evenson L, Farnsworth M. Skilled Cardiac Monitoring at the Bedside: An Algorithm for Success. Crit Care Nurse 2010; 30:14-22. [DOI: 10.4037/ccn2010471] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
The ECG lead monitoring algorithm was developed to provide a tool to assist bedside nurses in monitoring ST segments and dysrhythmias.
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Affiliation(s)
- Laura Evenson
- Laura Evenson is the nurse manager of a neurosurgical unit at Saint Marys Hospital, Mayo Clinic, Rochester, Minnesota. When this project was done, Laura was the clinical nurse specialist in the medical intensive care unit at St Marys Hospital
| | - Monica Farnsworth
- Monica Farnsworth is a nursing education specialist in the cardiac surgery and transplant intensive care and progressive care units, Division of Education and Professional Development, and an assistant professor of nursing in the College of Medicine, Mayo Clinic, Rochester
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Funk M, Winkler CG, May JL, Stephens K, Fennie KP, Rose LL, Turkman YE, Drew BJ. Unnecessary arrhythmia monitoring and underutilization of ischemia and QT interval monitoring in current clinical practice: baseline results of the Practical Use of the Latest Standards for Electrocardiography trial. J Electrocardiol 2010; 43:542-7. [PMID: 20832819 DOI: 10.1016/j.jelectrocard.2010.07.018] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2010] [Indexed: 11/16/2022]
Abstract
PURPOSE The purpose of the study was to examine the appropriate use of arrhythmia, ischemia, and QTc interval monitoring in the acute care setting. METHODS We analyzed baseline data of the Practical Use of the Latest Standards for Electrocardiography (PULSE) trial, a multisite randomized clinical trial evaluating the effect of implementing electrocardiographic monitoring practice standards. Research nurses reviewed medical records for indications for monitoring and observed if arrhythmia, ischemia, and QT interval monitoring was being done on 1816 patients in 17 hospitals. RESULTS Almost all (99%) patients with an indication for arrhythmia monitoring were being monitored, but 85% of patients with no indication were monitored. Of patients with an indication for ischemia monitoring, 35% were being monitored; but 26% with no indication were being monitored for ST-segment changes. Only 21% of patients with an indication for QT interval monitoring had a QTc documented, but 18% of patients with no indication had a QTc documented. CONCLUSION Our data show evidence of inappropriate monitoring: undermonitoring for ischemia and QTc prolongation and overmonitoring for all 3 types of monitoring, especially arrhythmia monitoring.
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Affiliation(s)
- Marjorie Funk
- Yale University School of Nursing, New Haven, CT 06536-0740, USA.
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Drew BJ, Ackerman MJ, Funk M, Gibler WB, Kligfield P, Menon V, Philippides GJ, Roden DM, Zareba W. Prevention of torsade de pointes in hospital settings: a scientific statement from the American Heart Association and the American College of Cardiology Foundation. J Am Coll Cardiol 2010; 55:934-47. [PMID: 20185054 DOI: 10.1016/j.jacc.2010.01.001] [Citation(s) in RCA: 278] [Impact Index Per Article: 19.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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Drew BJ, Ackerman MJ, Funk M, Gibler WB, Kligfield P, Menon V, Philippides GJ, Roden DM, Zareba W. Prevention of torsade de pointes in hospital settings: a scientific statement from the American Heart Association and the American College of Cardiology Foundation. Circulation 2010; 121:1047-60. [PMID: 20142454 DOI: 10.1161/circulationaha.109.192704] [Citation(s) in RCA: 385] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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Sandau KE, Smith M. Continuous ST-segment monitoring: 3 case studies in progressive care. Crit Care Nurse 2010; 29:18-27; quiz 1 p following 27. [PMID: 19797492 DOI: 10.4037/ccn2009953] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Kristin E Sandau
- Department of Nursing, Bethel University, St Paul, Minnesota 55112, USA.
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Sandau KE, Smith M. Continuous ST-segment monitoring: protocol for practice. Crit Care Nurse 2009; 29:39-49; quiz following 50. [PMID: 19648597 DOI: 10.4037/ccn2009703] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Kristin E Sandau
- Department of Nursing, Bethel University, St Paul, MN 55112, USA.
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Kozik TM, Wung SF. Cardiac arrest from acquired long QT syndrome: a case report. Heart Lung 2008; 38:238-42. [PMID: 19486793 DOI: 10.1016/j.hrtlng.2008.08.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2008] [Revised: 07/11/2008] [Accepted: 08/19/2008] [Indexed: 11/30/2022]
Abstract
BACKGROUND Many classes of medications initiated by clinicians can cause adverse events, such as cardiac disturbances. One such adverse outcome is that of acquired long QT syndrome, which can lead to arrhythmias and sudden death. When health care practitioners were surveyed about their knowledge of this condition, 20% indicated they knew very little about long QT syndromes and more than 30% failed to check on current therapy before prescribing QT-prolonging medications. METHODS A case will be presented to illustrate the importance of understanding this syndrome. RESULTS The causes and pathophysiology of acquired long QT syndrome are discussed, and the resources for clinicians to obtain more information and growing number of offending medications leading to acquired long QT syndrome are provided. CONCLUSIONS On-going education is needed to heighten awareness in the health care community to prevent the deleterious outcomes associated with medication induced acquired long QT syndrome.
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Affiliation(s)
- Teri M Kozik
- Saint Mary's Regional Medical Center, 235 W. 6th Street, Reno NV 89503, USA
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Rauen CA, Chulay M, Bridges E, Vollman KM, Arbour R. Seven Evidence-Based Practice Habits: Putting Some Sacred Cows Out to Pasture. Crit Care Nurse 2008. [DOI: 10.4037/ccn2008.28.2.98] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Carol A. Rauen
- Carol A. Rauen is an independent critical care clinical nurse specialist in Silver Spring, Maryland
| | - Marianne Chulay
- Marianne Chulay is a consultant in clinical research and critical care nursing in Gainesville, Florida
| | - Elizabeth Bridges
- Elizabeth Bridges is an assistant professor at the University of Washington School of Nursing in Seattle and a clinical nurse researcher at the University of Washington Medical Center in Seattle
| | - Kathleen M. Vollman
- Kathleen M. Vollman is a clinical nurse specialist, educator, and consultant at Advancing Nursing LLC in Northville, Michigan
| | - Richard Arbour
- Richard Arbour is a critical care clinical nurse specialist at Albert Einstein Medical Center in Philadelphia, Pennsylvania
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Pulling It All Together. AACN Adv Crit Care 2007. [DOI: 10.1097/01.aacn.0000284431.30287.aa] [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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Narrow QRS Complex Tachycardias. AACN Adv Crit Care 2007. [DOI: 10.1097/01.aacn.0000284427.78707.0c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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