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Ironside-Smith R, Noë B, Allen SM, Costello S, Turner LD. Motif discovery in hospital ward vital signs observation networks. NETWORK MODELING AND ANALYSIS IN HEALTH INFORMATICS AND BIOINFORMATICS 2024; 13:55. [PMID: 39386086 PMCID: PMC11458707 DOI: 10.1007/s13721-024-00490-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 08/27/2024] [Accepted: 09/18/2024] [Indexed: 10/12/2024]
Abstract
Vital signs observations are regular measurements used by healthcare staff to track a patient's overall health status on hospital wards. We look at the potential in re-purposing aggregated and anonymised hospital data sources surrounding vital signs recording to provide new insights into how care is managed and delivered on wards. In this paper, we conduct a retrospective longitudinal observational study of 770,720 individual vital signs recordings across 20 hospital wards in South Wales (UK) and present a network modelling framework to explore and extract behavioural patterns via analysis of the resulting network structures at a global and local level. Self-loop edges, dyad, triad, and tetrad subgraphs were extracted and evaluated against a null model to determine individual statistical significance, and then combined into ward-level feature vectors to provide the means for determining notable behaviours across wards. Modelling data as a static network, by aggregating all vital sign observation data points, resulted in high uniformity but with the loss of important information which was better captured when modelling the static-temporal network, highlighting time's crucial role as a network element. Wards mostly followed expected patterns, with chains or stand-alone supplementary observations by clinical staff. However, observation sequences that deviate from this are revealed in five identified motif subgraphs and 6 anti-motif subgraphs. External ward characteristics also showed minimal impact on the relative abundance of subgraphs, indicating a 'superfamily' phenomena that has been similarly seen in complex networks in other domains. Overall, the results show that network modelling effectively captured and exposed behaviours within vital signs observation data, and demonstrated uniformity across hospital wards in managing this practice.
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Affiliation(s)
- Rupert Ironside-Smith
- School of Computer Science and Informatics, Cardiff University, Abacws, Senghennydd Road, Cardiff, CF24 4AG UK
| | - Beryl Noë
- School of Computer Science and Informatics, Cardiff University, Abacws, Senghennydd Road, Cardiff, CF24 4AG UK
| | - Stuart M. Allen
- School of Computer Science and Informatics, Cardiff University, Abacws, Senghennydd Road, Cardiff, CF24 4AG UK
| | - Shannon Costello
- Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King’s College London, 57 Waterloo Road, London, SE1 8WA UK
| | - Liam D. Turner
- School of Computer Science and Informatics, Cardiff University, Abacws, Senghennydd Road, Cardiff, CF24 4AG UK
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Connell CJ, Craig S, Crock C, Kuhn L, Morphet J, Unwin M. Vital signs monitoring in Australasian emergency departments: Development of a consensus statement from ACEM and CENA. Australas Emerg Care 2024; 27:207-217. [PMID: 38772785 DOI: 10.1016/j.auec.2024.04.001] [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: 12/10/2023] [Revised: 04/08/2024] [Accepted: 04/08/2024] [Indexed: 05/23/2024]
Abstract
BACKGROUND Emergency Department (ED) care is provided for a diverse range of patients, clinical acuity and conditions. This diversity often calls for different vital signs monitoring requirements. Requirements often change depending on the circumstances that patients experience during episodes of ED care. AIM To describe expert consensus on vital signs monitoring during ED care in the Australasian setting to inform the content of a joint Australasian College for Emergency Medicine (ACEM) and College of Emergency Nursing Australasia (CENA) position statement on vital signs monitoring in the ED. METHOD A 4-hour online nominal group technique workshop with follow up surveys. RESULTS Twelve expert ED nurses and doctors from adult, paediatric and mixed metropolitan and regional ED and research facilities spanning four Australian states participated in the workshop and follow up surveys. Consensus building generated 14 statements about vital signs monitoring in ED. Good consensus was reached on whether vital signs should be assessed for 15 of 19 circumstances that patients may experience. CONCLUSION This study informed the creation of a joint position statement on vital signs monitoring in the Australasian ED setting, endorsed by CENA and ACEM. Empirical evidence is needed for optimal, safe and achievable policy on this fundamental practice.
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Affiliation(s)
- Clifford J Connell
- Monash Nursing and Midwifery, Monash University, PO Box 527, Frankston, VIC 3199, Australia; Monash Emergency Research Collaborative, Monash Health, Clayton, Victoria, Australia.
| | - Simon Craig
- Department of Paediatrics, School of Clinical Sciences at Monash Health, Monash University; Paediatric Emergency Department, Monash Medical Centre, Monash Health; Clinical Sciences, Murdoch Children's Research Institute, Parkville, Victoria, Australia; Monash Emergency Research Collaborative, Monash Health, Clayton, Victoria, Australia.
| | - Carmel Crock
- Emergency Department, The Royal Victorian Eye and Ear Hospital, Gisborne St, East Melbourne, VIC 3002, Australia.
| | - Lisa Kuhn
- School of Nursing, Midwifery and Paramedicine, Australian Catholic University, The Daniel Mannix Building, 8-14 Brunswick St, Fitzroy, VIC 3065, Australia; Monash Emergency Research Collaborative, Monash Health, Clayton, Victoria, Australia.
| | - Julia Morphet
- Monash Nursing and Midwifery, Monash University, PO Box 527, Frankston, VIC 3199, Australia.
| | - Maria Unwin
- Menzies Institute for Medical Research, University of Tasmania, c/- 41 Frankland St, Launceston, TAS 7250, Australia; Monash Emergency Research Collaborative, Monash Health, Clayton, Victoria, Australia.
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Briggs J, Kostakis I, Meredith P, Dall'ora C, Darbyshire J, Gerry S, Griffiths P, Hope J, Jones J, Kovacs C, Lawrence R, Prytherch D, Watkinson P, Redfern O. Safer and more efficient vital signs monitoring protocols to identify the deteriorating patients in the general hospital ward: an observational study. HEALTH AND SOCIAL CARE DELIVERY RESEARCH 2024; 12:1-143. [PMID: 38551079 DOI: 10.3310/hytr4612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
Background The frequency at which patients should have their vital signs (e.g. blood pressure, pulse, oxygen saturation) measured on hospital wards is currently unknown. Current National Health Service monitoring protocols are based on expert opinion but supported by little empirical evidence. The challenge is finding the balance between insufficient monitoring (risking missing early signs of deterioration and delays in treatment) and over-observation of stable patients (wasting resources needed in other aspects of care). Objective Provide an evidence-based approach to creating monitoring protocols based on a patient's risk of deterioration and link these to nursing workload and economic impact. Design Our study consisted of two parts: (1) an observational study of nursing staff to ascertain the time to perform vital sign observations; and (2) a retrospective study of historic data on patient admissions exploring the relationships between National Early Warning Score and risk of outcome over time. These were underpinned by opinions and experiences from stakeholders. Setting and participants Observational study: observed nursing staff on 16 randomly selected adult general wards at four acute National Health Service hospitals. Retrospective study: extracted, linked and analysed routinely collected data from two large National Health Service acute trusts; data from over 400,000 patient admissions and 9,000,000 vital sign observations. Results Observational study found a variety of practices, with two hospitals having registered nurses take the majority of vital sign observations and two favouring healthcare assistants or student nurses. However, whoever took the observations spent roughly the same length of time. The average was 5:01 minutes per observation over a 'round', including time to locate and prepare the equipment and travel to the patient area. Retrospective study created survival models predicting the risk of outcomes over time since the patient was last observed. For low-risk patients, there was little difference in risk between 4 hours and 24 hours post observation. Conclusions We explored several different scenarios with our stakeholders (clinicians and patients), based on how 'risk' could be managed in different ways. Vital sign observations are often done more frequently than necessary from a bald assessment of the patient's risk, and we show that a maximum threshold of risk could theoretically be achieved with less resource. Existing resources could therefore be redeployed within a changed protocol to achieve better outcomes for some patients without compromising the safety of the rest. Our work supports the approach of the current monitoring protocol, whereby patients' National Early Warning Score 2 guides observation frequency. Existing practice is to observe higher-risk patients more frequently and our findings have shown that this is objectively justified. It is worth noting that important nurse-patient interactions take place during vital sign monitoring and should not be eliminated under new monitoring processes. Our study contributes to the existing evidence on how vital sign observations should be scheduled. However, ultimately, it is for the relevant professionals to decide how our work should be used. Study registration This study is registered as ISRCTN10863045. Funding This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 17/05/03) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 6. See the NIHR Funding and Awards website for further award information.
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Affiliation(s)
- Jim Briggs
- Centre for Healthcare Modelling and Informatics, University of Portsmouth, Portsmouth, UK
| | - Ina Kostakis
- Centre for Healthcare Modelling and Informatics, University of Portsmouth, Portsmouth, UK
| | - Paul Meredith
- Research Department, Portsmouth Hospitals University NHS Trust, Portsmouth, UK
| | | | - Julie Darbyshire
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Stephen Gerry
- Centre for Statistics in Medicine, University of Oxford, Oxford, UK
| | | | - Jo Hope
- Health Sciences, University of Southampton, Southampton, UK
| | - Jeremy Jones
- Health Sciences, University of Southampton, Southampton, UK
| | - Caroline Kovacs
- Centre for Healthcare Modelling and Informatics, University of Portsmouth, Portsmouth, UK
| | | | - David Prytherch
- Centre for Healthcare Modelling and Informatics, University of Portsmouth, Portsmouth, UK
| | - Peter Watkinson
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Oliver Redfern
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
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McAlister FA, Youngson E, Rowe BH. Elevated Blood Pressures Are Common in the Emergency Department but Are They Important? A Retrospective Cohort Study of 30,278 Adults. Ann Emerg Med 2021; 77:425-432. [PMID: 33579586 DOI: 10.1016/j.annemergmed.2020.11.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 10/15/2020] [Accepted: 11/05/2020] [Indexed: 11/15/2022]
Abstract
STUDY OBJECTIVE We determine the frequency of elevated blood pressure (BP) readings in the emergency department (ED), the proportion of patients with prior or subsequent diagnosis of hypertension assigned in other settings, and the association between ED BP levels and cardiovascular outcomes after ED discharge. METHODS This was a retrospective cohort study using electronic medical records for all adults treated and released from a large-volume ED in 2016 that were linked to administrative records for all health care encounters in the province for 2 years before and after the index ED visit. The primary outcome measure was a composite of stroke or transient ischemic attack, acute coronary syndrome, new heart failure, or death. RESULTS Of 30,278 adults treated and released from the ED, 14,717 (48.6%) had elevated BP readings; 10,732 (72.9%) had no prior diagnosis of hypertension. Of the 3,480 patients with no prior diagnosis of hypertension but an ED BP greater than or equal to 160/100 mm Hg, 907 (26.1%) subsequently received a diagnosis of chronic hypertension or were prescribed antihypertensive therapy in other settings within 2 years. Among patients without a history of hypertension, those with an ED BP greater than or equal to 160/100 mm Hg were more likely to meet the composite outcome (stroke, transient ischemic attack, acute coronary syndrome, heart failure, or death) in the subsequent year (3.3% versus 2.5%) or 2 years (5.9% versus 3.8%) than those with ED BPs 120 to 139/80 to 89 mm Hg; however, after adjusting for age, sex, diabetes, atrial fibrillation, and prior cardiovascular disease, their risk was not elevated (adjusted hazard ratio 0.84; 95% confidence interval 0.71 to 1.004 during 2 years). CONCLUSION Elevated BP readings in the ED are common and are often the first time hypertension is detected; however, they were not associated with adverse cardiovascular outcomes within 2 years of the visit.
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Affiliation(s)
- Finlay A McAlister
- Division of General Internal Medicine, University of Alberta, Edmonton, Alberta, Canada; Alberta SPOR Support Unit Data Platform, University of Alberta, Edmonton, Alberta, Canada.
| | - Erik Youngson
- Alberta SPOR Support Unit Data Platform, University of Alberta, Edmonton, Alberta, Canada
| | - Brian H Rowe
- Department of Emergency Medicine and School of Public Health, University of Alberta, Edmonton, Alberta, Canada
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Valentino K, Campos GJ, Acker KA, Dolan P. Abnormal Vital Sign Recognition and Provider Notification in the Pediatric Emergency Department. J Pediatr Health Care 2020; 34:522-534. [PMID: 32709522 DOI: 10.1016/j.pedhc.2020.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Revised: 05/08/2020] [Accepted: 05/14/2020] [Indexed: 11/17/2022]
Abstract
INTRODUCTION Vital signs measurements aid in the early identification of patients at risk of clinical deterioration and determining the severity of illness. Health care providers rely on registered nurses to document vital signs and communicate abnormalities. The purpose of this project was to improve the provider notification process regarding abnormal vital signs in a pediatric emergency department. METHOD A best practice advisory (BPA) was piloted by the advanced practice providers in the pediatric emergency department. To evaluate the effects of the BPA, a mixed-methods study was employed. RESULTS Implementation of the BPA improved the provider notification process and enhanced clinical decision making. The percentage of patients discharged home with abnormal respiratory rates (10.9% vs. 5.9%, p = .31), abnormal temperatures (15.6% vs. 7.5%, p = .14), and abnormal heart rates (25% vs. 11.9%, p = .11) improved. DISCUSSION Creation and implementation of the BPA improved the abnormal vital sign communication process to providers at this single institution.
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Horvat Davey C, Dolansky MA, Singh MK, Aron DC. The interprofessional VA quality scholars program: Promoting predoctoral nursing scientists and their career trajectories. Nurs Outlook 2020; 69:221-227. [PMID: 32981670 DOI: 10.1016/j.outlook.2020.08.003] [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: 05/28/2020] [Revised: 07/27/2020] [Accepted: 08/17/2020] [Indexed: 11/18/2022]
Abstract
BACKGROUND The VA Quality Scholars (VAQS) program is an interprofessional fellowship that provides a unique opportunity for predoctoral nurse scientists to embed their work in quality improvement learning "laboratories" to inform their scholarship, science, and research. PURPOSE To describe the VAQS program in relation to promoting nursing science and predoctoral nurse scientist (PhD) career trajectories, and to propose policy implications. METHOD Data were collected on all predoctoral (PhD, DNP) nurses who entered and completed the VAQS program nationally. FINDINGS A total of 17 predoctoral nurses (11 PhD and 6 DNP) have completed the VAQS program. Ten predoctoral PhD nurses (91%) completed their degree while in the program. Nine predoctoral PhD nurses (82%) entered a postdoctoral fellowship, and many obtained positions as faculty at research-intensive universities postfellowship. DISCUSSION The knowledge, skills, and experiences gained by predoctoral nurse scientists from the VAQS's program contribute to their nursing research and professional career growth.
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Affiliation(s)
- Christine Horvat Davey
- VA Quality Scholar, Cleveland, OH; Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, OH.
| | - Mary A Dolansky
- Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, OH; Senior Faculty Scholar, VA Quality Scholars Program, Cleveland, OH
| | - Mamta K Singh
- Senior Faculty Scholar, VA Quality Scholars Program, Cleveland, OH; School of Medicine, Case Western Reserve University, Cleveland, OH
| | - David C Aron
- Senior Faculty Scholar, VA Quality Scholars Program, Cleveland, OH; School of Medicine, Case Western Reserve University, Cleveland, OH
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Dall'Ora C, Griffiths P, Hope J, Barker H, Smith GB. What is the nursing time and workload involved in taking and recording patients' vital signs? A systematic review. J Clin Nurs 2020; 29:2053-2068. [PMID: 32017272 DOI: 10.1111/jocn.15202] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 12/18/2019] [Accepted: 01/10/2020] [Indexed: 11/29/2022]
Abstract
AIMS AND OBJECTIVES To synthesise evidence regarding the time nurses take to monitor and record vital signs observations and to calculate early warning scores. BACKGROUND While the importance of vital signs' monitoring is increasingly highlighted as a fundamental means of maintaining patient safety and avoiding patient deterioration, the time and associated workload involved in vital signs activities for nurses are currently unknown. DESIGN Systematic review. METHODS A literature search was performed up to 17 December 2019 in CINAHL, Medline, EMBASE and the Cochrane Library using the following terms: vital signs; monitoring; surveillance; observation; recording; early warning scores; workload; time; and nursing. We included studies performed in secondary or tertiary ward settings, where vital signs activities were performed by nurses, and we excluded qualitative studies and any research conducted exclusively in paediatric or maternity settings. The study methods were compliant with the PRISMA checklist. RESULTS Of 1,277 articles, we included 16 papers. Studies described taking vital signs observations as the time to measure/collect vital signs and time to record/document vital signs. As well as mean times being variable between studies, there was considerable variation in the time taken within some studies as standard deviations were high. Documenting vital signs observations electronically at the bedside was faster than documenting vital signs away from the bed. CONCLUSIONS Variation in the method(s) of vital signs measurement, the timing of entry into the patient record, the method of recording and the calculation of early warning scores values across the literature make direct comparisons of their influence on total time taken difficult or impossible. RELEVANCE TO CLINICAL PRACTICE There is a very limited body of research that might inform workload planning around vital signs observations. This uncertainty means the resource implications of any recommendation to change the frequency of observations associated with early warning scores are unknown.
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Affiliation(s)
- Chiara Dall'Ora
- School of Health Sciences, University of Southampton, Southampton, UK.,National Institute for Health Research Applied Research Collaboration (NIHR ARC) Wessex, Southampton, UK
| | - Peter Griffiths
- School of Health Sciences, University of Southampton, Southampton, UK.,National Institute for Health Research Applied Research Collaboration (NIHR ARC) Wessex, Southampton, UK.,Division of Innovative Care Research, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Sweden
| | - Joanna Hope
- School of Health Sciences, University of Southampton, Southampton, UK.,National Institute for Health Research Applied Research Collaboration (NIHR ARC) Wessex, Southampton, UK
| | - Hannah Barker
- School of Health Sciences, University of Southampton, Southampton, UK
| | - Gary B Smith
- Faculty of Health and Social Sciences, Bournemouth University, Bournemouth, UK
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Daniel ACQG, Veiga EV, Mafra ACCN. Association of blood pressure documentation with adverse outcomes in an emergency department in Brazil. Int Emerg Nurs 2019; 47:100787. [PMID: 31494075 DOI: 10.1016/j.ienj.2019.100787] [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: 12/13/2018] [Revised: 05/23/2019] [Accepted: 07/17/2019] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To associate blood pressure (BP) documentation with adverse outcomes in an emergency department (ED). METHODS This is a retrospective observational study, and 642 records of patients admitted to the ED of a tertiary hospital in Brazil were used. We included medical records of patients of both sexes aged over 18 years, who were allocated in general wards in the period December 2015-June 2016. Association between BP measurements with length of stay (LOS), worsening of clinical presentation, unplanned patient transfer, readmission, stroke or transient ischemic attack, cardiorespiratory arrest, and death were investigated. RESULTS Association was observed between worsening of clinical presentation and systolic (p = 0.003) or diastolic (p = 0.001) BP values. The association between LOS and worsening of clinical presentation with the number of BP measurements or mean time between BP measurements was statistically significant (p < 0.001). Unplanned patient transfer was associated with an increase in the number of BP measurements (p < 0.001). The mean time between BP measurements was higher among patients who returned to the ED within 48-72 h (p = 0.030). CONCLUSIONS The results of this study showed association between BP documentation with adverse outcomes in the ED, reinforcing the need to develop educational strategies regarding nursing records and monitoring of vital signs.
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Affiliation(s)
- Ana Carolina Queiroz Godoy Daniel
- Israelite Albert Einstein Hospital, Chácara Klabin Advanced Unit, Av. Dr. Ricardo Jafet, 1600, Vila Mariana, 14115-000 São Paulo, SP, Brazil.
| | - Eugenia Velludo Veiga
- Ribeirão Preto College of Nursing, University of São Paulo - Prof. Hélio Lourenço, 3900 - Vila Monte Alegre, 14040-902 Ribeirão Preto, SP, Brazil.
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Stanley IH, Simpson S, Wortzel HS, Joiner TE. Documenting suicide risk assessments and proportionate clinical actions to improve patient safety and mitigate legal risk. BEHAVIORAL SCIENCES & THE LAW 2019; 37:304-312. [PMID: 31063254 DOI: 10.1002/bsl.2409] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Revised: 01/23/2019] [Accepted: 03/29/2019] [Indexed: 06/09/2023]
Abstract
Few clinical practices are as important for simultaneously augmenting patient safety and mitigating legal risk as the judicious evaluation and stratification of a patient's risk for suicide, proportionate clinical actions based thereon taken by the healthcare provider, and contemporaneous documentation of the foregoing. In this article, we draw from our combined decades of multidisciplinary experience as a clinical psychologist, forensic psychiatrist, medical malpractice attorney, and clinical psychology trainee to discuss the documentation of suicide risk assessment and management as a conduit to patient safety and legal risk mitigation. We additionally highlight documentation as a core clinical competency across disciplines and note areas of improvement, such as increased training, to bolster documentation practices.
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Affiliation(s)
- Ian H Stanley
- Department of Psychology, Florida State University, Tallahassee, FL, USA
| | | | - Hal S Wortzel
- Departments of Psychiatry, Neurology, and Physical Medicine and Rehabilitation, University of Colorado School of Medicine, Denver, CO, USA
- Rocky Mountain Mental Illness Research, Education and Clinical Center (MIRECC), Rocky Mountain Regional Medical Center, Denver, CO, USA
| | - Thomas E Joiner
- Department of Psychology, Florida State University, Tallahassee, FL, USA
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Goldberg EM, Marks SJ, Merchant RC. National trends in the emergency department management of adult patients with elevated blood pressure from 2005 to 2015. JOURNAL OF THE AMERICAN SOCIETY OF HYPERTENSION : JASH 2018; 12:858-866. [PMID: 30396852 PMCID: PMC6226022 DOI: 10.1016/j.jash.2018.09.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Revised: 09/11/2018] [Accepted: 09/29/2018] [Indexed: 02/02/2023]
Abstract
Emergency department (ED)-based screening and referral of patients with elevated blood pressure (BP) are recommended by 2006 and 2013 American College of Emergency Physicians guidelines; however, it is unknown if these recommendations or disparities in care impact clinical practice. The objectives of the study were to assess temporal trends in antihypertensive prescriptions, outpatient follow-up referrals, and diagnosis of hypertension (HTN)/elevated BP and to identify potential disparities by patient characteristics. Using the 2005-2015 National Hospital Ambulatory Medical Care Survey, we examined the frequency and trends over time of antihypertensive prescriptions, outpatient follow-up referrals, and BP diagnoses for US ED visits by adult patients with an elevated triage BP and identified potential disparities in management by patient demography and socioeconomic status. Of the 594 million eligible ED visits by patients from 2005 to 2015, 1.2% (1.0%-1.4%) received antihypertensive prescriptions at discharge, 82.3% (80.0%-83.6%) outpatient follow-up referrals, and 2.1% (1.9%-2.4%) an HTN/elevated BP diagnosis. There were small annual increases over time in the odds of antihypertensive prescriptions at discharge (adjusted odds ratio [aOR] 1.05 [1.00-1.10]), follow-up referrals (aOR 1.04 [1.01-1.07]), and HTN/elevated BP diagnosis (aOR 1.05 [1.02-1.08]). For BPs ≥160/100 mm Hg, prescriptions were more common for Blacks (aOR 2.36 [1.93, 2.88]) and uninsured patients (aOR 1.81 [1.38, 2.38]), and diagnoses were more common for Blacks (aOR 1.95 [1.70, 2.24]) and uninsured patients (aOR 1.30 [1.09, 1.55]). These data suggest little change in and the need for improvement in the management of ED patients with elevated BP, despite the American College of Emergency Physicians guidelines, and raise concern about patient care disparities.
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Affiliation(s)
- Elizabeth M Goldberg
- Department of Emergency Medicine, Brown University, Providence, RI, USA; Department of Health Services, Policy & Practice, Brown University, Providence, RI, USA.
| | - Sarah J Marks
- Department of Emergency Medicine, Brown University, Providence, RI, USA
| | - Roland C Merchant
- Departments of Emergency Medicine & Epidemiology, Brown University, Providence, RI, USA
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11
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Trajkovska A, Farooq M, Richardson D. Management of abnormal observations in the emergency department: A review. Emerg Med Australas 2018; 31:569-574. [PMID: 30485904 DOI: 10.1111/1742-6723.13208] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2018] [Revised: 10/19/2018] [Accepted: 10/22/2018] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To assess utility and accuracy of general observation modified early warning score charts; and compare sensitivity and specificity of single- and multiple-parameter-based trigger scores on patient outcomes in the ED. METHODS Retrospective cohort clinical audit of all adult Modified Early Warning Score charts in the ED of a mixed tertiary hospital over 4 weeks. Data extracted included recorded parameters required to calculate Modified Early Warning Score and evidence of response. RESULTS Of 5901 ED presentations, medical records system identified 2482 Modified Early Warning Score; 347 were missing or blank. Of 2135 Modified Early Warning Score charts, 19.5% contained a calculation error, 51.9% had one or more missing parameters and 36.6% did not have usual/target systolic blood pressure recorded; with 25.1% (95% confidence interval [CI] 23.3-27.0) charts correctly completed. Four hundred and forty-three had a single-abnormal parameter of which chart review showed 96.6% (94.5-97.3) were identified as abnormal by nurses with 25.7% (21.9-30.0); only 5.6% (3.9-8.2) had evidence of recognition by medical staff. Modified Early Warning Score sensitivity and specificity for ward admission was 14.7% and 96.1%, respectively. Modelling using the dataset of a single-abnormal parameter suggested sensitivity and specificity of 31.6% and 85.8%, respectively. CONCLUSIONS This study highlights serious deficiencies in documentation of abnormal parameters and emergency response. It has also shown poor accuracy of both single- and multiple-parameter-based trigger scores in predicting patient outcomes within the ED. However, single-parameter-based trigger scores are twice as sensitive as total Modified Early Warning Score for admission and reduces documentation error by 23%.
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Affiliation(s)
- Aleksandra Trajkovska
- Australian National University School of Clinical Medicine Canberra Hospital Campus, Canberra, Australian Capital Territory, Australia.,Emergency Department, Canberra Hospital and Health Services, Canberra, Australian Capital Territory, Australia
| | - Munawar Farooq
- Australian National University School of Clinical Medicine Canberra Hospital Campus, Canberra, Australian Capital Territory, Australia.,Emergency Department, Canberra Hospital and Health Services, Canberra, Australian Capital Territory, Australia
| | - Drew Richardson
- Australian National University School of Clinical Medicine Canberra Hospital Campus, Canberra, Australian Capital Territory, Australia.,Emergency Department, Canberra Hospital and Health Services, Canberra, Australian Capital Territory, Australia
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12
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Ogero M, Ayieko P, Makone B, Julius T, Malla L, Oliwa J, Irimu G, English M. An observational study of monitoring of vital signs in children admitted to Kenyan hospitals: an insight into the quality of nursing care? J Glob Health 2018; 8:010409. [PMID: 29497504 PMCID: PMC5826085 DOI: 10.7189/jogh.08.010409] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Background Measurement and correct interpretation of vital signs is part of routine clinical care. Repeated measurement enhances early recognition of deterioration, may help prevent morbidity and mortality and is a standard of care in most countries. Objective To examine documentation of vital signs by clinicians for admissions to paediatric wards in Kenyan hospitals, to describe monitoring frequency by nurses and explore factors influencing frequency. Methods Vital signs information (temperature, respiratory and pulse rate) for the first 48 hours of admission was collected from case records of children admitted with non-surgical conditions to 13 Kenyan county hospitals between September 2013 and April 2016. A mixed effect negative binomial regression model was used to explore whether the severity of illness (indicated by danger signs or severe diagnostic episodes) is associated with increased vital signs observation frequency. Results We examined 54 800 admission episodes with an overall mortality 6.1%. Nurse to bed ratios were very low (1:10 to 1:41 across hospitals). Admitting clinicians documented all or no vital signs in 57.0% and 8.4% cases respectively. For respiratory and pulse rates there was pronounced even end-digit preference (an indicator of incorrect information) and high frequency recording of specific values (P < 0.001) suggesting approximation. Monitoring frequency was explored in 41 738 children. Those with inpatient stays ≥48 hours were expected to have a vital signs count of 18, hospitals varied but most did not achieve this benchmark (median 9, range 2-30). There were clinically small but significant associations between vital signs count and presence of multiple severe illnesses or presence of severe pallor (adjusted relative risk ratio = 1.04, P < 0.01, 95% confidence interval CI = 1.02-1.06 and 1.05, P = 0.02, 95% CI = 1.01-1.09, respectively). Conclusions Data suggest accurate admission measures are sometimes missing especially for pulse and respiratory rates, possibly linked to manual measurement. Monitoring frequency is often low in the high risk population studied probably indicating how quality of nursing care is undermined by considerable human resource shortages.
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Affiliation(s)
- Morris Ogero
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Nairobi, Kenya
| | - Philip Ayieko
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Nairobi, Kenya
| | - Boniface Makone
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Nairobi, Kenya
| | - Thomas Julius
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Nairobi, Kenya
| | - Lucas Malla
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Nairobi, Kenya
| | - Jacquie Oliwa
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Nairobi, Kenya
| | - Grace Irimu
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Nairobi, Kenya.,Department of Paediatrics and Child Health, University of Nairobi, Kenya
| | - Mike English
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Nairobi, Kenya.,Nuffield Department of Medicine, University of Oxford, Oxford, UK
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Daniel ACQG, Machado JP, Veiga EV. Blood pressure documentation in the emergency department. EINSTEIN-SAO PAULO 2017; 15:29-33. [PMID: 28444085 PMCID: PMC5433303 DOI: 10.1590/s1679-45082017ao3737] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2016] [Accepted: 10/28/2016] [Indexed: 12/04/2022] Open
Abstract
Objective To analyze the frequency of blood pressure documentation performed by nursing professionals in an emergency department. Methods This is a cross-sectional, observational, descriptive, and analytical study, which included medical records of adult patients admitted to the observation ward of an emergency department, between March and May 2014. Data were obtained through a collection instrument divided into three parts: patient identification, triage data, and blood pressure documentation. For statistical analysis, Pearson’s correlation coefficient was used, with a significance level of α<0.05. Results One hundred fifty-seven records and 430 blood pressure measurements were analyzed with an average of three measurements per patient. Of these measures, 46.5% were abnormal. The mean time from admission to documentation of the first blood pressure measurement was 2.5 minutes, with 42 minutes between subsequent measures. There is no correlation between the systolic blood pressure values and the mean time interval between blood pressure documentations: 0.173 (p=0.031). Conclusion The present study found no correlation between frequency of blood pressure documentation and blood pressure values. The frequency of blood pressure documentation increased according to the severity of the patient and decreased during the length of stay in the emergency department.
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Affiliation(s)
| | | | - Eugenia Velludo Veiga
- Escola de Enfermagem de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil
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14
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Abstract
Vital signs are the simplest, cheapest and probably the most important information gathered on patients in hospital. In this narrative review we present a large amount of evidence that vital signs are currently little valued, not regularly or accurately recorded, and frequently not acted on appropriately. It is probable that few hospitals would keep their accreditation with regulatory bodies if they collected and acted on their laboratory results in the same way that they collect and act on vital signs. Professional societies and regulatory bodies need to address this issue: if vital signs were more accurately and frequently measured, and acted on promptly and appropriately hospital care would be safer, better and cheaper.
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Affiliation(s)
- John Kellett
- Department of Emergency Medicine, Hospital of South West Jutland, Esbjerg, Denmark.
| | - Frank Sebat
- Faculty Internal Medicine, Mercy Medical Center, Redding, CA, USA
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15
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Skyttberg N, Chen R, Blomqvist H, Koch S. Exploring Vital Sign Data Quality in Electronic Health Records with Focus on Emergency Care Warning Scores. Appl Clin Inform 2017; 8:880-892. [PMID: 28853764 DOI: 10.4338/aci-2017-05-ra-0075] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2017] [Accepted: 07/03/2017] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Computerized clinical decision support and automation of warnings have been advocated to assist clinicians in detecting patients at risk of physiological instability. To provide reliable support such systems are dependent on high-quality vital sign data. Data quality depends on how, when and why the data is captured and/or documented. OBJECTIVES This study aims to describe the effects on data quality of vital signs by three different types of documentation practices in five Swedish emergency hospitals, and to assess data fitness for calculating warning and triage scores. The study also provides reference data on triage vital signs in Swedish emergency care. METHODS We extracted a dataset including vital signs, demographic and administrative data from emergency care visits (n=335027) at five Swedish emergency hospitals during 2013 using either completely paper-based, completely electronic or mixed documentation practices. Descriptive statistics were used to assess fitness for use in emergency care decision support systems aiming to calculate warning and triage scores, and data quality was described in three categories: currency, completeness and correctness. To estimate correctness, two further categories - plausibility and concordance - were used. RESULTS The study showed an acceptable correctness of the registered vital signs irrespectively of the type of documentation practice. Completeness was high in sites where registrations were routinely entered into the Electronic Health Record (EHR). The currency was only acceptable in sites with a completely electronic documentation practice. CONCLUSION Although vital signs that were recorded in completely electronic documentation practices showed plausible results regarding correctness, completeness and currency, the study concludes that vital signs documented in Swedish emergency care EHRs cannot generally be considered fit for use for calculation of triage and warning scores. Low completeness and currency were found if the documentation was not completely electronic.
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Affiliation(s)
- Niclas Skyttberg
- Niclas Skyttberg, MD, Health Informatics Centre, Department of Learning, Informatics, Management, and Ethics, Karolinska Institutet, 17177 Stockholm, Sweden, , Phone +46 700 02 87 74
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16
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Lambe K, Currey J, Considine J. Emergency nurses’ decisions regarding frequency and nature of vital sign assessment. J Clin Nurs 2017; 26:1949-1959. [DOI: 10.1111/jocn.13597] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/22/2016] [Indexed: 01/17/2023]
Affiliation(s)
- Katherine Lambe
- Nursing and Midwifery Education and Strategy, Monash Health; School of Nursing and Midwifery; Deakin University; Geelong Vic. Australia
| | - Judy Currey
- Centre for Quality and Patient Safety Research; School of Nursing and Midwifery; Deakin University; Geelong Vic. Australia
| | - Julie Considine
- Centre for Quality and Patient Safety Research; School of Nursing and Midwifery; Deakin University; Geelong Vic. Australia
- Centre for Quality and Patient Safety - Eastern Health Partnership; Australia
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The Veterans Affairs's Corporate Data Warehouse: Uses and Implications for Nursing Research and Practice. Nurs Adm Q 2016; 39:311-8. [PMID: 26340242 PMCID: PMC10071958 DOI: 10.1097/naq.0000000000000118] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The Department of Veterans Affairs Veterans Healthcare Administration (VHA) is supported by one of the largest integrated health care information systems in the United States. The VHA's Corporate Data Warehouse (CDW) was developed in 2006 to accommodate the massive amounts of data being generated from more than 20 years of use and to streamline the process of knowledge discovery to application. This article describes the developments in research associated with the VHA's transition into the world of Big Data analytics through CDW utilization. The majority of studies utilizing the CDW also use at least one other data source. The most commonly occurring topics are pharmacy/medications, systems issues, and weight management/obesity. Despite the potential benefit of data mining techniques to improve patient care and services, the CDW and alternative analytical approaches are underutilized by researchers and clinicians.
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Frequency of vital sign assessment and clinical deterioration in an Australian emergency department. ACTA ACUST UNITED AC 2016; 19:217-222. [DOI: 10.1016/j.aenj.2016.09.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Revised: 09/07/2016] [Accepted: 09/13/2016] [Indexed: 11/18/2022]
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Affiliation(s)
- Timothy L McGhee
- At Northern Arizona VA Healthcare System in Prescott, Ariz., Timothy L. McGhee and Stacie Solo are clinical nurses, Paul Weaver is an ED nurse manager, and Melissa Hobbs is the associate chief nurse for operations
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Burchill CN, Polomano R. Certification in emergency nursing associated with vital signs attitudes and practices. Int Emerg Nurs 2016; 27:17-23. [DOI: 10.1016/j.ienj.2015.12.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Revised: 11/27/2015] [Accepted: 12/08/2015] [Indexed: 11/27/2022]
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How to improve vital sign data quality for use in clinical decision support systems? A qualitative study in nine Swedish emergency departments. BMC Med Inform Decis Mak 2016; 16:61. [PMID: 27260476 PMCID: PMC4893236 DOI: 10.1186/s12911-016-0305-4] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2015] [Accepted: 06/01/2016] [Indexed: 11/10/2022] Open
Abstract
Background Vital sign data are important for clinical decision making in emergency care. Clinical Decision Support Systems (CDSS) have been advocated to increase patient safety and quality of care. However, the efficiency of CDSS depends on the quality of the underlying vital sign data. Therefore, possible factors affecting vital sign data quality need to be understood. This study aims to explore the factors affecting vital sign data quality in Swedish emergency departments and to determine in how far clinicians perceive vital sign data to be fit for use in clinical decision support systems. A further aim of the study is to provide recommendations on how to improve vital sign data quality in emergency departments. Methods Semi-structured interviews were conducted with sixteen physicians and nurses from nine hospitals and vital sign documentation templates were collected and analysed. Follow-up interviews and process observations were done at three of the hospitals to verify the results. Content analysis with constant comparison of the data was used to analyse and categorize the collected data. Results Factors related to care process and information technology were perceived to affect vital sign data quality. Despite electronic health records (EHRs) being available in all hospitals, these were not always used for vital sign documentation. Only four out of nine sites had a completely digitalized vital sign documentation flow and paper-based triage records were perceived to provide a better mobile workflow support than EHRs. Observed documentation practices resulted in low currency, completeness, and interoperability of the vital signs. To improve vital sign data quality, we propose to standardize the care process, improve the digital documentation support, provide workflow support, ensure interoperability and perform quality control. Conclusions Vital sign data quality in Swedish emergency departments is currently not fit for use by CDSS. To address both technical and organisational challenges, we propose five steps for vital sign data quality improvement to be implemented in emergency care settings. Electronic supplementary material The online version of this article (doi:10.1186/s12911-016-0305-4) contains supplementary material, which is available to authorized users.
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Teixeira CC, Boaventura RP, Souza ACS, Paranaguá TTDB, Bezerra ALQ, Bachion MM, Brasil VV. VITAL SIGNS MEASUREMENT: AN INDICATOR OF SAFE CARE DELIVERED TO ELDERLY PATIENTS. TEXTO & CONTEXTO ENFERMAGEM 2015. [DOI: 10.1590/0104-0707201500003970014] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
ABSTRACT The study's aim was to analyze the importance assigned by the nursing staff to the recording of vital signs of elderly inpatients, as well as perceived barriers and benefits. Data were collected through interviews held with 13 nurses and the reports were analyzed using content analysis, considering the health belief model proposed by Rosenstock. The categories that emerged from the analysis indicate barriers that interfere in the proper monitoring of vital signs, namely: workload, lack of availability and accessibility of basic equipment such as thermometers, stethoscopes and sphygmomanometers, which compromises the nursing assessment and leads to a greater susceptibility to incidents. Although the facility does not provide conditions to measure vital signs properly, the nursing staff attempts to do what is feasible given their current knowledge and context to achieve the best outcome possible in view of the resources available.
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