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Alkhatib H, Samarah M, Alkhasawneh S, Alqawasmeh J, Aljamaliah A, Alhajali E, Alzeq G, Alafafsheh A. Patient dependency in the Oncology Emergency Room. Reliability and validity of the Jones Dependency Tool. Int Emerg Nurs 2024; 73:101418. [PMID: 38368679 DOI: 10.1016/j.ienj.2024.101418] [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: 09/20/2023] [Revised: 01/02/2024] [Accepted: 01/27/2024] [Indexed: 02/20/2024]
Abstract
BACKGROUND Patients' dependency has significant nursing implications. Nurse skill mix and staffing levels may be addressed more successfully when dependency can be measured. In the oncology emergency room, a valid and reliable tool that measures patients' dependency on nursing care is necessary. AIM This study aimed to evaluate the psychometric properties of the Jones Dependency Tool in Adult Oncology Emergency Setting at a Cancer Center in Jordan. METHODS A prospective cross-sectional design was used to test the Reliability and Validity of the Jones Dependency Tool among patients with cancer visiting the ED. A sample of 79 patients were assessed using the JDT and Conner's tool. RESULTS Jones Dependency Tool showed a high level of validity and reliability. In terms of reliability, which was tested by test-re-test, Intra-class correlation (ICC) = 0.902 which indicates good to excellent. The tool demonstrates a high validity evidenced by its correlation with a criterion (p < 0.001). CONCLUSION The study demonstrated that the JDT tool is a valid and reliable tool that can be used to quantify a patient's dependency level and the level of nursing care they need, assisting in the selection of the ideal staffing level in terms of quantity and skill mix.
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Affiliation(s)
- Hisham Alkhatib
- King Hussein Caner Center, P.O. Box: 1269, Amman, 11941, Jordan.
| | | | | | | | | | - Esra'a Alhajali
- King Hussein Caner Center, P.O. Box: 1269, Amman, 11941, Jordan
| | - Ghadeer Alzeq
- King Hussein Caner Center, P.O. Box: 1269, Amman, 11941, Jordan
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Enayati M, Heaton H, Wang R, Marisamy G, Farahani NZ, Hellmich T, Pasupathy K, Kim B, Nestler D. Trauma Activation Responsiveness: An RFID-enabled trauma flowsheet. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2020:5718-5721. [PMID: 33019273 DOI: 10.1109/embc44109.2020.9175880] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Manually documented trauma flow sheets contain critical information regarding trauma resuscitations in the emergency department (ED). The American College of Surgeons (ACS) has enforced certain thresholds on trauma surgeons' arrival time to the trauma bay. Due to the complex and fast-paced ED environment, this information can be easily overlooked or erroneously recorded, affecting compliance with ACS standards. This paper is a retrospective study conducted at a Level I trauma center equipped with an RFID system to investigate an automated solution to evaluate and improve the accuracy of measuring trauma surgeons' response time to the highest level (red) trauma activations.Clinical Relevance- Demonstration of timely response to trauma activations is required for ACS verification. As real-time location systems become more prevalent, they may improve a hospital's ability to report accurate response times for trauma team activations.
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Iordache S, Elseviers M, De Cock R, Van Rompaey B. Development and validation of an assessment tool for nursing workload in emergency departments. J Clin Nurs 2019; 29:794-809. [PMID: 31737962 DOI: 10.1111/jocn.15106] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Revised: 10/31/2019] [Accepted: 11/09/2019] [Indexed: 11/28/2022]
Abstract
AIMS To develop the Workload Assessment of Nurses on Emergency (WANE) tool and to test its validity and reliability to measure nursing workload in the emergency departments. BACKGROUND Ensuring safe nursing staffing in emergency departments is a worldwide concern. There is no valid tool to measure emergency nursing workload in order to determine the needed nurse staffing in the emergency departments. DESIGN A two-year, cross-sectional, multicenter study. METHODS Workload was operationalised as the time nurses spent with nursing activities, classified into direct and indirect care. A board of experts provided content validity. Construct validity was evaluated by examining the WANE's correlations and group-discriminations patterns within the network of variables known to determine nursing workload. Reliability was assessed by the tool's ability to yield consistent results across repeated measurements. Reporting of this research adheres to STROBE guidelines. RESULTS Seven emergency departments, including 3,024 patients, were involved in the first year and 18 emergency departments and 7,442 patients in the second year. Direct care time correlated positively and significantly with patient dependency on nursing care, age and length of emergency department stay and discriminated between the categories of dependency on nursing care, age and hospitalisation. Both direct and indirect care time discriminated between the emergency departments according to different patient care profiles and unit characteristics. WANE showed consistent results across measurements. CONCLUSIONS Results support the WANE's reliability and validity to measure emergency nursing workload. This tool could be used to determine, on patient and unit, a baseline nurse staffing and the nursing skill mix in the emergency departments. WANE is also an evidence-based management tool for benchmarking purposes. RELEVANCE TO CLINICAL PRACTICE The use of an evidence-based workload tool in making staffing decisions in emergency departments is crucial to ensure safe patient care and prevent work overload in nursing staff.
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Affiliation(s)
- Steluta Iordache
- Faculty of Medicine and Health Sciences, Division of Nursing Science and Midwifery, Centre for Research and Innovation in Care, University of Antwerp, Wilrijk, Belgium
| | - Monique Elseviers
- Faculty of Medicine and Health Sciences, Division of Nursing Science and Midwifery, Centre for Research and Innovation in Care, University of Antwerp, Wilrijk, Belgium.,Clinical Pharmacology, Heymans Institute, University of Ghent, Ghent, Belgium
| | - Rita De Cock
- Nursing Department, Imelda Hospital, Bonheiden, Belgium
| | - Bart Van Rompaey
- Faculty of Medicine and Health Sciences, Division of Nursing Science and Midwifery, Centre for Research and Innovation in Care, University of Antwerp, Wilrijk, Belgium.,Department of Health and Social Care, Artesis Plantijn University College of Antwerp, Merksem, Belgium
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Zaerpour F, Bischak DP, Menezes MBC, McRae A, Lang ES. Patient classification based on volume and case-mix in the emergency department and their association with performance. Health Care Manag Sci 2019; 23:387-400. [PMID: 31446556 DOI: 10.1007/s10729-019-09495-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2019] [Accepted: 07/25/2019] [Indexed: 11/27/2022]
Abstract
Predicting daily patient volume is necessary for emergency department (ED) strategic and operational decisions, such as resource planning and workforce scheduling. For these purposes, forecast accuracy requires understanding the heterogeneity among patients with respect to their characteristics and reasons for visits. To capture the heterogeneity among ED patients (case-mix), we present a patient coding and classification scheme (PCCS) based on patient demographics and diagnostic information. The proposed PCCS allows us to mathematically formalize the arrival patterns of the patient population as well as each class of patients. We can then examine the volume and case-mix of patients presenting to an ED and investigate their relationship to the ED's quality and time-based performance metrics. We use data from five hospitals in February, July and November for the years of 2007, 2012, and 2017 in the city of Calgary, Alberta, Canada. We find meaningful arrival time patterns of the patient population as well as classes of patients in EDs. The regression results suggest that patient volume is the main predictor of time-based ED performance measures. Case-mix is, however, the key predictor of quality of care in EDs. We conclude that considering both patient volume and the mix of patients are necessary for more accurate strategic and operational planning in EDs.
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Affiliation(s)
- Farzad Zaerpour
- Faculty of Business and Economics, The University of Winnipeg, Winnipeg, MB, R3B 2E9, Canada.
| | - Diane P Bischak
- Haskayne School of Business, University of Calgary, 2500 University DR NW, Calgary, AB, Canada
| | - Mozart B C Menezes
- Faculty of Supply Chain and Operations Management, NEOMA Business School, 1 Rue du Maréchal Juin, 76130, Mont-Saint-Aignan, France
| | - Andrew McRae
- Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, Alberta, Canada
| | - Eddy S Lang
- Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, Alberta, Canada
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Benda NC, Blumenthal HJ, Hettinger AZ, Hoffman DJ, LaVergne DT, Franklin ES, Roth EM, Perry SJ, Bisantz AM. Human Factors Design in the Clinical Environment: Development and Assessment of an Interface for Visualizing Emergency Medicine Clinician Workload. IISE Trans Occup Ergon Hum Factors 2018. [DOI: 10.1080/24725838.2018.1522392] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Affiliation(s)
- Natalie C. Benda
- National Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health, 3007 Tilden Street, NW, Suite 7M, Washington, DC 20008, USA
- Department of Industrial and Systems Engineering, State University of New York at Buffalo, Buffalo, New York, USA
| | - H. Joseph Blumenthal
- National Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health, 3007 Tilden Street, NW, Suite 7M, Washington, DC 20008, USA
| | - A. Zachary Hettinger
- National Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health, 3007 Tilden Street, NW, Suite 7M, Washington, DC 20008, USA
- Department of Emergency Medicine, Georgetown University School of Medicine, Washington, DC, USA
| | - Daniel J. Hoffman
- National Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health, 3007 Tilden Street, NW, Suite 7M, Washington, DC 20008, USA
| | - David T. LaVergne
- Department of Industrial and Systems Engineering, State University of New York at Buffalo, Buffalo, New York, USA
| | - Ella S. Franklin
- National Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health, 3007 Tilden Street, NW, Suite 7M, Washington, DC 20008, USA
- School of Nursing, The George Washington University, Washington, DC, USA
| | | | - Shawna J. Perry
- Department of Emergency Medicine, University of Florida, Jacksonville, Florida, USA
| | - Ann M. Bisantz
- Department of Industrial and Systems Engineering, State University of New York at Buffalo, Buffalo, New York, USA
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Emergency nursing workload and patient dependency in the ambulance bay: A prospective study. ACTA ACUST UNITED AC 2016; 19:210-216. [DOI: 10.1016/j.aenj.2016.09.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2016] [Revised: 09/16/2016] [Accepted: 09/17/2016] [Indexed: 11/23/2022]
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Recio-Saucedo A, Pope C, Dall'Ora C, Griffiths P, Jones J, Crouch R, Drennan J. Safe staffing for nursing in emergency departments: evidence review. Emerg Med J 2015; 32:888-94. [DOI: 10.1136/emermed-2015-204936] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Accepted: 07/08/2015] [Indexed: 11/03/2022]
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Siddiqui I, Whittingham B, Meadowcroft K, Richardson M, Cooper JC, Belcher J, Morris E, Ismail KMK. Developing Objective Metrics for Unit Staffing (DOMUS) study. BMJ Open 2014; 4:e005398. [PMID: 25217367 PMCID: PMC4163650 DOI: 10.1136/bmjopen-2014-005398] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE Safe midwifery staffing levels on delivery suites is a priority area for any maternity service. Escalation policies are tools that provide an operational response to emergency pressures. The aim of this study was to assess the feasibility of using a scoring system to contemporaneously assess the required staffing level based on demand and use this to determine delivery suite escalation level and utilise the information generated regarding clinical activity (Demand) and staffing levels (Capacity) to generate unit-specific calculation for the actual number of midwifery staff required. SETTING A maternity unit of a university-affiliated tertiary referral hospital. DESIGN Over a 12-month period, specifically designed scoring sheets were completed by delivery suite shift co-ordinators four times a day (04:00, 10:00, 16:00 and 22:00). Based on the dependency score (Demand) and the number of midwifery staff available (Capacity), an escalation level was determined for each shift. The 80th centile of the demand was used to determine optimal capacity. RESULTS A total of 1160 scoring sheets were completed. Average staff number throughout the year on any shift was 7 (range 3-11). Average dependency score was 7 (range 1-14). The 80th centile for demand was calculated to be 11. CONCLUSIONS This study stresses the importance and usefulness of a simple tool that can be used to determine the level of escalation on delivery suite based on an objective scoring system and can also be used to determine the appropriate staffing on delivery suite.
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Affiliation(s)
- I Siddiqui
- University Hospital of North Staffordshire NHS Trust, Stoke, UK
| | - B Whittingham
- University Hospital of North Staffordshire NHS Trust, Stoke, UK
| | - K Meadowcroft
- University Hospital of North Staffordshire NHS Trust, Stoke, UK
| | - M Richardson
- University Hospital of North Staffordshire NHS Trust, Stoke, UK
| | - J C Cooper
- University Hospital of North Staffordshire NHS Trust, Stoke, UK
| | - J Belcher
- Department of Primary Care Sciences, Arthritis Research UK Primary Care Centre, Keele University, Staffordshire, Keele, UK
| | - E Morris
- Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, UK
| | - K M K Ismail
- College of Medical & Dental Sciences, Birmingham centre for Women's and Children's Health, School of Clinical & Experimental Medicine, University of Birmingham, Birmingham, UK Birmingham Women's NHS Foundation Trust, Birmingham, UK
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Williams G, Crilly J, Souter J, Veach K, Good N. A state wide validation and utilisation study of the Queensland emergency nursing workforce tool. J Nurs Manag 2013; 22:1076-88. [DOI: 10.1111/jonm.12063] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/08/2013] [Indexed: 11/28/2022]
Affiliation(s)
- Ged Williams
- Gold Coast Health Service District; Gold Coast Queensland Australia
- Health Practice Innovation; Griffith Health Institute; Griffith University; Gold Coast Queensland Australia
| | - Julia Crilly
- Health Practice Innovation; Griffith Health Institute; Griffith University; Gold Coast Queensland Australia
- State Wide Emergency Department Clinical Network; Gold Coast Hospital; Southport Queensland Australia
| | - Jeffrey Souter
- Nursing Clinical Support Unit; Townsville Hospital; Townsville Queensland Australia
| | - Kate Veach
- Business Planning Framework Project; Nursing and Midwifery Office; Brisbane Queensland Australia
| | - Norm Good
- Division of Mathematics; Informatics & Statistics; CSIRO; Royal Brisbane and Women's Hospital; Herston Queensland Australia
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Varndell W, MacGregor C, Gallagher R, Fry M. Measuring patient dependency—Performance of the Jones Dependency Tool in an Australian Emergency Department. ACTA ACUST UNITED AC 2013; 16:64-72. [DOI: 10.1016/j.aenj.2013.04.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2012] [Revised: 04/16/2013] [Accepted: 04/16/2013] [Indexed: 11/28/2022]
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Bracken M, McLoughlin K, McGilloway S, McMahon E. Use of dependency and prioritization tools by clinical nurse specialists in palliative care: an exploratory study. Int J Palliat Nurs 2012; 17:599-606. [PMID: 22240742 DOI: 10.12968/ijpn.2011.17.12.599] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
AIMS The principal aim was to assess the utility of three needs assessment/dependency tools for use in community-based palliative care services. Specific objectives were to assess a sample of patients receiving specialist palliative care community nursing using these tools, to assess the predictive ability of each tool, and to explore the utility of prioritizing and measuring patient dependency from a clinical nurse specialist (CNS) perspective. METHOD In phase 1, 22 community-based CNSs completed the Vale prioritization tool for all patients visited during a 3-month period (n=162). They also completed either the Graves and Payne (2007) or the Birch et al (1997) dependency tool after each visit. In phase 2 a focus group (n=8) and two one-to-one interviews with CNS participants explored the perceived utility of all three tools. RESULTS The Vale prioritization tool appeared to be the most useful for prioritizing patient need and managing workload. Statistical analysis highlighted minimal differences between the two dependency tools, neither of which predicted length of visit. Three themes were identified from phase 2: difficulties with routine administration, points of divergence between the two dependency tools, and workload concerns. CONCLUSION While the Vale prioritization tool emerged as the most useful, the findings raise questions about the overall utility and practical application of these kinds of tools with community-based palliative care patients. Further research is needed to identify/develop, adapt, and evaluate appropriate, setting-specific dependency tools for use with this population.
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Abstract
BACKGROUND The volume and duration of stay of the critically ill in the emergency department (ED) is increasing and is affected by factors including case-mix, overcrowding, lack of available and staffed intensive care beds and an ageing population. The purpose of this study was to describe the clinical activity associated with these high-acuity patients and to quantify resource utilization by this patient group. METHODS The study was a retrospective review of ED notes from all patients referred directly to the intensive care team over a 6-month period from April to September 2004. We applied a workload measurement tool, Therapeutic Intervention Scoring System (TISS)-28, which has been validated as a surrogate marker of nursing resource input in the intensive care setting. A nurse is considered capable of delivering nursing activities equal to 46 TISS-28 points in each 8-h shift. RESULTS The median score from our 69 patients was 19 points per patient. Applying TISS-28 methodology, we estimated that 3 h 13 min nursing time would be spent on a single critically ill ED patient, with a TISS score of 19. This is an indicator of the high levels of personnel resources required for these patients in the ED. ED-validated models to quantify nursing and medical staff resources used across the spectrum of ED care is needed, so that staffing resources can be planned and allocated to match service demands.
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Dunnion ME, Griffin M. Care planning in the emergency department. Int Emerg Nurs 2009; 18:67-75. [PMID: 20382367 DOI: 10.1016/j.ienj.2009.10.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2008] [Revised: 08/14/2009] [Accepted: 10/03/2009] [Indexed: 11/27/2022]
Abstract
There are many demands placed on staff working in emergency departments such as the currently witnessed overcrowding, bed shortages and long waiting times for patients. Despite these demands nursing care needs to be carefully assessed, planned and documented. This study aimed to examine attitudes of staff towards the use of a nursing care plan in the emergency department. The sample comprised the total population (n=38) of all nursing staff working in an emergency department at one regional general hospital in the Republic of Ireland. The method adopted was a survey approach which employed the use of standardised questionnaires comprising both open and closed questioning styles. Raw statistical data were analysed using SPSS for Windows while the qualitative data arising from the open-ended questions were manually analysed for themes. The data obtained in this study identified that care plans were valued by respondents, stating that they contribute to holism, increased nurse/patient contact time and better communication. The findings also identified that there is a need for continuing education, further research and a need to address issues in relation to specific patient groups, including paediatrics, minor injuries, mental health and the elderly attending the emergency department.
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Affiliation(s)
- Mary E Dunnion
- Department of Nursing and Health Studies, Letterkenny Institute of Technology, Co. Donegal, Ireland.
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Triage with the French Emergency Nurses Classification in Hospital scale: reliability and validity. Eur J Emerg Med 2009; 16:61-7. [DOI: 10.1097/mej.0b013e328304ae57] [Citation(s) in RCA: 56] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Williams S, Crouch R. Emergency department patient classification systems: A systematic review. ACTA ACUST UNITED AC 2006; 14:160-70. [PMID: 16904322 DOI: 10.1016/j.aaen.2006.06.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2006] [Revised: 06/15/2006] [Accepted: 06/21/2006] [Indexed: 11/28/2022]
Abstract
BACKGROUND The emergency department is a dynamic environment with a high throughput of patients. The clinical stability of patients varies considerably. In order to provide optimal care for patients a responsive staffing pattern is required. There is a need for a valid and reliable, prospective, emergency department patient classification system to set adequate nurse staffing levels in the UK. AIMS AND OBJECTIVES To conduct a systematic review of the literature and determine the validity, reliability, strengths and weaknesses of emergency department patient classification systems. METHODS The following electronic databases were searched for years 1985-2004: MEDLINE; CINAHL; COCHRANE Library databases DARE, CDSR, CCTR, BioMedNet Reviews, National Research Register (NRR). Manual searches were also conducted and relevant references retrieved from those listed in key papers, reports, theses and dissertations. Studies were also retrieved by contacting researchers in the field. RESULTS Twelve patient classification systems met all the inclusion criteria. Only three systems reported evidence of good validity and reliability: the ED Patient Needs Matrix developed in the US, the Conner's Tool (a modified version of the ED Patient Needs Matrix) developed in Australia and the Jones Dependency Tool developed in the UK. CONCLUSION There are very few patient classification systems developed for use in the ED setting that have demonstrated good validity and reliability. The Jones Dependency Tool is a simple, easy to use prospective, patient classification system that has demonstrated good validity and reliability in the UK.
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Affiliation(s)
- Susan Williams
- Centre for Primary Health Care Studies, Warwick Medical School, University of Warwick, Coventry CV4 7AL, United Kingdom
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