James Cr Rippey1,2,3, Peter J Carr1,3,4, Marie Cooke3,4, Niall Higgins3,4, Claire M Rickard3,4. 1. Emergency Medicine, School of Primary, Aboriginal and Rural Health Care, Faculty of Medicine, Dentistry and Health Services, The University of Western Australia, Perth, Western Australia, Australia. 2. Emergency Department, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia. 3. Alliance for Vascular Access Teaching & Research (AVATAR) Group, Menzies Health Institute Queensland, Griffith University, Brisbane, Queensland, Australia. 4. NHMRC Centre for Excellence in Nursing, Centre for Health Practice Innovation, Menzies Health Institute Queensland, Griffith University, Brisbane, Queensland, Australia.
Abstract
OBJECTIVE: Failed attempts at peripheral i.v. cannula (PIVC) insertion in the ED are common. The psychological, physical and economic impact of these failures is significant. We sought to explore whether clinicians of differing experience levels can predict their own likelihood (clinician 'gestalt') of first-time cannula insertion success on any given patient. METHODS: Data analyses from a prospective self-reported study assessing risk factors for first-time insertion success in a tertiary adult ED. We constructed and compared two simple theoretical clinical decision algorithms in an attempt to improve first-time PIVC insertion success rates. RESULTS: This best algorithm identified a subgroup of 18% of the total PIVC population at higher risk of failure. This 18% comprised 57% of all PIVC failures, and implementation would result in a relative risk reduction of PIVC failure by 31%. CONCLUSIONS: When applied to our sample population, an algorithm relying on clinician gestalt to identify patients at high risk of PIVC failure had the greatest potential impact. These patients would be referred to expert PIVC inserters prior to, rather than after, failed attempts.
OBJECTIVE: Failed attempts at peripheral i.v. cannula (PIVC) insertion in the ED are common. The psychological, physical and economic impact of these failures is significant. We sought to explore whether clinicians of differing experience levels can predict their own likelihood (clinician 'gestalt') of first-time cannula insertion success on any given patient. METHODS: Data analyses from a prospective self-reported study assessing risk factors for first-time insertion success in a tertiary adult ED. We constructed and compared two simple theoretical clinical decision algorithms in an attempt to improve first-time PIVC insertion success rates. RESULTS: This best algorithm identified a subgroup of 18% of the total PIVC population at higher risk of failure. This 18% comprised 57% of all PIVC failures, and implementation would result in a relative risk reduction of PIVC failure by 31%. CONCLUSIONS: When applied to our sample population, an algorithm relying on clinician gestalt to identify patients at high risk of PIVC failure had the greatest potential impact. These patients would be referred to expert PIVC inserters prior to, rather than after, failed attempts.
Authors: Fredericus H J van Loon; Loes W E van Hooff; Hans D de Boer; Seppe S H A Koopman; Marc P Buise; Hendrikus H M Korsten; Angelique T M Dierick-van Daele; Arthur R A Bouwman Journal: J Clin Med Date: 2019-01-26 Impact factor: 4.241
Authors: Peter J Carr; James C R Rippey; Marie L Cooke; Niall S Higgins; Michelle L Trevenen; Aileen Foale; Gerben Keijzers; Claire M Rickard Journal: PLoS One Date: 2019-03-22 Impact factor: 3.240
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Authors: Paulo Santos-Costa; Liliana B Sousa; Fredericus H J van Loon; Anabela Salgueiro-Oliveira; Pedro Parreira; Margarida Vieira; João Graveto Journal: Int J Environ Res Public Health Date: 2020-10-17 Impact factor: 3.390