Gary B Smith1, Oliver Redfern2, Antonello Maruotti3, Alejandra Recio-Saucedo4, Peter Griffiths4. 1. Faculty of Health and Social Sciences, University of Bournemouth, Bournemouth, UK. Electronic address: gbsresearch@virginmedia.com. 2. Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, UK. 3. Dipartimento di Scienze Economiche, Libera Universita Maria Santissima Assunta, Roma, Italy. 4. NIHR Collaboration for Leadership in Applied Heath Research and Care (Wessex), University of Southampton, Southampton, UK.
Abstract
BACKGROUND: Responding to abnormalities in patients' vital signs is a fundamental aspect of nursing. However, failure to respond to patient deterioration is common and often leads to adverse patient outcomes. This study aimed to determine the association between Registered Nurse (RN) and Nursing Assistant (NA) staffing levels and the failure to respond promptly to patients' abnormal physiology. METHODS: This retrospective, observational study used routinely collected patients' vital signs and administrative data, including nursing staffing, from 32 general wards of an acute hospital in England between April 2012 and March 2015. Mixed-effects binomial regression was used to model the relationship between nurse staffing, measured as 'Hours per Patient Day' (HPPD), and a composite primary outcome representing failure to respond for patients with National Early Warning Score (NEWS) values ≥ 6 and ≥ 7. RESULTS: There were 189,123 NEWS values ≥ 6 and 114,504 NEWS values ≥ 7, affecting 28,098 patients. For patients with NEWS values ≥ 7, failure to respond was significantly associated with levels of RN HPPD ((IRR 0.98, 95% CI 0.96-0.99, p = 0.0001) but not NA HPPD (((IRR 0.99, 95%CI 0.96-1.01, p = 0.238). For patients with NEWS values ≥ 6, no such relationship existed. CONCLUSIONS: RN, but not NA, staffing levels influence the rates of failure to respond for patients with the most abnormal vital signs (NEWS values ≥ 7). These findings offer a possible explanation for the increasingly reported association between low RN staffing and an increased risk of patient death during a hospital admission.
BACKGROUND: Responding to abnormalities in patients' vital signs is a fundamental aspect of nursing. However, failure to respond to patient deterioration is common and often leads to adverse patient outcomes. This study aimed to determine the association between Registered Nurse (RN) and Nursing Assistant (NA) staffing levels and the failure to respond promptly to patients' abnormal physiology. METHODS: This retrospective, observational study used routinely collected patients' vital signs and administrative data, including nursing staffing, from 32 general wards of an acute hospital in England between April 2012 and March 2015. Mixed-effects binomial regression was used to model the relationship between nurse staffing, measured as 'Hours per Patient Day' (HPPD), and a composite primary outcome representing failure to respond for patients with National Early Warning Score (NEWS) values ≥ 6 and ≥ 7. RESULTS: There were 189,123 NEWS values ≥ 6 and 114,504 NEWS values ≥ 7, affecting 28,098 patients. For patients with NEWS values ≥ 7, failure to respond was significantly associated with levels of RN HPPD ((IRR 0.98, 95% CI 0.96-0.99, p = 0.0001) but not NA HPPD (((IRR 0.99, 95%CI 0.96-1.01, p = 0.238). For patients with NEWS values ≥ 6, no such relationship existed. CONCLUSIONS: RN, but not NA, staffing levels influence the rates of failure to respond for patients with the most abnormal vital signs (NEWS values ≥ 7). These findings offer a possible explanation for the increasingly reported association between low RN staffing and an increased risk of patient death during a hospital admission.
Authors: Hannah Hegarty; Thomas Knight; Catherine Atkin; Tash Kelly; Chris Subbe; Daniel Lasserson; Mark Holland Journal: BMC Health Serv Res Date: 2022-04-13 Impact factor: 2.655
Authors: Jasmeet Soar; Bernd W Böttiger; Pierre Carli; Keith Couper; Charles D Deakin; Therese Djärv; Carsten Lott; Theresa Olasveengen; Peter Paal; Tommaso Pellis; Gavin D Perkins; Claudio Sandroni; Jerry P Nolan Journal: Notf Rett Med Date: 2021-06-08 Impact factor: 0.826