Combining the Nurse Intuition Patient Deterioration Scale with the National Early Warning Score provides more Net Benefit in predicting serious adverse events: A prospective cohort study in medical, surgical, and geriatric wards

被引:2
作者
Haegdorens, Filip [1 ,4 ]
Lefebvre, Julie [2 ]
Wils, Carolien [3 ]
Franck, Erik [1 ]
Van Bogaert, Peter [1 ]
机构
[1] Univ Antwerp, Workforce Management & Outcome Res Care WORC Grp, Ctr Res & Innovat Care CRIC, Antwerp, Belgium
[2] Algemeen Ziekenhuis Sint Maria Halle, Intens Care Unit, Halle, Belgium
[3] AZ Turnhout, Emergency Dept, Turnhout, Belgium
[4] Univ Antwerp Belgium, Ctr Res & Innovat Care CRIC, Workforce Management & Outcome Res Care WORC Grp, Campus Drie Eiken,DR333,Univ Pl 1, BE-2610 Antwerp, Belgium
关键词
Critical care nursing; Hospital rapid response team; Intuition; Medical-surgical nursing; Prospective studies; Risk management; AFFERENT LIMB;
D O I
10.1016/j.iccn.2024.103628
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
Objectives: This prospective cohort study aimed to assess the predictive value of the Nurse Intuition Patient Deterioration Scale (NIPDS) combined with the National Early Warning Score (NEWS) for identifying serious adverse events in patients admitted to diverse hospital wards. Research methodology/design: Data was collected between December 2020 and February 2021 in a 350 -bed acute hospital near Brussels, Belgium. The study followed a prospective cohort design, employing NIPDS alongside NEWS for risk assessment. Patients were monitored for 24 h post -registration, with outcomes recorded. Setting: The study was conducted in a hospital with a Rapid Response System (RRS) and electronic patient record wherein NEWS was routinely collected. Patients admitted to two medical, two surgical, and two geriatric wards were included. Main outcome measures: The primary outcome included death, urgent code calls, or unplanned ICU transfers within 24 h after NIPDS registration. The secondary outcome comprised rapid response team activations or changes in Do -Not -Resuscitate codes. Results: In a cohort of 313 patients, 10/313 and 31/313 patients reached the primary and secondary outcome respectively. For the primary outcome, NIPDS had a sensitivity of 0.900 and specificity of 0.927, while NEWS had a sensitivity of 0.300 and specificity of 0.974. Decision Curve Analysis demonstrated that NIPDS provided more Net Benefit across various Threshold Probabilities. Combining NIPDS and NEWS showed potential for optimizing rapid response systems. Especially in resource -constrained settings, NIPDS could be used as a calling criterion. Conclusion: The NIPDS displayed strong predictive capabilities for adverse events. Integrating NIPDS into existing rapid response systems can objectify nurse intuition, enhancing patient safety. Implications for clinical practice: The Nurse Intuition Patient Deterioration Scale (NIPDS) is a valuable tool for detecting patient deterioration. Implementing NIPDS alongside traditional scores such as NEWS can improve patient care and safety. The optimal NIPDS threshold to activate rapid response is >= 5.
引用
收藏
页数:7
相关论文
共 28 条
[1]   Predicting mortality in patients with suspected sepsis at the Emergency Department; A retrospective cohort study comparing qSOFA, SIRS and National Early Warning Score [J].
Brink, Anniek ;
Alsma, Jelmer ;
Verdonschot, Rob Johannes Carel Gerardus ;
Rood, Pleunie Petronella Marie ;
Zietse, Robert ;
Lingsma, Hester Floor ;
Schuit, Stephanie Catherine Elisabeth .
PLOS ONE, 2019, 14 (01)
[2]   A call for better doctor-nurse collaboration: A qualitative study of the experiences of junior doctors and nurses in escalating care for deteriorating ward patients [J].
Chua, Wei Ling ;
Legido-Quigley, Helena ;
Jones, Daryl ;
Hassan, Norasyikin Binte ;
Tee, Augustine ;
Liaw, Sok Ying .
AUSTRALIAN CRITICAL CARE, 2020, 33 (01) :54-61
[3]  
DeVita M.A., 2017, TXB RAPID RESPONSE S
[4]   "Identifying the hospitalised patient in crisis"-A consensus conference on the afferent limb of Rapid Response Systems [J].
DeVita, Michael A. ;
Smith, Gary B. ;
Adam, Sheila K. ;
Adams-Pizarro, Inga ;
Buist, Michael ;
Bellomo, Rinaldo ;
Bonello, Robert ;
Cerchiari, Erga ;
Farlow, Barbara ;
Goldsmith, Donna ;
Haskell, Helen ;
Hillman, Kenneth ;
Howell, Michael ;
Hravnak, Marilyn ;
Hunt, Elizabeth A. ;
Hvarfner, Andreas ;
Kellett, John ;
Lighthall, Geoffrey K. ;
Lippert, Anne ;
Lippert, Freddy K. ;
Mahroof, Razeen ;
Myers, Jennifer S. ;
Rosen, Mark ;
Reynolds, Stuart ;
Rotondi, Armando ;
Rubulotta, Francesca ;
Winters, Bradford .
RESUSCITATION, 2010, 81 (04) :375-382
[5]   Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology [J].
Gerry, Stephen ;
Bonnici, Timothy ;
Birks, Jacqueline ;
Kirtley, Shona ;
Virdee, Pradeep S. ;
Watkinson, Peter J. ;
Collins, Gary S. .
BMJ-BRITISH MEDICAL JOURNAL, 2020, 369
[6]   The third Medical Emergency Teams - Hospital outcomes in a day (METHODS) study: The application of quality metrics for rapid response systems around the world [J].
Haegdorens, Filip ;
Edwards, Eirian ;
So, Ralph K. ;
Subbe, Christian P. .
RESUSCITATION PLUS, 2023, 16
[7]   Predicting patient deterioration by nurse intuition: The development and validation of the nurse intuition patient deterioration scale [J].
Haegdorens, Filip ;
Wils, Carolien ;
Franck, Erik .
INTERNATIONAL JOURNAL OF NURSING STUDIES, 2023, 142
[8]   The optimal threshold for prompt clinical review: An external validation study of the national early warning score [J].
Haegdorens, Filip ;
Monsieurs, Koenraad G. ;
De Meester, Koen ;
Van Bogaert, Peter .
JOURNAL OF CLINICAL NURSING, 2020, 29 (23-24) :4594-4603
[9]   Persistently elevated early warning scores and lactate identifies patients at high risk of mortality in suspected sepsis [J].
Hargreaves, Duncan Sebastian ;
de Carvalho, Joshua Lucas Jarman ;
Smith, Laura ;
Picton, Graham ;
Venn, Richard ;
Hodgson, Luke Eliot .
EUROPEAN JOURNAL OF EMERGENCY MEDICINE, 2020, 27 (02) :125-131
[10]  
IBM Corp, 2023, IBM SPSS statistics for mac OS