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Haas LEM, Boumendil A, Flaatten H, Guidet B, Ibarz M, Jung C, Moreno R, Morandi A, Andersen FH, Zafeiridis T, Walther S, Oeyen S, Leaver S, Watson X, Boulanger C, Szczeklik W, Schefold JC, Cecconi M, Marsh B, Joannidis M, Nalapko Y, Elhadi M, Fjølner J, Artigas A, de Lange DW, Joannidis M, Eller P, Helbok R, Schmutz R, Nollet J, de Neve N, De Buysscher P, Oeyen S, Swinnen W, Mikačić M, Bastiansen A, Husted A, Dahle BES, Cramer C, Sølling C, Ørsnes D, Thomsen JE, Pedersen JJ, Enevoldsen MH, Elkmann T, Kubisz-Pudelko A, Pope A, Collins A, Raj AS, Boulanger C, Frey C, Hart C, Bolger C, Spray D, Randell G, Filipe H, Welters ID, Grecu I, Evans J, Cupitt J, Lord J, Henning J, Jones J, Ball J, North J, Salaunkey K, De Gordoa LOR, Bell L, Balasubramaniam M, Vizcaychipi M, Faulkner M, Mupudzi M, Lea-Hagerty M, Reay M, Spivey M, Love N, Spittle NSN, White N, Williams P, Morgan P, Wakefield P, Savine R, Jacob R, Innes R, Kapoor R, Humphreys S, Rose S, Dowling S, Leaver S, Mane T, Lawton T, Ogbeide V, Khaliq W, Baird Y, Romen A, Galbois A, Guidet B, Vinsonneau C, Charron C, Thevenin D, Guerot E, Besch G, Savary G, Mentec H, Chagnon JL, Rigaud JP, Quenot JP, Castaneray J, Rosman J, Maizel J, Tiercelet K, Vettoretti L, Hovaere MM, Messika M, Djibré M, Rolin N, Burtin P, Garcon P, Nseir S, Valette X, Rabe C, Barth E, Ebelt H, Fuest K, Franz M, Horacek M, Schuster M, Meybohm P, Bruno RR, Allgäuer S, Dubler S, Schaller SJ, Schering S, Steiner S, Dieck T, Rahmel T, Graf T, Koutsikou A, Vakalos A, Raitsiou B, Flioni EN, Neou E, Tsimpoukas F, Papathanakos G, Marinakis G, Koutsodimitropoulos I, Aikaterini K, Rovina N, Kourelea S, Polychronis T, Zidianakis V, Konstantinia V, Aidoni Z, Marsh B, Motherway C, Read C, Martin-Loeches I, Cracchiolo AN, Morigi A, Calamai I, Brusa S, Elhadi A, Tarek A, Khaled A, Ahmed H, Belkhair WA, Cornet AD, Gommers D, de Lange D, van Boven E, Haringman J, Haas L, van den Berg L, Hoiting O, de Jager P, Gerritsen RT, Dormans T, Dieperink W, Breidablik ABA, Slapgard A, Rime AK, Jannestad B, Sjøbøe B, Rice E, Andersen FH, Strietzel HF, Jensen JP, Langørgen J, Tøien K, Strand K, Hahn M, Klepstad P, Biernacka A, Kluzik A, Kudlinski B, Maciejewski D, Studzińska D, Hymczak H, Stefaniak J, Solek-Pastuszka J, Zorska J, Cwyl K, Krzych LJ, Zukowski M, Lipińska-Gediga M, Pietruszko M, Piechota M, Serwa M, Czuczwar M, Ziętkiewicz M, Kozera N, Nasiłowski P, Sendur P, Zatorski P, Galkin P, Gawda R, Kościuczuk U, Cyrankiewicz W, Gola W, Pinto AF, Fernandes AM, Santos AR, Sousa C, Barros I, Ferreira IA, Blanco JB, Carvalho JT, Maia J, Candeias N, Catorze N, Belskiy V, Lores A, Mira AP, Cilloniz C, Perez-Torres D, Maseda E, Rodriguez E, Prol-Silva E, Eixarch G, Gomà G, Aguilar G, Velasco GN, Jaimes MI, Villamayor MI, Fernández NL, Cubero PJ, López-Cuenca S, Tomasa T, Sjöqvist A, Brorsson C, Schiöler F, Westberg H, Nauska J, Sivik J, Berkius J, Thiringer KK, De Geer L, Walther S, Boroli F, Schefold JC, Hergafi L, Eckert P, Yıldız I, Yovenko I, Nalapko Y, Nalapko Y, Pugh R. Frailty is associated with long-term outcome in patients with sepsis who are over 80 years old: results from an observational study in 241 European ICUs. Age Ageing 2021; 50:1719-1727. [PMID: 33744918 DOI: 10.1093/ageing/afab036] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Sepsis is one of the most frequent reasons for acute intensive care unit (ICU) admission of very old patients and mortality rates are high. However, the impact of pre-existing physical and cognitive function on long-term outcome of ICU patients ≥ 80 years old (very old intensive care patients (VIPs)) with sepsis is unclear. OBJECTIVE To investigate both the short- and long-term mortality of VIPs admitted with sepsis and assess the relation of mortality with pre-existing physical and cognitive function. DESIGN Prospective cohort study. SETTING 241 ICUs from 22 European countries in a six-month period between May 2018 and May 2019. SUBJECTS Acutely admitted ICU patients aged ≥80 years with sequential organ failure assessment (SOFA) score ≥ 2. METHODS Sepsis was defined according to the sepsis 3.0 criteria. Patients with sepsis as an admission diagnosis were compared with other acutely admitted patients. In addition to patients' characteristics, disease severity, information about comorbidity and polypharmacy and pre-existing physical and cognitive function were collected. RESULTS Out of 3,596 acutely admitted VIPs with SOFA score ≥ 2, a group of 532 patients with sepsis were compared to other admissions. Predictors for 6-month mortality were age (per 5 years): Hazard ratio (HR, 1.16 (95% confidence interval (CI), 1.09-1.25, P < 0.0001), SOFA (per one-point): HR, 1.16 (95% CI, 1.14-1.17, P < 0.0001) and frailty (CFS > 4): HR, 1.34 (95% CI, 1.18-1.51, P < 0.0001). CONCLUSIONS There is substantial long-term mortality in VIPs admitted with sepsis. Frailty, age and disease severity were identified as predictors of long-term mortality in VIPs admitted with sepsis.
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Affiliation(s)
- Lenneke E M Haas
- Department of Intensive Care Medicine, Diakonessenhuis Utrecht, Utrecht, The Netherlands
| | - Ariane Boumendil
- Assistance Publique-Hôpital de Paris, Hôpital Saint-Antoine, Service de Réanimation Médicale. Paris F-75012, France
| | - Hans Flaatten
- Department of Clinical Medicine, University of Bergen, Department of Anaesthesia and Intensive Care, Haukeland University Hospital, Bergen, Norway
| | - Bertrand Guidet
- Institut Pierre Louis d’Epidémiologie et de Santé Publique, AP-HP, Hôpital Saint-Antoine, Service de Réanimation, Sorbonne Université, INSERM, F75012 Paris, France
| | - Mercedes Ibarz
- Department of Intensive Care Medicine, Universitary Hospital Sagrat Cor Barcelona, Spain
| | - Christian Jung
- Division of Cardiology, Pulmonology and Vascular Medicine, University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany
| | - Rui Moreno
- Unidade de Cuidados Intensivos Neurocríticos e Trauma. Hospital de São José, Centro Hospitalar, Faculdade de Ciências Médicas de Lisboa (Nova Medical School), Universitário de Lisboa Central, Lisbon, Portugal
| | - Alessandro Morandi
- Department of Rehabilitation and Aged Care, Hospital Ancelle, Cremona, Italy. Parc Sanitari Pere Virgili and Vall d’Hebrón Institute of Research, Barcelona, Spain
| | - Finn H Andersen
- Department of Anaesthesia and Intensive Care, Ålesund Hospital, Ålesund, Norway, Department of Circulation and Medical Imaging, NTNU, Trondheim, Norway
| | | | - Sten Walther
- Department of Cardiothoracic and Vascular Surgery, Heart Centre, Linköping University Hospital, Linköping, Sweden
| | - Sandra Oeyen
- Department of Intensive Care 1K12IC, Ghent University Hospital, Ghent, Belgium
| | - Susannah Leaver
- Research Lead Critical Care Directorate St George's University Hospital, NHS Foundation Trust, London, UK
| | | | - Carole Boulanger
- Chair NAHP Section ESICM, Intensive Care Unit, Royal Devon & Exeter NHS Foundation Trust, Exeter, UK
| | - Wojciech Szczeklik
- Intensive Care and Perioperative Medicine Division, Jagiellonian University Medical College, Kraków, Poland
| | - Joerg C Schefold
- Department of Intensive Care Medicine, Inselspital, Universitätsspital, University of Bern, Bern, Switzerland
| | - Maurizio Cecconi
- Department of Anesthesia and Intensive Care Medicine, Humanitas Clinical and Research Center - IRCCS, Via Alessandro Manzoni 56, 20089, Rozzano, MI, Italy. Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Rozzano, MI, Italy
| | - Brian Marsh
- Mater Misericordiae University Hospital, Dublin, Ireland
| | - Michael Joannidis
- Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, Innsbruck, Austria
| | - Yuriy Nalapko
- European Wellness International, ICU, Luhansk, Ukraine
| | | | - Jesper Fjølner
- Department of Intensive Care, Aarhus University Hospital, Aarhus, Denmark
| | - Antonio Artigas
- Department of Intensive Care Medicine, CIBER Enfermedades Respiratorias, Corporacion Sanitaria Universitaria Parc Tauli, Autonomous University of Barcelona. Sabadell, Spain
| | - Dylan W de Lange
- Department of Intensive Care Medicine, University Medical Center, University Utrecht, Utrecht, The Netherlands
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Hoogendoorn ME, Brinkman S, Bosman RJ, Haringman J, de Keizer NF, Spijkstra JJ. The impact of COVID-19 on nursing workload and planning of nursing staff on the Intensive Care: A prospective descriptive multicenter study. Int J Nurs Stud 2021; 121:104005. [PMID: 34273806 PMCID: PMC8215878 DOI: 10.1016/j.ijnurstu.2021.104005] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 06/11/2021] [Accepted: 06/14/2021] [Indexed: 12/16/2022]
Abstract
INTRODUCTION The impact of the care for COVID-19 patients on nursing workload and planning nursing staff on the Intensive Care Unit has been huge. Nurses were confronted with a high workload and an increase in the number of patients per nurse they had to take care of. OBJECTIVE The primary aim of this study is to describe differences in the planning of nursing staff on the Intensive Care in the COVID period versus a recent non-COVID period. The secondary aim was to describe differences in nursing workload in COVID-19 patients, pneumonia patients and other patients on the Intensive Care. We finally wanted to assess the cause of possible differences in Nursing Activities Scores between the different groups. METHODS We analyzed data on nursing staff and nursing workload as measured by the Nursing Activities Score of 3,994 patients and 36,827 different shifts in 6 different hospitals in the Netherlands. We compared data from the COVID-19 period, March 1st 2020 till July 1st 2020, with data in a non-COVID period, March 1st 2019 till July 1st 2019. We analyzed the Nursing Activities Score per patient, the number of patients per nurse and the Nursing Activities Score per nurse in the different cohorts and time periods. Differences were tested by a Chi-square, non-parametric Wilcoxon or Student's t-test dependent on the distribution of the data. RESULTS Our results showed both a significant higher number of patients per nurse (1.1 versus 1.0, p<0.001) and a significant higher Nursing Activities Score per Intensive Care nurse (76.5 versus 50.0, p<0.001) in the COVID-19 period compared to the non-COVID period. The Nursing Activities Score was significantly higher in COVID-19 patients compared to both the pneumonia patients (55.2 versus 50.0, p<0.001) and the non-COVID patients (55.2 versus 42.6, p<0.001), mainly due to more intense hygienic procedures, mobilization and positioning, support and care for relatives and respiratory care. CONCLUSION With this study we showed the impact of COVID-19 patients on the planning of nursing care on the Intensive Care. The COVID-19 patients caused a high nursing workload, both in number of patients per nurse and in Nursing Activities Score per nurse.
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Affiliation(s)
- M E Hoogendoorn
- Department of Anesthesiology and Intensive Care, Isala, Zwolle, the Netherlands; National Intensive Care Evaluation (NICE) Foundation, Amsterdam, the Netherlands.
| | - S Brinkman
- Department of Medical Informatics, Amsterdam UMC, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands; National Intensive Care Evaluation (NICE) Foundation, Amsterdam, the Netherlands
| | - R J Bosman
- Department of Intensive Care, OLVG, Amsterdam, the Netherlands; National Intensive Care Evaluation (NICE) Foundation, Amsterdam, the Netherlands
| | - J Haringman
- Department of Anesthesiology and Intensive Care, Isala, Zwolle, the Netherlands; Department of Intensive Care, Amsterdam UMC, Location VUMC, Amsterdam, the Netherlands
| | - N F de Keizer
- Department of Medical Informatics, Amsterdam UMC, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands; National Intensive Care Evaluation (NICE) Foundation, Amsterdam, the Netherlands
| | - J J Spijkstra
- Department of Intensive Care, Amsterdam UMC, Location VUMC, Amsterdam, the Netherlands; National Intensive Care Evaluation (NICE) Foundation, Amsterdam, the Netherlands
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Hoogendoorn ME, Brinkman S, Spijkstra JJ, Bosman RJ, Margadant CC, Haringman J, de Keizer NF. The objective nursing workload and perceived nursing workload in Intensive Care Units: Analysis of association. Int J Nurs Stud 2020; 114:103852. [PMID: 33360666 DOI: 10.1016/j.ijnurstu.2020.103852] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 11/09/2020] [Accepted: 11/14/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND A range of classification systems are in use for the measurement of nursing workload in Intensive Care Units. However, it is unknown to what extent the measured (objective) nursing workload, usually in terms of the amount of nursing activities, is related to the workload actually experienced (perceived) by nurses. OBJECTIVES The aim of this study was to assess the association between the objective nursing workload and the perceived nursing workload and to identify other factors associated with the perceived nursing workload. METHODS We measured the objective nursing workload with the Nursing Activities Score and the perceived nursing workload with the NASA-Task Load Index during 228 shifts in eight different Intensive Care Units. We used linear mixed-effect regression models to analyze the association between the objective and perceived nursing workload. Furthermore, we investigated the association of patient characteristics (severity of illness, comorbidities, age, body mass index, and planned or unplanned admission), education level of the nurse, and contextual factors (numbers of patients per nurse, the type of shift (day, evening, night) and day of admission or discharge) with perceived nursing workload. We adjusted for confounders. RESULTS We did not find a significant association between the observed workload per nurse and perceived nursing workload (p=0.06). The APACHE-IV Acute Physiology Score of a patient was significantly associated with the perceived nursing workload, also after adjustment for confounders (p=0.02). None of the other patient characteristics was significantly associated with perceived nursing workload. Being a certified nurse or a student nurse was the only nursing or contextual factor significantly associated with the perceived nursing workload, also after adjustment for confounders (p=0.03). CONCLUSION Workload is perceived differently by nurses compared to the objectively measured workload by the Nursing Activities Score. Both the severity of illness of the patient and being a student nurse are factors that increase the perceived nursing workload. To keep the workload of nurses in balance, planning nursing capacity should be based on the Nursing Activities Score, on the severity of patient illness and the graduation level of the nurse.
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Affiliation(s)
- M E Hoogendoorn
- Department of Anesthesiology and Intensive Care, Isala, Zwolle, The Netherlands; National Intensive Care Evaluation (NICE) Foundation, Amsterdam, The Netherlands.
| | - S Brinkman
- Department of Medical Informatics, Amsterdam UMC, Amsterdam Public Health research institute, Amsterdam, The Netherlands; National Intensive Care Evaluation (NICE) Foundation, Amsterdam, The Netherlands
| | - J J Spijkstra
- Department of Intensive Care, Amsterdam UMC, location VUmc, Amsterdam, The Netherlands; National Intensive Care Evaluation (NICE) Foundation, Amsterdam, The Netherlands
| | - R J Bosman
- Department of Intensive Care, Onze Lieve Vrouwe Gasthuis, Amsterdam, The Netherlands; National Intensive Care Evaluation (NICE) Foundation, Amsterdam, The Netherlands
| | - C C Margadant
- Department of Medical Informatics, Amsterdam UMC, Amsterdam Public Health research institute, Amsterdam, The Netherlands; National Intensive Care Evaluation (NICE) Foundation, Amsterdam, The Netherlands
| | - J Haringman
- Department of Anesthesiology and Intensive Care, Isala, Zwolle, The Netherlands
| | - N F de Keizer
- Department of Medical Informatics, Amsterdam UMC, Amsterdam Public Health research institute, Amsterdam, The Netherlands; National Intensive Care Evaluation (NICE) Foundation, Amsterdam, The Netherlands
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