Clinical Severity as a Predictor of Nursing Workload in Pediatric Intensive Care Units: A Cross-Sectional Study

Authors

  • Alexandra-Stavroula Nieri
  • Eleni Spithouraki
  • Petros Galanis
  • Daphne Kaitelidou
  • Vasiliki Matziou
  • Margarita Giannakopoulou

DOI:

https://doi.org/10.1891/WFCCN-D-19-00011

Keywords:

clinical severity, nursing workload, pediatric logistic organ dysfunction, pediatric intensive care unit

Abstract

Background: Increased nursing workload (NW) is associated with increased incidence of adverse events. In adult ICUs, one of the factors that increase NW is the severity of illness; however, this has not been adequately investigated in pediatric intensive care unit (PICU).

Aim: To explore potential association between clinical severity of critically ill children and NW in PICU.

Methods: A descriptive, correlational, cross-sectional study design was employed. Data were collected from three PICUs of Athens, Greece, during November 2015 to March 2016, using a sample of 58 pediatric patients. The Pediatric-Nursing Activities Score (P-NAS) and the Therapeutic Intervention Scoring System 28 (TISS-28) were used to measure NW and the Pediatric Logistic Organ Dysfunction (PELOD) to assess clinical severity. Demographic and clinical variables of the children were also investigated. Multiple linear regressions were used to identify NW predictive factors, at 5% significance level.

Results: Participants' median age (interquartile range [IQR]) was 38.5 (7.0–127.0) months and 50% of them were male. PELOD score was significantly correlated with NW scores on the first day of hospitalization in PICU (P-NAS: ? = .319, p = .020, TISS-28: ? = .547, p < .0001) and with NW during total PICU stay (TISS-28: ? = .483, p < .001). The PELOD (? = .694, p = .052) and the elective surgery (? = ?13.12, p = .01) were predictors of the P-NAS on the first day of hospitalization, and the PELOD (? = .563, p = .029) and the emergency surgery (? = 16.09, p = .01) were predictors of the P-NAS during total PICU stay. The PELOD (? = .509, p = .001) was a predictor factor of the TISS-28 score on the first day of PICU hospitalization and the PELOD (? = .371, p = .003) and the age (? = .036, p = .005) were predictors of the TISS-28 score during total PICU stay.

Conclusions: The clinical severity is a predictive factor of NW required in PICUs.

References

Altafin, J. A. M., Grion, C. M. C., Tanita, M. T., Festti, J., Cardoso, L. T. Q., Veiga, C. F. F., & Matsuo, T. (2014). Nursing activities score and workload in the intensive care unit of a university hospital. Revista Brasileira Terapia Intensiva, 26(3), 292–298.

Bruyneel, A., Tack, J., Droguet, M., Maes, J., Wittebole, X., Miranda, D. R., & Pierdomenico, L. D. (2019). Measuring the nursing workload in intensive care with the nursing activities score (NAS): A prospective study in 16 hospitals in Belgium. Journal Critical Care, 54, 205–211. https://doi.org/10.1016/j.jcrc.2019.08.032

Campagner, A. O. M., Garcia, P. C. R., & Piva, J. P. (2014). Use of scores to calculate the nursing workload in a pediatric intensive care unit. Revista Brasileira Terapia Intensiva, 26(1), 36–43.

Carlesi CuadrosK, PadilhaKG, ToffolettoM. C., Henriquez-RoldánC, & CanalesMAJ. (2017). Patient safety incidents and nursing workload. Revista Latino American Enfermagem, 25, e2841. http://dx.doi.org/10.1590/1518-8345.1280.2841.

Carlson, R. V., Boyd, K. M., & Webb, D. J. (2004). The revision of the declaration of Helsinki: Past, present and future. British Journal Clinical Pharmacology, 57(6), 695–713. https://doi.org/10.1111/j.1365-2125.2004.02103.x

Carmona-Monge, F. J., Uranga, I. U., Gomez, S. G., Herranz, C. Q., Bengoetxea, M. B., Unanue, G. E., & Irazoqui, M. A. (2013). Usage analysis of the nursing activities score in two Spanish ICUS. Revista da Escola de Enfermagem da USP, 47(5), 1106–1113. https://doi.org/10.1590/S0080-623420130000500014

Chang, L.-Y., Yu, H.-H., & Chao, Y.-F. C. (2019). The relationship between nursing workload, quality of care, and nursing payment in intensive care units. Journal Nursing Research, 27(1), 1–9. https://doi.org/10.1097/jnr.0000000000000265

Dede, M.-N., Nieri, A.-S., Louizou, L., Chouliara, A., Mpeli, A., Katsoulas, T., & Giannakopoulou, M. (2018). Implementation of NAS in a general adult ICU and assessment of nurse-to-patient ratios and nursing adverse outcomes. Hellenic Journal of Nursing, 57(3), 286–298.

Frey, B., Hossle, J. P., Seiler Sigrist, M., & Cannizzaro, V. (2013). Measurement of resident workload in paediatric intensive care. Swiss Medical Weekly, 143(w13844). https://doi.org/10.4414/smw.2013.13844

Giakoumidakis, K., Baltopoulos, G. I., Charitos, C., Patelarou, E., Galanis, P., & Brokalaki, H. (2011). Risk factors for prolonged stay in cardiac surgery intensive care units. Nursing Critical Care, 16(5), 243–251. https://doi.org/10.1111/j.1478-5153.2010.00443.x

Gouzou, M., Karanikola, M., Lemonidou, C., Papathanassoglou, E., & Giannakopoulou, M. (2015). Measuring professional satisfaction and nursing workload among nursing staff at a Greek coronary care unit. Revista da Escola de Enfermagem USP, 49, 15–21. https://doi.org/10.1590/S0080-6234201500000003

Kiekkas, P., Brokalaki, H., Manolis, E., Samios, A., Skartsani, C., & Baltopoulos, G. (2007). Patient severity as an indicator of nursing workload in the intensive care unit. Nursing Critical Care, 12(1), 34–41. https://doi.org/10.1111/j.1478-5153.2006.00193.x

Leteurtre, S., Martinot, A., Duhamel, A., Proulx, F., Grandbastien, B., Cotting, J., & Leclerc, F. (2003). Validation of the paediatric logistic organ dysfunction (PELOD) score: Prospective, observational, multicentre study. Lancet, 362(9379), 192–197. https://doi.org/10.1016/S0140-6736(03)13908-6

Lucchini, A., De Felippis, C., Elli, S., Schifano, L., Rolla, F., Pegoraro, F., & Fumagalli, R. (2014). Nursing activities score (NAS): 5 years of experience in the intensive care units of an Italian University hospital. Intensive Critical Care Nursing, 30(3), 152–158. https://doi.org/10.1016/j.iccn.2013.10.004

Miranda, D. R., de Rijk, A., & Schaufeli, W. (1996). Simplified therapeutic intervention scoring system: The TISS-28 items—results from a multicenter study. Critical Care Medicine, 24(1), 64–73. https://doi.org/10.1097/00003246-199601000-00012

Miranda, D. R., Nap, R., de Rijk, A., Schaufeli, W., Iapichino, G., TISS Working Group, & Therapeutic Intervention Scoring System. (2003). Nursing activities score. Critical Care Medicine, 31(2), 374–382. https://doi.org/10.1097/01.CCM.0000045567.78801.CC

Mishra, P., Pandey, C. M., Singh, U., Gupta, A., Sahu, C., & Keshri, A. (2019). Descriptive statistics and normality tests for statistical data. Annals Cardiac Anaesthesia, 22(1), 67–72. https://doi.org/10.4103/aca.ACA_157_18

Nieri, A.-S., Manousaki, K., Kalafati, M., Padilha, K. G., Stafseth, S. K., Katsoulas, T., & Giannakopoulou, M. (2018). Validation of the nursing workload scoring systems “Nursing Activities Score” (NAS), and “Therapeutic Intervention Scoring System for Critically Ill Children” (TISS-C) in a Greek Paediatric intensive care unit. Intensive and Critical Care Nursing, 48, 3–9. https://doi.org/10.1016/j.iccn.2018.03.005

Nogueira, L. de. S, Santos, M. R., Mataloun, S. E., & Moock, M. (2007). Nursing activities score: Comparison among the index APACHE II and the mortality in patients admitted in intensive care unit. Revista Brasileira de Terapia Intensiva, 19(3), 327–330.

Romano, J. L., Garcia, P. C., Silva, D. V., Moura, B. R. S., & Nogueira, L. de S. (2019). Type of admission and nursing workload of critical patients: A cross-sectional study. Nursing in Critical Care, 24(6), 387–391. https://doi.org/10.1111/nicc.12408

Vincent, J.-L., & Moreno, R. (2010). Clinical review: Scoring systems in the critically ill. Critical Care, 14(2), 207. https://doi.org/10.1186/cc8204

Wheeler, D. S., Wong, H. R., & Shanley, T. P. (2014). Pediatric critical care medicine. London: Springer Science & Business.

Downloads

Published

2019-12-01