Table of Contents Author Guidelines Submit a Manuscript
Nursing Research and Practice
Volume 2017, Article ID 1048052, 9 pages
https://doi.org/10.1155/2017/1048052
Research Article

The Criterion Validity, Reliability, and Feasibility of an Instrument for Assessing the Nursing Intensity in Perioperative Settings

1Helsinki University Central Hospital, P.O. Box 340, 00029 HUS, Finland
2Department of Nursing Science and Turku University Hospital, Turku University, 20004 Turku, Finland
3Department of Biostatistics, Turku University, 20004 Turku, Finland
4Helsinki University Central Hospital, P.O. Box 280, 00029 HUS, Finland

Correspondence should be addressed to Satu Rauta; if.suh@atuar.utas

Received 1 December 2016; Revised 2 April 2017; Accepted 8 June 2017; Published 17 July 2017

Academic Editor: Sandra M. G. Zwakhalen

Copyright © 2017 Satu Rauta et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. Peltokorpi and J. Kujala, “Time-based analysis of total cost of patient episodes: a case study of hip replacement,” International Journal of Health Care Quality Assurance, vol. 19, no. 2, pp. 136–145, 2006. View at Publisher · View at Google Scholar · View at Scopus
  2. N. Fagerholm, Nurse Staffing in Acute Hospital Outpatient’s Health Care System – Indicators and Expert’ Modeling, 2014, Dissertation in Health Sciences [Dissertation], University of Eastern Finland, Department of Nursing Science, Kuopio. Finland, 2014.
  3. M. Flinkman, M. Laine, H. Leino-Kilpi, H.-M. Hasselhorn, and S. Salanterä, “Explaining young registered Finnish nurses' intention to leave the profession: a questionnaire survey,” International Journal of Nursing Studies, vol. 45, no. 5, pp. 727–739, 2008. View at Publisher · View at Google Scholar · View at Scopus
  4. A. Rauhala, M. Kivimäki, L. Fagerström et al., “What degree of work overload is likely to cause increased sickness absenteeism among nurses?” Journal of Advanced Nursing, vol. 57, no. 3, pp. 286–295, 2007. View at Publisher · View at Google Scholar · View at Scopus
  5. G. Cummings, H. Lee, T. MacGregor, and etal., “Factors contributing to nursing leadership: a systematic review,” Journal of Health Services Research and Policy, vol. 13, no. 4, pp. 240–248, 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. G. Jourdain and D. Chênevert, “Job demands-resources, burnout and intention to leave the nursing profession: a questionnaire survey,” International Journal of Nursing Studies, vol. 47, no. 6, pp. 709–722, 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. B. J. Kalisch and K. H. Lee, “Staffing and job satisfaction: nurses and nursing assistants,” Journal of Nursing Management, vol. 22, no. 4, pp. 465–471, 2014. View at Publisher · View at Google Scholar · View at Scopus
  8. L. M. Pineau Stam, H. K. Spence Laschinger, S. Regan, and C. A. Wong, “The influence of personal and workplace resources on new graduate nurses' job satisfaction,” Journal of Nursing Management, vol. 23, no. 2, pp. 190–199, 2015. View at Publisher · View at Google Scholar · View at Scopus
  9. J. Junttila, A. Koivu, L. Fagerström, K. Haatainen, and P. Nykänen, “Hospital mortality and optimality of nursing workload: a study on the predictive validity of the RAFAELA nursing intensity and staffing system,” International Journal of Nursing Studies, vol. 60, pp. 46–53, 2016. View at Publisher · View at Google Scholar · View at Scopus
  10. L. Fagerström and A. Rauhala, “Benchmarking in nursing care by the RAFAELA patient classification system - a possibility for nurse managers,” Journal of Nursing Management, vol. 15, no. 7, pp. 683–692, 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. L. Fagerström, “Benchmarking by the RAFAELA Patient Classification System - a Descriptive Study of Optimal Nursing Intensity Levels,” in Studies in Health Technology and Informatics, vol. 146, pp. 25–29, 2009. View at Google Scholar
  12. C. J. van Oostveen, D. T. Ubbink, M. A. Mens, E. A. Pompe, and H. Vermeulen, “Pre-implementation studies of a workforce planning tool for nurse staffing and human resource management in university hospitals,” Journal of Nursing Management, vol. 27, 2015. View at Google Scholar · View at Scopus
  13. L. Bell, “Using or patient classification for staffing assignments,” AORN Journal, vol. 101, no. 6, pp. 639–646, 2015. View at Publisher · View at Google Scholar · View at Scopus
  14. “American society of anaesthesiologists,” http://www.asahq.org/resources/clinical-information/asa-physical-status-classification-system.
  15. U. Wolters, T. Wolf, H. Stützer, and T. Schröder, “ASA classification and perioperative variables as predictors of postoperative outcome,” British Journal of Anaesthesia, vol. 77, no. 2, pp. 217–222, 1996. View at Publisher · View at Google Scholar · View at Scopus
  16. G. Prause, B. Ratzenhofer-Comenda, G. Pierer, F. Smolle-Jüttner, H. Glanzer, and J. Smolle, “Can ASA grade or Goldman's cardiac risk peri-operative mortality? A study of 16,227 patients,” Anaesthesia, vol. 52, no. 3, pp. 203–206, 1997. View at Publisher · View at Google Scholar · View at Scopus
  17. J. M. Leung and S. Dzankic, “Relative importance of preoperative health status versus intraoperative factors in predicting postoperative adverse outcomes in geriatric surgical patients,” Journal of the American Geriatrics Society, vol. 49, no. 8, pp. 1080–1085, 2001. View at Publisher · View at Google Scholar · View at Scopus
  18. F. El-Haddawi, F. M. Abu-Zidan, and W. Jones, “Factors affecting surgical outcome in the elderly at Auckland Hospital,” ANZ Journal of Surgery, vol. 72, no. 8, pp. 537–541, 2002. View at Publisher · View at Google Scholar · View at Scopus
  19. M. S. Carey, R. Victory, L. Stitt, and N. Tsang, “Factors that influence length of stay for in-patient gynecology surgery: is the Case Mix Group (CMG) or type of procedure more important?” Journal of Obstetrics and Gynaecology Canadian, vol. 28, no. 2, pp. 149–155, 2006. View at Publisher · View at Google Scholar
  20. P. Torkki, Best practice processes – What are the reasons for differences in productivity between surgery units? [Doctoral Dissertation], Aalto University publication series, Helsinki, Finland, 2012.
  21. S. Ranta, M. Hynynen, and T. Tammisto, “A survey of the ASA physical status classification: significant variation in allocation among finnish anaesthesiologists,” Acta Anaesthesiologica Scandinavica, vol. 41, no. 5, pp. 629–632, 1997. View at Publisher · View at Google Scholar · View at Scopus
  22. P. Cuvillon, E. Nouvellon, E. Marret et al., “American society of anesthesiologists' physical status system: a multicentre francophone study to analyse reasons for classification disagreement,” European Journal of Anaesthesiology, vol. 28, no. 10, pp. 742–747, 2011. View at Publisher · View at Google Scholar · View at Scopus
  23. M. Daabiss, “American society of anaesthesiologists physical status classification,” Indian Journal of Anaesthesia, vol. 55, no. 2, pp. 111–115, 2011. View at Publisher · View at Google Scholar · View at Scopus
  24. R. A. Marjamaa and O. A. Kirvelä, “Who is responsible for operating room management and how do we measure how well we do it?” Acta Anaesthesiologica Scandinavica, vol. 51, no. 7, pp. 809–814, 2007. View at Publisher · View at Google Scholar · View at Scopus
  25. R. V. Iyer, A. M. Likhith, J. A. McLean, S. Perera, and C. H. G. Davis, “Audit of operating theatre time utilization in neurosurgery,” British Journal of Neurosurgery, vol. 18, no. 4, pp. 333–337, 2004. View at Publisher · View at Google Scholar · View at Scopus
  26. J. Foley and F. Soldani, “The use of theatre time for paediatric dentistry under general anaesthesia,” International Journal of Paediatric Dentistry, vol. 17, no. 1, pp. 29–33, 2007. View at Publisher · View at Google Scholar · View at Scopus
  27. P. M. Torkki, A. I. Alho, A. V. Peltokorpi, M. I. Torkki, and P. E. Kallio, “Managing urgent surgery as a process: case study of a trauma center,” International Journal of Technology Assessment in Health Care, vol. 22, no. 2, pp. 255–260, 2006. View at Publisher · View at Google Scholar · View at Scopus
  28. W. S. Sandberg, B. Daily, M. Egan, and etal., “Deliberate perioperative systems design improves operating room throughput,” Anesthesiology, vol. 103, no. 2, pp. 406–418, 2005. View at Publisher · View at Google Scholar · View at Scopus
  29. D. C. Krupka and W. S. Sandberg, “Operating room design and its impact on operating room economics,” Current Opinion in Anaesthesiology, vol. 19, no. 2, pp. 185–191, 2006. View at Publisher · View at Google Scholar · View at Scopus
  30. S. K. Grove, N. Burns, and Gray. J. R., The Practice of Nursing Research: Appraisal, Synthesis, and Generation of Evidence, Elsevier, New York, NY, USA, 7th edition, 2013.
  31. “Oxford English Dictionary,” http://www.oed.com/.
  32. K. Junttila, Perioperative Documentation in Finland Validating the Perioperative Nursing Data Set in Finnish Perioperative Nursing [Doctoral thesis], Annales Universitatis Turkuensis, Turku, Finland, 2005.
  33. R. Morris, P. MacNeela, A. Scott, P. Treacy, and A. Hyde, “Reconsidering the conceptualization of nursing workload: a literature review,” Journal of Advanced Nursing, vol. 57, no. 5, pp. 463–471, 2007. View at Publisher · View at Google Scholar · View at Scopus
  34. J. M. Welton, L. Zone-Smith, and D. Bandyopadhyay, “Estimating nursing intensity and direct cost using the nurse-patient assignment,” Journal of Nursing Administration, vol. 39, no. 6, pp. 276–284, 2009. View at Publisher · View at Google Scholar · View at Scopus
  35. G. Cusack, A. Jones-Wells, and L. Chisholm, “Patient intensity in an ambulatory oncology research center: a step forward for the field of ambulatory care,” Nursing Economics, vol. 22, no. 2, pp. 58–63, 2004. View at Google Scholar · View at Scopus
  36. ASPAN (American Society of Perianesthesia Nurses), “PractIce recommendatIon 1 patient classification/staffing recommendations. Perianesthesia nursing standards, practice recommen-dationds, and interpretive statements,” http://www.aspan.org/Portals/6/docs/ClinicalPractice/PR1_2017_2018.pdf?ver=2017-02-09-145204-670.
  37. AORN, “AORN position statement on perioperative safe staffing and on-call practices,” https://www.aorn.org/guidelines/clinical-resources/position-statements. View at Publisher · View at Google Scholar
  38. V. Butler, C. Clinton, H. K. Sagi, R. Kenney, and W. K. Barsoum, “Applying science and strategy to operating room workforce management,” Nursing Economics, vol. 30, no. 5, pp. 275–281, 2012. View at Google Scholar · View at Scopus
  39. V. V. Upenieks, J. Kotlerman, J. Akhavan, J. Esser, and M. J. Ngo, “Assessing nursing staffing ratios: variability in workload intensity,” Policy, Politics, and Nursing Practice, vol. 8, no. 1, pp. 7–19, 2007. View at Publisher · View at Google Scholar · View at Scopus
  40. B. A. Mark and D. W. Harless, “Adjusting for patient acuity in measurement of nurse staffing,” Nursing Research, vol. 60, no. 2, pp. 107–114, 2011. View at Publisher · View at Google Scholar
  41. L. Fagerström, A.-K. Rainio, A. Rauhala, and K. Nojonen, “Validation of a new method for patient classification, the Oulu patient classification,” Journal of Advanced Nursing, vol. 31, no. 2, pp. 481–490, 2000. View at Publisher · View at Google Scholar · View at Scopus
  42. A. Rauhala and L. Fagerström, “Determining optimal nursing intensity: the RAFAELA method,” Journal of Advanced Nursing, vol. 45, no. 4, pp. 351–359, 2004. View at Publisher · View at Google Scholar · View at Scopus
  43. M. Andersen, H. Lønning K, and L. Fagerström, “Testing reliability and validity of the oulu patient classification instrument—the first step in evaluating the RAFAELA system in norway,” Open Journal of Nursing, pp. 303–311, 2014, http://www.scirp.org/journal/ojn. View at Google Scholar
  44. L. Fagerström, K. Lønning, and M. Helen, “The RAFAELA system: A workforce planning tool for nurse staffing and human resource management,” Nursing Management, vol. 21, no. 2, pp. 303–306, 2014. View at Publisher · View at Google Scholar · View at Scopus
  45. M. Pai and C. Filion, “Classification of study designs,” http://www.teachepi.org/documents/courses/Classification%20Design.pdf.
  46. S. Rauta, S. Salanterä, J. Nivalainen, and K. Junttila, “Validation of the core elements of perioperative nursing,” Journal of Clinical Nursing, vol. 22, no. 9-10, pp. 1391–1399, 2013. View at Publisher · View at Google Scholar · View at Scopus
  47. S. Rauta, S. Salanterä, T. Vahlberg, and K. Junttila, “Testing an instrument for assessing nursing intensity in perioperative settings: construct validity,” International Journal of Nursing Knowledge, 2015. View at Publisher · View at Google Scholar
  48. M. Frilund and L. Fagerström, “Validity and reliability testing of the RAFAELA system Oulu patient classification instrument within primary healthcare,” in International Journal of Older People Nursing, vol. 4, pp. 280–287, 2009.
  49. D. F. Polit and C. T. Beck, “The content validity index: are you sure you know what's being reported? critique and recommendations,” Research in Nursing and Health, vol. 29, no. 5, pp. 489–497, 2006. View at Publisher · View at Google Scholar · View at Scopus
  50. M. R. Lynn, “Determination and quantification of content validity,” Nursing Research, vol. 35, no. 6, pp. 382–385, 1986. View at Google Scholar · View at Scopus
  51. D. F. Polit, C. T. Beck, and S. V. Owen, “is the CVI an acceptable indicator of content validity? appraisal and recommendations,” Research in Nursing and Health, vol. 30, no. 4, pp. 459–467, 2007. View at Publisher · View at Google Scholar · View at Scopus