Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017:2017:1048052.
doi: 10.1155/2017/1048052. Epub 2017 Jul 17.

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

Satu Rauta  1 , Sanna Salanterä  2 , Tero Vahlberg  3 , Kristiina Junttila  4
Affiliations

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

Satu Rauta et al. Nurs Res Pract. 2017.

Abstract

Patient classification systems generate information for staff allocation based on a patient's care needs. This study aims to test further the instrument for assessing nursing intensity (NI) in perioperative settings. Nine operating departments from five university hospitals were involved. The perioperative nurses gathered data from patients (N = 876) representing different fields of surgery. Reliability was tested by parallel classifications (n = 144). Also, the users' (n = 40) opinions were surveyed. The results support the predictive validity and interrater reliability of the instrument. The nurses considered the instrument feasible to use. The patients' low ASA class did not automatically signify low NI; however, high ASA class was more frequently associated with high intraoperative NI. Intraoperative NI indicated the length of the postanaesthesia care and the type of the follow-up unit. Parallel classifications ensured the homogenous use of the instrument. The use of the instrument is recommended.

PubMed Disclaimer

Similar articles

See all similar articles

Cited by

References

    1. Peltokorpi A., Kujala J. Time-based analysis of total cost of patient episodes: a case study of hip replacement. International Journal of Health Care Quality Assurance. 2006;19(2):136–145. doi: 10.1108/09526860610651672. - DOI - PubMed
    1. Fagerholm N. Nurse Staffing in Acute Hospital Outpatient’s Health Care System – Indicators and Expert’ Modeling, 2014, Dissertation in Health Sciences [Dissertation] Kuopio. Finland: University of Eastern Finland, Department of Nursing Science; 2014.
    1. Flinkman M., Laine M., Leino-Kilpi H., Hasselhorn H.-M., Salanterä S. Explaining young registered Finnish nurses' intention to leave the profession: a questionnaire survey. International Journal of Nursing Studies. 2008;45(5):727–739. doi: 10.1016/j.ijnurstu.2006.12.006. - DOI - PubMed
    1. Rauhala A., Kivimäki M., Fagerström L., et al. What degree of work overload is likely to cause increased sickness absenteeism among nurses? Journal of Advanced Nursing. 2007;57(3):286–295. doi: 10.1111/j.1365-2648.2006.04118.x. - DOI - PubMed
    1. Cummings G., Lee H., MacGregor T., etal. Factors contributing to nursing leadership: a systematic review. Journal of Health Services Research and Policy. 2008;13(4):240–248. doi: 10.1258/jhsrp.2008.007154. - DOI - PubMed

LinkOut - more resources