Descriptive cross sectional study A self admi nistered questionn aire was

Descriptive cross sectional study a self admi

This preview shows page 14 - 18 out of 19 pages.

Descriptive, cross sectional study A self-admi nistered questionn aire was complete d by nurses . Stratified simple random sampling was used. 652 nurses throughout 12 private hospitals. Data was collected based off of the nurse's answers of the questionnair e sent out to determine if patient-cente redness effects the nursing staff shortage HAYES process macro-re gression was used to analyze the effects of patient centered ness on the nurse relations hips QC (F = 52.73 and P = 0.000) and PS (F = 31.56 and P = 0.000). This data supports the research that patient centeredne ss does in fact affect decrease the nursing shortage.
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FINAL PROJECT 15 Oostveen, C. J., Mathijssen, E., & Vermeulen, H. (2015). Nurse staffing issues are just the tip of the iceberg: A qualitative study about nurses’ perceptions of nurse staffing. International Journal of Nursing Studies, 52 (8), 1300–1309.https:// doi-org.ezproxy.sn hu.edu/10.1016/j.ij nurstu.2015.04.002 0020 Phenomenolog ical qualitative study Data was collected from a 1000 bed Dutch University that had 24 wards from Septembe r 2012-Dec emebr 2012. 20 head nurses, 4 nurse directors and 3 quality advisors. 27 interviews were conducted using the purposive sampling method. The interviews were recorded and transcribed. Thematic analysis No data was provided, it was a mere interview that provided the informatio n to further research upon.
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FINAL PROJECT 16 Haegdorens, F., Van Bogaert, P., De Meester, K., & Monsieurs, K. G. (2019). The impact of nurse staffing levels and nurse’s education on patient mortality in medical and surgical wards: an observational multicentre study. BMC Health Services Research, 19 (1). Retrieved from oxy.snhu.edu/10.11 86/s12913-019-468 8-7 Observational longitudinal study using a randomized controlled trial. 14 medical and 14 surgical wards were used throughou t 7 different hospitals in Belgium for 16 months focusing on patient morbidity and staffing levels. Control group consisted of 34,267 patient admissions Data was aggregated from the hospitals pertaining to patients age, length of stay, number of comorbiditie s. IBM SPSS Statistics version 24 for MAC OS was used for analysis along with a linear mixed model analysis to assess the relationshi p between staffing levels and outcome variables. Yes, data was collected to support the research question. “A mean NHPPD of 2.48, consistent with the known numbers for Belgium (24 h / 10.8 patients per nurse = a pproximate ly 2.22 NHPPD” (Haegdore ns. Bogaert, Meester & Monsieurs, 2019).
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FINAL PROJECT 17 Liu, X., Zheng, J., Liu, K., Baggs, J. G., Liu, J., Wu, Y., & You, L. (2018). Hospital nursing organizational factors, nursing care left undone, and nurse burnout as predictors of patient safety: A structural equation modeling analysis. International Journal of Nursing Studies, 86 , 82–89. oxy.snhu.edu/10.10 16/j.ijnurstu.2018.0 5.005 Cross-section al study. 111 medical surgical units were randomly sampled in 23 hospitals in South China.
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