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. Author manuscript; available in PMC: 2020 Jan 1.
Published in final edited form as: J Nurs Care Qual. 2019 Jan-Mar;34(1):40–46. doi: 10.1097/NCQ.0000000000000334

Table.

Effect of Nurse Engagement and Nurse Staffing on Patient Safety

Nurse Engagement
Nurse Staffing
OR (95% CI) p-value OR (95% CI) p-value
Unfavorable patient safety grade .71 (.68–.75) <.001 1.06 (1.03–1.10) <.001

Ways to prevent errors from occurring are not discussed .76 (.72–.80) <.001 1.02 (.98–1.06) .375

Actions of administrators do not show that patient safety is a top priority .65 (.61–.69) <.001 1.05 (1.01–1.10) .023

We are not given feedback about changes put in place based on incident reports .74 (.71–77) <.001 1.01 (.97–1.04) .646

Important information about patients is lost during shift change .87 (.83–.91) <.001 1.05 (1.02–1.09) .002

Things fall through the cracks when transferring patients .88 (.85–.92) <.001 1.06 (1.02–1.09) .001

Staff do not feel free to question decisions of those in authority .79 (.76–.82) <.001 1.07 (1.04–1.10) <.001

Staff feel mistakes are held against them .81 (.78–.85) <.001 1.03 (.10–1.07) .064

Abbreviations: OR, odds ratio; CI, confidence interval.

Odds Ratios are from logistic regression models that estimate the net effects of a 1-unit increase in Nurse Staffing (1 additional patient per nurse) or a 1-category shift in Nurse Engagement (eg, from least to somewhat or somewhat to moderate, on engagement) on the odds of unfavorable nurse responses to patient safety questions. All models adjust (or control) for nurse characteristics and hospital characteristics.