Reference no: EM132432551

You and your department's safety officer decide to conduct research on past events and compare it to staffing numbers. You use multivariate linear regression models to estimate the effect of unmet nursing care needs on adverse events given the influence of patient factors and the care environment.

1. Give a sample null hypothesis and alternative hypothesis for the situation (Hint: Use the information measured in the multivariate linear regression model to inform the variables used in the hypotheses).

Results are as follows: 

Adverse events were found to occur 25% more frequently when staffing fell below normal standards (less than 90% fully staffed for 2 days or more), with CI of [19-29.5]. The p-value was < 0.005. 

2. Describe in words what the results mean. Include CI, and p-value.

3. Is the result statistically significant? Why? And why is that important/not important?

The study is then conducted throughout a system of hospitals within your area, and the results are found to be a little different. Adverse events were found to occur 10% more frequently when staffing fell below normal standards (less than 90% fully staffed for 2 days or more), with CI of [5-0]. The p-value was < 0. 5. 

4. Describe in words what the results mean. Include CI, and p-value.

5. Is the result statistically significant? Why?

6. True or false: Because the information is statistically insignificant, you can accept the null hypothesis. Explain your answer discussing the types of error (1 and 2).

7. Hill's criteria for causation (Aschengrau & Seage, 2008, pp. 392-399) are an important set of standards to consider even with mathematical assurance that there is significance to an association. Choose three of Hill's guidelines (like temporality, dosage, plausibility) and explain why the above analysis follows these guidelines (or does not) and why. Also explain if this encourages or discourages that nursing staffing levels have a causal relationship with an increase in adverse events.