This document summarizes the results of a study examining factors that affect patients' perception of having their pain well controlled during a hospital stay. The study found that documenting a patient's pain score, documenting pain medication times, and assessing a patient's pain level during rounding had a significant impact on how well patients felt their pain was controlled. Assessing pain levels during rounding had the greatest effect. Limitations include that the results are based on a small study, and monitoring a larger number of patient survey responses over time would provide more insight into how improving compliance with pain management practices affects patient perceptions.
2. Full Factorial
Two Level
Three Factors
Pain Score in room on white board
MedicationTime Documented-Last Pain Med &
next time can take
Patient’s pain level assessed during rounding
Two replicates
Blocks –by unit (2)
3. Estimated Effects and Coefficients for Score with Pt. Navigator (coded units)
Term Effect Coef SE Coef T P
Constant 3.1875 0.06250 51.00 0.000
Block -0.0625 0.06250 -1.00 0.351
Pain Score documented 0.6250 0.3125 0.06250 5.00 0.002
Med time documented 0.8750 0.4375 0.06250 7.00 0.000
Rounds Pain Assessment 2.3750 1.1875 0.06250 19.00 0.000
Pain Score documented* 0.1250 0.0625 0.06250 1.00 0.351
Med time documented
Pain Score documented* -0.3750 -0.1875 0.06250 -3.00 0.020
Rounds Pain Assessment
Med time documented* -0.1250 -0.0625 0.06250 -1.00 0.351
Rounds Pain Assessment
Pain Score documented* 0.1250 0.0625 0.06250 1.00 0.351
Med time documented*
Rounds Pain Assessment
S = 0.25 PRESS = 2.28571
R-Sq = 98.46% R-Sq(pred) = 91.96% R-Sq(adj) = 96.70%
10. Did see the three factors have an significant
impact on our patient’s perception of pain well
controlled during their stay
The most significant impact is the pain
assessment during rounding
Limitations – the residuals results –
On a larger scale all our discharged patients receive
the NRC Picker survey. We will monitor results over
time for this question as we ensure compliance to
standard practices from the results of this DOE.
Editor's Notes
The patient satisfaction survey question, “Pain was well controlled during your hospital stay”, has been an area that our clinical staff have tried to improve upon. They have put into place new initiatives, but have not determined the most effective practice to improve this score and sustain performance. This DOE will help identify if the initiatives improve patient’s feeling of their pain being well controlled and what action has the most significant impact for improving our scores.
Patient’s on the Ortho and Surgical units were selected for this study. Each patient was asked at discharge by our patient navigator how they would rate how well their pain was controlled on a scale of 1 to 5, one being the lowest possible score and 5 being the highest. This interview was completed off the floor as the patient was escorted to their family vehicle. Patients on these units were randomly selected for each of the categories by their D numbers.
Interpretations:
The block (2 different units) is not significant with a p value of 0.351. The unit results do not differ significantly.
All three factors have significant impact on the question of pain well controlled during stay.
The only interaction that is significant is the two interaction of pain score documented and rounds pain assessment.
High R squared value
Histogram – provides a nice visual of the results from the most significant factor, in descending order. The pain assessment during rounds has the most significant impact, at the 0.05 level; all three factors alone have a significant impact along with the interaction between A and B.
In the reduced model, A, B, C and AB demonstrate significance at the 5% level, with pain assessment during rounding being the most significant factor.
1.Normal probability Plot – the residuals follow the diagonal line, however they are in grouped.
2. Residuals vs. fit plot- they are scattered, however in a non random fashion for the most part
3. Histogram of the residual
4. Residuals vs. order demonstrates randomness over the line, with the exception of observations 14,15, and 16.
We had two observations with unusual observations denoted in our results.