NURS 8705 Week 7 Setting Size Discussion Post Example

Week 7 Discussion: Initial Post

Twelve Beds, Every Case: Why a Small Post-Anesthesia Unit Can Hold Doctoral Work on Discharge Scoring

A twelve-bed post-anesthesia care unit is a defensible boundary for doctoral work when the process being studied happens on every case that passes through it. My problem concerns the scoring that nurses complete before discharging a patient from phase I recovery. On our unit, a modified Aldrete score is documented for every patient, and the unit's policy requires a score of 9 or higher, with no item scored zero, before transfer to a surgical floor. The original score was designed as a simple, repeatable way to judge readiness for discharge from recovery (Aldrete, 1995). In a sample audit of 60 records, 13 showed a discharge score of 9 or 10 although a vital sign or oxygen saturation documented within the previous fifteen minutes would have produced a lower score. The concern is not that nurses discharge unready patients knowingly, but that the score is being completed as a formality rather than as an assessment.

My argument rests on two moves. The first separates the size of a setting from the frequency of an event. Our unit is small, but it recovers about 6,800 patients a year, and every one of them receives a discharge score. A larger service in which the process of interest occurs occasionally may produce fewer observations than this small unit produces in a month. For a problem about a universal process, the number of beds is the wrong measure of size; the number of times the process occurs is the right one.

The second move names the real limit, which is transfer. A problem confined to one unit can support doctoral work if what is learned there could inform practice somewhere else. Reporting guidelines for quality improvement work ask authors to describe their context precisely so that others can judge whether findings apply to their own settings (Ogrinc et al., 2016). Some small settings fail this test: a unit with a unique staffing arrangement or a one-of-a-kind patient population may produce findings that apply nowhere else. I think our unit passes, because discharge scoring is required by perianesthesia nursing standards and used in recovery units everywhere (American Society of PeriAnesthesia Nurses, 2023), and the gap between documented scores and documented observations is likely to exist in other units that rely on the same form.

Let me test both moves against a counterexample I volunteer myself. Suppose my problem were a rare complication in our PACU, such as malignant hyperthermia, which our unit might see once in several years. The first move would fail, because twelve beds would produce almost no observations. The second move might pass, since findings would transfer, but there would be nothing to find. So small is not always fine. It is fine when the event is frequent and the process is shared.

My position: a twelve-bed unit is a defensible boundary when the event is universal within it and the process is common across units. Where would you draw the line?

Reply to Kwame

Kwame, you accepted my frequency argument but rejected the transfer claim, arguing that documentation habits are local culture and will not travel. That is a serious objection. If the gap between score and observation comes from how our unit trained its nurses or how our charge nurses push for beds, then findings about it may not apply to a unit with different habits. I would answer in two parts. The form and the standard are shared, so the opportunity for the gap is shared; whether the gap exists elsewhere is an empirical question that other units could check with the same audit. And even if the causes are local, the method of finding the gap, comparing scores with nearby observations, would transfer. Is a transferable method enough for you, or do you think doctoral work needs transferable findings?

Reply to Hannah

Hannah, you took the opposite position from Kwame, accepting that findings would transfer but doubting the frequency argument, because 6,800 discharge scores are not 6,800 independent observations when the same thirty nurses complete them. That is an important point I had not considered. Scores completed by the same nurse are likely to resemble each other, so the effective number of observations is smaller than the raw count. The ordinary approach in quality improvement would be to treat the nurse, or the shift, as a level of clustering and to sample across nurses rather than across records. That would reduce my 6,800 to something closer to a few hundred meaningful observations, which is still large for a unit project. You have improved my design, and I will add clustering to the problem statement's limits.

References

Aldrete, J. A. (1995). The post-anesthesia recovery score revisited. Journal of Clinical Anesthesia, 7(1), 89-91. https://doi.org/10.1016/0952-8180(94)00001-K

American Society of PeriAnesthesia Nurses. (2023). 2023-2024 perianesthesia nursing standards, practice recommendations and interpretive statements.

Ogrinc, G., Davies, L., Goodman, D., Batalden, P., Davidoff, F., & Stevens, D. (2016). SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): Revised publication guidelines from a detailed consensus process. BMJ Quality & Safety, 25(12), 986-992. https://doi.org/10.1136/bmjqs-2015-004411