Seven Interruptions Before the Last Pill: Turning a Medication Pass Complaint Into an Answerable PICOT Question
Student Name
American College of Education
NUR4053: Research Methods and Evidence-Based Practice in Nursing
Module 1 Assignment
Instructor Name
July 6, 2026
The Irritation Behind the Question
I work nights on a 28-bed medical-surgical unit, where the 2100 medication pass is the busiest hour of the shift. Both the unit and my counts below are illustrative, assembled for this assignment. Every nurse on the unit complains about the same thing: you cannot give a patient their evening medications without being stopped. A call light goes off, a family member asks about discharge, the pharmacy calls about an order, a colleague needs a second check on insulin, the phone at the station rings for you. The complaint is usually made in the break room and forgotten by morning.
For this assignment I timed my own 2100 pass on three consecutive nights. Across 14 patients and 71 separate medication doses, I was interrupted 38 times, an average of about one interruption for every two doses, and on one patient's evening medications I was interrupted seven times before I had given the last pill. Twice I had to recheck a medication against the record because I had lost my place. Nothing went wrong that I know of. The complaint describes a real pattern, but a complaint is not yet a question, and only a question can be taken to the literature.
Background and Foreground Questions
Stillwell et al. (2010) distinguish between background questions, which ask for general knowledge about a topic, and foreground questions, which ask for specific evidence to guide a clinical decision. The first questions that came to mind were background questions. How often are nurses interrupted during medication administration? Do interruptions actually cause errors, or do they only feel dangerous? Those questions matter, and they can be answered from textbooks and descriptive studies, but they do not tell a unit what to do.
Some background reading answered the second question well enough to move forward. Westbrook et al. (2010) observed 98 nurses preparing and giving 4,271 medications in six wards at two teaching hospitals and reported that every interruption went with a 12.1 percent rise in procedural failures, such as lapses in aseptic technique, and a 12.7 percent rise in clinical errors, such as a wrong dose. Error severity also increased with the number of interruptions, and nurse experience did not protect against clinical errors. That study settled the background question for my purposes: interruptions during medication administration are associated with more and more serious errors. The foreground question is what my unit should do about it.
Two Drafts That Did Not Work
My first draft read: Do interruptions cause medication errors? It is a yes-or-no question about a relationship that has already been studied, it names no population and no intervention, and answering it would not change anything on my unit. It is a background question dressed as a research question.
My second draft read: Will a quiet zone reduce medication errors on our unit? This was closer, because it names an intervention and an outcome. But quiet zone could mean a marked floor area, a signaling vest, a closed medication room or a policy, each of which would be found under different search terms. Our unit is not a population a database can search, and the question had no comparison and no time frame. A database search on those words would have returned thousands of loosely related results or almost none.
Building the PICOT Question
The final question was built one element at a time. The population is adult inpatients on medical-surgical units, because that is where the problem occurs and where most of the relevant studies are likely to have been done. The intervention is a do-not-interrupt bundle during medication administration, a term chosen because the published interventions usually combine several parts: something the nurse wears or displays to signal that the nurse should not be stopped, strategies for redirecting interruptions, and education for staff and patients. The comparison is usual practice with no interruption-reduction strategy. The outcome is medication administration errors, with interruption rate as a secondary outcome, because reducing interruptions is only valuable if errors fall with them. The time frame is the duration of the intervention period, set at twelve weeks, long enough for novelty to wear off.
The complete question reads: In adult inpatients on medical-surgical units (P), does a do-not-interrupt bundle during medication administration (I), compared with usual practice (C), reduce medication administration errors and non-medication-related interruptions (O) over a twelve-week period (T)? Every element can now be turned into a search term, and every element limits the question in a way that makes the answer usable.
An early look at the literature confirmed that the question is answerable. Westbrook et al. (2017) conducted a cluster randomized feasibility study in eight wards of an Australian teaching hospital, in which nurses on intervention wards wore a vest during medication rounds and used strategies to divert interruptions. Non-medication-related interruptions fell from 50 to 34 per 100 administrations on the intervention wards, a significant reduction compared with control wards. The study did not measure errors, and only 48 percent of surveyed nurses said they would support the intervention as hospital policy, finding the vests hot and cumbersome. Both findings will shape how my search and appraisal proceed.
Question Type and the Evidence That Would Answer It
Because it compares doing something with not doing it and asks which leaves patients better off, this is an intervention question, also called a therapy question. Melnyk and Fineout-Overholt (2019) place systematic reviews of randomized controlled trials at the top of the hierarchy of evidence for intervention questions, followed by well-designed randomized trials. For this question, the most useful evidence would be a systematic review of interruption-reduction interventions that reports error outcomes, and after that, cluster randomized trials, because the intervention is delivered to whole units rather than individual nurses.
The PICOT elements also translate directly into the search the next module will carry out. The population becomes terms such as inpatients, hospital units and nursing staff; the intervention becomes interruption, distraction, do not interrupt, vest and quiet zone, combined with OR because different studies use different words for the same idea; the outcome becomes medication errors and medication administration errors, with the database's own subject headings added where they exist. Because the comparison is usual practice, it rarely needs its own search term. Writing these terms down now, while the reasoning behind each element is fresh, means the search can be documented and repeated rather than improvised at the keyboard.
The question also has practical limits that the search will need to respect. Studies in intensive care units or pediatric wards may not apply to my unit, and studies that report only interruption rates will leave the error question open. Knowing that in advance will keep the next module's search focused and make the appraisal honest about what the evidence can and cannot show.
Conclusion
The medication pass complaint on my unit was real, and a few nights of counting showed it. Turning it into a question required separating what is already known, that interruptions are associated with errors, from what my unit needs to decide, whether a do-not-interrupt bundle would help. Two failed drafts showed how easy it is to write a question that sounds useful and cannot be searched. The final PICOT question names a population, an intervention, a comparison, two outcomes and a time frame, and it points to the kind of study that would answer it. That is the difference between a break room complaint and the first step of evidence-based practice.
References
Melnyk, B. M., & Fineout-Overholt, E. (2019). Evidence-based practice in nursing and healthcare: A guide to best practice (4th ed.). Wolters Kluwer.
Stillwell, S. B., Fineout-Overholt, E., Melnyk, B. M., & Williamson, K. M. (2010). Evidence-based practice, step by step: Asking the clinical question: A key step in evidence-based practice. American Journal of Nursing, 110(3), 58-61. https://doi.org/10.1097/01.NAJ.0000368959.11129.79
Westbrook, J. I., Li, L., Hooper, T. D., Raban, M. Z., Middleton, S., & Lehnbom, E. C. (2017). Effectiveness of a 'Do not interrupt' bundled intervention to reduce interruptions during medication administration: A cluster randomised controlled feasibility study. BMJ Quality & Safety, 26(9), 734-742. https://doi.org/10.1136/bmjqs-2016-006123
Westbrook, J. I., Woods, A., Rob, M. I., Dunsmuir, W. T. M., & Day, R. O. (2010). Association of interruptions with an increased risk and severity of medication administration errors. Archives of Internal Medicine, 170(8), 683-690. https://doi.org/10.1001/archinternmed.2010.65
How this NUR 4053 Module 1 example is structured
NUR 4053 Module 1 typically starts with the question itself, turning a floor irritation into something a database can answer; your classroom's instructions decide the template and whether a PICOT worksheet or a short paper is expected. This example describes the practice problem with a small piece of local data, separates the background questions from the foreground one, shows two weak drafts and why each failed, and then builds the final question element by element. It closes by naming the question type and the kind of study that would answer it best, which sets up the searching and appraisal modules that follow.
NUR4053 Module 1 questions, answered
What does NUR4053 Module 1 usually ask for?
NUR4053 Module 1 typically asks students to turn a practice problem into a focused clinical question, usually in PICOT format. Many sections want the problem described, the question built element by element and the question type identified. Your classroom's instructions decide whether the deliverable is a worksheet, a short paper or a discussion post.
What makes a PICOT question strong?
Each element should be specific enough to become a search term: a defined population, a named intervention, a real comparison, a measurable outcome and a realistic time frame. The question should be one a clinical decision depends on, not a yes-or-no question about something already well established. Showing a weak draft and how you fixed it often earns extra credit.
Should I include local data in a PICOT paper?
A small amount of local data, such as a count of events on your unit over a few shifts, makes the problem concrete and shows why the question matters. Describe how you collected it, keep patient details out, and do not present it as research. Published studies should carry the weight of any claim about how common or serious the problem is.
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