NR 439 Week 4 Sample Paper

Patient-Engaged Fall Prevention on a 32-Bed Medical-Surgical Unit: An Evidence Appraisal of One PICOT Question

Student Name

College of Nursing, Chamberlain University

NR 439: RN Evidence-Based Practice

Instructor Name

Month Day, Year

What this page is doingWhy this title works: it names the intervention, the setting and the size of the unit, then names the genre of the document, so a reader knows within one line that this is an appraisal and not a summary. It also signals that a single PICOT question governs the paper, which is what an evidence-based practice reader looks for first. No hospital, employer or patient is named, because the unit is a composite built to carry the reasoning. The block is plain APA 7 student format with no running head.

Practice Problem and the PICOT Question

Falls are one of the few inpatient harms a bedside nurse can influence in the same shift in which the risk appears, which is why they belong in an evidence-based practice course rather than in a policy binder. The unit described here is a composite: a 32-bed medical-surgical unit in a community hospital, staffed at five patients per nurse on days and six on nights, with a median patient age of 71. Over the most recent 12 months the unit recorded 35 falls across about 9,700 patient days, a rate of 3.6 falls per 1,000 patient days, and 9 of those falls carried an injury above minor. Fall risk screening was documented within four hours of admission for every one of those patients. The screening was complete and the falls happened anyway.

The clinical question was written in PICOT form so that every element could be searched and then matched against what the retrieved studies actually measured. The population is hospitalized adults 65 years and older on an acute medical-surgical unit. The intervention is a multifactorial fall prevention bundle in which the patient helps build a bedside plan naming that person's own risk factors and the action that follows from each one. The comparison is fall risk screening scored and documented in the electronic health record alone. The outcome is falls with injury per 1,000 patient days, and the time frame is six months. In one sentence: in hospitalized adults 65 and older, does a patient-engaged multifactorial fall prevention bundle, compared with documented risk screening alone, reduce falls with injury per 1,000 patient days over six months?

CINAHL Complete and PubMed were searched with the terms accidental falls, hospital, inpatient, multifactorial, prevention and patient participation, combined with Boolean operators and limited to English language sources published between 2015 and 2025 in adult populations. The search returned 214 records. After duplicates were removed and titles and abstracts were screened against the population and the outcome, 18 full texts were read and 5 sources were retained. Four of those five are appraised below as evidence for the question; the fifth supplies the appraisal framework and the level designations used throughout (Melnyk & Fineout-Overholt, 2023). Retention was decided on directness to the PICOT elements rather than on whether a source agreed with the intervention.

What this page is doingTwo moves earn credit here. The PICOT question appears element by element and then again as one sentence, so a grader can check each element against the studies that follow instead of taking the question on trust. The search is reported with its databases, terms, limits and yields, including how many records fell out at each step. A search that can be repeated is the difference between a literature section and an anecdote, and the count also shows the writer read past the first page of results.

Appraising the Strongest Evidence

The Cochrane review by Cameron et al. (2018) is the highest-level source retrieved and the most carefully built. It follows a registered protocol, screens in duplicate, assesses risk of bias in each included trial, and grades the certainty of every pooled estimate rather than reporting a single headline number. Those features are the reason to trust it, and they are also the reason it cannot carry this practice question on its own. For multifactorial interventions in hospitals the pooled estimate favored the intervention, but the confidence interval crossed the line of no effect and the review authors graded the certainty of that estimate as low, citing risk of bias in the included trials and inconsistency between them. A systematic review sits at the top of the evidence hierarchy by design, not by result, and this one grades its own hospital estimate as low certainty.

Dykes et al. (2020) report a nonrandomized controlled trial of a patient-centered fall prevention tool kit across 14 medical units in three academic medical centers, covering more than 35,000 admissions, and they found significantly fewer falls in the intervention period along with a larger relative reduction in falls that caused injury. The design is the honest weakness. Without randomization, a secular trend in falls or a concurrent safety initiative could explain part of the effect, and units rather than patients received the intervention, so the analysis has to account for clustering or the precision it reports will be flattering. Two features earn back some of that ground: the study measured fidelity to the bundle instead of assuming it, and the setting and population sit close to this PICOT question, which is more than the pooled hospital estimate above can say.

Each of those two sources is strong exactly where the other is weak. The review has the better internal safeguards and the worse directness, since much of its pooled hospital evidence comes from subacute and care-facility settings that do not turn patients over the way a 32-bed medical-surgical unit does. The trial has the better directness and the weaker defense against confounding. Read together they point the same way, and agreement between a low-certainty pooled estimate and a large nonrandomized trial is worth more than either source alone, but it is not the same thing as a well-powered randomized trial reporting an injury outcome. That distinction decides how the recommendation at the end of this paper is worded.

What this page is doingThis is the section that separates an appraisal from a book report. Each source is judged before it is quoted: protocol, duplicate screening and certainty grading for the review, then the missing randomization, the clustering problem and the fidelity measurement for the trial. The confidence interval crossing no effect is stated rather than hidden, which is what an honest reader of evidence does with an inconvenient result. The closing paragraph weighs the two against each other rather than stacking them, so agreement is treated as partial support.

What the Weaker Sources Can and Cannot Support

The AHRQ (2013) fall prevention toolkit and Sentinel Event Alert 55 from The Joint Commission (2015) are not studies, and appraising them as if they were would be the easiest mistake available in this paper. The toolkit is implementation guidance assembled from expert consensus and field testing; it has no comparison group and reports no effect size, so it cannot be cited to claim that a bundle works. What it can carry is structure, including the unit champion role, the audit cadence and the practical sequence for putting a bundle into daily work. The sentinel event alert draws on a voluntary reporting database with a known undercount, so its value is its contributing-factor list, not its counts. Both sources belong in the paper, labeled for what they are.

The CDC (2024) fall data play a third role again. National surveillance describes how common falls and fall injuries are among older adults and what they cost, which sets the size of the problem and supplies the denominators a single unit rate is compared against. It says nothing about whether any particular bundle changes that rate. Using descriptive epidemiology to justify an intervention is a category error that reads convincingly and proves nothing, and it is common enough in student papers to be worth naming here. In this appraisal the surveillance data appear in the problem statement and nowhere in the recommendation.

Weighed together at the level each source actually occupies, the evidence supports a qualified yes. The direction of effect is consistent across the strongest sources, the size of the effect on injury falls is not established for an acute medical-surgical population, and no retrieved source isolated the patient-engaged element from the rest of the bundle, which is the part this unit would have to build. The reasonable step is to put the bundle in place with the bedside plan and to measure falls with injury per 1,000 patient days each month for six months against the 12-month baseline stated at the start, treating the result as local evidence rather than as confirmation. A well-conducted randomized trial reporting an injury outcome in acute adult inpatients would change this appraisal, and its absence is the honest limit of what can be claimed.

What this page is doingWeak sources are labeled, not dropped. Guidance documents and surveillance data are kept and assigned the work they can actually do, which is structure and problem size, while the claim about effect is left to the two studies that tested one. The conclusion is then written at the strength the evidence carries, with the unresolved element named and a measurement plan attached. Saying what would change the answer is a graduate-level move that costs nothing and demonstrates the writer understands the limits of the appraisal.

References

Agency for Healthcare Research and Quality. (2013). Preventing falls in hospitals: A toolkit for improving quality of care (AHRQ Publication No. 13-0015-EF). U.S. Department of Health and Human Services. https://www.ahrq.gov/patient-safety/settings/hospital/fall-prevention/toolkit/index.html

Cameron, I. D., Dyer, S. M., Panagoda, C. E., Murray, G. R., Hill, K. D., Cumming, R. G., & Kerse, N. (2018). Interventions for preventing falls in older people in care facilities and hospitals. Cochrane Database of Systematic Reviews, 2018(9), Article CD005465. https://doi.org/10.1002/14651858.CD005465.pub4

Centers for Disease Control and Prevention. (2024). Facts about falls. U.S. Department of Health and Human Services. https://www.cdc.gov/falls/data-research/facts-stats/index.html

Dykes, P. C., Burns, Z., Adelman, J., Benneyan, J., Bogaisky, M., Carter, E., Ergai, A., Lindros, M. E., Lipsitz, S. R., Scanlan, M., Shaykevich, S., & Bates, D. W. (2020). Evaluation of a patient-centered fall-prevention tool kit to reduce falls and injuries: A nonrandomized controlled trial. JAMA Network Open, 3(11), Article e2025889. https://doi.org/10.1001/jamanetworkopen.2020.25889

Melnyk, B. M., & Fineout-Overholt, E. (2023). Evidence-based practice in nursing and healthcare: A guide to best practice (5th ed.). Wolters Kluwer.

The Joint Commission. (2015). Sentinel event alert 55: Preventing falls and fall-related injuries in health care facilities. https://www.jointcommission.org/resources/sentinel-event/sentinel-event-alert-newsletters/

How this NR 439 Week 4 example is structured

In many sections the NR 439 Week 4 assignment asks for an appraisal of the evidence behind one PICOT question rather than a summary of articles, and your classroom's instructions and rubric decide the exact form and template. This example follows the order the work runs in for a working nurse in Chamberlain University's RN Evidence-Based Practice course, taken at the RN-to-BSN level. The first section states the practice problem on the unit and turns it into a PICOT question with a search that could be repeated. The second section appraises the two strongest sources one at a time, naming design, certainty and directness before any finding is quoted. The third section keeps the weaker sources in view, says plainly what each can and cannot support, and answers the question at the strength the evidence actually carries.

NR 439 Week 4 questions, answered

What makes an evidence appraisal different from an article summary?

A summary reports what a study found. An appraisal judges whether the finding can be believed and whether it answers your question: design, sample, risk of bias, certainty, and how close the study population sits to yours. In the paper above, the strongest source is also the one graded low certainty, and saying so is the appraisal.

How many sources should an NR 439 Week 4 evidence appraisal use?

Your classroom's instructions and rubric decide the number, so read them before you search. The example above retains five sources from 214 records and appraises four of them as evidence, which is a workable shape. Directness to your PICOT elements matters more than the count, and one well-appraised trial beats four articles restated in turn.

Can I write the paper about a problem on the unit where I work?

Write about the practice problem, not the workplace. The example uses a composite unit with a composite baseline and names no employer, no colleague and no patient, which keeps the paper clear of privacy problems while leaving the clinical reasoning intact. If you use real unit data, check what your classroom permits and strip anything that identifies a person or a site.

Write yours, or have the desk draft it

This paper is an original model document written by our desk, not a submitted student paper and not an official Chamberlain University document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.

NR 439 Week 4: sample paper, in real form