Presenting the Evidence on Nurse-Led Telephone Follow-Up After Heart Failure Discharge
Presenter Notes for a Cardiac Telemetry Staff Briefing
Student Name
School of Nursing and Health Sciences, Capella University
NURS-FPX4025: Research and Evidence-Based Decision Making
Dr. Instructor Name
Month Day, Year
Slide 2: The Problem, in Our Own Numbers
I want to start with our numbers rather than with the literature, because the literature is only interesting if it answers something we are already living with. In the 12 months ending June 30 we discharged 214 patients from this unit with a principal diagnosis of heart failure. Forty-one of them came back for any reason within 30 days, which is 19.2%. Twenty-six of those 41 returned with heart failure as the principal diagnosis and 15 returned with something else. I am showing both counts on the slide because we tend to quote whichever one supports the point we are making, and I would rather we all look at the same denominator.
The second number on this slide is the gap. Nothing in our discharge process puts a person in contact with the patient between the moment they leave and their first clinic appointment, and for most of our patients that appointment falls between day 10 and day 21. The riskiest stretch is unstaffed by design rather than by accident. When I pulled the 41 readmissions, 24 of them happened on or before day 14. I am not claiming that the timing proves the gap caused them. I am saying the timing is where I would look first, and that is why I searched the question I searched.
Two cautions before I go further, and I would rather say them now than have one of you say them for me. These are counts from one unit over one year, so they carry the ordinary instability of small numbers, and five or six readmissions in either direction would move that 19.2% by more than two points. They are also administrative counts pulled from discharge coding rather than chart review, so misclassification is possible in both directions. Nothing I present after this slide is stronger than the data underneath it, and this is the data underneath it.
Slide 3: The Question, and How I Searched
The question on this slide is written in PICO(T) form, and I will read it once because the wording is doing work. In adults discharged home after an admission for acute decompensated heart failure, does a nurse-led structured telephone call placed within 72 hours of discharge, using a scripted symptom, weight, and medication review, compared with our current written instructions and no scheduled contact, reduce all-cause readmission within 30 days? Notice that the comparison is us, as we practice today. A question compared against nothing in particular cannot be answered, and it cannot be measured afterward either (Melnyk & Fineout-Overholt, 2023).
The search is on the slide in full so that anyone here can run it again and check me. I searched CINAHL Complete, MEDLINE through PubMed, and the Cochrane Library, pairing subject headings with free-text terms joined by Boolean operators, limited to English, adults, and 2014 forward, except in Cochrane where I left the date open. That returned 699 records, 641 after duplicates, 23 after screening titles and abstracts against the question, and 4 after reading full texts. Four is not a thin yield for a question this specific. It is what remains once everything answering a different question is removed.
What I could not find matters as much as what I found, so it is on the slide too. The English and date limits mean that work in other languages and several older trials are missing from this yield. Published studies also outnumber unpublished ones in any database, and interventions that were tried and failed are less likely to have been written up at all. If anyone here knows of a trial I have missed, that is the most useful thing you can say to me in the next ten minutes, and I will bring it back to the group.
Slide 4: What the Evidence Shows, and What It Does Not
Here is the honest version of the findings, and the second half of this slide is the part I want you to remember. The Cochrane review of structured telephone support found that it reduced heart failure related hospitalization, with a risk ratio of 0.85 and a 95% confidence interval of 0.77 to 0.93, and that it reduced all-cause mortality, risk ratio 0.87 with an interval of 0.77 to 0.98 (Inglis et al., 2015). Those are real effects with intervals that stay below one. The same review found no significant reduction in all-cause hospitalization, which is the outcome our administrators quote at us every month.
A network meta-analysis of transitional care models found the same shape. Nurse home visiting and disease management clinics were associated with lower all-cause readmission, while structured telephone support on its own was associated with lower mortality and not with lower readmission (Van Spall et al., 2017). Because that analysis compares models partly through indirect evidence, I would treat the ranking as a strong hint rather than a settled result. The randomized trial in my set showed reduced hospital utilization within 30 days, but in a general medical population and with a discharge bundle rather than a call by itself (Jack et al., 2009).
So when someone asks whether this call will lower our 30-day readmission rate, the answer I owe you is that the evidence does not say so. It is worth separating two very different sentences: this was studied and did not work, and this has barely been studied at the 30-day mark. The pooled trials mostly measured outcomes at three to six months, so our window is thin rather than disproven. If I stood here and told you a phone call would fix 19.2%, I would be selling you something that the papers behind me do not contain.
Slide 5: What I Am Asking For, and How We Will Know
What I am proposing is smaller than what I set out wanting. Implement the 72-hour call, because the outcomes it does support, fewer heart failure hospitalizations and lower mortality, are worth having on their own terms. Pair it with a scheduled clinic or home contact inside seven days, because that pairing is the piece both syntheses associate with lower readmission. The second half is the part that costs something, and I would rather ask for it openly than let a phone call carry a promise it cannot keep (Agency for Healthcare Research and Quality, 2023).
Measurement is the next line on the slide. We report two outcomes side by side, heart failure related readmission at 30 days and all-cause readmission at 30 days, each divided by that month's heart failure discharge cohort, against the 214-patient baseline year already on file. We report call completion within 72 hours as a process measure, because completing only half the calls would test our staffing rather than the intervention. Six months of data before anyone draws a conclusion, and no conclusion at all from a single month of numbers this small.
Last thing, and then I will take questions. Nothing in this briefing establishes cause. Every source I appraised reports association, some from pooled randomized trials and some from indirect comparison, and our own before-and-after numbers will be weaker still, because a unit changes in a dozen ways over six months. What we can honestly claim, if this works, is that readmissions fell during a period when we did this. That is a real thing to know, it is not proof, and I would rather we say it that way from the first month than have to walk it back later.
References
Agency for Healthcare Research and Quality. (2023). Care transitions from hospital to home: IDEAL discharge planning. AHRQ.
Inglis, S. C., Clark, R. A., Dierckx, R., Prieto-Merino, D., & Cleland, J. G. F. (2015). Structured telephone support or non-invasive telemonitoring for patients with heart failure. Cochrane Database of Systematic Reviews, 2015(10), Article CD007228.
Jack, B. W., Chetty, V. K., Anthony, D., Greenwald, J. L., Sanchez, G. M., Johnson, A. E., Forsythe, S. R., O'Donnell, J. K., Paasche-Orlow, M. K., Manasseh, C., Martin, S., & Culpepper, L. (2009). A reengineered hospital discharge program to decrease rehospitalization: A randomized trial. Annals of Internal Medicine, 150(3), 178-187.
Melnyk, B. M., & Fineout-Overholt, E. (2023). Evidence-based practice in nursing and healthcare: A guide to best practice (5th ed.). Wolters Kluwer.
Van Spall, H. G. C., Rahman, T., Mytton, O., Ramasundarahettige, C., Ibrahim, Q., Kabali, C., Coppens, M., Haynes, R. B., & Connolly, S. (2017). Comparative effectiveness of transitional care services in patients discharged from the hospital with heart failure: A systematic review and network meta-analysis. European Journal of Heart Failure, 19(11), 1427-1443.
How this NURS FPX 4025 Assessment 4 example is structured
This NURS FPX 4025 Assessment 4 example is a notes document, so it is ordered the way a briefing is delivered rather than the way a paper is argued. The title slide follows APA student form because Capella University still expects it on a presentation. The first content slide opens with the unit's own numbers, since peers will not accept a claim from the literature before they accept the problem. The second gives the question and the whole search, so anyone in the room can check the work. The third separates supported outcomes from unsupported ones out loud. The last asks for a specific change, names the measures, and refuses a causal claim. Delivering that last refusal is what the RN-to-BSN course Research and Evidence-Based Decision Making is grading.
NURS-FPX4025 Assessment 4 questions, answered
How long should the NURS FPX 4025 Assessment 4 presentation be?
Follow the length and recording instructions in your own courseroom, since they change between revisions of the assessment. As a working rule, build the notes first and let them set the slide count, because the notes are what carry the argument and the citations. Slides that hold headings and numbers, with the reasoning spoken, present far better than slides crowded with text.
Do speaker notes need APA citations?
Yes. Any claim drawn from a source needs an in-text citation where you say it, and the deck needs a references slide in APA form. Notes are the place citations belong, since a slide holding a single number stays readable while the note beneath it carries the attribution. Cite in the notes, list in full at the end.
What if my findings will not be popular with the unit?
Say them anyway, and say them early. Peers respond better to a presenter who names the weak spot before they find it than to one who is caught softening a result. Report what the evidence supports, name what it does not, and then bring a proposal sized to the evidence rather than to the hope. That is the competency being assessed.
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