DDHA 9500 Week 1 Topic Narrowing Post Example

DHA Project Prospectus Walden University Free custom sample in 24 to 48h

This DDHA 9500 Week 1 discussion post example takes an over-wide doctoral topic, staffing shortages and patient throughput in emergency care, and splits it into two problems. Walden DDHA 9500, the DHA prospectus course, begins the term by testing whether a topic is one project or several, and the post separates emergency nurse staffing from ambulance offload delay by population, measure and literature, citing Needleman and colleagues for the first and Cooney and colleagues for the second. It chooses offload delay because the time stamps already exist and the effect looks large, with Li and colleagues' review placing the cause inside hospitals. It then states the cost: setting aside the nurse staffing problem that brought the writer into the program, and relying on another organization's data. Two replies apply the same split to a classmate's burnout topic and add a cost to another's discharge choice.

CourseDDHA 9500 DHA Project Prospectus
WeekWeek 1
Paper typeDoctoral discussion post with two replies
LengthAbout 590 words, 4 pages
FormatDiscussion post, APA 7 citations
SchoolWalden University
ProgramDoctor of Healthcare Administration (DHA)
UpdatedOctober 2026

Free sample paper for DDHA 9500 Week 1

1

Week 1 Discussion: Narrowing a Doctoral Topic

"Staffing and Throughput" Is Two Projects: Choosing Ambulance Offload Delay Over Emergency Nurse Staffing, and What the Choice Gives Up

My topic arrived in the shape most of ours seem to: the effect of staffing shortages and patient throughput on emergency care at Riverbend Health, the composite three-hospital system where I work. Written that way it sounds like one project. It is at least two, joined by an "and."

The first problem is emergency department nurse staffing and how long patients stay in the department. Its affected population is emergency patients, its measure is length of stay, and its literature is the large body of work on nurse staffing and patient outcomes, such as the inpatient mortality study by Needleman et al. (2011). The second problem is ambulance offload delay: the time an ambulance crew waits at the emergency department before staff take over care of the patient they brought. Its affected population is different, the community waiting for an ambulance that is parked in a hospital bay, as well as the patient on the stretcher. Its measure is the offload interval, and its literature sits in emergency medical services research. Cooney et al. (2011), in a resource document for a national EMS physicians' position statement, describe offload delay as a problem that removes ambulances from service and shifts risk to people waiting for a response. One project cannot serve both populations, measures and literatures.

I am choosing offload delay. The deciding reasons are information and size. Riverbend's emergency departments and the county ambulance service both record time stamps for arrival and transfer of care, so the measure exists already. And the effect appears large: in the composite county's monthly reports, crews at our busiest hospital waited more than 30 minutes on a substantial share of arrivals last winter. Li et al. (2019), reviewing the offload delay literature, found that most studies tied delays to crowding and blocked access inside hospitals, which makes it a hospital administration problem rather than an EMS one.

The cost is real. I came into this program because of nurse staffing on my own unit, and choosing offload delay means setting that aside for this project. It also means relying on another organization's data, which adds a permission I do not control. I would like to hear whether others found their topic splitting this way, and what they gave up.

What this page is doingThe post names the wide topic, separates its two problems by population, measure and literature, chooses with stated reasons and admits the cost, which is the sequence the Week 1 prompt rewards.
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Reply to Benedikt

Benedikt, you described your topic as "physician burnout and documentation burden" and said you would keep both because they are linked. I think your own example splits. Burnout is measured in clinicians with a survey instrument; documentation burden is measured in record system time logs. They draw on different literatures and would need different data. You could study one as the cause of the other, but then the project is about the link, and you would need both measures for the same clinicians over time. Is that feasible in your organization, or would choosing one be the safer start?

What this page is doingThe reply applies the post's test, populations, measures and literature, to the classmate's topic and turns the result into a question.
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Reply to Ifeoma

Ifeoma, I agree with your choice of medication reconciliation errors at discharge over the broader "transitions of care," though one cost seems missing from your list. Narrowing to discharge means losing the admission side, where many reconciliation errors start. Li et al. (2019) make a related point about offload delay: problems that show up at one handoff often originate earlier in the flow. You may want to say in your prospectus that your project starts at discharge by choice, so reviewers know you saw the admission side and set it aside on purpose.

What this page is doingAdding a cost the classmate had not named, with a parallel from the post's own literature, extends rather than repeats her reasoning.
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References

Cooney, D. R., Millin, M. G., Carter, A., Lawner, B. J., Nable, J. V., & Wallus, H. J. (2011). Ambulance diversion and emergency department offload delay: Resource document for the National Association of EMS Physicians position statement. Prehospital Emergency Care, 15(4), 555-561. https://doi.org/10.3109/10903127.2011.608871

Li, M., Vanberkel, P., & Carter, A. J. E. (2019). A review on ambulance offload delay literature. Health Care Management Science, 22(4), 658-675. https://doi.org/10.1007/s10729-018-9450-x

Needleman, J., Buerhaus, P., Pankratz, V. S., Leibson, C. L., Stevens, S. R., & Harris, M. (2011). Nurse staffing and inpatient hospital mortality. New England Journal of Medicine, 364(11), 1037-1045. https://doi.org/10.1056/NEJMsa1001025

DDHA 9500 Week 1 instructions, in plain terms

Opening threads in a prospectus course commonly ask you to state a candidate topic and narrow it. Begin with the topic as you first wrote it, especially if it contains an "and" joining two ideas. Then take it apart, showing that each problem inside it has its own affected population, its own measure and its own body of published work. Choose one and give the grounds, usually whether the data exist and how large the problem appears. Most importantly, say what the choice costs you, whether a population left out, a question you care about set aside or a dependence on someone else's data. Cite a source for each problem so classmates can see the literatures differ. In replies, apply the same test to a classmate's topic, or name a cost they did not mention.

How the DDHA 9500 Week 1 example is put together

The first paragraph presents the wide topic and points to the word that joins two projects. The second describes emergency nurse staffing with its population, measure and literature, then ambulance offload delay with its own, citing Needleman and colleagues for staffing outcomes and Cooney and colleagues' position statement resource for offload. The third chooses offload delay, explaining that both organizations already record the needed time stamps and that waits at the busiest hospital appear long, and uses Li and colleagues' review to show it is a hospital administration problem. The fourth names the cost of the choice and invites classmates to share theirs. One reply splits a classmate's burnout and documentation topic by measure. The other adds the admission side as a cost of narrowing to discharge.

Reading the DDHA 9500 Week 1 rubric

In this thread, graders reward the act of narrowing more than the topic chosen. A post that keeps the wide topic, or narrows it without explanation, misses the purpose. Credit grows when the separation rests on concrete differences: who is affected, what would be measured and which literature applies. The grounds for choosing should be practical and honest, such as data availability and size of effect. Naming the cost of the choice is often what distinguishes strong posts, because it shows the writer understands scope as a trade. A source for each problem shows the literatures are genuinely distinct. Replies are valued when they apply the test to a classmate's topic or surface a cost the classmate missed, rather than praising the choice. Keep the post brief and on time, with citations in APA form.

Common DDHA 9500 Week 1 mistakes, and how to avoid them

The common mistake is defending a broad topic as "interconnected," which is true of nearly everything and makes a project impossible to finish. Look for the "and" in your topic and ask whether each half has its own measure. If it does, you have two projects. Choose the one whose data you can actually get. Admit what you lose; committees trust a student who sees the trade. Keep the post short enough that the choice stands out. In replies, use the same three questions on a classmate's topic. If you are struggling to narrow your own topic, we can prepare a version of this post built around your area of practice.

Get a DDHA 9500 Week 1 example written to your instructions

Paste the discussion prompt, the rubric and the topic the classroom has asked for, and an initial post with replies in this shape comes back to you. The first one is free and returns inside 24 to 48 hours. A candidate's own project material, including anything gathered at a site, is not written up here.

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DDHA 9500 Week 1 questions, answered

Where can I find a free DDHA 9500 Week 1 sample paper?

The topic-narrowing post with both replies and its references is free to read here.

Which topic does the DDHA 9500 Week 1 example narrow?

Staffing shortages and patient throughput in emergency care, split into nurse staffing and ambulance offload delay.

Why does the post choose ambulance offload delay?

Both organizations already record the time stamps needed, and waits at the busiest hospital appear long.

What does the choice cost the writer?

Setting aside the nurse staffing problem that motivated the program and depending on the ambulance service's data.

What test does the post apply to a topic?

Whether each part has its own affected population, its own measure and its own literature.