DDHA 9500 Week 10 Prospectus Draft Example

Course	DDHA 9500 DHA Project Prospectus
Week	Week 10
Paper type	Assembled prospectus draft with cut list
Length	About 1,010 words, 6 pages
Format	APA 7 student paper
School	Walden University
Program	Doctor of Healthcare Administration (DHA)
Updated	October 2026

Free sample paper for DDHA 9500 Week 10

Held at the Door While Beds Are Full: An Assembled DHA Prospectus Draft on Boarding and Ambulance Offload, With the Cut List That Shaped It

Student Name

Walden University

DDHA 9500: DHA Project Prospectus

Instructor Name

Month Day, Year

What this page is doingThe title presents the assembled draft and the record of what was removed, since in an assembly week the cutting is where the marks are.

Held at the Door While Beds Are Full: An Assembled DHA Prospectus Draft on Boarding and Ambulance Offload, With the Cut List That Shaped It

Problem

Ambulance crews arriving at the three emergency departments of Riverbend Health, a composite regional system, often remain with their patients well past the half hour within which emergency medical services guidance expects hospital staff to take over, and nothing in the system's reporting connects those waits to what is happening inside its hospitals. While a crew waits, its ambulance cannot answer the next call in the county, and the patient it brought is cared for in a hallway. Delays of this kind have been reported widely, varying sharply from one California agency to another (Feldmeier et al., 2024) and attributed in most published studies to crowding and blocked access within hospitals (Li et al., 2019). Riverbend reports emergency length of stay and boarding, but the time stamps needed to measure offload are split between its records and the county ambulance service's. This project concerns the hospital side of the problem; ambulance staffing and dispatch remain the county's question.

Significance

If the relationship between boarding and offload time can be described reliably, three groups stand to gain: county residents, whose ambulance coverage depends on crews being released; the roughly 41,000 patients a year who arrive at Riverbend by ambulance; and Riverbend itself, which carries the exposure of holding crews. Published work shows the problem is common and falls unevenly, with offload times in California differing by the makeup of hospitals' patient populations (Shteyler et al., 2025). No figure exists for this county, and producing one is part of what the project offers.

Purpose

This quantitative, retrospective study aims to examine how the number of admitted patients held in each emergency department during the hour of an ambulance's arrival relates to the time ambulance crews wait to hand over care, and to how often that wait passes 30 minutes, for adults brought by ambulance to the three community emergency departments of a single regional system over two years.

Approach in Outline

The design is observational and uses records produced in normal operations. Hospital records supply arrival and triage acceptance times and the hourly count of boarded patients; the county ambulance service's patient care records supply crew arrival and transfer-of-care times. Each adult arrival is one observation. Within each hospital, offload times will be compared across hours with lighter and heavier boarding, adjusting for time of day, weekday, month and whether a dedicated offload role was in place, since such roles may shorten handovers independently (Greaves et al., 2017). A sample of 100 arrivals will be checked by chart review to measure how closely the two data sources agree. Findings will appear both as typical waits and as the proportion of crews held past half an hour.

What the Reading Establishes

The literature supports three claims the project depends on. Offload delay is widespread and uneven from place to place. It arises mainly from conditions inside hospitals, with boarding and access block the most consistently cited, although the organization of the handover itself also matters. And it must be measured as a defined interval from arrival to transfer of care, because substitutes such as ambulance turnaround time include activities after the handover (Carter et al., 2014). The reading also shows what is missing: no hour-by-hour analysis of boarding and offload, and no published data for this state.

Limits

The design can show an association, not a cause; volume and other conditions rising with boarding may explain part of it. It will not measure community response times or patient outcomes. Its findings will describe three hospitals in one system, and the linkage between two data sources may introduce error, which the validation sample is designed to estimate. If the ambulance service's data cannot be obtained in time, the project will fall back on hospital time stamps alone and report the weaker measure as a limitation.

Timeline

The project will run across three terms. In the first, the prospectus will be approved, the health system's review and executive approvals obtained and the data-sharing contract with the county's ambulance provider negotiated. In the second, the extracts will be prepared and linked, the validation sample reviewed and the analysis completed. In the third, the findings will be written up and presented to the committee and to the operations leaders of both organizations. If the ambulance agreement is delayed, the hospital data will be analyzed first and the linked analysis added later, with the committee told in writing of any change to the schedule.

Cut List

Table 1

Material Removed During Assembly, With Reasons

What was cut	From which part	Reason \|
A paragraph describing the history of ambulance diversion in the county	Problem	Background for a later chapter, not needed to state the gap \|
The sentence "offload delay costs lives"	Significance	Claim not supported by sources the project relies on \|
A second statement of the 30-minute interval with its source	Approach	Repeated the problem section; kept once \|
"and to recommend interventions to reduce delays"	Purpose	Added an aim that nothing in the approach would deliver \|
A paragraph summarizing each article in turn	Reading	Replaced by claim-based summary; article-by-article order hid disagreements \|
A list of regression model options	Approach	Detail for the methods chapter; the outline names the approach only \|
A sentence naming the three hospitals	Problem	Template requires the setting by type, not by name \|

Each cut is recorded so that the committee can see what was considered and why it is absent.

Assembly Notes

The parts were rewritten during assembly rather than pasted from earlier weeks, so that terms carry the same meaning throughout: "boarding" always means admitted patients still in the emergency department, "offload time" always means arrival to transfer of care, and the unit is always the adult ambulance arrival. Cooney et al. (2011), in the resource document behind a national position statement, treat offload as the hospital's responsibility from the moment a patient arrives, which is the framing the problem and purpose now share.

References

Carter, A. J. E., Overton, J., Terashima, M., & Cone, D. C. (2014). Can emergency medical services use turnaround time as a proxy for measuring ambulance offload time? The Journal of Emergency Medicine, 47(1), 30-35. https://doi.org/10.1016/j.jemermed.2013.08.109

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

Feldmeier, M., Reyes, K. P., Chen, C., Sporer, K. A., Konik, Z., Garzón, H., & Hsia, R. Y. (2024). Patterns in California ambulance patient offload times by local emergency medical services agency. JAMA Network Open, 7(12), Article e2451022. https://doi.org/10.1001/jamanetworkopen.2024.51022

Greaves, T., Mitchell, M., Zhang, P., & Crilly, J. (2017). The impact of an emergency department ambulance offload nurse role: A retrospective comparative study. International Emergency Nursing, 32, 39-44. https://doi.org/10.1016/j.ienj.2016.12.005

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

Shteyler, V. M., Feldmeier, M., Bagay, R. J. G., Ballard, D., Colwell, C., & Hsia, R. Y. (2025). Racial and socioeconomic disparities in California ambulance patient offload times. JAMA Network Open, 8(5), Article e2510325. https://doi.org/10.1001/jamanetworkopen.2025.10325

What the DDHA 9500 Week 10 instructions ask for

Assembly weeks usually ask you to bring your separate prospectus parts into one document. Place the parts in the order your template sets, and bring each to roughly the length allowed. Rewrite as you assemble rather than pasting, so the document reads as one argument and key terms carry the same meaning everywhere. Then cut. Remove repetition across parts, claims without sources, background that belongs in a later chapter and detail that belongs in the methods. Keep a cut list that records each removal and its reason, because it shows your committee what you considered and why it is absent. Check that the purpose and limits still agree after the cuts. Expect the cut list to be where much of the week's credit lies.

How this DDHA 9500 Week 10 example is built

The draft opens with a problem section describing held crews, the community effect, attributed evidence and the data split, ending with a boundary. The significance section names three beneficiaries and admits the missing local figure. The purpose sentence follows in revised form. The approach summarizes design, data, unit, comparison, adjustments and validation. A reading section restates the three claims and two gaps. The limits section covers association, outcomes, generalization, linkage error and the fallback. A timeline sets out three terms. Table 1 lists seven cuts with reasons, and a closing note explains how terms were kept consistent during assembly. The order mirrors the template so a committee member can find each part where expected.

Reading the DDHA 9500 Week 10 rubric

Prospectus drafts are graded on coherence and the quality of cutting. Markers look for parts in the required order and at appropriate length. The draft should read as one argument, with consistent terms and no sections that feel written separately. A cut list with reasons is often a specific rubric element, showing editorial judgment. Removed material should include repetition, unsupported claims and misplaced detail. The purpose, approach and limits should agree. Accurate citations throughout are expected, and the draft should be concise enough that a committee can read it in one sitting. Graders also look for limits that match the approach, since a mismatch suggests the parts were written at different times.

Common DDHA 9500 Week 10 mistakes, and how to avoid them

The most common problem is pasting six weeks of drafts together, which produces repetition and shifting terms. Rewrite as you go. Be ruthless with background; it can wait for the full proposal. Remove any claim you cannot cite. Keep the methods detail out of the approach outline. Record every cut with a reason. Read the assembled draft straight through once, as a committee member would. If you need help assembling and cutting your own prospectus, we can work from your weekly drafts. Ask whether each paragraph would survive if you had to cut the draft by a fifth; the ones that would not are the first to go. Keep the cut list as you work rather than reconstructing it at the end.

Get a DDHA 9500 Week 10 example written to your instructions

Send the full prompt, the template the classroom uses and the parts already drafted, and an assembled prospectus with a cut list recording every removal comes back to you. First custom sample free, returned in 24 to 48 hours. Site documents and approval paperwork stay outside the sample, and only the assignment materials come in.

More DDHA 9500 papers and DHA samples

DDHA 9500 Week 10 questions, answered

Where can I find a free DDHA 9500 Week 10 sample paper?

The assembled offload prospectus with its cut list is free to read here.

What parts does the DDHA 9500 Week 10 draft include?

Problem, significance, purpose, approach outline, what the reading establishes, limits, timeline and a cut list.

What was cut and why?

Ambulance history, an unsupported claim about lives, a repeated threshold, a second aim, an article-by-article summary, model options and hospital names.

How were terms kept consistent?

Each part was rewritten during assembly so boarding, offload time and adult arrival meant the same thing everywhere.

What timeline does the draft set?

Approvals and the data agreement come first, the linked analysis follows and the write-up closes the third term.