| Course | MMHA 6475 Program Planning, Implementation, and Evaluation |
|---|---|
| Week | Week 2 |
| Paper type | Program needs case |
| Length | About 1,030 words, 6 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | Master of Healthcare Administration (MHA) |
| Updated | October 2026 |
Free sample paper for MMHA 6475 Week 2
Waiting for a Bed: A Needs Case for Hospital-Level Care at Home at Tamarack Health's Flagship Campus
Student Name
Walden University
MMHA 6475: Program Planning, Implementation, and Evaluation
Instructor Name
Month Day, Year
Waiting for a Bed: A Needs Case for Hospital-Level Care at Home at Tamarack Health's Flagship Campus
The Gap
Medical patients admitted through the emergency department at Tamarack Health's flagship campus wait for inpatient beds longer than the system's own standard, and the waits are worst from December through March. Tamarack's standard is that an admitted patient leaves the emergency department for an inpatient bed within four hours of the admission decision. In the busiest months, many patients wait far longer, occupying emergency department spaces needed for new arrivals and receiving inpatient care in a setting not designed for it. This needs case documents the gap with records the system already keeps, describes an external model that could reduce it, and compares that model with two alternatives. Tamarack is an invented system, and every figure below is a labeled slot for the organization's own data or an illustrative value.
What the System's Own Records Show
Three kinds of records describe the gap. Table 1 lists each measure, its source and the form the figure takes in this case.
Table 1
Measures of the Bed Gap and Their Sources
| Measure | Source | Figure in this case |
|---|---|---|
| Median boarding hours for admitted medical patients, by month | Emergency department tracking system: time from admission order to departure | Slot: [monthly medians, last 24 months] |
| Share of admitted medical patients boarding more than 4 hours | Same source | Slot: [monthly share]; illustrative winter value 45% |
| Midnight occupancy of adult medical units | Bed management system census | Slot: [monthly average]; illustrative winter value 97% |
| Length of stay for heart failure, pneumonia, cellulitis, urinary tract infection and COPD exacerbation | Inpatient discharge abstract | Slot: [median and mean by condition] |
| Admissions for those five conditions through the emergency department | Same source | Slot: [annual count]; illustrative value 2,600 |
Reading the Records
Boarding hours are the most direct measure of the gap, because they record the time an admitted patient spends waiting for a bed. The monthly pattern matters as much as the annual average: a system whose boarding rises sharply each winter has a seasonal capacity problem, which a flexible solution may address better than permanent construction. National data show that emergency department boarding climbs steeply as hospital occupancy approaches its limit (Janke et al., 2022), and Tamarack's occupancy figures should be read alongside its boarding hours for that reason. When medical units run near full at midnight, a small number of additional discharges or avoided admissions can shorten waits for everyone behind them.
The five conditions were chosen because they account for a large share of medical admissions and because each has been treated in hospital-at-home programs elsewhere. Their length of stay shows how many bed-days a home program could release if some patients with these conditions were treated at home instead. Each record has limits. Boarding time depends on how the admission order time is recorded, which varies by physician. Occupancy at midnight misses daytime surges. Length of stay reflects discharge delays as well as clinical need. The case uses all three together because no single one describes the gap on its own.
External Evidence: Hospital at Home
The hospital-at-home model was developed at Johns Hopkins under the leadership of Bruce Leff and colleagues. Its core proposition is that some acutely ill adults who already qualify for admission can be treated to inpatient standards without leaving home, with physician oversight, nursing visits, monitoring and the ability to deliver medications, oxygen and diagnostic tests at home. In the original multisite study, older patients treated at home had care that met hospital quality standards, with shorter episodes and fewer complications such as delirium than comparable inpatients (Leff et al., 2005). A later randomized trial at two academic hospitals found that home hospital care cost less and was associated with fewer readmissions within 30 days, with patients spending more time physically active (Levine et al., 2020).
For Tamarack, the model's appeal is that it adds acute capacity without adding beds. Each patient treated at home is one fewer patient waiting for a medical bed. The evidence does not show that every system can reproduce these results, and both studies selected patients carefully; the planning that follows has to define who would be eligible at Tamarack and what would count as success.
Alternatives Considered
Adding inpatient beds. Tamarack could open a new medical unit at the flagship campus. This addresses the gap directly and year-round, but it requires capital for construction or conversion, takes years to complete, and would add permanent staffing costs to meet what is partly a seasonal peak. In a tight nursing labor market, a new unit may also be hard to staff.
An observation unit. Tamarack could convert space near the emergency department into a short-stay observation unit for patients expected to need less than two days of care. This would take some short stays out of medical beds and is quicker to open, but it helps mainly patients with brief stays, not the heart failure and pneumonia patients whose longer stays drive occupancy. Observation status also carries different billing and patient cost-sharing rules, which some patients find confusing.
Hospital at home. The home model adds capacity that can scale with demand, uses existing staff categories and serves the conditions that drive occupancy. Its risks are operational: it depends on logistics, staffing for home visits and payer agreements, and it serves only patients who meet eligibility criteria and live within reach.
The case does not claim the home model is the only answer. Tamarack may need an observation unit as well. It argues that the home model fits the gap's seasonal, condition-specific pattern and deserves a planning effort to test that fit.
What Planning Must Settle Next
Three questions follow from this case and shape the objectives in Week 3. Which patients, by condition, severity and home circumstances, would be eligible? How many eligible patients could Tamarack expect each winter, given referral patterns and patient acceptance? And what result would show that the program is helping: fewer boarding hours, freed bed-days, or outcomes for the patients treated at home? A program planned around boarding hours alone could succeed for patients and still fail to move the system's numbers, so the objectives will need to address both.
References
Janke, A. T., Melnick, E. R., & Venkatesh, A. K. (2022). Hospital occupancy and emergency department boarding during the COVID-19 pandemic. JAMA Network Open, 5(9), Article e2233964. https://doi.org/10.1001/jamanetworkopen.2022.33964
Leff, B., Burton, L., Mader, S. L., Naughton, B., Burl, J., Inouye, S. K., Greenough, W. B., III, Guido, S., Langston, C., Frick, K. D., Steinwachs, D., & Burton, J. R. (2005). Hospital at home: Feasibility and outcomes of a program to provide hospital-level care at home for acutely ill older patients. Annals of Internal Medicine, 143(11), 798-808. https://doi.org/10.7326/0003-4819-143-11-200512060-00008
Levine, D. M., Ouchi, K., Blanchfield, B., Saenz, A., Burke, K., Paz, M., Diamond, K., Pu, C. T., & Schnipper, J. L. (2020). Hospital-level care at home for acutely ill adults: A randomized controlled trial. Annals of Internal Medicine, 172(2), 77-85. https://doi.org/10.7326/M19-0600
What the MMHA 6475 Week 2 instructions ask for
Needs case assignments ask you to show that a problem exists, how large it is and why a particular kind of response fits it. State the gap in one paragraph before presenting data. Use records the organization already has, name each source, and be honest about each record's limits. If you cannot use real numbers, present labeled slots or clearly illustrative values rather than invented facts. Bring in external evidence for the model you are considering, describing its central idea accurately without promising the same results locally. Compare at least two alternatives on their merits. Close with the questions the case leaves open, since they set up the objectives and the rest of the plan.
How this MMHA 6475 Week 2 example is built
The gap paragraph describes winter boarding at the flagship campus and the system's four-hour standard. Table 1 lists five measures with their sources and slots. A reading section explains what each record shows and where it misleads, citing Janke and colleagues on occupancy and boarding. The external evidence section describes the hospital-at-home model and the results reported by Leff and colleagues and Levine and colleagues, with a caution about patient selection. An alternatives section weighs adding beds, an observation unit and home care, concluding that home care fits the gap's seasonal, condition-specific pattern. A closing section asks who would be eligible, how many patients to expect and what result would count.
Reading the MMHA 6475 Week 2 rubric
Needs cases are assessed for evidence and honesty. Defining the gap precisely, with a standard against which it is measured, earns the first share. Use of the organization's own data sources, named and with limitations acknowledged, earns the largest share. Labeled slots or illustrative values are acceptable; invented figures presented as real are penalized. External evidence must be accurately described and appropriately limited. A fair comparison with alternatives shows judgment. Questions that lead into the next stage of planning are credited. Organization, sources and APA format complete the grade. Cases that weigh alternatives fairly before settling on a model are graded as more credible than cases that argue for one answer from the start.
MMHA 6475 Week 2 help from the desk
Many needs cases jump to the solution in the first paragraph. Describe the problem first, in terms of a standard the organization already uses, then show the data. If you lack access to real figures, say so and use slots; instructors reward that honesty. For every record you cite, note the blind spot that comes with it. When you cite an external model, describe what it is and what studies found, and add a caution about whether it would transfer. Give real alternatives a fair hearing. Finish with the questions your plan must answer next. If your program addresses a different gap, such as missed follow-up visits or medication errors, we can build the needs case around your organization's records.
Get a MMHA 6475 Week 2 example written to your instructions
Share the Week 2 prompt and rubric, plus the program idea your section approved, and the gap is argued from the kinds of records your organization would hold. Operational data from a real employer never appears in the sample; each figure arrives as a slot marked with its source. Delivery is 24-48h, and a first sample is free.
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MMHA 6475 Week 2 questions, answered
Where can I find a free MMHA 6475 Week 2 sample paper?
Read the full bed capacity needs case on this page without charge.
What gap does the MMHA 6475 Week 2 case document?
Admitted medical patients waiting longer than the system's four-hour standard for a bed, especially in winter.
Which records does the case use?
Boarding hours by month, midnight occupancy on medical units and length of stay for five common conditions.
Why are the figures shown as slots?
The system is invented, so each figure is a labeled place for real data or an illustrative value, never a fact.
Which alternatives does the case consider?
Adding inpatient beds, opening an observation unit and treating selected patients at home.