| Course | HLTH 4203 Introduction to Healthcare Administration |
|---|---|
| Module | Module 3 |
| Paper type | Health disparity analysis |
| Length | 1,160 words, about 4 pages plus title and reference pages |
| Format | APA 7 student paper |
| School | American College of Education |
| Program | B.S. in Healthcare Administration |
| Updated | September 2026 |
Free sample paper for HLTH 4203 Module 3
Twenty-One Minutes East of the River: A Response Time Disparity in One County's Emergency Medical Services, Its Causes, and What the Ambulance Service Can Change
Student Name
American College of Education
HLTH4203: Introduction to Healthcare Administration
Module 3 Assignment
Instructor Name
October 19, 2026
The Disparity
Health disparities are usually described in outcomes, such as death rates or disease prevalence, but they also appear in access, including how long it takes help to arrive. In our composite county, the median time from 911 call to ambulance arrival last year was 8 minutes 40 seconds in the city and its suburbs, where two-thirds of residents live, and 21 minutes in the rural townships east of the river. Nearly a fifth of eastern calls waited more than 30 minutes, and on those calls the first help to arrive was the ambulance itself, since no volunteer responder was available. The eastern townships are older than the county as a whole, with a larger share of residents over 65, a lower median household income and more homes without broadband or reliable cell service.
The pattern is national. In a study of emergency responses across the United States, Mell et al. (2017) reported that the first EMS unit took about twice as long to reach rural patients as it did to reach patients in urban and suburban areas. The study drew on responses across the country, so the gap is not a quirk of one region or one agency. Our county fits that picture closely. A rural resident does not choose to have a heart attack farther from a station, yet the system quietly assigns them a longer wait.
Why Response Time Matters, and Where It Does Not
It would be easy to overstate the harm. For most emergency calls, a few extra minutes do not change survival. In a study of 9,559 patients in one urban system, Pons et al. (2005) found that arriving within eight minutes was not associated with better survival to hospital discharge once illness severity was controlled for, although arrival within four minutes was associated with survival for patients at intermediate or high risk of death. For cardiac arrest, severe bleeding, stroke and major trauma, however, minutes matter a great deal, and those are exactly the calls where a rural resident's longer wait carries the greatest risk.
The disparity therefore has two faces. For the most time-sensitive emergencies, it is a difference in the chance of survival. For all other calls, it is a difference in fear, pain and trust: a family waiting twenty-five minutes for help with a fallen grandparent experiences the health system very differently from a family in town.
Causes
Four causes explain most of the gap. Geography is the first: the eastern townships cover about 60% of the county's area but produce about 15% of its calls, so ambulances based where calls are most frequent are far from the east. Deployment is the second: our service posts units using a demand map that places them where calls cluster, which improves the county average but lengthens rural waits. Staffing is the third: the volunteer fire companies that once provided first response in two eastern townships have lost members, and one no longer answers medical calls. Communication is the fourth: poor cell coverage delays some calls and makes it harder for crews to find addresses without clear signs.
These causes show that the disparity is partly a result of choices. The service and the county set the response time standard as a countywide average, and an average can be met while one area waits much longer. An average-based standard cannot guarantee the equitable, people-centered care that the federal long-range plan for EMS calls for (National Highway Traffic Safety Administration, 2019).
What the Ambulance Service Can Change
Some causes lie beyond the service's control, but three changes are within reach. First, the service should propose to the county that the contract's response standard be measured separately for urban and rural zones, with a rural target of 18 minutes for 90% of emergency calls, so that the east end is no longer hidden in the average. Second, the service should station one ambulance at the eastern township fire hall twelve hours a day during the busiest daytime hours, staffed by one paramedic and one emergency medical technician, and accept a small increase in city response times in exchange. Third, the service should partner with the two remaining volunteer fire companies to train and equip community first responders who can reach patients, start CPR and use a defibrillator before the ambulance arrives, with the service providing training, radios and medical oversight.
The service can also help with communication by working with the county to install reflective address signs at rural homes and by sharing the coverage map with the county's broadband planning office.
Evidence for Community Responders
The third change, community first responders, deserves a closer look because it is the least expensive and the most uncertain. The idea is that trained residents who live near a patient can begin care in the minutes before an ambulance arrives, which matters most for cardiac arrest, where every minute without CPR lowers the chance of survival. The strongest evidence comes from Stockholm, where a randomized trial tested a mobile-phone system that located trained lay volunteers within 500 meters of a reported cardiac arrest and dispatched them. Bystander CPR before the arrival of emergency services was started in 62% of cases when volunteers were dispatched, compared with 48% when they were not (Ringh et al., 2015).
The trial took place in a dense city, where a volunteer is likely to be close by, and our eastern townships are the opposite. A rural program will reach fewer patients, and its benefit will depend on recruiting enough residents spread across the townships. For that reason, the service will start with the volunteer fire company's members, who already respond to emergencies, and will add residents in the most distant areas only after the first year shows whether responders are reaching patients. The program's costs, training, radios, defibrillators and medical oversight, are modest, perhaps $40,000 in the first year for twenty responders, which makes it a reasonable test even if the benefit in a rural area turns out smaller than in the trial.
Measuring the Change
The service will report response times by zone every month to the county and publish them on its website. The main measure is the 90th percentile response time in the eastern townships, with a target of 18 minutes within a year; the median and the number of calls over 30 minutes will also be reported. To make sure the change does not create a new disparity, the service will track city response times against their current standard. It will also count cardiac arrests in the east end in which CPR was started before the ambulance arrived, since community responders should raise that figure. If rural times do not improve, the service will look again at station placement and at the community responder program before asking the county for another funded unit.
References
Mell, H. K., Mumma, S. N., Hiestand, B., Carr, B. G., Holland, T., & Stopyra, J. (2017). Emergency medical services response times in rural, suburban, and urban areas. JAMA Surgery, 152(10), 983-984. https://doi.org/10.1001/jamasurg.2017.2230
National Highway Traffic Safety Administration. (2019). EMS agenda 2050: A people-centered vision for the future of emergency medical services (Report No. DOT HS 812 664). U.S. Department of Transportation.
Pons, P. T., Haukoos, J. S., Bludworth, W., Cribley, T., Pons, K. A., & Markovchick, V. J. (2005). Paramedic response time: Does it affect patient survival? Academic Emergency Medicine, 12(7), 594-600. https://doi.org/10.1197/j.aem.2005.02.013
Ringh, M., Rosenqvist, M., Hollenberg, J., Jonsson, M., Fredman, D., Nordberg, P., Jarnbert-Pettersson, H., Hasselqvist-Ax, I., Riva, G., & Svensson, L. (2015). Mobile-phone dispatch of laypersons for CPR in out-of-hospital cardiac arrest. New England Journal of Medicine, 372(24), 2316-2325. https://doi.org/10.1056/NEJMoa1406038
HLTH 4203 Module 3 instructions, in plain terms
HLTH 4203 Module 3 usually asks you to choose a health disparity, describe it with current data, explain what causes it and propose how a health care organization could reduce it. The disparity can involve outcomes such as mortality or chronic disease, or access and quality, such as waiting times or insurance coverage, and prompts often mention the course topics of globalization, policy and resource allocation as possible lenses. Expect to name the affected population and a comparison group, cite data sources and years, and keep the proposal within one organization's reach. A typical submission is three to five pages long. Look in the Canvas prompt for whether the disparity must be local or can be national.
How this HLTH 4203 Module 3 example is built
The example defines the disparity with local numbers and a comparison group before it says anything about causes. It then does something many papers skip: it uses research to show where response time changes survival and where it mostly changes experience, which keeps the argument honest. The causes section identifies four drivers, including a deployment policy and an average-based contract standard that hide the rural gap. The response section proposes three changes the ambulance service can actually make, with the trade-off for city response times stated openly, and adds a smaller step on address signs and broadband. The measurement section reports the rural gap directly, watches city times and adds an outcome tied to community responders.
HLTH 4203 Module 3 rubric: what full marks look like
Graders on this assignment usually give the most weight to how well the disparity is described and explained. Top ratings need data for the affected group and a comparison group, with sources and years, rather than a general statement that rural people have less access. The causes criterion rewards explanations at more than one level, individual, organizational and structural, as the example shows. A response criterion looks for actions within the organization's authority, matched to causes, with measures. Many rubrics also reward sensitivity: describing a population with respect and without blaming it. Source quality counts, as do organization and APA 7 accuracy in the remaining criteria.
Common HLTH 4203 Module 3 mistakes, and how to avoid them
Disparity papers lose points most often when the data are old, national when the paper is local, or missing a comparison group. Another common problem is explaining the gap only by the population's behavior, which ignores the choices made by organizations and policy. Proposals lose points when they belong to someone else, such as calling on Congress, rather than to the organization the paper examines. Avoid exaggerating harm without evidence; graders reward careful claims. And measure the disparity itself, not only an overall average. If you would like a Module 3 paper built on a disparity in your own community or workplace, the desk can draft a custom sample to your rubric.
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 American College of Education 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.
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HLTH 4203 Module 3 questions, answered
What does HLTH4203 Module 3 usually ask for?
HLTH4203 Module 3 usually asks you to analyze a health disparity, describe it with data, explain its causes and propose what a health care organization could do about it. Your classroom's instructions decide the disparity and population.
Can access to care count as a health disparity?
Yes. Disparities appear in access and experience as well as outcomes. Longer waits for emergency response in rural areas are a documented access disparity.
Does a faster ambulance always save lives?
Not for most calls. Research has found little survival difference at the eight-minute mark for most patients, but minutes matter greatly for cardiac arrest, stroke, severe bleeding and major trauma.
Where can I find a free HLTH 4203 Module 3 sample paper?
Here. This page shows the complete Module 3 health disparity analysis on rural ambulance response times, including its title page, five sections, margin notes and three references, with nothing held back.
How should a disparity paper measure improvement?
Report the disparity for the affected group directly, not only an overall average, and track the comparison group too so that the change does not simply move the problem elsewhere.