HCM 491 Module 2 Problem Definition Short Paper Example

Reviewed by Delia Ravenscroft, MSN, RN

This HCM 491 Module 2 Problem Definition Short Paper sample turns a problem everyone notices into one defined precisely enough to solve. It is written for SNHU HCM 491 (HCM-491), where BS Health Sciences students size their capstone problem with data and trace its causes before proposing anything. The composite 180-bed hospital's emergency department saw about 1,450 visits for nontraumatic dental problems last year. The paper explains the data sources, then describes who comes, when, how often they return, what the ED does for them and what it costs. It compares the figures with national research, places them in the state's limited adult Medicaid dental coverage, traces causes with a fishbone diagram and five whys and closes with a formal problem statement and scope.

CourseHCM 491 Health Sciences Capstone
ModuleModule 2
Paper typeundergraduate capstone paper defining a problem with local data and root causes
LengthAbout 1,180 words, 7 pages
FormatAPA 7 student paper
SchoolSouthern New Hampshire University
ProgramBS Health Sciences
UpdatedSeptember 2026

Free sample paper for HCM 491 Module 2

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Same Tooth, Next Month: Defining the Emergency Department Dental Visit Problem at Marlow Regional Hospital

[Student Name]

Southern New Hampshire University

HCM 491: Health Sciences Capstone

Module Two Short Paper

[Instructor Name]

[Date]

The organization, setting and figures below are a composite written as a model document. No real employer, client, colleague or patient is described.

What this page is doingThe title captures the repeat-visit pattern at the heart of the problem.
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Same Tooth, Next Month: Defining the Emergency Department Dental Visit Problem at Marlow Regional Hospital

Everyone in Marlow Regional Hospital's emergency department knows the toothache patient. Few people know how many there are, who they are or why they keep coming back. A capstone proposal built on impressions risks solving the wrong problem. This paper uses one year of hospital data to size the problem, compares it with national research, examines the policy setting, traces causes and ends with a formal problem statement that later modules will address.

What this page is doingThe introduction explains why the problem must be defined before solutions are proposed.
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Data Sources

The ED director approved a de-identified extract of all visits in fiscal year 2025 with a primary diagnosis in the ICD-10 range for diseases of the oral cavity, K00 through K14, excluding injuries. The extract includes age, payer, arrival time, length of stay, prescriptions, disposition and any return visit within twelve months. The finance office supplied average direct cost per visit by diagnosis group. Free-text comments from 60 patient experience surveys completed by dental visitors add patients' own explanations.

What this page is doingData sources and their approval are described.
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How Many and Who

The ED recorded 1,452 dental visits, 3.1% of its 47,000 visits. Seven in ten patients were aged 18 to 44. Payer mix differed sharply from the ED overall: 29% were uninsured and 35% had Medicaid, compared with 11% and 27% for all ED visits. Only 24% had commercial insurance. Table 1 summarizes the profile.

Table 1. Profile of ED Dental Visits, Fiscal Year 2025

MeasureDental visitsAll ED visits
Visits1,452 (3.1%)47,000
Aged 18-4471%39%
Uninsured29%11%
Medicaid35%27%
Commercial24%44%
Arrived 5 PM-7 AM or weekend54%41%

Note. Hospital data extract; percentages rounded.

What this page is doingThe patient profile is summarized in Table 1.
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When They Come

More than half of dental visits began between 5 PM and 7 AM or on weekends, when no dental office in the county is open. Monday mornings were also busy, suggesting patients waited through the weekend and gave up on getting a same-day dental appointment. Arrival patterns matter because any solution that depends only on daytime referrals will miss most of the patients.

What this page is doingArrival timing is analyzed for its implications.
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Repeat Visits

About 36% of dental patients returned to the ED for a dental problem within twelve months. A small group drove much of the volume: 112 patients had three or more dental visits and accounted for 410 visits, more than a quarter of the total. Many of these patients carried the same diagnosis code each time, indicating the same untreated problem. This concentration suggests that a targeted approach for frequent visitors could reduce volume faster than a general campaign.

What this page is doingRepeat use is quantified and its concentration noted.
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What Happens in the ED

The median length of stay for a dental visit was 2.4 hours. Antibiotics were prescribed at 58% of visits and opioids at 31%, down from 49% before a 2023 prescribing guideline. Only 6% received a local anesthetic nerve block, which can relieve pain for hours without an opioid. Discharge instructions were a generic sheet advising follow-up with a dentist, with no clinic name or phone number. Twenty-nine visits ended in admission for facial infection, at an average direct cost of about $9,800 each.

What this page is doingED treatment patterns and outcomes are described.
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What It Costs

At an average direct cost of $390 per treat-and-release visit, dental visits cost the hospital about $555,000 in fiscal 2025, plus roughly $284,000 for the 29 admissions. Payments covered about 38% of those costs. Beyond money, each dental visit occupies a treatment space for more than two hours in an ED where the median wait to see a clinician reached 47 minutes last winter.

What this page is doingDirect costs and capacity effects are estimated.
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Comparing With National Data

Marlow's figures sit close to national patterns. Sun et al. (2015) found in Oregon that dental problems made up about 2.5% of ED visits, cost hospitals about $402 per visit and were strongly associated with lacking insurance or having Medicaid, and that more than half of visits ended with opioid and antibiotic prescriptions. Marlow's opioid rate is lower, reflecting its guideline, but its antibiotic rate is similar. Lee et al. (2012) showed that the heaviest growth in ED dental use nationally came among younger working-age adults and people without coverage, the same groups that dominate Marlow's data.

What this page is doingLocal data are compared with national studies.
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The Policy Setting

The state's Medicaid program covers adult dental care only for emergency extractions, not fillings, root canals or routine exams. Singhal et al. (2015) studied California after it eliminated most adult Medicaid dental coverage and found that ED visits for dental conditions and their costs rose afterward. Marlow's high Medicaid share suggests a similar dynamic: patients with coverage for emergencies but not prevention wait until pain forces them to the only door that is always open.

What this page is doingMedicaid policy is identified as a contributing cause.
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Root Cause Analysis

A fishbone diagram, built with two ED nurses, a social worker and the dental clinic's manager, grouped causes into five categories. Table 2 summarizes them. The causes the hospital can influence most directly are in the process category: no referral link, generic instructions and infrequent nerve blocks.

Table 2. Fishbone Summary of Causes

CategoryCauses identified
PatientsCost fears; no regular dentist; pain peaks at night
ProvidersFew ED clinicians trained in dental blocks
ProcessesNo referral pathway; generic discharge sheet; no follow-up call
PoliciesMedicaid adult coverage limited to emergencies
PlacesOne sliding-fee dental clinic; two- to three-week wait for new patients

Note. Developed by the author with ED and dental clinic staff.

What this page is doingRoot causes are summarized in Table 2.
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Five Whys for Repeat Visits

Why do patients return? Because the tooth is still diseased. Why is it still diseased? Because they did not see a dentist after the ED visit. Why not? Because the only affordable clinic had no opening for weeks and they did not know how to get one. Why did they not know? Because the ED gives no clinic name, number or appointment. Why not? Because no agreement exists between the hospital and the clinic. The chain ends at a gap the hospital can close.

What this page is doingA five-whys analysis traces repeat visits to a missing referral link.
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What Patients Say

Survey comments echo the analysis. Several patients wrote that they called dental offices and could not get in, that they did not know a sliding-fee clinic existed or that the ED was the only place open when the pain became unbearable. One wrote, "They told me to see a dentist like I hadn't tried." These comments point to the missing link between the ED and affordable dental care as much as to cost itself.

What this page is doingPatient comments corroborate the causes.
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Problem Statement

In fiscal 2025, Marlow Regional Hospital's emergency department handled 1,452 visits for nontraumatic dental problems, 36% of which led to a repeat dental visit within twelve months, at an unreimbursed direct cost of more than $500,000. Patients, mostly uninsured or on Medicaid, leave without a dental appointment because no referral pathway connects the ED with the community's affordable dental clinic, and ED treatment relies on antibiotics and prescriptions rather than local pain control.

What this page is doingA formal problem statement is written.
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Scope

The capstone will focus on the part of the problem the hospital can change: the referral link, discharge process and ED pain management. It will not attempt to change Medicaid policy, though it will note where advocacy could help. Children are excluded, since pediatric dental coverage differs and the numbers are small.

What this page is doingThe scope is set.
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Conclusion

Local data show a concentrated, costly and largely preventable problem that matches national patterns. The root causes point to a missing referral pathway and gaps in ED pain management, both within the hospital's reach. Module Three will review what research says about closing that gap.

What this page is doingThe conclusion summarizes and points to the evidence review.
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References

Lee, H. H., Lewis, C. W., Saltzman, B., & Starks, H. (2012). Visiting the emergency department for dental problems: Trends in utilization, 2001 to 2008. American Journal of Public Health, 102(11), e77-e83. https://doi.org/10.2105/AJPH.2012.300965

Singhal, A., Caplan, D. J., Jones, M. P., Momany, E. T., Kuthy, R. A., Buresh, C. T., Isman, R., & Damiano, P. C. (2015). Eliminating Medicaid adult dental coverage in California led to increased dental emergency visits and associated costs. Health Affairs, 34(5), 749-756. https://doi.org/10.1377/hlthaff.2014.1358

Sun, B. C., Chi, D. L., Schwarz, E., Milgrom, P., Yagapen, A., Malveau, S., Chen, Z., Chan, B., Danner, S., Owen, E., Morton, V., & Lowe, R. A. (2015). Emergency department visits for nontraumatic dental problems: A mixed-methods study. American Journal of Public Health, 105(5), 947-955. https://doi.org/10.2105/AJPH.2014.302398

What the HCM 491 Module 2 instructions ask for

The HCM 491 problem definition assignment usually asks you to describe your capstone problem with data, analyze its causes and write a clear problem statement. Instructors tend to expect something between four and six pages, backed by three or more peer-reviewed articles in APA 7. Explain where your data came from and who approved access, describe who is affected and how often, estimate costs, compare local figures with published research and trace causes with a recognized method, for instance a cause-and-effect diagram built with staff or a chain of why questions. Finish with a problem statement and a scope that sets limits on the capstone. HCM 491 graders notice clean headings in HCM 491 papers. HCM 491 names and dates need checking before HCM 491 submission. HCM 491 prompts vary by term, so recheck HCM 491 directions.

How this HCM 491 Module 2 problem definition short paper example is built

Using a de-identified hospital extract, the paper sizes 1,452 ED dental visits by age, payer, arrival time, repeat use, treatment and cost, with a table comparing them to all ED visits. Sun and colleagues' Oregon study and Lee and colleagues' national trends show Marlow is typical, and Singhal and colleagues' California findings frame the Medicaid context. A fishbone built with staff and a five-whys chain trace repeat visits to a missing referral pathway. Patient comments corroborate the causes before a formal problem statement and scope close the paper. HCM 491 students can reuse this structure for HCM 491 work. HCM 491 claims here trace to cited HCM 491 sources. HCM 491 readers can adapt each section to HCM 491 data.

Where the HCM 491 Module 2 rubric puts the points

Problem definition papers in HCM 491 are commonly assessed on the quality of local data, analysis of who is affected, use of research for comparison, rigor of root cause analysis, clarity of the problem statement and APA 7 mechanics. Strong papers quantify the problem in several dimensions, involve staff in cause analysis and separate causes the organization can change from those it cannot. Graders reward problem statements that name the gap, the population, the size and the consequence in a few sentences. HCM 491 marks favor careful formatting across HCM 491 sections. HCM 491 citations keep every HCM 491 argument credible. HCM 491 instructors weigh evidence heavily in HCM 491 grading.

HCM 491 Module 2 help: the mistakes that cost points

Problem papers lose points when the problem is described only in general terms, when data sources are unclear, when causes are assumed rather than analyzed or when the problem statement already contains the solution. Another frequent gap is failing to set scope. Quantify locally, compare nationally, use a structured cause tool, write a crisp statement and state what the capstone will not cover. If your prompt requires a specific root cause tool or data type, send it with your HCM 491 notes so the paper uses it. HCM 491 drafts start well from a HCM 491 outline. HCM 491 feedback already received guides HCM 491 revisions. HCM 491 rubrics posted in Brightspace clarify HCM 491 expectations.

Get HCM 491 Module 2 written to your instructions

Send the HCM 491 Module 2 prompt and whatever data you have on your problem. The paper will size the problem locally, compare it with research, trace causes with a structured tool and write a crisp problem statement and scope, within 24 to 48 hours, free the first time. The paper above is an original model document written by our desk, not a submitted student paper and not an official Southern New Hampshire University document.

More HCM 491 papers and related BS Health Sciences samples

HCM 491 Module 2 questions, answered

Where can I find a free HCM 491 Module 2 Problem Definition Short Paper sample?

HCM 491 Module 2 is reproduced in full here: a hospital's ED dental visits sized with local data, traced to causes and stated as a problem.

What makes a good capstone problem statement?

It names the population, the size of the problem, the gap causing it and the consequence, without proposing the solution.

Which root cause tools work for a capstone?

A fishbone diagram groups causes by category, and five whys traces one symptom back to an underlying gap.

Why do patients use the ED for dental pain?

Common reasons include cost, no regular dentist, limited Medicaid coverage and pain that peaks when dental offices are closed.

Should a capstone include cost data?

Yes, where available; costs help show why an organization should invest in a solution.