| Course | MPH 515 Epidemiology and Biostatistics for Public Health Application I |
|---|---|
| Week | 1 |
| Paper type | Discussion post with two replies |
| Length | About 600 words |
| Format | Discussion post with APA 7 citations |
| School | Chamberlain University |
| Program | Master of Public Health (MPH) |
| Updated | October 2026 |
Free sample paper for MPH 515 Week 1
Week 1 Discussion: Initial Post
Saturday Nights in the Emergency Department: Turning a Run of Overdose Patients Into a Question About Bellamy County's Residents
Initial Post
The observation. I work night shifts as an emergency nurse in Bellamy County, a composite Midwestern county of about 415,000 people used throughout this course. Over two months last spring, it felt as though every Saturday brought three or four patients revived from an opioid overdose, several of them people I had seen before. My colleagues and I talked about it as "a bad stretch." That is a clinical impression, built from the patients in front of me, and it cannot tell me whether overdoses were becoming more common in the county or whether I happened to work the busy nights.
The population question. The epidemiologic version of my observation is: among residents of Bellamy County, how many new nonfatal opioid overdoses treated in emergency departments occur per year, and is that number changing? That question needs a numerator, a denominator and a period. The numerator is residents with a qualifying emergency visit; the denominator is the county's residents, counted as person-time; and the period has to be fixed in advance, such as a calendar year.
A Measure Named, With Its Denominator
The measure I would use is an incidence rate: new cases divided by person-years at risk, often reported per 100,000 person-years. If I counted 600 residents with a first overdose visit in a year and the county had 415,000 residents, the rate would be about 145 per 100,000 person-years. A count of visits would not work as the numerator, because one person can come in several times in a year; counting visits mixes how many people are affected with how often they return. Repeat visits are worth reporting, but as a separate measure.
What the Measure Misses
An emergency department rate leaves out people who overdosed and were never brought in, including those revived by a friend with naloxone and those who died before reaching care. It also misses residents treated in hospitals across the county line unless records are shared. And it depends on how visits are coded, so a change in the coding rules could look like a change in overdoses. The rate also says nothing about what happens after discharge. A Massachusetts study of more than 11,000 patients treated in emergency departments for nonfatal opioid overdose found that 5.5% died within one year and 1.1% within one month (Weiner et al., 2020). That is a reminder that the visit is not the end of the story, and that a rate of visits is only one part of the burden.
A Question for the Group
When you turn something you have seen at work into a rate, what do you use as the denominator? I struggled with whether to use all county residents or only adults, since almost no children appear in our overdose visits.
Reply to Keisha
Keisha, your observation about more falls among patients from one assisted living facility is a strong start. To make it a population question, you would need the facility's resident count and a period. Do you know how many residents it has? A rate of falls per 1,000 resident-days would let you compare it with other facilities fairly.
Reply to Devon
Devon, you report that your clinic saw 40 new diabetes diagnoses last year. Forty out of how many patients, and how many of them were tested? If testing increased, the count could rise even if the true occurrence did not. Naming the denominator, and how cases were found, would make the figure interpretable.
References
Weiner, S. G., Baker, O., Bernson, D., & Schuur, J. D. (2020). One-year mortality of patients after emergency department treatment for nonfatal opioid overdose. Annals of Emergency Medicine, 75(1), 13-17. https://doi.org/10.1016/j.annemergmed.2019.04.020
The Chamberlain MPH 515 Week 1 instructions
The first week asks you to take something you have observed in practice and turn it into an epidemiologic question about a population. Describe the observation briefly. Restate it as a question about how often something occurs in a defined population over a defined period. Name the measure you would use, such as an incidence rate, prevalence or a proportion, and say what its numerator and denominator would be. Explain what the measure would miss, since every data source leaves some cases out. End with a question that helps classmates think about their own denominators. In replies, help classmates attach a denominator, a period or a case-finding method to the figures in their posts.
Inside the MPH 515 Week 1 example
The post begins with an emergency nurse's sense that Saturday nights brought several revived overdose patients, some of them repeat visitors, and admits that the impression cannot show whether overdoses were rising. It rewrites the impression as a question about residents of a composite county, with residents' first qualifying visits as the numerator and county person-time as the denominator. An illustrative calculation shows how 600 first visits among 415,000 residents give about 145 per 100,000 person-years. A section explains why visits mislead as a numerator, and another lists what the rate misses, including deaths before arrival and out-of-county care. Replies ask Keisha for a facility count and Devon how cases were found.
Where the points sit in the MPH 515 Week 1 rubric
The main loss in this post is the clinical version: a condition described in detail, its severity established, and no population anywhere. It is accurate and answers a different question. A second common loss is a count quoted with no denominator or period, which cannot be compared with anything. Posts that name a measure without saying what goes in the numerator and denominator also lose points. Strong posts move from a single observation to a defined population, name a measure with both parts of the fraction, explain what the data source misses and ask a useful question. A reply scores when it asks a classmate for the missing denominator or case definition.
MPH 515 Week 1 help from the desk
Many students arriving from clinical work find the first epidemiology post harder than it looks, because the habit of describing patients is strong. If you share an observation from your practice, we can help you restate it as a population question, choose a measure and identify its numerator and denominator. We can also help you think through what your likely data source would miss. Replies carry marks as well; a good one asks a classmate for a denominator in a way that reads as curiosity rather than correction, and we can draft one with you. Your observation and your reasoning remain your own, and any example from your workplace can be described without naming it. If you are unsure which period to use, we can help you choose one that matches the data you could realistically get.
Get a MPH-515 Week 1 example written to your instructions
Send the Week 1 prompt from your classroom and the observation you want to build on, and a custom example is written to that prompt and returned inside 24 to 48 hours. The first one is free. What you have seen at work stays yours to describe.
More MPH 515 papers and MPH samples
- MPH 515 Week 2: Epidemiologic Measures Write-up
- MPH 515 Week 3: Study Design Critique
- MPH 515 Week 4: Sample Paper, in Real Form
- MPH 515 Week 5: Biostatistics Write-up
- MPH 515 Week 6: Hypothesis Testing Exercise
- MPH 515 Week 7: Data Interpretation Paper
- MPH 515 Week 8: Epidemiology Synthesis Paper
- MPH 509 Week 1: Participatory Research Post
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- MPH 507 Week 1: Failed Program Post
- MPH 500 Week 1: Upstream Walk Post
MPH 515 Week 1 questions, answered
I have no statistics background. Is that a problem here?
Not in the opening week, which is about thinking in populations rather than about calculation. The concepts that matter are risk, denominator, comparison and time, none of which require mathematics. Where the course does move into computation later, it builds from these ideas, so a first post that gets the reasoning right is worth more than one demonstrating arithmetic.
Should I use data from my own workplace?
In general terms, and only what is already public or non-identifying. Aggregate observations about a service are usually fine; anything traceable to a patient is not, and employer data may be restricted regardless. Naming the kind of service rather than the service itself is enough for a graded board and sidesteps the question altogether.
How precise do the numbers have to be?
Correctly structured matters more than precisely sourced at this stage. A rate with the right denominator and a stated period, cited to something reputable, does what the prompt wants. Precise-looking figures with no denominator are the version that loses marks, because the structure is what the week is teaching and the structure is what a grader checks.
Where can I find a free MPH 515 Week 1 sample paper?
This page carries a full MPH 515 Week 1 post turning an emergency nurse's observation about overdoses into a population question, with two replies.
Why does the MPH 515 Week 1 sample not count visits as cases?
Because one person can make several visits; counting visits mixes how many people are affected with how often they return.