| Course | PHLT 8331 Fundamentals of Biostatistics |
|---|---|
| Week | Week 11 |
| Paper type | Plain-language report |
| Length | About 630 words, 5 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | PhD in Public Health |
| Updated | October 2026 |
Free sample paper for PHLT 8331 Week 11
Did Patients Do Better With the Pharmacist Clinic? A Plain-Language Report for a Community Health Center Network's Advisory Board, With the Technical Version Kept in an Appendix
Student Name
Walden University
PHLT 8331: Fundamentals of Biostatistics
Instructor Name
Month Day, Year
Did Patients Do Better With the Pharmacist Clinic? A Plain-Language Report for a Community Health Center Network's Advisory Board, With the Technical Version Kept in an Appendix
What We Looked At
People who take the blood thinner warfarin need regular blood tests to make sure their blood is not too thin, which risks bleeding, or too thick, which risks clots. Doctors and pharmacists adjust the dose based on these tests. A good measure of how well this is going is the share of time a patient's blood stays in the safe range. In 2024, two of our three clinics began having pharmacists manage warfarin, while the third continued with doctors. We looked at what happened to 212 patients who switched from doctor care to pharmacist care. All figures in this sample report are composite, made up to illustrate the method.
What We Found
Before switching, these patients spent on average about 58% of their time in the safe range. After switching, they spent about 66%. Over six months, that is roughly two more weeks in the safe range for the average patient. Put another way, before the switch about 43 in every 100 of these patients had good control; afterward, about 60 in every 100 did.
How Sure Are We?
The improvement is very unlikely to be a fluke of chance. Our best estimate is two extra weeks in range, and the data fit anything from about one and a half weeks to about two and a half weeks. Even the low end would be worthwhile for patients.
What We Cannot Say Yet
We cannot say for certain that the pharmacist clinic caused the improvement. Patients were moved to the pharmacist clinic partly because their control was poor, and people who start out doing badly often improve somewhat on their own. Some of the gain may be that. To know for sure, we would need to compare these patients with similar patients who stayed with their doctors over the same months. We also looked at our three clinics side by side, and patients at the pharmacist clinics did better, but the clinics differ in other ways too, such as staffing and the patients they serve.
What This Means for the Network
The results support continuing the pharmacist clinics and studying them more carefully, perhaps by comparing similar patients who did and did not switch. They do not yet support closing the doctor-managed service or moving every patient. Research elsewhere has generally found better control with pharmacist-managed care (Manzoor et al., 2017), which makes our results believable, but our own data alone cannot prove it.
Appendix: Technical Summary
For readers who want the statistics: across the 212 patients transferred to pharmacist-run anticoagulation care, mean time in therapeutic range rose from 58.4% to 66.1%, a mean within-patient difference of 7.7 percentage points (standard deviation 18.6; paired t = 6.03, df = 211, p < .001; 95% confidence interval 5.2 to 10.2). Good control, defined as time in range of at least 65%, rose from 42.9% to 60.4% (McNemar chi-square = 17.33, df = 1, p < .001). Between clinics, mean time in range was 67.2% at pharmacist-managed clinics and 61.9% at the physician-managed clinic (Welch t = 4.28, p < .001; the gap of 5.3 points had an interval of 2.9 to 7.7). Time in range was calculated by linear interpolation. Explaining uncertainty with natural frequencies, such as numbers out of 100, and with ranges rather than single figures follows research on communicating risk to general audiences (Spiegelhalter, 2017; Zipkin et al., 2014).
A Note on Numbers
This report uses only a few numbers, chosen because board members can picture them: percentages of time, weeks in range and patients out of 100. The technical appendix keeps everything else intact for anyone who wants to check it.
References
Manzoor, B. S., Cheng, W.-H., Lee, J. C., Uppuluri, E. M., & Nutescu, E. A. (2017). Quality of pharmacist-managed anticoagulation therapy in long-term ambulatory settings: A systematic review. Annals of Pharmacotherapy, 51(12), 1122-1137. https://doi.org/10.1177/1060028017721241
Spiegelhalter, D. (2017). Risk and uncertainty communication. Annual Review of Statistics and Its Application, 4, 31-60. https://doi.org/10.1146/annurev-statistics-010814-020148
Zipkin, D. A., Umscheid, C. A., Keating, N. L., Allen, E., Aung, K., Beyth, R., Kaatz, S., Mann, D. M., Sussman, J. B., Korenstein, D., Schardt, C., Nagi, A., Sloane, R., & Feldstein, D. A. (2014). Evidence-based risk communication: A systematic review. Annals of Internal Medicine, 161(4), 270-280. https://doi.org/10.7326/M14-0295
What the PHLT 8331 Week 11 instructions ask for
The final assignment usually asks students to explain a statistical finding to a non-technical audience while preserving accuracy. The expectation is that the measure will be defined in everyday terms, results presented with a few well-chosen numbers, uncertainty explained without jargon and limits stated honestly. A technical appendix lets readers check the work. Research on risk communication, such as using natural frequencies, can guide choices. The report should end with what the findings mean for the audience's decisions. Reports usually run two to three pages plus an appendix and cite sources on communicating statistics. Instructors often ask students to explain their choices of which numbers to keep and which to move to the appendix.
How the PHLT 8331 Week 11 example is put together
The report opens by explaining warfarin, blood tests and time in the safe range in plain words, noting the composite figures. A section presents the main finding in percentages, weeks and patients out of 100. A section explains certainty with a best estimate and a range. A section states what cannot be said yet, explaining regression to the mean and clinic differences without technical terms. Implications for the clinic network follow, supported by a systematic review of pharmacist anticoagulation services. A technical appendix reports the paired test, McNemar test and clinic comparison and cites research on communicating risk and uncertainty. A closing note explains the choice of numbers.
PHLT 8331 Week 11 rubric: what earns full marks
Marks for this report reward accessibility without loss of accuracy. The sample earns credit by defining the measure in everyday terms and choosing numbers board members can picture, such as weeks in range and patients out of 100. Explaining uncertainty as a best estimate with a range, without statistical vocabulary, shows communication skill. Stating limits plainly, including regression to the mean, demonstrates honesty. The technical appendix shows the plain version rests on a full analysis. Accurate figures across both versions and correct citations complete the assessment. Instructors also check that the plain-language figures match the appendix exactly, since rounding or simplifying must not change the meaning. A closing note explaining why particular numbers were chosen shows deliberate communication.
PHLT 8331 Week 11 help from the desk
Plain-language reports often either drown readers in statistics or drop so much detail that the findings become misleading. Choose a few numbers your audience can picture and use natural frequencies such as "out of 100". Explain uncertainty as a range around a best estimate. State what the results cannot show in everyday words. Keep the full technical version in an appendix so nothing is lost. Test the report on someone outside the field and ask what they would conclude. Request a free plain-language version of your own analysis for your community audience. Check that every simplified figure matches the technical appendix. Explain to readers why you chose the numbers you did, so they trust the simplification.
Get a PHLT 8331 Week 11 example written to your instructions
Forward the Week 11 instructions and rubric, name the audience your section specifies, and include the analysis you want explained. A plain-language report with a glossary and a matching technical appendix returns within 24-48h, and the first request is free. The analysis it explains is a composite, so the board-ready sentences in yours rest on your own results.
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PHLT 8331 Week 11 questions, answered
Where can I find a free PHLT 8331 Week 11 sample paper?
The full Week 11 plain-language report is reproduced here, explaining a composite anticoagulation registry finding to a community advisory board, with a technical appendix.
Should a plain-language report include numbers?
Yes, but only a few, chosen so readers can picture them. The sample uses percentages of time, weeks in range and patients out of 100, and keeps the full statistics in an appendix.
How do you explain uncertainty without statistical terms?
Give a best estimate and the range the data fit, in everyday units, and say what that range means for decisions. The sample says the best estimate is two extra weeks and the data fit about one and a half to two and a half weeks.
Does the appendix need to repeat everything in the report?
It should contain the technical details behind every claim in the plain-language section, such as test statistics and confidence intervals, so a knowledgeable reader can check the work, without repeating the explanatory text.
What are natural frequencies?
Ways of expressing proportions as counts out of a reference number, such as 60 in every 100 patients. Research on risk communication finds they are easier for most people to understand than percentages or probabilities.