PUBH 8502 Week 9 Contradiction Analysis Example

Course	PUBH 8502 Scholar-Practitioner Inquiry II
Week	Week 9
Paper type	Contradiction analysis
Length	About 540 words, 4 pages
Format	APA 7 student paper
School	Walden University
Program	PhD in Public Health
Updated	October 2026

Free sample paper for PUBH 8502 Week 9

Same Reminder, Opposite Results: A Contradiction Analysis of Two Composite Trials of Text Reminders for Chlamydia Retesting, Traced to Whether the Message Ever Arrived

Student Name

Walden University

PUBH 8502: Scholar-Practitioner Inquiry II

Instructor Name

Month Day, Year

What this page is doingThe title gives away the explanation the analysis favors, because the point of the exercise is to argue for one cause of a conflict and say what would test it.

Same Reminder, Opposite Results: A Contradiction Analysis of Two Composite Trials of Text Reminders for Chlamydia Retesting, Traced to Whether the Message Ever Arrived

Two Findings That Conflict

The published evidence on reminders is not uniform. In a systematic review of rescreening interventions, three controlled observational studies of reminder strategies produced relative risks of 1.97, 1.01 and 1.88, and the authors declined to pool them because the results differed too much (Guy et al., 2012). To examine how such a conflict can arise, this analysis compares two composite trials, made up for this exercise from design features that recur across published trials.

Study A randomized 600 clients treated for chlamydia at an urban public clinic to a text reminder at three months or usual advice. Retesting within four months, defined as a chlamydia test at the clinic, rose from 20% to 38%. Study B randomized 450 clients at a rural county clinic to the same text and the same comparison. Retesting, defined the same way, was 22% in the reminder group and 23% in the control group. Both trials used the same outcome and window, so the findings genuinely conflict rather than measuring different things.

What this page is doingOpening with a real inconsistency shows the exercise addresses a genuine problem in the evidence.

Conditions Side by Side

Table 1

Conditions that might explain the difference

Condition	Study A, urban	Study B, rural \|
Texts delivered	91%	59%; many numbers disconnected or changed \|
How clients could return	Walk-in or booked, open six days	Booked only, open three days \|
Travel to clinic	Most within 20 minutes by bus	Median 40 minutes by car; little public transport \|
Who sent the text	The clinic, from a number clients recognized	A regional health office \|
Age of clients	Mostly under 25	Wider age range \|

Composite figures, illustrative.

The Most Likely Explanation

Delivery is the strongest candidate. A reminder that never arrives cannot work, and in Study B two of every five texts failed. If the reminder worked as well in Study B among those who received it as in Study A, the overall effect would still be diluted, but not to nothing. Delivery alone therefore cannot explain the whole gap. Two other conditions likely compound it. Clients in Study B could not simply walk in, so a reminder had to be followed by a phone call to book, and the trip was longer. A text from an unfamiliar regional number may also have been ignored.

Harbor Street's own log matters here. Last term, many of our reminders failed because numbers had changed by three months. On delivery, our clinic looks more like Study B than Study A, which means the large effects in some published reminder studies, such as a return rate of 30.6% after texts compared with 9.2% historically (Kampman et al., 2015), may not carry over unless contact details are confirmed first.

What Would Test the Explanation

A subgroup analysis in Study B limited to clients whose texts were delivered would test delivery directly. If the reminder effect among those clients approached Study A's, delivery would be confirmed as the main cause. If not, access and sender identity would deserve more weight. A trial that compared calls with texts, as earlier work compared calls with other approaches (Malotte et al., 2004), could also show whether a voice reaches people a text misses.

References

Guy, R., Hocking, J., Low, N., Ali, H., Bauer, H. M., Walker, J., Klausner, J. D., Donovan, B., & Kaldor, J. M. (2012). Interventions to increase rescreening for repeat chlamydial infection. Sexually Transmitted Diseases, 39(2), 136-146. https://doi.org/10.1097/OLQ.0b013e31823ed4ec

Kampman, C. J. G., Koedijk, F. D. H., Driessen-Hulshof, H. C. M., Hautvast, J. L. A., & van den Broek, I. V. F. (2015). Retesting young STI clinic visitors with urogenital Chlamydia trachomatis infection in the Netherlands; response to a text message reminder and reinfection rates: A prospective study with historical controls. Sexually Transmitted Infections, 92(2), 124-129. https://doi.org/10.1136/sextrans-2015-052115

Malotte, C. K., Ledsky, R., Hogben, M., Larro, M., Middlestadt, S., St. Lawrence, J. S., Olthoff, G., Settlage, R. H., & Van Devanter, N. L. (2004). Comparison of methods to increase repeat testing in persons treated for gonorrhea and/or chlamydia at public sexually transmitted disease clinics. Sexually Transmitted Diseases, 31(11), 637-642. https://doi.org/10.1097/01.olq.0000143083.38684.9d

Reading the PUBH 8502 Week 9 instructions

Contradiction analysis assignments ask students to take two studies or sets of studies with conflicting results and explain why they differ. Prompts usually require confirming that the findings truly conflict, comparing the studies' settings, populations and methods, proposing the most likely explanation and saying how it could be tested. Instructors expect students to avoid declaring one study simply wrong. Analyses that stop at listing differences without choosing an explanation, or that choose one without weighing alternatives, generally lose credit, since the skill is reasoning from differences to causes.

How this PUBH 8502 Week 9 example is built

The analysis opens with a real inconsistency from a systematic review and introduces two composite trials. Both findings are stated with setting, design, outcome and window, establishing that they measure the same thing. A table compares five conditions: message delivery, how clients could return, travel, who sent the text and client age. The analysis argues delivery is the strongest candidate, then shows with simple arithmetic that delivery alone cannot explain the full difference, adding access and sender identity. A section ties the explanation to the review's own clinic, and a final section names a subgroup analysis and a calls-versus-texts comparison as tests. The first paragraph flags both trials as composites, so that a reader can always tell which figures come from published work and which were invented to illustrate the reasoning.

Where the marks sit in the PUBH 8502 Week 9 rubric

Rubrics usually reward confirming a genuine conflict, a systematic comparison of conditions, a reasoned choice of explanation, attention to alternatives and a proposed test. Showing that both studies used the same outcome earns credit, since apparent conflicts often vanish when definitions differ. A table of conditions helps graders follow the reasoning. Admitting that the preferred explanation is incomplete, and naming what fills the gap, demonstrates rigor. Connecting the analysis to the student's own setting shows practical value. A specific, feasible test is often what separates strong analyses from adequate ones. Rough arithmetic, such as estimating the effect expected if only delivered messages counted, gives the argument a check that words alone cannot. Labeling invented figures clearly also protects the analysis from being misread as reporting real trials.

PUBH 8502 Week 9 help from the desk

First check that the two studies measured the same outcome over the same window; if not, the conflict may be an artifact. Then list every difference in setting, population, delivery and method. Ask which difference could plausibly produce the gap in results, and test that idea with rough numbers. If it explains only part, look for what explains the rest. Say what analysis or study would confirm your explanation. Link the answer to your own setting. If the studies in your review disagree and you cannot see why, we can write a sample analysis of the conflict. Label any invented figures clearly.

Get a PUBH 8502 Week 9 example written to your instructions

Point to the two findings that disagree in your reading, cite them, and add the analysis prompt for Week 9 with its rubric. The conflict is confirmed, the settings compared and one explanation argued, with your setting placed against it. A first analysis costs nothing and returns in 24 to 48 hours; both studies here are made up.

More PUBH 8502 papers and PhD in Public Health samples

PUBH 8502 Week 9 questions, answered

Where can I find a free PUBH 8502 Week 9 sample paper?

The complete Week 9 contradiction analysis is shown above, explaining conflicting results for text reminders.

What real inconsistency starts the analysis?

Reminder studies in a systematic review whose relative risks ranged from 1.01 to 1.97 and could not be pooled.

What is the main explanation for the conflict?

Two of every five texts in the rural trial were never delivered.

Why is delivery not the whole explanation?

Even adjusting for undelivered texts, the rural trial should have shown some effect, so access and sender identity likely matter too.

How could the explanation be tested?

By analyzing only rural clients whose texts were delivered, or by comparing calls with texts.