PUBH 8503 Week 3 Candidate Designs Example

Scholar-Practitioner Inquiry III Walden University Free custom sample in 24 to 48h

This PUBH 8503 Week 3 candidate designs example lines up four ways to judge whether new follow-up raised chlamydia retesting at an invented clinic, and gives each a verdict. Walden PUBH 8503 asks students to compare designs before choosing, and the paper judges a randomized comparison by clinic day, a simple before-and-after comparison, an interrupted time series and a controlled comparison with a neighboring clinic against the same question and the clinic's real constraints. The trial is ruled out because the clinic will not run two follow-up systems, the before-and-after becomes a secondary analysis, the time series becomes primary, and the comparison clinic is held for closer study. It models design choice in PhD in Public Health evaluation.

CoursePUBH 8503 Scholar-Practitioner Inquiry III
WeekWeek 3
Paper typeCandidate designs
LengthAbout 540 words, 4 pages
FormatAPA 7 student paper
SchoolWalden University
ProgramPhD in Public Health
UpdatedOctober 2026

Free sample paper for PUBH 8503 Week 3

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Four Designs and a Verdict for Each: Candidate Approaches to Judging an Invented Clinic's Retest Reminders and Kits, From an Alternating-Day Trial to an Interrupted Time Series

Student Name

Walden University

PUBH 8503: Scholar-Practitioner Inquiry III

Instructor Name

Month Day, Year

What this page is doingThe title promises a decision for every design considered, because a lineup without verdicts leaves the reader to do the work of choosing.
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Four Designs and a Verdict for Each: Candidate Approaches to Judging an Invented Clinic's Retest Reminders and Kits, From an Alternating-Day Trial to an Interrupted Time Series

The Question the Designs Must Answer

The question, fixed last week, asks whether retesting among Harbor Street's treated chlamydia clients shifted in level or slope once the new follow-up started. Each design below is judged on whether it can answer that question, whether the clinic can carry it out, and what it would leave uncertain.

What this page is doingRestating the question first gives every verdict the same yardstick.
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Design 1: Randomized Comparison by Clinic Day

Clients treated on alternating days would receive the program or usual advice. Randomization by day would balance most differences between groups and give the strongest answer (Shadish et al., 2002).

Verdict: ruled out. Outreach staff would have to run two follow-up systems at once, sorting each client by treatment day three months later. The medical director also declined to withhold confirmed contact details from half of clients, since confirming them costs nothing and the review found reminders fail without them. A design the clinic will not run cannot answer the question.

Design 2: Simple Before-and-After Comparison

The retest share for the twelve months before the program would be compared with the twelve months after.

Verdict: kept, but as a weak secondary analysis. It is easy to explain, and the director will want it. It cannot tell whether a difference reflects the program or a trend already in motion, and Harbor Street's retest share had been drifting upward slowly after appointment texts for other kinds of visit were introduced.

Design 3: Interrupted Time Series

The monthly retest share would be tracked for several years before the program and at least a year after. Segmented regression would estimate whether the level or the slope of the series changed at the switch month, controlling for the trend before it (Wagner et al., 2002).

Verdict: kept as the primary design. It uses records the clinic already holds and accounts for the existing trend. Its main weakness is that anything else happening in the same month as the switch could be mistaken for an effect. It also needs enough monthly points on each side; a frequently cited guide is twelve before and twelve after (Wagner et al., 2002), and a tutorial for public health evaluators stresses that short series make seasonal patterns hard to separate from effects (Lopez Bernal et al., 2017).

Design 4: Controlled Comparison With Another Clinic

A neighboring county's sexual health clinic that has not changed its follow-up would be tracked over the same months. Its series would serve as a concurrent control, addressing the time series' main weakness.

Verdict: held for closer examination. It would strengthen the design considerably, but it depends on another health department's data and cooperation. A separate note will weigh it in detail.

Summary of Verdicts

Table 1

Candidate designs and verdicts

DesignStrengthMain weaknessVerdict |
Randomized by clinic dayBalances groupsClinic will not run two systemsRuled out |
Before and afterSimple, familiarIgnores existing trendSecondary only |
Interrupted time seriesAccounts for trend; uses existing recordsEvents in the switch monthPrimary |
Controlled comparisonConcurrent controlNeeds another departmentExamine further |

Verdicts reflect the clinic's constraints as of the planning date.

References

Lopez Bernal, J., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: A tutorial. International Journal of Epidemiology, 46(1), 348-355. https://doi.org/10.1093/ije/dyw098

Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin.

Wagner, A. K., Soumerai, S. B., Zhang, F., & Ross-Degnan, D. (2002). Segmented regression analysis of interrupted time series studies in medication use research. Journal of Clinical Pharmacy and Therapeutics, 27(4), 299-309. https://doi.org/10.1046/j.1365-2710.2002.00430.x

Reading the PUBH 8503 Week 3 instructions

Candidate design assignments ask students to identify several possible designs for answering their evaluation question and judge each one. Prompts typically require a description of each design, its strengths and weaknesses for this particular question, its feasibility in the setting and a verdict. Instructors usually expect at least one experimental option to be considered, even if it is rejected, and expect reasons grounded in the setting rather than general preferences. Papers that discuss designs in the abstract, never testing them against the student's own question, or that reach a verdict without stating what each design would leave uncertain, tend to receive less credit.

Inside the PUBH 8503 Week 3 example

The paper restates the evaluation question so each design is judged against the same standard. Four sections follow, one per design, each with a short description and a verdict. The randomized design is ruled out for practical and ethical reasons tied to the clinic. The before-and-after comparison is kept only as a secondary analysis because the clinic's retest share was already rising. The interrupted time series is kept as primary, with its need for enough monthly points noted. The comparison clinic design is held for a separate note. A summary table lists each design's strength, main weakness and verdict. Each verdict states what the design would leave uncertain, so the reader can see the price of every choice, not just the winner. The comparison clinic's verdict is deliberately provisional, setting up the following week's note.

Reading the PUBH 8503 Week 3 rubric

Graders typically assess the range of designs considered, the accuracy of each description, the relevance of strengths and weaknesses to the question, and the soundness of the verdicts. Considering a randomized option and explaining why it does not fit earns credit. Reasons rooted in the setting, such as staff capacity or a director's decision, show practical judgment. Noting how much data a design needs demonstrates technical awareness. Holding a promising design for closer examination, rather than accepting or rejecting it too quickly, shows care. A summary table helps graders see the reasoning at a glance and is usually well received. Verdicts that cite the setting's own constraints, such as staff capacity, read as decisions rather than preferences.

Common PUBH 8503 Week 3 mistakes, and how to avoid them

Write your evaluation question at the top and keep it there. List every design you could reasonably use, including one you suspect is impossible. For each, ask what it would tell you, what it would leave uncertain and whether your setting could carry it out. Talk to the people whose cooperation each design needs. Give each design a verdict, and if you are unsure, say what more you need to know. If you cannot think of more than one design for your question, we can prepare a sample lineup for your evaluation. Date your verdicts.

Get a PUBH 8503 Week 3 example written to your instructions

Describe the question you are designing for, the records and people you could plausibly reach, and any designs you already favor or fear, with the Week 3 prompt and rubric. The designs are lined up against your question and judged on what each could establish and need. Your first sample is free within 24 to 48 hours; this clinic's laboratory limits are invented.

More PUBH 8503 papers and PhD in Public Health samples

PUBH 8503 Week 3 questions, answered

Where can I find a free PUBH 8503 Week 3 sample paper?

The full Week 3 candidate designs paper is above, comparing four ways to evaluate chlamydia retest follow-up.

Why is the randomized design ruled out?

The clinic will not run two follow-up systems at once, and the director declined to withhold contact confirmation.

Why is the before-and-after comparison only secondary?

The retest share was already rising, and this design cannot separate that trend from a program effect.

Why is the interrupted time series chosen?

It accounts for the existing trend and uses records the clinic already holds.

What happens to the comparison clinic design?

It is held for a separate note weighing its strengths against its demands.