PUBH 8410 Week 10 Attribution Memo Example

Fundamentals of Leadership, System Evaluation, and Interventions in Public Health Walden University Free custom sample in 24 to 48h

This PUBH 8410 Week 10 attribution memo example asks how much of a composite county's first-year improvement in treatment at delivery, among pregnant residents with opioid use disorder and little prenatal care, can be credited to its new pathway. Walden PUBH 8410 introduces John Mayne's contribution analysis, and the memo follows its sequence from a narrowed question through the theory of change and link-by-link evidence to rival explanations. A 2023 federal prescribing change, a new nursery care model and chance each get a distinguishing prediction. The memo claims a moderate contribution to treatment, declines credit for shorter nursery stays and names what would change its confidence. It reflects the careful claims expected in the PhD in Public Health.

CoursePUBH 8410 Fundamentals of Leadership, System Evaluation, and Interventions in Public Health
WeekWeek 10
Paper typeAttribution memo
LengthAbout 650 words, 4 pages
FormatMemo, APA 7 citations
SchoolWalden University
ProgramPhD in Public Health
UpdatedOctober 2026

Free sample paper for PUBH 8410 Week 10

1

Memorandum

To: Bridge Pathway Steering Group and County Board, Ridgeline County

From: Doctoral Fellow, Systems Leadership

Date: Month Day, Year

Re: How much of the first year's improvement the Bridge pathway can claim

 

The Attribution Question

In its first year, Ridgeline County, a composite county, saw more pregnant residents with opioid use disorder in treatment at delivery and shorter nursery stays for exposed infants. The trends here are narrative, not data. A general question, whether the pathway worked, cannot be answered with what we have. This memo asks a narrower one: how much of the rise in treatment at delivery among residents with little or no prenatal care can reasonably be credited to the Bridge pathway?

What this page is doingNarrowing the question first makes it answerable with the data the county actually holds.
2

Method

Mayne (2012) describes contribution analysis as a sequence: state the question, set out the theory of change, assess the evidence for each link, examine rival explanations, then build and test a contribution story. Its aim is a reasonable claim about contribution, not proof of causation.

The Theory of Change and Its Evidence

The pathway assumed that pregnant residents seen in emergency departments, at jail intake or through positive test results would receive a first dose or continuation, be contacted by a navigator, attend a clinic visit and stay in treatment, consistent with the view that each link of a program's theory should be tested on its own (Weiss, 1995). Process records show the early links held in the emergency arm and in result routing. First doses were given to most eligible patients, and most referrals were contacted within three days. The jail arm fell below its alteration threshold and offers weaker evidence.

Rival Explanations

The federal change made it easier for any clinician to prescribe buprenorphine, so it should have helped people already in prenatal care at least as much as those outside it. Gains were larger outside prenatal care, where only the pathway reaches. That pattern favors the pathway.

The nursery rival is stronger. The hospital adopted a care model built on keeping infants with parents, assessing function rather than symptom scores and giving morphine only as needed. A similar model at one children's hospital cut average stays sharply and reduced morphine use from nearly all methadone-exposed infants to a small minority (Grossman et al., 2017). It would shorten stays whether or not mothers were treated, so the pathway cannot claim the fall in nursery days.

Chance needs its own word. A county of this size records only a few dozen affected births a year, and a change of a handful of cases can move a rate noticeably. The memo therefore relies on the pattern across groups, which chance is less likely to produce, more than on the size of any single change.

Table 1

Rivals and the predictions that separate them

ExplanationWhat it would predictWhat the records show |
Bridge pathwayGains concentrated among residents reached through emergency departments, jail or result routing, mostly outside prenatal careGains largest in that group |
2023 federal change removing the separate buprenorphine prescribing waiverGains spread across all routes, including private obstetric practicesSmaller gains among patients in regular prenatal care |
New nursery care modelShorter stays for all exposed infants, whatever the mother's treatmentShorter stays across the board |
ChanceSwings in either direction from year to yearCannot be ruled out with one year |

Each rival is given a prediction that would distinguish it from the pathway.

The Contribution Story

The pathway can reasonably claim a contribution to the rise in treatment at delivery among residents with little or no prenatal care. Confidence is moderate: the links hold, the strongest rival predicts a different pattern, but one year's numbers are small. The pathway should not claim the shorter nursery stays, which are better explained by the new nursery model. A second year in which gains outside prenatal care persist would raise confidence; gains spreading evenly to all patients would lower it.

References

Grossman, M. R., Berkwitt, A. K., Osborn, R. R., Xu, Y., Esserman, D. A., Shapiro, E. D., & Bizzarro, M. J. (2017). An initiative to improve the quality of care of infants with neonatal abstinence syndrome. Pediatrics, 139(6), Article e20163360. https://doi.org/10.1542/peds.2016-3360

Mayne, J. (2012). Contribution analysis: Coming of age? Evaluation, 18(3), 270-280. https://doi.org/10.1177/1356389012451663

Weiss, C. H. (1995). Nothing as practical as good theory: Exploring theory-based evaluation for comprehensive community initiatives for children and families. In J. P. Connell, A. C. Kubisch, L. B. Schorr, & C. H. Weiss (Eds.), New approaches to evaluating community initiatives: Concepts, methods, and contexts (pp. 65-92). Aspen Institute.

The Walden PUBH 8410 Week 10 instructions

Attribution assignments have students weigh how much of an observed change can reasonably be credited to an intervention when other influences were present. Contribution analysis is a common method. Prompts usually require a memo that states the attribution question, summarizes the theory of change, reviews evidence for each link, examines alternative explanations and reaches a graded conclusion. Instructors expect students to work with the data they would realistically have, often process data and small outcome counts rather than a controlled comparison. Memos that claim the program caused all improvement, or that refuse to make any claim because no trial was run, both tend to lose credit.

How the PUBH 8410 Week 10 example is put together

The memo opens by narrowing a broad question into one the county's data can answer. A short method section sets out Mayne's sequence. The theory of change is summarized, and process records are checked against its early links, with the weaker jail arm noted. A table gives each rival explanation a prediction that would distinguish it from the pathway and states what the records show. The federal change is set aside because gains concentrated where only the pathway reaches, while the nursery model is credited with shorter stays. A paragraph on chance explains reliance on patterns. The contribution story grades its claim and names evidence that would revise it.

Where the marks sit in the PUBH 8410 Week 10 rubric

Rubrics usually reward a precise attribution question, correct use of contribution analysis, evidence assessed link by link, serious treatment of rival explanations and a conclusion matched to the strength of the evidence. Graders often give credit for distinguishing predictions, since they turn rival explanations into checks. Stating a confidence level and the evidence that would change it shows maturity. Declining to claim an outcome the evidence does not support, as this memo does for nursery stays, is often noticed. Acknowledging small numbers and chance strengthens the memo. Papers that list rivals without testing them, or that end with an unqualified success claim, typically score lower. Memos that separate what process data show from what outcome data can show also handle the evidence with appropriate care.

Common PUBH 8410 Week 10 mistakes, and how to avoid them

Narrow your question until the data you have could answer it; most attribution problems start because the question is too broad. List every serious rival you can think of, then write for each one what it would predict that your program would not. Check your records against those predictions. Be willing to give some of the credit away. State your conclusion with a confidence level and the evidence that would raise or lower it. When your results are in but you cannot tell how to separate your program's contribution from everything else happening at the same time, we can write a sample memo using your program and its rivals.

Get a PUBH 8410 Week 10 example written to your instructions

Send the outcome that changed, the intervention being credited and anything else that happened in the same period, with the Week 10 prompt and rubric; the memo arrives within 24 to 48 hours, the first one free, its contribution claim graded for confidence. Quasi-experimental designs your section requires, such as a comparison county, are built into the evidence section.

More PUBH 8410 papers and PhD in Public Health samples

PUBH 8410 Week 10 questions, answered

Where can I find a free PUBH 8410 Week 10 sample paper?

The whole Week 10 attribution memo is reproduced above, applying contribution analysis to a county treatment pathway.

What attribution question does the memo ask?

How much of the rise in treatment at delivery among residents with little or no prenatal care can be credited to the pathway.

How is the federal prescribing change ruled out?

It should have helped all patients, but gains were concentrated outside prenatal care, where only the pathway reaches.

Why does the pathway not claim shorter nursery stays?

A new nursery care model would shorten stays for all exposed infants regardless of maternal treatment.

How confident is the contribution claim?

Moderate, because the links hold and rivals predict different patterns, but one year's numbers are small.