| Course | PHLT 8060 Dissertation Seminar I |
|---|---|
| Week | Week 3 |
| Paper type | Evidence scan |
| Length | About 830 words, 6 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | PhD in Public Health |
| Updated | October 2026 |
Free sample paper for PHLT 8060 Week 3
Evidence Scan: Testing One Office's Impression of Missed Hepatitis B Birth Doses Against Four Sources the Author Does Not Control, With a Split Verdict
Student Name
Walden University
PHLT 8060: Dissertation Seminar I
Instructor Name
Month Day, Year
Evidence Scan: Testing One Office's Impression of Missed Hepatitis B Birth Doses Against Four Sources the Author Does Not Control, With a Split Verdict
The Impression Under Test
The author's impression, built from six years of calls and registry glances in a composite state's rural region, is that newborns at some rural birthing hospitals leave without the hepatitis B birth dose more often than newborns elsewhere, and that the gap may have widened since hospitals began purchasing newborn vaccine themselves in mid-2021. An impression formed inside one office can reflect what reaches that office rather than what is happening. This scan asks the same two questions of four sources the author does not control: does coverage of the birth dose in the rural region fall below coverage elsewhere, and did it change after the purchasing shift?
Source 1: The State Immunization Program's Annual Coverage Report
The state program publishes an annual report that includes the share of births with a hepatitis B dose recorded in the registry within three days of birth, by county. In the composite state's most recent reports, the six rural counties' combined figure sits several percentage points below the statewide figure in each of the past five years. That supports the first part of the impression. The report cannot address the second part well: it changed its timing definition from "within seven days" to "within three days" in 2022, so figures before and after the purchasing shift are not directly comparable. It also reports by mother's county of residence rather than by hospital of birth, so rural mothers who deliver at urban hospitals are counted with the rural counties.
Source 2: National Immunization Survey Estimates
The National Immunization Survey reports national and state estimates of birth dose coverage from provider-verified records, and national birth dose coverage has consistently been lower than coverage for the later doses of the hepatitis B series (Hill et al., 2021). State estimates exist, but samples within a state are too small to separate rural from urban counties or individual hospitals. The survey confirms that birth dose coverage is a known weak point nationally, which supports the plausibility of the impression, but it cannot test it locally.
Source 3: Published Analyses of Hospital Practices
A national survey of birthing hospitals found that many lacked written policies for the steps that prevent perinatal transmission, including the birth dose (Willis et al., 2010). National guidance emphasizes standing orders and admission order sets as ways to ensure the dose is given (Schillie et al., 2018). These sources support a mechanism, variation in hospital policy, through which coverage could differ across hospitals. They do not address purchasing changes, and their data predate the state's shift by more than a decade.
Source 4: Local News and Hospital Communications
Two regional newspaper articles in the past three years quoted rural hospital administrators describing tight pharmacy budgets, and one hospital's newsletter announced a revised newborn order set in 2023. These sources are anecdotal and written for other purposes, but they suggest that purchasing pressures and protocol changes were real during the period in question. They cannot show their effect on coverage.
The Verdict
The verdict splits. The first part of the impression, that coverage in the rural region falls below coverage elsewhere, is supported by an independent source at the county level, though not yet at the hospital level. The second part, that coverage changed after the purchasing shift, is neither supported nor contradicted, because the only local time series changed its definition at the worst possible moment. The impression has earned the status of a question worth asking; it has not earned the status of a finding.
Table 1
What Each Source Says About the Two Questions
| Source | Rural coverage below elsewhere? | Change after the purchasing shift? | |
|---|---|---|
| State program annual report | Supports, at county level | Cannot tell; definition changed in 2022 | |
| National Immunization Survey | Plausible nationally; cannot separate rural | Cannot tell | |
| Published hospital practice analyses | Supports a mechanism for variation | Not addressed; predates the shift | |
| Local news and hospital communications | Suggestive only | Suggests pressures, not effects | |
Note. Sources describe a composite state; national sources are real and are cited in the text.
What the Scan Changes
Three things follow for the boundary work ahead. First, any period comparison will need data built on a consistent timing definition across the shift, which means going to the registry's individual records rather than to published summaries. Second, counting by hospital of birth rather than by mother's county will require linking registry records to birth certificates, which the state's vital records office makes possible under a data agreement. Third, the scan cannot distinguish omission from refusal or from recording failure, so the problem may need to be framed around recorded doses rather than around what happened at the bedside. Booth et al. (2016) observe that research problems often become sharper when a writer learns what the available evidence cannot say, and this scan has shown exactly where the gaps lie.
References
Booth, W. C., Colomb, G. G., Williams, J. M., Bizup, J., & FitzGerald, W. T. (2016). The craft of research (4th ed.). University of Chicago Press.
Hill, H. A., Yankey, D., Elam-Evans, L. D., Singleton, J. A., & Sterrett, N. (2021). Vaccination coverage by age 24 months among children born in 2017 and 2018: National Immunization Survey-Child, United States, 2018-2020. MMWR Morbidity and Mortality Weekly Report, 70(41), 1435-1440. https://doi.org/10.15585/mmwr.mm7041a1
Schillie, S., Vellozzi, C., Reingold, A., Harris, A., Haber, P., Ward, J. W., & Nelson, N. P. (2018). Prevention of hepatitis B virus infection in the United States: Recommendations of the Advisory Committee on Immunization Practices. MMWR Recommendations and Reports, 67(1), 1-31. https://doi.org/10.15585/mmwr.rr6701a1
Willis, B. C., Wortley, P., Wang, S. A., Jacques-Carroll, L., & Zhang, F. (2010). Gaps in hospital policies and practices to prevent perinatal transmission of hepatitis B virus. Pediatrics, 125(4), 704-711. https://doi.org/10.1542/peds.2009-1831
PHLT 8060 Week 3 instructions, in plain terms
The third assignment usually asks students to test their concern against evidence they did not produce. Faculty expect the impression stated as specific questions, then a set of sources from different vantage points, data from inside the setting, surveillance from above it, studies from elsewhere and signals such as news, each asked the same questions. Each source's strengths and limits for answering those questions should be explained. The verdict may confirm, correct or split the impression, and a split verdict is often the most useful. Strong scans close by explaining what the evidence implies for the boundary work, such as which data will be needed. Agency data count as evidence but not as independent confirmation of an impression the agency formed. Three pages is typical.
How the PHLT 8060 Week 3 example is put together
The scan opens by stating the impression and turning it into two questions. Four source sections follow: a state annual coverage report that supports lower rural coverage but changed its timing definition and counts by mother's county; national survey estimates that confirm birth dose coverage is a weak point but cannot separate rural areas; published analyses of hospital practices that support variation through policy gaps but predate the change; and local news suggesting budget pressures. A table summarizes each source's answer to both questions. The verdict splits, supported on lower coverage, undetermined on change. A final section lists three implications: individual records, linkage by hospital of birth and framing around recorded doses.
PHLT 8060 Week 3 rubric: what earns full marks
Graders reward a scan that asks the same questions of every source and judges each fairly. Scans that collect only confirming sources, or summarize sources without testing them, earn less. Credit goes to sources from different vantage points, to clear statements of what each can and cannot answer, and to a verdict the sources themselves force rather than one the author wanted. A split verdict, explained precisely, shows judgment. Identifying the specific obstacle to answering a question, here a changed definition, demonstrates careful reading. Implications for the next stage should be concrete. Citations should be accurate, and composite local sources should be labeled as such. A clear summary table helps the reader see the verdict at a glance.
Common PHLT 8060 Week 3 mistakes, and how to avoid them
Evidence scans fall short when they gather support instead of testing an idea. Turn your impression into specific questions. Choose sources you do not control, from different vantage points, and ask each the same questions. Spell out each source's reach and its blind spots. Let the verdict split if it should. Finish by naming how the findings will shape your boundaries. Record where each source came from so a committee can find it again, and keep notes on what each source could not tell you. Scans for other impressions follow the same question-by-source design.
Get a PHLT 8060 Week 3 example written to your instructions
Describe the pattern you believe you have seen and where your own data come from, then add the Week 3 prompt and rubric. The scan puts that impression to sources you do not control and reports which parts hold. First scan free, in 24 to 48 hours. The state reports, studies and form change described above were constructed for illustration.
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PHLT 8060 Week 3 questions, answered
Does my own agency's data count as evidence?
It counts, but not as independent confirmation of an impression your agency formed. The example lists the state reports first because they are closest to the author's work, then looks for the pattern in sources produced by others. If your case rests only on your employer's records, the scan should say so plainly, and a committee will expect outside evidence before accepting the pattern as real.
What if the evidence contradicts my impression?
Then the scan has done its job. In the example, the rising half of the impression cannot be confirmed because the exemption form changed, and the verdict says so rather than hunting for a source that agrees. A contradicted impression is not a failed assignment; it redirects the problem toward the part that holds, here clustering, which becomes the focus of the boundary work.
Where can I find a free PHLT 8060 Week 3 sample paper?
The complete Week 3 evidence scan is on this page, testing an impression about rural hepatitis B birth dose coverage against four independent sources, with a split verdict.
Why can't the scan tell whether coverage changed after 2021?
The only local time series changed its timing definition in 2022, so figures before and after the purchasing change are not comparable. The dissertation will need individual records with one consistent definition.
How many sources should an evidence scan include?
Enough to cover different vantage points. This sample uses four kinds, a state report, national surveillance, published studies and local news, because range matters more than volume.