| Course | HLTH 9101 Dissertation |
|---|---|
| Week | Week 1 |
| Paper type | Progress post |
| Length | About 500 words, 3 pages |
| Format | Discussion post, APA 7 citations |
| School | Walden University |
| Program | PhD in Public Health |
| Updated | October 2026 |
Free sample paper for HLTH 9101 Week 1
Week 1 Discussion: Dissertation Progress Check-In
Where the Manuscript Really Is This Week: A Finished County-Level Analysis of Broadband and Older Adults' Behavioral Telehealth, and a Chapter 1 That Still Describes a Narrower Outcome Than the One Measured
My dissertation asks whether counties with higher household broadband subscription have a larger share of older adults' behavioral health care delivered by telehealth. The study is quantitative and county-level, using public files for broadband and aggregated Medicare claims for beneficiaries aged 65 and older. Telemental health use among rural Medicare beneficiaries was already growing quickly before the pandemic, with wide variation across states (Mehrotra et al., 2017), which is part of why county differences interest me. Here is where it really stands this week.
The analysis is finished. I have the county file assembled, the models run and the tables drafted. That sounds like good news, and mostly it is. The awkward part is that chapter 1 still describes a narrower outcome than the one I measured. When I wrote the problem statement two terms ago, I described the outcome as "video visits for mental health care." The measure I ended up building, from claims, counts any behavioral health visit billed as telehealth, which includes audio-only telephone visits and visits for substance use disorders as well as mental health. Those are not small differences. Chen et al. (2022) found that among patients in one health system who used telehealth during the pandemic, 45.4% received care through phone visits only, and older age, Medicaid coverage and living in areas with low broadband access all lowered the probability of using video.
So the mismatch is not cosmetic. If my outcome includes audio-only visits, broadband should matter less for part of what I am counting, since a telephone visit needs no internet. My chapter 1 promises to explain video care, and my data cannot isolate it. I have two choices. I can rewrite chapter 1, and the research question, to describe the outcome I measured, or I can go back and try to separate video from audio-only visits using modifiers in the claims file, if the aggregated data allow it.
My plan for this week is to check whether the modality can be separated. If it can, I will report video visits as a secondary outcome. Either way, chapter 1 gets rewritten so that the problem, the question and the outcome match. Booth et al. (2016) describe research as a conversation in which the claim must match the evidence a reader will see; mine currently does not.
Reply to Priya
Priya, you said your interviews are done and you are coding the last three transcripts. Has your codebook changed since you wrote chapter 3's description of it? If so, the method chapter may now describe a process you no longer followed.
Reply to Owen
Owen, you mentioned that your committee asked for a new covariate. Does adding it change the population your sample can describe, for example by dropping cases with missing data? That would ripple back into chapter 1 too.
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.
Chen, J., Li, K. Y., Andino, J., Hill, C. E., Ng, S., Steppe, E., & Ellimoottil, C. (2022). Predictors of audio-only versus video telehealth visits during the COVID-19 pandemic. Journal of General Internal Medicine, 37(5), 1138-1144. https://doi.org/10.1007/s11606-021-07172-y
Mehrotra, A., Huskamp, H. A., Souza, J., Uscher-Pines, L., Rose, S., Landon, B. E., Jena, A. B., & Busch, A. B. (2017). Rapid growth in mental health telemedicine use among rural Medicare beneficiaries, wide variation across states. Health Affairs, 36(5), 909-917. https://doi.org/10.1377/hlthaff.2016.1461
The Walden HLTH 9101 Week 1 instructions
The first thread of the dissertation course asks each learner to report where the manuscript actually stands, not where the timeline says it should be. Faculty expect a short description of the study, an honest account of what is finished and what is not, and attention to problems that cross chapters, such as a question or outcome that has changed. The strongest posts explain why a problem matters for the study's conclusions and state a concrete next step. Citing evidence that bears on the problem shows the learner understands its consequences rather than treating it as housekeeping. Replies to classmates should ask one useful question about their manuscripts, ideally about whether a change in one part has carried through to the rest of the document.
Inside the HLTH 9101 Week 1 example
The post opens with the research question and design in two sentences, citing Mehrotra and colleagues on the growth of telemental health among rural Medicare beneficiaries. The next paragraph reports that the analysis is finished but chapter 1 describes video visits for mental health while the measure counts any behavioral telehealth, citing Chen and colleagues on phone-only care. A paragraph explains why the mismatch weakens the broadband argument and names two options: rewriting chapter 1 or separating modality using claims modifiers. The plan for the week follows, with Booth and colleagues cited on matching claims to evidence. The reply to Priya asks whether her codebook changed, and the reply to Owen asks whether a new covariate shifted his sample.
HLTH 9101 Week 1 rubric: what earns full marks
Candor and consequence carry this post. A status update that lists completed tasks shows progress; one that names a cross-chapter problem and explains why it matters shows doctoral judgment. Readers of these posts want the study described in a sentence or two, an accurate account of what is done, and a problem stated in terms of the argument it affects. Evidence earns credit when it shows why the problem changes the conclusions, as the phone-only finding does here. A specific next step converts the confession into a plan. Replies earn their share by asking a single checkable question that helps the classmate find a similar drift in their own manuscript. Concise writing suits a cohort thread.
HLTH 9101 Week 1 help: mistakes that cost marks
Progress posts often report percentages complete and upcoming deadlines, which tells classmates and faculty little about the manuscript's real state. To write a stronger post, describe your study in two sentences. Then compare what each chapter says with what you actually did, and look for one place where they disagree. Explain why the disagreement matters for your conclusions, using a source if you can. Say what you will do about it this week. In your replies, ask each classmate one question about whether a change in their study has reached every chapter. A progress post for your own dissertation can be drafted from your current chapters.
Get a HLTH 9101 Week 1 example written to your instructions
Share the Week 1 thread prompt and its rubric, a line on each chapter's condition, and any classmate posts that need answering. The post comes back placing your dissertation part by part and naming the first spot where two parts disagree, replies attached. Free the first time, returned inside 24 to 48 hours; the broadband counties it describes are made up.
More HLTH 9101 papers and PhD in Public Health samples
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- HLTH 9101 Week 4: Literature Review Chapter Draft
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- HLTH 9101 Week 7: County Findings Chapter
- HLTH 9101 Week 8: Dissertation Discussion Draft
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- HLTH 9101 Week 11: Full Dissertation Read
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HLTH 9101 Week 1 questions, answered
Is it risky to admit a problem in a public thread?
Less risky than the alternative. Classmates and instructors read these threads to see whether you can find drift in your own document, and a post claiming everything is on track gives them nothing to credit. The example names one disagreement precisely and asks a question about it. Keep the admission specific and located; vague confessions about being behind read as mood, not diagnosis.
How much detail about the data should the post give?
Enough for a classmate to understand the unit, the exposure and the outcome, which in the example fits in one sentence. Variable lists, sample sizes and model choices belong in chapter 3. A thread post that reads like a method section loses its audience by the second paragraph, and the admission you most want read sits just after that point.
Where can I find a free HLTH 9101 Week 1 sample paper?
This page carries the complete Week 1 progress post, reporting a finished county-level analysis whose chapter 1 still describes a narrower outcome than the one measured, with two replies and three references.
Why does the outcome mismatch matter for the broadband argument?
The claims-based outcome includes audio-only visits, which need no internet. If broadband mainly enables video, counting phone visits dilutes the association and the chapter 1 promise about video care cannot be tested as written.
What are the two options for fixing the mismatch?
Rewrite chapter 1 and the research question to describe the outcome actually measured, or separate video from audio-only visits using claims modifiers if the aggregated data allow it, reporting video as a secondary outcome.