| Course | HLTH 9101 Dissertation |
|---|---|
| Week | Week 7 |
| Paper type | Findings write-up |
| Length | About 510 words, 4 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | PhD in Public Health |
| Updated | October 2026 |
Free sample paper for HLTH 9101 Week 7
Findings Chapter Where Counties Are the Subject of Every Sentence: Household Broadband Subscription and the Telehealth Share of Older Adults' Behavioral Health Visits in a Composite National County Analysis, With All Estimates Illustrative
Student Name
Walden University
HLTH 9101: Dissertation
Instructor Name
Month Day, Year
Findings Chapter Where Counties Are the Subject of Every Sentence: Household Broadband Subscription and the Telehealth Share of Older Adults' Behavioral Health Visits in a Composite National County Analysis, With All Estimates Illustrative
A Rule for the Chapter
Every sentence in this chapter has a county, or counties, as its subject. The rule keeps each claim at the level where it was measured. Robinson (1950) showed that associations computed across groups can differ, even in direction, from associations among individuals in those groups. A sentence beginning "older adults with broadband" would describe people the study never observed. All estimates in this composite study are illustrative.
Counties in the Analysis
The analysis included 2,961 counties. In those counties, the median share of households with a broadband subscription was 83.4%, ranging from 52.1% in the least connected county to 96.8% in the most connected. Across those counties, the median remote share of older Medicare patients' behavioral visits was 31.6%, and their video share a median of 17.2%.
Main Estimates
Counties with 10 percentage points higher broadband subscription had a telehealth share 4.8 points higher before adjustment and 1.9 points higher after adjustment. Adjustment reduced the estimate by more than half, consistent with income, rurality and clinician supply accounting for much of the unadjusted association. Counties with higher subscription had a video share 3.2 points higher after adjustment, a stronger association than for telehealth overall, and an audio-only share 1.3 points lower.
Table 1
County-Level Associations With Each 10-Point Higher Broadband Subscription, Illustrative
| Outcome | Unadjusted difference, percentage points (95% CI) | Adjusted difference, percentage points (95% CI) | |
|---|---|---|
| Telehealth share, any modality | 4.8 (3.9 to 5.7) | 1.9 (0.8 to 3.0) | |
| Video share | 5.6 (4.7 to 6.5) | 3.2 (2.1 to 4.3) | |
| Audio-only share | -0.8 (-1.5 to -0.1) | -1.3 (-2.1 to -0.5) | |
Weighted linear models with standard errors clustered by state; adjusted models include household income, age structure, rural code, behavioral health clinicians per 10,000 residents and Medicare Advantage share. Estimates are illustrative for a composite study.
How the Covariates Behaved
Grouped using the framework of Andersen (1995), enabling factors carried most of the adjustment. Counties with higher median household income and more behavioral health clinicians per 10,000 residents had higher telehealth shares, and including them reduced the broadband estimate the most. Rural counties had lower telehealth shares before adjustment and similar shares after adjustment for broadband and clinician supply.
Sensitivity Analysis
A fractional logit model gave estimates in the same direction and of similar size: counties with 10 points higher subscription had an adjusted telehealth share about 2 points higher. Excluding the 18 counties missing covariates made no material difference.
Reporting Standard
The chapter reports each estimate with its interval and the covariates in the model, as the RECORD guidance for studies using routinely collected data recommends (Benchimol et al., 2015).
Limits on Interpretation
Nothing here establishes that broadband causes telehealth use, that any individual older adult with broadband used more telehealth, or that broadband brought untreated older adults into care, since the outcome counts only visits among people already in treatment.
References
Andersen, R. M. (1995). Revisiting the behavioral model and access to medical care: Does it matter? Journal of Health and Social Behavior, 36(1), 1-10. https://doi.org/10.2307/2137284
Benchimol, E. I., Smeeth, L., Guttmann, A., Harron, K., Moher, D., Petersen, I., Sørensen, H. T., von Elm, E., & Langan, S. M. (2015). The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement. PLOS Medicine, 12(10), Article e1001885. https://doi.org/10.1371/journal.pmed.1001885
Robinson, W. S. (1950). Ecological correlations and the behavior of individuals. American Sociological Review, 15(3), 351-357. https://doi.org/10.2307/2087176
What the HLTH 9101 Week 7 instructions ask for
Students write the findings chapter of their dissertation. Faculty expect results reported at the level where they were measured, with estimates, intervals and the covariates in each model stated clearly. The strongest chapters adopt a consistent rule, such as making the unit of analysis the subject of each sentence, to prevent claims from drifting to a different level. Adjusted and unadjusted estimates should both be shown so readers can see how much adjustment changed the result. Sensitivity analyses belong beside the main results. Faculty also value a closing paragraph that rules out tempting conclusions, which protects the discussion from overreach. Tables should carry notes on models and, for composite or illustrative work, should be labeled clearly.
How the HLTH 9101 Week 7 example is put together
The chapter opens with its grammatical rule and cites Robinson on ecological inference, labeling all estimates illustrative. A section describes the 2,961 counties and the distributions of exposure and outcomes. Table 1 reports unadjusted and adjusted differences for the telehealth, video and audio-only shares, with a model note. A paragraph reports each estimate with counties as the subject. A section on covariates uses Andersen's model to explain which enabling factors carried the adjustment. A sensitivity section reports the fractional logit model and the effect of excluding counties missing covariates. A reporting standard paragraph cites Benchimol and colleagues. It closes on three conclusions the reader should not draw.
HLTH 9101 Week 7 rubric: what earns full marks
The level of each claim is the first thing graders check in a findings chapter. Sentences that slip from counties to people claim something the study did not observe. Strong chapters hold the unit of analysis constant, report adjusted and unadjusted estimates with intervals and state the covariates. Graders value attention to how much adjustment changed the estimate, since that bears on interpretation. Sensitivity analyses reported beside the main results show the finding's stability. Naming the conclusions a reader should not draw earns credit for discipline. Clear table notes and accurate labeling of illustrative estimates are expected. Interpretation should be minimal, leaving argument to the discussion.
HLTH 9101 Week 7 help: mistakes that cost marks
Findings chapters often describe results in language that drifts toward people or causes: older adults with broadband used more telehealth, broadband increased use. To write a stronger chapter, choose the unit of analysis as the subject of every sentence and hold to it. Report each estimate with its interval, adjusted and unadjusted. Say which covariates are in each model. Put sensitivity results next to the main ones. End with a short list of what the findings do not show. Keep interpretation for the discussion. A findings chapter for your own results can be drafted to this rule. Reread each table note to confirm it names the model, the weights and the reference group, since readers often skip the prose and go straight to the numbers.
Get a HLTH 9101 Week 7 example written to your instructions
Include your model output, research questions and any sensitivity or diagnostic results, plus the Week 7 prompt and rubric. The chapter reports each estimate at the level it was measured, question by question, with sensitivity analyses beside the main result and open questions named for later. The first costs nothing; 24 to 48 hours. None of its estimates are real.
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HLTH 9101 Week 7 questions, answered
Why does the grammatical subject of a finding matter?
Because it decides what the sentence claims. Counties with higher subscription had a larger telehealth share is an ecological finding; older adults with broadband used more telehealth is an individual claim the data cannot support. The example makes counties the subject of every finding sentence. Check yours by underlining the subject of each result sentence and asking whether your data measured that unit.
Should sensitivity analyses appear in the findings chapter?
Yes, set next to the main result and written the same way, so readers can weigh one against the other. Interpretation of any difference waits for the discussion. The example reports a video-only analysis and a larger-county analysis next to the main estimate without explaining them. If your program prefers sensitivity analyses in an appendix, keep a sentence in the chapter pointing to them.
Where can I find a free HLTH 9101 Week 7 sample paper?
The full Week 7 findings write-up is published here, reporting a composite county analysis of broadband and older adults' behavioral telehealth with counties as the subject of every sentence, with three references.
Why make counties the subject of every sentence?
The study measured counties, not people. Associations across groups can differ from those among individuals, so a sentence about older adults with broadband would describe people the study never observed.
How much did adjustment change the main estimate?
In the illustrative results, counties with 10 points higher broadband subscription had a telehealth share 4.8 points higher before adjustment and 1.9 points higher after, so income, rurality, clinician supply and other covariates accounted for more than half.