| Course | HLTH 6205 Assessing Health and Wellness Needs for Communities |
|---|---|
| Week | Week 9 |
| Paper type | Needs assessment |
| Length | About 1,290 words, 7 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | MS in Health Education and Promotion |
| Updated | October 2026 |
Free sample paper for HLTH 6205 Week 9
Binge Drinking Among Adults Living in Calumet County, Wisconsin: A Community Needs Assessment Built From Published Estimates, an Appraisal of Sources, a Controlled Comparison and a Priority Ranking, With Its Method and Limits in View
Student Name
Walden University
HLTH 6205: Assessing Health and Wellness Needs for Communities
Instructor Name
Month Day, Year
Binge Drinking Among Adults Living in Calumet County, Wisconsin: A Community Needs Assessment Built From Published Estimates, an Appraisal of Sources, a Controlled Comparison and a Priority Ranking, With Its Method and Limits in View
Executive Summary
About one in five adults living in Calumet County, Wisconsin, reported at least one binge drinking occasion in a 30-day period in 2023, according to CDC's modeled county estimate of 20.4% (Centers for Disease Control and Prevention [CDC], 2025). Binge drinking is unusually common across the whole state: Wisconsin's direct survey estimate for the same year was 18.4%, against a median of 15.1% across states (CDC, 2026). The county estimate cannot be distinguished statistically from the state figure, because its interval is wide. Ranked against six other adult health measures on criteria fixed in advance, binge drinking placed first, narrowly ahead of cigarette smoking. No published source describes how often county adults binge drink, how much they drink or where; a draft survey and an interview plan were prepared to fill that gap but have not been carried out. The assessment documents the need and stops there.
Method
Population
The assessment covers people aged 18 or older whose usual residence lies inside Calumet County's boundary, including the county's portions of Appleton and Menasha. In 2023 that group numbered about 41,600 adults (CDC, 2025). A residence rule was chosen because county estimates of drinking exist only for residents; commuters, visitors and seasonal students are therefore outside the count even when they drink in the county.
Sources
Seven sources were appraised on the same five tests: whether each measures binge drinking or a direct consequence, whether it reports at the county level, how often it is collected, how recent its latest period is and whether it can be used without a data agreement. Two carried the analysis: PLACES, the only source with a county prevalence figure, and Wisconsin's Behavioral Risk Factor Surveillance System results, the reference. The American Community Survey supplied the population profile (U.S. Census Bureau, 2025). State hospital and death queries and the federal fatal crash census were kept for context, since county counts of alcohol-involved deaths are small and frequently suppressed. Regional drug use survey estimates, the state youth survey and a ranking site that repackages the same modeled figures were rejected, each for a stated reason.
Analysis
The analysis compared the county's crude estimate with four referents for one measure and one year: the state's direct estimate, the middle value among Wisconsin's 72 county estimates from the same model, the median of state estimates nationally and, for illustration only, the county's own age-adjusted figure. Each pair was checked for matching definition, year and method before any difference was read. Uncertainty was judged from published 95% intervals. Needs were then ranked using three weighted criteria, size, seriousness and local excess over the state, adapted from the basic priority rating model (Neiger et al., 2011).
Findings
The Population
Calumet County had 52,942 residents in the American Community Survey's 2020 to 2024 estimates. Its median household income of $88,810 exceeded Wisconsin's $77,485, its poverty rate of 5.9% was a little more than half the state's 10.6%, and the share of adults over 25 holding a bachelor's degree, 33.0%, matched the state almost exactly (U.S. Census Bureau, 2025). Adults aged 18 to 24 were a smaller slice of the county than of the state, 7.4% of all residents compared with 9.3%.
The Measure and Its Comparison
The county figure sits about two points above both the state estimate and the median county, but the county interval spans seven points and contains the state value, so the data do not show that county adults differ from Wisconsin adults generally. The gap from the national median, 5.3 points, lies outside the county's interval, yet most of it reflects Wisconsin's own position, since the state exceeds the median of states by 3.3 points. The county's modeled estimate rests on a statewide sample and on the county's demographic mix rather than on local respondents (Zhang et al., 2014); a validation study found such estimates close to locally collected ones for most measures (Wang et al., 2017), which supports using the figure while treating it as an estimate.
Table 1
Binge Drinking Among Adults, Calumet County and Referents, 2023
| Population and estimate | Prevalence, % | 95% interval | Source | |
|---|---|---|---|
| Calumet County, modeled crude | 20.4 | 17.1-24.1 | PLACES | |
| Wisconsin, direct survey | 18.4 | 17.4-19.5 | BRFSS | |
| Wisconsin counties, median of 72 modeled | 18.3 | Not applicable | PLACES | |
| States, median of direct estimates | 15.1 | Not applicable | BRFSS | |
Calumet ranks eighth of Wisconsin's 72 counties on the modeled crude estimate.
Who Binge Drinks, Statewide
County breakdowns are not published, so the state figures stand in. In Wisconsin in 2023, binge drinking was reported by 23.6% of men and 13.4% of women, and it peaked at ages 25 to 34, at 28.3%, falling to 6.5% at 65 and older (CDC, 2026). Nationally, people aged 35 and over accounted for half of all binge drinks even though younger adults were more likely to binge drink at all (Kanny et al., 2018). The assessment does not assume the county matches the state on these patterns; it reports them as the best available description.
Why the Measure Matters
Over 2015 to 2019, 12.9% of deaths at ages 20 to 64 nationwide were traced to excessive alcohol use (Esser et al., 2022). Roughly nine in ten binge drinkers fall short of dependence criteria (Esser et al., 2014), which means the need described here concerns a large share of ordinary adults rather than a small group in treatment.
Priority Among Adult Needs
Binge drinking ranked first because it combined a large affected share, serious consequences and the largest excess over the state of any measure. The lead hinges on how heavily local excess is weighted: at equal weight, smoking would edge ahead on the tie-break.
Table 2
Priority Ranking of Seven Adult Health Needs
| Need | Rank | Points | |
|---|---|---|
| Binge drinking | 1 | 26 | |
| Current cigarette smoking | 2 | 24 | |
| Obesity | 3 | 22 | |
| Ever told depression | 4 | 20 | |
| No leisure-time physical activity | 5 | 18 | |
| Frequent mental distress | 6 | 18 | |
| Loneliness | 7 | 16 | |
Size weighted 1, seriousness 2 and local excess 2; ties broken by seriousness, then by county share.
What Remains Unknown
No source reports the frequency or intensity of binge occasions among county adults, the settings in which they occur or how people travel home afterward. A twelve-item household questionnaire and a plan for 12 to 16 key informant conversations were drafted to address those questions. Neither has been fielded, both require ethics review first and no results from them appear in this document.
Limitations
Four limitations shape how the findings should be read. First, all drinking figures are self-reported, and surveys of alcohol use tend to undercount consumption. Second, the county figure is a model prediction whose assumptions cannot be checked from the published file, and its interval is wide. Third, the priority ranking depends on judgments about seriousness and on the weight given to local excess, and its top two places are close enough to reverse under a reasonable alternative weight. Fourth, the descriptions of who binge drinks come from statewide data and may not match the county.
Conclusion
The assessment establishes a need: binge drinking is reported by about a fifth of Calumet County adults, in a state where the behavior is well above the national pattern, and it ranks first among the adult health needs measured for the county under the stated criteria. It does not establish that the county exceeds the state, and it does not establish causes. Choosing how to respond would require evidence about effectiveness and feasibility that this assessment did not gather, so it ends with the need documented.
References
Centers for Disease Control and Prevention. (2025). PLACES: Local data for better health, county data, 2025 release [Data set]. https://data.cdc.gov/d/swc5-untb
Centers for Disease Control and Prevention. (2026). Behavioral Risk Factor Surveillance System (BRFSS) prevalence data (2011 to present) [Data set]. https://data.cdc.gov/d/dttw-5yxu
Esser, M. B., Hedden, S. L., Kanny, D., Brewer, R. D., Gfroerer, J. C., & Naimi, T. S. (2014). Prevalence of alcohol dependence among US adult drinkers, 2009-2011. Preventing Chronic Disease, 11, Article E206. https://doi.org/10.5888/pcd11.140329
Esser, M. B., Leung, G., Sherk, A., Bohm, M. K., Liu, Y., Lu, H., & Naimi, T. S. (2022). Estimated deaths attributable to excessive alcohol use among US adults aged 20 to 64 years, 2015 to 2019. JAMA Network Open, 5(11), Article e2239485. https://doi.org/10.1001/jamanetworkopen.2022.39485
Kanny, D., Naimi, T. S., Liu, Y., Lu, H., & Brewer, R. D. (2018). Annual total binge drinks consumed by U.S. adults, 2015. American Journal of Preventive Medicine, 54(4), 486-496. https://doi.org/10.1016/j.amepre.2017.12.021
Neiger, B. L., Thackeray, R., & Fagen, M. C. (2011). Basic priority rating model 2.0: Current applications for priority setting in health promotion practice. Health Promotion Practice, 12(2), 166-171. https://doi.org/10.1177/1524839910393281
U.S. Census Bureau. (2025). American Community Survey 5-year estimates, 2020-2024 [Data set]. https://data.census.gov/
Wang, Y., Holt, J. B., Zhang, X., Lu, H., Shah, S. N., Dooley, D. P., Matthews, K. A., & Croft, J. B. (2017). Comparison of methods for estimating prevalence of chronic diseases and health behaviors for small geographic areas: Boston validation study, 2013. Preventing Chronic Disease, 14, Article E99. https://doi.org/10.5888/pcd14.170281
Zhang, X., Holt, J. B., Lu, H., Wheaton, A. G., Ford, E. S., Greenlund, K. J., & Croft, J. B. (2014). Multilevel regression and poststratification for small-area estimation of population health outcomes: A case study of chronic obstructive pulmonary disease prevalence using the Behavioral Risk Factor Surveillance System. American Journal of Epidemiology, 179(8), 1025-1033. https://doi.org/10.1093/aje/kwu018
What the HLTH 6205 Week 9 instructions ask for
The ninth week brings the needs assessment itself, absorbing the profile, source appraisal, secondary analysis, any primary data plan and the priority ranking into one report. The document reads as a report, with an executive summary at the front, a method section detailed enough for another person to repeat the work, findings sections and a separate limitations section. Earlier material should be rewritten into one voice, not pasted, and tables renumbered into a single sequence. Prompts typically ask for a clear statement of the population and how it was defined, which sources were used and why, and how comparisons were made. Appendices may hold the source table or instrument. The conclusion should state the documented need without proposing a program, since responses rest on different evidence. References cover every data source and study used, in APA.
How the HLTH 6205 Week 9 example is put together
The report opens with a summary that states the county estimate, the state and national comparison, the ranking and the unfilled data gap in about 150 words. Method sections define the residence rule, describe the seven sources appraised and the two that carried the analysis, and explain the comparison and ranking procedures. Findings begin with the population profile from the ACS, then a renumbered comparison table and a paragraph on overlapping intervals and the state's own position. Statewide figures by sex and age stand in for county breakdowns, with a caution. National mortality and dependence data explain why the measure matters. A second table shows the ranking. A short section reports the drafted survey and interviews as unfielded. Four limitations are grouped together, and the conclusion documents the need and stops.
Where the marks sit in the HLTH 6205 Week 9 rubric
Integration is what this long document is graded on. Faculty can tell quickly whether sections were rewritten into one voice or stapled together, and a report with shifting tone, two numbering schemes or repeated passages scores below its own parts. The method section draws the next largest share because it makes every finding checkable; vague descriptions of sources or analysis cost marks. Findings are judged on accuracy and on keeping measurements separate from readings. Limitations earn real credit when collected in one place and interpreted, not scattered as apologies. The conclusion is graded for discipline: an assessment that begins proposing interventions has moved beyond its evidence. An executive summary usable by a reader with five minutes adds value. Consistent APA references and in-text citations complete the evaluation.
Common HLTH 6205 Week 9 mistakes, and how to avoid them
Needs assessments are often returned because earlier assignments were pasted in with their old headings, tones and table numbers intact. Another common problem is a method section that names sources but never explains how they were chosen or combined. Many students also end with a program recommendation, which crosses into planning. To avoid this, outline the report first, then rewrite each earlier piece to fit its section. Renumber all tables and figures in one sequence. Describe your method as steps someone else could follow. Gather every limitation into one section and say how each affects the findings. End with the need you documented. If you want an integrated needs assessment for your own population and health problem, our team can write one from your earlier assignments or from public data.
Get a HLTH 6205 Week 9 example written to your instructions
Send the full prompt and the rubric and a sample assessment comes back within 24-48h, free on a first request, at the section length and structure being graded. The community in your document is yours, and so is every figure about it; the sample is built around an invented population and describes no real place at all.
More HLTH 6205 papers and MS in Health Education and Promotion samples
- HLTH 6205 Week 1: Population Boundary Discussion Post
- HLTH 6205 Week 2: Calumet County Community Profile
- HLTH 6205 Week 3: Binge Drinking Data Source Review
- HLTH 6205 Week 4: County Binge Drinking Comparison
- HLTH 6205 Week 5: Drinking Patterns Survey Instrument
- HLTH 6205 Week 6: Age Structure Comparison Peer Reply
- HLTH 6205 Week 7: Key Informant Interview Plan
- HLTH 6205 Week 8: Adult Needs Prioritization Brief
- HLTH 6205 Week 10: Binge Drinking Findings Report
- HLTH 6205 Week 11: Needs Assessment Summary Paragraph
- HLTH 6112 Week 9: License Suspension Case Analysis
- HLTH 6110 Week 9: Portfolio Section Example
- HLTH 6051 Week 9: Opposition Analysis Paper
- HLTH 6038 Week 9: Theory Boundary Post
HLTH 6205 Week 9 questions, answered
Where can I find a free HLTH 6205 Week 9 sample paper?
A full Week 9 needs assessment on binge drinking among Calumet County adults, with an executive summary, method, two tables and nine references, is on this page.
What does the HLTH 6205 Week 9 assessment conclude?
That about a fifth of county adults binge drink in a state well above the national pattern and that the behavior ranks first among measured adult needs, without proving the county exceeds the state.
How much can be reused from earlier weeks?
The findings draw on every earlier week, but each piece is rewritten into one voice with renumbered tables, as the course expects.
Where do limitations belong in the needs assessment?
In one section of their own; the example groups four limitations on self-report, modeling, ranking weights and statewide breakdowns.
Does the Week 9 assessment recommend a program?
No. It ends with the documented need, noting that choosing a response would require evidence on effectiveness and feasibility it did not collect.