HLTH 6205 Week 3 Binge Drinking Data Source Review Example

Assessing Health and Wellness Needs for Communities Walden University Free custom sample in 24 to 48h

This HLTH 6205 Week 3 data source review example weighs seven candidate sources for one question, how common binge drinking is among adults who live in Calumet County, Wisconsin, and sorts them into sources that carry the assessment, sources for context and sources rejected. Walden HLTH 6205 treats this deliverable as an appraisal, and the example shows the kind of judgment the MS in Health Education and Promotion expects. Five criteria are written before the table: what each source measures, its finest geography, frequency, latest period and access. PLACES and Wisconsin's BRFSS results carry the weight; the American Community Survey, state death and hospital queries and the federal crash census supply context; regional drug use estimates, the youth survey and a ranking site are rejected, each with a reason. The review ends on the gap no source fills.

CourseHLTH 6205 Assessing Health and Wellness Needs for Communities
WeekWeek 3
Paper typeData source review
LengthAbout 700 words, 5 pages
FormatAPA 7 student paper
SchoolWalden University
ProgramMS in Health Education and Promotion
UpdatedOctober 2026

Free sample paper for HLTH 6205 Week 3

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Seven Sources Weighed for One Question: Which Data Can Carry a Binge Drinking Assessment of Calumet County Adults, Which Supply Context Only and Which Were Rejected, With the Reason for Each

Student Name

Walden University

HLTH 6205: Assessing Health and Wellness Needs for Communities

Instructor Name

Month Day, Year

What this page is doingThe title commits to an appraisal with three verdicts rather than a list, which is the distinction this review is graded on.
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Seven Sources Weighed for One Question: Which Data Can Carry a Binge Drinking Assessment of Calumet County Adults, Which Supply Context Only and Which Were Rejected, With the Reason for Each

The Question and the Criteria

The question is how common binge drinking is among adults who live in Calumet County, Wisconsin, and how that compares with a fair reference group. Every candidate source was judged on the same five criteria: whether it measures binge drinking or a direct consequence of it, whether its finest published geography reaches the county, how often it is collected, how old its latest reference period is, and whether a student analyst can use it without a data agreement. A source had to pass the first two criteria to carry weight in the assessment.

What this page is doingWriting the criteria before the table keeps the same standard on every source, including the ones the writer hoped to use.
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The Sources

Table 1

Candidate Sources Appraised Against Five Criteria

Source and producerWhat it measuresFinest geographyFrequencyLatest period usedAccess |
PLACES, CDCModel-based prevalence of binge drinking and 39 other measuresCounty, place, tractAnnual release2023 survey dataOpen |
BRFSS state estimates, CDC and Wisconsin DHSDirect survey prevalence of binge drinking, by age, sex, incomeStateAnnual2023Open |
American Community Survey, Census BureauAge, income, education, poverty; no drinking measuresCounty and belowAnnual, 5-year pooled2020-2024Open |
NSDUH substate estimates, SAMHSABinge alcohol use and alcohol use disorderSubstate regions that group several countiesPooled yearsTwo pooled survey yearsOpen |
WISH query system, Wisconsin DHSDeaths and hospital encounters by causeCountyAnnualVaries by moduleOpen, with small-count suppression |
Fatality Analysis Reporting System, NHTSAFatal crashes, including driver blood alcohol resultsCrash location, countyAnnual censusMost recent final yearOpen |
Wisconsin Youth Risk Behavior Survey, DPIStudent drinking and binge drinkingState and some regionsEvery two yearsMost recent cycleOpen |

Criteria and judgments are the reviewer's; descriptions summarize each producer's published documentation.

Sources That Will Carry the Assessment

Two sources carry the weight. PLACES is the only source that reports binge drinking prevalence for Calumet County itself: 20.4% of adults in 2023, with a 95% interval of 17.1% to 24.1% (Centers for Disease Control and Prevention [CDC], 2025). Its limitation is that the county figure is not counted from county respondents; it is predicted from a statewide model using each county's age, sex and race mix and county-level covariates (Zhang et al., 2014). Validation against a locally run survey found the method reproduces direct estimates reasonably well for most measures (Wang et al., 2017), but the assessment will treat the county figure as an estimate with a wide interval, not as a count.

The state BRFSS results are the reference. Wisconsin's 2023 prevalence was 18.4%, with an interval of 17.4% to 19.5%, and the same release breaks it down by age, sex, education and income (CDC, 2026). Because PLACES is built from the same survey, the two are closer relatives than any other pair in the table.

Sources Supplying Context Only

The American Community Survey measures nothing about drinking but describes the population whose drinking PLACES estimates, so it will supply denominators and the composition profile (U.S. Census Bureau, 2025). WISH and the crash census describe consequences rather than the behavior. They are useful for showing what binge drinking costs, but county counts of alcohol-involved deaths in a county of 53,000 are small, often suppressed and too unstable to rank the county against others in a single year.

Sources Rejected

The NSDUH substate estimates were rejected because their regions combine Calumet with other counties, so a regional figure would describe a different population. The youth survey was rejected because the assessment's population starts at 18. County Health Rankings was considered and set aside because its excessive drinking measure is a modeled figure built on the same state survey, so citing both would present one survey as two pieces of evidence.

What the Review Leaves Open

No source reports how often county adults binge drink, how many drinks they have, or where. PLACES gives prevalence only, while national analyses show frequency and intensity carry much of the burden (Kanny et al., 2018). That gap is the reason for the instrument and interview plan in later weeks.

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

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

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

HLTH 6205 Week 3 instructions, in plain terms

The third week asks students to appraise the data sources available for their population and question, not just list them. Each candidate source is described by what it measures, who collects it, how often, the finest geography it publishes, the most recent reference period and any access restrictions. A table usually holds that description. The judgment comes after: which sources will carry the assessment, which supply context only and which are rejected. Criteria must be applied evenly to every source, including ones the writer hoped to use. Students are expected to name rejected sources and give reasons, since a review listing only usable sources hides the work. The best reviews close by stating what no source reports, which sets up the primary data weeks. References follow APA, with data sets cited by producer, year and link.

How this HLTH 6205 Week 3 example is built

The sample begins with the question and five criteria, and states that a source must pass the first two to carry weight. A seven-row table describes PLACES, state BRFSS estimates, the American Community Survey, NSDUH substate estimates, the WISH query system, the Fatality Analysis Reporting System and the Wisconsin Youth Risk Behavior Survey. The verdict sections follow. PLACES carries the county figure, with its modeled nature and validation evidence explained. State BRFSS results serve as the reference because they come from the same survey. The ACS supplies denominators, while death, hospital and crash data describe consequences too small to rank in one year. Regional estimates, the youth survey and County Health Rankings are rejected for mismatched geography, age range and double counting. A closing paragraph identifies the missing frequency, intensity and setting data.

HLTH 6205 Week 3 rubric: what earns full marks

Appraisal is what faculty reward here. A row that describes what a source contains is half the task; the other half states whether it is fit for this population and question. Graders watch for consistent criteria and notice when a writer relaxes the standard for a favored source. Significant credit goes to the verdict sections, especially the separation of sources that carry weight from those that only supply context, which weaker reviews blur. Rejections with reasons earn their own marks. Accuracy matters: the finest geography and latest period should match what the producer publishes. The closing statement of what remains unmeasured shows foresight and links to later weeks. A clear table, plain prose and APA references for every data set round out the evaluation for this assignment.

HLTH 6205 Week 3 help from the desk

Reviews usually lose marks for reading like annotated bibliographies, describing each source without ever judging whether it works. Others accept every source, which signals the criteria were never applied. A third common problem is overlooking that two sources draw on the same survey, so one estimate is counted twice. Before writing, set your criteria in a short list and decide which ones a source must pass to carry weight. Fill the table from each producer's own documentation. Write the verdicts in three groups and give one reason per source. Check whether any two sources share an origin. Finish with the questions none of them answer. If you would like a source review for your own population and question, our team can prepare one using the data available in your state.

Get a HLTH 6205 Week 3 example written to your instructions

Upload the prompt and rubric and a sample review returns within 24-48h, free on a first request, with the table columns and verdict sections your section is looking for. Which sources exist for your county and how recently each was refreshed is local knowledge, so the model demonstrates appraisal on named source types and the search itself stays in your hands.

More HLTH 6205 papers and MS in Health Education and Promotion samples

HLTH 6205 Week 3 questions, answered

Where can I find a free HLTH 6205 Week 3 sample paper?

This page contains the complete Week 3 review of seven data sources for a Calumet County binge drinking assessment, with an appraisal table and six references.

Which sources carry the HLTH 6205 Week 3 assessment?

CDC's PLACES, the only source with a county binge drinking estimate, and Wisconsin's BRFSS results, which serve as the reference because they come from the same survey.

Why are NSDUH substate estimates rejected?

Their regions group Calumet County with other counties, so a regional figure would describe a different population from the one the assessment defined.

Why is County Health Rankings set aside?

Its excessive drinking measure is a modeled figure built on the same state survey, so citing it alongside PLACES would present one survey as two separate pieces of evidence.

What gap does the review find?

No source reports how often county adults binge drink, how many drinks they have or where, which is the reason for the survey and interview plans later in the course.