| Course | HLTH 6207 Grant Writing |
|---|---|
| Week | Week 3 |
| Paper type | Need statement |
| Length | About 550 words, 5 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | MS in Health Education and Promotion |
| Updated | October 2026 |
Free sample paper for HLTH 6207 Week 3
Need Statement: Older Homeowners in Aitkin County, Minnesota, Heat With Propane and Wood at Five to Seven Times the State Rate, While the Alarms Bought to Meet the State's 2006 Law Have Aged Past Their Makers' Replacement Dates
Student Name
Walden University
HLTH 6207: Grant Writing
Instructor Name
Month Day, Year
Need Statement: Older Homeowners in Aitkin County, Minnesota, Heat With Propane and Wood at Five to Seven Times the State Rate, While the Alarms Bought to Meet the State's 2006 Law Have Aged Past Their Makers' Replacement Dates
The Population and Place
The project serves owner-occupied homes in Aitkin County, Minnesota, in which at least one resident is 62 or older. Aitkin County had 16,056 residents according to the five-year ACS for 2020 through 2024, and 34.4% of them were 65 or older, almost exactly twice the Minnesota share of 17.3% (U.S. Census Bureau, 2025). Of the county's 6,160 owner-occupied households, 3,053, or 49.6%, are headed by someone 65 or older, against 29.4% of owner households statewide.
The Exposure Older Residents Live With
Carbon monoxide comes from burning fuel, and Aitkin County homes burn far more of it inside the walls than Minnesota homes generally.
Propane heat is five times as common in the county as in the state, and wood heat seven times as common. Manufactured homes make up 10.6% of the county's housing units against 2.9% statewide (U.S. Census Bureau, 2025).
Table 1
House Heating Fuel, Occupied Housing Units, Aitkin County and Minnesota, ACS 2020-2024
| Primary heating fuel | Aitkin County, % | Minnesota, % | |
|---|---|---|
| Bottled, tank or LP gas | 52.9 | 10.8 | |
| Wood | 11.2 | 1.6 | |
| Utility gas | 12.8 | 65.1 | |
| Fuel oil or kerosene | 2.0 | 1.3 | |
| Electricity | 18.7 | 19.4 | |
Source: U.S. Census Bureau, table B25040. Shares do not sum to 100 because minor fuels are omitted.
Why Age Matters for This Hazard
National death certificate data from 1999 to 2012 recorded an average of 438 unintentional, non-fire carbon monoxide deaths a year; 54% occurred in a home, and the age-specific death rate was highest among people 85 and older, at 6.00 per million (Sircar et al., 2015). Deaths are the smallest part of the burden: an estimated 2,800 people are hospitalized each year and about 6,600 are left with lasting cognitive effects (Hampson, 2016). Unintentional deaths rose from 2015 to 2021, reaching 543 in 2021, the first rise in four decades (Hampson, 2023).
The Gap a Law Did Not Close
Minnesota already requires an approved, working carbon monoxide alarm within ten feet of every room used for sleeping in every single-family home (Minn. Stat. § 299F.51). The requirement dates from 2006, so alarms bought to meet it are now close to two decades old. Federal safety guidance states that each alarm has a recommended replacement age set by its manufacturer and that pressing the test button checks the circuitry, not whether the sensor still detects gas (U.S. Consumer Product Safety Commission [CPSC], n.d.). A law cannot replace an aging sensor. A national analysis found no evidence that state laws requiring residential alarms reduced accidental deaths (Hampson, 2023), and a large survey of emergency department patients in England found that one in five alarm owners had never tested theirs (Jarman et al., 2025). No source reports how many Aitkin County homes have a working, in-date alarm near every bedroom; the project's first visits would measure it.
The Boundary of This Section
This statement documents the exposure, the population's vulnerability and the gap left by an existing law. It does not estimate how many county residents have been poisoned, because county counts of such events are too small to publish reliably.
References
Hampson, N. B. (2016). Cost of accidental carbon monoxide poisoning: A preventable expense. Preventive Medicine Reports, 3, 21-24. https://doi.org/10.1016/j.pmedr.2015.11.010
Hampson, N. B. (2023). Carbon monoxide poisoning mortality in the United States from 2015-2021. Clinical Toxicology, 61(7), 483-491. https://doi.org/10.1080/15563650.2023.2237667
Jarman, H., Atkinson, R. W., & Machado, M. (2025). Carbon monoxide alarm ownership and maintenance in patients attending the emergency departments: A cross-sectional study. Journal of Public Health, 47(4), 791-797. https://doi.org/10.1093/pubmed/fdaf091
Requirements for carbon monoxide alarms, Minn. Stat. § 299F.51 (2025).
Sircar, K., Clower, J., Shin, M. K., Bailey, C., King, M., & Yip, F. (2015). Carbon monoxide poisoning deaths in the United States, 1999 to 2012. American Journal of Emergency Medicine, 33(9), 1140-1145. https://doi.org/10.1016/j.ajem.2015.05.002
U.S. Census Bureau. (2025). American Community Survey 5-year estimates, 2020-2024 [Data set]. https://data.census.gov/
U.S. Consumer Product Safety Commission. (n.d.). Carbon monoxide questions and answers. https://www.cpsc.gov/Safety-Education/Safety-Education-Centers/Carbon-Monoxide-Information-Center/Carbon-Monoxide-Questions-and-Answers
The Walden HLTH 6207 Week 3 instructions
The third week asks for the need section of the proposal. It names the population and geography exactly, a county or service area rather than a state, and builds from local figures, each attributed to the body that published it and dated, with denominators visible. Comparison does the persuading: local figures sit beside state or national figures from the same source and period. National evidence may explain why the problem matters for the population, but local data carry the argument. The section should identify a gap the project will fill and stop at the boundary the announcement drew, without describing the program, which belongs in later sections. Instructors expect almost every sentence to carry a citation. The section is short and dense, often under two pages. Sources are listed in APA format.
How this HLTH 6207 Week 3 example is built
The sample opens with the county's population and the share aged 65 or older against Minnesota's, then the number and share of owner households headed by older adults. A table compares five heating fuels for the county and state from ACS table B25040, followed by a sentence on manufactured homes. National evidence follows in one paragraph: Sircar and colleagues on average annual deaths, home location and the highest rate among the oldest adults, Hampson on hospitalizations and lasting cognitive effects, and the recent rise in accidental deaths. The gap section quotes the state's ten-foot alarm requirement, adds federal guidance on replacement ages and test buttons, and cites findings that alarm laws showed no detectable effect on deaths and that many owners never test. A closing paragraph explains why county poisoning counts are omitted.
Reading the HLTH 6207 Week 3 rubric
Need statements are graded first on the precision of their local evidence. A section that describes a named county with dated, attributed figures earns far more than one built on national statistics alone. Comparison carries much of the persuasive weight, so local figures should sit beside state or national figures from the same source and year. Faculty credit a clearly stated gap that the project is designed to fill, and they deduct when the section drifts into describing the program. Accuracy matters: denominators, years and units must match the sources. National evidence earns credit when it explains why the population is at risk rather than padding the section. Concise writing is valued because reviewers read many need sections. APA references for each data set, study and statute complete the requirements.
HLTH 6207 Week 3 help from the desk
Need sections often lose points by opening with national numbers and never reaching the place the project serves. Another common problem is stating figures without a year or source, which reviewers cannot verify. Some writers also describe their solution in the need section, blurring two parts of the proposal. Start with one sentence naming the population and geography exactly. Pull local figures from the American Community Survey or a state data system, recording the table and year. Set each beside the state figure from the same source. Add national evidence only to explain risk. Name the gap your project fills in one paragraph and stop. If you need a need statement drawn from real local data for your own proposal, our team can research and write one.
Get a HLTH 6207 Week 3 example written to your instructions
The Week 3 instructions and the rubric your classroom posted are the inputs, and the first custom sample written against them is free, back inside 24-48h. Naming the county or service area your prompt fixes lets the example build on that geography instead of a generic one. Grant material an employer holds stays the employer's; none of it gets reproduced here.
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HLTH 6207 Week 3 questions, answered
Where can I find a free HLTH 6207 Week 3 sample paper?
This page holds a complete Week 3 need statement for a carbon monoxide alarm project in Aitkin County, with a heating fuel table and seven references.
What local figures does the HLTH 6207 Week 3 example use?
ACS 2020 to 2024 figures showing 34.4% of residents aged 65 or older, 52.9% of homes heated with bottled gas and 11.2% with wood, against 17.3%, 10.8% and 1.6% statewide.
Why does age matter for carbon monoxide poisoning?
National death data from 1999 to 2012 show the highest age-specific death rate among people 85 and older, 6.00 per million, with most deaths occurring at home.
Does Minnesota already require carbon monoxide alarms?
Yes. State law requires a working alarm within ten feet of every room used for sleeping, but alarms bought after the 2006 law are now close to two decades old.
What gap does the need statement identify?
No source reports how many county homes have a working, in-date alarm near each bedroom, and test buttons cannot show whether an aging sensor still detects gas.