MPH 505 Module 1 Community Needs Assessment Example

Reviewed by Douglas Renshaw, MBA Aspen University Updated September 2026

This MPH 505 Module 1 sample paper reports a community health needs assessment for a composite Southwestern county of 240,000 residents, 58% of them Hispanic. Public Health Education and Program Oversight, a course in Aspen University's Master of Public Health program, teaches students to plan, build and evaluate an intervention around one population's needs. The assessment combines census and behavioral risk survey data, health center records, a household survey of 612 adults, four focus groups and twelve leader interviews. An indicator table shows county diabetes at 13.8% against 10.9% statewide. Only 9% of survey respondents knew the word prediabetes. After scoring five candidate problems, the team chose undiagnosed prediabetes among Spanish-speaking adults on the south side, an estimated 9,000 people, and linked the work to the assessment function of public health.

CourseMPH 505 Public Health Education and Program Oversight
ModuleModule 1
Paper typeCommunity needs assessment
LengthAbout 1,076 words, 6 pages
FormatAPA 7 student paper
SchoolAspen University
ProgramMaster of Public Health
UpdatedSeptember 2026

Free sample paper for MPH 505 Module 1

1

Finding the Need: A Community Health Needs Assessment for Prediabetes in a Border County

Student Name

Master of Public Health Program, Aspen University

MPH 505: Public Health Education and Program Oversight

Instructor Name

Month Day, Year

What this page is doingThe title names the method and the health problem the assessment settled on. APA 7 student title page.
2

Finding the Need: A Community Health Needs Assessment for Prediabetes in a Border County

Every sound public health education program begins with a clear picture of the people it will serve. A needs assessment gathers data on health problems, their causes and the resources a community already has, then uses that evidence to choose a focus. This paper reports a needs assessment for a composite Southwestern county of 240,000 residents, conducted to select the population and problem for a new health education program run by the county health department.

Purpose and Scope

The health department had funding for one new program over three years and wanted to direct it where need was greatest and where education could make a measurable difference. The assessment team, two epidemiologists, a health educator and three community health workers, set out to answer three questions: which chronic conditions carry the heaviest local burden, which groups carry more than their share, and what assets could support a program.

Assessment Methods

The team combined secondary data with new primary data. Secondary sources included census and American Community Survey estimates, the state's behavioral risk survey, hospital discharge data and records from the county's two federally qualified health centers. Primary data came from a household survey of 612 adults, four focus groups and interviews with twelve leaders from churches, schools, clinics and employers. A study of exemplary community health improvement processes found that small-area census data and clear, measurable objectives are hallmarks of strong assessments, advice the team followed (Stoto et al., 2019).

What this page is doingMixing numbers with community voice shows the grader that the assessment captured both burden and context.
3

Population Profile

The county is 58% Hispanic, and 31% of adults speak Spanish at home. Median household income is about 20% below the state figure, 17% of adults lack health insurance and the largest employers are agriculture, food processing and retail. Two neighborhoods on the county's south side have the highest poverty rates and the fewest primary care clinics.

What the Data Showed

The table summarizes the main indicators the team compared.

IndicatorCountyStateSource
Adults told they have diabetes13.8%10.9%Behavioral risk survey
Adults with obesity36%31%Behavioral risk survey
Diabetes hospitalizations per 10,0002417Discharge data
Clinic patients with elevated A1C and no diagnosis19%Not availableHealth center records
Adults reporting no leisure-time activity29%23%Behavioral risk survey

Survey Findings

In the household survey, 41% of Spanish-speaking respondents said they had never had a blood sugar test, compared with 22% of English-speaking respondents. Only 9% of respondents had heard the word prediabetes. More than half named cost of healthy food and lack of time as barriers to eating well, and many women said they did not feel safe walking in their neighborhoods after dark.

Focus Group Themes

Four themes emerged. Participants saw diabetes as almost inevitable in their families. Many feared insulin and amputation but did not know that the disease could be delayed. Family meals were central to daily life, so change had to involve the household. And participants trusted promotoras and church leaders more than clinic staff for health advice.

Community Assets

The assets inventory counted 14 churches with meeting halls, a network of 22 trained community health workers, two health centers offering sliding-scale fees, a school district with walking tracks open to the public and a Spanish-language radio station with a popular morning health segment. These assets suggested that a program could be delivered in trusted places without building new infrastructure.

Setting Priorities

The team scored five candidate problems, diabetes, childhood asthma, unintentional injury, depression and teen pregnancy, on burden, disparity, preventability, community concern and fit with available resources. Diabetes prevention among Spanish-speaking adults scored highest on every criterion except community concern, where it tied with depression.

Why Prediabetes

Focusing on prediabetes rather than diagnosed diabetes offered the greatest chance of prevention. A landmark trial showed that an intensive lifestyle program cut the development of type 2 diabetes by 58% over about three years in adults at high risk, a larger reduction than metformin achieved (Diabetes Prevention Program Research Group, 2002). The same approach now runs at thousands of community sites nationwide, where participants who attend more sessions lose more weight (Ely et al., 2017). An education program could therefore change the course of disease for many residents before complications began.

Selected Population

The program will serve Spanish-speaking adults aged 30 to 70 in the county's south side who have prediabetes or risk factors such as overweight, a family history of diabetes or a history of gestational diabetes. The team estimated that roughly 9,000 adults in the target area meet these criteria, most of them unaware of their risk.

Limitations

The household survey used a convenience sample drawn partly through churches and may overrepresent people connected to faith communities. Behavioral risk survey estimates for a single county carry wide confidence intervals. Health center records cover only patients who come to the clinics. The team treated each source as partial and looked for agreement across them.

Link to the Core Functions

In practice, a needs assessment carries out public health's assessment function and the essential service of monitoring the population's health. The findings will now guide policy development, in the form of a program plan, and assurance, through delivery and evaluation. Sharing the results with residents also fulfills the essential service of informing and educating the public.

Sharing the Findings

Before choosing a focus, the team presented its draft findings at three community meetings held in Spanish, one in a church hall, one at a health center and one at a school. About 140 residents attended. Their comments confirmed the diabetes finding and added a point the data had missed: many adults worked two jobs and could attend only in the evening or on weekends. That detail later shaped when classes were scheduled.

Ethics of Assessment

Survey participants gave verbal consent, no names were recorded and focus group notes were stored without identifiers. Community health workers conducted interviews in Spanish so that residents with limited English could take part. The team also committed to returning results to the community, since assessments that take information without giving anything back erode trust in future work.

Conclusion

The assessment pointed clearly toward prediabetes among Spanish-speaking adults on the county's south side: the burden is high, the gap with the state is wide, awareness is low and trusted community assets exist to reach people. The next step is to choose a planning model and build a program around what residents said about family, trust and barriers.

References

Diabetes Prevention Program Research Group. (2002). Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. New England Journal of Medicine, 346(6), 393-403. https://doi.org/10.1056/NEJMoa012512

Ely, E. K., Gruss, S. M., Luman, E. T., Gregg, E. W., Ali, M. K., Nhim, K., Rolka, D. B., & Albright, A. L. (2017). A national effort to prevent type 2 diabetes: Participant-level evaluation of CDC's National Diabetes Prevention Program. Diabetes Care, 40(10), 1331-1341. https://doi.org/10.2337/dc16-2099

Stoto, M. A., Davis, M. V., & Atkins, A. (2019). Making better use of population health data for community health needs assessments. eGEMs, 7(1), Article 44. https://doi.org/10.5334/egems.305

Reading the MPH 505 Module 1 assignment instructions

Aspen's catalog says MPH 505 prepares students to plan, develop and evaluate a public health intervention program based on a specific population's needs, and because the opening module's wording is kept inside the classroom, this sample starts where any program must: with a needs assessment. Such assignments usually ask you to describe a population, gather secondary and primary data, identify assets as well as problems, and justify a priority. Find out whether your instructor wants a real community, which is common, and whether primary data collection is expected or can be described as planned. County health profiles, behavioral risk survey tables and census tools give you secondary data quickly. Explain how you would reach residents who rarely answer surveys.

Inside the MPH 505 Module 1 example

The sample totals a little over 1,000 words across fifteen headings and includes a four-column indicator table comparing county and state figures. It explains the purpose and scope, the mixed methods used, the population profile, survey findings, focus group themes and community assets. Priority scoring, the case for focusing on prediabetes, the selected population, limitations, the link to public health's core functions, how findings were shared and the ethics of assessment follow. The side comment beside the methods section explains why pairing statistics with residents' own words gives a truer picture than either source alone. The conclusion names the chosen problem and population and previews the planning stage that comes next. Each section is kept short so the reader can follow the logic from data to decision.

Where the marks sit in the MPH 505 Module 1 rubric

A needs assessment is typically marked on the quality and range of data, accurate description of the population, identification of assets, a transparent method for choosing a priority and honest discussion of limits. This sample draws on a published study of exemplary community health improvement processes and the landmark diabetes prevention trial, both referenced in APA style, alongside composite local data. The indicator table and survey figures show command of the numbers. The assets section shows that the assessment looked beyond deficits. Priority scoring against five named criteria makes the choice defensible. A limitations section and an ethics section complete the picture, and both are areas where graders often look for maturity.

MPH 505 Module 1 help: mistakes that cost marks

Many students present a list of statistics without explaining which ones matter or why a single priority was chosen. Another common gap is describing only problems and missing community strengths, which later become the delivery channels for a program. Some papers also rely on state data when county or neighborhood figures exist. Name each data source and its year, and explain any gaps. If you are unsure how to score competing priorities, our tutoring team can help you set up simple criteria and apply them fairly. Remember that the priority you pick here will carry through the rest of the course, so choose a problem you can build a full program around.

Write yours, or have the desk draft it

This paper is an original model document written by our desk, not a submitted student paper and not an official Aspen University document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.

More MPH 505 and Master of Public Health sample papers

MPH 505 Module 1 questions, answered

What does MPH 505 Module 1 usually ask for?

Aspen's MPH 505 asks students to plan a program based on a specific population's needs, so a needs assessment is a typical first assignment. Follow the prompt in your classroom.

What data sources are used in a community needs assessment?

Census and survey estimates, hospital and clinic data, vital statistics, and primary data such as household surveys, focus groups and interviews.

How do you choose a priority from a needs assessment?

Score candidate problems on criteria such as burden, disparity, preventability, community concern and available resources.

Where can I find a free MPH 505 Module 1 sample paper?

Scroll up for the full prediabetes needs assessment and its county-versus-state indicator table. All eight MPH 505 samples here follow that one program from start to finish.

What goes into a community needs assessment in MPH 505 Module 1?

A population profile, secondary and primary data, community assets, a method for setting priorities, the chosen problem and population, and the limits of the data.