Grant proposal preparation: disparities and trial design
The purpose is collecting utilisation data to support a future grant, which makes the design section the deliverable. A described service with no measurement plan cannot support a proposal.
Editorial process
Last reviewed · August 15, 2026
A grant proposal needs a design, not a description
Read why the trial exists. You are an office manager offering ancillary services at no cost, and the stated reason is that you need utilisation data to begin preparing a grant proposal. That makes the measurement design the point of the assignment rather than an appendix to it — a funder will ask what you measured, over what period, against what, and a description of a well-intentioned service answers none of it. Start from the two disparities, chosen from your own community and evidenced with local data rather than national averages, since a grant reviewer will check whether the need is demonstrated in the place you are proposing to work rather than in the country generally. The brief's example of childhood obesity shows the expected shape: name the disparity, explain it in a paragraph, then name the service that addresses it. Two paragraphs, two services, and the pairing has to be obvious.
The design question is where the marks concentrate. Accurately capturing utilisation means deciding who is eligible, how uptake is recorded, what the denominator is, and how you distinguish a person from a visit — because a service seeing one hundred visits from twenty people is a very different finding from one hundred distinct users. Decide in advance what counts as a completed episode, how you handle people who attend once and do not return, and what baseline you will compare against, whether that is the pre-trial period, a comparable clinic, or the eligible-but-unreached population. The graphic requirement is not decoration either: a flow diagram showing eligible, offered, taking up and completing is exactly the figure Gordis chapter 17 models, and it forces you to be explicit about the denominators a written description lets you leave vague. Drawing it first often exposes a gap in the design before any data is collected.
Likely learning objectives
Inferred from the brief — check these against your own rubric.
- 01Evidence community health disparities with local rather than national data.
- 02Design a utilisation data collection scheme with explicit denominators.
- 03Represent a study design graphically as a flow of eligible and participating people.
Read the full question
Review every instruction before using the planning guidance that follows.
Course-wide instructions that accompany this question
You must proofread your paper. But do not strictly rely on your computer’s spell-checker and grammar-checker; failure to do so indicates a lack of effort on your part and you can expect your grade to suffer accordingly. Papers with numerous misspelled words and grammatical mistakes will be penalized. Read over your paper – in silence and then aloud – before handing it in and make corrections as necessary. Often it is advantageous to have a friend proofread your paper for obvious errors. Handwritten corrections are preferable to uncorrected mistakes. Use a standard 10 to 12 point (10 to 12 characters per inch) typeface. Smaller or compressed type and papers with small margins or single-spacing are hard to read. It is better to let your essay run over the recommended number of pages than to try to compress it into fewer pages. Likewise, large type, large margins, large indentations, triple-spacing, increased leading (space between lines), increased kerning (space between letters), and any other such attempts at “padding” to increase the length of a paper are unacceptable, wasteful of trees, and will not fool your professor. The paper must be neatly formatted, double-spaced with a one-inch margin on the top, bottom, and sides of each page. When submitting hard copy, be sure to use white paper and print out using dark ink. If it is hard to read your essay, it will also be hard to follow your argument.
Turn the brief into deliverables
- 01Two researched disparities, each explained with a matching service.
- 02A trial design specifying eligibility, measurement and comparison.
- 03A graphic representation of the design.
- 04A minimum of three references in APA format.
Two disparities, two services, one trial design
Disparity one, evidenced locally
Name the disparity, evidence it with local data, and state the service addressing it.
Disparity two, evidenced locally
Repeat for a second, ideally structurally different disparity.
Define what you are counting
Set out eligibility, distinct users versus visits, and what a completed episode is.
Comparison and period
State the baseline or comparison group and the trial duration.
The design as a diagram
Draw the flow from eligible through offered, taking up and completing.
Local disparity data and trial design references
Recommended databases
- County Health Rankings
- Your state and county health department data
- CDC data portals
- Gordis Epidemiology chapter 17
- PubMed Central
Search sequence
- 1.Find county-level data for your own community before choosing disparities, since availability constrains the choice.
- 2.Use Gordis chapter 17 for the diagram conventions the brief points at directly.
- 3.Search for evaluations of similar ancillary service offerings to inform realistic uptake assumptions.
- 4.Check what your clinic could actually record, since a design requiring data you cannot collect is not a design.
Reference shortlist
These are authoritative starting points, not a ready-made bibliography. A qualified reviewer must confirm that each source fits the assignment and supports the claim beside which it is cited.
Nothing here is cleared for citation until you have read it.
- 01
About Adverse Childhood Experiences
Centers for Disease Control and Prevention · 2024
Population evidence connecting community conditions to health outcomes, useful for demonstrating that a local disparity is not an artefact.
- 02
About Breastfeeding Data
Centers for Disease Control and Prevention · 2024
A worked example of a health indicator reported by demographic group and geography, which is the evidence shape this proposal needs.
- 03
Hypothesis Testing, P Values, Confidence Intervals, and Significance
StatPearls, NCBI Bookshelf · 2023
Reference for what a utilisation figure can support statistically and what it cannot, which bounds the grant's claims.
- 04
About CAHPS
Agency for Healthcare Research and Quality · 2024
A model of designing measurement into a service from the outset rather than evaluating it retrospectively.
Review before submission
Common mistakes
- Using national statistics where local data is required to demonstrate community need.
- Describing services without a measurement plan, which cannot support a grant.
- Confusing visits with distinct users in the utilisation count.
- Treating the graphic as an illustration rather than as the design made explicit.
Submission checklist
- Are both disparities evidenced with data for your own community?
- Does each disparity have a specific service attached?
- Does the design state eligibility, denominators and a comparison?
- Does the graphic show the flow from eligible through to completing?
Use this guide to plan and review your own work. Follow your institution's rules and read our academic-integrity policy.
Written by
Aaron Bishop
MA, Education
assignment interpretation and research-methods coaching across disciplines
Aaron leads the EssayCrackers editorial desk. He works on how assignment briefs are read — what a rubric is actually asking for, and where students most often answer a different question than the one set.
Reviewed by
Dr. Nathan Cole
PhD, Rhetoric & Composition
Argumentation and thesis development
Nathan teaches first-year composition and directs a university writing center. He reviews EssayCrackers guides for argumentative soundness and citation accuracy.