| Course | PUBH 6213 Public Health Grant Writing |
|---|---|
| Week | Week 6 |
| Paper type | Grant evaluation section |
| Length | About 860 words, 6 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | Master of Public Health (MPH) |
| Updated | October 2026 |
Free sample paper for PUBH 6213 Week 6
Deciding Now What the First-Year Report Can Say: An Evaluation and Measurement Section With One Process and Two Outcome Measures for a Composite School Hearing Follow-Up Program
Student Name
Walden University
PUBH 6213: Public Health Grant Writing
Instructor Name
Month Day, Year
Deciding Now What the First-Year Report Can Say: An Evaluation and Measurement Section With One Process and Two Outcome Measures for a Composite School Hearing Follow-Up Program
Purpose of the Evaluation
The evaluation answers two questions the funder's announcement asks of every applicant: is the program being delivered as planned, and is it changing the problem it was funded to address? For Tamarack County's school-based tele-audiology program, the problem is the gap between a failed hearing rescreen and a completed evaluation. The evaluation therefore tracks one process measure and two outcome measures, each tied to an objective in the work plan, each with a named data source and a named person responsible for collecting it.
The Measures
Table 1
Evaluation Measures, Sources and Responsibilities
| Measure | Type | Definition | Data source | Collected by | Reported | |
|---|---|---|---|---|---|
| Timely offer | Process | Share of referred children offered a school tele-audiology appointment within 30 days of referral | Referral log | Care coordinator | Quarterly | |
| Completed evaluation | Outcome | Share of referred children with a completed diagnostic evaluation within 90 days of referral | Referral log matched to audiologist reports | Care coordinator; evaluator checks | Quarterly and annually | |
| Days to evaluation | Outcome | Median days from referral to completed evaluation, among children evaluated | Referral log dates | Evaluator | Annually | |
Note. Measures correspond to Objectives 1 and 2 of the work plan; Objective 3 is tracked as a count in the referral log.
Why These Three
The process measure tells the funder whether the program's main mechanism, bringing the appointment to the school, is working. If offers are made late, outcomes will lag, and the quarterly report will show why. The first outcome measure is the direct answer to the need statement. A 90-day window was chosen because it fits within a school semester and because evidence from rural Alaska shows that school-based telemedicine referral shortened mean time to follow-up to about six weeks, compared with roughly three months under standard primary care referral (Emmett et al., 2022). A 90-day window should therefore capture most children the program reaches. The second outcome, median days to evaluation, shows whether children are seen faster, which the announcement's emphasis on "delay" makes a scored concern. The median is used rather than the mean because a few very late evaluations would distort a mean in a small program.
Establishing the Baseline
Last school year's referral data come from school nurse logs: 168 children referred and 54 with a documented evaluation by the end of the school year. Those logs did not record evaluation dates consistently, so a 90-day baseline cannot be calculated from them directly. In the first two months, before clinics begin, the evaluator will review a random sample of 60 of last year's referral records, contact the audiology practices families used where nurses had noted a visit, and estimate the share completed within 90 days and the median days to evaluation. Because some visits will have gone unrecorded, the baseline may be an underestimate; the evaluation report will say so.
The Referral Log
Every referral will be entered into one secure log, built in a research data platform the department already licenses, within two school days of the failed rescreen. Each entry holds the child's study number, school, grade, referral date, offer date, appointment date, evaluation result, follow-up referral if any and the date results were shared with the family. Names are kept in a separate linked file accessible only to the coordinator and program manager. School nurses will send referral forms through a secure upload, never by email.
Data Quality
Each quarter, the evaluator will compare 20 randomly chosen log entries against the audiologist's reports and the nurses' paper forms. If more than two of the 20 disagree on a date or result, the coordinator and evaluator will review all entries for that quarter. This check costs a day of the evaluator's time per quarter and is included in the evaluation budget line, which stays within the announcement's 10% cap on evaluation costs.
What the Funder Will Receive
Quarterly reports, due 30 days after each quarter ends, will give the number of referrals, the process measure and the share evaluated within 90 days so far. The annual report will add median days to evaluation, the number of children diagnosed with hearing loss and the number whose results reached a school support team. Every figure will be compared with the baseline. A national survey found that only about one in ten children with measured hearing loss had been reported by families as having a hearing problem (Niskar et al., 1998); the annual report will therefore include the share of diagnosed children whose families had not suspected a loss, a figure that shows the value of screening follow-up beyond the counts.
Limits
The evaluation compares Tamarack's results with its own past, not with a comparison county, so changes in the school population or in specialist availability could affect results. The report will note any such change. A review of school hearing screening programs found that inconsistent records of follow-up are common (Yong et al., 2020); the referral log is designed to prevent that here, but the baseline comes from older and less complete records, which the report will acknowledge.
References
Emmett, S. D., Platt, A., Turner, E. L., Gallo, J. J., Labrique, A. B., Inglis, S. M., Jenson, C. D., Parnell, H. E., Wang, N.-Y., Hicks, K. L., Egger, J. R., Halpin, P. F., Yong, M., Ballreich, J., & Robler, S. K. (2022). Mobile health school screening and telemedicine referral to improve access to specialty care in rural Alaska: A cluster-randomised controlled trial. The Lancet Global Health, 10(7), e1023-e1033. https://doi.org/10.1016/S2214-109X(22)00184-X
Niskar, A. S., Kieszak, S. M., Holmes, A., Esteban, E., Rubin, C., & Brody, D. J. (1998). Prevalence of hearing loss among children 6 to 19 years of age: The Third National Health and Nutrition Examination Survey. JAMA, 279(14), 1071-1075. https://doi.org/10.1001/jama.279.14.1071
Yong, M., Panth, N., McMahon, C. M., Thorne, P. R., & Emmett, S. D. (2020). How the world's children hear: A narrative review of school hearing screening programs globally. OTO Open, 4(2). https://doi.org/10.1177/2473974X20923580
PUBH 6213 Week 6 instructions, in plain terms
Evaluation sections in grant proposals ask students to explain how the program will know whether it is working. Prompts usually require process and outcome measures tied to objectives, data sources, who collects data and when, how a baseline will be established, data management and a reporting schedule. Some instructors also ask for evaluation questions or a logic model link. Expect two to three pages, often with a measures table. Instructors look for measures that match the objectives exactly and can be collected with the program's resources. Strong sections are honest about weaknesses in the baseline or design and state what reports will include, so the funder knows what to expect from the start.
How this PUBH 6213 Week 6 example is built
The brief opens with two evaluation questions drawn from the funder's interests. A measures table defines the process measure and both outcome measures with type, source, collector and reporting frequency. A section explains the choice of each measure, including why a median is used for a small program. The baseline section describes a record review of last year's referrals and admits the baseline may be too low. Sections on the referral log and on quarterly data quality checks follow, with the cost of checks placed within the evaluation budget limit. The reporting section lists what each report will contain and adds a measure drawn from national evidence. A limits section closes.
Where the marks sit in the PUBH 6213 Week 6 rubric
Graders judge whether measures align with objectives, whether each is clearly defined and whether data sources are realistic. Baselines receive close attention, and students earn credit for explaining how one will be built when none exists. Process and outcome measures should be distinguished correctly. Data management, privacy and quality procedures show capacity. Reporting plans should match the funder's requirements. Credit is given for honest discussion of limits, such as having no comparison group. A clear table, concise writing and citation of evidence for chosen time windows or targets support a strong score. Evaluation sections that keep within the funder's cost limit for evaluation, and say so, also avoid a budget question later. A measure defined loosely, such as "improved access," almost always loses points because no one can say whether it was met.
PUBH 6213 Week 6 help: mistakes that cost marks
A frequent slip is choosing measures because they are easy to count, even when they do not match the objectives. Copy each objective, then write the measure that would show it was met. Define every measure precisely enough that two people would calculate it the same way. Decide where each number will come from and who will record it. If no baseline exists, explain how you will build one and what its weaknesses are. Plan a simple check of data accuracy. Tell the funder what each report will contain. A measurement section can be drafted from your objectives and the data your program can collect. If your program is small, choose fewer measures and collect them well rather than many measures collected poorly.
Get a PUBH 6213 Week 6 example written to your instructions
Share the measurement prompt and rubric together with your objectives and the funder's reporting requirements, and a section defining a measure for each objective comes back in 24-48h, with the first free. The encounter logs, clinic records and caregiver form describe an invented program; your section measures the objectives in your own proposal.
More PUBH 6213 papers and MPH samples
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- PUBH 6213 Week 5: Work Plan
- PUBH 6213 Week 7: Budget Narrative
- PUBH 6213 Week 8: Peer Reply
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PUBH 6213 Week 6 questions, answered
Where can I find a free PUBH 6213 Week 6 sample paper?
Find the whole Week 6 measurement section above, defining one process and two outcome measures for a school hearing follow-up program.
What is the difference between a process and an outcome measure?
A process measure shows whether the program is delivered as planned; an outcome measure shows whether it changes the problem.
Why use a median for days to evaluation?
In a small program a few very late evaluations would distort a mean, while the median reflects the typical child.
How can a baseline be built when records are incomplete?
By reviewing a sample of past records and contacting providers, while stating that unrecorded visits may make the baseline too low.
How often will the funder receive data?
Quarterly reports with referrals and follow-up rates, and annual reports adding median days and results shared with schools.