Inputs through long-term outcomes for a composite WIC-based voucher and quitline program, with assumptions, external factors and four SMART objectives, form this NU465 Unit 6 logic model. Searches like "nu 465 unit 6 assignment example", "nu465 unit 6 sample" and "nu465 unit 6 example" land here.
Clean Air Cordell on One Page: A Program Logic Model and Four SMART Objectives
[Student Name]
Purdue University Global
NU465: Public Health Nursing - Evidence for Practice
Unit 6 Assignment
[Instructor Name]
[Date]
Composite program written as a model document. Budget and baseline figures are bracketed.
The Model, Column by Column
Inputs: a WIC nurse at [0.5] FTE; carbon monoxide monitors; a voucher fund of [$42,000]; the state quitline's referral portal. Activities: screening at every WIC and prenatal contact; electronic referral to the quitline; monthly carbon monoxide checks; voucher issue for verified abstinence. Outputs: women screened; women referred; women tested each month; vouchers paid. Short-term outcomes: more pregnant smokers enrolled in quitline counseling; carbon monoxide-verified abstinence at monthly checks. Intermediate outcomes: verified abstinence at 36 weeks among enrolled women. Long-term outcomes: a falling county smoking-in-pregnancy rate on birth certificates; fewer low birth weight births. Assumptions: monitors calibrated monthly; voucher amounts large enough to compete with dependence; WIC staff trained to test and pay. External factors: a state cigarette tax vote; smokers in the household, flagged in the evidence match as a future component. Logic models connect resources and activities to the changes a program intends, so each link can be tested (W. K. Kellogg Foundation, 2004).
One Chain, Traced
A carbon monoxide monitor at a WIC visit produces a reading below the cutoff; a voucher is issued; the woman stays abstinent through 36 weeks, verified by testing; her birth certificate reports no smoking in the third trimester; the county rate falls by one birth's share. Each if-then link in that chain can be checked, which is what separates a logic model from a wish list.
Outputs Are Not Outcomes
Women referred is something the program does; women abstinent is something that happens to them. Keeping the two apart prevents a busy program from being mistaken for an effective one.
SMART Objectives
1. Output: by month 6, at least 90 percent of pregnant WIC enrollees will be screened for smoking at intake. Baseline: [a stated percent]. Source: WIC records.
2. Short-term: by month 9, at least 60 percent of screened pregnant smokers will be referred to the quitline. Baseline: [a stated percent]. Source: quitline portal.
3. Intermediate: by month 18, at least 25 percent of enrolled pregnant smokers will have verified abstinence at 36 weeks. Baseline: [a stated percent]. Source: carbon monoxide log.
4. Long-term: by the third year after launch, the county's pooled rate will fall below [a stated percent]. Source: birth certificates. The long-term objective depends on pooled years because of small numbers, and the intermediate objective draws on trial evidence that verified incentives can more than double quitting (Notley et al., 2019).
References
Notley, C., Gentry, S., Livingstone-Banks, J., Bauld, L., Perera, R., & Hartmann-Boyce, J. (2019). Incentives for smoking cessation. Cochrane Database of Systematic Reviews, 2019(7), CD004307. https://doi.org/10.1002/14651858.CD004307.pub6
W. K. Kellogg Foundation. (2004). Logic model development guide. W. K. Kellogg Foundation.
How this NU465 Unit 6 example is structured
Reading order runs right to left before left to right: the long-term outcome is fixed first, from the Unit 4 gap, and every box to its left must earn its place by leading there. The narrative walks one chain in full, from a monitor to a voucher to a verified quit at 36 weeks to a birth certificate reporting no smoking in the third trimester, so each if-then link can be tested. Outputs and outcomes are kept apart deliberately; women referred is something the program does, and women abstinent is something that happens to them. The assumptions box states what would break the model, including voucher amounts too small to compete with dependence. Household smokers, flagged in Unit 5, appear as an external factor with a proposed future component. Objectives close the paper, one per outcome tier, each with a named data source.
Get an NU465 Unit 6 example written to your instructions
Logic model templates differ between sections; some use the Kellogg layout, others a simpler four-column form. Attach your course's own template and grading rubric, name the program you are building, and a finished example drawn on that template comes back in 24-48h. There is no fee for the first sample. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.
NU465 Unit 6 questions, answered
What is the difference between an output and an outcome?
An output tallies what the program does or delivers: women screened, referrals sent, vouchers issued. An outcome is a change that happens to people or to the population: women abstinent, births without smoking. Many models blur them, and markers notice. One check helps: if the item could be counted while no woman smoked a single cigarette less, it belongs in the output column.
How far into the future should long-term outcomes reach?
Far enough to connect to the problem, but no further than the data can follow. The sample ends at the county's smoking-in-pregnancy rate and low birth weight, both measurable from certificates within a few years. Outcomes such as childhood asthma may be real but sit beyond what the program could credibly claim or measure.
Does the program in the sample exist?
No. Clean Air Cordell is composite, as are the county, the budget and the staffing, though the intervention types and sources it draws on are real. A logic model for your course should describe your own chosen program, with inputs priced from real local information where your instructions ask for it.