| Course | PHE 423 Evaluation Methods in Public Health |
|---|---|
| Module | Module 6 |
| Paper type | undergraduate short paper analyzing process and outcome evaluation data |
| Length | About 1,020 words, 6 pages |
| Format | APA 7 student paper |
| School | Southern New Hampshire University |
| Program | BS Public Health |
| Updated | October 2026 |
Free sample paper for PHE 423 Module 6
Ninety Percent Still Sounding: Analyzing the First Year of the Smoke Alarm Program
[Student Name]
Southern New Hampshire University
PHE 423: Evaluation Methods in Public Health
Module Six Short Paper
[Instructor Name]
[Date]
The organization, setting and figures below are a composite written as a model document. No real employer, client, colleague or patient is described.
Ninety Percent Still Sounding: Analyzing the First Year of the Smoke Alarm Program
The evaluation plan for the river city's smoke alarm program set four questions: how many eligible homes the program reached, whether crews installed alarms as intended, how many served homes had a working alarm a year later compared with the neighborhood still waiting, and how many households had an escape plan. This paper reports the first year's data for each, with the uncertainty around the main results and the limits that readers should keep in mind.
Reach
Crews knocked on all 1,140 eligible rental homes in the two program neighborhoods and installed alarms in 712, a reach of 62%. Of the 428 homes not served, 268 never answered after three visits, 104 households declined and 56 landlords refused permission. The pattern matters. Homes that never answered were concentrated on two streets of duplexes where tenants turn over quickly, which are also the homes fire officials consider at highest risk. Glasgow et al. (1999) warned that a program's impact is the product of its reach and its effect, and a program that misses its riskiest homes can look better in outcome data than it is in the community.
Fidelity
Inspectors spot-checked 71 installations, about 10% of the total. In 64 of them, or 90%, an alarm was mounted on every sleeping level as the protocol required. The seven shortfalls were all in two-story homes where the crew installed a single alarm on the ground floor. Crew logs showed the safety talk was recorded as given in 689 of 712 homes. The evaluation cannot confirm what was said in each talk, a limit of relying on self-reported logs.
Working Alarms at Twelve Months
Health department staff revisited random samples of homes twelve months after installation. They reached 168 of 200 sampled served homes and 131 of 150 sampled comparison homes. Table 1 gives the results.
Table 1. Working smoke alarms at baseline and twelve months
| Group | Baseline | Twelve months (95% CI) | Change |
|---|---|---|---|
| Program neighborhoods | 41% | 151/168, 89.9% (85.3 to 94.4) | +48.9 points |
| Comparison neighborhood | 43% | 60/131, 45.8% (37.3 to 54.3) | +2.8 points |
| Difference at twelve months | 44.1 points (34.4 to 53.8) |
Note. Intervals use the normal approximation for proportions.
The two groups began within two points of each other, and at twelve months the program neighborhoods were 44 points ahead, with an interval that stays far above the ten-point difference the plan set as meaningful. The comparison neighborhood changed little, which suggests that the gain is not explained by something affecting the whole city, such as news coverage after the fatal fires.
Why Some Alarms Stopped Working
Of the 17 served homes without a working alarm, 9 had removed it, most often from a kitchen ceiling where cooking set it off; 5 no longer had the alarm at all after a change of tenant; and 3 had damaged units. DiGuiseppi et al. (2002) found that free alarms in London did not reduce injuries, largely because many were never installed or were later taken down. Installing the alarms closes the first gap. The kitchen removals suggest that placement, not only installation, needs attention.
Escape Plans
In served homes, 61 of 168 households (36.3%) described a plan for getting out, compared with 29 of 131 (22.1%) in the comparison neighborhood. The difference of 14 points is smaller than for alarms and rests on a self-reported answer, so it should be read with more caution.
Threats to Validity
Three threats deserve attention. First, the 32 served homes that were sampled but never reached may differ from those that were. If none of them had a working alarm, the served figure would fall to 151 of 200, or 75.5%, still far above the comparison neighborhood, so the main conclusion holds even in that worst case. Second, the neighborhoods were not assigned at random, and a difference in tenants or landlords could contribute to the gap, although their similar baselines make a large bias unlikely. Third, staff knew which neighborhood they were visiting, but pressing a test button leaves little room for judgment.
Fire Injuries
The program neighborhoods recorded two fire injuries and no deaths during the year, against three injuries the year before. These numbers are far too small to show whether the program reduced harm, and the plan said in advance that they would not be used that way. Yellman et al. (2018) were able to estimate deaths and injuries prevented only by pooling several years of data from a large city program, which is the route the river city would need to follow.
Cost per Home with a Working Alarm
The program spent about $187,500 in its first year on alarms, crew time, outreach and supplies, or roughly $263 for each of the 712 homes served. Applying the twelve-month rate of 89.9% to all served homes gives about 640 homes with a working alarm, at roughly $293 each. That figure is not a measure of value, because it says nothing about fires prevented, but it gives the city a baseline for judging whether changes next year, such as evening visits to reach more tenants, raise or lower the cost of each working alarm. A later economic evaluation could build on the approach Yellman et al. (2018) used, once several years of injury data exist.
What Should Change Next Year
Three changes follow from the data. Crews should schedule evening and weekend visits on the high-turnover duplex streets, where most unanswered doors were. They should mount alarms at least ten feet from cooking appliances, or use photoelectric units near kitchens, to cut nuisance removals. And they should carry a second alarm on every visit so two-story homes get one on each sleeping level. Each change can be checked in next year's process data, since the third neighborhood will be measured the same way.
Conclusion
The program reached six in ten eligible homes, mostly installed alarms as intended and left nine in ten revisited homes with a working alarm after a year, against fewer than half in the neighborhood still waiting. Its biggest gaps are the homes it never reached and alarms placed where cooking sets them off. Both can be addressed before crews move to the third neighborhood.
References
DiGuiseppi, C., Roberts, I., Wade, A., Sculpher, M., Edwards, P., Godward, C., Pan, H., & Slater, S. (2002). Incidence of fires and related injuries after giving out free smoke alarms: Cluster randomised controlled trial. BMJ, 325(7371), 995-998. https://doi.org/10.1136/bmj.325.7371.995
Glasgow, R. E., Vogt, T. M., & Boles, S. M. (1999). Evaluating the public health impact of health promotion interventions: The RE-AIM framework. American Journal of Public Health, 89(9), 1322-1327. https://doi.org/10.2105/AJPH.89.9.1322
Yellman, M. A., Peterson, C., McCoy, M. A., Stephens-Stidham, S., Caton, E., Barnard, J. J., Padgett, T. O., Florence, C., & Istre, G. R. (2018). Preventing deaths and injuries from house fires: A cost-benefit analysis of a community-based smoke alarm installation programme. Injury Prevention, 24(1), 12-18. https://doi.org/10.1136/injuryprev-2016-042247
What the PHE 423 Module 6 instructions ask for
In Module Six, PHE 423 asks for a short analysis paper, about three to four pages in APA 7, reporting evaluation data for your program. Present process results such as reach and fidelity and outcome results for the questions in your plan. Give the uncertainty around key figures, for example confidence intervals, and compare the program group with any comparison group at baseline and follow-up. Explain what the results mean in plain terms, discuss the main threats to validity and test whether the conclusion holds under reasonable assumptions about missing data. Say which outcomes cannot be judged with the data available, and finish with what the program should change. Include a table for the main outcome.
How this PHE 423 Module 6 analysis short paper example is built
In this PHE 423 analysis, the Missouri river city's program reached 712 of 1,140 eligible rental homes, missing mostly fast-turnover duplexes. Spot checks found 90% of installations met protocol. At twelve months, 89.9% of revisited served homes had a working alarm against 45.8% in the comparison neighborhood, a 44-point gap with an interval of 34 to 54 points. Kitchen placement explained most removals, echoing DiGuiseppi and colleagues. A worst-case check for unreached homes still left 75.5%. Two fire injuries are reported but not interpreted, and Yellman and colleagues show why several years of pooled data would be needed. Cost per home with a working alarm, about $293, sets a baseline.
Where the PHE 423 Module 6 rubric puts the points
The PHE 423 analysis rubric usually rewards accurate reporting of process and outcome data, appropriate measures of uncertainty, fair comparisons with baseline and comparison groups, plain interpretation, honest discussion of threats to validity and clear limits on what the data can show. The strongest papers test their main conclusion against missing data and explain the reasons behind shortfalls. Graders mark down papers that overstate small numbers or ignore homes or people the program missed. Tables should be labeled and figures consistent across text and tables, with APA 7 citations throughout the paper. Recommendations should follow directly from the findings. Graders also check that cost figures, if given, are framed with care rather than as proof of value.
PHE 423 Module 6 help: the mistakes that cost points
Analysis papers for PHE 423 tend to lose marks for reporting outcomes without reach, giving percentages without intervals, reading meaning into tiny counts or ignoring missing data. If you have a data set from class, figures from a real program or a description of results you need to present, send the prompt and the numbers, and the paper will check the arithmetic, add intervals where they belong and say what the data can and cannot support. Our PHE 423 analysis papers report results in a form a program manager can use and show worst-case checks in plain language. Recommendations are tied to specific results.
Get PHE 423 Module 6 written to your instructions
Send the PHE 423 Module 6 prompt and your evaluation data. The paper will report reach, fidelity and outcomes with confidence intervals, compare groups at baseline and follow-up, test the result against missing data and name what the numbers cannot show. It will be written within about two days, and your first sample is free. The paper above is an original model document written by our desk, not a submitted student paper and not an official Southern New Hampshire University document.
More PHE 423 papers and related BS Public Health samples
- PHE 423 Module 1 Discussion: Why Handing Out Alarms Is Not Enough
- PHE 423 Module 2 Frameworks Short Paper: Planning the Evaluation With CDC and RE-AIM
- PHE 423 Module 3 Logic Model Short Paper: From Crews and Alarms to Fewer Deaths
- PHE 423 Module 4 Discussion: Choosing a Design the City Can Live With
- PHE 423 Module 5 Project One: An Evaluation Plan for a Smoke Alarm Program
- PHE 423 Module 7 Project Two: The Evaluation Report and How to Share It
- PHE 423 Module 8 Discussion: Closing Reflection on Evaluation That Gets Used
- PHE 101 Module 2 History Short Paper: What the Hookworm Campaign Teaches
- PHE 340 Module 8 Discussion: Closing Reflection on Theory and Real People
- PHE 327 Module 7 Project Two: The Assessment Report on Needs, Assets and Capacity
- PHE 321 Module 8 Discussion: Closing Reflection on the Ecological View of Disease
PHE 423 Module 6 questions, answered
Where can I find a free PHE 423 Module 6 analysis sample?
This page carries a full PHE 423 Module 6 analysis paper reporting reach, fidelity and working-alarm results from a city smoke alarm program.
Why report reach alongside outcomes?
A program that misses many of the people it is meant for can show good results among those served while doing little for the whole community.
What is a worst-case check for missing data?
It recalculates the result assuming everyone not reached had the poorer outcome, to see whether the conclusion still holds.
Why not use fire injuries to judge the program?
In a small city, injuries and deaths are too rare in one year to show a reliable change.
How are confidence intervals for proportions calculated?
A common approach takes the proportion plus or minus 1.96 standard errors, with the standard error found from the proportion and the sample size.