| Course | HS830 Advanced Health Issues and Trends |
|---|---|
| Unit | Unit 7 |
| Paper type | Horizon scanning report |
| Length | About 1,040 words, 6 pages double-spaced |
| Format | APA 7 student paper |
| School | Purdue University Global |
| Program | Doctor of Health Science (DHSc) |
| Updated | October 2026 |
Free sample paper for HS830 Unit 7
Hotter Summers at the Hub: A Unit 7 Horizon Scanning Report Tracing Heat's Second-Ring Effects on a Regional Health System
[Student Name]
Purdue University Global
HS830: Advanced Health Issues and Trends
Unit 7 Horizon Scanning Report
[Instructor Name]
[Date]
The health system is composite; the methods, data sources, studies and rulemaking cited are real.
Method
The scan was built so that another analyst could repeat it. Sources were searched across five STEEP categories, social, technological, economic, environmental and political, for a window running from January 2020 to the date of the scan. Search sources were stated in advance: CDC's Heat and Health Tracker for emergency visit data, the HHS emPOWER program, which counts Medicare enrollees whose home medical equipment runs on electricity, peer-reviewed literature indexed in PubMed, and state and federal rulemaking dockets. A signal was included if it described a change that could plausibly reach the system's patients, staff or finances within fifteen years and had at least one dated, citable source.
Consequences were then traced with a futures wheel, a technique Jerome Glenn introduced in the early 1970s for mapping the direct and indirect effects of a single change in concentric rings (Glenn, 2009). The wheel's discipline is spatial: effects nearer the hub are more direct and usually better evidenced, and effects in the outer rings depend on everything inside them.
The Futures Wheel
Hub. More days each summer above the temperature thresholds at which heat-related illness rises in the system's region.
First ring, direct effects. More emergency department visits for heat-related illness: CDC's syndromic data showed heat-related visits in the summer of 2023 exceeded those of previous years, peaking in the South and Southwest (Vaidyanathan et al., 2024). More heat-related deaths, which averaged about 700 a year nationally from 2004 to 2018 and fall heavily on older adults and men (Vaidyanathan et al., 2020). Peak electricity demand on the hottest afternoons.
Second ring. Power outages at peak demand, which reach patients at home who depend on oxygen concentrators, ventilators, powered wheelchairs and home dialysis; outages are associated with increased emergency visits and hospitalizations among such patients (Casey et al., 2020). Admissions among older adults taking medicines that impair the body's response to heat, including diuretics, anticholinergics and some psychiatric drugs; an analysis of Medicare beneficiaries found higher heat-related hospitalization during heat waves among those using such drugs (Layton et al., 2020). Heat illness among the system's own outdoor and non-air-conditioned staff, from couriers to facilities crews.
Third ring. New occupational heat rules requiring written heat plans, rest breaks and acclimatization; federal OSHA published a proposed rule on heat injury and illness prevention in 2024 (Occupational Safety and Health Administration [OSHA], 2024), and several states already have their own standards. Rising cooling costs and strain on aging air handling in older buildings. Changes in where vulnerable patients live, as some move to cooler regions or to facilities with backup power.
An effect in the third ring can matter more than one in the first, but it can never be more certain, because it inherits every uncertainty between it and the hub.
The Signal Register
Each signal carries a grade, confirmed trend, emerging pattern or weak signal, and a horizon of one to three, three to seven, or more than seven years. Grades and horizons are kept separate, since a weak signal can be near and a confirmed trend can take a decade to matter.
1. Heat-related emergency visits rising in hot summers. Confirmed trend; one to three years.
2. Heat-related deaths concentrated among older adults. Confirmed trend; one to three years.
3. Outage-linked visits by electricity-dependent home patients. Emerging pattern; one to three years.
4. Growth in Medicare beneficiaries using home electricity-dependent equipment. Confirmed trend; three to seven years.
5. Heat-sensitive medicines in older adults raising admission risk. Emerging pattern; one to three years.
6. Federal workplace heat rule. Weak signal, since the rule is proposed and its final form uncertain; three to seven years.
7. State heat standards for indoor and outdoor workers. Emerging pattern; one to three years.
8. Air handling failures in older inpatient buildings during heat waves. Emerging pattern; one to three years.
9. Heat effects on pregnancy outcomes, including preterm birth. Emerging pattern; three to seven years.
10. Heat and mental health emergency visits. Emerging pattern; three to seven years.
11. Insurer and utility programs that prioritize medically vulnerable customers during outages. Weak signal; three to seven years.
12. Migration of older residents toward cooler regions. Weak signal; more than seven years.
13. Cooling centers run by public health departments with transport. Emerging pattern; one to three years.
14. Hospital energy costs on peak days. Weak signal; three to seven years.
Why Grades and Horizons Are Kept Apart
A register that sorted only by grade would push the proposed federal heat rule to the bottom, yet the system's facilities and human resources teams may need two or three years to prepare written heat plans for hundreds of workers. A register that sorted only by horizon would put weak and confirmed signals side by side and invite the reader to treat them equally. Keeping both columns lets leaders see, for example, that outage-linked visits by home equipment users are near, already measurable and only moderately evidenced, which is exactly the profile of an issue worth monitoring closely.
Items to Monitor Quarterly
Three items move to quarterly monitoring, each with an indicator and a threshold. First, outage-linked visits: the indicator is emergency visits by patients flagged as electricity-dependent in emPOWER data on days with outages in the service area, and the threshold for escalation is any summer in which such visits exceed the prior three-year average. Second, heat-sensitive medicines: the indicator is heat-related admissions among patients on diuretics or anticholinergics, and the threshold is a rise across two summers. Third, the federal heat rule: the indicator is publication of a final rule, and the threshold is the rule itself, which would trigger a compliance plan within ninety days.
Limits
The scan relies on published national data and the literature available in its window. Local outage and admission data were not analyzed. The wheel's outer rings rest on judgment, which the grades are meant to make visible rather than hide.
References
Casey, J. A., Fukurai, M., Hernández, D., Balsari, S., & Kiang, M. V. (2020). Power outages and community health: A narrative review. Current Environmental Health Reports, 7(4), 371-383. https://doi.org/10.1007/s40572-020-00295-0
Glenn, J. C. (2009). The futures wheel. In J. C. Glenn & T. J. Gordon (Eds.), Futures research methodology (Version 3.0). The Millennium Project.
Layton, J. B., Li, W., Yuan, J., Gilman, J. P., Horton, D. B., & Setoguchi, S. (2020). Heatwaves, medications, and heat-related hospitalization in older Medicare beneficiaries with chronic conditions. PLOS ONE, 15(12), e0243665. https://doi.org/10.1371/journal.pone.0243665
Occupational Safety and Health Administration. (2024). Heat injury and illness prevention in outdoor and indoor work settings. Federal Register, 89(169), 70698-71045.
Vaidyanathan, A., Gates, A., Brown, C., Prezzato, E., & Bernstein, A. (2024). Heat-related emergency department visits: United States, May-September 2023. Morbidity and Mortality Weekly Report, 73(15), 324-329. https://doi.org/10.15585/mmwr.mm7315a1
Vaidyanathan, A., Malilay, J., Schramm, P., & Saha, S. (2020). Heat-related deaths: United States, 2004-2018. Morbidity and Mortality Weekly Report, 69(24), 729-734. https://doi.org/10.15585/mmwr.mm6924a1
What the HS830 Unit 7 assignment asks for
The seventh unit usually asks learners to conduct a horizon scan on a health issue, describe the method, identify signals of change and assess their likely timing and importance. Six to eight pages is common, often with a diagram. Instructors look for a method that another analyst could repeat: a defined window, named sources and an inclusion rule. Many prompts specify a technique such as STEEP scanning, a futures wheel or scenario building. Signals should be graded by strength of evidence and kept separate from time horizon. The report typically ends by recommending which signals the organization should monitor and how, so that the scan informs planning rather than sitting in a file.
Inside the HS830 Unit 7 example
The method section names five STEEP categories, four sources and an inclusion rule. A paragraph credits Jerome Glenn with the futures wheel and explains its rings. The wheel puts more days above heat thresholds at the hub, with emergency visits, deaths and peak demand in the first ring; outages affecting electricity-dependent patients, medication-related admissions and staff heat illness in the second; and a proposed federal heat rule, cooling costs and population shifts in the third. A numbered register lists fourteen signals, each graded and timed. A section defends the two-column design with the heat rule as an example. Three monitoring items each carry an indicator and a threshold. The report ends with a limits paragraph noting that local outage data were not analyzed.
Reading the HS830 Unit 7 grading rubric
Horizon scanning reports tend to be assessed on methodological rigor, breadth and relevance of signals, quality of analysis, usefulness of recommendations and presentation. Rigor counts most often, since a scan that cannot be repeated cannot be checked; stating sources, window and inclusion rules earns these points. Breadth rewards signals drawn from several domains, not only the clinical literature. Analysis points depend on distinguishing confirmed trends from weak signals and explaining how uncertainty grows with distance from the central change. Recommendations score well when they specify indicators and thresholds. The wheel and the register must agree with the prose, and every dated signal needs a citation. A short limits section that admits which rings rest on judgment tends to raise rather than lower the score.
HS830 Unit 7 help from the desk
The usual flaw is a scan without a stated method, which reads as a collection of interesting articles. Another is mixing evidence strength with time horizon, so a speculative third-order effect appears as certain as a measured trend. Some reports draw a futures wheel but never use it in the analysis. Others list dozens of signals without grading any of them. Monitoring recommendations that lack thresholds give leaders nothing to act on. If your scan centers on another change, such as an aging nursing workforce or AI in diagnostics, send the prompt and any required technique, and a report can be built with a method another analyst could follow.
Get an HS830 Unit 7 example written to your instructions
Horizon scans turn on two choices: the change at the hub and the window searched. Share both, along with the rubric and any method your course names. Sources are stated, each signal is graded separately from its horizon, and a monitoring list closes the report. Nothing is charged for the first custom sample, and delivery runs 24-48h. 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.
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HS830 Unit 7 questions, answered
Is a futures wheel the only acceptable method?
No. Horizon scanning programs use several, including environmental scanning with STEEP categories, Delphi panels and scenario building. The sample pairs STEEP scanning for finding signals with a futures wheel for tracing consequences, a common combination. If your course names a method, use that one, and state it on the method page, where a reader can check it was applied properly.
What counts as a weak signal?
An early indication of change supported by little evidence so far, such as a single study, a pilot program or a proposed rule. The term comes from strategic planning literature of the 1970s. The sample labels signals weak without dismissing them; a weak signal can matter within three years, which is why grade and horizon sit in separate columns.
How long should the scan window be?
Long enough to catch signals from the last planning cycle, often three to five years of sources, and bounded so the scan can be repeated. The sample scans five years of literature and rulemaking. A window stated explicitly lets a later scan show which signals strengthened, which faded and which were missed entirely.
Where can I find a free HS830 Unit 7 sample paper?
This page contains the full Unit 7 horizon scanning report, built around a futures wheel for hotter summers and a register of fourteen graded signals.
Why are evidence grades and horizons kept in separate columns?
Because a weak signal can arrive soon and a confirmed trend can take years to matter. Combining them would hide signals like the proposed federal heat rule that need early preparation.