NR 550 Week 6 Global Comparison Write-Up Example

Course	NR 550 Population Health Disparities: Local, National, and Global Perspectives
Week	6
Paper type	Global comparison write-up
Length	About 1,110 words, 2 pages
Format	APA 7 student paper
School	Chamberlain University
Program	MSN, Population Health
Updated	September 2026

Free sample paper for NR 550 Week 6

Global Comparison Write-Up: Childhood Wheeze From Tibet to Wellington in the ISAAC Phase Three Surveys, Why the Headline Extremes Are Centers Rather Than Countries, and What That Means for Comparing Our East Side

Student Name

College of Nursing, Chamberlain University

NR 550: Population Health Disparities: Local, National, and Global Perspectives

Instructor Name

Month Day, Year

What this page is doingThe title starts from the headline global comparison and then opens it up below the national line, which is where this assignment separates from a country summary. Student APA 7 title page.

The Headline Comparison

The largest standardized global comparison of childhood asthma symptoms is the International Study of Asthma and Allergies in Childhood (ISAAC). In its Phase Three, conducted between 2000 and 2003, the same written questionnaire was completed by 798,685 children aged 13 to 14 in 233 centers in 97 countries, and by 388,811 children aged 6 to 7 in 144 centers in 61 countries. Among 13- and 14-year-olds, the prevalence of wheeze in the past 12 months ranged from 0.8% in Tibet, China, to 32.6% in Wellington, New Zealand, a forty-fold difference (Lai et al., 2009). Among 6- and 7-year-olds, it ranged from 2.4% in Jodhpur, India, to 37.6% in Costa Rica.

Those figures are usually quoted as a comparison between countries: China against New Zealand, India against Costa Rica. This write-up treats that headline as the start of the analysis rather than its result.

How ISAAC Built Comparability

The reason ISAAC's figures can be compared at all is that it used the same instrument everywhere. Children or their parents completed a standardized written questionnaire, translated with care, and in many centers older children also watched a video showing asthma symptoms, which reduced dependence on the word wheeze, which translates poorly into some languages. Schools were sampled within each center using a common protocol. This design is what allowed a figure from Tibet and a figure from Wellington to be placed side by side, and it is the kind of comparability our local analysis sought when it rejected a national yardstick measured differently.

Below the National Line

The first thing to notice is that the extremes are not countries. Tibet is one center in China; Wellington is one center in New Zealand; Jodhpur is one center in India. ISAAC was organized by center, a defined area, usually a city or region, in which schools were sampled. A national figure, where one is reported, is an average of the centers a country contributed, and some countries contributed only one center while others contributed many.

This matters for interpretation. China's lowest center sets the global minimum, but that tells us nothing about whether China as a whole had low prevalence, since other Chinese centers, particularly more urban and affluent ones, reported higher prevalence. Similarly, India contributed the lowest center for 6- and 7-year-olds and the lowest prevalence of severe symptoms among 13- and 14-year-olds (Pune), but India's centers were not uniform. A comparison that sets China against New Zealand using the extreme centers would overstate the national difference; one that averaged all centers in each country would understate the variation inside each.

Which Distance Is Larger

The assignment asks whether the gap between countries is larger than the gap inside them. The published summary does not give a full center-by-center breakdown for every country, so this write-up does not calculate within-country ranges it cannot see. What the summary does establish is that the global range runs from one country's center to another country's center, and that the extremes occurred in countries with several centers, including China and India. It is therefore possible, and likely for the larger, more varied countries, that the spread between a country's own centers was a substantial share of the global spread. The earlier ISAAC analysis of time trends also reported that prevalence rose in some centers and fell in others over the years between the two phases (Asher et al., 2006).

The income finding adds a second layer. ISAAC found that centers in higher-income countries tended to have more current wheeze, but that among children who wheezed, severe symptoms were more common in centers in lower-income countries (Lai et al., 2009). Prevalence and severity ran in opposite directions. A country comparison on prevalence alone would miss that children in less affluent settings had more severe disease when they had it.

What the Global Comparison Means for the East Side

Our local analysis faced the same structure in miniature. The county's average emergency visit rate of 78 per 10,000 children hides a range from 20 in the rural townships to 261 on the east side, and within the east side from about 208 to 346 across published tracts. The gap between the east side and the rest of the county is far larger than the gap between our county and the state as a whole. As in ISAAC, the most important variation is below the level at which figures are usually reported.

The severity finding also has a local parallel. Emergency visits measure uncontrolled asthma, not how many children have asthma. The east side may resemble ISAAC's lower-income centers: not necessarily more children with asthma, but more severe, less controlled disease among those who have it. That possibility is one reason the national data review recommended local data on asthma control.

A Second Lesson: What Counts as Worse

The global data also raise a question about what counts as a worse position. On prevalence, Wellington is the worst center in the world for 13- and 14-year-olds. On severity among children who wheeze, centers in lower-income countries fared worse. A health system that measured only prevalence would direct attention to affluent centers, while one that measured severe symptoms would direct it elsewhere. Our east side sits in a high-income country, but its emergency visit rate is a severity-weighted measure, closer in spirit to ISAAC's severe symptoms than to its prevalence. The choice of measure decides which places look worst, and that choice should be stated before any ranking is drawn.

Cautions

ISAAC measured reported symptoms by questionnaire, not diagnosed asthma or emergency visits, so its figures cannot be compared directly with our count of emergency visits. The Phase Three surveys are now more than twenty years old. And centers were not chosen to represent their countries; they were chosen where investigators were willing and able to run the study. These cautions limit the numbers but not the lesson about levels of analysis. Marmot (2005) argues that inequalities in health appear at every level at which they are measured, and the ISAAC data suggest the same about asthma.

The same discipline applies to any global figure the county cites in future reports.

References

Asher, M. I., Montefort, S., Björkstén, B., Lai, C. K. W., Strachan, D. P., Weiland, S. K., & Williams, H. (2006). Worldwide time trends in the prevalence of symptoms of asthma, allergic rhinoconjunctivitis, and eczema in childhood: ISAAC Phases One and Three repeat multicountry cross-sectional surveys. The Lancet, 368(9537), 733-743. https://doi.org/10.1016/S0140-6736(06)69283-0

Lai, C. K. W., Beasley, R., Crane, J., Foliaki, S., Shah, J., & Weiland, S. (2009). Global variation in the prevalence and severity of asthma symptoms: Phase Three of the International Study of Asthma and Allergies in Childhood (ISAAC). Thorax, 64(6), 476-483. https://doi.org/10.1136/thx.2008.106609

Marmot, M. (2005). Social determinants of health inequalities. The Lancet, 365(9464), 1099-1104. https://doi.org/10.1016/S0140-6736(05)71146-6

What the NR 550 Week 6 assignment asks for

This week asks you to compare a health issue across countries and relate it to your local population. Instructions usually request data from two or more countries, an analysis of differences, contributing factors and implications for your community. State the headline comparison once, with its source and years, and treat it as the start of the analysis. Open each country below the national figure, since averages hide variation between regions or centers. Ask whether the gap between countries is larger than the gap inside them, and do not calculate what the published data cannot show. Explain how the source made figures comparable. Consider whether the measure captures prevalence or severity, since that changes which places look worst. Relate the lessons to your local data. Cite international studies in APA 7.

How this NR 550 Week 6 example is built

The write-up opens with ISAAC Phase Three's scale and its range of current wheeze, from 0.8% in Tibet to 32.6% in Wellington among 13- and 14-year-olds, and from 2.4% to 37.6% among younger children. A section explains the common questionnaire and video that made centers comparable. A section shows that the extremes are single centers in countries with several centers, so national comparisons mislead. A section on which distance is larger declines to invent within-country ranges and adds the income finding on prevalence and severity. A section on measures notes that the east side's emergency visit rate resembles a severity measure. The final sections relate the lessons to the county and state the survey's age and design limits.

Where the points sit in the NR 550 Week 6 rubric

Global comparison write-ups are generally assessed on appropriate international data, accurate reporting, analysis beyond national averages, attention to comparability, relevance to the local population and awareness of limitations. Treating the headline comparison as a starting point and opening it below the national line shows the analysis the assignment is built for. Explaining how comparability was achieved demonstrates understanding of method. Declining to calculate figures the source does not provide shows integrity. Distinguishing prevalence from severity adds depth. Relating the lessons to local data connects the global to the community. An honest limitations section, with international studies cited in APA 7, completes a strong paper.

Common NR 550 Week 6 mistakes, and how to avoid them

Global papers often compare two national averages and stop, which misses the variation inside each country. Look below the national figure. Another weakness is comparing figures measured in different ways across countries; explain how comparability was achieved or why it was not. Some students fill gaps with invented or remembered numbers; report only what the source provides. Avoid ranking countries without saying which measure the ranking uses. Consider the age of the data. Relate the comparison to your own community in a specific way rather than a general statement that disparities exist everywhere. Check country and center names carefully, since global datasets often report cities or regions.

Get a NR 550 Week 6 example written to your instructions

Tell us the two countries and the outcome, or say which one is fixed by your prompt and leave the pairing to us. A custom write-up is written to your instructions and returned inside 24 to 48 hours, the first one free, with sub-national figures sourced separately from the national ones they sit under.

More NR 550 papers and MSN samples

NR 550 Week 6 questions, answered

Where do I find sub-national figures for another country?

National statistics offices publish most of them, and ministry reports or published atlases carry the rest. Where nothing exists below the national line, that absence goes into the write-up as a finding, because a country that does not report its own internal variation cannot be shown to have none. Say what you looked at and what you could not find, and the paper is stronger for it.

Do I need more than two countries?

Read the prompt first, since some sections name a number. Where the choice is yours, two examined properly beats five listed, and the reason is arithmetic: every country you add is another set of reporting units to describe, and the sub-national work is what the assignment is marking. A wide paper with no interior is the commonest way to lose credit here.

The definitions do not match between my two countries. What now?

State the difference, then state the direction it pushes the comparison. If one country counts an event that the other excludes, you know which way the gap is biased even without a correction, and saying so is worth more than a silent adjustment. What loses marks is quietly treating two differently defined figures as one measure and building an explanation on top of it.

Where can I find a free NR 550 Week 6 sample paper?

The ISAAC global comparison is presented above as the NR 550 Week 6 sample, with every section showing. If you are comparing a different outcome across countries, tell us which and a write-up that looks below the national line can be written.

Why look below the national line in NR 550 Week 6?

Because national averages hide variation. In the sample, the global extremes of childhood wheeze were single centers in China and New Zealand, not whole countries.