NR 550 Week 5 Structural Causes Brief Example

Structural Causes Brief: Same Houses, Different Families, Would the East Side's Asthma Emergency Rate Hold? Composition and Context Each Stated at Their Strongest

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College of Nursing, Chamberlain University

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

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Month Day, Year

Structural Causes Brief: Same Houses, Different Families, Would the East Side's Asthma Emergency Rate Hold? Composition and Context Each Stated at Their Strongest

The Question

Asthma sends east side children to the emergency department at roughly 6.6 times the rate of other children in the county. The question this brief runs on is simple to state: if different families moved into the same houses on the same streets, would the rate stay high? If it would, something about the place is driving it. If it would not, the rate reflects who lives there. Public health research calls these two kinds of explanation context and composition, and argues that both usually contribute and that the distinction is harder to draw in practice than in principle (Macintyre et al., 2002).

Composition at Its Strongest

The compositional account holds that the east side's rate reflects the characteristics of its residents, not the neighborhood itself. Stated as its best supporters would state it: east side children are more likely to live in low-income households, to be covered by Medicaid, to be Black, and to have a parent who smokes. Each of these is associated nationally with higher asthma prevalence or worse asthma control. Low-income families are more likely to face barriers to routine care, including hourly jobs that make daytime appointments hard, which leads to emergency visits for exacerbations that planned care could have prevented. Smoking in the home is a well-established asthma trigger. If the same families lived in the north suburbs, the account predicts, their children's rate would be nearly as high.

There is local evidence for this account. The east side has the county's highest share of children in households below the poverty line (41%, against 9% in the rest of the county) and the highest adult smoking prevalence in the county's own health survey.

Context You Could Point At

The contextual account holds that features of the place itself raise asthma risk or emergency use, whoever lives there. It points to specific, observable features.

Housing age and condition. About 68% of the east side's housing units were built before 1960, and most are rentals. The city's code enforcement records show three times as many complaints about moisture, mold and pests per 1,000 units on the east side as elsewhere. Damp, mold, cockroaches and mice are established asthma triggers, and poor housing conditions have long been linked to asthma (Krieger & Higgins, 2002).

Traffic. A state truck route runs along the east side's northern edge, and a rail yard with diesel locomotives sits beside tracts E1 and E2, which have the highest rates in the county.

Access to care. The nearest pediatric clinic with evening hours is 5.5 miles away. The bus route to it runs every 40 minutes and stops at 7 p.m. The children's emergency department is 1.2 miles away. For a family whose child starts wheezing at 8 p.m., the emergency department is the only realistic option.

The contextual account predicts that different families moved into these same houses, near the same rail yard and with the same bus schedule, would see a rate well above the county average.

What the Evidence Says

Three pieces of local evidence help weigh the accounts.

First, the comparator analysis found that neighborhoods elsewhere in the state with the same housing age and child poverty profile have a rate of about 151 per 10,000, well below the east side's 261. If composition and housing explained everything, the rates should be similar. The difference points to something additional on the east side, and the rail yard and the gap in evening care are the two most specific features.

Second, within the east side, tract E6, next to a park and away from the rail yard, has a much lower rate than E1 and E2, although its poverty rate is similar. That is a within-neighborhood contrast in context with little change in composition.

Third, 64 families moved from older east side apartments into a renovated public housing complex on the east side in 2020. The housing authority's records show that asthma emergency visits among their children fell from 41 in the two years before the move to 17 in the two years after. The families did not change; their housing did. The numbers are small and not a controlled study, but they are the closest thing available to the brief's question.

The housing move needs cautious reading. Families moved in 2020, a year when emergency visits for many conditions fell nationally because of the pandemic, so part of the drop may reflect that year rather than the housing. Families selected for the renovated complex may also have differed from those who stayed, for example by having more stable income. And the count of 41 visits before the move could reflect a bad two years that would have improved anyway. Even allowing for these, a fall of more than half is larger than the county-wide change over the same period, which makes the housing explanation plausible rather than proven.

Answer to the Question

On the local evidence, different families in the same houses would probably still have a rate well above the county average, though not as high as today's. Context accounts for a substantial part of the gap, particularly housing condition, proximity to diesel exhaust and the absence of evening primary care. Composition accounts for part too, through income, smoking and the barriers low-income families face. The two are not independent: families with fewer resources are more likely to end up in older rental housing near a rail yard, which is itself a structural process. Marmot (2005) argues that social determinants operate through the circumstances of daily life, housing and work, and the east side illustrates that composition and context are often two faces of the same sorting.

What the Brief Implies

If context matters as much as the evidence suggests, interventions aimed only at individual families, such as asthma education, will reach part of the gap at most. Changes to the place, including housing repairs, enforcement of code standards, a clinic with evening hours on the east side and action on diesel exposure, reach the part that education cannot. The multilevel policy analysis will set out who has the power to make each change.

The brief therefore treats context as the larger lever, while keeping family-level support in the plan.

References

Krieger, J., & Higgins, D. L. (2002). Housing and health: Time again for public health action. American Journal of Public Health, 92(5), 758-768. https://doi.org/10.2105/AJPH.92.5.758

Macintyre, S., Ellaway, A., & Cummins, S. (2002). Place effects on health: How can we conceptualise, operationalise and measure them? Social Science & Medicine, 55(1), 125-139. https://doi.org/10.1016/S0277-9536(01)00214-3

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