Professional · Issue 1 · 2026-09-24
Lower Neighborhood Opportunity Linked to Higher Hospitalization Risk in Children with Cystic Fibrosis
Editorially reviewed research summaries, context, and limitations.
Ashley Han, Matt Hall, Elizabeth Cromwell, et al. ________________________________________________________________________________________________ Editor’s note: First of all, congratulations to Liz, the registry team, and all the authors on this publication! Having worked with some of you for many years, I’m especially happy to see this work published. ________________________________________________________________________________________________ Summary: This retrospective cohort study linked the CF Foundation Patient Registry with the Pediatric Health Information System (PHIS) to examine associations between the Childhood Opportunity Index (COI) — a composite area-level socioeconomic measure — and healthcare utilization among 8,177 children with CF across 2009–2022. Children living in the lowest COI quintiles had significantly higher risks of hospitalization compared to those in the highest quintile, with the steepest gradient observed for respiratory-related hospitalizations (RR 1.60 for the very low COI group). Emergency room visits and ambulatory surgeries were also examined. The findings reinforce that where a child lives meaningfully shapes their disease burden and care patterns.
Why it matters: Health disparities in CF have been increasingly recognized, yet granular data on how neighborhood-level factors specifically drive acute care utilization has been limited. This study addresses that gap using a well-powered, registry-linked dataset spanning over a decade, lending credibility to the observed associations. The findings are operationally significant: if socioeconomic context predicts hospitalization risk independently of disease severity or CFTR genotype, then clinical programs and payers may need to incorporate social risk stratification into care planning and resource allocation. For the CF community navigating the CFTR modulator era, understanding why some children still experience high acute-care burdens despite available therapies is a pressing and practical question.
Expert perspective: The CFF Registry–PHIS linkage is a methodologically sound approach, combining clinical granularity from the registry with validated encounter-level hospital data from PHIS. The sample size is substantial — over 65,000 hospital encounters — and generalized estimating equations with clustering on hospital are appropriate for the data structure. The dose-response pattern across COI quintiles adds plausibility.
That said, several limitations deserve attention. COI is an area-level, ecological exposure assigned by residential zip code or census tract; it does not capture individual household socioeconomic status, and ecological inference remains a persistent concern. The study is retrospective and observational, so unmeasured confounding is a genuine threat. CFTR genotype distribution, modulator eligibility and uptake, baseline lung function, pancreatic status, and microbiology all differ by socioeconomic stratum and could independently drive hospitalization risk. The abstract does not detail which covariates were adjusted in the multivariable models, making it difficult to assess how much of the COI signal is independent of disease severity.
The study spans 2009–2022, encompassing the dramatic expansion of highly effective CFTR modulator therapy beginning around 2019–2020. Whether COI-related disparities in hospitalization have narrowed, persisted, or widened in the modulator era is a critically important question that a pooled analysis across this entire period may obscure. Additionally, PHIS captures encounters at participating children's hospitals only — children receiving care at smaller community hospitals or adult centers, disproportionately those in rural or lower-resource settings, are not represented, which could underestimate the true disparity.
The conclusions are appropriately measured, calling for future research into underlying drivers rather than claiming causal mechanisms. The field would benefit from studies that move beyond describing the disparity gradient toward testing specific mediators — insurance type, distance to CF care center, modulator access, or nutritional support. Registry linkage with individual-level rather than area-level social determinants of health data would strengthen future work considerably.
Relevance: CF Registry and Real-World Evidence
Source: https://pubmed.ncbi.nlm.nih.gov/42697797/
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