The effect of geographic access on severe health outcomes for pediatric asthma

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• 作者：Erin Garcia^a ; Nicoleta Serban ; PhD^a ; ^{nserban@isye.gatech.edu" class="auth_mail" title="E-mail the corresponding author} ; Julie Swann ; PhD^a ; ^b ; Anne Fitzpatrick ; PhD ; RN ; CPNP ; MSCR^c
• 关键词：Geographic access ; pediatric asthma ; severe health outcomes
• 刊名：Journal of Allergy and Clinical Immunology
• 出版年：2015
• 出版时间：September 2015
• 年：2015
• 卷：136
• 期：3
• 页码：610-618
• 全文大小：1250 K

文摘

Access to medical care and severe pediatric asthma outcomes vary with geography, but the relationship between them has not been studied.

Objective

We sought to evaluate the relationship between geographic access and health outcomes for pediatric asthma.

Methods

The severe outcome measures include emergency department (ED) visits and hospitalizations for children with an asthma diagnosis in Georgia and North Carolina. We quantify asthma prevalence, outcome measures, and factors included in the statistical model using multiple data sources. We calculate geographic access to primary and asthma specialist care using optimization models. We estimate the association between outcomes and geographic access in the presence of other factors using logistic regression. The model is used to project the reduction in severe outcomes with improvement in access.

Results

The association between access and outcomes for pediatric asthma depends on the type of outcome measure, type of care, and variations in other factors. The expression of this association is also different for the 2 states. Access to primary care plays a larger role than access to specialist care in explaining Georgia ED visits, whereas the reverse applies for hospitalizations. In North Carolina access to both primary and specialist care are statistically significant in explaining the variability in ED visits.

Conclusions

The variation in the association between estimated access and outcomes affects the projected reductions of severe outcomes with access improvement. Thus applying one intervention would not have the same level of improvement across geography. Interventions must be tailored to target regions with the potential to deliver the highest effect to gain maximum benefit.