Developing a risk stratification model for predicting future health care use in asthmatic children.

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DOI: 10.1016/j.anai.2015.10.014


BACKGROUND: Previous studies have stratified pediatric asthma patients for risk of future exacerbation and/or health care use, but most incorporate multiple clinical parameters.

OBJECTIVE: To determine whether historical acute care visits (ACVs) alone could predict risk of future health care use.

METHODS: Children seen for asthma in an outpatient visit during a 3-year period were identified. The number of ACVs in the 12 months before and after the outpatient visit was determined. Logistic regression models were used to determine the odds of a future ACV. Models were adjusted for age, sex, race, and insurance status.

RESULTS: Of 28,047 outpatient visits, 21,099 (75.2%) had no historical ACVs. The probability of a future ACV increased from 30% with one historical ACV to 87% with 5 or more historical ACVs. Outpatient visits with one historical ACV had significantly higher odds of a future ACV compared with those with no historical ACVs (adjusted odds ratio [OR], 3.60; 95% confidence interval [CI], 3.14-4.12; P < .001). The OR increased with each additional historical ACV to an adjusted OR of 58.71 (95% CI, 24.34-141.61; P < .001) with 5 or more historical ACVs. Outpatient visits with 5 or more historical ACVs represented only 1.1% of the study sample but accounted for a higher mean number of future ACVs.

CONCLUSION: The historical count of ACVs was predictive of future ACVs. A significant increase in the probability of future ACVs was observed with each additional historical visit, effectively stratifying risk by the historical visit count. Notably, a small group of patients accounted for a disproportionate number of future ACVs.

Journal Title

Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology





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MeSH Keywords

Adolescent; Ambulatory Care; Asthma; Child; Child, Preschool; Female; Humans; Male; Missouri; Models, Theoretical; Primary Health Care; Regression Analysis; Reproducibility of Results; Risk


Asthma; Prmary Health Care

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