Predicting readmission to hospital with asthma

J Paediatr Child Health. 1998 Dec;34(6):534-8. doi: 10.1046/j.1440-1754.1998.00297.x.

Abstract

Objectives: To determine whether readmission to hospital for children aged 1-7 years with asthma can be predicted; and to discover whether factors related to the severity of the attack and past pattern of asthma, assessment of the parents' intention to treat the child with inhaled therapy, perceived consequences of treatment, habits of treatment and self-efficacy show a difference between those children subsequently readmitted and those who were not.

Methods: A specifically developed questionnaire was administered to parents of 121 children admitted with asthma. Clinical assessment was made of severity of the acute attack and past pattern of the asthma. One year after admission subjects were reviewed to determine those who had been readmitted.

Results: On univariate analysis, the negative perceived consequences of treatment with inhaled therapy were associated with an increased risk of readmission over a one-year period (P = 0.04). After adjusting for confounders (place of birth of mother, two- or one-parent family) and the effect-modifier of past pattern of the asthma (infrequent episodic, frequent episodic, persistent), the greater the negative perceived consequences of treatment, the more likely there would be readmission in children with infrequent episodic asthma. After adjusting for potential confounders, using logistic regression a decrease of one standard deviation in the negative perceived consequences score resulted in a one-third decrease in the odds of readmission (odds ratio (OR) = 0.31, 95% CI 0.12-0.83).

Conclusions: Parents whose children are readmitted see greater negative perceived consequences of treatment. If asthma is infrequent episodic, the negative perceived consequences may be an inhibitor of treatment, whereas for more severe past patterns of asthma the severity is the controller of treatment. If parental negative consequences could be decreased, admissions for asthma may decrease.

MeSH terms

  • Asthma / therapy*
  • Attitude
  • Child
  • Child, Preschool
  • Humans
  • Infant
  • Logistic Models
  • Models, Statistical
  • Parents / psychology
  • Patient Readmission / statistics & numerical data*
  • Risk Factors
  • Severity of Illness Index
  • Surveys and Questionnaires