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Factors Related to Pediatric Readmissions of Four Major Diagnostic Categories in Hawai`i
Breanna Morrison1, Eunjung Lim1, Hyeong Jun Ahn1
1Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawai`i, Honolulu, HI.
Insights
Understanding pediatric readmissions is vital for healthcare quality. This study found that patient factors like insurance and Charlson Comorbidity Index (CCI) predict readmissions, but analysis should be diagnosis-specific.
Area of Science:
- Healthcare Quality Improvement
- Pediatric Health Outcomes
- Health Services Research
Background:
- Hospital readmissions are a critical measure of healthcare quality.
- Identifying factors associated with readmissions is essential for improving patient care.
- Pediatric readmissions represent a significant area for research and intervention.
Purpose of the Study:
- To identify patient-level factors associated with pediatric readmissions in Hawai'i.
- To analyze these associations across different major diagnostic categories.
- To determine the utility of diagnosis-specific versus combined analyses for readmission predictors.
Main Methods:
- Utilized inpatient data from Hawai'i spanning 2008-2017.
- Focused on four major diagnostic categories: respiratory, digestive, mental, and nervous system disorders.
- Examined associations between readmission and patient variables including age, sex, race/ethnicity, insurance status, and Charlson Comorbidity Index (CCI).
Main Results:
- Charlson Comorbidity Index (CCI) and insurance status emerged as the strongest predictors when all diagnoses were analyzed collectively.
- However, the association between CCI, insurance, and readmission varied significantly across different diagnostic categories.
- Some diagnoses showed weak or no association with CCI and insurance, highlighting diagnostic specificity.
Conclusions:
- Diagnosis-specific analysis of patient-level predictors is likely more informative than a combined approach for pediatric readmissions.
- Patient factors like CCI and insurance are important but their impact is context-dependent on the diagnosis.
- Future research should integrate hospital-level variables to provide a more comprehensive understanding of pediatric readmission drivers.
Abstract:
Readmissions are a key quality measure for health care decision making and understanding variables associated with readmissions has become a crucial research area. This study identified patient-level factors that might be associated with pediatric readmissions using a database that included inpatient data from 2008 to 2017 from Hawai`i. Four major diagnostic categories with the most pediatric readmissions in the state were identified: respiratory, digestive, mental, and nervous system diseases and disorders. The associations between readmission and patient-level variables, such as age, sex, race/ethnicity, insurance status, and Charlson Comorbidity Index (CCI), were determined for each diagnosis and for overall readmissions. CCI and insurance were the strongest predictors when all diagnoses were combined. However, for some diagnoses, there was weak or no association between CCI, insurance, and readmission. This suggests that diagnosis-specific analysis of predictors of readmission may be more useful than looking at predictors of readmission for all diagnoses combined. While this study focused on patient variables, future studies should also incorporate how hospital variables may also be related to diagnosis.
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