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The LACE index and risk factors of 14-day versus 30-day readmissions in children
Chaohsin Lin1, Shuofen Hsu1, Yu-Hua Yan2
1Department of Risk Management and Insurance, National Kaohsiung University of Science and Technology, No. 1, University Rd., Yanchao Dist., Kaohsiung 824005, Taiwan.
Insights
The LACE index for adults is less effective in predicting pediatric readmissions. A simpler model using length of stay and prior admissions outperformed the LACE index, highlighting different risk factors for short-term vs. 30-day child readmissions.
Area of Science:
- Pediatric Healthcare Research
- Health Services Research
- Epidemiology
Background:
- Pediatric readmission risk factors differ from adults, with limited data on adult-derived prediction tools like the LACE index (Length of stay, Acute admission, Charlson comorbidity index, Emergency department visits).
- Understanding predictors for pediatric readmissions, especially within shorter post-discharge intervals, is crucial for effective intervention and resource allocation.
Purpose of the Study:
- To evaluate the validity of the adult LACE index for predicting 30-day hospital readmissions in children.
- To identify distinct risk factors for early (0-14 days) versus later (15-30 days) pediatric readmissions.
- To compare the predictive performance of the LACE index against simpler models.
Main Methods:
- Retrospective cohort analysis of 4256 pediatric patients (≤18 years) hospitalized in 2019.
- Evaluation of the LACE index and other logistic regression models for 30-day readmission prediction.
- Multinomial logistic regression to differentiate risk factors for 0-14 day vs. 15-30 day readmissions.
Main Results:
- The optimal LACE index cut-off for children (7) differed from adults (10).
- A simplified model using length of stay and prior year admissions outperformed the LACE index in predicting pediatric readmissions.
- Supplemental private health insurance was associated with lower readmission rates compared to National Health Insurance only, indicating socioeconomic disparities.
- Risk factors varied by readmission interval: acute admissions were relevant for <14 days, while age was significant for 15-30 days; prior healthcare utilization and illness burden predicted longer-term readmissions.
Conclusions:
- The adult LACE index has limited validity for predicting pediatric readmissions.
- A simpler predictive model focusing on length of stay and prior admissions is more effective for identifying at-risk children.
- Distinct factors influence short-term versus 30-day pediatric readmissions, necessitating tailored screening and interventions.
- Socioeconomic disparities, including insurance status, play a role in pediatric readmission rates.
Abstract:
Risk factors for readmissions in children differ from those in adults, yet little is known about whether the LACE index (Length of stay, Acute admission, Charlson comorbidity index, Emergency department visits in the previous 6 months) developed for adults retains its validity when applied to the prediction of readmissions in children or within shorter intervals of time after discharge. In this retrospective cohort analysis of 4256 patients aged ≤18 years hospitalized at one academic medical center in Taiwan in 2019, we first evaluated the performance of a LACE index model and the three other multivariate logistic regression models in their predictions of hospital readmissions in children using the same time interval of 30 days. We then used multinomial logistic regression to analyze the characteristics and risk factors for readmissions that occur in the first 14 days with those that occur between 15 and 30 days after discharge. The optimal cut-off of the LACE index score for children in the current study was 7, which is less than the optimal score of 10 in the original derivation for adults. The predictive model with the least discriminatory power was based on the LACE score alone, whereas our model that included only two variables (length of stay and the number of admissions in the past 1 year) was found to outperform the LACE index. Multinomial logistic regression results revealed that children who had supplemental private health insurance had lower readmission rates than those insured by the National Health Insurance program only, suggesting a disparity by insurance status. Some risk factors of readmission within 14 days such as acute admissions and supplemental private health insurance were not found to be relevant for longer-term predictions, while age, which was a valid predictor of readmission within 15-30 days, did not affect the prediction of shorter-term readmissions. Prior health care utilization and a higher illness burden were found to be greater contributors to readmissions beyond 14 days. Our simpler model outperformed the more complex LACE tool in identifying children at risk of readmission. Shorter-term readmissions can be attributed to different causes than 30-day readmissions, suggesting a need for different screening tools, interventions, and care support. There remains some socioeconomic disparity associated with readmission rates in the current health care system.
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