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Identifying high-cost patients in psychiatry: Optimal cut-off values for previous admissions and length of stay
Sou Bouy Loew1, Julian Moeller1, Roselind Lieb2
1University Psychiatric Clinics (UPK), University of Basel, Basel, Switzerland; Division of Clinical Psychology and Epidemiology, Department of Psychology, University of Basel, Basel, Switzerland.
Insights
Identifying high-cost patients (HCP) in psychiatry is crucial for effective care. This study suggests using inpatient treatment days as a predictor, but further factors are needed for precise identification of these patients.
Area of Science:
- Psychiatry
- Health Economics
- Healthcare Management
Background:
- High-cost patients (HCP) in psychiatry consume disproportionately high healthcare resources.
- Accurate identification of HCP is essential for targeted interventions and resource allocation.
- This study aimed to establish evidence-based definitions for identifying HCP in psychiatric care.
Purpose of the Study:
- To define evidence-based criteria for identifying high-cost patients (HCP) in psychiatric care.
- To evaluate the predictive accuracy of previous healthcare utilization for identifying HCP.
- To determine optimal cut-off points for previous admissions and length of stay to define HCP.
Main Methods:
- Utilized receiver-operator characteristic (ROC) curve analyses on 898 inpatients from a Swiss psychiatric university hospital.
- Analyzed a 12-month post-index hospitalization period to define HCP based on the 90th cost percentile.
- Examined retrospective data from 18- and 30-month periods preceding index hospitalization for admissions and length of stay.
Main Results:
- Previous treatment utilization significantly predicted HCP status (AUC 0.70-0.74).
- Models using cumulative inpatient treatment days showed higher positive predictive values (51.7%-53.9%) compared to admission counts.
- Proposed cut-offs: >45.5 inpatient days (18 months prior) or >46.5 days (30 months prior) for HCP identification, though only identifying slightly over half of HCP.
Conclusions:
- Current models based on past utilization inadequately identify all high-cost patients (HCP).
- Additional predictors are necessary to improve the definition and identification of HCP.
- Future research should explore and incorporate novel characteristics to enhance HCP identification strategies.
Background:
High-cost patients (HCP) in psychiatry show an above-average use of healthcare resources. Therefore precise identification is important to enable effective treatment of this vulnerable patient group. This study aims to provide evidence-based definitions of HCP.
Methods:
Eight hundred ninety-eight inpatients from a large psychiatric university hospital in Switzerland were defined as causing costs at/above or under the 90th percentile in a 12-month observation period after index hospitalization. We used receiver-operator characteristic curve (ROC) analyses to estimate optimal cut-off points for previous admissions and length of stay within a retrospective observation period of either 18 or 30 months before index hospitalization.
Results:
Previous treatment utilization are predictors for HCP status (AUC 0.70-0.74, p < 0.05). Using optimal cut-off values, the models correctly identified 97.2 %-99.4 % of all non-HCP. However, models assessing the previous number of admissions within a 18- or 30-month observation period could only correctly identify 3.4 % of HCP for each predictor. ROC analyses clearly favored models using cumulative number of inpatient treatment days with a positive predictive value of 51.7 %-53.9 %. Our results suggest that >45.5 inpatient treatment days 18 months before index hospitalization or >46.5 days 30 months before index hospitalization should be used as cut-off for HCP. Still, with these models only a little over half of the HCP are correctly identified.
Conclusions:
Our results suggests that further predictors contribute to HCP status which should be explored in the future and included as characteristics used to define HCP.
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