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Subgroups of High-Cost Patients and Their Preventable Inpatient Cost in Rural China.

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Summary

High-cost patients were classified into 14 subgroups, revealing varied healthcare needs. Chronic disease patients incurred the highest preventable inpatient costs, suggesting targeted interventions are crucial for cost reduction.

Keywords:
High-Cost PatientsPatient SegmentationPotentially Preventable HospitalizationPreventable Inpatient CostRural China

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Area of Science:

  • Health Services Research
  • Public Health
  • Healthcare Economics

Background:

  • High-cost patients represent a significant and heterogeneous portion of healthcare expenditures.
  • Understanding the heterogeneity of high-cost patients is essential for effective cost containment.

Purpose of the Study:

  • To classify high-cost patients into clinically homogeneous subgroups.
  • To describe healthcare utilization patterns within these subgroups.
  • To identify subgroups with high preventable inpatient costs (PIC) in rural China.

Main Methods:

  • A population-based retrospective study using claims data from rural China.
  • Identified the top 10% of high-cost patients (32,108 individuals).
  • Employed a density-based clustering algorithm and expert opinion for subgroup classification. Calculated PIC based on potentially preventable hospitalizations (PPHs).

Main Results:

  • Fourteen distinct subgroups of high-cost patients were identified.
  • Subgroups varied significantly in healthcare utilization (admissions, length of stay, outpatient visits) and spending.
  • The chronic disease subgroup exhibited the highest proportion of PIC (10.57% of total spending).

Conclusions:

  • Classification of high-cost patients into 14 subgroups revealed diverse healthcare utilization and spending profiles.
  • Targeted strategies are necessary to reduce preventable hospitalizations across different subgroups.
  • Prioritizing interventions for high-cost patients with chronic diseases is recommended for cost reduction.