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Updating the Chronic Illness and Disability Payment System.
1Herbert Wertheim School of Public Health and Human Longevity Science, University of California, La Jolla, CA.
The updated Chronic Illness and Disability Payment System (CDPS) models use recent Medicaid data. Social determinants of health indicators were not found to predict healthcare spending in this analysis.
Area of Science:
- Health Services Research
- Health Economics
- Public Health Policy
Background:
- The Chronic Illness and Disability Payment System (CDPS) is utilized by 33 of 38 state Medicaid programs for risk adjustment.
- There is growing interest in integrating social determinants of health (SDH) into healthcare risk-adjustment models.
Purpose of the Study:
- To update CDPS models with recent International Classification of Diseases version 10 (ICD-10) coded data from Medicaid managed care organizations (MCOs).
- To investigate the predictive power of SDH indicators on healthcare expenditures within Medicaid populations.
Main Methods:
- Utilized health care eligibility and claims records from 1.4 million disabled beneficiaries, 9.2 million children, and 6.4 million adults across 8 states (2017-2019).
- Updated CDPS models using ICD-10 codes and assessed the relationship between healthcare spending and the Social Deprivation Index (SDI).
Main Results:
- The revised CDPS model includes 52 categories within 19 major groups, with significant revisions in six major categories (Psychiatric, Pulmonary, Renal, Cancer, Infectious Disease, Hematological).
- No statistically significant relationship was identified between healthcare spending and the Social Deprivation Index.
Conclusions:
- Revised CDPS models incorporate updated ICD-10 coding and current managed care practices.
- States should explore alternative payment strategies to effectively address health disparities and improve health outcomes.
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