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Utility of Ecological Risk Factors for Evaluation of Transplant Center Performance
J D Schold1,2, M P Phelan3, L D Buccini1,2,4
1Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH.
Summary
Social determinants of health significantly impact patient outcomes and healthcare quality metrics. Integrating area-level factors into risk adjustment models can improve fairness and reduce disparities in healthcare.
Area of Science:
- Public Health
- Health Services Research
- Transplant Medicine
Background:
- Social determinants of health (SDOH) are linked to U.S. morbidity and mortality.
- SDOH variations across regions and communities affect healthcare quality measurement.
- Providers treating vulnerable populations may face disadvantages due to lack of risk adjustment.
Purpose of the Study:
- To advocate for the integration of ecological (area-level) factors into risk adjustment models for transplant center quality assessment.
- To address disparities in healthcare access and improve the accuracy of quality evaluations.
Main Methods:
- This viewpoint discusses the implications of SDOH on healthcare quality metrics.
- It proposes the inclusion of area-level factors in risk adjustment models.
- The argument is supported by the National Quality Forum's endorsement of sociodemographic risk adjustment.
Main Results:
- Current risk adjustment models may unfairly penalize centers treating vulnerable populations.
- Integrating ecological factors can lead to more equitable assessments of transplant center quality.
- This approach can reduce disincentives for providers to treat patients from underserved communities.
Conclusions:
- Integrating ecological factors into risk adjustment models is crucial for transplant center quality assessment.
- This reform can mitigate disparities in access to care.
- Improved risk adjustment and model calibration will enhance the evaluation of transplant centers.
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