Key result
Polysocial risk scores enhance traditional cardiovascular prediction models by incorporating individual and area-level social determinants.
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Social determinants of health (SDOH) are known to determine a significant portion of a person's health, influencing downstream outcomes and widespread disparities. Screening for SDOH in clinical practice can improve efficacy of medical care, highlighting the potential for polysocial risk scores (PsRS) to help evaluate a patient's risk of developing atherosclerotic cardiovascular disease and other conditions. This review highlights existing research about the efficacy of PsRS in practical risk assessment, current gaps in the literature, and opportunities to refine the design and implementation of PsRS in real-world clinical settings. PsRS present unique opportunities to improve traditional risk prediction models for heart disease and other conditions, particularly if they examine both individual and area-level SDOH. Future studies should assess novel methods for extracting SDOH data from patients' medical records as well as PsRS implementation strategies that promote efficiency and patient confidentiality in real-world clinical settings.
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Chang et al. (2024) conducted a review in Atherosclerotic cardiovascular disease. Polysocial risk scores (PsRS) was evaluated. Polysocial risk scores can improve traditional risk prediction models for heart disease and other conditions by evaluating both individual and area-level social determinants of health.
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