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Dataset Information

Drivers of High-cost Medical Complexity in a Medicaid Population.


ABSTRACT:

Background

Efforts to improve outcomes for the 10% of patients using two thirds of health care expenditures increasingly include addressing social determinants. Empiric evidence is needed to identify the highest impact nonmedical drivers of medical complexity and cost.

Objectives

This study examines whether complex, highest cost patients have different patterns of critical life adversity than those with better health and lower utilization.

Research design

Using a validated algorithm we constructed a complexity/cost risk patient profile. We developed and fielded a life experience survey (Supplemental Digital Content 1, http://links.lww.com/MLR/B920) to a representative sample, then examined how the prevalence of specific adversities varied between complex, high-cost in

SUBMITTER: Labby D 

PROVIDER: S-EPMC7017939 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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