Related Experiment Video
Updated: Dec 21, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Association Between Physician Risk Assessment, Hierarchical Condition Categories, and Utilization of Medical Services
Robert J Fortuna1,2,3,4, John S Clark1, Wallace E Johnson1,2
1Center for Primary Care, University of Rochester, Rochester, New York, USA.
Insights
Hierarchical Condition Categories (HCCs) show moderate-to-weak correlation with physician risk scores. While HCCs and clinical risk scores associate with healthcare charges and utilization, caution is advised due to the weak correlation.
Area of Science:
- Health Services Research
- Clinical Informatics
- Risk Adjustment Methodologies
Background:
- Hierarchical Condition Categories (HCCs) are utilized for risk adjustment to align care management with population health needs.
- Physician-determined clinical risk (CR) scores offer a subjective assessment of patient risk for adverse events.
Purpose of the Study:
- To examine the association between HCC scores and physician-determined CR scores.
- To evaluate the relationship between HCC scores, CR scores, healthcare charges, and utilization of medical services.
Main Methods:
- A study involving 128 primary care physicians (PCPs) assessed 6167 patients across 31 practices.
- PCPs assigned CR scores for the top 50 high-risk patients based on HCC scores.
- Statistical analysis correlated HCC scores with CR scores, annual charges, and healthcare utilization.
Main Results:
- A moderate-to-weak correlation (44.0%) was found between HCC scores and physician CR scores.
- Only 18.5% of PCPs demonstrated a correlation greater than 60% between HCC and CR scores.
- Both HCC and CR scores positively correlated with healthcare charges, hospital admissions, emergency department visits, and advanced imaging utilization.
Conclusions:
- HCC scores demonstrate a moderate-to-weak correlation with physician assessments of patient risk for ED visits or hospital admissions.
- While HCCs and CR scores are associated with increased healthcare charges and utilization, the limited concordance with physician judgment suggests cautious application.
- HCCs may aid in health resource allocation, but their predictive accuracy for individual patient risk requires careful consideration.
Abstract:
Hierarchical Condition Categories (HCCs) are a common risk adjustment tool that may support alignment of care management resources with the clinical needs of a population. The authors examined the association between HCC scores and physician-determined clinical risk (CR) scores, annual charges, and utilization of medical care. CR score was defined as the anticipated risk for "ED or a hospital admission" within the following year. For each of the top 50 high-risk patients identified by total HCC score, the patient's primary care physician (PCP) entered a CR score based on their judgement. A total of 128 PCPs entered scores on 6167 patients of all ages across 31 primary care practices in the Finger Lakes Region of New York. Multiple correlation between HCC scores and physician CR scores was 44.0% (P < 0.001); only 18.5% of PCPs had a correlation >60%. There was a positive association between CR score and charges (slope 19.7K; P < 0.001) and between HCC score and charges (slope 25.7K; P < 0.001). Both HCC and CR scores were positively correlated (P < 0.001) with medical/surgical admissions, emergency department (ED) visits, and utilization of advanced imaging. Across a broad range of patients, HCC scores had a moderate-to-weak correlation with physician-determined CR scores for patients' risk of an ED visit or hospital admission. Both CR scores and HCCs scores were positively associated with charges and utilization. HCCs may assist in the allocation of health resources, but the relatively weak correlation with physician-determined CR scores warrants caution.
More Related Videos
07:51Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
Published on: September 26, 2018
05:16Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
Published on: June 10, 2025
Related Concept Videos
Hazard Ratio
For example, in a clinical trial...
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic...
Preventive Healthcare Services
Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Primary Healthcare Services
In 1978, international leaders convened in Alma-Ata, Kazakhstan, for what would be a pivotal event in global health. The Alma-Ata Declaration was the first to call...