The Impact of Sociodemographic Factors on CMS HCC Risk Scores for Aged/Dual (AGDU) Beneficiaries in the US

This study investigates how sociodemographic factors of an area impact the CMS HCC risk score for dual eligible or Aged/Dual (AGDU) beneficiaries. This study examined factors like population, income, age distribution, and healthcare resources across 587 US counties. Data from the CMS HCC risk score repository, US Census Bureau, CMS Home Health Compare, and the National Healthcare Quality and Disparities Report were considered for the study. Data from 2016 to 2023 were considered for the study. Multiple predictive models were implemented, and the two best-performing models were selected for analysis. Results emphasize the crucial impact of “Adults with Dedicated Caregivers” and “Median Household Income” on influencing risk scores in a given area. This research underscores the importance of a comprehensive approach to healthcare resource allocation, considering the demographic characteristics to optimize health outcomes for Aged/Dual beneficiaries.

Authors

Institutions

Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/iciibms62405.2024.10792689
Citations
4
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
1.61
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Sociodemographic Factors on CMS HCC Risk Scores for Aged/Dual (AGDU) Beneficiaries in the US

Mohammad Ishtiaque Rahman
4 citations
Cardiovascular Function and Risk Factors
1.61
article

The Impact of Sociodemographic Factors on CMS HCC Risk Scores for Aged/Dual (AGDU) Beneficiaries in the US

Mohammad Ishtiaque Rahman
article en
4 citations

Abstract

This study investigates how sociodemographic factors of an area impact the CMS HCC risk score for dual eligible or Aged/Dual (AGDU) beneficiaries. This study examined factors like population, income, age distribution, and healthcare resources across 587 US counties. Data from the CMS HCC risk score repository, US Census Bureau, CMS Home Health Compare, and the National Healthcare Quality and Disparities Report were considered for the study. Data from 2016 to 2023 were considered for the study. Multiple predictive models were implemented, and the two best-performing models were selected for analysis. Results emphasize the crucial impact of “Adults with Dedicated Caregivers” and “Median Household Income” on influencing risk scores in a given area. This research underscores the importance of a comprehensive approach to healthcare resource allocation, considering the demographic characteristics to optimize health outcomes for Aged/Dual beneficiaries.

University of Maryland, Baltimore County (US)
Openalex Percentile: Top 14%
Cardiovascular Function and Risk Factors
1.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.