Winnie Chi
Biographic Data
| ID | 5534801 |
|---|---|
| NAME | Winnie Chi |
| GIVEN NAMES | Winnie |
| FAMILY NAME | Chi |
| SIGNATURE | CHI W |
| AFFILIATIONS | Health Services Research, Carelon Research Inc, Wilmington, Delaware, USA |
| ORCID | 0000-0003-0098-7944 |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Whose health is impacted by income inequality? Associations between county-level income inequality and healthcare utilisation in an insured population
BACKGROUND: Many studies have detected a negative relationship between income inequality and general measures of health. However, data limitations have prevented a full understanding of whose health is impacted and in what ways. METHODS: In this study, we combined area-level census data with individual-level health claims data to estimate the cross-sectional association between county-level income inequality and healthcare utilisation across a ra…
The Impact of the Covid-19 Pandemic on Health Care Utilization Among Insured Individuals With Common Chronic Conditions
OBJECTIVE: The COVID pandemic has had a significant impact on the US health care system. Our primary objective was to understand the impact of the COVID pandemic on non-COVID-related health care utilization among insured individuals with chronic conditions. Our secondary objective was to examine the differential impact by individual characteristics. MAIN DATA SOURCE: Medical and pharmacy claims data for individuals enrolled in a large insurer acr…
Comparing Population-based Risk-stratification Model Performance Using Demographic, Diagnosis and Medication Data Extracted From Outpatient Electronic Health Records Versus Administrative Claims
BACKGROUND: There is an increasing demand for electronic health record (EHR)-based risk stratification and predictive modeling tools at the population level. This trend is partly due to increased value-based payment policies and the increasing availability of EHRs at the provider level. Risk stratification models, however, have been traditionally derived from claims or encounter systems. This study evaluates the challenges and opportunities of us…
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Comparing Population-based Risk-stratification Model Performance Using Demographic, Diagnosis and Medication Data Extracted From Outpatient Electronic Health Records Versus Administrative Claims
BACKGROUND: There is an increasing demand for electronic health record (EHR)-based risk stratification and predictive modeling tools at the population level. This trend is partly due to increased value-based payment policies and the increasing availability of EHRs at the provider level. Risk stratification models, however, have been traditionally derived from claims or encounter systems. This study evaluates the challenges and opportunities of us…
The Impact of the Covid-19 Pandemic on Health Care Utilization Among Insured Individuals With Common Chronic Conditions
OBJECTIVE: The COVID pandemic has had a significant impact on the US health care system. Our primary objective was to understand the impact of the COVID pandemic on non-COVID-related health care utilization among insured individuals with chronic conditions. Our secondary objective was to examine the differential impact by individual characteristics. MAIN DATA SOURCE: Medical and pharmacy claims data for individuals enrolled in a large insurer acr…
Whose health is impacted by income inequality? Associations between county-level income inequality and healthcare utilisation in an insured population
BACKGROUND: Many studies have detected a negative relationship between income inequality and general measures of health. However, data limitations have prevented a full understanding of whose health is impacted and in what ways. METHODS: In this study, we combined area-level census data with individual-level health claims data to estimate the cross-sectional association between county-level income inequality and healthcare utilisation across a ra…
Health care (3 works) · Environmental health (2 works) · Internal Medicine (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Population (2 works) · 2019-20 coronavirus outbreak (1 works) · Actuarial science (1 works) · Business (1 works) · Chronic Disease Management Strategies (1 works)