Ella A Chrenka
Biographic Data
| ID | 5544803 |
|---|---|
| NAME | Ella A Chrenka |
| GIVEN NAMES | Ella A |
| FAMILY NAME | Chrenka |
| SIGNATURE | CHRENKA E A |
| AFFILIATIONS | HealthPartners Institute, Bloomington, MN |
| ORCID | 0000-0002-3750-7062 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Prevalence of Diabetes Among U.S. Refugees and Opportunities to Improve Screening, 2012–2022
This project aimed to describe diabetes prevalence and evaluate diabetes screening among newly arrived U.S. refugees. We included refugees ≥ 18 years who underwent domestic medical exams (DME) at three sites between January 2012-September 2022. Data was obtained from electronic health records. We identified refugees with diagnosed diabetes at DME using ICD-9/10 diagnosis codes. Refugees were classified as having undiagnosed diabetes if they had a…
Use of Sequential Hot-Deck Imputation for Missing Health Care Systems Data for Population Health Research
Electronic medical record (EMR) data present many opportunities for population health research. The use of EMR data for population risk models can be impeded by the high proportion of missingness in key patient variables. Common approaches like complete case analysis and multiple imputation may not be appropriate for some population health initiatives that require a single, complete analytic data set. In this study, we demonstrate a sequential ho…
Factor Analysis in Distinguishing Coronavirus Disease 2019 From Other Influenza-like Illness Using a Validated Patient-Reported Outcome Instrument FLU-PRO Plus
BACKGROUND/OBJECTIVE: InFLUenza Patient-reported Outcome (FLU-PRO Plus) is a 34-item patient-reported outcome instrument designed to capture the intensity and frequency of viral respiratory symptoms. This study evaluates whether FLU-PRO Plus responses could discriminate between symptoms of coronavirus disease 2019 (COVID-19) and influenza-like illness (ILI) with no COVID diagnosis, as well as forecast disease progression. METHODS: FLU-PRO Plus wa…
No prominent works on this page.
Factor Analysis in Distinguishing Coronavirus Disease 2019 From Other Influenza-like Illness Using a Validated Patient-Reported Outcome Instrument FLU-PRO Plus
BACKGROUND/OBJECTIVE: InFLUenza Patient-reported Outcome (FLU-PRO Plus) is a 34-item patient-reported outcome instrument designed to capture the intensity and frequency of viral respiratory symptoms. This study evaluates whether FLU-PRO Plus responses could discriminate between symptoms of coronavirus disease 2019 (COVID-19) and influenza-like illness (ILI) with no COVID diagnosis, as well as forecast disease progression. METHODS: FLU-PRO Plus wa…
Use of Sequential Hot-Deck Imputation for Missing Health Care Systems Data for Population Health Research
Electronic medical record (EMR) data present many opportunities for population health research. The use of EMR data for population risk models can be impeded by the high proportion of missingness in key patient variables. Common approaches like complete case analysis and multiple imputation may not be appropriate for some population health initiatives that require a single, complete analytic data set. In this study, we demonstrate a sequential ho…
Prevalence of Diabetes Among U.S. Refugees and Opportunities to Improve Screening, 2012–2022
This project aimed to describe diabetes prevalence and evaluate diabetes screening among newly arrived U.S. refugees. We included refugees ≥ 18 years who underwent domestic medical exams (DME) at three sites between January 2012-September 2022. Data was obtained from electronic health records. We identified refugees with diagnosed diabetes at DME using ICD-9/10 diagnosis codes. Refugees were classified as having undiagnosed diabetes if they had a…
Medicine (3 works) · Chronic Disease Management Strategies (2 works) · Environmental health (2 works) · Computer Science (1 work) · COVID-19 Clinical Research Studies (1 work) · Data mining (1 work) · Data set (1 work) · Diabetes Management and Education (1 work) · Diabetes mellitus (1 work) · Disease (1 work)