Elham Hatef
Biographic Data
| ID | 5540026 |
|---|---|
| NAME | Elham Hatef |
| GIVEN NAMES | Elham |
| FAMILY NAME | Hatef |
| SIGNATURE | HATEF E |
| AFFILIATIONS | Johns Hopkins University |
| ORCID | 0000-0003-2535-8191 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Higher Percentage of Virtual Primary Care Associated With Minimal Differences in Achievement of Quality Metrics
OBJECTIVE: To test the impact of virtual care usage on quality metrics used for performance measurement. BACKGROUND: Virtual care improves access to primary care; however, the quality of care must not be adversely impacted by its use. METHODS: This is a mixed-design etiologic study using data from patients receiving primary care in a large, regional health system from January 2020 through December 2021. Eligible patients had at least one primary …
Enhancing Maternal Population Health Training Through Maternal Mortality Review Committees
Latent Class Analysis of Social Needs in Medicaid Population and Its Impact on Risk Adjustment Models
BACKGROUND: A growing number of US states are implementing programs to address the social needs (SNs) of their Medicaid populations through managed care contracts. Incorporating SN might also improve risk adjustment methods used to reimburse Medicaid providers. OBJECTIVES: Identify classes of SN present within the Medicaid population and evaluate the performance improvement in risk adjustment models of health care utilization and cost after incor…
Measuring the Value of a Practical Text Mining Approach to Identify Patients With Housing Issues in the Free-Text Notes in Electronic Health Record
Introduction: Despite the growing efforts to standardize coding for social determinants of health (SDOH), they are infrequently captured in electronic health records (EHRs). Most SDOH variables are still captured in the unstructured fields (i.e., free-text) of EHRs. In this study we attempt to evaluate a practical text mining approach (i.e., advanced pattern matching techniques) in identifying phrases referring to housing issues, an important SDO…
Social and Behavioral Variables in the Electronic Health Record
PURPOSE: Social and behavioral determinants of health (SBDH) are important factors that affect the health of individuals but are not routinely captured in a structured and systematic manner in electronic health records (EHRs). The purpose of this study is to generate recommendations for systematic implementation of SBDH data collection in EHRs through (1) reviewing SBDH conceptual and theoretical frameworks and (2) eliciting stakeholder perspecti…
Differential impact of mitigation policies and socioeconomic status on Covid-19 prevalence and social distancing in the United States
Neighborhoods with varying levels of socioeconomic disadvantage reacted differently to the implementation and relaxation of COVID-19 mitigation policies. Policymakers should consider investing more resources in disadvantaged counties as the pandemic may not stop until most neighborhoods have it under control
Assessing the Impact of Neighborhood Socioeconomic Characteristics on Covid-19 Prevalence Across Seven States in the United States
Introduction: The spread of Coronavirus Disease 2019 (COVID-19) across the United States has highlighted the long-standing nationwide health inequalities with socioeconomically challenged communities experiencing a higher burden of the disease. We assessed the impact of neighborhood socioeconomic characteristics on the COVID-19 prevalence across seven selected states (i.e., Arizona, Florida, Illinois, Maryland, North Carolina, South Carolina, and…
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Assessing the Impact of Neighborhood Socioeconomic Characteristics on Covid-19 Prevalence Across Seven States in the United States
Introduction: The spread of Coronavirus Disease 2019 (COVID-19) across the United States has highlighted the long-standing nationwide health inequalities with socioeconomically challenged communities experiencing a higher burden of the disease. We assessed the impact of neighborhood socioeconomic characteristics on the COVID-19 prevalence across seven selected states (i.e., Arizona, Florida, Illinois, Maryland, North Carolina, South Carolina, and…
Measuring the Value of a Practical Text Mining Approach to Identify Patients With Housing Issues in the Free-Text Notes in Electronic Health Record
Introduction: Despite the growing efforts to standardize coding for social determinants of health (SDOH), they are infrequently captured in electronic health records (EHRs). Most SDOH variables are still captured in the unstructured fields (i.e., free-text) of EHRs. In this study we attempt to evaluate a practical text mining approach (i.e., advanced pattern matching techniques) in identifying phrases referring to housing issues, an important SDO…
Social and Behavioral Variables in the Electronic Health Record
PURPOSE: Social and behavioral determinants of health (SBDH) are important factors that affect the health of individuals but are not routinely captured in a structured and systematic manner in electronic health records (EHRs). The purpose of this study is to generate recommendations for systematic implementation of SBDH data collection in EHRs through (1) reviewing SBDH conceptual and theoretical frameworks and (2) eliciting stakeholder perspecti…
Differential impact of mitigation policies and socioeconomic status on Covid-19 prevalence and social distancing in the United States
Neighborhoods with varying levels of socioeconomic disadvantage reacted differently to the implementation and relaxation of COVID-19 mitigation policies. Policymakers should consider investing more resources in disadvantaged counties as the pandemic may not stop until most neighborhoods have it under control
Enhancing Maternal Population Health Training Through Maternal Mortality Review Committees
Latent Class Analysis of Social Needs in Medicaid Population and Its Impact on Risk Adjustment Models
BACKGROUND: A growing number of US states are implementing programs to address the social needs (SNs) of their Medicaid populations through managed care contracts. Incorporating SN might also improve risk adjustment methods used to reimburse Medicaid providers. OBJECTIVES: Identify classes of SN present within the Medicaid population and evaluate the performance improvement in risk adjustment models of health care utilization and cost after incor…
Higher Percentage of Virtual Primary Care Associated With Minimal Differences in Achievement of Quality Metrics
OBJECTIVE: To test the impact of virtual care usage on quality metrics used for performance measurement. BACKGROUND: Virtual care improves access to primary care; however, the quality of care must not be adversely impacted by its use. METHODS: This is a mixed-design etiologic study using data from patients receiving primary care in a large, regional health system from January 2020 through December 2021. Eligible patients had at least one primary …
Medicine (7 works) · Environmental health (5 works) · Population (5 works) · Health care (4 works) · Computer Science (3 works) · Food Security and Health in Diverse Populations (3 works) · Geography (3 works) · Health disparities and outcomes (3 works) · Socioeconomic status (3 works) · Sociology (3 works)