M
Mandana Rezaeiahari
Federal Grant PI
Associate Professor
faculty
Health Policy & Management, College of Public Health
9 h-index
45 pubs
225 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Mandana Rezaeiahari's research focuses on health policy and management, with a particular emphasis on understanding and addressing health disparities. Her work investigates the socioeconomic determinants impacting the implementation of healthcare technologies, such as remote patient monitoring in hospitals. She has also examined the effects of major health events and system changes on health outcomes, including the impact of COVID-19 on opioid overdose deaths in Arkansas and the transition from ICD-9-CM to ICD-10-CM coding on severe maternal morbidity rates.
Rezaeiahari has developed predictive models for pediatric severe asthma exacerbations using administrative claims data and explored patient population segmentation using consumer data for risk prediction. Her research extends to understanding disparities in maternal health through Bayesian network analysis and examining the utilization of diabetes self-management education among Medicare beneficiaries in Arkansas. She is a Principal Investigator on federal grants, including an NIH award to study diabetes self-management education using social network analysis.
Her scholarly contributions include 42 publications and 222 citations, with an h-index of 9. Rezaeiahari leads a research group and collaborates extensively with colleagues at the University of Arkansas for Medical Sciences, including J. Mick Tilford, Anthony Goudie, Akilah A. Jefferson, and Arina Eyimina.
Metrics
- h-index: 9
- Publications: 45
- Citations: 225
Selected Publications
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Delay in breast cancer surgery: evaluating patient, healthcare access, and social vulnerability predictors (2026)
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Trends in Z-Code Utilization to Capture Social Determinants of Health among Children with Asthma in Arkansas (2026)
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Pediatric asthma population risk stratification using k-means clustering (2025)
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Association of Chronic Diabetes with 42-Day Readmission after Delivery Hospitalization (2025)
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Associations Between Food Allergy and Adverse Event Outcomes Among Medicaid-Enrolled Children With Asthma (2025)
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Association of Allergy Specialty Care and Asthma Outcomes for Medicaid-Enrolled Children (2024)
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Utilization of Diabetes Self-Management Education and Support Among Medicare Beneficiaries Newly Diagnosed With Diabetes in Arkansas, 12 Months Postdiagnosis (2015-2018) (2024)
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In-Hospital Mortality by Race and Ethnicity Among Hospitalized COVID-19 Patients Using Data From the US National COVID Cohort Collaborative (2024)
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169 Association of Asthma Specialty Care and Adverse Outcomes for Children Enrolled in the Arkansas Medicaid Program (2024)
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Association of Asthma Specialty Care and Adverse Outcomes for Children Enrolled in the Arkansas Medicaid Program (2024)
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Economic Report of General Inpatient Hospice in an Academic Medical Center (2023)
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Predicting pediatric severe asthma exacerbations: an administrative claims-based predictive model (2023)
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In-Hospital Mortality by Race and Ethnicity Among Hospitalized Covid-19 Patients Using Data from the Us National Covid Cohort Collaborative (2023)
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Asthma Quality Measurement and Adverse Outcomes in Medicaid-Enrolled Children (2023)
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Socioeconomic Determinants of Remote Patient Monitoring Implementation Among Rural and Urban Hospitals (2023)
Federal Grants 1 $165,843 total
NIH/National Institute of Diabetes and Digestive and Kidney Diseases
Contact PI
Sep 2024 - Apr 2028
Grants & Funding
- Understanding Utilization of Diabetes Self-Management Education and Support Using Social Network Analysis NIH/Nat. Inst. of Diabetes & Digestive & Kidney Diseases Principal Investigator
- Understanding Utilization of Diabetes Self-Management Education and Support Using Social Network Analysis NIH/Nat. Inst. of Diabetes & Digestive & Kidney Diseases Principal Investigator
- Understanding Utilization of Diabetes Self-Management Education and Support Using Social Network Analysis NIH/Nat. Inst. of Diabetes & Digestive & Kidney Diseases Principal Investigator
- Understanding Utilization of Diabetes Self-Management Education and Support Using Social Network Analysis NIH/Nat. Inst. of Diabetes & Digestive & Kidney Diseases Principal Investigator
Collaboration Network
Top Collaborators
J. Mick Tilford
University of Arkansas for Medical Sciences
15 shared publications
In database
- Predicting pediatric severe asthma exacerbations: an administrative claims-based predictive model
- Understanding racial disparities in severe maternal morbidity using Bayesian network analysis
- Identification of racial/ethnic disparities associated with severe maternal morbidity using the Arkansas All‐Payer Claims Database (2013‐2017)
- Asthma Quality Measurement and Adverse Outcomes in Medicaid-Enrolled Children
- 215 Relationships between geospatial factors and adverse outcomes in Medicaid-enrolled children with asthma
Showing 5 of 15 shared publications
Clare C. Brown
University of Arkansas for Medical Sciences
14 shared publications
In database
- Predicting pediatric severe asthma exacerbations: an administrative claims-based predictive model
- Understanding racial disparities in severe maternal morbidity using Bayesian network analysis
- Impact of the Transition from ICD-9-CM to ICD-10-CM on the Rates of Severe Maternal Morbidity in Arkansas: An Analysis of Claims Data
- Identification of racial/ethnic disparities associated with severe maternal morbidity using the Arkansas All‐Payer Claims Database (2013‐2017)
- Asthma Quality Measurement and Adverse Outcomes in Medicaid-Enrolled Children
Showing 5 of 14 shared publications
Arina Eyimina
11 shared publications
In database
- Predicting pediatric severe asthma exacerbations: an administrative claims-based predictive model
- Asthma Quality Measurement and Adverse Outcomes in Medicaid-Enrolled Children
- 215 Relationships between geospatial factors and adverse outcomes in Medicaid-enrolled children with asthma
- Comparing Outcomes between HEDIS Persistent Asthma Definition and a Non-Restrictive Model
- Association of Asthma Specialty Care and Adverse Outcomes for Children Enrolled in the Arkansas Medicaid Program
Showing 5 of 11 shared publications
Anthony Goudie
University of Arkansas for Medical Sciences
11 shared publications
In database
- Socioeconomic Determinants of Remote Patient Monitoring Implementation Among Rural and Urban Hospitals
- Predicting pediatric severe asthma exacerbations: an administrative claims-based predictive model
- Asthma Quality Measurement and Adverse Outcomes in Medicaid-Enrolled Children
- 215 Relationships between geospatial factors and adverse outcomes in Medicaid-enrolled children with asthma
- Comparing Outcomes between HEDIS Persistent Asthma Definition and a Non-Restrictive Model
Showing 5 of 11 shared publications
Tamara T. Perry
Arkansas Children's Hospital (US)
9 shared publications
- Predicting pediatric severe asthma exacerbations: an administrative claims-based predictive model
- Asthma Quality Measurement and Adverse Outcomes in Medicaid-Enrolled Children
- 215 Relationships between geospatial factors and adverse outcomes in Medicaid-enrolled children with asthma
- Comparing Outcomes between HEDIS Persistent Asthma Definition and a Non-Restrictive Model
- Association of Asthma Specialty Care and Adverse Outcomes for Children Enrolled in the Arkansas Medicaid Program
Showing 5 of 9 shared publications
Akilah A. Jefferson
Arkansas Children's Hospital
9 shared publications
In database
- Predicting pediatric severe asthma exacerbations: an administrative claims-based predictive model
- Asthma Quality Measurement and Adverse Outcomes in Medicaid-Enrolled Children
- 215 Relationships between geospatial factors and adverse outcomes in Medicaid-enrolled children with asthma
- Comparing Outcomes between HEDIS Persistent Asthma Definition and a Non-Restrictive Model
- Association of Asthma Specialty Care and Adverse Outcomes for Children Enrolled in the Arkansas Medicaid Program
Showing 5 of 9 shared publications
Melanie Boyd
University of Arkansas for Medical Sciences (US)
5 shared publications
- Predicting pediatric severe asthma exacerbations: an administrative claims-based predictive model
- Association of Asthma Specialty Care and Adverse Outcomes for Children Enrolled in the Arkansas Medicaid Program
- 169 Association of Asthma Specialty Care and Adverse Outcomes for Children Enrolled in the Arkansas Medicaid Program
- Association of Allergy Specialty Care and Asthma Outcomes for Medicaid-Enrolled Children
- Associations Between Food Allergy and Adverse Event Outcomes Among Medicaid-Enrolled Children With Asthma
Erhan Ararat
University of Arkansas for Medical Sciences
4 shared publications
In database
- Association of Asthma Specialty Care and Adverse Outcomes for Children Enrolled in the Arkansas Medicaid Program
- Association of Allergy Specialty Care and Asthma Outcomes for Medicaid-Enrolled Children
- Associations Between Food Allergy and Adverse Event Outcomes Among Medicaid-Enrolled Children With Asthma
- Pediatric asthma population risk stratification using k-means clustering
Mir M. Ali
University of Arkansas for Medical Sciences
3 shared publications
In database
- Understanding racial disparities in severe maternal morbidity using Bayesian network analysis
- Impact of the Transition from ICD-9-CM to ICD-10-CM on the Rates of Severe Maternal Morbidity in Arkansas: An Analysis of Claims Data
- Identification of racial/ethnic disparities associated with severe maternal morbidity using the Arkansas All‐Payer Claims Database (2013‐2017)
Antonije Lazic
University of Arkansas for Medical Sciences
2 shared publications
In database
- In-Hospital Mortality by Race and Ethnicity Among Hospitalized Covid-19 Patients Using Data from the Us National Covid Cohort Collaborative
- In-Hospital Mortality by Race and Ethnicity Among Hospitalized COVID-19 Patients Using Data From the US National COVID Cohort Collaborative
Bradley C. Martin
University of Arkansas for Medical Sciences
2 shared publications
In database
- In-Hospital Mortality by Race and Ethnicity Among Hospitalized Covid-19 Patients Using Data from the Us National Covid Cohort Collaborative
- In-Hospital Mortality by Race and Ethnicity Among Hospitalized COVID-19 Patients Using Data From the US National COVID Cohort Collaborative
Ahmad Baghal
University of Arkansas for Medical Sciences
2 shared publications
In database
- In-Hospital Mortality by Race and Ethnicity Among Hospitalized Covid-19 Patients Using Data from the Us National Covid Cohort Collaborative
- In-Hospital Mortality by Race and Ethnicity Among Hospitalized COVID-19 Patients Using Data From the US National COVID Cohort Collaborative
Melody Greer
University of Arkansas for Medical Sciences (US)
2 shared publications
- In-Hospital Mortality by Race and Ethnicity Among Hospitalized Covid-19 Patients Using Data from the Us National Covid Cohort Collaborative
- In-Hospital Mortality by Race and Ethnicity Among Hospitalized COVID-19 Patients Using Data From the US National COVID Cohort Collaborative
Joseph Henske
Arkansas Department of Agriculture (US)
2 shared publications
- Utilization of Diabetes Self-Management Education and Support Among Medicare Beneficiaries Newly Diagnosed With Diabetes in Arkansas, 12 Months Postdiagnosis (2015-2018)
- 554-P: Factors Associated with Participation in Diabetes Self-Management Education and Support in Arkansas—Analysis of Behavioral Risk Factor Surveillance System Data
Kelsey M. Owsley
Winthrop Rockefeller Foundation
2 shared publications
In database
- Utilization of Diabetes Self-Management Education and Support Among Medicare Beneficiaries Newly Diagnosed With Diabetes in Arkansas, 12 Months Postdiagnosis (2015-2018)
- Delay in breast cancer surgery: evaluating patient, healthcare access, and social vulnerability predictors
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