J. Mick Tilford
Federal Grant PI
High Impact
Profesor
faculty
Health Policy & Management, College of Public Health
38 h-index
139 pubs
4,518 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
J. Mick Tilford's research focuses on health policy and management, with a particular emphasis on health disparities and outcomes. He has investigated the financial performance of rural hospitals in relation to telehealth technology adoption and explored racial disparities in severe maternal morbidity using Bayesian network analysis. His work also includes the development of predictive models for pediatric severe asthma exacerbations based on administrative claims data.
Tilford has studied the cost-effectiveness of interventions, including the use of artificial intelligence to optimize weight loss treatment delivery. His research has also examined the labor market participation and productivity costs associated with caregiving for children with specific genetic disorders and the association between the COVID-19 pandemic and mortality due to ischemic heart disease. He has also contributed to economic evaluations, such as understanding the "Carer QALY Trap and Altruism."
His scholarship metrics include an h-index of 38, with 139 total publications and 4,477 total citations. Tilford is a principal investigator on federal grants, including a $210,228 award from the NIH/NIH Office of the Director for the Arkansas Center for Health Disparities T32 Pre-doctoral Research Training Program. He leads a research group and collaborates with multiple colleagues at the University of Arkansas for Medical Sciences.
Metrics
- h-index: 38
- Publications: 139
- Citations: 4,518
Selected Publications
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Burden Tree – a conceptual framework for the burden associated with pediatric infectious diseases: a Delphi approach (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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Healthcare Utilization in the Year Before Death By Suicide: A Multinomial Approach (2025)
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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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Exploring telehealth adoption and financial outcomes for rural hospitals during the COVID‐19 public health emergency (2025)
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Financial Performance of Hospital Telehealth Adopters, Nonadopters, and Switchers: A Rural-Urban Comparison (2025)
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Associations Between Food Allergy and Adverse Event Outcomes Among Medicaid-Enrolled Children With Asthma (2025)
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Fairness in Low Birthweight Predictive Models: Implications of Excluding Race/Ethnicity (2025)
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Association of Allergy Specialty Care and Asthma Outcomes for Medicaid-Enrolled Children (2024)
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Risk of adverse infant outcomes associated with maternal mental health and substance use disorders (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 copayments with healthcare utilization and expenditures among Medicaid enrollees with a substance use disorder (2024)
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Association of Asthma Specialty Care and Adverse Outcomes for Children Enrolled in the Arkansas Medicaid Program (2024)
Federal Grants 1 $210,228 total
NIH/NIH Office of the Director
Contact PI
Apr 2020 - Apr 2030
Arkansas Center for Health Disparities T32 Pre-doctoral Research Training Program
Grants & Funding
- Arkansas Prevention Research Center for Cardiovascular Risk (HTN) Reduction NIH Co-Investigator
- Using Artificial Intelligence to Optimize Delivery of Weight Loss Treatment - Resubmission NIH/Nat. Inst. of Diabetes & Digestive & Kidney Diseases - Pass Through: Drexel University Principal Investigator
- Arkansas Center for Health Disparities T32 Pre-doctoral Research Training Program NIH/National Center on Minority Health and Health Disparities Principal Investigator
- Center for Research, Health and Society NIH Co-Investigator
- Family Bases Contingency Management for Adolescent Alcohol Abuse NIH/Nat. Inst. on Alcohol Abuse & Alcoholism - Pass Through: Dartmouth College Co-Investigator
- Arkansas Center for Health Disparities T32 Pre-doctoral Research Training Program NIH Principal Investigator
- Using Artificial Intelligence to Optimize Delivery of Weight Loss Treatment - Resubmission NIH/Nat. Inst. of Diabetes & Digestive & Kidney Diseases - Pass Through: Drexel University Principal Investigator
- Arkansas Center for Health Disparities T32 Pre-doctoral Research Training Program NIH/National Center on Minority Health and Health Disparities Principal Investigator
Collaboration Network
Top Collaborators
Clare C. Brown
University of Arkansas for Medical Sciences
19 shared publications
In database
- Association of the COVID-19 pandemic and dying at home due to ischemic heart disease
- Rates Of Preterm Birth And Low Birthweight: An Analysis Of Racial And Ethnic Populations
- 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)
Showing 5 of 19 shared publications
Mandana Rezaeiahari
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
Anthony Goudie
University of Arkansas for Medical Sciences
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
- Cost-benefit analysis of home visiting to reduce infant mortality among preterm infants
- Comparing Outcomes between HEDIS Persistent Asthma Definition and a Non-Restrictive Model
Showing 5 of 11 shared publications
Arina Eyimina
University of Arkansas for Medical Sciences
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
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
Austin Porter
3 shared publications
In database
- Association of the COVID-19 pandemic and dying at home due to ischemic heart disease
- Variation in Time Between Testing Positive for COVID-19 and Hospital Admission by Race/Ethnicity and Insurance Status
- Healthcare Utilization in the Year Before Death By Suicide: A Multinomial Approach
Benjamin C. Amick
University of Arkansas for Medical Sciences (US)
3 shared publications
- Association of the COVID-19 pandemic and dying at home due to ischemic heart disease
- Risk of adverse infant outcomes associated with maternal mental health and substance use disorders
- Fairness in Low Birthweight Predictive Models: Implications of Excluding Race/Ethnicity
Antonije Lazic
University of Arkansas for Medical Sciences
3 shared publications
In database
- Association of copayments with healthcare utilization and expenditures among Medicaid enrollees with a substance use disorder
- 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
Saleema A. Karim
Virginia Commonwealth University (US)
3 shared publications
- Financial performance of rural hospitals persistently lacking or having telehealth technology
- Exploring telehealth adoption and financial outcomes for rural hospitals during the COVID‐19 public health emergency
- Financial Performance of Hospital Telehealth Adopters, Nonadopters, and Switchers: A Rural-Urban Comparison
Cari A. Bogulski
University of Arkansas for Medical Sciences
3 shared publications
In database
- Financial performance of rural hospitals persistently lacking or having telehealth technology
- Exploring telehealth adoption and financial outcomes for rural hospitals during the COVID‐19 public health emergency
- Financial Performance of Hospital Telehealth Adopters, Nonadopters, and Switchers: A Rural-Urban Comparison
Corey J. Hayes
University of Arkansas for Medical Sciences
3 shared publications
In database
- Financial performance of rural hospitals persistently lacking or having telehealth technology
- Exploring telehealth adoption and financial outcomes for rural hospitals during the COVID‐19 public health emergency
- Financial Performance of Hospital Telehealth Adopters, Nonadopters, and Switchers: A Rural-Urban Comparison
Hari Eswaran
University of Arkansas for Medical Sciences
3 shared publications
In database
- Financial performance of rural hospitals persistently lacking or having telehealth technology
- Exploring telehealth adoption and financial outcomes for rural hospitals during the COVID‐19 public health emergency
- Financial Performance of Hospital Telehealth Adopters, Nonadopters, and Switchers: A Rural-Urban Comparison
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