Molly Jacobs
Associate Professor | University of Florida
Gainesville, FL, UNITED STATES
Molly Jacobs conducts research on health outcomes, healthcare utilization, and treatment/intervention efficacy.
Biography
Molly Jacobs is an associate professor in the College of Public Health and Health Professions. Her research focuses on health outcomes and healthcare utilization, particularly among post-stroke stroke survivors and those with cognitive impairment. Her work employs advanced data analysis and machine learning techniques to explore the economic impacts of health conditions and the effectiveness of healthcare interventions. Her work aims to inform policies that promote equitable healthcare access and outcomes for disadvantaged populations.
Areas of Expertise (5)
Data Analytics
Econometrics
Health Economics
Multilevel Analysis
Cost Effectiveness
Articles (3)
Post-Pandemic Inflation and Compensatory Changes: Perception, Stress, and Difficulties by Race, Ethnicity, and Those Recovering from COVID-19 Infection
Race and Social ProblemsMolly M. Jacobs, et. al
2025-02-01
Price increases following the COVID-19 pandemic have disproportionately impacted lower-income households and historically underrepresented racial and ethnic groups—those populations who were also disproportionately impacted by COVID-19.
Differential Impacts of Anticipated Success on Employment Outcomes Among Adults Who Stutter
American Journal of Speech-Language PathologyMolly M. Jacobs, et. al
2025-01-07
Stuttering is associated with disparities in labor market outcomes among young adults, but little is known about how labor market outcomes associated with stuttering change over time. Therefore, this study characterized longitudinal associations between stuttering and early life expectations, job satisfaction, receipt of employer-provided insurance benefits, and income.
A Machine Learning Analysis of Suicidal Ideation and Suicide Attempt among U.S. Youth and Young Adults from Multilevel, Longitudinal Survey Data
Frontiers in PsychiatryMolly M. Jacobs, et. al
2025-01-01
To investigate individual, interpersonal, health system, and community factors associated with suicidal ideation (SI) and attempts (SA). Utilizing nationally representative data from the National Longitudinal Study of Adolescent to Adult Health (7 th -12 th graders in 1994-95 followed >20 years until 2016-18, N=18,375), least absolute shrinkage selector operator (LASSO) regression determined multilevel predictors of SA and SI.
